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All AI news

3 today

Sep 28

Monday
  1. 2026 in LLMs (so far)

    On Friday I gave the closing keynote at the WeAreDevelopers World Congress North America in San Jose. I tied together the key trends from the past year into a chronological exploration of everything that happened in 2026. The video is on YouTube ; here are my annotated slides and notes to accompany the talk.

  2. Bluesky reply bot checker

    Tool: Bluesky reply bot checker Automated reply bots on Twitter are a scourge - as someone with a decent number of followers I attract a swarm of these, such that anything I post there attracts dozens of mindless automated replies. They've started manifesting on Bluesky as well. Unlike Twitter, Bluesky still has a freely available and useful API.

Sep 27

Sunday
  1. Kākāpō Party

    Tool: Kākāpō Party I presented a closing keynote for the WeAreDevelopers World Congress North America yesterday. As a STAR moment I decided to weave in references to the record breaking kākāpō breeding season we had in 2026.

Sep 26

Saturday
  1. Quoting John Gruber

    Simon Willison quotes John Gruber's comments on Meta Muse, saying Muse is getting a lot of attention for its technical breakthrough and ease of installation and use, with each user getting their own entire persistent Linux VM running in Meta's cloud, presented as a cute mascot. Gruber calls it the first consumer-accessible agentic AI system, but says consumers may not understand its power and danger, especially if it's running on your Mac.

  2. NarrateAI: production-ready LLM quality assurance on Amazon Bedrock

    NarrateAI delivers production-ready LLM quality assurance on Amazon Bedrock. This post details five techniques—adaptive pipeline orchestration, cross-account multi-model failover, real-time streaming evaluation, composite evaluation, and data accuracy verification—that reach about 99% numerical accuracy while streaming responses in real time.

Sep 25

Friday
  1. Note on 24th September 2026

    The more time I spend working with coding agents, the more convinced I am that they make software engineering even harder. We can do amazing things with them, but unlocking their full potential requires extraordinary discipline and knowledge.

  2. Speaker-labeled transcription with WhisperX on SageMaker AI

    The AWS WhisperX Deep Learning Container packages Whisper, wav2vec2 forced alignment, and speaker diarization into a GPU-ready image. Learn how to deploy it to Amazon SageMaker AI real-time and asynchronous endpoints for word-level, speaker-labeled transcription, plus the production details that matter: the GPU AMI pin, scaling, and cost controls.

  3. Build a multi-account AI agent with AgentCore Gateway and MCP

    Build a multi-account architecture that keeps each team's data in its own AWS account while giving AI agents a unified way to query across them. A central platform account runs the agent using Amazon Bedrock AgentCore Gateway and MCP, while line-of-business accounts expose their data as MCP servers with secure cross-account access and fine-grained authorization.

Sep 24

Thursday

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