Jaron Lanier on parallels between AI and social media
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AI is forcing us to pay off 40 years of technical debt
HN ⭐ 294 · 183 评论
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Geoffrey Hinton: it might turn out we were better off without AI
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US tech giants' hidden AI debt swells 90% to $3.2T in 6 months
HN ⭐ 320 · 139 评论
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DreamX: Video Diffusion Model is a Universal Latent Action Learner
作者: Jisoo Kim, Chaehyun Kim, Junsu Kim | Learning a universal action representation from video requires modeling dynamics that are consistent across different executions of the sam
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From Autonomous Agents to Cognitive Symbionts: Toward AI-Augmented Human Intelligence
作者: Hao Fei | For a decade, progress in artificial intelligence has been measured by how much a machine can do on its own. Large foundation models now write code and run multistep
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Aligning Language Models with General Preferences: An Empirical Study of Direct Nash Optimization
作者: Austin Tsai, Saurav Nanda, Ganapathy Parthasarathy | Direct Nash Optimization (DNO) aligns a language model to a general preference function by approximating the Nash equilibri
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PolicyIK: High-Precision Inverse Kinematics for Robot Arms with Reinforcement Learning
作者: Yuhan Liu, Xinqi Liu, Zixuan Dong | Inverse kinematics (IK) converts end-effector pose commands into joint motion, and many vision-language-action (VLA) policies rely on it to
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GUILD: Guided Iterative Data Collection for Imitation Learning
作者: Shivin Dass, Kevin Nguyen, Rohan Yelandur | Imitation learning policies in robotics are trained on datasets collected through costly real-world teleoperation. Often, the data-c
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Suppressing Misaligned Behaviors in Language Models, Durably
作者: Luxi He, Pengcheng Jiang, Jifan Zhang | Undesired model behaviors can emerge or re-emerge at any stage of training. Once observed, how effectively can we suppress them? To stud
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Reading Why: Born-Measured Attention with Exact Word Evidence on Light and Qubits
作者: Teerawat Tongloy, Jiraporn Pongsopa, Rangsan Jomtarak | When a language model answers, we can usually only estimate why. We build a transformer in which every step is a Born me
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Agnostic Learning by Imitating
作者: Sílvia Casacuberta, Parikshit Gopalan, Varun Kanade | Given a class of machine learning models and sample access to a data distribution with binary labels, which computational
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Adversarial Speculative Reasoning Improves Long Horizon Agents
作者: Hongyin Luo, Wei Fang, Lijie Yang | Speculative decoding has been treated purely as a systems optimization that speeds up large language model decoding without changing the mod
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A Circuit for In-Context Learning
作者: Andrew Gao, William Gao | In-context learning (ICL) lets a pretrained language model perform a task specified by demonstrations in its prompt, with no parameter updates. With a
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How I use AI (Oct 2026)
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