@apartovi
@Neo CEO. "Confession" podcast host. Cofounder: http://Sway.co, http://Code.org, iLike, LinkExchange. Degenerate risk taker. ❤️ Dad of Soli Jude Reza & Lola
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Applied Compute reported reaching $100 million in annualized revenue run rate less than 18 months after its founding.
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The company plans to expand robot manufacturing and industrial deployments while human tutors guide machines before full autonomy.
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Mirendil says Lor's agents write its code, run experiments and iterate on results for days.
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Mirendil pitches its first model for auditing AI training data and debugging training runs from logs.
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Its x.ai listing describes personalized outreach drafts and says nothing goes out without a user's approval.
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In the announcement, @bneyshabur places Mirendil-Base in the 100B–500B-parameter range and promises independent evaluations.
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A user quote-posted another message and wrote, “This should surprise nobody.”
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A backer says the planned reinforcement-learning environments will start with applications in quantitative finance.
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The announcement says GSK used Chai-3 to find binders to every target tested in a wet-lab evaluation.
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Intelligent UI lets the model compose answers from text, visuals and interactive controls, choosing the format to fit the question.
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A post outlining the plans lists prediction markets, perpetual futures and dated futures for pricing and hedging AI infrastructure risks.
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Deven Pietrzak says he adapted CPU-assisted work from an earlier pull request and submitted his own for review.
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Its creators say a verifier can cheaply check the certificates, addressing what they call broken trust in ML conference results.
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On September 30, the organizer offered the first 100 people to join an invitation to a private Zoom Q&A.
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A post says Topos uses Modal to build and run protein models that go beyond folding, aiming to capture the dynamics of intrinsically disordered regions.
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Stamos argues that AI could make attacks cheaper to run while defenders face high costs to scan and repair older software. He says Cognition aims to help companies find and fix flaws more affordably.
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A user called a linked post a “huge breakthrough” but did not say what happened.
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A user teased a one-sentence idea for dealing with AI risks, saying it relates to something they learned from Elle Woods.
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One post argues that liability is indispensable to mitigating AI risk, but that the existing regime is deeply inadequate—and even a much stronger one would not be enough.
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A New York Times opinion essay argues that people are giving away control of AI, rather than losing it.