{ "schemaVersion": 1, "collection": "terms", "count": 189, "data": [ { "schemaVersion": 1, "entityType": "term", "id": "2d", "url": "https://nexttoken.tv/wiki/terms/2d", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/2d.json", "name": { "zh-Hans": "二维（2D）", "en": "2D" }, "summary": { "zh-Hans": "二维（2D）指只有长和宽两个维度的平面。2D 计算机图形直接在平面上处理像素或矢量形状，不构造立体模型，常见于插画、界面图标与动画。", "en": "2D refers to a plane with only two dimensions, length and width. 2D computer graphics work directly with pixels or vector shapes on a flat surface rather than building solid models, common in illustration, interface icons and animation." }, "aliases": [ "二维图形", "二维" ], "sources": [ { "label": { "zh-Hans": "维基百科：2D 计算机图形", "en": "Wikipedia: 2D computer graphics" }, "href": "https://en.wikipedia.org/wiki/2D_computer_graphics" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "3d", "url": "https://nexttoken.tv/wiki/terms/3d", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/3d.json", "name": { "zh-Hans": "三维（3D）", "en": "3D" }, "summary": { "zh-Hans": "三维（3D）指具有长、宽、高三个维度的空间。在计算机图形中，3D 指用数学模型描述立体物体，再经渲染生成平面图像的技术，广泛用于影视、游戏与工业设计。", "en": "3D refers to space with three dimensions—length, width and height. In computer graphics, 3D describes techniques that model solid objects mathematically and render them into planar images, widely used in film, games and industrial design." }, "aliases": [ "三维图形", "三维" ], "sources": [ { "label": { "zh-Hans": "维基百科：3D 计算机图形", "en": "Wikipedia: 3D computer graphics" }, "href": "https://en.wikipedia.org/wiki/3D_computer_graphics" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "4k", "url": "https://nexttoken.tv/wiki/terms/4k", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/4k.json", "name": { "zh-Hans": "4K 分辨率", "en": "4K resolution" }, "summary": { "zh-Hans": "4K 描述横向约四千像素的图像分辨率；消费级 UHD 常用 3840×2160，数字影院还使用 4096×2160。", "en": "4K describes image resolutions around four thousand pixels wide: consumer UHD commonly uses 3840×2160, while digital cinema also uses 4096×2160." }, "aliases": [ "4K" ], "sources": [ { "label": { "zh-Hans": "Sony · 4K white paper", "en": "Sony · 4K white paper" }, "href": "https://www.sony.com/campaign/SNA/pdf/Sony_4K_Projectors_White_Paper_v2.3.pdf" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "5g", "url": "https://nexttoken.tv/wiki/terms/5g", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/5g.json", "name": { "zh-Hans": "第五代移动通信（5G）", "en": "5G" }, "summary": { "zh-Hans": "5G 是第五代移动通信技术，由 3GPP 标准化，在 4G 之上提供更高的数据速率、更低的延迟和更强的连接密度。它引入了新的空口（5G NR）与更灵活的核心网架构，同时支持增强移动宽带和面向物联网的场景。", "en": "5G is the fifth generation of mobile network technology, standardized by 3GPP to deliver higher data rates, lower latency, and greater connection density than 4G. It introduces a new radio interface (5G NR) and a more flexible core network, supporting both enhanced mobile broadband and internet-of-things use cases." }, "aliases": [ "第五代移动通信技术", "5G NR", "第五代移动通信" ], "sources": [ { "label": { "zh-Hans": "维基百科：5G", "en": "Wikipedia: 5G" }, "href": "https://en.wikipedia.org/wiki/5G" }, { "label": { "zh-Hans": "3GPP：5G System Overview", "en": "3GPP: 5G System Overview" }, "href": "https://www.3gpp.org/technologies/5g-system-overview" }, { "label": { "zh-Hans": "高通：What is 5G?", "en": "Qualcomm: What is 5G?" }, "href": "https://www.qualcomm.com/research/5g/what-is-5g" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "a-roll-b-roll", "url": "https://nexttoken.tv/wiki/terms/a-roll-b-roll", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/a-roll-b-roll.json", "name": { "zh-Hans": "主体与补充素材（A-Roll / B-Roll）", "en": "A-Roll and B-Roll" }, "summary": { "zh-Hans": "A-Roll 是承载主要叙事的素材，B-Roll 是补充、说明或丰富叙事的画面。两者描述剪辑中的用途，而非画质等级。", "en": "A-roll carries the main narrative, while B-roll supplies supporting or illustrative footage. The labels describe editorial roles, not image quality." }, "aliases": [ "A-Roll", "B-Roll", "主体素材", "补充素材" ], "sources": [ { "label": { "zh-Hans": "Adobe: B-roll footage", "en": "Adobe: B-roll footage" }, "href": "https://www.adobe.com/creativecloud/video/discover/b-roll.html" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "ab-testing", "url": "https://nexttoken.tv/wiki/terms/ab-testing", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ab-testing.json", "name": { "zh-Hans": "A/B 测试", "en": "A/B Testing" }, "summary": { "zh-Hans": "A/B 测试是一种对照实验方法：把用户或流量随机分成两组，分别体验不同版本，再依据预先选定的量化指标判断哪个版本效果更好。", "en": "A/B testing is a controlled experiment method: users or traffic are randomly split into groups that experience different variants, and a metric chosen in advance decides which variant performs better." }, "aliases": [ "A/B Test", "AB 测试", "Split Testing" ], "sources": [ { "label": { "zh-Hans": "维基百科：A/B 测试", "en": "Wikipedia: A/B testing" }, "href": "https://en.wikipedia.org/wiki/A/B_testing" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "adhd", "url": "https://nexttoken.tv/wiki/terms/adhd", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/adhd.json", "name": { "zh-Hans": "注意缺陷多动障碍（ADHD）", "en": "Attention-Deficit/Hyperactivity Disorder (ADHD)" }, "summary": { "zh-Hans": "注意缺陷多动障碍（ADHD）是一种常见的神经发育障碍，主要特征为持续的注意力不集中、多动与冲动，通常始于儿童期，可能延续至成年。诊断与干预须由专业人员依据标准化标准进行。", "en": "Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder marked by persistent inattention, hyperactivity and impulsivity that usually begins in childhood and can continue into adulthood. Diagnosis and treatment belong to qualified professionals working from standardized criteria." }, "aliases": [ "ADHD", "注意缺陷多动障碍", "Attention-Deficit/Hyperactivity Disorder" ], "sources": [ { "label": { "zh-Hans": "美国国家精神卫生研究所：ADHD 专题", "en": "NIMH: Attention-Deficit/Hyperactivity Disorder" }, "href": "https://www.nimh.nih.gov/health/topics/attention-deficit-hyperactivity-disorder-adhd" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "agent", "url": "https://nexttoken.tv/wiki/terms/agent", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/agent.json", "name": { "zh-Hans": "智能体", "en": "Agent" }, "summary": { "zh-Hans": "能够感知环境、自主决策并调用工具以完成目标的软件系统，在 AI 语境下通常以大语言模型作为推理与规划的核心。", "en": "A software system that perceives its environment, makes decisions and uses tools to pursue goals, often with an LLM serving as its reasoning core." }, "aliases": [ "AI Agent", "AI 智能体" ], "sources": [ { "label": { "zh-Hans": "维基百科：软件智能体", "en": "Wikipedia: Software agent" }, "href": "https://en.wikipedia.org/wiki/Software_agent" }, { "label": { "zh-Hans": "维基百科：智能体", "en": "Wikipedia: Intelligent agent" }, "href": "https://en.wikipedia.org/wiki/Intelligent_agent" }, { "label": { "zh-Hans": "Anthropic：构建高效的智能体", "en": "Anthropic: Building effective agents" }, "href": "https://www.anthropic.com/research/building-effective-agents" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "agent-routing", "url": "https://nexttoken.tv/wiki/terms/agent-routing", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/agent-routing.json", "name": { "zh-Hans": "智能体路由", "en": "Agent Routing" }, "summary": { "zh-Hans": "按任务类型或上下文，将请求分配给适合的模型、工具或智能体的机制。", "en": "A mechanism for assigning requests to suitable models, tools or agents based on the task and context." }, "aliases": [ "Router", "Routing" ], "sources": [ { "label": { "zh-Hans": "定义与相关资料", "en": "Definition and context" }, "href": "https://www.anthropic.com/research/building-effective-agents" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "agent-skills", "url": "https://nexttoken.tv/wiki/terms/agent-skills", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/agent-skills.json", "name": { "zh-Hans": "智能体技能", "en": "Agent Skills" }, "summary": { "zh-Hans": "将指令、脚本与资源打包成文件夹（如包含 SKILL.md 的目录），让智能体在需要时按需加载对应能力的机制。", "en": "A mechanism that packages instructions, scripts and resources into folders (such as a directory containing a SKILL.md file) so an agent can load the right capability on demand." }, "aliases": [ "Skill", "Skills", "Agent Skill" ], "sources": [ { "label": { "zh-Hans": "Anthropic 文档：智能体技能概览", "en": "Anthropic docs: Agent Skills overview" }, "href": "https://docs.claude.com/en/docs/agents-and-tools/agent-skills/overview" }, { "label": { "zh-Hans": "Agent Skills 开放文档", "en": "Agent Skills documentation" }, "href": "https://agentskills.io" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "agent-steering", "url": "https://nexttoken.tv/wiki/terms/agent-steering", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/agent-steering.json", "name": { "zh-Hans": "执行中引导（Steer）", "en": "Agent steering" }, "summary": { "zh-Hans": "执行中引导是在 Agent 正在处理任务时追加要求或纠正方向，使后续行动响应新的输入。", "en": "Agent steering supplies additional instructions or corrections while an agent is working so subsequent actions can respond to new input." }, "aliases": [ "Steer", "引导模式" ], "sources": [ { "label": { "zh-Hans": "OpenAI Codex · Turn steering", "en": "OpenAI Codex · Turn steering" }, "href": "https://github.com/openai/codex/blob/main/sdk/python/docs/api-reference.md" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "agent-teams", "url": "https://nexttoken.tv/wiki/terms/agent-teams", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/agent-teams.json", "name": { "zh-Hans": "多智能体协作", "en": "Agent Teams" }, "summary": { "zh-Hans": "多个智能体通过分工、通信与协调，共同完成单个智能体难以独立完成的复杂任务的系统组织方式。", "en": "An arrangement in which multiple agents divide work, communicate and coordinate to complete complex tasks that a single agent would struggle with alone." }, "aliases": [ "Multi-Agent System", "MAS", "多智能体系统" ], "sources": [ { "label": { "zh-Hans": "维基百科：多智能体系统", "en": "Wikipedia: Multi-agent system" }, "href": "https://en.wikipedia.org/wiki/Multi-agent_system" }, { "label": { "zh-Hans": "Anthropic：多智能体研究系统", "en": "Anthropic: How we built our multi-agent research system" }, "href": "https://www.anthropic.com/engineering/multi-agent-research-system" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "agi", "url": "https://nexttoken.tv/wiki/terms/agi", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/agi.json", "name": { "zh-Hans": "通用人工智能（AGI）", "en": "Artificial General Intelligence (AGI)" }, "summary": { "zh-Hans": "通用人工智能指能在广泛认知任务上达到人类水平、并把能力迁移到陌生领域的假想 AI 系统。它是研究界追求的目标，尚无公认已实现的系统。", "en": "Artificial general intelligence is a hypothetical AI system that matches human performance across a broad range of cognitive tasks and transfers its skills to unfamiliar domains. It remains a research goal with no widely acknowledged implementation." }, "aliases": [ "AGI", "通用人工智能", "Artificial General Intelligence" ], "sources": [ { "label": { "zh-Hans": "维基百科：通用人工智能", "en": "Wikipedia: Artificial general intelligence" }, "href": "https://en.wikipedia.org/wiki/Artificial_general_intelligence" }, { "label": { "zh-Hans": "arXiv 论文《Levels of AGI》（Google DeepMind）", "en": "arXiv paper \"Levels of AGI\" (Google DeepMind)" }, "href": "https://arxiv.org/abs/2311.02462" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "aha-moment", "url": "https://nexttoken.tv/wiki/terms/aha-moment", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/aha-moment.json", "name": { "zh-Hans": "顿悟时刻（Aha Moment）", "en": "Aha Moment" }, "summary": { "zh-Hans": "Aha Moment 指突然理解某件事或切身体会到产品价值的时刻；产品讨论中常用它描述“原来它能帮我做到这个”的体验。", "en": "An aha moment is a sudden realization or experience of a product’s value: the point at which its usefulness becomes clear." }, "aliases": [ "顿悟时刻", "啊哈时刻" ], "sources": [ { "label": { "zh-Hans": "Amplitude: The Aha Moment", "en": "Amplitude: The Aha Moment" }, "href": "https://amplitude.com/blog/aha-moment" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "ai", "url": "https://nexttoken.tv/wiki/terms/ai", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ai.json", "name": { "zh-Hans": "人工智能（AI）", "en": "Artificial Intelligence (AI)" }, "summary": { "zh-Hans": "人工智能是让计算机系统执行通常需要人类智能的任务的技术总称，涵盖学习、推理、感知和语言处理等能力。它是领域级的统称，不指某一种具体算法或产品。", "en": "Artificial intelligence is an umbrella term for computer systems that perform tasks typically associated with human intelligence, such as learning, reasoning, perception, and language processing. It names a whole field of techniques, not one specific algorithm or product." }, "aliases": [ "AI", "人工智能", "Artificial Intelligence" ], "sources": [ { "label": { "zh-Hans": "维基百科：人工智能", "en": "Wikipedia: Artificial intelligence" }, "href": "https://en.wikipedia.org/wiki/Artificial_intelligence" }, { "label": { "zh-Hans": "斯坦福哲学百科全书：人工智能", "en": "Stanford Encyclopedia of Philosophy: Artificial Intelligence" }, "href": "https://plato.stanford.edu/entries/artificial-intelligence/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "ai-native", "url": "https://nexttoken.tv/wiki/terms/ai-native", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ai-native.json", "name": { "zh-Hans": "AI 原生", "en": "AI Native" }, "summary": { "zh-Hans": "形容产品、公司或工作流从架构设计之初就把 AI 作为核心能力来构建，而不是在既有系统上事后叠加 AI 功能。", "en": "Describes a product, company or workflow designed from the ground up with AI as a core capability, rather than bolting AI onto existing systems afterward." }, "aliases": [ "AI-Native", "AI 原生应用" ], "sources": [ { "label": { "zh-Hans": "IBM Think：什么是 AI 原生", "en": "IBM Think: What is AI native?" }, "href": "https://www.ibm.com/think/topics/ai-native" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "ai-slop", "url": "https://nexttoken.tv/wiki/terms/ai-slop", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ai-slop.json", "name": { "zh-Hans": "AI 垃圾内容", "en": "AI Slop" }, "summary": { "zh-Hans": "用生成式 AI 大量生产、缺乏投入与意义的低质量数字内容，通常以获利、博取流量或欺骗为目的。", "en": "Low-quality digital content mass-produced with generative AI, typically created at volume to gain traffic, earn money or deceive people." }, "aliases": [ "Slop" ], "sources": [ { "label": { "zh-Hans": "维基百科：AI slop", "en": "Wikipedia: AI slop" }, "href": "https://en.wikipedia.org/wiki/AI_slop" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "api", "url": "https://nexttoken.tv/wiki/terms/api", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/api.json", "name": { "zh-Hans": "应用程序编程接口（API）", "en": "Application Programming Interface (API)" }, "summary": { "zh-Hans": "应用程序编程接口（API）是一套约定，规定软件组件之间如何调用功能与交换数据。调用方按约定的方法、参数和返回格式使用另一段程序的能力，无需了解其内部实现。", "en": "An application programming interface (API) is a contract that specifies how software components call each other's functions and exchange data. Callers follow the documented methods, parameters and response formats without needing to know the internals behind them." }, "aliases": [ "API", "Web API", "接口", "应用程序编程接口", "Application Programming Interface" ], "sources": [ { "label": { "zh-Hans": "MDN 术语表：API", "en": "MDN Web Docs Glossary: API" }, "href": "https://developer.mozilla.org/en-US/docs/Glossary/API" }, { "label": { "zh-Hans": "RFC 9110：HTTP 语义", "en": "RFC 9110: HTTP Semantics" }, "href": "https://www.rfc-editor.org/rfc/rfc9110" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "api-key", "url": "https://nexttoken.tv/wiki/terms/api-key", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/api-key.json", "name": { "zh-Hans": "API 密钥（API Key）", "en": "API key" }, "summary": { "zh-Hans": "API 密钥是调用接口时使用的标识或凭据，可用于识别调用项目并关联配额或计费。", "en": "An API key is an identifier or credential supplied with API requests, often linking usage to a project, quota, or billing account." }, "aliases": [ "API Key", "API 密钥" ], "sources": [ { "label": { "zh-Hans": "Google Cloud · API keys", "en": "Google Cloud · API keys" }, "href": "https://docs.cloud.google.com/docs/authentication/api-keys" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "app-server", "url": "https://nexttoken.tv/wiki/terms/app-server", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/app-server.json", "name": { "zh-Hans": "应用服务器", "en": "Application Server" }, "summary": { "zh-Hans": "应用服务器是承载应用业务逻辑、向客户端提供应用层服务的软件环境，例如 Tomcat 或 Node.js 运行时，通常在 Web 服务器之后处理动态请求。", "en": "An application server is a software environment that hosts an application's business logic and serves application-level requests to clients, such as Tomcat or a Node.js runtime, typically handling dynamic requests behind a web server." }, "aliases": [ "App Server" ], "sources": [ { "label": { "zh-Hans": "MDN：服务器端网站编程入门", "en": "MDN: Getting started with server-side programming" }, "href": "https://developer.mozilla.org/en-US/docs/Learn_web_development/Extensions/Server-side/First_steps/Introduction" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "ar", "url": "https://nexttoken.tv/wiki/terms/ar", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ar.json", "name": { "zh-Hans": "增强现实（AR）", "en": "Augmented Reality (AR)" }, "summary": { "zh-Hans": "增强现实（AR）是把虚拟内容叠加到用户所见的真实环境上的技术，叠加内容实时交互并与真实场景对位。手机相机滤镜与透视眼镜是常见的 AR 载体。", "en": "Augmented Reality (AR) is a technology that overlays virtual content on the user's view of the real environment, with the overlay interactive in real time and aligned to the physical scene. Phone camera effects and see-through glasses are common AR carriers." }, "aliases": [ "AR", "增强现实", "Augmented Reality" ], "sources": [ { "label": { "zh-Hans": "维基百科：增强现实", "en": "Wikipedia: Augmented reality" }, "href": "https://en.wikipedia.org/wiki/Augmented_reality" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "arr", "url": "https://nexttoken.tv/wiki/terms/arr", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/arr.json", "name": { "zh-Hans": "年度经常性收入（ARR）", "en": "Annual Recurring Revenue (ARR)" }, "summary": { "zh-Hans": "年度经常性收入（ARR）指订阅制业务把当前活跃订阅合同的收入年化后得到的规模指标，代表收入\"按现有速度跑满一年\"的水平。它只计入可重复发生的合同收入，一次性收费通常不计入。", "en": "Annual recurring revenue (ARR) is the annualized value of the recurring revenue a subscription business currently books from active contracts — the run rate that income would reach if it stayed constant for a year. It counts only recurring contract revenue and normally excludes one-time charges." }, "aliases": [ "ARR", "年化经常性收入", "年度经常性收入", "Annual Recurring Revenue" ], "sources": [ { "label": { "zh-Hans": "Chargebee 商业词典：年度经常性收入（ARR）", "en": "Chargebee Glossary: Annual Recurring Revenue (ARR)" }, "href": "https://www.chargebee.com/resources/glossaries/annual-recurring-revenue/" }, { "label": { "zh-Hans": "Paddle：什么是年度经常性收入（ARR）及其计算方式", "en": "Paddle: What is annual recurring revenue (ARR) and how to calculate it" }, "href": "https://www.paddle.com/resources/annual-recurring-revenue" }, { "label": { "zh-Hans": "维基百科：订阅制商业模式", "en": "Wikipedia: Subscription business model" }, "href": "https://en.wikipedia.org/wiki/Subscription_business_model" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "asi", "url": "https://nexttoken.tv/wiki/terms/asi", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/asi.json", "name": { "zh-Hans": "人工超级智能（ASI）", "en": "Artificial Superintelligence (ASI)" }, "summary": { "zh-Hans": "人工超级智能指智能水平在几乎所有领域都大幅超越人类的假想 AI 系统。它只存在于理论讨论与风险预测中，没有公认的实现路径。", "en": "Artificial superintelligence is a hypothetical AI system whose intelligence greatly exceeds human intelligence in virtually every domain. It exists only in theory and forecasting discussions, with no accepted path to building it." }, "aliases": [ "ASI", "人工超级智能", "Artificial Superintelligence" ], "sources": [ { "label": { "zh-Hans": "维基百科：超级智能", "en": "Wikipedia: Superintelligence" }, "href": "https://en.wikipedia.org/wiki/Superintelligence" }, { "label": { "zh-Hans": "维基百科：通用人工智能（含 ASI 层级讨论）", "en": "Wikipedia: Artificial general intelligence (covers ASI as a level)" }, "href": "https://en.wikipedia.org/wiki/Artificial_general_intelligence" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "asr", "url": "https://nexttoken.tv/wiki/terms/asr", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/asr.json", "name": { "zh-Hans": "自动语音识别（ASR）", "en": "Automatic Speech Recognition (ASR)" }, "summary": { "zh-Hans": "自动语音识别（ASR）是把语音音频自动转写成文本的技术，也常称语音转文字（Speech-to-Text）。它是字幕生成、语音输入与会议转写等应用的核心。", "en": "Automatic speech recognition (ASR) is the technology that transcribes spoken audio into text automatically, also known as speech-to-text. It powers captioning, voice input and meeting transcription." }, "aliases": [ "ASR", "Speech-to-Text", "语音识别", "自动语音识别", "Automatic Speech Recognition" ], "sources": [ { "label": { "zh-Hans": "维基百科：Speech recognition", "en": "Wikipedia: Speech recognition" }, "href": "https://en.wikipedia.org/wiki/Speech_recognition" }, { "label": { "zh-Hans": "OpenAI Whisper（开源 ASR 模型）", "en": "OpenAI Whisper (open-source ASR model)" }, "href": "https://github.com/openai/whisper" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "b2b", "url": "https://nexttoken.tv/wiki/terms/b2b", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/b2b.json", "name": { "zh-Hans": "面向企业（B2B）", "en": "Business-to-Business (B2B)" }, "summary": { "zh-Hans": "面向企业（B2B）指企业把产品或服务卖给其他企业或组织的商业模式，客户是公司而非个人消费者，典型如企业软件、云服务与工业品。中文语境也常说\"B 端\"\"To B\"。", "en": "Business-to-business (B2B) describes companies that sell products or services to other companies or organizations rather than to individual consumers — think enterprise software, cloud services and industrial goods." }, "aliases": [ "B 端", "To B", "B2B", "面向企业", "Business-to-Business" ], "sources": [ { "label": { "zh-Hans": "维基百科：企业对企业", "en": "Wikipedia: Business-to-business" }, "href": "https://en.wikipedia.org/wiki/Business-to-business" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "b2c", "url": "https://nexttoken.tv/wiki/terms/b2c", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/b2c.json", "name": { "zh-Hans": "面向消费者（B2C）", "en": "Business-to-Consumer (B2C)" }, "summary": { "zh-Hans": "面向消费者（B2C）指企业直接把产品或服务卖给个人消费者的商业模式，典型如电商、流媒体订阅与连锁零售。中文语境也常说\"C 端\"\"To C\"。", "en": "Business-to-consumer (B2C) describes companies that sell products or services directly to individual consumers, as in e-commerce, streaming subscriptions and retail chains." }, "aliases": [ "C 端", "To C", "B2C", "面向消费者", "Business-to-Consumer" ], "sources": [ { "label": { "zh-Hans": "维基百科：企业对消费者", "en": "Wikipedia: Business-to-consumer" }, "href": "https://en.wikipedia.org/wiki/Business-to-consumer" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "benchmark", "url": "https://nexttoken.tv/wiki/terms/benchmark", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/benchmark.json", "name": { "zh-Hans": "基准测试", "en": "Benchmark" }, "summary": { "zh-Hans": "基准测试是用固定数据集和统一评分规则衡量系统表现的方法。在 AI 领域，它通常是成套的题目加自动评分标准，用来给模型能力打分并做横向比较。", "en": "A benchmark measures a system's performance using a fixed dataset and a uniform scoring rule. In AI, it is typically a set of tasks plus automatic scoring, used to grade model capability and compare models against each other." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "维基百科：基准测试（计算机）", "en": "Wikipedia: Benchmark (computing)" }, "href": "https://en.wikipedia.org/wiki/Benchmark_(computing)" }, { "label": { "zh-Hans": "MLCommons：MLPerf 推理基准", "en": "MLCommons: MLPerf Inference" }, "href": "https://mlcommons.org/benchmarks/inference/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "biometrics", "url": "https://nexttoken.tv/wiki/terms/biometrics", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/biometrics.json", "name": { "zh-Hans": "生物识别", "en": "Biometrics" }, "summary": { "zh-Hans": "生物识别利用可测量的身体特征或行为特征，识别个人或验证其声称的身份。", "en": "Biometrics uses measurable physical or behavioral characteristics to identify a person or verify a claimed identity." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "NIST · Biometrics", "en": "NIST · Biometrics" }, "href": "https://csrc.nist.gov/glossary/term/biometrics" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "bluetooth", "url": "https://nexttoken.tv/wiki/terms/bluetooth", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/bluetooth.json", "name": { "zh-Hans": "蓝牙", "en": "Bluetooth" }, "summary": { "zh-Hans": "蓝牙是一组无线连接技术，用于音频传输、设备间数据交换及其他连接场景。", "en": "Bluetooth is a family of wireless connectivity technologies used for audio, device data exchange, and other communication scenarios." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Bluetooth SIG · Technology overview", "en": "Bluetooth SIG · Technology overview" }, "href": "https://www.bluetooth.com/learn-about-bluetooth/tech-overview/" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "bom", "url": "https://nexttoken.tv/wiki/terms/bom", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/bom.json", "name": { "zh-Hans": "物料清单（BOM）", "en": "Bill of Materials (BOM)" }, "summary": { "zh-Hans": "物料清单（BOM）是制造一个产品所需的全部零件、材料及其数量的结构化列表，常以层级结构描述零件之间的装配关系，是采购、库存与生产排程的依据。", "en": "A bill of materials (BOM) is a structured list of all parts, materials and quantities required to manufacture a product, often organized hierarchically to describe how components fit together; it underpins purchasing, inventory and production planning." }, "aliases": [ "BOM", "物料清单", "Bill of Materials" ], "sources": [ { "label": { "zh-Hans": "维基百科：物料清单", "en": "Wikipedia: Bill of materials" }, "href": "https://en.wikipedia.org/wiki/Bill_of_materials" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "bpm", "url": "https://nexttoken.tv/wiki/terms/bpm", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/bpm.json", "name": { "zh-Hans": "每分钟节拍数（BPM）", "en": "Beats per Minute (BPM)" }, "summary": { "zh-Hans": "每分钟节拍数（BPM）是音乐速度的度量单位，表示每分钟包含的节拍数量，数值越高节奏越快。BPM 是描述音乐速度的通用量化指标，常出现在音乐制作与播放软件中。", "en": "Beats per minute (BPM) is a unit for measuring musical tempo—the number of beats occurring in one minute; higher values mean a faster pace. It is the standard way to quantify tempo and appears throughout music production and playback software." }, "aliases": [ "BPM", "每分钟节拍数", "Beats per Minute" ], "sources": [ { "label": { "zh-Hans": "维基百科：每分钟节拍数", "en": "Wikipedia: Beats per minute" }, "href": "https://en.wikipedia.org/wiki/Beats_per_minute" }, { "label": { "zh-Hans": "维基百科：速度（音乐）", "en": "Wikipedia: Tempo" }, "href": "https://en.wikipedia.org/wiki/Tempo" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "browser-use", "url": "https://nexttoken.tv/wiki/terms/browser-use", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/browser-use.json", "name": { "zh-Hans": "浏览器操作能力", "en": "Browser Use" }, "summary": { "zh-Hans": "Browser use 指让 AI 智能体通过浏览器完成任务的能力：读取网页、点击、填表、导航。Browser Use 也是同名开源项目的名字，它把浏览器自动化接到大模型智能体上。", "en": "Browser use is the ability of AI agents to complete tasks through a web browser: reading pages, clicking, filling forms and navigating. Browser Use is also the name of an open-source project that connects browser automation to LLM agents." }, "aliases": [ "browser automation" ], "sources": [ { "label": { "zh-Hans": "Browser Use（GitHub 开源项目）", "en": "Browser Use (GitHub project)" }, "href": "https://github.com/browser-use/browser-use" }, { "label": { "zh-Hans": "Browser Use 官方文档", "en": "Browser Use official documentation" }, "href": "https://docs.browser-use.com" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "bug", "url": "https://nexttoken.tv/wiki/terms/bug", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/bug.json", "name": { "zh-Hans": "软件缺陷", "en": "Bug" }, "summary": { "zh-Hans": "软件缺陷（bug）指程序中导致行为与预期不符、出错或崩溃的缺陷。这个词在工程语境中早有使用，1947 年哈佛 Mark II 计算机中发现飞蛾的记录使其广为流传。", "en": "A bug is a defect in a program that causes behavior to deviate from what is expected, produce errors or crash. The word was already in engineering use, but the 1947 record of a moth found in the Harvard Mark II made it widespread." }, "aliases": [ "bug", "程序错误", "缺陷" ], "sources": [ { "label": { "zh-Hans": "维基百科：软件缺陷", "en": "Wikipedia: Software bug" }, "href": "https://en.wikipedia.org/wiki/Software_bug" }, { "label": { "zh-Hans": "MITRE：常见弱点枚举（CWE）", "en": "MITRE: Common Weakness Enumeration (CWE)" }, "href": "https://cwe.mitre.org/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "cache", "url": "https://nexttoken.tv/wiki/terms/cache", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/cache.json", "name": { "zh-Hans": "缓存", "en": "Cache" }, "summary": { "zh-Hans": "缓存保存可复用的数据或计算结果，使后续请求不必重新获取或计算全部内容。", "en": "A cache stores reusable data or computed results so later requests can avoid repeating the full retrieval or computation." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "MDN · Cache", "en": "MDN · Cache" }, "href": "https://developer.mozilla.org/en-US/docs/Glossary/Cache" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "callback", "url": "https://nexttoken.tv/wiki/terms/callback", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/callback.json", "name": { "zh-Hans": "回调（Callback）", "en": "Callback" }, "summary": { "zh-Hans": "回调是把一个函数交给其他代码，由后者在适当时机调用的编程方式。它可以用于事件处理或操作完成后的处理。", "en": "A callback is a function passed to other code so that the receiving code can invoke it at an appropriate point." }, "aliases": [ "回调" ], "sources": [ { "label": { "zh-Hans": "MDN: Callback function", "en": "MDN: Callback function" }, "href": "https://developer.mozilla.org/en-US/docs/Glossary/Callback_function" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "ceo", "url": "https://nexttoken.tv/wiki/terms/ceo", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ceo.json", "name": { "zh-Hans": "首席执行官（CEO）", "en": "Chief Executive Officer (CEO)" }, "summary": { "zh-Hans": "首席执行官（CEO）是公司最高级别的经营管理者，负责制定并执行战略，由董事会任命并对其负责。C 系高管（CTO、CFO 等）通常向 CEO 汇报。", "en": "The chief executive officer (CEO) is a company's top-ranking operating manager, responsible for setting and executing strategy, appointed by and answerable to the board of directors. Other C-suite officers (CTO, CFO and so on) typically report to the CEO." }, "aliases": [ "CEO", "首席执行官", "Chief Executive Officer" ], "sources": [ { "label": { "zh-Hans": "维基百科：首席执行官", "en": "Wikipedia: Chief executive officer" }, "href": "https://en.wikipedia.org/wiki/Chief_executive_officer" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "chain-of-thought", "url": "https://nexttoken.tv/wiki/terms/chain-of-thought", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/chain-of-thought.json", "name": { "zh-Hans": "思维链（CoT）", "en": "Chain of thought (CoT)" }, "summary": { "zh-Hans": "思维链指模型生成的一系列中间推理步骤；相关提示方法用这类步骤引导模型处理多步问题。", "en": "A chain of thought is a sequence of intermediate reasoning steps generated by a model; related prompting methods use such steps for multi-step problems." }, "aliases": [ "思维链", "CoT", "Chain of Thought" ], "sources": [ { "label": { "zh-Hans": "Wei et al. · Chain-of-Thought Prompting", "en": "Wei et al. · Chain-of-Thought Prompting" }, "href": "https://arxiv.org/abs/2201.11903" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "chatbot", "url": "https://nexttoken.tv/wiki/terms/chatbot", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/chatbot.json", "name": { "zh-Hans": "聊天机器人", "en": "Chatbot" }, "summary": { "zh-Hans": "聊天机器人是通过对话界面与人交互、以文本问答为主要形式的程序，从规则脚本发展到大语言模型驱动。它通常围绕单轮或单会话对话设计，这一点也是它与智能体的常见分界。", "en": "A chatbot is a program that interacts with people through a conversational interface, mainly in the form of text Q&A, evolving from rule-based scripts to large-language-model-driven systems. It is usually built around a single turn or session of dialogue, which is also the common dividing line from agents." }, "aliases": [ "Chat Bot" ], "sources": [ { "label": { "zh-Hans": "维基百科：聊天机器人", "en": "Wikipedia: Chatbot" }, "href": "https://en.wikipedia.org/wiki/Chatbot" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "cli", "url": "https://nexttoken.tv/wiki/terms/cli", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/cli.json", "name": { "zh-Hans": "命令行界面（CLI）", "en": "Command-Line Interface (CLI)" }, "summary": { "zh-Hans": "命令行界面（CLI）是通过文本命令与程序交互的方式：用户在终端中输入命令与参数，程序执行后返回文本结果。它是脚本化与自动化操作的基础。", "en": "A command-line interface (CLI) is a way to interact with programs through text commands: the user types commands and arguments in a terminal, and the program responds with text output. It is the foundation of scripting and automation." }, "aliases": [ "CLI", "命令行", "command line", "命令行界面", "Command-Line Interface" ], "sources": [ { "label": { "zh-Hans": "POSIX 规范：Shell 命令语言", "en": "POSIX: Shell Command Language" }, "href": "https://pubs.opengroup.org/onlinepubs/9799919799/utilities/V3_chap02.html" }, { "label": { "zh-Hans": "Microsoft Learn：Windows 命令参考", "en": "Microsoft Learn: Windows Commands Reference" }, "href": "https://learn.microsoft.com/en-us/windows-server/administration/windows-commands/windows-commands" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "cloud-computing", "url": "https://nexttoken.tv/wiki/terms/cloud-computing", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/cloud-computing.json", "name": { "zh-Hans": "云计算", "en": "Cloud Computing" }, "summary": { "zh-Hans": "云计算是 NIST SP 800-145 定义的按需、自助获取可配置计算资源（网络、服务器、存储、应用与服务）的模型，资源可快速供给与释放，管理开销极小，通常按使用量计费。", "en": "Cloud computing, as defined by NIST SP 800-145, is a model for on-demand, self-service access to configurable computing resources (networks, servers, storage, applications and services) that can be rapidly provisioned and released with minimal management effort, usually billed by usage." }, "aliases": [ "Cloud", "云服务" ], "sources": [ { "label": { "zh-Hans": "NIST SP 800-145：云计算定义（正式发布页）", "en": "NIST SP 800-145: The NIST Definition of Cloud Computing (final publication)" }, "href": "https://csrc.nist.gov/pubs/sp/800/145/final" }, { "label": { "zh-Hans": "NIST SP 800-145 全文 PDF", "en": "NIST SP 800-145 full-text PDF" }, "href": "https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "coding-agent", "url": "https://nexttoken.tv/wiki/terms/coding-agent", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/coding-agent.json", "name": { "zh-Hans": "编程智能体（Coding Agent）", "en": "Coding Agent" }, "summary": { "zh-Hans": "面向软件开发任务的智能体，能够读取代码库、修改文件、执行命令和测试，并根据反馈继续完成任务。", "en": "An agent for software development that can inspect a repository, edit files, run commands and tests, and continue working from the results." }, "aliases": [ "编程智能体", "编码智能体" ], "sources": [ { "label": { "zh-Hans": "Anthropic：Claude Code 常见开发场景", "en": "Anthropic: Claude Code common developer use cases" }, "href": "https://support.claude.com/en/articles/14553517-claude-code-common-developer-use-cases" }, { "label": { "zh-Hans": "SWE-agent：面向自动化软件工程的智能体与计算机接口", "en": "SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering" }, "href": "https://arxiv.org/abs/2405.15793" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "computer-use", "url": "https://nexttoken.tv/wiki/terms/computer-use", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/computer-use.json", "name": { "zh-Hans": "计算机操作能力", "en": "Computer Use" }, "summary": { "zh-Hans": "Computer use 指让模型像人一样操作计算机图形界面的能力——看屏幕、移动光标、点击、打字，从而跨应用完成任务。Anthropic 和 OpenAI 都提供了相应的计算机操作工具或模型能力。", "en": "Computer use is the ability of a model to operate a computer's graphical interface the way a person does — reading the screen, moving the cursor, clicking and typing — to complete tasks across applications. Anthropic and OpenAI both ship computer-use tools or model capabilities." }, "aliases": [ "computer use agent", "CUA" ], "sources": [ { "label": { "zh-Hans": "Anthropic：Computer use tool 文档", "en": "Anthropic: Computer use tool documentation" }, "href": "https://docs.claude.com/en/docs/agents-and-tools/computer-use" }, { "label": { "zh-Hans": "OpenAI：Computer use 指南", "en": "OpenAI: Computer use guide" }, "href": "https://platform.openai.com/docs/guides/tools-computer-use" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "computer-vision", "url": "https://nexttoken.tv/wiki/terms/computer-vision", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/computer-vision.json", "name": { "zh-Hans": "计算机视觉（CV）", "en": "Computer Vision (CV)" }, "summary": { "zh-Hans": "计算机视觉让计算机从图像或视频中提取和解释信息，可用于识别对象、检测位置或划分图像区域。", "en": "Computer vision extracts and interprets information from images or video, supporting tasks such as recognition, detection and segmentation." }, "aliases": [ "CV", "计算机视觉", "Computer Vision" ], "sources": [ { "label": { "zh-Hans": "IBM: Computer vision", "en": "IBM: Computer vision" }, "href": "https://www.ibm.com/think/topics/computer-vision" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "concurrency", "url": "https://nexttoken.tv/wiki/terms/concurrency", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/concurrency.json", "name": { "zh-Hans": "并发", "en": "Concurrency" }, "summary": { "zh-Hans": "并发是让多个任务在重叠的时间段内推进的程序组织方式。", "en": "Concurrency organizes multiple tasks so they can make progress over overlapping periods of time." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Go · Concurrency is not parallelism", "en": "Go · Concurrency is not parallelism" }, "href": "https://go.dev/blog/waza-talk" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "connector", "url": "https://nexttoken.tv/wiki/terms/connector", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/connector.json", "name": { "zh-Hans": "连接器", "en": "Connector" }, "summary": { "zh-Hans": "把智能体或 AI 助手接入外部工具、数据源与服务的集成配置；在 Claude 中，连接器大多基于 MCP 构建，可从官方目录安装。", "en": "A configured integration that links an agent or AI assistant to external tools, data sources and services; in Claude, connectors are largely built on MCP and can be installed from the official directory." }, "aliases": [ "Integration" ], "sources": [ { "label": { "zh-Hans": "Anthropic：连接器目录", "en": "Anthropic: Connectors directory" }, "href": "https://www.anthropic.com/news/connectors-directory" }, { "label": { "zh-Hans": "Claude 平台文档：连接器", "en": "Claude platform docs: Connectors" }, "href": "https://docs.claude.com/en/docs/agents-and-tools/connectors" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "context", "url": "https://nexttoken.tv/wiki/terms/context", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/context.json", "name": { "zh-Hans": "上下文", "en": "Context" }, "summary": { "zh-Hans": "上下文是语言模型在一次处理中能看到的所有信息，包括用户输入、对话历史和附带的文档或工具结果。其容量上限以词元数计，称为上下文窗口。", "en": "Context is everything a language model can see while handling one request — the user's input, conversation history, and attached documents or tool results. Its capacity limit, measured in tokens, is called the context window." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Anthropic 文档：上下文窗口", "en": "Anthropic docs: Context windows" }, "href": "https://docs.claude.com/en/docs/build-with-claude/context-windows" }, { "label": { "zh-Hans": "维基百科：大语言模型（上下文窗口部分）", "en": "Wikipedia: Large language model (context window)" }, "href": "https://en.wikipedia.org/wiki/Large_language_model" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "cookie", "url": "https://nexttoken.tv/wiki/terms/cookie", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/cookie.json", "name": { "zh-Hans": "Cookie", "en": "Cookie" }, "summary": { "zh-Hans": "Cookie 是网站通过 Set-Cookie 响应头存放在浏览器中的少量键值数据，浏览器在后续请求中将其带回服务器，用于会话保持、个性化与状态记录，由 RFC 6265 规范定义。", "en": "A cookie is a small piece of key-value data that a website stores in the browser via the Set-Cookie response header; the browser sends it back with subsequent requests, enabling sessions, personalization and state. It is defined by RFC 6265." }, "aliases": [ "HTTP Cookie" ], "sources": [ { "label": { "zh-Hans": "MDN：HTTP Cookie", "en": "MDN Web Docs: HTTP cookies" }, "href": "https://developer.mozilla.org/en-US/docs/Web/HTTP/Cookies" }, { "label": { "zh-Hans": "IETF：RFC 6265（HTTP State Management Mechanism）", "en": "IETF: RFC 6265 (HTTP State Management Mechanism)" }, "href": "https://datatracker.ietf.org/doc/html/rfc6265" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "cpu", "url": "https://nexttoken.tv/wiki/terms/cpu", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/cpu.json", "name": { "zh-Hans": "中央处理器（CPU）", "en": "Central Processing Unit (CPU)" }, "summary": { "zh-Hans": "中央处理器（CPU）是计算机中负责执行程序指令、完成运算和系统控制的核心芯片。它通过取指、译码、执行的循环逐条处理指令，性能取决于核心数量、时钟频率与体系结构设计。", "en": "A central processing unit (CPU) is the core chip that executes program instructions and carries out the computation and control of a computer. It processes instructions through a fetch-decode-execute cycle, with performance shaped by core count, clock speed, and architecture design." }, "aliases": [ "CPU", "处理器", "processor", "中央处理器", "Central Processing Unit" ], "sources": [ { "label": { "zh-Hans": "维基百科：Central processing unit", "en": "Wikipedia: Central processing unit" }, "href": "https://en.wikipedia.org/wiki/Central_processing_unit" }, { "label": { "zh-Hans": "Arm 术语表：What is a Central Processing Unit?", "en": "Arm Glossary: What is a Central Processing Unit?" }, "href": "https://www.arm.com/glossary/cpu" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "css", "url": "https://nexttoken.tv/wiki/terms/css", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/css.json", "name": { "zh-Hans": "层叠样式表（CSS）", "en": "Cascading Style Sheets (CSS)" }, "summary": { "zh-Hans": "描述网页等文档呈现方式的样式语言，用于控制布局、颜色、字体等。", "en": "A style-sheet language describing the presentation of documents, including layout, colors and fonts." }, "aliases": [ "CSS", "层叠样式表", "Cascading Style Sheets" ], "sources": [ { "label": { "zh-Hans": "MDN：CSS", "en": "MDN: CSS" }, "href": "https://developer.mozilla.org/en-US/docs/Web/CSS" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "cto", "url": "https://nexttoken.tv/wiki/terms/cto", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/cto.json", "name": { "zh-Hans": "首席技术官（CTO）", "en": "Chief Technology Officer (CTO)" }, "summary": { "zh-Hans": "首席技术官（CTO）是公司负责技术战略与工程组织的高管，决定技术路线、带领研发团队把产品做出来，通常向 CEO 汇报。", "en": "The chief technology officer (CTO) is the executive in charge of a company's technology strategy and engineering organization, setting the technical direction and leading the R&D team that builds the product, usually reporting to the CEO." }, "aliases": [ "CTO", "首席技术官", "Chief Technology Officer" ], "sources": [ { "label": { "zh-Hans": "维基百科：首席技术官", "en": "Wikipedia: Chief technology officer" }, "href": "https://en.wikipedia.org/wiki/Chief_technology_officer" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "database", "url": "https://nexttoken.tv/wiki/terms/database", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/database.json", "name": { "zh-Hans": "数据库", "en": "Database" }, "summary": { "zh-Hans": "数据库是按一定结构组织并持久保存的数据集合，通常由数据库管理系统负责查询与更新。", "en": "A database is an organized collection of stored data, usually accessed and updated through a database management system." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Oracle · What is a database?", "en": "Oracle · What is a database?" }, "href": "https://www.oracle.com/database/what-is-database/" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "deep-research", "url": "https://nexttoken.tv/wiki/terms/deep-research", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/deep-research.json", "name": { "zh-Hans": "深度研究（Deep Research）", "en": "Deep research" }, "summary": { "zh-Hans": "在 AI 应用中，深度研究指围绕一个问题进行多步检索、阅读、分析和综合，而非只返回单次搜索结果。", "en": "In AI applications, deep research involves multiple rounds of searching, reading, analysis, and synthesis rather than a single search result." }, "aliases": [ "Deep Research", "深度研究" ], "sources": [ { "label": { "zh-Hans": "OpenAI · An example of deep research", "en": "OpenAI · An example of deep research" }, "href": "https://openai.com/index/introducing-deep-research/" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "diffusion", "url": "https://nexttoken.tv/wiki/terms/diffusion", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/diffusion.json", "name": { "zh-Hans": "扩散模型", "en": "Diffusion Model" }, "summary": { "zh-Hans": "扩散模型是一类生成模型，训练时逐步给数据加噪声，生成时从纯噪声出发一步步\"去噪\"，重建出图像、音频等新样本。它以生成质量高、训练稳定著称，代价是推理需要多步迭代。", "en": "A diffusion model is a generative model trained to reverse a gradual noising process: at generation time it starts from pure noise and denoises step by step to produce images, audio and other samples. It is known for high output quality and stable training, at the cost of multi-step inference." }, "aliases": [ "Diffusion", "去噪扩散模型" ], "sources": [ { "label": { "zh-Hans": "维基百科：Diffusion model", "en": "Wikipedia: Diffusion model" }, "href": "https://en.wikipedia.org/wiki/Diffusion_model" }, { "label": { "zh-Hans": "原始论文：Denoising Diffusion Probabilistic Models", "en": "Original paper: Denoising Diffusion Probabilistic Models" }, "href": "https://arxiv.org/abs/2006.11239" }, { "label": { "zh-Hans": "Hugging Face Diffusers 文档", "en": "Hugging Face Diffusers documentation" }, "href": "https://huggingface.co/docs/diffusers/index" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "digital-certificate", "url": "https://nexttoken.tv/wiki/terms/digital-certificate", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/digital-certificate.json", "name": { "zh-Hans": "数字证书", "en": "Digital certificate" }, "summary": { "zh-Hans": "数字证书将公钥与主体信息联系起来，通过签名及信任链支持身份验证。", "en": "A digital certificate associates a public key with information about a subject, supporting authentication through signatures and a chain of trust." }, "aliases": [ "根证书" ], "sources": [ { "label": { "zh-Hans": "IETF · RFC 5280", "en": "IETF · RFC 5280" }, "href": "https://www.rfc-editor.org/info/rfc5280/" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "diy", "url": "https://nexttoken.tv/wiki/terms/diy", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/diy.json", "name": { "zh-Hans": "DIY", "en": "Do It Yourself (DIY)" }, "summary": { "zh-Hans": "DIY（Do It Yourself，自己动手做）指不依赖专业服务商，由个人自行完成制作、修理或改装的行为，强调自主完成的过程而非结果的专业水准。", "en": "Do it yourself (DIY) refers to building, repairing or modifying things on your own instead of hiring professionals, with the emphasis on doing it yourself rather than on professional-grade results." }, "aliases": [ "自己动手做", "Do It Yourself" ], "sources": [ { "label": { "zh-Hans": "维基百科：DIY", "en": "Wikipedia: Do it yourself" }, "href": "https://en.wikipedia.org/wiki/Do_it_yourself" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "dom", "url": "https://nexttoken.tv/wiki/terms/dom", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/dom.json", "name": { "zh-Hans": "文档对象模型（DOM）", "en": "Document Object Model (DOM)" }, "summary": { "zh-Hans": "文档对象模型（DOM）是浏览器把 HTML 或 XML 文档解析成的对象树，节点对应元素、文本与属性。程序通过标准接口读写这棵树，从而动态查询和修改页面。", "en": "The Document Object Model (DOM) is the tree of objects a browser builds when parsing an HTML or XML document, with nodes representing elements, text and attributes. Programs read and write this tree through standard interfaces to inspect and change the page dynamically." }, "aliases": [ "DOM", "文档对象模型", "Document Object Model" ], "sources": [ { "label": { "zh-Hans": "WHATWG：DOM 标准", "en": "WHATWG: DOM Standard" }, "href": "https://dom.spec.whatwg.org/" }, { "label": { "zh-Hans": "MDN：DOM 概述", "en": "MDN: Introduction to the DOM" }, "href": "https://developer.mozilla.org/en-US/docs/Web/API/Document_Object_Model" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "dpi", "url": "https://nexttoken.tv/wiki/terms/dpi", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/dpi.json", "name": { "zh-Hans": "每英寸点数（DPI）", "en": "Dots per Inch (DPI)" }, "summary": { "zh-Hans": "DPI 是每英寸点数的缩写。在鼠标语境中，它通常表示移动灵敏度：相同物理移动距离下，更高设置会让指针移动得更多。", "en": "DPI stands for dots per inch. For a mouse, it commonly describes sensitivity: a higher setting produces more pointer movement for the same physical travel." }, "aliases": [ "DPI", "每英寸点数" ], "sources": [ { "label": { "zh-Hans": "Logitech: Gaming mouse guide", "en": "Logitech: Gaming mouse guide" }, "href": "https://www.logitech.com/en-gb/discover/a/gaming-mouse-guide" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "edc", "url": "https://nexttoken.tv/wiki/terms/edc", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/edc.json", "name": { "zh-Hans": "日常随身物品（EDC）", "en": "Everyday Carry (EDC)" }, "summary": { "zh-Hans": "EDC 指一个人日常经常随身携带的实用物品，也指围绕这些物品进行选择和搭配的习惯。", "en": "EDC refers to useful items a person routinely carries, and to the practice of selecting that everyday kit." }, "aliases": [ "EDC", "Everyday Carry" ], "sources": [ { "label": { "zh-Hans": "Everyday Carry: Beginner’s guide", "en": "Everyday Carry: Beginner’s guide" }, "href": "https://everydaycarry.com/what-is-edc-everyday-carry-guide/" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "embodied-ai", "url": "https://nexttoken.tv/wiki/terms/embodied-ai", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/embodied-ai.json", "name": { "zh-Hans": "具身智能", "en": "Embodied AI" }, "summary": { "zh-Hans": "具身智能（embodied AI）指通过身体与环境直接交互来感知、行动和学习的 AI 智能体，强调智能来自\"感知—决策—行动\"的闭环，而不只是脱离实体的计算。机器人是其最典型的载体。", "en": "Embodied AI refers to AI agents that perceive, act and learn through a physical body interacting directly with their environment, stressing that intelligence emerges from a perceive-decide-act loop rather than disembodied computation. Robots are its most typical carrier." }, "aliases": [ "Embodied Intelligence", "具身人工智能" ], "sources": [ { "label": { "zh-Hans": "维基百科：Embodied agent", "en": "Wikipedia: Embodied agent" }, "href": "https://en.wikipedia.org/wiki/Embodied_agent" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "engagement-rate", "url": "https://nexttoken.tv/wiki/terms/engagement-rate", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/engagement-rate.json", "name": { "zh-Hans": "互动率", "en": "Engagement Rate" }, "summary": { "zh-Hans": "互动率是衡量受众与内容互动程度的指标，通常以点赞、评论、分享等互动行为数量除以曝光量、触达人数或粉丝数计算，常以百分比表示。", "en": "Engagement rate measures how much an audience interacts with content, usually computed as the number of interactions such as likes, comments and shares divided by impressions, reach or followers, and expressed as a percentage." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Sprout Social 术语表：互动率", "en": "Sprout Social Glossary: Engagement Rate" }, "href": "https://sproutsocial.com/glossary/engagement-rate/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "environment-variable", "url": "https://nexttoken.tv/wiki/terms/environment-variable", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/environment-variable.json", "name": { "zh-Hans": "环境变量", "en": "Environment variable" }, "summary": { "zh-Hans": "环境变量是运行环境向进程提供的名称和值，常用于传入配置、路径或服务连接信息。", "en": "Environment variables are named values supplied to a process by its execution environment, commonly for configuration, paths, or service connections." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Node.js · Environment variables", "en": "Node.js · Environment variables" }, "href": "https://nodejs.org/api/environment_variables.html" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "esim", "url": "https://nexttoken.tv/wiki/terms/esim", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/esim.json", "name": { "zh-Hans": "嵌入式 SIM（eSIM）", "en": "eSIM" }, "summary": { "zh-Hans": "eSIM（嵌入式 SIM）是直接焊接到设备内部的 SIM 卡形态，运营商配置文件可以远程下载和激活，无需插拔实体卡。它由 GSMA 制定的远程 SIM 配置规范定义，已被手机、手表和物联网设备广泛采用。", "en": "eSIM (embedded SIM) is a form of SIM that is soldered directly into a device, with carrier profiles downloaded and activated remotely instead of inserting a physical card. Defined by GSMA remote SIM provisioning specifications, it has been widely adopted in phones, watches, and IoT devices." }, "aliases": [ "embedded SIM", "嵌入式SIM卡", "嵌入式 SIM" ], "sources": [ { "label": { "zh-Hans": "GSMA：What is an eSIM?", "en": "GSMA: What is an eSIM?" }, "href": "https://www.gsma.com/solutions-and-impact/technologies/esim/" }, { "label": { "zh-Hans": "Apple 支持：Using Dual SIM with an eSIM", "en": "Apple Support: Using Dual SIM with an eSIM" }, "href": "https://support.apple.com/en-us/109317" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "evaluation", "url": "https://nexttoken.tv/wiki/terms/evaluation", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/evaluation.json", "name": { "zh-Hans": "评估", "en": "Evaluation" }, "summary": { "zh-Hans": "在 AI 语境下，评估（evaluation，常简称 eval）指用测试数据、指标或人工与自动化评判来衡量模型输出质量与任务表现的过程。它是模型选型、版本对比与回归测试的基础。", "en": "In AI, evaluation (often shortened to eval) is the process of measuring model output quality and task performance using test data, metrics, and human or automated judging. It underpins model selection, version comparison and regression testing." }, "aliases": [ "eval", "evals", "LLM evaluation" ], "sources": [ { "label": { "zh-Hans": "OpenAI：Evals 指南", "en": "OpenAI: Evals guide" }, "href": "https://platform.openai.com/docs/guides/evals" }, { "label": { "zh-Hans": "Hugging Face Evaluate 文档", "en": "Hugging Face Evaluate documentation" }, "href": "https://huggingface.co/docs/evaluate/index" }, { "label": { "zh-Hans": "OpenAI Evals（开源评估框架）", "en": "OpenAI Evals (open-source evaluation framework)" }, "href": "https://github.com/openai/evals" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "faang", "url": "https://nexttoken.tv/wiki/terms/faang", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/faang.json", "name": { "zh-Hans": "FAANG", "en": "FAANG" }, "summary": { "zh-Hans": "FAANG 是由 Facebook、Amazon、Apple、Netflix 和 Google 的名称首字母组成的科技公司合称。", "en": "FAANG groups Facebook, Amazon, Apple, Netflix, and Google using their initial letters." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "CFI · FAANG", "en": "CFI · FAANG" }, "href": "https://corporatefinanceinstitute.com/resources/equities/faang-stocks/" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "firmware", "url": "https://nexttoken.tv/wiki/terms/firmware", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/firmware.json", "name": { "zh-Hans": "固件", "en": "Firmware" }, "summary": { "zh-Hans": "固件是存储在设备非易失性存储器中的程序与数据，用于实现设备的基础功能。", "en": "Firmware is program code and data held in a device’s nonvolatile storage to implement basic device functions." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "NIST · Firmware", "en": "NIST · Firmware" }, "href": "https://csrc.nist.gov/glossary/term/firmware" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "fork", "url": "https://nexttoken.tv/wiki/terms/fork", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/fork.json", "name": { "zh-Hans": "分叉", "en": "Fork" }, "summary": { "zh-Hans": "在软件开发中，分叉指在既有项目或代码仓库基础上复制出一份独立副本，以便自由修改、独立演进。在 GitHub 等托管平台上，fork 是对他人仓库的个人副本，改动可通过 pull request 贡献回原项目。", "en": "In software development, a fork is an independent copy of an existing project or repository that can be modified and evolved on its own. On platforms like GitHub, a fork is a personal copy of someone else's repository, and changes can be contributed back through pull requests." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "GitHub 文档：关于 Fork", "en": "GitHub Docs: About forks" }, "href": "https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/about-forks" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "forward-deployed-engineer", "url": "https://nexttoken.tv/wiki/terms/forward-deployed-engineer", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/forward-deployed-engineer.json", "name": { "zh-Hans": "前线部署工程师（FDE）", "en": "Forward Deployed Engineer (FDE)" }, "summary": { "zh-Hans": "深入客户业务现场，将软件能力与实际需求结合并交付解决方案的工程角色。", "en": "An engineering role that works closely with customers to adapt software to practical business needs." }, "aliases": [ "FDE", "Forward Deployed Engineer" ], "sources": [ { "label": { "zh-Hans": "定义与相关资料", "en": "Definition and context" }, "href": "https://www.palantir.com/careers/students-and-early-talent" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "frame-generation", "url": "https://nexttoken.tv/wiki/terms/frame-generation", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/frame-generation.json", "name": { "zh-Hans": "帧生成", "en": "Frame generation" }, "summary": { "zh-Hans": "帧生成通过计算或模型合成额外画面，以提高显示的帧率和运动流畅度。", "en": "Frame generation synthesizes additional images to increase displayed frame rate and perceived motion smoothness." }, "aliases": [ "Frame Generation" ], "sources": [ { "label": { "zh-Hans": "NVIDIA · DLSS technologies", "en": "NVIDIA · DLSS technologies" }, "href": "https://developer.nvidia.com/rtx/dlss" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "frame-rate", "url": "https://nexttoken.tv/wiki/terms/frame-rate", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/frame-rate.json", "name": { "zh-Hans": "帧率（FPS）", "en": "Frame rate (FPS)" }, "summary": { "zh-Hans": "帧率是视频或动画每秒显示或处理的帧数，常用 FPS 表示。", "en": "Frame rate is the number of video or animation frames displayed or processed per second, commonly expressed as FPS." }, "aliases": [ "帧率", "FPS" ], "sources": [ { "label": { "zh-Hans": "Adobe · Frames per second", "en": "Adobe · Frames per second" }, "href": "https://experienceleague.adobe.com/en/docs/media-analytics/using/implementation/variables/quality/frames-per-second" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "galgame", "url": "https://nexttoken.tv/wiki/terms/galgame", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/galgame.json", "name": { "zh-Hans": "美少女游戏（Galgame）", "en": "Galgame" }, "summary": { "zh-Hans": "Galgame 通常指以与美少女角色互动为核心的游戏，常见形式包括对话、角色关系与分支叙事。", "en": "Galgame commonly refers to games centered on interactions with female characters, often using dialogue, relationships and branching stories." }, "aliases": [ "美少女游戏", "Bishōjo game", "Gal Game" ], "sources": [ { "label": { "zh-Hans": "Wikipedia: Bishōjo game", "en": "Wikipedia: Bishōjo game" }, "href": "https://en.wikipedia.org/wiki/Bish%C5%8Djo_game" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "game-budget-tiers", "url": "https://nexttoken.tv/wiki/terms/game-budget-tiers", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/game-budget-tiers.json", "name": { "zh-Hans": "游戏制作规模（3A／2A）", "en": "Game production tiers (AAA / AA)" }, "summary": { "zh-Hans": "3A（AAA）和 2A（AA）是游戏行业描述制作投入、团队规模与内容体量的非正式说法。", "en": "AAA and AA are informal game-industry labels for production investment, team scale, and content scope." }, "aliases": [ "3A", "2A", "AAA", "AA" ], "sources": [ { "label": { "zh-Hans": "MP1st · Interview with Remedy on AA and AAA", "en": "MP1st · Interview with Remedy on AA and AAA" }, "href": "https://mp1st.com/news/remedy-explains-difference-of-aa-to-aaa-games-to-the-studio" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "gdp", "url": "https://nexttoken.tv/wiki/terms/gdp", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/gdp.json", "name": { "zh-Hans": "国内生产总值（GDP）", "en": "Gross Domestic Product (GDP)" }, "summary": { "zh-Hans": "国内生产总值（GDP）衡量一个经济体在一定时期（通常为一季或一年）内生产的全部最终产品与服务的市场价值，是最常用的宏观经济总量指标，常用来比较各国经济体量与增速。", "en": "Gross domestic product (GDP) measures the market value of all final goods and services produced by an economy in a given period, usually a quarter or a year. It is the most widely used aggregate gauge of macroeconomic size and growth." }, "aliases": [ "GDP", "国内生产总值", "Gross Domestic Product" ], "sources": [ { "label": { "zh-Hans": "维基百科：国内生产总值", "en": "Wikipedia: Gross domestic product" }, "href": "https://en.wikipedia.org/wiki/Gross_domestic_product" }, { "label": { "zh-Hans": "美国经济分析局（BEA）：国内生产总值", "en": "U.S. Bureau of Economic Analysis (BEA): Gross Domestic Product" }, "href": "https://www.bea.gov/data/gdp/gross-domestic-product" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "geo", "url": "https://nexttoken.tv/wiki/terms/geo", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/geo.json", "name": { "zh-Hans": "生成式引擎优化（GEO）", "en": "Generative Engine Optimization (GEO)" }, "summary": { "zh-Hans": "生成式引擎优化（GEO）指调整与组织内容，使其更容易被生成式引擎检索、引用并呈现在 AI 生成的回答中的新兴实践。该概念因 2023 年 11 月发表的研究论文 GEO: Generative Engine Optimization 而广为传播。", "en": "Generative engine optimization (GEO) is an emerging practice of organizing and adjusting content so that generative engines are more likely to retrieve, cite and surface it in AI-generated answers. The concept spread from the research paper GEO: Generative Engine Optimization, published in November 2023." }, "aliases": [ "GEO", "生成式引擎优化", "Generative Engine Optimization" ], "sources": [ { "label": { "zh-Hans": "arXiv 论文 GEO: Generative Engine Optimization（2023 年 11 月）", "en": "arXiv: GEO: Generative Engine Optimization (November 2023)" }, "href": "https://arxiv.org/abs/2311.09735" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "gif", "url": "https://nexttoken.tv/wiki/terms/gif", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/gif.json", "name": { "zh-Hans": "GIF", "en": "GIF" }, "summary": { "zh-Hans": "GIF（Graphics Interchange Format）是一种位图图像格式，由 CompuServe 于 1987 年发布，使用 LZW 无损压缩，每帧最多 256 色，并支持逐帧动画。当前通行的版本由 1989 年的 GIF89a 规范定义。", "en": "GIF (Graphics Interchange Format) is a bitmap image format released by CompuServe in 1987, using lossless LZW compression, at most 256 colors per frame, with support for frame-by-frame animation. The version in common use is defined by the 1989 GIF89a specification." }, "aliases": [ "Graphics Interchange Format" ], "sources": [ { "label": { "zh-Hans": "W3C 托管：GIF89a 图形交换格式规范", "en": "GIF89a Graphics Interchange Format specification (hosted by W3C)" }, "href": "https://www.w3.org/Graphics/GIF/spec-gif89a.txt" }, { "label": { "zh-Hans": "维基百科：GIF", "en": "Wikipedia: GIF" }, "href": "https://en.wikipedia.org/wiki/GIF" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "gpl", "url": "https://nexttoken.tv/wiki/terms/gpl", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/gpl.json", "name": { "zh-Hans": "GNU 通用公共许可证（GPL）", "en": "GNU General Public License (GPL)" }, "summary": { "zh-Hans": "GPL 是自由软件基金会发布的 Copyleft 许可证，允许任何人自由使用、修改和再发布软件，但要求分发衍生作品时以相同许可证授权并提供源代码。常见版本为 GPLv2 与 GPLv3。", "en": "The GPL is a copyleft license published by the Free Software Foundation: anyone may use, modify and redistribute the software, but derivative works must be distributed under the same license with source code available. Common versions are GPLv2 and GPLv3." }, "aliases": [ "GPL", "GPLv2", "GPLv3", "GNU 通用公共许可证", "GNU General Public License" ], "sources": [ { "label": { "zh-Hans": "GNU 官方：GPL 许可证全文", "en": "GNU Project: GPL license text" }, "href": "https://www.gnu.org/licenses/gpl-3.0.en.html" }, { "label": { "zh-Hans": "GNU 官方：许可证列表", "en": "GNU Project: Licenses list" }, "href": "https://www.gnu.org/licenses/licenses.en.html" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "gpu", "url": "https://nexttoken.tv/wiki/terms/gpu", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/gpu.json", "name": { "zh-Hans": "图形处理器（GPU）", "en": "Graphics Processing Unit (GPU)" }, "summary": { "zh-Hans": "图形处理器（GPU）是一种以大规模并行计算为设计目标的处理器，最初用于加速图形渲染，如今也广泛用于 AI 训练与推理等通用并行计算。它由数千个轻量计算核心组成，擅长同时处理大量相似的算术任务。", "en": "A graphics processing unit (GPU) is a processor designed for massively parallel computation, originally built to accelerate graphics rendering and now widely used for general-purpose parallel workloads such as AI training and inference. It combines thousands of lightweight cores that excel at running many similar arithmetic tasks at once." }, "aliases": [ "GPU", "显卡", "graphics card", "图形处理器", "Graphics Processing Unit" ], "sources": [ { "label": { "zh-Hans": "维基百科：Graphics processing unit", "en": "Wikipedia: Graphics processing unit" }, "href": "https://en.wikipedia.org/wiki/Graphics_processing_unit" }, { "label": { "zh-Hans": "IBM：What is a GPU?", "en": "IBM: What is a GPU?" }, "href": "https://www.ibm.com/think/topics/gpu" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "gui", "url": "https://nexttoken.tv/wiki/terms/gui", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/gui.json", "name": { "zh-Hans": "图形用户界面（GUI）", "en": "Graphical User Interface (GUI)" }, "summary": { "zh-Hans": "图形用户界面（GUI）是让用户通过窗口、图标、菜单和指针等可视元素操作计算机的界面，取代了需要记忆命令的纯文本命令行。它以\"看与点\"的方式降低了计算机的使用门槛。", "en": "A graphical user interface (GUI) lets people operate a computer through visual elements such as windows, icons, menus and a pointer, replacing text-only command lines that had to be memorized." }, "aliases": [ "GUI", "图形界面", "图形用户界面", "Graphical User Interface" ], "sources": [ { "label": { "zh-Hans": "大英百科：图形用户界面", "en": "Encyclopaedia Britannica: Graphical user interface" }, "href": "https://www.britannica.com/technology/graphical-user-interface" }, { "label": { "zh-Hans": "维基百科：图形用户界面", "en": "Wikipedia: Graphical user interface" }, "href": "https://en.wikipedia.org/wiki/Graphical_user_interface" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "harness", "url": "https://nexttoken.tv/wiki/terms/harness", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/harness.json", "name": { "zh-Hans": "智能体运行框架", "en": "Agent Harness" }, "summary": { "zh-Hans": "包围模型的运行框架层，负责工具接入、上下文管理、循环控制与结果核验等能力，把模型变成能实际执行任务的智能体。", "en": "The runtime layer around a model that provides tool access, context management, loop control and result verification, turning the model into an agent that can actually execute tasks." }, "aliases": [ "Harness" ], "sources": [ { "label": { "zh-Hans": "Anthropic：用 Claude Agent SDK 构建智能体", "en": "Anthropic: Building agents with the Claude Agent SDK" }, "href": "https://www.anthropic.com/engineering/building-agents-with-the-claude-agent-sdk" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "hdmi", "url": "https://nexttoken.tv/wiki/terms/hdmi", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/hdmi.json", "name": { "zh-Hans": "高清多媒体接口（HDMI）", "en": "High-Definition Multimedia Interface (HDMI)" }, "summary": { "zh-Hans": "HDMI 是在设备间传输数字视频与音频的接口，常见于电脑、电视、显示器及影音设备。", "en": "HDMI is an interface for carrying digital video and audio between devices such as computers, televisions and displays." }, "aliases": [ "HDMI", "高清多媒体接口" ], "sources": [ { "label": { "zh-Hans": "HDMI: Specifications and programs", "en": "HDMI: Specifications and programs" }, "href": "https://www.hdmi.org/spec/index" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "hook", "url": "https://nexttoken.tv/wiki/terms/hook", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/hook.json", "name": { "zh-Hans": "钩子", "en": "Hook" }, "summary": { "zh-Hans": "钩子（hook）是软件在事件或生命周期特定阶段预留的扩展点，允许外部代码在不修改主体程序的情况下插入自定义逻辑。Git、前端框架与 AI Agent 工具链中都大量使用这一机制。", "en": "A hook is an extension point a program reserves at specific events or lifecycle stages, letting external code inject custom logic without modifying the main program. The mechanism is widely used in Git, front-end frameworks and AI agent toolchains." }, "aliases": [ "钩子函数" ], "sources": [ { "label": { "zh-Hans": "维基百科：钩子编程", "en": "Wikipedia: Hooking" }, "href": "https://en.wikipedia.org/wiki/Hooking" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "hr", "url": "https://nexttoken.tv/wiki/terms/hr", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/hr.json", "name": { "zh-Hans": "人力资源（HR）", "en": "Human Resources (HR)" }, "summary": { "zh-Hans": "人力资源（HR）指组织中负责招聘、培训、薪酬绩效与员工关系的职能，也常用来指代这一职能部门及其从业者。其工作覆盖员工在组织内的全生命周期。", "en": "Human resources (HR) is the organizational function responsible for hiring, training, compensation, performance and employee relations; the term also refers to the department and the people who work in it. Its remit spans the whole life cycle of employees in the organization." }, "aliases": [ "HR", "人力资源", "Human Resources" ], "sources": [ { "label": { "zh-Hans": "维基百科：人力资源", "en": "Wikipedia: Human resources" }, "href": "https://en.wikipedia.org/wiki/Human_resources" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "html", "url": "https://nexttoken.tv/wiki/terms/html", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/html.json", "name": { "zh-Hans": "超文本标记语言（HTML）", "en": "HyperText Markup Language (HTML)" }, "summary": { "zh-Hans": "超文本标记语言（HTML）是定义网页结构与内容的标记语言，用元素和属性描述标题、段落、链接、图片等，由 WHATWG 维护为 HTML Living Standard。所有网页都以 HTML 为基础。", "en": "HyperText Markup Language (HTML) is the markup language that defines the structure and content of web pages, using elements and attributes to describe headings, paragraphs, links, images and more. It is maintained by WHATWG as the HTML Living Standard and underpins every web page." }, "aliases": [ "HTML", "超文本标记语言", "HyperText Markup Language" ], "sources": [ { "label": { "zh-Hans": "WHATWG：HTML Living Standard", "en": "WHATWG: HTML Living Standard" }, "href": "https://html.spec.whatwg.org/" }, { "label": { "zh-Hans": "MDN：HTML 基础", "en": "MDN: HTML basics" }, "href": "https://developer.mozilla.org/en-US/docs/Learn/Getting_started_with_the_web/HTML_basics" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "human-in-the-loop", "url": "https://nexttoken.tv/wiki/terms/human-in-the-loop", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/human-in-the-loop.json", "name": { "zh-Hans": "人在回路（HITL）", "en": "Human in the Loop (HITL)" }, "summary": { "zh-Hans": "人在回路（HITL）指在自动化或 AI 工作流中保留人工参与的机制：机器执行任务，人在关键节点进行审核、决策或纠错。它把人的判断嵌入自动化流程，而不是让人替代机器完成全部工作。", "en": "Human in the Loop (HITL) is a mechanism that keeps a person involved in an automated or AI workflow: the machine executes tasks while a human reviews, decides or corrects at key checkpoints. Human judgment is embedded in the automated process rather than replacing it." }, "aliases": [ "HITL", "人机协同", "人在回路", "Human in the Loop" ], "sources": [ { "label": { "zh-Hans": "维基百科：人在回路", "en": "Wikipedia: Human-in-the-loop" }, "href": "https://en.wikipedia.org/wiki/Human-in-the-loop" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "idc", "url": "https://nexttoken.tv/wiki/terms/idc", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/idc.json", "name": { "zh-Hans": "互联网数据中心（IDC）", "en": "Internet Data Center (IDC)" }, "summary": { "zh-Hans": "IDC 指集中放置服务器、存储与网络设备，并提供电力、制冷、带宽与运维保障的设施，是互联网服务和云计算的物理承载基础。", "en": "An IDC (Internet Data Center) is a facility that centrally houses servers, storage and network equipment with reliable power, cooling, bandwidth and operations support; it is the physical foundation of internet services and cloud computing." }, "aliases": [ "IDC", "数据中心", "互联网数据中心", "Internet Data Center" ], "sources": [ { "label": { "zh-Hans": "IBM：什么是数据中心", "en": "IBM: What is a data center" }, "href": "https://www.ibm.com/think/topics/data-center" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "ide", "url": "https://nexttoken.tv/wiki/terms/ide", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ide.json", "name": { "zh-Hans": "集成开发环境（IDE）", "en": "Integrated Development Environment (IDE)" }, "summary": { "zh-Hans": "集成开发环境（IDE）把代码编辑、构建、调试和运行等开发流程集成在同一图形界面中的软件。常见例子包括 Xcode、Android Studio 与 Visual Studio Code。", "en": "An integrated development environment (IDE) is software that brings code editing, building, debugging and running together in one graphical application. Well-known examples include Xcode, Android Studio and Visual Studio Code." }, "aliases": [ "IDE", "开发环境", "集成开发环境", "Integrated Development Environment" ], "sources": [ { "label": { "zh-Hans": "Visual Studio Code 文档", "en": "Visual Studio Code Docs" }, "href": "https://code.visualstudio.com/docs" }, { "label": { "zh-Hans": "Apple 开发者：Xcode", "en": "Apple Developer: Xcode" }, "href": "https://developer.apple.com/xcode/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "infrastructure", "url": "https://nexttoken.tv/wiki/terms/infrastructure", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/infrastructure.json", "name": { "zh-Hans": "基础设施", "en": "Infrastructure" }, "summary": { "zh-Hans": "基础设施指支撑上层应用与业务运行的底层软硬件与服务的总和，包括计算、存储、网络、机房设施及相关运维体系，口语和技术语境中常简称为 infra。", "en": "Infrastructure is the combined foundation of hardware, software and services that supports applications and business operations, including compute, storage, networking, facilities and the surrounding operational practices. It is often shortened to infra." }, "aliases": [ "Infra", "IT 基础设施" ], "sources": [ { "label": { "zh-Hans": "IBM：什么是 IT 基础设施", "en": "IBM: What is IT infrastructure" }, "href": "https://www.ibm.com/think/topics/it-infrastructure" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "internet", "url": "https://nexttoken.tv/wiki/terms/internet", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/internet.json", "name": { "zh-Hans": "互联网", "en": "Internet" }, "summary": { "zh-Hans": "互联网是全球性的计算机网络系统，通过 TCP/IP 协议族把不同的网络互连在一起，承载万维网、电子邮件等众多服务。中国大陆标准译名为\"互联网\"。", "en": "The internet is a global system of interconnected computer networks that communicate using the TCP/IP protocol suite, carrying services such as the web and email." }, "aliases": [ "因特网" ], "sources": [ { "label": { "zh-Hans": "互联网协会：What is the internet?", "en": "Internet Society: What is the internet?" }, "href": "https://www.internetsociety.org/internet/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "ipo", "url": "https://nexttoken.tv/wiki/terms/ipo", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ipo.json", "name": { "zh-Hans": "首次公开募股（IPO）", "en": "Initial Public Offering (IPO)" }, "summary": { "zh-Hans": "IPO 通常指公司首次向公众出售股票，是公司融资与进入公开资本市场的一种方式。", "en": "An IPO generally refers to a company’s first sale of shares to the public." }, "aliases": [ "IPO", "首次公开募股" ], "sources": [ { "label": { "zh-Hans": "Investor.gov: Initial public offering", "en": "Investor.gov: Initial public offering" }, "href": "https://www.investor.gov/introduction-investing/investing-basics/glossary/initial-public-offering-ipo" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "jevons-paradox", "url": "https://nexttoken.tv/wiki/terms/jevons-paradox", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/jevons-paradox.json", "name": { "zh-Hans": "杰文斯悖论", "en": "Jevons Paradox" }, "summary": { "zh-Hans": "杰文斯悖论是经济学中的观察：当技术进步提高资源使用效率、降低单位成本时，该资源的总消耗量往往不降反升。威廉·斯坦利·杰文斯在 1865 年以蒸汽机效率提高反而带动煤耗增长为例提出；如今常被用来分析 AI 算力与模型成本下降后的需求扩张。", "en": "The Jevons paradox is an observation in economics: when technological progress makes a resource more efficient and cheaper per unit, total consumption of that resource often rises rather than falls. William Stanley Jevons raised it in 1865 with the example of more efficient steam engines increasing coal use; today it is often applied to AI compute and to demand expanding as model costs fall." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "维基百科：杰文斯悖论", "en": "Wikipedia: Jevons paradox" }, "href": "https://en.wikipedia.org/wiki/Jevons_paradox" }, { "label": { "zh-Hans": "Next Token Weekly 第 001 期逐字稿", "en": "Next Token Weekly" }, "href": "https://nexttoken.tv/weekly/001/transcript" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "json", "url": "https://nexttoken.tv/wiki/terms/json", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/json.json", "name": { "zh-Hans": "JSON", "en": "JSON" }, "summary": { "zh-Hans": "JSON（JavaScript Object Notation）是一种基于文本的数据交换格式，用对象、数组、字符串、数字、布尔值和 null 表示结构化数据，由 RFC 8259 定义。它是 Web API 与配置文件中最常用的数据格式之一。", "en": "JSON (JavaScript Object Notation) is a text-based data interchange format defined by RFC 8259, expressing structured data with objects, arrays, strings, numbers, booleans and null. It is one of the most common formats for web APIs and configuration files." }, "aliases": [ "JavaScript Object Notation" ], "sources": [ { "label": { "zh-Hans": "RFC 8259：JSON 数据交换格式", "en": "RFC 8259: The JavaScript Object Notation (JSON) Data Interchange Format" }, "href": "https://www.rfc-editor.org/rfc/rfc8259" }, { "label": { "zh-Hans": "json.org 官方站点", "en": "json.org (official site)" }, "href": "https://www.json.org/json-en.html" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "kol", "url": "https://nexttoken.tv/wiki/terms/kol", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/kol.json", "name": { "zh-Hans": "关键意见领袖（KOL）", "en": "Key Opinion Leader (KOL)" }, "summary": { "zh-Hans": "关键意见领袖（KOL）指在特定领域拥有专业知识或影响力、其观点能显著影响目标受众态度与决策的人物。该词多用于营销语境，涵盖行业专家、学者与创作者等角色。", "en": "A key opinion leader (KOL) is a person with recognized expertise in a specific field whose views materially influence the attitudes and decisions of a target audience. The term is common in marketing and covers experts, academics and creators." }, "aliases": [ "KOL", "关键意见领袖", "Key Opinion Leader" ], "sources": [ { "label": { "zh-Hans": "维基百科：网红营销", "en": "Wikipedia: Influencer marketing" }, "href": "https://en.wikipedia.org/wiki/Influencer_marketing" }, { "label": { "zh-Hans": "维基百科：意见领袖", "en": "Wikipedia: Opinion leader" }, "href": "https://en.wikipedia.org/wiki/Opinion_leader" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "kpi", "url": "https://nexttoken.tv/wiki/terms/kpi", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/kpi.json", "name": { "zh-Hans": "关键绩效指标（KPI）", "en": "Key Performance Indicator (KPI)" }, "summary": { "zh-Hans": "关键绩效指标（KPI）指组织为衡量某项目标达成程度而选定的可量化核心指标，如月度活跃用户、客户流失率、毛利率。好的 KPI 与战略目标直接挂钩，数量通常很少。", "en": "A key performance indicator (KPI) is a quantifiable measure an organization selects to gauge progress toward an important objective, such as monthly active users, customer churn rate or gross margin. Good KPIs tie directly to strategy and are few in number." }, "aliases": [ "KPI", "关键绩效指标", "Key Performance Indicator" ], "sources": [ { "label": { "zh-Hans": "KPI.org：KPI 基础", "en": "KPI.org: KPI Basics" }, "href": "https://kpi.org/KPI-Basics" }, { "label": { "zh-Hans": "维基百科：绩效指标", "en": "Wikipedia: Performance indicator" }, "href": "https://en.wikipedia.org/wiki/Performance_indicator" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "kv-cache", "url": "https://nexttoken.tv/wiki/terms/kv-cache", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/kv-cache.json", "name": { "zh-Hans": "键值缓存（KV Cache）", "en": "KV Cache" }, "summary": { "zh-Hans": "键值缓存（KV Cache）是 Transformer 推理时缓存注意力层键值向量的技术，使生成每个新词元时不必重复计算先前词元的注意力中间结果。它是提升生成速度的关键优化。", "en": "The KV cache stores the key and value vectors of attention layers during transformer inference, so generating each new token does not require recomputing attention over earlier tokens. It is a key optimization for generation speed." }, "aliases": [ "键值缓存" ], "sources": [ { "label": { "zh-Hans": "Hugging Face Transformers 文档：缓存策略", "en": "Hugging Face Transformers docs: Cache strategies" }, "href": "https://huggingface.co/docs/transformers/en/kv_cache" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "kyc", "url": "https://nexttoken.tv/wiki/terms/kyc", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/kyc.json", "name": { "zh-Hans": "了解你的客户（KYC）", "en": "Know Your Customer (KYC)" }, "summary": { "zh-Hans": "KYC 指机构了解和核实客户身份及相关背景的流程，常见于金融服务的客户尽职调查。", "en": "KYC refers to processes for understanding and verifying a customer’s identity and background, commonly within financial customer due diligence." }, "aliases": [ "KYC", "客户身份核验" ], "sources": [ { "label": { "zh-Hans": "Swift: Risk and compliance", "en": "Swift: Risk and compliance" }, "href": "https://www.swift.com/risk-and-compliance" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "lan", "url": "https://nexttoken.tv/wiki/terms/lan", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/lan.json", "name": { "zh-Hans": "局域网（LAN）", "en": "Local area network (LAN)" }, "summary": { "zh-Hans": "局域网连接同一有限区域内的设备，例如家庭、办公室或一栋建筑中的设备。", "en": "A local area network connects devices within a limited area, such as a home, office, or building." }, "aliases": [ "局域网", "LAN" ], "sources": [ { "label": { "zh-Hans": "Cisco · Local area networks", "en": "Cisco · Local area networks" }, "href": "https://www.cisco.com/site/us/en/learn/topics/networking/what-is-a-lan-local-area-network.html" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "linux-distribution", "url": "https://nexttoken.tv/wiki/terms/linux-distribution", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/linux-distribution.json", "name": { "zh-Hans": "Linux 发行版", "en": "Linux distribution" }, "summary": { "zh-Hans": "Linux 发行版是围绕 Linux 内核组合用户程序、系统工具和软件管理机制形成的可安装系统。", "en": "A Linux distribution combines the Linux kernel with user programs, system tools, and software management into an installable operating system." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Red Hat · Linux distributions", "en": "Red Hat · Linux distributions" }, "href": "https://www.redhat.com/en/topics/linux/whats-the-best-linux-distro-for-you" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "llc", "url": "https://nexttoken.tv/wiki/terms/llc", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/llc.json", "name": { "zh-Hans": "有限责任公司（LLC）", "en": "Limited Liability Company (LLC)" }, "summary": { "zh-Hans": "有限责任公司（LLC）是一种企业法律结构：成员对公司债务的责任以出资为限，个人资产通常不受牵连，同时在税务处理与内部管理上保留较大弹性。这一形式主要见于美国及采用类似制度的法域。", "en": "A limited liability company (LLC) is a business structure, mainly used in the United States, that keeps member liability limited to their investment while leaving room for flexible taxation and internal management." }, "aliases": [ "LLC", "有限责任公司", "Limited Liability Company" ], "sources": [ { "label": { "zh-Hans": "美国国税局：有限责任公司（LLC）", "en": "IRS: Limited Liability Company (LLC)" }, "href": "https://www.irs.gov/businesses/small-businesses-self-employed/limited-liability-company-llc" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "llm", "url": "https://nexttoken.tv/wiki/terms/llm", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/llm.json", "name": { "zh-Hans": "大语言模型（LLM）", "en": "Large Language Model (LLM)" }, "summary": { "zh-Hans": "大语言模型是在海量文本上训练、以词元为单位预测文本序列的深度神经网络模型。它能完成生成、问答、翻译和代码等广泛的语言任务。", "en": "A large language model is a deep neural network trained on massive amounts of text to predict sequences of tokens. It handles a broad range of language tasks, from generation and question answering to translation and coding." }, "aliases": [ "LLM", "大语言模型", "Large Language Model" ], "sources": [ { "label": { "zh-Hans": "维基百科：大语言模型", "en": "Wikipedia: Large language model" }, "href": "https://en.wikipedia.org/wiki/Large_language_model" }, { "label": { "zh-Hans": "arXiv 论文《Language Models are Few-Shot Learners》（GPT-3）", "en": "arXiv paper \"Language Models are Few-Shot Learners\" (GPT-3)" }, "href": "https://arxiv.org/abs/2005.14165" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "llms-txt", "url": "https://nexttoken.tv/wiki/terms/llms-txt", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/llms-txt.json", "name": { "zh-Hans": "llms.txt", "en": "llms.txt" }, "summary": { "zh-Hans": "llms.txt 是为网站提供面向语言模型与 Agent 的简明信息入口的文件约定提案。", "en": "llms.txt is a proposed file convention for giving language models and agents a concise information entry point to a website." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "llms.txt · Proposal", "en": "llms.txt · Proposal" }, "href": "https://llmstxt.org/" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "lora", "url": "https://nexttoken.tv/wiki/terms/lora", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/lora.json", "name": { "zh-Hans": "低秩适应（LoRA）", "en": "Low-Rank Adaptation (LoRA)" }, "summary": { "zh-Hans": "LoRA（Low-Rank Adaptation）是一种参数高效微调方法：冻结原模型权重，只训练注入到部分层旁路中的低秩矩阵，用很小的可训练参数量把模型适配到特定任务或风格。训练产物体积小，便于分发和合并。", "en": "LoRA (Low-Rank Adaptation) is a parameter-efficient fine-tuning method: the model's original weights stay frozen, and only small low-rank matrices injected alongside selected layers are trained, adapting the model to a task or style with a fraction of the trainable parameters. The resulting artifacts are small and easy to distribute and merge." }, "aliases": [ "LoRA", "低秩适应", "Low-Rank Adaptation" ], "sources": [ { "label": { "zh-Hans": "原始论文：LoRA — Low-Rank Adaptation of Large Language Models", "en": "Original paper: LoRA — Low-Rank Adaptation of Large Language Models" }, "href": "https://arxiv.org/abs/2106.09685" }, { "label": { "zh-Hans": "Hugging Face PEFT：LoRA 概念指南", "en": "Hugging Face PEFT: LoRA conceptual guide" }, "href": "https://huggingface.co/docs/peft/conceptual_guides/lora" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "markdown", "url": "https://nexttoken.tv/wiki/terms/markdown", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/markdown.json", "name": { "zh-Hans": "Markdown", "en": "Markdown" }, "summary": { "zh-Hans": "Markdown 是一种轻量级标记语言，用纯文本符号（如", "en": "Markdown is a lightweight markup language that uses plain-text symbols (such as" }, "aliases": [ "md" ], "sources": [ { "label": { "zh-Hans": "CommonMark 规范", "en": "CommonMark Spec" }, "href": "https://spec.commonmark.org/" }, { "label": { "zh-Hans": "Daring Fireball：Markdown 语法文档", "en": "Daring Fireball: Markdown Syntax Documentation" }, "href": "https://daringfireball.net/projects/markdown/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "mcp", "url": "https://nexttoken.tv/wiki/terms/mcp", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/mcp.json", "name": { "zh-Hans": "模型上下文协议（MCP）", "en": "Model Context Protocol (MCP)" }, "summary": { "zh-Hans": "一个开放协议，为 AI 应用连接外部数据源与工具提供标准化接口，解决模型与各类系统对接的碎片化问题。", "en": "An open protocol that gives AI applications a standardized interface for connecting to external data sources and tools, replacing fragmented point-to-point integrations." }, "aliases": [ "MCP", "模型上下文协议", "Model Context Protocol" ], "sources": [ { "label": { "zh-Hans": "Model Context Protocol 官方站点", "en": "Model Context Protocol official site" }, "href": "https://modelcontextprotocol.io/" }, { "label": { "zh-Hans": "Anthropic：Model Context Protocol 公告", "en": "Anthropic: Introducing the Model Context Protocol" }, "href": "https://www.anthropic.com/news/model-context-protocol" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "meme", "url": "https://nexttoken.tv/wiki/terms/meme", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/meme.json", "name": { "zh-Hans": "模因", "en": "Meme" }, "summary": { "zh-Hans": "通过模仿、改写和传播在人群中流行的观念、表达或文化形式。", "en": "An idea, expression or cultural form that spreads through imitation and adaptation." }, "aliases": [ "网络迷因" ], "sources": [ { "label": { "zh-Hans": "定义与相关资料", "en": "Definition and context" }, "href": "https://en.wikipedia.org/wiki/Internet_meme" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "memory", "url": "https://nexttoken.tv/wiki/terms/memory", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/memory.json", "name": { "zh-Hans": "智能体记忆", "en": "Agent Memory" }, "summary": { "zh-Hans": "智能体记忆指 AI 系统跨会话持久保存并复用信息的机制，使模型在对话结束后仍能记住用户的事实、偏好与工作内容。在智能体语境中，它常以文件或数据库的形式存在，与单次对话内的上下文相区分。", "en": "Agent memory is the mechanism by which an AI system persists and reuses information across sessions, so the model still knows a user's facts, preferences, and ongoing work after a conversation ends. In the agent context it often lives in files or databases, distinct from the context of a single conversation." }, "aliases": [ "Memory" ], "sources": [ { "label": { "zh-Hans": "LangGraph 文档：记忆（Memory）", "en": "LangGraph docs: Memory" }, "href": "https://docs.langchain.com/oss/python/concepts/memory" }, { "label": { "zh-Hans": "Anthropic 文档：Claude 的记忆", "en": "Anthropic docs: Claude's memory" }, "href": "https://docs.anthropic.com/en/docs/build-with-claude/memory" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "midi", "url": "https://nexttoken.tv/wiki/terms/midi", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/midi.json", "name": { "zh-Hans": "乐器数字接口（MIDI）", "en": "Musical Instrument Digital Interface (MIDI)" }, "summary": { "zh-Hans": "乐器数字接口（MIDI）是电子乐器、计算机与其他设备之间交换音符、力度、控制指令等演奏信息的协议，1983 年发布，由 MIDI 协会维护。MIDI 传输的是指令而非音频本身，音色由接收设备决定。", "en": "Musical Instrument Digital Interface (MIDI) is a protocol for electronic instruments, computers and other devices to exchange performance data such as notes, velocity and control messages, released in 1983 and maintained by the MIDI Association. MIDI carries instructions, not audio itself; the sound is produced by the receiving device." }, "aliases": [ "MIDI", "乐器数字接口", "Musical Instrument Digital Interface" ], "sources": [ { "label": { "zh-Hans": "MIDI 协会官网", "en": "MIDI Association website" }, "href": "https://midi.org/" }, { "label": { "zh-Hans": "MIDI 协会：MIDI 1.0 详细规范", "en": "MIDI Association: MIDI 1.0 Detailed Specification" }, "href": "https://midi.org/midi-1-0-detailed-specification" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "minimum-viable-product", "url": "https://nexttoken.tv/wiki/terms/minimum-viable-product", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/minimum-viable-product.json", "name": { "zh-Hans": "最小可行产品（MVP）", "en": "Minimum Viable Product (MVP)" }, "summary": { "zh-Hans": "用最小必要实现检验核心假设并获取用户反馈的产品版本。", "en": "A minimal product version used to test core assumptions and learn from users." }, "aliases": [ "MVP" ], "sources": [ { "label": { "zh-Hans": "定义与相关资料", "en": "Definition and context" }, "href": "https://theleanstartup.com/principles" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "mod", "url": "https://nexttoken.tv/wiki/terms/mod", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/mod.json", "name": { "zh-Hans": "游戏模组", "en": "Mod" }, "summary": { "zh-Hans": "Mod 是玩家或第三方对游戏本体做出的修改，可调整内容、机制或画面，从小的道具改动到整体玩法重制都属此类。安装模组的行为与产物都常被称为 mod。", "en": "A mod is a player- or third-party-made modification of a video game, adjusting its content, mechanics or presentation, ranging from small item tweaks to full overhauls. Both the practice of modifying and its output are commonly called mods." }, "aliases": [ "Mods", "模组" ], "sources": [ { "label": { "zh-Hans": "维基百科：电子游戏模组", "en": "Wikipedia: Video game modding" }, "href": "https://en.wikipedia.org/wiki/Video_game_modding" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "model-distillation", "url": "https://nexttoken.tv/wiki/terms/model-distillation", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/model-distillation.json", "name": { "zh-Hans": "模型蒸馏", "en": "Model distillation" }, "summary": { "zh-Hans": "模型蒸馏是利用教师模型的输出或行为训练学生模型，使学生学习教师的部分能力。", "en": "Model distillation trains a student model using a teacher’s outputs or behavior to transfer some of the teacher’s capabilities." }, "aliases": [ "知识蒸馏" ], "sources": [ { "label": { "zh-Hans": "Hinton et al. · Distilling the Knowledge in a Neural Network", "en": "Hinton et al. · Distilling the Knowledge in a Neural Network" }, "href": "https://arxiv.org/abs/1503.02531" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "model-inference", "url": "https://nexttoken.tv/wiki/terms/model-inference", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/model-inference.json", "name": { "zh-Hans": "模型推理", "en": "Model inference" }, "summary": { "zh-Hans": "模型推理是用训练好的模型处理输入并产生预测或生成结果的过程。", "en": "Model inference applies a trained model to inputs to produce predictions or generated outputs." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Google · Machine Learning Glossary", "en": "Google · Machine Learning Glossary" }, "href": "https://developers.google.com/machine-learning/glossary#inference" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "model-interpretability", "url": "https://nexttoken.tv/wiki/terms/model-interpretability", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/model-interpretability.json", "name": { "zh-Hans": "模型可解释性", "en": "Model Interpretability" }, "summary": { "zh-Hans": "理解模型行为、内部机制或预测依据的能力与研究方向。", "en": "The ability and field of study concerned with understanding a model’s behavior, mechanisms or basis for predictions." }, "aliases": [ "可解释性" ], "sources": [ { "label": { "zh-Hans": "参考资料", "en": "Reference" }, "href": "https://developers.google.com/machine-learning/glossary#interpretability" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "model-weights", "url": "https://nexttoken.tv/wiki/terms/model-weights", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/model-weights.json", "name": { "zh-Hans": "模型权重", "en": "Model Weights" }, "summary": { "zh-Hans": "机器学习模型中的数值参数，参与计算并影响模型输出。", "en": "Numerical parameters that influence a machine-learning model’s computations and outputs." }, "aliases": [ "权重" ], "sources": [ { "label": { "zh-Hans": "参考资料", "en": "Reference" }, "href": "https://developers.google.com/machine-learning/glossary#weight" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "nand-flash", "url": "https://nexttoken.tv/wiki/terms/nand-flash", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/nand-flash.json", "name": { "zh-Hans": "NAND 闪存", "en": "NAND Flash" }, "summary": { "zh-Hans": "NAND 闪存是一种非易失性存储技术，断电后仍能保留数据，因存储单元以串联方式布线形似 NAND 门而得名。它以电荷方式在浮栅或类似结构中保存比特，是 SSD、存储卡和 U 盘等设备的基础存储介质。", "en": "NAND flash is a non-volatile storage technology that retains data without power, named for the series wiring of its memory cells that resembles a NAND gate. It stores bits as electrical charge in floating-gate or similar cell structures and serves as the underlying media for SSDs, memory cards, and USB drives." }, "aliases": [ "NAND", "NAND flash memory" ], "sources": [ { "label": { "zh-Hans": "维基百科：Flash memory", "en": "Wikipedia: Flash memory" }, "href": "https://en.wikipedia.org/wiki/Flash_memory" }, { "label": { "zh-Hans": "美光科技：NAND flash", "en": "Micron Technology: NAND flash" }, "href": "https://www.micron.com/products/nand" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "nas", "url": "https://nexttoken.tv/wiki/terms/nas", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/nas.json", "name": { "zh-Hans": "网络附加存储（NAS）", "en": "Network-Attached Storage (NAS)" }, "summary": { "zh-Hans": "网络附加存储（NAS）是通过标准网络协议向多台设备提供文件级存储服务的专用设备。它通常是一台带有多块硬盘、运行专用操作系统的独立主机，让家庭或团队可以集中存放和共享文件。", "en": "Network-attached storage (NAS) is a dedicated device that provides file-level storage services to multiple clients over a standard network. Typically a standalone box with multiple drives running its own operating system, it lets a home or team store and share files centrally." }, "aliases": [ "NAS", "网络存储", "网络附加存储", "Network-Attached Storage" ], "sources": [ { "label": { "zh-Hans": "维基百科：Network-attached storage", "en": "Wikipedia: Network-attached storage" }, "href": "https://en.wikipedia.org/wiki/Network-attached_storage" }, { "label": { "zh-Hans": "TechTarget：What Is Network-Attached Storage (NAS)?", "en": "TechTarget: What Is Network-Attached Storage (NAS)?" }, "href": "https://www.techtarget.com/searchstorage/definition/network-attached-storage" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "neocloud", "url": "https://nexttoken.tv/wiki/terms/neocloud", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/neocloud.json", "name": { "zh-Hans": "新型云服务商", "en": "Neocloud" }, "summary": { "zh-Hans": "新型云（Neocloud）是 AI 时代出现的新词，指专注 GPU 算力、面向 AI 训练与推理的新一代云服务商；相比传统超大规模云，更强调裸机与 GPU 集群租赁和精简的运营开销。该词由行业研究机构 SemiAnalysis 在 2024 年的报告中推广。", "en": "Neocloud is a term popularized by the industry research firm SemiAnalysis in 2024 reports for a new generation of cloud providers focused on GPU capacity for AI training and inference; compared with hyperscale clouds, they emphasize bare-metal and GPU cluster rentals with lean operations." }, "aliases": [ "Neo-cloud", "新型算力云" ], "sources": [ { "label": { "zh-Hans": "SemiAnalysis：AI Neocloud Playbook and Anatomy（2024）", "en": "SemiAnalysis: AI Neocloud Playbook and Anatomy (2024)" }, "href": "https://semianalysis.substack.com/p/ai-neocloud-playbook-and-anatomy" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "network", "url": "https://nexttoken.tv/wiki/terms/network", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/network.json", "name": { "zh-Hans": "网络", "en": "Network" }, "summary": { "zh-Hans": "网络是通过通信链路与协议连接起来、用于共享资源和交换数据的计算机与设备集合，按覆盖范围可分为局域网、城域网与广域网。", "en": "A network is a set of computers and devices connected by communication links and protocols to share resources and exchange data, classified by reach into LANs, MANs and WANs." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "IBM：什么是计算机网络", "en": "IBM: What is computer networking" }, "href": "https://www.ibm.com/think/topics/networking" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "neural-network", "url": "https://nexttoken.tv/wiki/terms/neural-network", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/neural-network.json", "name": { "zh-Hans": "神经网络", "en": "Neural Network" }, "summary": { "zh-Hans": "由相互连接的计算单元组成的机器学习模型，通过参数和非线性变换处理输入。", "en": "A machine-learning model built from connected computational units, parameters and nonlinear transformations." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "参考资料", "en": "Reference" }, "href": "https://developers.google.com/machine-learning/glossary#neural_network" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "one-shot", "url": "https://nexttoken.tv/wiki/terms/one-shot", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/one-shot.json", "name": { "zh-Hans": "一次完成（One Shot）", "en": "One Shot" }, "summary": { "zh-Hans": "One Shot 在本节目 AI 创作与编程语境中指一次提出需求后就得到可用结果，而不是经过多轮追问和修改。", "en": "In the show’s AI creation and coding discussions, one shot means obtaining a usable result from an initial request rather than through repeated follow-up revisions." }, "aliases": [ "one shot", "One-Shot", "一次完成" ], "sources": [ { "label": { "zh-Hans": "Next Token Weekly #002 transcript", "en": "Next Token Weekly #002 transcript" }, "href": "https://nexttoken.tv/weekly/002/transcript" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "opc", "url": "https://nexttoken.tv/wiki/terms/opc", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/opc.json", "name": { "zh-Hans": "一人公司（OPC）", "en": "One-Person Company (OPC)" }, "summary": { "zh-Hans": "一人公司（OPC）指由一个人独立创办和运营、通常不雇或极少雇员工的公司或工作方式，强调一个人借助工具与外包完成从产品到增长的全部环节。节目第 001 期称 AI 原生组织中\"每个人都是 OPC\"，第 004 期提到以一人公司著称的独立开发者。", "en": "A one-person company (OPC) is a company or way of working founded and run by a single person, usually with no or very few employees, with one person covering everything from product to growth using tools and outsourcing. In Weekly" }, "aliases": [ "OPC", "一人公司", "One-Person Company" ], "sources": [ { "label": { "zh-Hans": "维基百科：微型企业", "en": "Wikipedia: Micro enterprise" }, "href": "https://en.wikipedia.org/wiki/Micro_enterprise" }, { "label": { "zh-Hans": "Next Token Weekly 第 004 期逐字稿", "en": "Next Token Weekly" }, "href": "https://nexttoken.tv/weekly/004/transcript" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "open-source", "url": "https://nexttoken.tv/wiki/terms/open-source", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/open-source.json", "name": { "zh-Hans": "开源", "en": "Open source" }, "summary": { "zh-Hans": "开源指软件依据允许使用、检查、修改与再分发的许可证开放源代码。", "en": "Open source describes software distributed under a license permitting use, inspection, modification, and redistribution of its source code." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Open Source Initiative · Open Source Definition", "en": "Open Source Initiative · Open Source Definition" }, "href": "https://opensource.org/osd" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "operating-system", "url": "https://nexttoken.tv/wiki/terms/operating-system", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/operating-system.json", "name": { "zh-Hans": "操作系统（OS）", "en": "Operating System (OS)" }, "summary": { "zh-Hans": "操作系统（OS）是管理计算机硬件资源并为应用程序提供运行环境的系统软件，负责进程调度、内存管理、文件系统与设备驱动等基础工作。Windows、macOS、Linux 都是常见的操作系统。", "en": "An operating system (OS) is system software that manages a computer's hardware resources and provides the environment in which applications run, handling process scheduling, memory management, file systems and device drivers. Windows, macOS and Linux are common examples." }, "aliases": [ "OS", "操作系统", "Operating System" ], "sources": [ { "label": { "zh-Hans": "维基百科：操作系统", "en": "Wikipedia: Operating system" }, "href": "https://en.wikipedia.org/wiki/Operating_system" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "paas", "url": "https://nexttoken.tv/wiki/terms/paas", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/paas.json", "name": { "zh-Hans": "平台即服务（PaaS）", "en": "Platform as a service (PaaS)" }, "summary": { "zh-Hans": "平台即服务提供部署和运行应用所需的平台环境，由服务方管理底层基础设施的一部分。", "en": "Platform as a service provides an environment for deploying and running applications while the provider manages underlying infrastructure." }, "aliases": [ "PaaS" ], "sources": [ { "label": { "zh-Hans": "NIST · Platform as a service", "en": "NIST · Platform as a service" }, "href": "https://csrc.nist.gov/glossary/term/platform_as_a_service" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "pc", "url": "https://nexttoken.tv/wiki/terms/pc", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/pc.json", "name": { "zh-Hans": "个人计算机（PC）", "en": "Personal Computer (PC)" }, "summary": { "zh-Hans": "个人计算机（PC）指为单人使用而设计的计算机，典型组成包括处理器、内存、显示器与键盘等。狭义语境中 PC 常特指 IBM PC 兼容机（多以 Windows 为主），与 Mac 相对；广义上两者都属于个人计算机。", "en": "A personal computer (PC) is a computer designed for use by one person at a time, typically built around a processor, memory, a display and a keyboard. In a narrower sense, \"PC\" often refers specifically to IBM PC compatibles (mostly running Windows), contrasted with the Mac; broadly, both are personal computers." }, "aliases": [ "PC", "个人电脑", "个人计算机", "Personal Computer" ], "sources": [ { "label": { "zh-Hans": "大英百科：个人计算机", "en": "Encyclopaedia Britannica: Personal computer" }, "href": "https://www.britannica.com/technology/personal-computer" }, { "label": { "zh-Hans": "维基百科：个人计算机", "en": "Wikipedia: Personal computer" }, "href": "https://en.wikipedia.org/wiki/Personal_computer" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "pdf", "url": "https://nexttoken.tv/wiki/terms/pdf", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/pdf.json", "name": { "zh-Hans": "便携式文档格式（PDF）", "en": "Portable Document Format (PDF)" }, "summary": { "zh-Hans": "PDF 是一种固定版式的文档格式，由 Adobe 于 1993 年推出，现已成为 ISO 标准（ISO 32000）。它把文字、字体、图像与版面封装在同一文件中，保证在不同设备与平台上呈现一致。", "en": "PDF is a fixed-layout document format introduced by Adobe in 1993 and now an ISO standard (ISO 32000). It packs text, fonts, images and layout into one file so the document renders consistently across devices and platforms." }, "aliases": [ "PDF", "便携式文档格式", "Portable Document Format" ], "sources": [ { "label": { "zh-Hans": "ISO 32000-1:2008：文档管理—便携式文档格式", "en": "ISO 32000-1:2008 Document management — Portable document format" }, "href": "https://www.iso.org/standard/51502.html" }, { "label": { "zh-Hans": "Adobe：关于 PDF", "en": "Adobe: About Adobe PDF" }, "href": "https://www.adobe.com/acrobat/about-adobe-pdf.html" }, { "label": { "zh-Hans": "维基百科：PDF", "en": "Wikipedia: PDF" }, "href": "https://en.wikipedia.org/wiki/PDF" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "personal-agent", "url": "https://nexttoken.tv/wiki/terms/personal-agent", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/personal-agent.json", "name": { "zh-Hans": "个人智能体（Personal Agent）", "en": "Personal Agent" }, "summary": { "zh-Hans": "面向单个用户、逐步了解其偏好与上下文，并代表其处理日常事务的智能体。", "en": "An agent that serves a single individual, builds up knowledge of that person's preferences and context, and handles everyday tasks on their behalf." }, "aliases": [ "个人智能体" ], "sources": [ { "label": { "zh-Hans": "维基百科：软件智能体", "en": "Wikipedia: Software agent" }, "href": "https://en.wikipedia.org/wiki/Software_agent" }, { "label": { "zh-Hans": "维基百科：智能个人助理", "en": "Wikipedia: Intelligent personal assistant" }, "href": "https://en.wikipedia.org/wiki/Intelligent_personal_assistant" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "plaintext-password", "url": "https://nexttoken.tv/wiki/terms/plaintext-password", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/plaintext-password.json", "name": { "zh-Hans": "明文密码存储", "en": "Plaintext password storage" }, "summary": { "zh-Hans": "明文密码存储是以可直接读取的形式保存原始密码，而不是保存用于验证的密码哈希。", "en": "Plaintext password storage retains the original readable password instead of a password-verification hash." }, "aliases": [ "明文保存" ], "sources": [ { "label": { "zh-Hans": "OWASP · Password storage", "en": "OWASP · Password storage" }, "href": "https://cheatsheetseries.owasp.org/cheatsheets/Password_Storage_Cheat_Sheet.html" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "plugin", "url": "https://nexttoken.tv/wiki/terms/plugin", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/plugin.json", "name": { "zh-Hans": "插件", "en": "Plugin" }, "summary": { "zh-Hans": "在 AI 编程工具语境中，指把命令、子智能体、MCP 服务器、钩子等组件打包成单一单元分发安装的扩展机制；在通用软件语境中，指为主程序增加功能而不改动其核心的组件。", "en": "In AI coding tools, an extension mechanism that bundles commands, subagents, MCP servers and hooks into a single installable unit; more generally, a component that adds features to a host program without modifying its core." }, "aliases": [ "Plug-in" ], "sources": [ { "label": { "zh-Hans": "Claude Code 文档：插件", "en": "Claude Code docs: Plugins" }, "href": "https://code.claude.com/docs/en/plugins" }, { "label": { "zh-Hans": "维基百科：插件", "en": "Wikipedia: Plug-in (computing)" }, "href": "https://en.wikipedia.org/wiki/Plug-in_(computing)" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "pmf", "url": "https://nexttoken.tv/wiki/terms/pmf", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/pmf.json", "name": { "zh-Hans": "产品与市场契合（PMF）", "en": "Product-Market Fit (PMF)" }, "summary": { "zh-Hans": "产品与市场契合（PMF）指产品切实满足了一个真实且足够大的市场需求、由需求拉动增长的状态。这一概念因投资人马克·安德森的文章而广为流传。", "en": "Product-market fit (PMF) is the state in which a product genuinely satisfies a real, sizable market need, so that demand pulls the product forward. The concept was popularized by investor Marc Andreessen." }, "aliases": [ "PMF", "产品市场契合", "产品与市场契合", "Product-Market Fit" ], "sources": [ { "label": { "zh-Hans": "维基百科：产品—市场契合", "en": "Wikipedia: Product–market fit" }, "href": "https://en.wikipedia.org/wiki/Product/market_fit" }, { "label": { "zh-Hans": "Pmarchive：唯一重要的事（马克·安德森）", "en": "Pmarchive: The only thing that matters (Marc Andreessen)" }, "href": "https://pmarchive.com/guide_to_startups_part4.html" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "prompt", "url": "https://nexttoken.tv/wiki/terms/prompt", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/prompt.json", "name": { "zh-Hans": "提示词", "en": "Prompt" }, "summary": { "zh-Hans": "提示词（prompt）是提供给生成式模型的输入，用自然语言、示例或约束告诉模型要完成什么任务、以什么形式回答。围绕如何写好提示词的实践称为提示工程（prompt engineering）。", "en": "A prompt is the input given to a generative model — natural language, examples or constraints that state what task to perform and in what form to answer. The practice of writing effective prompts is called prompt engineering." }, "aliases": [ "提示" ], "sources": [ { "label": { "zh-Hans": "维基百科：Prompt engineering", "en": "Wikipedia: Prompt engineering" }, "href": "https://en.wikipedia.org/wiki/Prompt_engineering" }, { "label": { "zh-Hans": "OpenAI：Prompt engineering 指南", "en": "OpenAI: Prompt engineering guide" }, "href": "https://platform.openai.com/docs/guides/prompt-engineering" }, { "label": { "zh-Hans": "Anthropic：Prompt engineering 概述", "en": "Anthropic: Prompt engineering overview" }, "href": "https://docs.claude.com/en/docs/build-with-claude/prompt-engineering/overview" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "public-relations", "url": "https://nexttoken.tv/wiki/terms/public-relations", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/public-relations.json", "name": { "zh-Hans": "公共关系（PR）", "en": "Public Relations (PR)" }, "summary": { "zh-Hans": "通过沟通维护组织与公众关系的活动。", "en": "Communication that builds and maintains relationships between organizations and their publics." }, "aliases": [ "PR", "公共关系", "公关", "Public Relations" ], "sources": [ { "label": { "zh-Hans": "参考资料", "en": "Reference" }, "href": "https://www.prsa.org/about/all-about-pr" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "qa", "url": "https://nexttoken.tv/wiki/terms/qa", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/qa.json", "name": { "zh-Hans": "质量保证（QA）", "en": "Quality Assurance (QA)" }, "summary": { "zh-Hans": "QA（质量保证）指软件工程中为防止缺陷、保证产品质量而建立的一系列活动与流程，也常指承担这一职能的岗位或团队。在第 001 期节目中，QA 出现在岗位语境（与设计、前端、后端并列），指质量保证（Quality Assurance）而非问答（Q&A）。", "en": "QA (quality assurance) covers the activities and processes in software engineering meant to prevent defects and assure product quality; it also names the role or team that does this. In Weekly #001, QA appears in the job-role sense (listed alongside design, front-end, and back-end), referring to quality assurance rather than question answering (Q&A)." }, "aliases": [ "QA", "质量保证", "Quality Assurance" ], "sources": [ { "label": { "zh-Hans": "维基百科：质量保证", "en": "Wikipedia: Quality assurance" }, "href": "https://en.wikipedia.org/wiki/Quality_assurance" }, { "label": { "zh-Hans": "维基百科：软件测试", "en": "Wikipedia: Software testing" }, "href": "https://en.wikipedia.org/wiki/Software_testing" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "raid", "url": "https://nexttoken.tv/wiki/terms/raid", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/raid.json", "name": { "zh-Hans": "独立磁盘冗余阵列（RAID）", "en": "RAID" }, "summary": { "zh-Hans": "RAID（独立磁盘冗余阵列）是将多块物理磁盘组合为一个逻辑存储单元的技术，通过数据分布与冗余来提升性能、容量或容错能力。常见级别如 RAID 0、RAID 1、RAID 5、RAID 6 和 RAID 10 在速度、冗余与容量之间做出不同权衡。", "en": "RAID (redundant array of independent disks) is a technique that combines multiple physical drives into one logical storage unit, using data distribution and redundancy to improve performance, capacity, or fault tolerance. Common levels such as RAID 0, 1, 5, 6, and 10 make different trade-offs between speed, redundancy, and capacity." }, "aliases": [ "磁盘阵列", "冗余磁盘阵列", "redundant array of independent disks", "独立磁盘冗余阵列" ], "sources": [ { "label": { "zh-Hans": "维基百科：RAID", "en": "Wikipedia: RAID" }, "href": "https://en.wikipedia.org/wiki/RAID" }, { "label": { "zh-Hans": "TechTarget：What is RAID?", "en": "TechTarget: What is RAID?" }, "href": "https://www.techtarget.com/searchstorage/definition/RAID" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "recursive-self-improvement", "url": "https://nexttoken.tv/wiki/terms/recursive-self-improvement", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/recursive-self-improvement.json", "name": { "zh-Hans": "递归自我改进（RSI）", "en": "Recursive Self-Improvement (RSI)" }, "summary": { "zh-Hans": "RSI 指系统改进自身，而改进后的能力又用于推动下一轮改进的循环，是 AI 自我改进研究中的概念。", "en": "RSI describes a loop in which a system improves itself and uses the resulting capability to support further improvement." }, "aliases": [ "RSI", "递归自我改进" ], "sources": [ { "label": { "zh-Hans": "Yampolskiy: Recursively Self-Improving Software", "en": "Yampolskiy: Recursively Self-Improving Software" }, "href": "https://arxiv.org/abs/1502.06512" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "regression-testing", "url": "https://nexttoken.tv/wiki/terms/regression-testing", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/regression-testing.json", "name": { "zh-Hans": "回归测试", "en": "Regression testing" }, "summary": { "zh-Hans": "回归测试是在软件或环境发生改动后，检查已有功能是否受到意外影响的测试。", "en": "Regression testing checks whether changes to software or its environment have unintentionally affected existing behavior." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "ASTQB · Confirmation and regression testing", "en": "ASTQB · Confirmation and regression testing" }, "href": "https://astqb.org/2-2-test-levels-and-test-types/" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "regular-expression", "url": "https://nexttoken.tv/wiki/terms/regular-expression", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/regular-expression.json", "name": { "zh-Hans": "正则表达式", "en": "Regular expression" }, "summary": { "zh-Hans": "正则表达式是描述文本匹配模式的表达方式，可用于查找、提取、替换和校验字符串。", "en": "A regular expression describes a text-matching pattern for searching, extracting, replacing, or validating strings." }, "aliases": [ "正则", "Regex" ], "sources": [ { "label": { "zh-Hans": "MDN · Regular expressions", "en": "MDN · Regular expressions" }, "href": "https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_expressions" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "release-notes", "url": "https://nexttoken.tv/wiki/terms/release-notes", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/release-notes.json", "name": { "zh-Hans": "版本说明", "en": "Release Notes" }, "summary": { "zh-Hans": "版本说明（release notes）是随每次软件发布向用户说明新增功能、变更、修复与已知事项的文档，常见形式包括 changelog 与 GitHub Release 页面。", "en": "Release notes are documents shipped with each software release telling users what was added, changed, fixed and still broken. Common forms include a changelog and GitHub Release pages." }, "aliases": [ "release notes", "changelog", "更新日志" ], "sources": [ { "label": { "zh-Hans": "Keep a Changelog", "en": "Keep a Changelog" }, "href": "https://keepachangelog.com/en/1.1.0/" }, { "label": { "zh-Hans": "Semantic Versioning 2.0.0 规范（semver.org）", "en": "Semantic Versioning 2.0.0 spec (semver.org)" }, "href": "https://semver.org/spec/v2.0.0.html" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "rendering", "url": "https://nexttoken.tv/wiki/terms/rendering", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/rendering.json", "name": { "zh-Hans": "渲染", "en": "Rendering" }, "summary": { "zh-Hans": "渲染是依据场景、素材和效果计算最终画面的过程，可生成静态图像或连续的视频帧。", "en": "Rendering computes final images from scenes, source media, and effects, producing still images or successive video frames." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Adobe · 渲染与导出", "en": "Adobe · Rendering and exporting" }, "href": "https://helpx.adobe.com/after-effects/desktop/render-and-export/basics-of-rendering-and-exporting/basics-rendering-exporting.html" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "rlhf", "url": "https://nexttoken.tv/wiki/terms/rlhf", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/rlhf.json", "name": { "zh-Hans": "基于人类反馈的强化学习（RLHF）", "en": "Reinforcement Learning from Human Feedback (RLHF)" }, "summary": { "zh-Hans": "基于人类反馈的强化学习（RLHF）是一种训练方法：先让人类对模型的不同输出做比较或排序，训练出奖励模型，再用强化学习优化模型，使其输出更符合人类偏好。", "en": "Reinforcement learning from human feedback (RLHF) is a training method in which humans compare or rank a model's outputs, a reward model is trained from those judgments, and reinforcement learning then optimizes the model to produce outputs that better match human preferences." }, "aliases": [ "RLHF", "基于人类反馈的强化学习", "Reinforcement Learning from Human Feedback" ], "sources": [ { "label": { "zh-Hans": "维基百科：基于人类反馈的强化学习", "en": "Wikipedia: Reinforcement learning from human feedback" }, "href": "https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback" }, { "label": { "zh-Hans": "arXiv 论文《Training language models to follow instructions with human feedback》（InstructGPT）", "en": "arXiv paper \"Training language models to follow instructions with human feedback\" (InstructGPT)" }, "href": "https://arxiv.org/abs/2203.02155" }, { "label": { "zh-Hans": "Hugging Face 博客：图解 RLHF", "en": "Hugging Face blog: Illustrating RLHF" }, "href": "https://huggingface.co/blog/rlhf" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "roguelike", "url": "https://nexttoken.tv/wiki/terms/roguelike", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/roguelike.json", "name": { "zh-Hans": "Roguelike", "en": "Roguelike" }, "summary": { "zh-Hans": "Roguelike（类 Rogue 游戏）是源自 1980 年游戏 Rogue 的电子游戏类型，通常以回合制、网格地图、程序随机生成关卡与永久死亡为判定要素。玩家每次游玩的地图与遭遇都不同，死亡后需从头开始。", "en": "Roguelike is a video game genre descended from the 1980 game Rogue, commonly identified by turn-based play, grid-based maps, procedurally generated levels and permadeath. Each run offers different maps and encounters, and death means starting over." }, "aliases": [ "类 Rogue 游戏" ], "sources": [ { "label": { "zh-Hans": "维基百科：Roguelike", "en": "Wikipedia: Roguelike" }, "href": "https://en.wikipedia.org/wiki/Roguelike" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "roi", "url": "https://nexttoken.tv/wiki/terms/roi", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/roi.json", "name": { "zh-Hans": "投资回报率（ROI）", "en": "Return on Investment (ROI)" }, "summary": { "zh-Hans": "投资回报率（ROI）是衡量某笔投入赚回多少的比率指标，通常用收益与成本之差除以成本、以百分比表示。它的口径灵活，可用于一笔广告投放、一台设备，也可用于整体项目。", "en": "Return on investment (ROI) is a ratio that expresses how much a given outlay earned back, usually computed as net gain divided by cost and quoted as a percentage. Its scope is flexible — it can be applied to a single ad campaign, a piece of equipment, or an entire project." }, "aliases": [ "ROI", "投资回报", "投资回报率", "Return on Investment" ], "sources": [ { "label": { "zh-Hans": "维基百科：投资回报率", "en": "Wikipedia: Return on investment" }, "href": "https://en.wikipedia.org/wiki/Return_on_investment" }, { "label": { "zh-Hans": "Corporate Finance Institute：投资回报率（ROI）", "en": "Corporate Finance Institute: Return on Investment (ROI)" }, "href": "https://corporatefinanceinstitute.com/resources/valuation/return-on-investment-roi/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "root-access", "url": "https://nexttoken.tv/wiki/terms/root-access", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/root-access.json", "name": { "zh-Hans": "Root 权限", "en": "Root access" }, "summary": { "zh-Hans": "Root 通常指类 Unix 系统的超级用户身份；Root 权限允许执行普通用户不能执行的管理操作。", "en": "Root commonly denotes the superuser identity on Unix-like systems, with administrative privileges unavailable to ordinary users." }, "aliases": [ "Root" ], "sources": [ { "label": { "zh-Hans": "Linux man-pages · Capabilities", "en": "Linux man-pages · Capabilities" }, "href": "https://man7.org/linux/man-pages/man7/capabilities.7.html" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "rss", "url": "https://nexttoken.tv/wiki/terms/rss", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/rss.json", "name": { "zh-Hans": "RSS", "en": "RSS" }, "summary": { "zh-Hans": "RSS 是一种基于 XML 的内容订阅格式：网站把标题、摘要、链接等元数据组织成 feed 文件，订阅者用阅读器定期拉取该文件来获取更新。RSS 2.0 规范由 RSS Advisory Board 维护。", "en": "RSS is an XML-based format for syndicating web content: a site publishes titles, summaries and links in a feed file that subscribers poll with a feed reader to pick up updates. The RSS 2.0 specification is maintained by the RSS Advisory Board." }, "aliases": [ "Really Simple Syndication" ], "sources": [ { "label": { "zh-Hans": "RSS Advisory Board：RSS 2.0 规范", "en": "RSS Advisory Board: RSS 2.0 Specification" }, "href": "https://www.rssboard.org/rss-specification" }, { "label": { "zh-Hans": "IETF RFC 4287：Atom 联合格式", "en": "IETF RFC 4287: The Atom Syndication Format" }, "href": "https://www.rfc-editor.org/rfc/rfc4287" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "runtime", "url": "https://nexttoken.tv/wiki/terms/runtime", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/runtime.json", "name": { "zh-Hans": "运行时", "en": "Runtime" }, "summary": { "zh-Hans": "运行时（runtime）指程序实际执行时所处的环境与支撑系统，涵盖内存管理、调度、标准库以及与操作系统的交互。它也常指承载某种语言执行的具体软件，例如 Node.js 或浏览器中的 JavaScript 引擎。", "en": "A runtime is the environment and supporting system in which a program actually executes, covering memory management, scheduling, standard libraries and interaction with the operating system. The word also refers to the concrete software that hosts a language's execution, such as Node.js or a browser's JavaScript engine." }, "aliases": [ "运行时环境", "runtime environment" ], "sources": [ { "label": { "zh-Hans": "Node.js 官网：关于 Node.js", "en": "Node.js: About Node.js" }, "href": "https://nodejs.org/en/about" }, { "label": { "zh-Hans": "MDN：JavaScript 技术概览", "en": "MDN: JavaScript technologies overview" }, "href": "https://developer.mozilla.org/en-US/docs/Web/JavaScript/JavaScript_technologies_overview" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "saas", "url": "https://nexttoken.tv/wiki/terms/saas", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/saas.json", "name": { "zh-Hans": "软件即服务（SaaS）", "en": "Software as a Service (SaaS)" }, "summary": { "zh-Hans": "软件即服务（SaaS）指软件由服务商托管在云端、用户按月或按年订阅付费并通过网络使用的软件交付模式，无需自行安装和维护。它是云计算的一种主要服务形态。", "en": "Software as a service (SaaS) is a software delivery model in which applications are hosted by the vendor in the cloud and used over the network on a monthly or annual subscription, with no local installation or maintenance. It is one of the main service models of cloud computing." }, "aliases": [ "SaaS", "软件即服务", "Software as a Service" ], "sources": [ { "label": { "zh-Hans": "维基百科：软件即服务", "en": "Wikipedia: Software as a service" }, "href": "https://en.wikipedia.org/wiki/Software_as_a_service" }, { "label": { "zh-Hans": "Microsoft Azure 云计算词典：什么是 SaaS", "en": "Microsoft Azure Cloud Computing Dictionary: What is SaaS?" }, "href": "https://azure.microsoft.com/en-us/resources/cloud-computing-dictionary/what-is-saas" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "save-time-kill-time", "url": "https://nexttoken.tv/wiki/terms/save-time-kill-time", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/save-time-kill-time.json", "name": { "zh-Hans": "省时间与消遣（Save Time / Kill Time）", "en": "Saving time and passing time" }, "summary": { "zh-Hans": "Save Time 强调减少完成任务所需的时间；Kill Time 通常表示打发时间。节目用这组表达讨论效率工具与消遣体验。", "en": "Save Time emphasizes reducing the time needed for a task; Kill Time usually means passing time. The episode uses the contrast to discuss utility and entertainment." }, "aliases": [ "Save Time", "Kill Time" ], "sources": [ { "label": { "zh-Hans": "Cambridge Dictionary · Kill time", "en": "Cambridge Dictionary · Kill time" }, "href": "https://dictionary.cambridge.org/dictionary/english/kill-time-an-hour-etc" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "sdk", "url": "https://nexttoken.tv/wiki/terms/sdk", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/sdk.json", "name": { "zh-Hans": "软件开发工具包（SDK）", "en": "Software Development Kit (SDK)" }, "summary": { "zh-Hans": "软件开发工具包（SDK）是面向特定平台或服务的开发资源集合，通常包含类库、API、文档、示例代码与构建调试工具。开发者借助 SDK 在目标平台上更快地构建应用或接入服务。", "en": "A software development kit (SDK) is a bundle of resources for building on a specific platform or service, typically including libraries, APIs, documentation, sample code and build or debugging tools. It helps developers build apps or integrate services on a target platform faster." }, "aliases": [ "SDK", "devkit", "软件开发工具包", "Software Development Kit" ], "sources": [ { "label": { "zh-Hans": "Android 开发者：下载 Android Studio 与 SDK 工具", "en": "Android Developers: Download Android Studio & SDK Tools" }, "href": "https://developer.android.com/studio" }, { "label": { "zh-Hans": "Apple 开发者：Xcode", "en": "Apple Developer: Xcode" }, "href": "https://developer.apple.com/xcode/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "semantic-versioning", "url": "https://nexttoken.tv/wiki/terms/semantic-versioning", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/semantic-versioning.json", "name": { "zh-Hans": "语义化版本（SemVer）", "en": "Semantic Versioning (SemVer)" }, "summary": { "zh-Hans": "语义化版本（SemVer）是版本号规范，格式为\"主版本号.次版本号.修订号\"（如 2.4.1）：主版本号变更表示不兼容的 API 变更，次版本号表示向后兼容的新功能，修订号表示向后兼容的问题修复。", "en": "Semantic Versioning (SemVer) is a versioning scheme with the format major.minor.patch (for example 2.4.1): a major bump signals an incompatible API change, a minor bump adds backward-compatible functionality, and a patch bump fixes backward-compatible bugs." }, "aliases": [ "SemVer", "语义化版本号", "语义化版本", "Semantic Versioning" ], "sources": [ { "label": { "zh-Hans": "Semantic Versioning 2.0.0 规范（semver.org）", "en": "Semantic Versioning 2.0.0 spec (semver.org)" }, "href": "https://semver.org/spec/v2.0.0.html" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "seo", "url": "https://nexttoken.tv/wiki/terms/seo", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/seo.json", "name": { "zh-Hans": "搜索引擎优化（SEO）", "en": "Search Engine Optimization (SEO)" }, "summary": { "zh-Hans": "搜索引擎优化（SEO）指通过改进内容质量、网站技术结构与外部链接，使网页在搜索引擎的自然（非付费）结果中获得更好收录与排名的实践。", "en": "Search engine optimization (SEO) is the practice of improving content, technical structure and backlinks so that pages get indexed and ranked better in the organic (non-paid) results of search engines." }, "aliases": [ "SEO", "搜索引擎优化", "Search Engine Optimization" ], "sources": [ { "label": { "zh-Hans": "Google 搜索中心：搜索引擎优化（SEO）新手指南", "en": "Google Search Central: SEO Starter Guide" }, "href": "https://developers.google.com/search/docs/fundamentals/seo-starter-guide" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "server", "url": "https://nexttoken.tv/wiki/terms/server", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/server.json", "name": { "zh-Hans": "服务器", "en": "Server" }, "summary": { "zh-Hans": "服务器是为其他程序或设备（客户端）提供服务的计算机或软件。硬件语境指数据中心里承载计算与存储的设备，软件语境指监听并响应请求的进程，如 Web 服务器。", "en": "A server is a computer or program that provides services to other programs or devices (clients). In a hardware sense it refers to the computing equipment in data centers; in a software sense it is a process that listens for and answers requests, such as a web server." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "MDN：什么是 Web 服务器", "en": "MDN: What is a web server" }, "href": "https://developer.mozilla.org/en-US/docs/Learn_web_development/Howto/Web_mechanics/What_is_a_web_server" }, { "label": { "zh-Hans": "MDN：服务器端网站编程入门", "en": "MDN: Getting started with server-side programming" }, "href": "https://developer.mozilla.org/en-US/docs/Learn_web_development/Extensions/Server-side/First_steps/Introduction" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "session", "url": "https://nexttoken.tv/wiki/terms/session", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/session.json", "name": { "zh-Hans": "会话", "en": "Session" }, "summary": { "zh-Hans": "用户与系统之间一段有边界的连续交互过程，期间相关的状态与上下文被保持；在 AI 助手语境中指一次完整的对话及其携带的上下文。", "en": "A bounded period of continuous interaction between a user and a system, during which related state and context are preserved; in AI assistant contexts, one complete conversation and the context it carries." }, "aliases": [ "会话期" ], "sources": [ { "label": { "zh-Hans": "MDN Web 文档：使用 HTTP Cookies", "en": "MDN Web Docs: Using HTTP cookies" }, "href": "https://developer.mozilla.org/en-US/docs/Web/HTTP/Cookies" }, { "label": { "zh-Hans": "Wikipedia：Session（computer science）", "en": "Wikipedia: Session (computer science)" }, "href": "https://en.wikipedia.org/wiki/Session_(computer_science)" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "show-notes", "url": "https://nexttoken.tv/wiki/terms/show-notes", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/show-notes.json", "name": { "zh-Hans": "节目说明", "en": "Show Notes" }, "summary": { "zh-Hans": "节目说明（Show Notes）是随单集播客发布的文字材料，通常包括单集要点、嘉宾信息、时间戳与相关链接，帮助听众了解、检索与回顾单集内容。", "en": "Show notes are text materials published alongside a podcast episode, typically covering key points, guest information, timestamps and related links that help listeners understand, search and revisit the episode." }, "aliases": [ "节目笔记" ], "sources": [ { "label": { "zh-Hans": "Buzzsprout 博客：播客节目说明", "en": "Buzzsprout Blog: Podcast Show Notes" }, "href": "https://www.buzzsprout.com/blog/podcast-show-notes" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "smart-home", "url": "https://nexttoken.tv/wiki/terms/smart-home", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/smart-home.json", "name": { "zh-Hans": "智能家居", "en": "Smart home" }, "summary": { "zh-Hans": "智能家居通过联网设备、传感器与控制系统，让家庭设备支持远程操作、状态反馈或自动化协作。", "en": "A smart home uses connected devices, sensors, and control systems for remote operation, status feedback, or household automation." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Connectivity Standards Alliance · Matter", "en": "Connectivity Standards Alliance · Matter" }, "href": "https://csa-iot.org/all-solutions/matter/" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "social-engineering", "url": "https://nexttoken.tv/wiki/terms/social-engineering", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/social-engineering.json", "name": { "zh-Hans": "社会工程攻击", "en": "Social Engineering" }, "summary": { "zh-Hans": "利用信任、身份伪装或心理诱导，使人泄露信息或执行不安全操作的攻击方式。", "en": "Attacks that exploit trust, impersonation or persuasion to induce unsafe actions or disclosure." }, "aliases": [ "社会工程学" ], "sources": [ { "label": { "zh-Hans": "定义与相关资料", "en": "Definition and context" }, "href": "https://developer.mozilla.org/en-US/docs/Glossary/Social_engineering" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "sota", "url": "https://nexttoken.tv/wiki/terms/sota", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/sota.json", "name": { "zh-Hans": "当前最佳水平（SOTA）", "en": "State of the Art (SOTA)" }, "summary": { "zh-Hans": "SOTA（state of the art）指某一任务上公开已知的最佳成绩或最先进方法。说某模型\"达到 SOTA\"，通常意味着它在公认基准上刷新或持平了已公开的最好纪录。", "en": "SOTA (state of the art) refers to the best publicly known result or the most advanced method on a given task. Saying a model \"achieves SOTA\" usually means it matches or beats the best publicly reported score on recognized benchmarks." }, "aliases": [ "SOTA", "state-of-the-art", "最先进水平", "当前最佳水平", "State of the Art" ], "sources": [ { "label": { "zh-Hans": "维基百科：State of the art", "en": "Wikipedia: State of the art" }, "href": "https://en.wikipedia.org/wiki/State_of_the_art" }, { "label": { "zh-Hans": "维基百科：Benchmark（计算基准）", "en": "Wikipedia: Benchmark (computing)" }, "href": "https://en.wikipedia.org/wiki/Benchmark_(computing)" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "ssd", "url": "https://nexttoken.tv/wiki/terms/ssd", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ssd.json", "name": { "zh-Hans": "固态硬盘（SSD）", "en": "Solid-State Drive (SSD)" }, "summary": { "zh-Hans": "固态硬盘（SSD）是使用 NAND 闪存芯片而非旋转磁盘来保存数据的存储设备，通过主控芯片管理读写与磨损。由于没有机械部件，它比机械硬盘提供更低的访问延迟和更强的抗振动能力。", "en": "A solid-state drive (SSD) is a storage device that keeps data in NAND flash memory chips rather than on spinning magnetic platters, with a controller managing reads, writes, and wear. With no mechanical parts, it offers lower access latency and better shock resistance than a hard disk drive." }, "aliases": [ "SSD", "solid state drive", "固态硬盘", "Solid-State Drive" ], "sources": [ { "label": { "zh-Hans": "维基百科：Solid-state drive", "en": "Wikipedia: Solid-state drive" }, "href": "https://en.wikipedia.org/wiki/Solid-state_drive" }, { "label": { "zh-Hans": "TechTarget：What is an SSD?", "en": "TechTarget: What is an SSD?" }, "href": "https://www.techtarget.com/searchstorage/definition/SSD-solid-state-drive" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "ssh", "url": "https://nexttoken.tv/wiki/terms/ssh", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ssh.json", "name": { "zh-Hans": "安全外壳协议（SSH）", "en": "Secure Shell (SSH)" }, "summary": { "zh-Hans": "SSH 是为在不安全网络上安全运行网络服务而设计的协议（RFC 4251），提供加密与认证，最常用于远程登录和命令行管理，也可用于安全文件传输与端口转发。", "en": "SSH is a protocol for securely operating network services over an unsecured network (RFC 4251), providing encryption and authentication. It is best known for remote login and command-line administration, and is also used for secure file transfer and port forwarding." }, "aliases": [ "SSH", "Secure Shell Protocol", "安全外壳协议", "Secure Shell" ], "sources": [ { "label": { "zh-Hans": "IETF RFC 4251：安全外壳（SSH）协议架构", "en": "IETF RFC 4251: The Secure Shell (SSH) Protocol Architecture" }, "href": "https://www.rfc-editor.org/rfc/rfc4251" }, { "label": { "zh-Hans": "OpenSSH 官方站点", "en": "OpenSSH official site" }, "href": "https://www.openssh.com/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "streaming-output", "url": "https://nexttoken.tv/wiki/terms/streaming-output", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/streaming-output.json", "name": { "zh-Hans": "流式输出", "en": "Streaming output" }, "summary": { "zh-Hans": "流式输出是在结果尚未全部生成时，逐步把已产生的内容发送给使用者。", "en": "Streaming output delivers portions of a result before the whole result has finished generating." }, "aliases": [ "Streaming Output" ], "sources": [ { "label": { "zh-Hans": "MDN · Server-sent events", "en": "MDN · Server-sent events" }, "href": "https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "subagent", "url": "https://nexttoken.tv/wiki/terms/subagent", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/subagent.json", "name": { "zh-Hans": "子智能体", "en": "Subagent" }, "summary": { "zh-Hans": "由主智能体派生、代表其执行特定子任务的智能体，通常拥有独立的上下文与工具，只把结果摘要返回给主智能体。", "en": "An agent spawned by a main agent to carry out a specific subtask, usually running with its own context and tools and returning only a summary of results." }, "aliases": [ "Sub Agents", "Sub-agent" ], "sources": [ { "label": { "zh-Hans": "Claude Code 文档：子智能体", "en": "Claude Code docs: Subagents" }, "href": "https://code.claude.com/docs/en/sub-agents" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "svg", "url": "https://nexttoken.tv/wiki/terms/svg", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/svg.json", "name": { "zh-Hans": "可缩放矢量图形（SVG）", "en": "Scalable Vector Graphics (SVG)" }, "summary": { "zh-Hans": "可缩放矢量图形（SVG）是 W3C 制定的基于 XML 的矢量图像格式，用数学描述形状、路径与文字，可无损缩放到任意尺寸。与按像素存储的位图格式（如 GIF）相对，SVG 常用于图标与插图。", "en": "Scalable Vector Graphics (SVG) is an XML-based vector image format defined by the W3C, describing shapes, paths and text mathematically so images scale to any size without loss. Unlike pixel-based bitmap formats such as GIF, SVG is commonly used for icons and illustrations." }, "aliases": [ "SVG", "可缩放矢量图形", "Scalable Vector Graphics" ], "sources": [ { "label": { "zh-Hans": "W3C：SVG 图形页面", "en": "W3C: SVG (Graphics page)" }, "href": "https://www.w3.org/Graphics/SVG/" }, { "label": { "zh-Hans": "W3C：SVG 1.1 规范", "en": "W3C: SVG 1.1 Specification" }, "href": "https://www.w3.org/TR/SVG11/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "system-one", "url": "https://nexttoken.tv/wiki/terms/system-one", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/system-one.json", "name": { "zh-Hans": "System One", "en": "System One" }, "summary": { "zh-Hans": "System One 是 TypeSafe AI 提出的模型类别，官方定义为\"构建用来做快速、结构化决策、供软件直接使用的一类前沿模型\"，命名借自卡尼曼《思考，快与慢》中 System 1/System 2 的区分。官方称其 Jev 是第一款公开的 System One 模型。", "en": "System One is a model category proposed by TypeSafe AI, officially defined as \"a new class of frontier models built to make fast, structured decisions that software can use directly\"; the name borrows the System 1/System 2 distinction from Kahneman's Thinking, Fast and Slow. TypeSafe calls its Jev the first publicly announced System One model." }, "aliases": [ "System One Model" ], "sources": [ { "label": { "zh-Hans": "TypeSafe AI 官方博客：Introducing System One Models & Jev", "en": "TypeSafe AI blog: Introducing System One Models & Jev" }, "href": "https://typesafe.ai/blog/introducing-system-one-models-and-jev" }, { "label": { "zh-Hans": "TypeSafe AI 文档", "en": "TypeSafe AI documentation" }, "href": "https://docs.typesafe.ai/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "system-prompt", "url": "https://nexttoken.tv/wiki/terms/system-prompt", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/system-prompt.json", "name": { "zh-Hans": "系统提示词", "en": "System Prompt" }, "summary": { "zh-Hans": "系统提示词（system prompt）是开发者或产品在对话开始前注入的指令，用来设定模型的角色、规则与输出约束，通常对终端用户不可见。", "en": "A system prompt is an instruction injected by the developer or product before a conversation begins, setting the model's role, rules and output constraints; it is typically invisible to end users." }, "aliases": [ "System Message", "系统指令" ], "sources": [ { "label": { "zh-Hans": "OpenAI：文本生成指南（system 消息）", "en": "OpenAI: Text generation guide (system messages)" }, "href": "https://platform.openai.com/docs/guides/text" }, { "label": { "zh-Hans": "Anthropic：系统提示词最佳实践", "en": "Anthropic: System prompts (prompting best practices)" }, "href": "https://docs.claude.com/en/docs/build-with-claude/prompt-engineering/system-prompts" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "technology-stack", "url": "https://nexttoken.tv/wiki/terms/technology-stack", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/technology-stack.json", "name": { "zh-Hans": "技术栈", "en": "Technology stack" }, "summary": { "zh-Hans": "技术栈是构建和运行一个应用所采用的语言、框架、数据库与基础设施等技术的组合。", "en": "A technology stack is the combination of languages, frameworks, databases, and infrastructure used to build and run an application." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "MongoDB · Technology stack", "en": "MongoDB · Technology stack" }, "href": "https://www.mongodb.com/resources/basics/technology-stack" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "token", "url": "https://nexttoken.tv/wiki/terms/token", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/token.json", "name": { "zh-Hans": "词元", "en": "Token" }, "summary": { "zh-Hans": "词元是语言模型读入和生成文本的基本单位，由分词器把原始文本切分而成，可能对应一个词、子词、字或符号。模型的输入输出与用量都按词元计数。", "en": "A token is the basic unit of text that a language model reads and generates. A tokenizer splits raw text into tokens, each corresponding to a word, subword, character, or symbol; model input, output, and usage are all measured in tokens." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Hugging Face Transformers 文档：分词器", "en": "Hugging Face Transformers docs: Tokenizers" }, "href": "https://huggingface.co/docs/transformers/en/main_classes/tokenizer" }, { "label": { "zh-Hans": "Anthropic 文档：词元计数", "en": "Anthropic docs: Counting tokens" }, "href": "https://docs.claude.com/en/docs/build-with-claude/token-counting" }, { "label": { "zh-Hans": "维基百科：大语言模型（词元化部分）", "en": "Wikipedia: Large language model (tokenization)" }, "href": "https://en.wikipedia.org/wiki/Large_language_model" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "token-maxxing", "url": "https://nexttoken.tv/wiki/terms/token-maxxing", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/token-maxxing.json", "name": { "zh-Hans": "Token Maxxing", "en": "Token Maxxing" }, "summary": { "zh-Hans": "Token Maxxing 是 Next Token 节目参与者使用的说法，指把 AI 用到极致、大规模消耗 token 的做法。节目第 001 期讨论 AI 原生组织时提到这一说法，并认为单靠它不一定带来整体提效；它不是通用词典词汇，定义依附节目语境。", "en": "Token Maxxing is a phrase used by Next Token participants for pushing AI usage to the max and consuming tokens at massive scale. It came up in Weekly" }, "aliases": [], "sources": [ { "label": { "zh-Hans": "Next Token Weekly 第 001 期逐字稿", "en": "Next Token Weekly" }, "href": "https://nexttoken.tv/weekly/001/transcript" }, { "label": { "zh-Hans": "维基百科：Looksmaxxing（-maxxing 后缀的来源）", "en": "Wikipedia: Looksmaxxing (origin of the \"-maxxing\" suffix)" }, "href": "https://en.wikipedia.org/wiki/Looksmaxxing" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "tokens-per-second", "url": "https://nexttoken.tv/wiki/terms/tokens-per-second", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/tokens-per-second.json", "name": { "zh-Hans": "每秒词元数（TPS）", "en": "Tokens per Second (TPS)" }, "summary": { "zh-Hans": "每秒词元数（TPS）是衡量语言模型生成速度的指标，表示模型每秒输出多少个词元，通常统计首词元之后的稳定生成速度。数值越高，文本出现得越快。", "en": "Tokens per second (TPS) measures how fast a language model generates text — the number of tokens it outputs per second, usually counted after the first token arrives. Higher values mean text appears faster." }, "aliases": [ "TPS", "每秒词元数", "Tokens per Second" ], "sources": [ { "label": { "zh-Hans": "Artificial Analysis 评测方法说明", "en": "Artificial Analysis methodology" }, "href": "https://artificialanalysis.ai/methodology" }, { "label": { "zh-Hans": "vLLM 文档：基准测试 CLI", "en": "vLLM docs: Benchmark CLI" }, "href": "https://docs.vllm.ai/en/latest/benchmarking/cli/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "tpu", "url": "https://nexttoken.tv/wiki/terms/tpu", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/tpu.json", "name": { "zh-Hans": "张量处理单元（TPU）", "en": "Tensor Processing Unit (TPU)" }, "summary": { "zh-Hans": "张量处理单元（TPU）是 Google 为机器学习工作负载设计的专用集成电路（ASIC），用于加速神经网络中的张量运算。它以矩阵乘法等核心计算为设计中心，主要经由 Google Cloud 以云服务形式提供。", "en": "A tensor processing unit (TPU) is an application-specific integrated circuit (ASIC) designed by Google for machine learning workloads, built to accelerate tensor operations in neural networks. Centered on computations such as matrix multiplication, it is offered primarily as a service through Google Cloud." }, "aliases": [ "TPU", "张量处理器", "张量处理单元", "Tensor Processing Unit" ], "sources": [ { "label": { "zh-Hans": "维基百科：Tensor Processing Unit", "en": "Wikipedia: Tensor Processing Unit" }, "href": "https://en.wikipedia.org/wiki/Tensor_Processing_Unit" }, { "label": { "zh-Hans": "Google Cloud 文档：Introduction to Cloud TPU", "en": "Google Cloud Docs: Introduction to Cloud TPU" }, "href": "https://cloud.google.com/tpu/docs/tpus" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "transformer", "url": "https://nexttoken.tv/wiki/terms/transformer", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/transformer.json", "name": { "zh-Hans": "Transformer", "en": "Transformer" }, "summary": { "zh-Hans": "Transformer 是一种以自注意力机制为核心的神经网络架构，由论文《Attention Is All You Need》提出，用于处理文本等序列数据，是大语言模型的基础架构。", "en": "The transformer is a neural network architecture built on self-attention, introduced in the paper \"Attention Is All You Need\" for processing sequences such as text; it is the architecture underlying large language models." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "arXiv 论文《Attention Is All You Need》", "en": "arXiv paper \"Attention Is All You Need\"" }, "href": "https://arxiv.org/abs/1706.03762" }, { "label": { "zh-Hans": "维基百科：Transformer（深度学习架构）", "en": "Wikipedia: Transformer (deep learning architecture)" }, "href": "https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture)" }, { "label": { "zh-Hans": "Google Research 博客：Transformer 架构介绍", "en": "Google Research blog: Introducing the Transformer architecture" }, "href": "https://research.google/blog/transformer-a-novel-neural-network-architecture-for-language-understanding/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "tts", "url": "https://nexttoken.tv/wiki/terms/tts", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/tts.json", "name": { "zh-Hans": "文本转语音（TTS）", "en": "Text-to-Speech (TTS)" }, "summary": { "zh-Hans": "文本转语音（TTS），又称语音合成（Speech Synthesis），是把书面文本转换为可听语音的技术。现代神经 TTS 能生成接近真人的声音，并支持用少量样本克隆音色。", "en": "Text-to-speech (TTS), also called speech synthesis, is the technology that converts written text into audible speech. Modern neural TTS can produce near-human voices and clone a voice from a short sample." }, "aliases": [ "TTS", "Speech Synthesis", "语音合成", "文本转语音", "Text-to-Speech" ], "sources": [ { "label": { "zh-Hans": "维基百科：Speech synthesis", "en": "Wikipedia: Speech synthesis" }, "href": "https://en.wikipedia.org/wiki/Speech_synthesis" }, { "label": { "zh-Hans": "MDN：Web Speech API SpeechSynthesis", "en": "MDN: Web Speech API SpeechSynthesis" }, "href": "https://developer.mozilla.org/en-US/docs/Web/API/SpeechSynthesis" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "ubi", "url": "https://nexttoken.tv/wiki/terms/ubi", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ubi.json", "name": { "zh-Hans": "全民基本收入（UBI）", "en": "Universal Basic Income (UBI)" }, "summary": { "zh-Hans": "全民基本收入（UBI）指由政府或公共机构向某个共同体的全体成员定期、无条件发放相同金额现金的公共政策构想，不设资产审查与工作要求。", "en": "Universal basic income (UBI) is a policy proposal under which a government or public institution pays every member of a community the same amount of cash on a regular, unconditional basis, with no means test and no work requirement." }, "aliases": [ "UBI", "全民基本收入", "Universal Basic Income" ], "sources": [ { "label": { "zh-Hans": "斯坦福基本收入实验室", "en": "Stanford Basic Income Lab" }, "href": "https://basicincome.stanford.edu/" }, { "label": { "zh-Hans": "维基百科：全民基本收入", "en": "Wikipedia: Universal basic income" }, "href": "https://en.wikipedia.org/wiki/Universal_basic_income" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "ui", "url": "https://nexttoken.tv/wiki/terms/ui", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ui.json", "name": { "zh-Hans": "用户界面（UI）", "en": "User Interface (UI)" }, "summary": { "zh-Hans": "用户界面（UI）是人与机器交互的接触面，涵盖屏幕上的按钮、菜单、图标、文字等可视与可操作元素。图形用户界面只是 UI 的一种形态，命令行、语音界面同样属于 UI。", "en": "A user interface (UI) is the surface where a human interacts with a machine, covering visible and operable elements such as buttons, menus, icons and text. A graphical user interface is one form of UI; command lines and voice interfaces are also UIs." }, "aliases": [ "UI", "界面", "用户界面", "User Interface" ], "sources": [ { "label": { "zh-Hans": "维基百科：用户界面", "en": "Wikipedia: User interface" }, "href": "https://en.wikipedia.org/wiki/User_interface" }, { "label": { "zh-Hans": "Nielsen Norman Group：用户体验的定义（含 UI 与 UX 的区分）", "en": "Nielsen Norman Group: The Definition of User Experience (UX)" }, "href": "https://www.nngroup.com/articles/definition-user-experience/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "up-creator", "url": "https://nexttoken.tv/wiki/terms/up-creator", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/up-creator.json", "name": { "zh-Hans": "UP 主", "en": "UP creator" }, "summary": { "zh-Hans": "UP 主是中文视频社区对发布内容的创作者的常用称呼，在哔哩哔哩尤其常见。", "en": "UP creator is a common Chinese video-community label for people who publish content, particularly on Bilibili." }, "aliases": [ "UP主" ], "sources": [ { "label": { "zh-Hans": "Bilibili · Video creators", "en": "Bilibili · Video creators" }, "href": "https://e.bilibili.com/observe/observe_42.html" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "usb", "url": "https://nexttoken.tv/wiki/terms/usb", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/usb.json", "name": { "zh-Hans": "通用串行总线（USB）", "en": "Universal Serial Bus (USB)" }, "summary": { "zh-Hans": "通用串行总线（USB）是由 USB 开发者论坛（USB-IF）制定的外设连接标准，用于在计算机与外部设备之间传输数据并供电。它统一了键鼠、存储、显示等多种设备的接口方式，常见形态包括 USB Type-A 与 USB Type-C 连接器。", "en": "Universal Serial Bus (USB) is a standard for connecting peripherals, defined by the USB Implementers Forum (USB-IF), carrying both data and power between computers and external devices. It unified how keyboards, storage, displays and more attach to a host, with USB Type-A and USB Type-C as familiar connector shapes." }, "aliases": [ "USB", "通用串行总线", "Universal Serial Bus" ], "sources": [ { "label": { "zh-Hans": "USB 开发者论坛（USB-IF）官方站点", "en": "USB Implementers Forum (USB-IF) official site" }, "href": "https://www.usb.org/" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "ux", "url": "https://nexttoken.tv/wiki/terms/ux", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/ux.json", "name": { "zh-Hans": "用户体验（UX）", "en": "User Experience (UX)" }, "summary": { "zh-Hans": "用户体验（UX）指用户使用一个产品的全过程与总体感受，包括可用性、效率和情感反应，这一术语由认知科学家 Don Norman 在 1990 年代推广。UI 关注界面的呈现与操作，UX 关注从入口到结果的整体体验。", "en": "User experience (UX) describes the entire process and overall feeling a person has when using a product, including usability, efficiency and emotional response; the term was popularized in the 1990s by cognitive scientist Don Norman. UI concerns how an interface looks and behaves, while UX concerns the whole journey and its outcomes." }, "aliases": [ "UX", "用户体验", "User Experience" ], "sources": [ { "label": { "zh-Hans": "Nielsen Norman Group：用户体验的定义", "en": "Nielsen Norman Group: The Definition of User Experience (UX)" }, "href": "https://www.nngroup.com/articles/definition-user-experience/" }, { "label": { "zh-Hans": "MDN 术语表：UX", "en": "MDN Web Docs Glossary: UX" }, "href": "https://developer.mozilla.org/en-US/docs/Glossary/UX" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "vc", "url": "https://nexttoken.tv/wiki/terms/vc", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/vc.json", "name": { "zh-Hans": "风险投资（VC）", "en": "Venture Capital (VC)" }, "summary": { "zh-Hans": "风险投资（VC）指专业投资机构向高成长潜力但同时伴随高失败风险的早期公司投入资金、换取股权的投资方式，常按种子轮、A 轮等阶段进入。", "en": "Venture capital (VC) is a form of financing in which professional investment firms put money into early-stage companies that have high growth potential — and a high risk of failure — in exchange for equity, often entering at stages such as seed or Series A." }, "aliases": [ "VC", "创投", "风险投资", "Venture Capital" ], "sources": [ { "label": { "zh-Hans": "维基百科：风险投资", "en": "Wikipedia: Venture capital" }, "href": "https://en.wikipedia.org/wiki/Venture_capital" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "vfx", "url": "https://nexttoken.tv/wiki/terms/vfx", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/vfx.json", "name": { "zh-Hans": "视觉特效（VFX）", "en": "Visual Effects (VFX)" }, "summary": { "zh-Hans": "视觉特效（VFX）指在实拍之外，通过合成、计算机生成图像（CGI）等手段在后期制作中创造或改变影像的技术，广泛用于影视与广告。3D 计算机图形是 VFX 的核心工具之一。", "en": "Visual effects (VFX) refers to creating or altering imagery in post-production through compositing, computer-generated imagery (CGI) and related techniques beyond what was captured on set, widely used in film and advertising. 3D computer graphics are one of its core tools." }, "aliases": [ "VFX", "视效", "视觉特效", "Visual Effects" ], "sources": [ { "label": { "zh-Hans": "维基百科：视觉特效", "en": "Wikipedia: Visual effects" }, "href": "https://en.wikipedia.org/wiki/Visual_effects" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "vibe-coding", "url": "https://nexttoken.tv/wiki/terms/vibe-coding", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/vibe-coding.json", "name": { "zh-Hans": "Vibe Coding", "en": "Vibe Coding" }, "summary": { "zh-Hans": "Vibe coding 由 Andrej Karpathy 于 2025 年 2 月提出，指主要用自然语言向大模型描述需求、由模型生成代码、开发者凭对话迭代而不逐行审读代码的编程方式。它适合快速出原型，但带来可维护性与安全方面的争议。", "en": "Vibe coding, coined by Andrej Karpathy in February 2025, describes a way of building software where you state what you want in natural language, let a large model generate the code, and iterate through conversation without reading every line. It speeds up prototyping but is debated for maintainability and security." }, "aliases": [ "氛围编程" ], "sources": [ { "label": { "zh-Hans": "维基百科：Vibe coding", "en": "Wikipedia: Vibe coding" }, "href": "https://en.wikipedia.org/wiki/Vibe_coding" }, { "label": { "zh-Hans": "Andrej Karpathy 提出该词的帖子", "en": "Andrej Karpathy's post coining the term" }, "href": "https://x.com/karpathy/status/1886192184808149383" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "virtual-machine", "url": "https://nexttoken.tv/wiki/terms/virtual-machine", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/virtual-machine.json", "name": { "zh-Hans": "虚拟机（VM）", "en": "Virtual Machine (VM)" }, "summary": { "zh-Hans": "虚拟机（VM）是通过虚拟化层（Hypervisor）在一台物理计算机上模拟出的、拥有独立操作系统和应用环境的软件计算机。多台虚拟机可以共享同一物理硬件的资源，同时保持相互隔离。", "en": "A virtual machine (VM) is a software-based computer emulated by a virtualization layer (hypervisor) on a physical machine, running its own operating system and applications. Multiple VMs can share the resources of the same physical hardware while remaining isolated from one another." }, "aliases": [ "VM", "虚拟机器", "虚拟机", "Virtual Machine" ], "sources": [ { "label": { "zh-Hans": "维基百科：Virtual machine", "en": "Wikipedia: Virtual machine" }, "href": "https://en.wikipedia.org/wiki/Virtual_machine" }, { "label": { "zh-Hans": "Red Hat：What is a virtual machine?", "en": "Red Hat: What is a virtual machine?" }, "href": "https://www.redhat.com/en/topics/virtualization/what-is-a-virtual-machine" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "vpn", "url": "https://nexttoken.tv/wiki/terms/vpn", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/vpn.json", "name": { "zh-Hans": "虚拟专用网络（VPN）", "en": "Virtual Private Network (VPN)" }, "summary": { "zh-Hans": "VPN 通过公共网络建立逻辑上的专用连接，常以加密隧道连接设备与远程网络或出口服务器。", "en": "A VPN establishes a private logical connection over a public network, commonly using an encrypted tunnel to a remote network or gateway." }, "aliases": [ "VPN", "虚拟专用网络" ], "sources": [ { "label": { "zh-Hans": "Cloudflare: What is a VPN?", "en": "Cloudflare: What is a VPN?" }, "href": "https://www.cloudflare.com/en-gb/learning/access-management/what-is-a-vpn/" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "vps", "url": "https://nexttoken.tv/wiki/terms/vps", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/vps.json", "name": { "zh-Hans": "虚拟专用服务器（VPS）", "en": "Virtual Private Server (VPS)" }, "summary": { "zh-Hans": "VPS 是通过虚拟化技术在物理服务器上划分出的、专属单个用户的虚拟机，拥有独立操作系统、资源配额与管理员权限，但物理硬件与其他租户共享。", "en": "A VPS is a virtual machine carved out of a physical server and dedicated to a single user, with its own operating system, resource quota and administrator access, while the physical hardware is shared with other tenants." }, "aliases": [ "VPS", "VPS 主机", "虚拟专用服务器", "Virtual Private Server" ], "sources": [ { "label": { "zh-Hans": "维基百科：虚拟专用服务器", "en": "Wikipedia: Virtual private server" }, "href": "https://en.wikipedia.org/wiki/Virtual_private_server" }, { "label": { "zh-Hans": "Microsoft Azure：什么是虚拟机", "en": "Microsoft Azure: What is a virtual machine" }, "href": "https://azure.microsoft.com/en-us/resources/cloud-computing-dictionary/what-is-a-virtual-machine" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "vr", "url": "https://nexttoken.tv/wiki/terms/vr", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/vr.json", "name": { "zh-Hans": "虚拟现实（VR）", "en": "Virtual Reality (VR)" }, "summary": { "zh-Hans": "虚拟现实（VR）是用计算机构造并呈现完全虚拟环境的技术，用户通常借助头戴显示器等设备沉浸其中，视野随头部与身体动作实时变化。它以替换真实感官输入为特征。", "en": "Virtual Reality (VR) is a technology that builds and presents an entirely synthetic environment, usually experienced through a head-mounted display, with the view changing in real time as the head and body move. Its hallmark is replacing the user's real sensory input." }, "aliases": [ "VR", "虚拟现实", "Virtual Reality" ], "sources": [ { "label": { "zh-Hans": "维基百科：虚拟现实", "en": "Wikipedia: Virtual reality" }, "href": "https://en.wikipedia.org/wiki/Virtual_reality" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "wasm", "url": "https://nexttoken.tv/wiki/terms/wasm", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/wasm.json", "name": { "zh-Hans": "WebAssembly（Wasm）", "en": "WebAssembly (Wasm)" }, "summary": { "zh-Hans": "WebAssembly（缩写 Wasm）是一种面向栈式虚拟机的二进制指令格式，可在浏览器等沙箱环境中以接近原生的速度执行。它让 C、C++、Rust 等语言的代码能够编译后在网页与服务器等运行环境中使用。", "en": "WebAssembly (Wasm) is a binary instruction format for a stack-based virtual machine that runs in sandboxed environments such as browsers at near-native speed. It lets code written in languages like C, C++ and Rust be compiled and used on the web and in server-side runtimes." }, "aliases": [ "WASM", "Wasm", "WebAssembly" ], "sources": [ { "label": { "zh-Hans": "WebAssembly 官方站点", "en": "WebAssembly official site" }, "href": "https://webassembly.org/" }, { "label": { "zh-Hans": "MDN：WebAssembly 文档", "en": "MDN: WebAssembly docs" }, "href": "https://developer.mozilla.org/en-US/docs/WebAssembly" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "web-2", "url": "https://nexttoken.tv/wiki/terms/web-2", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/web-2.json", "name": { "zh-Hans": "Web 2.0", "en": "Web 2.0" }, "summary": { "zh-Hans": "Web 2.0 是 2004 年前后由 O'Reilly Media 推广的概念，指以用户生成内容、参与式社区和网站间开放协作为特征的互联网阶段。网页从静态文档转变为用户读写与互动的平台。", "en": "Web 2.0 is a concept popularized by O'Reilly Media around 2004 for the phase of the web marked by user-generated content, participatory communities and open collaboration between sites. The web shifted from static documents to platforms that users read from and write to." }, "aliases": [ "Web2.0" ], "sources": [ { "label": { "zh-Hans": "O'Reilly：What Is Web 2.0（2005）", "en": "O'Reilly: What Is Web 2.0 (2005)" }, "href": "https://www.oreilly.com/pub/a/web2/archive/what-is-web-20.html" }, { "label": { "zh-Hans": "维基百科：Web 2.0", "en": "Wikipedia: Web 2.0" }, "href": "https://en.wikipedia.org/wiki/Web_2.0" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "web-crawler", "url": "https://nexttoken.tv/wiki/terms/web-crawler", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/web-crawler.json", "name": { "zh-Hans": "网络爬虫", "en": "Web crawler" }, "summary": { "zh-Hans": "网络爬虫是自动发现、访问并提取网页信息的程序，常用于搜索索引与资料收集。", "en": "A web crawler automatically discovers and retrieves web pages, often for search indexing or information collection." }, "aliases": [ "爬虫", "Web Crawler" ], "sources": [ { "label": { "zh-Hans": "Google · Crawlers and fetchers", "en": "Google · Crawlers and fetchers" }, "href": "https://developers.google.com/crawling/docs/crawlers-fetchers/overview-google-crawlers" } ], "lastVerifiedAt": "2026-10-25" }, { "schemaVersion": 1, "entityType": "term", "id": "webgl", "url": "https://nexttoken.tv/wiki/terms/webgl", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/webgl.json", "name": { "zh-Hans": "WebGL", "en": "WebGL" }, "summary": { "zh-Hans": "用于在浏览器中绘制硬件加速图形的 Web API 标准。", "en": "A Web API standard for hardware-accelerated graphics in browsers." }, "aliases": [], "sources": [ { "label": { "zh-Hans": "参考资料", "en": "Reference" }, "href": "https://www.khronos.org/webgl/" } ], "lastVerifiedAt": "2026-11-09" }, { "schemaVersion": 1, "entityType": "term", "id": "webhook", "url": "https://nexttoken.tv/wiki/terms/webhook", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/webhook.json", "name": { "zh-Hans": "事件通知（Webhook）", "en": "Webhook" }, "summary": { "zh-Hans": "Webhook 是事件发生时由发送方主动向预先配置的 URL 发送 HTTP 请求的通知方式，常用于连接两个系统。", "en": "A webhook sends an HTTP request to a configured URL when an event occurs, allowing one system to notify another." }, "aliases": [ "网络钩子" ], "sources": [ { "label": { "zh-Hans": "GitHub Docs: About webhooks", "en": "GitHub Docs: About webhooks" }, "href": "https://docs.github.com/en/webhooks/about-webhooks" } ], "lastVerifiedAt": "2026-10-20" }, { "schemaVersion": 1, "entityType": "term", "id": "wi-fi", "url": "https://nexttoken.tv/wiki/terms/wi-fi", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/wi-fi.json", "name": { "zh-Hans": "Wi-Fi", "en": "Wi-Fi" }, "summary": { "zh-Hans": "Wi-Fi 是基于 IEEE 802.11 标准系列的无线局域网技术，由 Wi-Fi 联盟负责商标与认证。它让手机、电脑等设备通过无线路由器接入网络，是家庭与公共场所最常用的上网方式之一。", "en": "Wi-Fi is a wireless local area network technology based on the IEEE 802.11 family of standards, with the Wi-Fi Alliance handling trademark and certification. It lets phones, laptops, and other devices connect through wireless routers and is among the most common ways to access networks at home and in public spaces." }, "aliases": [ "WiFi", "IEEE 802.11", "无线局域网" ], "sources": [ { "label": { "zh-Hans": "维基百科：Wi-Fi", "en": "Wikipedia: Wi-Fi" }, "href": "https://en.wikipedia.org/wiki/Wi-Fi" }, { "label": { "zh-Hans": "Wi-Fi 联盟：Discover Wi-Fi", "en": "Wi-Fi Alliance: Discover Wi-Fi" }, "href": "https://www.wi-fi.org/discover-wi-fi" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "workflow", "url": "https://nexttoken.tv/wiki/terms/workflow", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/workflow.json", "name": { "zh-Hans": "工作流", "en": "Workflow" }, "summary": { "zh-Hans": "按预定义步骤编排任务的技术流程；在 AI 语境中，工作流指由开发者预先编排、模型沿固定路径执行的自动化方式，与自主决定步骤的智能体相对。", "en": "A process orchestrated through predefined steps; in the AI context, a workflow has developers prescribe the path and the LLM follow it, as opposed to an agent that decides its own steps." }, "aliases": [ "Workflow Automation" ], "sources": [ { "label": { "zh-Hans": "Anthropic：构建高效的智能体（工作流与智能体之辨）", "en": "Anthropic: Building effective agents (workflows vs agents)" }, "href": "https://www.anthropic.com/research/building-effective-agents" }, { "label": { "zh-Hans": "维基百科：工作流", "en": "Wikipedia: Workflow" }, "href": "https://en.wikipedia.org/wiki/Workflow" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "worktree", "url": "https://nexttoken.tv/wiki/terms/worktree", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/worktree.json", "name": { "zh-Hans": "工作树", "en": "Worktree" }, "summary": { "zh-Hans": "工作树（worktree）是 Git 中一个检出分支的工作目录。通过 git worktree 命令，同一个仓库可以在不同目录同时检出多个分支，各目录独立工作、共享同一份对象库。", "en": "A worktree is a working directory in Git with a branch checked out. With the git worktree command, one repository can have several branches checked out in different directories at the same time, each working independently while sharing the same object store." }, "aliases": [ "git worktree", "工作目录" ], "sources": [ { "label": { "zh-Hans": "Git 官方文档：git-worktree", "en": "Git official docs: git-worktree" }, "href": "https://git-scm.com/docs/git-worktree" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "x86", "url": "https://nexttoken.tv/wiki/terms/x86", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/x86.json", "name": { "zh-Hans": "x86", "en": "x86" }, "summary": { "zh-Hans": "x86 是源于 Intel 8086 处理器、以可变长度指令为特征的指令集体系结构家族，长期主导个人计算机与服务器市场。其后续扩展（如 64 位的 x86-64）在保持软件兼容性的同时不断扩大地址空间与指令集。", "en": "x86 is a family of instruction set architectures originating from Intel's 8086 processor, characterized by variable-length instructions and long dominance of personal computers and servers. Later extensions, such as the 64-bit x86-64, grew the address space and instruction set while preserving software compatibility." }, "aliases": [ "x86-64", "AMD64", "IA-32", "x86 架构" ], "sources": [ { "label": { "zh-Hans": "维基百科：x86", "en": "Wikipedia: x86" }, "href": "https://en.wikipedia.org/wiki/X86" } ], "lastVerifiedAt": "2026-10-11" }, { "schemaVersion": 1, "entityType": "term", "id": "zero-day", "url": "https://nexttoken.tv/wiki/terms/zero-day", "apiUrl": "https://nexttoken.tv/api/v1/wiki/terms/zero-day.json", "name": { "zh-Hans": "零日漏洞（0-Day）", "en": "Zero-day vulnerability" }, "summary": { "zh-Hans": "零日漏洞指防御方尚未知晓或尚无现成修补方案的软件、固件或硬件缺陷；利用它实施的攻击称为零日攻击。", "en": "A zero-day vulnerability is a hardware, firmware, or software flaw unknown to defenders or lacking an available fix; exploiting it is a zero-day attack." }, "aliases": [ "0-Day", "Zero-Day", "零日漏洞" ], "sources": [ { "label": { "zh-Hans": "NIST · Zero-day attack", "en": "NIST · Zero-day attack" }, "href": "https://csrc.nist.gov/glossary/term/zero_day_attack" } ], "lastVerifiedAt": "2026-10-25" } ] }