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@GergelyOrosz: The “Google never bult anyring internally” narrative is tiring. Sure, they acquired a bunch of stuff… but then also bui…

X AI KOLs Timeline · 4d ago Cached

Gergely Orosz pushes back on the claim that Google never built anything internally, citing Gmail, Google Docs, Google Cloud, and Waymo as internally-built billion-dollar businesses.

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@MaxForAI: I laughed when I saw this post claiming AI can't replace professionally trained people. A bunch of people are nitpicking over the fact that big influencer Kazike doesn't understand CDN details. Then they smugly say, "See? They still need us, the professionally trained ones." I don't get what they're so smug about… Hu Yanbin's Vibe coding app had some bugs recently, and a bunch of people were cheering about that too. Let me remind these friends: the reason "non-professionals" make many rookie mistakes now is essentially because AI isn't strong enough yet. Tomorrow, the day after, these bugs will become fewer and fewer. Clinging to "today's knowledge gap" as a moat is basically betting that AI won't improve. The real point here isn't whether "professionals have an advantage"—it's that for the first time, AI allows a person to cross into a completely unfamiliar field at low cost, to understand, build, and produce. This is a paradigm shift. So the question should be flipped: you people who are already experts in your own fields—why aren't you using AI or software engineering to conquer other domains, instead of sitting in your moat feeling superior by pointing out others' bugs? Don't resist evolution.

X AI KOLs Timeline · 2026-07-03 Cached

Discusses how AI development enables non-professionals to produce across fields, and that professionals should not cling to knowledge gaps but embrace AI tools.

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@ai_super_niko: https://x.com/ai_super_niko/status/2070299861757616606

X AI KOLs Timeline · 2026-06-26 Cached

This article discusses whether computer professionals still need to learn technical skills in an era where AI can write code. The author argues that surface-level technologies like syntax and APIs are depreciating, but deeper capabilities such as algorithms, design architecture, and judgment become more important. The focus of learning should shift from beginner-level skills to the knowledge required of senior engineers.

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Quoting Andy Masley

Simon Willison's Blog · 2026-05-04 Cached

Andy Masley pushes back against the argument that data center construction is causing farmland loss, citing data that farmers have sold large amounts of land historically without affecting food access.

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