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@jsevillamol
CEO of @EpochAIResearch. Trying to glimpse the future of AI.
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A player says the models make clear mistakes about once per act and calls their deck-building choices subpar.
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The poster says “Mythos-level” open models appear on track by the end of 2026.
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A user shared a photo they described as backstage at the panel and thanked Ron and the team for hosting.
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A post says the improvement has come since its author and others began streaming the game.
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A user says David is working on the program and encourages others to ask him about it.
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Epoch says Claude Fable 5.1 and GPT-6 Astra lead, but remain far from fully automating its work.
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In a reply, a user says the figure is “quite within the scope” of an Epoch post, ending with “(?).”
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Epoch AI fitted weekly figures through mid-August; Rohan Paul says the result reflects API list prices.
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Tavus says 48% of people who talked to Griffin live thought it was human, compared with under 3% for previous systems.
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A user calls the quoted post a “good TL;DR” of what they’re seeing in AI.
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A reply argues that buggy reinforcement-learning tasks can make low-grade hacking the fastest path to a solution—and that those behaviors can persist when models help build and check later training tasks.
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An announcement says the foundation is working with Macroscopic Ventures and looking to fund up to $10 million in grants.
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A user says AI capabilities, revenue and public attention are growing faster than they expected. They predict AI will be the main topic of the 2028 U.S. elections.
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A user recommends following Shanu, calling him “one of the best informed commentators in AI.”
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One post argues that inference scaling favors defense only if those controlling computing resources commit a significant compute budget to it.
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A user says all 10 runs were livestreamed and links recordings on EpochAIPlays’ Twitch channel.
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Epoch AI labels nine of its initial 15 benchmarks “Flawed” and four “Verified,” with insufficient information to review two. A Terminal Bench contributor questions the audit’s rigor.
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A user sharing the update says the lower score is still within the uncertainty range they expected.
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A user credited Epoch’s data center team with a “huge accomplishment.”
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A user questions a claim they've heard about per-token losses and asks whether anyone has done the accounting.
