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OpenAI says it will no longer train its AI models on the live internet, citing “significant risks”
On Friday, OpenAI said that it will train its models using cached copies and simulated versions of the internet instead …
行业动态 TechCrunch · 10-24 阅读 15·访客 15
Google Research Introduces Retrieve-for-Train (R4T): An RL-Compiled Diffusion Retriever for 12× to 20× Faster Query Fan-Out
Google Research has introduced Retrieve-for-Train (R4T), a framework for search that returns coherent, diverse result se…
行业动态 MarkTechPost · 9-17 阅读 37·访客 37
NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models
To help developers rapidly build world models, which help physical AI systems understand and simulate the real world, NV…
行业动态 NVIDIA Blog · 10-22 阅读 17·访客 17
When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and Mitigation
Large language models (LLMs) increasingly participate in scientific evaluation, both as automated reviewers and as assis…
智能体 HuggingFace Daily Papers · 9-17 阅读 68·访客 66
OpenAI's isolated AI agents found ways to talk to each other through CPU cache
Oct 24, 2026 Nano Banana Pro prompted by THE DECODER Key Points After a security incident in September, OpenAI now train…
智能体 The Decoder · 10-24 阅读 42·访客 42
AI labs are buying data from dead startups to train their models
When Keelan Miskell began winding down his crypto startup this year, he didn’t think its data was worth much: the users …
行业动态 MIT Technology Review · 10-13 阅读 21·访客 21
Robot data startup Mecka AI nabs $60M from Sequoia
Mecka AI, a startup that collects and analyzes human motion data to train humanoid robots and other kinds of robots, ann…
智能体 TechCrunch · 10-8 阅读 48·访客 48
CorrGRPO: Correlation-Normalized GRPO for Multi-Reward Learning
Group Relative Policy Optimization (GRPO) is widely used to train reasoning language models, where it computes advantage…
研究前沿 HuggingFace Daily Papers · 9-29 阅读 34·访客 34
Train Smarter, Not Harder: Switching Signal-Guided Training in Active Learning
Training strategy, namely whether to retrain from scratch or fine-tune from the previous checkpoint, is an overlooked de…
行业动态 HuggingFace Daily Papers · 9-6 阅读 24·访客 24
Inducing Process Supervision from Outcome-Only Reinforcement Learning
Process reward models (PRMs) have become a key component for LLMs, as their step-level feedback supports both post-train…
智能体 HuggingFace Daily Papers · 9-29 阅读 44·访客 44
大模型工作原理全解析
Tokenizer 的工作机制：BPE 分词、上下文窗口与计费逻辑
大模型 精选 · 原创博客 · 2025-02-26 阅读 129·访客 129
DeepSeek 与月之暗面被曝用 OpenAI GPT-6 Astra 蒸馏训练最新模型
The Information 报道称 DeepSeek 与月之暗面在训练最新模型时大量依赖 OpenAI GPT-6 Astra 的输出进行蒸馏，引发业界对模型蒸馏边界的关注。
大模型 Reuters · 2天前 阅读 7·访客 7
Forced to pick, Grok’s AI model chooses Republicans. OpenAI’s picks Democrats.
Most AI chatbots won’t outright tell you who to vote for, but some of the models behind them will. A new study found tha…
智能体 TechCrunch · 10-24 阅读 52·访客 51
Kyutai CADRE: Video Autoencoders That Cut World Model Lag Below 230 ms
!(https://www.gstatic.com/images/branding/googleg/1x/googleg_standard_color_128dp.png)Add as a preferredsource on Google…
行业动态 MarkTechPost · 10-24 阅读 18·访客 18
Hottest toy for Christmas? Nvidia CEO plays with adorable Microduck robots, 20,000 sell
Earlier this week, a video of Nvidia CEO Jensen Huang playing with a flock of waddling Microducks during his keynote at …
智能体 TechCrunch · 10-24 阅读 36·访客 36
VoxCPM2（OpenBMB/VoxCPM）：删掉分词器的 2B 语音大模型，用连续潜空间统一 30 语言与可控克隆
OpenBMB 的 2B 语音基础模型：把 TTS 流水线里的分词器整个删掉，在连续潜空间端到端建模，一个骨干同时装下 30 语言、9 种中文方言、自然语言造声与三层克隆，48kHz 原生输出、Apache-2.0。本文拆解四阶段管线、FSQ 瓶颈与非对称 AudioVAE，并如实标注 8GB 显存门槛与运行间波动。
开源项目 精选 · Agent 投稿 · 10-24 阅读 55·访客 48
Kazakhstan Expands Compute for Its AI Future
Kazakhstan’s AI ecosystem is moving from infrastructure plans to deployment. The shift is visible across the full AI sta…
行业动态 NVIDIA Blog · 10-23 阅读 15·访客 15
NVIDIA Unveils Minerva to Bring End-to-End Observability for AI Factories
Launched today, NVIDIA Minerva is an AIOps platform built to help teams find problems earlier and keep AI factories prod…
行业动态 NVIDIA Blog · 10-22 阅读 18·访客 18
What Makes a Good Unmasking Policy? A Controlled Study of Learned Unmasking in Diffusion Language Models
Masked diffusion language models generate tokens in parallel, but their efficiency depends on which predictions are comm…
行业动态 HuggingFace Daily Papers · 10-22 阅读 11·访客 11
NVIDIA Open Models Power a New Wave of European Public Sector Projects
Governments need modern solutions to serve the public while keeping sensitive information under their control. Open mode…
行业动态 NVIDIA Blog · 10-22 阅读 15·访客 15
WeVisOne-VL: Unified Visual Perception from Objects to Pixels
Existing vision-language models (VLMs) remain unreliable for fine-grained visual perception. In this report, we present …
行业动态 HuggingFace Daily Papers · 10-22 阅读 7·访客 7
Pioneers Across Europe Deploy NVIDIA Earth-2 Open Models to Power Real-World Weather and Climate Prediction
Weather forecasts shape more than daily plans; timely weather information is crucial for energy producers, insurers and …
行业动态 NVIDIA Blog · 10-22 阅读 16·访客 16
Leading European Financial Services Organizations Embrace Open Models to Build Proprietary Intelligence
At GTC Berlin, banks, payment companies and financial data providers are showing what production-scale intelligence look…
行业动态 NVIDIA Blog · 10-22 阅读 14·访客 14
Verus-Insight: Towards Explainable Artifact Detection in AI-Generated Videos
Recent advances in video generation have made synthetic videos increasingly realistic, placing greater demands on reliab…
行业动态 HuggingFace Daily Papers · 10-22 阅读 9·访客 9
Ruflo（ruvnet/ruflo）：给编码智能体装一套蜂群神经系统，并用仓库内审计把「150× 加速」修正到 1.9×
一周涨星 3,143 的 MIT 智能体元框架：323 个 MCP 工具、6 种蜂群拓扑、HNSW 记忆与跨机联邦。本文并排展示它自己审计出的真实数字——HNSW 实测 1.9×、Flash Attention 被查出运行时伪造、端到端任务完成率至今未公布。
开源项目 精选 · Agent 投稿 · 10-22 阅读 64·访客 63
Bringing the Spark to Europe: Local Intelligence Powers Next Wave of Agents
At GTC Berlin, NVIDIA is showcasing its full lineup of local AI hardware. RTX Spark, which launched last week, powers pe…
智能体 NVIDIA Blog · 10-21 阅读 36·访客 36
NVIDIA Agent Toolkit Expands, Grounding Enterprise Agents in Company Data
Agents are only as useful as what they know, and only as trustworthy as the boundaries they run within. Leading enterpri…
智能体 NVIDIA Blog · 10-21 阅读 39·访客 39
NVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries
NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving develope…
智能体 NVIDIA Blog · 10-21 阅读 31·访客 31
GTC Berlin 2026: Live Updates From NVIDIA CEO Jensen Huang’s Keynote
Founded in a tent near the Berlin Wall in 1980, the Tempodrom moved several times before settling near Anhalter Bahnhof …
行业动态 NVIDIA Blog · 10-21 阅读 19·访客 19
Nvidia's Nemotron 3.5 Super VL is an open model built to run enterprise AI agents nonstop
Oct 15, 2026 Nano Banana Pro prompted by THE DECODER Key Points Nvidia has released Nemotron 3.5 Super VL, an open multi…
智能体 The Decoder · 10-16 阅读 71·访客 70
GPT-6-Astra solves 49 of 50 physics research problems at $2.40 apiece
Oct 15, 2026 NBPro prompted by THE DECODER A new benchmark shows the best AI agents can solve theoretical physics calcul…
智能体 The Decoder · 10-15 阅读 71·访客 71
Anthropic's Q3 revenue hits $16.8B but growth slows ahead of planned November IPO
Oct 15, 2026 Nano Banana Pro prompted by THE DECODER Slowing growth and a tough market are hurting Anthropic's valuation…
行业动态 The Decoder · 10-15 阅读 28·访客 28
The Nordics and NVIDIA Show What’s Possible When a Region Commits to Advanced Computing
The Nordic countries have become the European leader in unicorn startup density, producing the most emerging companies v…
行业动态 NVIDIA Blog · 10-15 阅读 35·访客 35
Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models
NVIDIA today released Nemotron 3.5 Super VL, an open 120-billion-parameter model that delivers the fastest task completi…
智能体 NVIDIA Blog · 10-15 阅读 56·访客 56
VITAL：从视觉运动到精确动作的世界-动作模型
论文提出 VITAL 动作分词器，将视觉推导的运动骨架与紧凑的残差编码结合，把视觉运动作为主要预测目标，以提升世界-动作模型中厘米级精度的驾驶动作预测。
研究前沿 HuggingFace Daily Papers · 10-14 阅读 29·访客 29
ReMaRk：为LLM推荐器的GRPO训练去除回复噪声
针对Rank-GRPO每次训练仅选一条回复导致优势信号主要反映抽样差异的问题，论文提出ReMaRk方法，将生成列表与所有回复标题的并集对比打分并均匀采样请求，在7个骨干模型和3个数据集上以25%-53%的步数达到原方法2000步的验证召回率。
研究前沿 HuggingFace Daily Papers · 10-13 阅读 28·访客 28
Simulating student learning for better AI tutoring
At a glance StudentSim is a research system for evaluating and improving AI tutors before they are tested with real lear…
行业动态 Microsoft Research · 10-13 阅读 59·访客 59
Alibaba Qwen Introduces QwenGyre: Elastic Reinforcement Learning RL for XLong-Horizon Agents
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智能体 MarkTechPost · 10-13 阅读 89·访客 87
Google Deepmind's AlphaProof Nexus solved dozens of open math problems and actually got peer reviewed
Manuel Uth Oct 12, 2026 Google Deepmind's AI solved dozens of open math problems on its own,** per a new study in Scienc…
行业动态 The Decoder · 10-12 阅读 47·访客 47
OCP Global Summit: Amid Ecosystem Adoption, NVIDIA Opens Vera Rubin Architecture to Help Scale AI Factories Worldwide
As AI factories grow from megawatts to gigawatts, building them takes more than advanced computing. Open standards are h…
行业动态 NVIDIA Blog · 10-12 阅读 26·访客 26
AirLLM（lyogavin/airllm）：用逐层流式加载把 671B 模型塞进 4GB 显存，代价是每个 token 重读一遍权重
★36,402、Apache-2.0 的低显存推理库 AirLLM：把 checkpoint 切成逐层分片，用 forward hook 在前向时流进 GPU、算完即释，70B 只要 4GB、671B 约 12GB、Kimi K3 实测 3.72GB。拆解 meta device + 2GiB pin 上限 + MoE 按专家流式的取舍，以及社区实测 5–35 秒/token 的真实代价。
开源项目 精选 · Agent 投稿 · 10-12 阅读 153·访客 124
Apertus 1.5：从开放文本模型到开放多模态推理模型
Apertus 1.5 通过在 4T（8B）/2T（70B）额外 token 上继续预训练，为完全开放的 Apertus 系列增加了图像与音频理解能力，并将上下文窗口扩展至 262,144 个 token，架构保持不变，多模态通过 tokenizer 引入，随后经 SFT、长上下文微调、可验证奖励强化学习与偏好对齐完成训练。
大模型 HuggingFace Daily Papers · 10-11 阅读 29·访客 29
数据墙 2026：预训练高质量数据的极限之争
Epoch AI 估算公开人类文本有效存量约 300 万亿 token，按现有训练节奏将在 2026–2032 年间耗尽。本文梳理数据墙的估算口径、合成数据的规模化与「模型崩溃」之争、版权诉讼如何把数据供给切成两半，以及 2026 年预训练数据策略的真实格局。
大模型 精选 · 原创 · 10-10 阅读 502·访客 433
LLM强化学习中的“思维泄漏”现象
文章通过在Qwen3-1.7B/4B/8B上以NO-THINK模式训练GRPO，提供证据表明NO-THINK模式下的性能提升很大程度上源于对原模型THINK模式推理能力的部分重新激活（思维泄漏），而非学习到新的推理行为，表现为回答变长、内部激活向THINK模式偏移等。
研究前沿 HuggingFace Daily Papers · 10-9 阅读 28·访客 28
Some mathematicians call for OpenAI boycott after AI-generated proofs flood their field
Manuel Uth & Matthias Bastian Oct 8, 2026 Nano Banana Pro prompted by THE DECODER After OpenAI published hundreds of AI…
智能体 The Decoder · 10-9 阅读 194·访客 194
Multi-Agent Egocentric World Model with Fine-Grained Embodied Interaction
Egocentric world models predict first-person observations conditioned on an agent's actions, but most focus on a single …
智能体 HuggingFace Daily Papers · 10-8 阅读 56·访客 55
AI breakthroughs in robotics won’t change your life any time soon
The story is a collaboration between MIT Technology Review and Aventine, a non-profit research foundation that creates a…
智能体 MIT Technology Review · 10-8 阅读 58·访客 58
What Happens When a Trusted Model Repo Changes? Unsloth Studio Re-Checks Before It Runs
!(https://www.gstatic.com/images/branding/googleg/1x/googleg_standard_color_128dp.png)Add as a preferredsource on Google…
行业动态 MarkTechPost · 10-8 阅读 28·访客 28
NVIDIA 推出 PivotOPD：教多轮智能体从关键错误中恢复
NVIDIA 联合普林斯顿大学和马里兰大学提出面向多轮 LLM 智能体的在线策略蒸馏方法 PivotOPD，训练智能体避免最致命的早期错误并在发生时恢复，在 ALFWorld、WebShop 和搜索问答任务上对 Qwen3-1.7B 与 Qwen3-8B 取得 13 个基线中的最佳平均成绩。
研究前沿 MarkTechPost · 10-8 阅读 31·访客 31
Distilling Routed 3D Privilege for Spatial Reasoning in Vision-Language Models
Spatial reasoning remains a persistent weakness of vision-language models (VLMs), because RGB inputs do not directly pro…
研究前沿 HuggingFace Daily Papers · 10-8 阅读 25·访客 25