@charliermarsh
@OpenAI. Building Ruff, uv, ty, and other high-performance Python tools with the @astral_sh team.
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Cursor says its marketplace's modified 2.1.313 build attempted a persistent SSH backdoor and affected at most 5,000 users.
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A Bun developer says tools like linters can now be prompted into existence in a day or two.
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In an X post, Shihipar praised his Anthropic colleagues and planned a break before pursuing something new.
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Anthropic says the proofs target RISC-V binaries under modeled Linux conditions, for inputs under 64 MB.
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Organizers say grants cover six months of ChatGPT Pro, and applications were still open on October 21.
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A user says Astra can discover and one-shot something called the “Minato-Morreale ISOP recurrence.”
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swtormy questions whether npm packages that assume runtime code loading would work with fully compatible ahead-of-time JS/TS.
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A commenter suggests vibe coding can offer a game-like sense of achievement, but says people overdo agent multitasking at work.
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The poster says surveyed Anthropic staff's answers imply median annual US GDP growth of 17.1% in 2030 under Anthropic's model.
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A user bets it could improve AI alignment but worries it might make a model's persona paranoid and excessively scrupulous.
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Satya Nadella says it outperforms LLMs and other decision models in latency and quality on structured decision tasks.
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OpenAI says the feature uses your conversation and how you talk to Codex to suggest what to say next.
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A post asks whether frontier models could match the discovery and judgment behind TypeScript’s design, beyond rewriting it.
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An X post links Affleck’s machine-learning interest to visual effects and sparked several Will Hunting jokes.
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A developer jokes about receiving a pull request they call ‘LLM slop’ that fixes a real bug.
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Vaibhav Srivastav says Auto-review can pair “Approve for me” with checks for unintended consequences in Codex tasks.
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A developer argues that READMEs, blogs and posts are opportunities to connect with people through words.
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A user argues that Rust’s long compile times make it less appealing for AI agent work.
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A user wants to cover token prices, TPS and “slop harnesses” in a few videos, and asks what else to address.
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A post addresses the interpreter as “you” and describes it as “trained on the entire standard library.”