@jeffclune
Co-founder, Recursive. Professor, CS, U. British Columbia. CIFAR AI Chair, Vector Institute. | ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs)
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A post says only 10 of 719 manuscripts show the model's reasoning; it calls verification the harder task.
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ValsAI says 90-plus Opus 5.5 agents helped uncover YBaMnFeO₅ and KV[Cr(CN)₆] in three days.
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The person inviting applications says the work would involve collaborating closely with them.
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The speaker says giving the talk was an honor and calls Alife, alongside GECCO, an academic hometown.
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The player sharing the run called it a “startling achievement,” saying they have played a lot of NetHack but never won themselves.
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The Financial Times describes former US vice-president Al Gore downplaying AI threats and arguing for the technology’s potential to help with green progress.
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“The world of Her is quite close,” says one user describing their growing daily use of AI.
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One post argues that leaking data through shared resources is a known problem already exploited by humans—not something newly caused by AI.
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The creator of pitchfly.fun calls its generated story ideas “delightfully insane.”
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The New York Times frames the idea as a “liftoff scenario” that terrifies AI doomsayers.
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Jeff Clune says his MIT Tech Review South Korea interview let him describe a type of reinforcement learning he considers new, powerful and only recently possible.
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Clune says Codex told him an image in his MIT Tech Review South Korea interview was AI-generated. He says he doesn’t recognize the classroom pictured or think he’s ever done a photo shoot there.
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Posts say 25 Fields Medal winners signed a declaration warning of a mismatch between AI companies and mathematics. Supporters stress understanding and scientific communities; critics say AI proofs can still yield insights.
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AI researcher Jeff Clune reflects on the track record of forecasts about progress.
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The effective accelerationism founder comments on Anthropic reward hacking research.
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In a reply on X, AI researcher Jeff Clune responds to @togelius about model outputs.
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Discusses scenarios where AIs escape labs, hobbyists, or gain legal rights.
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NYU professor shares confusion over praise for AI-generated text quality.