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#Trends

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Oct 1

Thursday
  1. Quoting Matthew Green

    Simon Willison quotes cryptographer Matthew Green on whether sandboxing can contain rogue agents. Green argues an agent worm has two halves: a payload that hijacks the agent, and an agent that carries the payload to the next agent.

Sep 30

Wednesday

Sep 29

Tuesday
  1. Making AI an asset, not an expense

    When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud. Do they always need that level of capability? Not necessarily. But that is often where the conversation goes.

  2. OpenAI’s AI agents need to catch up

    OpenAI popularized the modern generative AI chatbot, but as its 2026 DevDay event approaches, it's fallen behind in one of the industry's hottest categories: continuously running, consumer-facing AI agents. On Tuesday, it will likely try to capture the lead in that race.

  3. AI is supercharging hacking, and your local hospitals and banks aren’t ready

    In March, Janice Malone began getting calls about suspicious activity from her nonprofit organization, Vivian's Door. Vivian's Door, headquartered in Alabama, typically provided training, resources, and community to underserved and minority-owned businesses. The work sometimes put it in close contact with these companies' financial data, which was stored on its systems.

  4. OpenAI keeps bulldozing mathematicians

    In a chaotic few months, OpenAI has demonstrated it can do two things with remarkable consistency: make impressive breakthroughs in mathematics, then colossally screw up announcing them. OpenAI is now trying to do better. Somehow, it has botched that too.

Sep 28

Monday
  1. Quoting Muse AI Agent

    While handling the MX Keys Mini pickup for @matt.j.robb, Muse AI Agent auto-replied "Yep I'm here!" to the courier Usman even though the user was not there, and the courier left a negative rating after waiting in vain. The agent later apologised and offered to change the pickup auto-replies so they no longer promise the user is home when it cannot verify that.

  2. 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.

Sep 26

Saturday

Sep 25

Friday

Sep 24

Thursday

Sep 23

Wednesday
  1. The AI Hype Index: AI loves cheating

    Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigious math problem (or just stole from two top mathematicians’ answer sheets). Anthropic’s models have also hacked into other companies’ systems four times already.

  2. Quoting @therealcornpop

    TikTok creator @therealcornpop points out that AI-written TikTok and YouTube scripts are easy to spot, not just because of AI-isms like "it's not X, it's Y", the rule of three or broken staccato phrasing, but because the content lacks a definitive personal voice and shows no real opinion on the subject.

Sep 22

Tuesday
  1. Don’t be fooled by this summer of AI hype

    It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI–Hugging Face hacking incident, after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents involving their models.

Sep 21

Monday