@hequan_shawu · Post #1033 · 03/02/2025 04:52
#AI
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@hequan_shawu · Post #1033 · 03/02/2025 04:52
#AI
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@hequan_shawu · Post #1023 · 03/02/2025 04:51
#AI
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@hequan_shawu · Post #984 · 29/01/2025 04:28
#AI
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@LinghaoCh · Post #936 · 17/04/2025 05:22
Truly a thought-provoking piece, from the author of τ-bench. https://ysymyth.github.io/The-Second-Half/#ai So what’s suddenly different now? In three words: RL finally works. More precisely: RL finally generalizes. After several major detours and a culmination of milestones, we’ve landed on a working recipe to solve a wide range of RL tasks using language and reasoning. The second half of AI — starting now — will shift focus from solving problems to defining problems. In this new era, evaluation becomes more important than training. Instead of just asking, “Can we train a model to solve X?”, we’re asking, “What should we be training AI to do, and how do we measure real progress?” To thrive in this second half, we’ll need a timely shift in mindset and skill set, ones perhaps closer to a product manager. It turned out the most important part of RL might not even be the RL algorithm or environment, but the priors, which can be obtained in a way totally unrelated from RL (LLMs).
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@LinghaoCh · Post #932 · 09/04/2025 06:41
https://ai-2027.com “We predict that the impact of superhuman AI over the next decade will be enormous, exceeding that of the Industrial Revolution.” 不管怎样,这个页面的 interaction 很棒 #ai
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@hequan_shawu · Post #884 · 27/12/2024 03:55
#AI
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@amneumarkt · Post #744 · 30/04/2026 23:49
#ai J. Simon et al., “There will be a scientific theory of deep learning,” arXiv [stat.ML], Apr. 23, 2026. doi: 10.48550/arXiv.2604.21691. Available: http://arxiv.org/abs/2604.21691. [Accessed: May 01, 2026]
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@amneumarkt · Post #743 · 10/04/2026 14:24
#ai PaperOrchestra https://yiwen-song.github.io/paper_orchestra/
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@amneumarkt · Post #741 · 04/04/2026 11:30
#ai It might be hard to distinguish deceptive behavior and ignorance due to being incapable. ----- Opinion: AI systems can easily lie and deceive us – a fact researchers are painfully aware of https://www.westernsydney.edu.au/news-centre/stories/2025/opinion-ai-systems-easily-lie-and-deceive-us-fact-researchers-aware-of
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@amneumarkt · Post #739 · 28/03/2026 06:39
#ai Wow, the compression is amazing. Seriously, is there a similar correspondence like the Ads/CFT correspondence for transformers? https://swarmnotes.kausalflow.com/
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@amneumarkt · Post #736 · 20/03/2026 09:49
#ai https://productivityradar.com/how-to-use-ai-as-a-manager/
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@amneumarkt · Post #734 · 10/03/2026 12:11
#ai https://www.figure.ai/news/helix-02-living-room-tidy
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