Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7

I put together these annotated slides from my five minute lightning talk at PyCon US 2026, using the latest iteration of my annotated presentation tool. # I presented this lightning …

My point is not to say that the foundations of large language models and intersectionality are the same. My point is to say that if you understand that things (people) are not static and that their position of influence is dependent on a whole host of inter-related factors and actors, often outside of their control, then you basically understand at a foundational level how large language models work even if the maths and the statistics elude you.

OpenAI Launches $4B Consulting Subsidiary DeployCo. Anthropic and SpaceX/xAI Agree to Major Colossus 1 Compute Deal. Curated AI news timeline.

This week we’re linking together links that give a bit of a picture of some stuttering in the AI world. We’ve got Firefox overhyping Mythos. We’ve got indications that GenAI vendors think they need to show some way of putting the right numbers on the balance sheet and look at simpler times. Both in the past and in the future. Let’s dive (no not delve) in. Days not numbered We start with a look at a Firefox blog post that caught people’s imagination.

Speed, cost, and predictability are starting to matter more to me than top-end reasoning.

My point is not to say that the foundations of large language models and intersectionality are the same. My point is to say that if you understand that things (people) are not static and that their position of influence is dependent on a whole host of inter-related factors and actors, often outside of their control, then you basically understand at a foundational level how large language models work even if the maths and the statistics elude you.

learning technologies, design, and other things

Developments in biology, robotics, web, and more

Yesterday, Claude Code disappeared from the $20/month subscription tier on Anthropic’s website. Well, for some people. Then it came back. As Simon Willison put it, it’s all very confusing.