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#Trends

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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
  1. Chinese AI models are politically complex, not just government mouthpieces, study finds

    A study by Vals AI tested 25 AI models for alignment with Chinese government positions and found surprising results. Chinese models respond to political questions less uniformly than expected, and Western models occasionally adopt official Beijing positions too. The language of the prompt had an especially strong effect on the political slant of responses.

Oct 31

Saturday

Oct 30

Friday
  1. Pope Leo calls for the disarmament of AI: ‘Machines are tools, not persons’

    Pope Leo XIV says AI systems should be "disarmed," adding that humans "have the responsibility to guide, change and, when necessary, reject its applications." In Friday's Papal Address, Pope Leo encourages United Nations member states to "take concrete steps toward banning lethal autonomous weapons" during their meeting in Geneva next month.

  2. Silicon Valley wants you to invest in miracles

    Investing in any stock is kind of like gambling in the sense that you're betting your money on a company's future performance. But how do you bet on a technology that could, in the worst-case scenario, "pose catastrophic or existential risks to humanity," or best case, "bring forth an age of miracles"?

Oct 29

Thursday
  1. Creating AI value with enterprise context

    Across a business, any number of AI platforms, systems, and tools may be at work simultaneously—for example, AI-powered customer platforms, conversational assistants, and workflow and process automation tools. Each one is sophisticated, advanced, and quick to respond.

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.