LLM optimization integration for Amazon SageMaker Python SDK

datasette-explain 0.2.2 ships explain plans on read-only stored-query pages, released after Simon Willison upgraded datasette.simonwillison.net to Datasette 1.0a40.

A llama.cpp fork implements Declarative Attention from arXiv:2609.02737 (Google DeepMind and KAIST AI), letting the model declare in its own output which context chunks it needs while the engine restricts what following tokens attend to. No scorer and no training are required — just prompting.

In a Royal Society of Arts conversation with Professor Hannah Fry, the Google DeepMind co-founder argues creativity and intuition are fundamental to scientific discovery and breakthrough ideas.

A r/LocalLLaMA thread asks whether users would buy a hypothetical Taalas consumer chip for $1,000 that runs Qwen3.8-27B at 7,000 tokens per second. The poster notes the chip would be locked to that model but would not become obsolete when Qwen4-27B launches.

Personal blog post argues against uncritical AI adoption, recounting a manager repeatedly telling the author they "need to drink the Kool-Aid." The piece traces the phrase's cult connotations and rejects faith in a possibly doomed idea for perceived high rewards.