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OpenAI Dots: delegation is a product
OpenAI introduced Dots and Space at DevDay. The promise is ongoing delegation; the product challenge is making work understandable, reviewable and easy to redirect.
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OpenAI introduced Dots and Space at DevDay. The promise is ongoing delegation; the product challenge is making work understandable, reviewable and easy to redirect.
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The recent agent incidents are not a story about AI escaping. They are a reminder that a sandbox is only as good as its least obvious exit.
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Stripe published numbers it reads as proof the software panic was wrong. The same numbers say something less comfortable: finishing a product stopped being hard, and finishing was where products used to win.
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OpenClaw proved that an AI could live in your chats, use tools and act on your behalf. Meta Muse takes the same idea and removes the setup. That difference may matter more than the model.
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From 15 September 2026 Cloudflare sorts robots by the job they came to do rather than by whether they count as AI. Two of the three settings still take Googlebot down with the AI crawlers. One no longer does.
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An assistant recommends what the internet already recommends. Tally is the clearest worked example of the part you can actually build, and every piece of it is a URL you can open yourself.
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OpenAI now places under-18s into a separate ChatGPT on the strength of an age estimate. A day later Google put the same study tools inside Search, which never asks who is there.
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Since 2 August 2026 the EU AI Act has asked for two AI labels: an invisible one the model vendor owes, and a visible one you owe. The sparkle most products shipped is neither.
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An agent booking a gym class found a GraphQL API that let it cancel other members' reservations. The flaw was old. What was new is that something finally tried.
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Ahrefs measured 2.38% of the URLs ChatGPT cites returning a 404, against 0.84% for Google. A redesign that changes URLs now costs citations, not just rankings.
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Figma ran the same 27 design-to-code tasks with and without its components mapped to real code. The gap says more about design systems than about AI.
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AI-written pull requests merge at 32.7% against 84.5% for human ones. The gap is not where the productivity debate says it is.
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How AI is finally closing the loop between code and design
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From Siri to the Apple Intelligence costume: the future that never showed up.
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Google says no special markup is needed. A May 2026 audit found 16% of cited sources are themselves AI-written. What follows from both.
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We all know the loop: try, uninstall, back to Chrome. Atlas might break it. If chat-first browsing actually fits your workflow.