NEXT TOKEN / WIKI

AI brands, products, people and terms.

A connected index of the brands, products, people and terms in Next Token conversations. Start with a name, then follow its relationships to other entries and episodes.

01 / Brands111brandsExplore collection 02 / Products347productsExplore collection 03 / People75peopleExplore collection 04 / Terms189termsExplore collection

01 / EXPLORE

Explore the collections.

A few entries from each collection. Every name leads to its own profile.

01 / 111

Brands

The organizations and brands behind the products and conversations.

OpenAIAn AI company developing foundation models, ChatGPT, Codex, and APIs for developers.AppleA technology company designing hardware including Mac and iPhone and software platforms including macOS and iOS.Z.aiAn AI company centered on the GLM model family, providing foundation models, developer services, and AI products for real-world workflows.ByteDanceA global technology company operating products and services including Feishu and Volcano Engine.

All brands

02 / 347

Products

Models, applications, agents and tools discussed on the show.

ZCodeZ.ai's agentic development environment for planning, coding, debugging and multi-agent collaboration.iPhoneApple's family of smartphones.BlenderAn open-source suite for 3D modeling OmarchyLinux distribution created by David Heinemeier Hansson, integrating development tools and AI agents with curated defaults and customization.

All products

03 / 75

People

Meet the co-hosts and the people mentioned in our conversations.

杨攀 Pan YANGCo-host · Founder of Bilink.ai; co-founder of RongCloud and SiliconFlow.歸藏 GuizangCo-host · AI creator and “super individual company” practitioner 橘子 OrangeCo-host · Founder of MarsWave, ListenHub, and ColaOS 向阳乔木 Xiangyang QiaomuCo-host · AI creator, serial entrepreneur, and co-author of AI Leadership

All people

04 / 189

Terms

Concepts, technical vocabulary and abbreviations from our conversations.

TokenA 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.Personal AgentAn agent that serves a single individual, builds up knowledge of that person's preferences and context, and handles everyday tasks on their behalf.Recursive Self-Improvement (RSI)RSI describes a loop in which a system improves itself and uses the resulting capability to support further improvement.AI SlopLow-quality digital content mass-produced with generative AI, typically created at volume to gain traffic, earn money or deceive people.

All terms

02 / FIND A THREAD

Follow a subject.