I was a guest on Lenny Rachitsky’s podcast, in a new episode titled An AI state of the union: We’ve passed the inflection point, dark factories are coming, and automation timelines. It’s available on YouTube, Spotify, and Apple Podcasts. Here are …
Gemma 4: Byte for byte, the most capable open models
Four new vision-capable Apache 2.0 licensed reasoning LLMs from Google DeepMind, sized at 2B, 4B, 31B, plus a 26B-A4B Mixture-of-Experts.
Google emphasize “unprecedented level of intelligence-p…
Release: llm-gemini 0.30
New models gemini-3.1-flash-lite-preview, gemma-4-26b-a4b-it and gemma-4-31b-it. See my notes on Gemma 4.
Tags: gemini, llm, gemma
I just sent the March edition of my sponsors-only monthly newsletter. If you are a sponsor (or if you start a sponsorship now) you can access it here. In this month’s newsletter:
More agentic engineering patterns
Streaming experts with MoE models…
Release: datasette-llm 0.1a6
The same model ID no longer needs to be repeated in both the default model and allowed models lists – setting it as a default model automatically adds it to the allowed models list. #6
Improved documentation for …
Release: datasette-enrichments-llm 0.2a1
The actor who triggers an enrichment is now passed to the llm.mode(… actor=actor) method. #3
Tags: enrichments, llm, datasette
Release: datasette-extract 0.3a0
Now uses datasette-llm to manage model configuration, which means you can control which models are available for extraction tasks using the extract purpose and LLM model configuration. #38
Tags: …
Release: datasette-enrichments-llm 0.2a0
This plugin now uses datasette-llm to configure and manage models. This means it’s possible to specify which models should be made available for enrichments, using the new enrichments purpose.
…
Release: datasette-llm-usage 0.2a0
Removed features relating to allowances and estimated pricing. These are now the domain of datasette-llm-accountant.
Now depends on datasette-llm for model configuration. #3
Full prompts and responses and t…
Release: datasette-llm 0.1a5
The llm_prompt_context() plugin hook wrapper mechanism now tracks prompts executed within a chain as well as one-off prompts, which means it can be used to track tool call loops. #5
Tags: llm, data…