Software infrastructure & libs, language design, sports programming/ICPC, concurrency & algorithms, math & quantitative finance. ex-project lead for @Kotlin

The hardest job of all is being a decent human being.
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Your periodic reminder that, by long-standing convention in computer science, 1..n means 1 through n, inclusive. Designing a programming language where it means something else is a huge mistake.
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“commit and push”. Burn tokens, baby, burn!
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RSI (recursive-self improvement) illustrated from a classic.
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the history of the domestic cat is the history of a species’s encounter with an alien superintelligence in which that superintelligence is quickly aligned and its forces used to secure superabundance and lasting prosperity
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Totally deranged recommendation. Humans understand complex systems in human terms. AI agents exhibit incredibly complex behavior. Of course we anthropomorphize them. It is one of our best tools for predicting and using them.
Artificial intelligence systems do not think, feel, want or understand. Avoid language that gives them human characteristics. This is called anthropomorphizing, when we ascribe human traits, emotions or behaviors to non-human things, such as animals or inanimate objects. Instead, explain what a system does, how well it performs, who built it and who could be affected by it. apnews.com/article/openai-sa…
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It’s easy to hope for something. The harder question is what you’re doing to make it happen.
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Powerful people imagine a future. Organizations reduce it to KPIs. Everyone optimizes for the numbers, and the world becomes what we measured instead of what we meant.
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My new hobby.
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AI can write concurrent code. You still need to understand why it works, and when it doesn't. After 20+ years teaching concurrent and distributed programming, my advice hasn't changed: learn by doing.
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Indigestibility of LLM-written technical texts still remains an open problem.
Interesting comment in /r/mathematics on a talk by a human mathematician who had been working on navier stokes about the openai proof
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I lived in the USSR. It fell. Capitalism shapes the world, China included. But I’d still rather build the humane, abundant future of Soviet utopian sci-fi than live in the corporate dystopias of later Western cyberpunk.
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We're just uncovering everything you can now do with AI in your life. So, I've bought a hot new board game, no translated rulebook yet. In 15 mins Codex got me all 12 pages of the original PDF translated, with all layout and original graphics fully preserved. Wild.
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Rhetoric 101: hide an assumption inside a question. “Have you stopped cheating at board games?” Answer yes or no, and you seem to admit you cheated. Challenging the premise isn’t avoiding the question. It’s refusing to fall into the trap.
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Shame. Such a horrible take, given the open spirit in which Chinese AI labs operate, sharing their knowledge and advancing scientific knowledge of the world. Xenophobia and ethnic stereotypes will destroy the world more surely than AI.
This is why it's a good thing that American labs are in the lead. If Chinese labs were, their employees wouldn't be able to warn us about threats. But Chinese labs will encounter the same threats within a year, in complete silence.
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Mind blown. But how?
4397328654844826923795068102505872571721883526553349659561256924505973939597593482272505698004801207988043088656411102133523080581 divides RSA-260
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PSA: OpenAI’s Navier-Stokes breakthrough is a purely mathematical advance. Amazing for math. But it does not open a road to better artificial hearts, preventing blood clots, or solving any other practical engineering problems. Don’t believe pseudo-science hype-spreaders.
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“Dear brothers, why torment yourselves and others by trying to change people? No one is called to reform others, nor can anyone do so. We are called only to improve ourselves, and we can and must.” (c) Leo Tolstoy, 7 Sept. 1907, age 79
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Astra is definitely better at spatial reasoning, but it is still lazy. Given a hard task to create a photo-realistic 3D model of a complex multi-object environment, it does some sloppy job looking kind of similar to the original, then stops openly admitting it is far from realism
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