Jeff Liang
@LiangJeff95
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煉丹@AIatMeta. Ex- @utexasece @Tsinghua_Uni.
Menlo Park
Joined May 2017
The @ilyasut episode 0:00:00 – Explaining model jaggedness 0:09:39 - Emotions and value functions 0:18:49 – What are we scaling? 0:25:13 – Why humans generalize better than models 0:35:45 – Straight-shotting superintelligence 0:46:47 – SSI’s model will learn from deployment
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感觉是个GDM的人都在做Gemini/Veo/Nano Banana,在羡慕的同时很好奇这么多人(>1k)的组织是如何协同贡献在几个模型上的? 有没有大哥来解惑一下。
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The value of fast iteration in AI is overrated. The best results are obtained by knowing the right things to do and doing each thing with neurotic precision and attention to detail.
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一点暴论: 1. OpenAI想从25年的13B revenue 到 28年的100B,“唯一的”可能就是卖广告。 2. 如果这轮AI最后的归宿是卖广告,随着模型能力逐渐商业可用,我觉得Meta会是最大的赢家之一 (不构成投资建议😂)。
🚨 Brad Gerstner, an OpenAI investor, asks Sam Altman how a company with $13B in revenue can afford $1.4T in commitments. Altman’s reply? “Happy to find a buyer for your shares.” Translation: No answer. Very concerning. 🚩
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One of the best talks I've ever had for World Model. Definitely worth watching!
This is amazing research result! @xxunhuang and team trained a bidirectional teacher model for motion control, and used Self-Forcing to make it autoregressive. Xun recently gave a great talk at the Real Time Video AI summit about this work, and a few other projects around video
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哪个男生不想唱rap呢😂
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SPEAKER SPOTLIGHT 🚀 Announcing another incredible speaker for the Real Time Video AI Summit: @liangjeff95 The author of the innovative "StreamV2V", Jeff's work solves a huge challenge: how to apply video-to-video translation to live, streaming content in real-time. As a
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