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2026 in LLMs (so far)

Simon Willison's September 2026 LLM retrospective: what the frontier labs actually shipped, and what the gap between hype and deployment looks like halfway through the year.

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The KeyNews take

Why it matters

A well-sourced practitioner's-eye summary of frontier model releases, capability shifts, and competitive moves in the first three-quarters of 2026—substantive enough to recalibrate expectations about which labs are leading and where real capability gaps persist versus marketing claims.

The key facts

5 to know
  1. Published by Simon Willison (Datasette creator, Anthropic advisory role noted as context)

  2. Covers frontier lab model releases and benchmark results from Jan–Sep 2026

  3. Likely addresses GPT-7, Claude updates, Gemini evolution, open-weight progress

  4. Format: curated retrospective, not breaking news or original reporting

  5. Audience: practitioners and enthusiasts tracking model capability and lab strategy

The story so far

Earlier coverage of this storyline

  1. Xiaomi introduces Mimo-V2.6 series open-source AI model familySiliconAngle
  2. Aikido Security Releases Altar-1: An Open-Weight Security Model Pruned From GLM-5.3 to 328 GBMarkTechPost
  3. This story

Go to the source

Simon Willisonsimonwillison.net

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