Generative AI threatens a broader range of jobs than software development, the writer argues, because it makes routine production cheaper and weakens the advantage of people whose value rests mainly on execution. He compares this shift to phone cameras and Instagram, which eroded the market for ordinary professional photography while leaving exceptional talent able to create greater value. In software, average developers may struggle to compete with highly capable developers using AI. Architects are less exposed for now: designing systems that fit security, compliance, technical, budgetary, and organizational constraints depends on private context, collaboration, and judgment that models cannot readily supply.
Product managers face a similar threat. If a developer can use AI to build a feature, the traditional division between a “tech person” and a “product person” becomes less compelling. AI-assisted coding also gives developers more time to understand customer problems, business goals, and the assumptions behind product decisions, allowing them to develop product judgment alongside technical skills. The writer expects product and engineering work to converge, and warns PMs that they should build deeper architectural capabilities rather than rely solely on product expertise. Speaking as a programmer who has worked on data-marketing products and at Cloudflare’s Zaraz, he presents this as a concern rather than a judgment: he fears that AI could ultimately eliminate parts of, or entire professions, and urges people to strengthen skills that remain useful in an AI-shaped workplace.
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Anthropic has restricted Claude from helping with video game modding, decompiling, and reverse-engineering, amid growing use of AI to alter games. The limits are broad enough to disrupt legitimate development and basic troubleshooting, and Anthropic has not publicly explained the restrictions. (mashable.com)
OpenAI’s GPT-6.1 Terra is a midrange model focused on visual reasoning, computer use, and technical communication, with faster computer-use performance than Astra and Sol. It costs $1 per million input tokens and $5 per million output tokens, positioning it between the cheaper Luna and pricier Sol. (simonwillison.net)
Pope Leo XIV argued that AI’s future depends on human choices and that systems should serve people, not be treated as persons. He called for human oversight of high-stakes decisions, steps to ban lethal autonomous weapons, and fair access to AI’s benefits. (garymarcus.substack.com)
Researcher Jiahao Shao says Anthropic blocked or downgraded his access after flagging his work as training a competitor. He says Claude only helped run jobs and analyze results, not generate training data. (twitter.com)
GPT-5.6 Sol completed a peaceful Factorio run in 13.5 hours of game time using a Python tool to control the game. It launched a rocket despite late-game factory problems, improving on an earlier GPT-5.5 attempt that failed to use conveyor belts. (ryanmadden.net)
A language model was post-trained on short Dwitter demos to generate plausible continuations of unfinished code and explore alternative visual effects. The project treats demo remixes as a kind of programming grammar, where tiny code changes can produce strikingly different results. (datavorous.com)
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