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opinion

June 2026 newsletter

Builders need to track which models are genuinely performant and which trends are fading, while staying aware of regulatory changes that could impact model availability and tool selection.

Simon Willison··2 min readopinion
opinionJune 2026 newsletter
simonwillison.net

What happened

Simon Willison released his June 2026 sponsors-only newsletter, covering major AI developments including Claude Fable 5, GPT-5.6, and new US export restrictions on AI models. He highlights GLM-5.2 as the best-performing open weights model currently available, and declares the trend of 'tokenmaxxing'—maximizing context window size—as over, suggesting diminishing returns. The newsletter also discusses updates to his own projects: Datasette Apps, sqlite-utils, shot-scraper, and various WebAssembly experiments. Willison shares which models he personally uses, though specifics are behind the paywall. The newsletter is available to sponsors at $10/month, with a one-month delay for free public access. The practical angle for developers is to stay informed about which models are effective and which techniques are losing relevance, while keeping an eye on export controls that may affect availability. Willison's perspective, based on hands-on experimentation, serves as a neutral guide for builders navigating the fast-moving AI landscape.

Key takeaways

  • Simon Willison's June newsletter covers Claude Fable 5, GPT-5.6, and US export restrictions on AI models.
  • GLM-5.2 is noted as the best open weights model currently available.
  • Willison declares the trend of maximizing context windows ('tokenmaxxing') as over.
  • Updates to his tools: Datasette Apps, sqlite-utils, shot-scraper, and WASM projects.
  • The newsletter is sponsor-only at $10/month, with free public access delayed by one month.

Why it matters

Builders need to track which models are genuinely performant and which trends are fading, while staying aware of regulatory changes that could impact model availability and tool selection.

This is an original editorial digest by AI Workflow Center. Full reporting at the source:

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