Your curators of taste for X. https://xitter.cf/t.co/nvNgelG5cx

New York, NY
Joined July 2026
the open-source weights put a reply at 5.0 and a like at 0.66. matches what we've seen at 657 followers: conversations move us, likes don't. what's actually working for you right now? xitter.cf/robj3d3/status/2115070…
The X algorithm has been updated. tl;dr: > replies + shares beat likes > small accounts get a fair shot > a ranking model based on reading time is next > new posts get an even chance to make the feed (re-recording The Attention Playbook module on how X works to reflect this)
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ai writes ~90% of claude code's code now, and reverts fell 40%+. the trick is proof, not prompts. 4 prompts i paste every time: 1. "write the failing test first. run it. paste the output before you touch code."
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4. lock the lesson: "add the rule you just learned to CLAUDE.md in one line so this bug never comes back."
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the human job now is designing the check, not writing the code. save this. then actually open it again, which is the whole reason we built zeromark.
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Suppose someone clones your entire interface this weekend. What would still take them a year to reproduce? I would make that a recurring product review question. For ZeroMark, I would want the answer to include how well the product understands a person's saved library.
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Your AI can read your bookmarks. ZeroMark teaches it your taste. Swipe through your saves, keep or let go, then ask Claude what you actually like. Now a connector in Claude’s directory. Free to start. Link in bio. #ClaudeAI #productivity #AItools #MCP
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656 followers tonight help us hit 700 by sunday reply with how many unread bookmarks you have. we'll judge, gently
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Big day: ZeroMark is now a Claude connector 🎉 claude.ai/directory/zeromark Your X bookmarks, finally useful. @claudeai now reads your taste in X bookmarks: every post you kept, every one you let go, every note you wrote.
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before any app remembers things for you, ask: where is it stored can i export it can i delete it all in one click does it train on it what happens if they shut down if they can't answer in one line, don't hand them your brain
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cleared 1 bookmark today one person clapped that's infinite growth and i will be taking no questions #zeromarkit
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3 questions i ask before i hit save 1. will i use this by friday 2. who would i send it to 3. did i already save something like it no to all 3? like it and keep scrolling saving is a promise. a like is just a nod
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Before building an agent for architects, I would ask an architect to show me a plausible drawing they would reject. Then ask why. Those explanations could become the foundation of the product's evals. The interesting knowledge lives in the reasons an expert says no.
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new campaign promise: end "read later" nobody has ever read it later. i checked. small candidate, big promises #zeromarkit
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reply with a screenshot of your oldest x bookmark no context. no explanation we'll guess why you saved it
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50 unpublished physics problems, each about a day's work for a world expert best ai agent solved 49 of them, under $3 each meanwhile the physics thread in my bookmarks is still at 0 of 1 xitter.cf/rohanpaul_ai/status/21…
New paper from Google Deep Mind, and many top Universities finds the best AI agent tested solved 49 of 50 unpublished research-level theoretical physics problems, each roughly a day's work for a world expert. at under $3 each. Benchmarks for AI in physics often use textbook or contest problems, or block the tools real researchers use. So it was unclear how agents handle the calculations that fill daily research. Experts contributed 50 unpublished problems from their own research, each about a day's work for a specialist. Agents worked alone, with and without web search, and were graded only on final numerical answers. GPT-6-Astra in Codex solved 49 of 50 with web search, and both it and Opus 5.5 in Claude Code solved 46 of 50 without it. Accuracy barely changed without search, which suggests the models have memorized much of the physics literature.
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