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Nov 3

Tuesday

Nov 2

Monday
  1. Quoting Kyle Kingsbury

    Kyle Kingsbury, author of Jepsen, says in his test results for ParticleDB 1.1.4 that the use of LLMs is eroding trust in documentation, in software and in the organisations that produce them. The signals once relied on as markers of a mature system are now easier to counterfeit, he argues, and engineers may come to treat any new software project with suspicion. He also asks how maintainers can ensure correct software and accurate documentation in the age of LLMs, and how they can demonstrate that quality to users.

Nov 1

Sunday

Oct 31

Saturday

Oct 30

Friday

Oct 29

Thursday
  1. Quoting Ben Hylak

    Ben Hylak argues that every product he uses should be a headless MCP feeding into an agent, so users never have to think about what lies underneath — except for his own product, whose customers love its UI.

  2. Quoting Ted Sanders

    OpenAI's Ted Sanders explains that while LLM performance is multidimensional, much of the variation is explained by a single variable: model size. Bigger models are more performant and reliable, cost more per token, and have better recall of esoteric facts.

Oct 28

Wednesday
  1. The October inflection point for vibe game development

    I've written before about how November 2025 was an inflection point for coding agents - the point where Opus 4.5 and GPT-5.1 crossed a tipping point that meant their respective coding agents became reliable daily drivers for software engineers. I think we've reached a new inflection point in October 2026, and this time it's for vibe coding computer games .

  2. Pairing industrial AI autonomy and human control

    The latest iteration of a legacy Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a world-renowned, independent media company whose insight, analysis, reviews, interviews and live events explain the newest technologies and their commercial, social and political impact.

  3. Quoting Terk Terkowitz

    In an update from Amazon engineering leadership on the developer's role in the age of AI, Terk Terkowitz says that if current AI tooling does not benefit your work, that is a finding, not a failing. He advises documenting why, sharing it with your community of peers, bringing it to your manager and working to find solutions, and says an engineer who can explain where AI does not yet help their work is demonstrating the judgement being asked for.

Oct 27

Tuesday
  1. Quoting Jason Koebler

    Because big tech platforms essentially do not have customer support and make it impossible for their users to contact a human, many people experiencing run-of-the-mill tech problems have turned to ChatGPT. And, increasingly, ChatGPT is telling people that have normal tech support problems that they have discovered something journalistically notable and that 404 Media, specifically, can help them.

Oct 26

Monday

Oct 25

Sunday
  1. Blue Planet III is keeping the rough edges in the age of AI

    BBC's Blue Planet III is looking to prove its authenticity by leaving in the less-than-perfect shots. Previous incarnations of the nature series were defined by their gorgeous, crystal-clear footage that seemed almost too good to be real. But one dead giveaway of AI is when things look too polished and seamless.

Oct 24

Saturday
  1. The iPhone Duo should have been an iPad

    We gave the iPhone Duo a 7 /10. But that wasn't always the score we planned, and it might not be the right score forever. Such are the challenges of reviewing - and assessing - a big, new idea about the most popular smartphone in history.

Oct 23

Friday