Library

Models

The systems themselves: assistants, open weights, and specialists. Name the layer before you repeat the claim.

Latest

  1. GPT-6 arrives in ChatGPT, and it can draw the screenHigh impact · October 7, 2026 · OpenAI is rolling GPT-6 into ChatGPT, and a reply can include buttons, forms, charts, and small tools.
  2. EmbeddingGemma 2 searches text, images, audio, and video on the deviceHigh impact · October 6, 2026 · Google DeepMind released a 740-million-parameter open model that embeds text, images, audio, and video on a device.

Key companies and projects

  • OpenAI
  • Google DeepMind
  • Anthropic
  • Meta

Related tags

  • open-weights
  • multimodal
  • embeddings
  • OpenAI
  • ChatGPT
  • Google
  • on-device

Name the layer

A product, an API model, and an open weight file can share a brand and still be different systems. GPT-6 Sol and GPT-6 Luna shipped in the same week under one numeral, aimed at different ChatGPT tiers, while Work and Codex stayed on their previous models. When a claim says “the model,” ask which surface, which size, and which date.

Three layers cover most of what we file. Frontier assistants are the systems people talk to. Open weights are the systems a developer can run and inspect. Specialist models do one job well: embeddings, gene finding, speech, a world model. A briefing that only covers the first layer is a product blog.

What we record

For a model release we want the date, the lab, the parameter count or the tier names if parameters are withheld, the license, and where it runs. We also want what did not move. A chat launch that leaves the coding agent unchanged is part of the story.

Benchmarks stay attributed. “Best in class” is the lab’s sentence until someone else measures it. We would rather print the suite name and the delta, as with EmbeddingGemma 2’s reported MTEB Code move from 68.76 to 78.68, than a medal.