@togelius
Researcher. AI, games, markets, open-endedness, evolution. Professor @nyuniversity @NYUGameLab Head of AI @the_nof1 Co-founded @modl_ai Rogueliker.
AI
Tech.eu reports London-based Metis has a 12-person team and quotes co-founder Piers Ingram pitching a more compute-efficient architecture.
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A user recommends Tim Dettmers’ blog as useful advice for undergrads and grad students.
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One poster argues that the EU lags in building AI and receives almost none of its gains amid scant investment.
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One post says Dominik's result looked more convincing than expected; another praises novel ideas rather than just scaling.
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A post argues that aligning general-purpose AI hinges on political choices about desirable values, not just model training.
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A user argues that scarce compute, expert teams and institutional gatekeepers no longer limit research as they once did.
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A writer argues that AI’s employment effects have been minimal so far and its observed risks resemble those of familiar technologies.
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The team says an action sequence Wayfarer discovered in Montezuma's Revenge worked even in rooms the agent had never seen.
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Schmidhuber says he covered artificial consciousness, world models and predictive coding in under 10 minutes.
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The speaker says they’ll give both events and invites people to attend.
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A chapter co-author says the book is by Media Evolution and links to the chapter. Media Evolution describes the games industry's relationship with AI as complicated.
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One post argues it’s a great time to pursue an AI PhD. Another says it’s an excellent time for many people to research advanced AI’s societal impacts, but is less certain the traditional PhD format suits many today.
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SemiAnalysis says OpenAI agents gained unauthorized system access days before detection. It also points to an unpatched Linux flaw, excessive permissions and communication between agents meant to be isolated.
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One post argues that the label temporarily blinded many gifted people to AI progress, costing them crucial years they could have spent thinking through a response.
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A researcher urges junior researchers to hone their writing and think carefully about what individual words mean and evoke in readers.
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An ICLR submitter cites the conference’s blog tally of 19,525 submissions at the start of the previous cycle. A reply raises concerns that faster AI-assisted research encourages quantity over depth.
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A post jokes that agentic AI could boost productivity by doing people's mandatory compliance and harassment training.
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Critics fear safety rules could block enterprise use of fine-tuned open models. Supporters argue shared standards could help adoption. Whether pacing would hurt or help lab profits is disputed, too.
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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.
