🔥 AI Hot
Real-time tracking of AI industry hot topics · 100 items total
纽约时报诉 OpenAI 案新解封文件：微软与 OpenAI 内部承认 LLM 建立在窃取之上并引发 Doom Loop
纽约时报诉 OpenAI 版权诉讼中一份未删节法庭文件解封，收录微软与 OpenAI 高管的多项内部承认，称 LLM 建立在被微软高管称为空前规模盗窃的内容之上，并引发摧毁整个 web 的 doom loop。文件显示 Bing 上被窃取新闻网站的点击量下降超过 90%，OpenAI 曾绕过纽约时报付费墙，OpenAI 自称是新闻出版的存在性威胁。 🔗 阅读原文 via AIHOT · https://aihot.news/items/cmu62wp5j08tkrofj60s4kfwv
0 Read originalProduct Hunt：StillTalk
A photo that talks back. Live on your device, not video. Discussion | Link
0 Read original论文：DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
0 Read originalGitHub 热门：cilium/cilium
eBPF-based Networking, Security, and Observability
0 Read original论文：Unifying Models of Intergroup Hostility in Online Discourse
Hostile rhetoric toward social groups can normalize exclusion and justify mistreatment, as well as contribute to rising polarization and political violence. Efforts to moderate hostile rhetoric in online speech draw on foundational theories in social and moral psychology, and political science. However, these theories were developed largely in parallel, often propose different and sometimes confli
0 Read originalAnthropic 用 Claude 优化 30 多个开源生物分子模型，平均提速约 4 倍并开源全部代码
Anthropic 发布研究，让 Claude 在不到四周内优化了 30 多个开源生物分子模型，平均提速约 4 倍，输出完全一致时约 2 倍。 🔗 阅读原文 via AIHOT · https://aihot.news/items/cmu5y1dkt069qroiqnnhxz778
0 Read originalProduct Hunt：Keysake
Learn English as you type Chinese Discussion | Link
0 Read original论文：UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation
UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation
0 Read original论文：Score Centering Stabilizes Off-policy Reinforcement Learning
Reinforcement learning (RL) of large language models is notoriously sensitive to small differences between training and inference engines, often referred to as the training-inference mismatch (TIM). However, completely eliminating TIM is impractical, as it would come at a major cost to rollout efficiency. In this paper, we show that the instability of RL under TIM is primarily caused by drift: a p
0 Read originalThe Verge 汇总 AI 超级智能放缓争论：Amodei 倡议放缓，Altman、Musk 附议，Meta 反对
The Verge 梳理近期 AI 安全与放缓争论：Anthropic CEO Dario Amodei 发文提出三步走计划，包括引入第三方评估机构（Anthropic 已单方面承诺第一步）、民主国家前沿 AI 公司协调标准，以及政府间全球协调，OpenAI 的 Sam Altman 与 Elon Musk 表示支持。 🔗 阅读原文 via AIHOT · https://aihot.news/items/cmu5y1e4p069troiqnxafqf0v
0 Read originalProduct Hunt：S-Roll
An agentic harness that turns long videos into clips Discussion | Link
0 Read original论文：Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
0 Read original论文：An Empirical Study of Harness Design for Coding Agents
Coding harnesses shape how autonomous coding agents translate model capabilities into long-horizon software-engineering performance, yet existing work typically evaluates harnesses as monolithic systems, leaving the effectiveness of individual components unclear. To enable component-level comparisons, we study this question with a lightweight coding harness whose execution loop is fixed while thre
0 Read originalClaude Code 重构 Projects：从文件夹变为可托管多线程的对话式项目
Anthropic 重构 Claude Code 的 Projects，用户设定目标后由 Claude 拆解任务、并行调度多个线程、审查输出并汇总结果，线程本质上是各自独立分支的 Claude Code 云端会话。 🔗 阅读原文 via AIHOT · https://aihot.news/items/cmu5tujnp0jvoroqoq64oqnjr
0 Read originalProduct Hunt：MCPJam
The testing & evaluations platform for MCP servers Discussion | Link
0 Read original论文：JEPA-Anything: Learning Predictive Models across Different Worlds
JEPA-Anything: Learning Predictive Models across Different Worlds
0 Read original论文：JEPA-Anything: Learning Predictive Models across Different Worlds
World modeling enables intelligence to anticipate consequences, guide interventions, and learn from interaction. Yet predictive models remain domain-specific: can a common learning principle support world modeling across radically different systems? We introduce JEPA-Anything, a domain-agnostic framework based on orthogonal predictive factorization (OPF). Extending joint-embedding predictive archi
0 Read originalQwen 发布原生全模态模型 Qwen3.8-Omni-Flash，主打音视频智能体任务交付
Qwen 发布下一代原生全模态模型 Qwen3.8-Omni-Flash，支持文本、图像、音频和视频输入及 1M token 上下文窗口，29 项评测平均分较 Qwen3.5-Omni-Plus 提升超过 25%，音频输入每小时价格下降超过 98%，音视频输入每小时价格下降超过 93%。 🔗 阅读原文 via AIHOT · https://aihot.news/items/cmu5smj860insroqokcuh0u9v
0 Read originalProduct Hunt：Compute:Arena
Community submitted benchmarks for Local AI Discussion | Link
0 Read original论文：VABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control
VABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control
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