Simon Willison sends September sponsors-only newsletter
Simon Willison released the September edition of his sponsors‑only monthly newsletter. The newsletter covers a range of AI topics, including new Fable class models, a pricing war, 3D graphics with Blender and pixel art, LLMs for mathematics, accidental cyberattacks, the vulnapocalypse for Datasette, and his software releases. Subscribers pay $10/month for full access, while a free preview of the…
Key points
- Simon Willison releases sponsors‑only September newsletter
- Newsletter covers Fable models, pricing war, 3D graphics, LLM math, cyberattacks
- Subscription costs $10/month for full access
The newsletter is aimed at sponsors and offers early insights into emerging AI trends and challenges. It highlights security concerns and pricing dynamics that could influence the broader AI ecosystem.
Readers can access the September edition by becoming a sponsor or renewing their subscription, and can view a preview of the August edition for free.
September sponsors-only newsletter
Simon Willison · 3 October 2026Loading the full article…
This text was published by Simon Willison and written by Simon Willison. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
More in Business & Funding
All →- Microsoft shares rose 37.5% in Q3 2026, adding $1 trillion to market cap · 4 src
- A nearly $12 billion deal between Akamai and Anthropic may benefit Nvidia indirectly · 1 src
- Nvidia authorizes $150B buyback increase, total $235B through fiscal 2028 · 13 src
- Anthropic may become largest IPO, could value at $2 trillion · 6 src
- Barclays analyst estimates Nvidia could generate $401 billion in hyperscaler revenue in 2027 · 6 src
Comments
via GitHub Discussions