Week 21 Summary

Blogs, AI, Tech
Datasette, Llm, Css, Openclaw, Git, Open Source, Security, AI, Gov-Uk, Birds, Birdwatching, Los Angeles, Pycon Us, Llms, Gemini, Local Llms, Coding-Agents, Llm-Pricing, Generative-Ai, Prompt-Injection, Sqlite, Sandboxing, Artificial Intelligence, Privacy, Memory, Advertising

Simon Willison — Week of 2026-05-16 to 2026-05-22#

Highlight of the Week#

The most impactful milestone this week is the official announcement of Datasette Agent, merging Simon’s three years of work on his LLM library directly into Datasette. This conversational AI interface allows users to naturally interrogate their databases, boasting an extensible plugin architecture for charts, image generation, and secure code execution.

Key Posts#

[The last six months in LLMs in five minutes] · Source Simon shared annotated slides from his PyCon US 2026 lightning talk capturing a major inflection point in AI developer tooling. He highlights how coding agents crossed the threshold to become reliable daily drivers, and points to the astonishing capabilities of massive local models running on consumer hardware like Mac Minis.

Week 22 Summary

Blogs, AI, Tech
Artificial Intelligence, Privacy, Memory, Advertising, Css, Html, Screen-Readers, Web-Standards, Datasette, Llms, Open Source, Github-Issues, Security, Generative-Ai, Prompt-Injection, Coding-Agents, Openai, Anthropic, Sqlite, Claude, AI, Sql

Simon Willison — Week of 2026-05-22 to 2026-05-29#

Highlight of the Week#

This week’s most significant milestone is the release of Datasette 1.0a31, which fundamentally shifts the project’s paradigm by introducing UI support for executing write queries directly against the database. This officially bridges Datasette from a purely read-only tool to one that embraces secure data mutation, allowing developers to save and template insert, update, and delete operations.

Key Posts#

[I think Anthropic and OpenAI have found product-market fit] · Source Simon analyzes the shift in enterprise pricing to argue that AI coding agents have crossed the threshold into massive usage and real revenue generation. He points to Anthropic’s staggering $1.25 billion monthly compute spend and notes that labs are pivoting to capture enterprise value directly from heavy agent users rather than relying on middlemen.

2026-05-22

Blogs, AI, Tech
Artificial Intelligence, Privacy, Memory, Advertising

Simon Willison — 2026-05-22#

Highlight#

Simon highlights a fascinating economic ripple effect of the AI boom: an impending spike in consumer electronics prices due to silicon wafer capacity constraints. As AI data centers demand more High-Bandwidth Memory (HBM), manufacturers are shifting production away from standard consumer RAM, which is already threatening the availability of cheap smartphones globally.

Posts#

[The memory shortage is causing a repricing of consumer electronics] · Source Simon links to an excellent breakdown by David Oks explaining why devices using memory are about to get significantly more expensive. With only three major memory manufacturers operating with fixed wafer capacities, the explosive growth in AI data centers is pushing High-Bandwidth Memory (HBM) allocation from 2% to an expected 20% by the end of 2026. Because a single gigabyte of HBM consumes over three times the wafer capacity of standard consumer RAM (DDR/LPDDR), consumer device memory is severely constrained—an effect already hitting the sub-$100 smartphone market that is critical to regions like Africa and South Asia.