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Fancy harnesses make coding agents more expensive but not better, study finds
Oct 24, 2026 Nano Banana Pro prompted by THE DECODER Makers tout score gains from new agent harnesses like Claude Code o…
智能体 The Decoder · 5天前 阅读 35·访客 34
AI agents overstate their results and remain far from autonomous research, study finds
Manuel Uth Oct 11, 2026 Nano Banana Pro prompted by THE DECODER Results from Epoch AI and Anthropic show that AI models …
智能体 The Decoder · 10-11 阅读 64·访客 62
Do LLMs Understand Sequential Structure? A Controlled Study of Inference and Generation
Large language models (LLMs) are increasingly used as interactive agents and simulators, yet it remains unclear whether …
智能体 HuggingFace Daily Papers · 10-4 阅读 43·访客 42
On-Policy or Off-Policy Learning? A Systematic Study of Distillation Dynamics
On-policy learning has been argued to reduce catastrophic forgetting, produce sparser parameter updates, and improve gen…
行业动态 HuggingFace Daily Papers · 9-28 阅读 28·访客 28
AI access makes people almost entirely unwilling to say "I don't know," study finds
Sep 26, 2026 Nano Banana Pro prompted by THE DECODER Researchers ran five experiments with 3,132 participants to test wh…
行业动态 The Decoder · 9-27 阅读 46·访客 46
Top AI experts badly underestimated how fast the field is moving, study finds
Sep 24, 2026 Nano Banana Pro prompted by THE DECODER How fast is AI improving? That question usually goes to experts at …
行业动态 The Decoder · 9-25 阅读 47·访客 40
An Empirical Study of Harness Design for Coding Agents
Coding harnesses shape how autonomous coding agents translate model capabilities into long-horizon software-engineering …
智能体 HuggingFace Daily Papers · 9-17 阅读 72·访客 70
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 · 5天前 阅读 45·访客 44
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 6·访客 6
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
Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark
In this paper, we study physically grounded articulated 3D asset generation---moving the goal from reproducing how objec…
智能体 HuggingFace Daily Papers · 10-9 阅读 41·访客 41
The value of information and the emergence of communication in evolved e-puck robots
We study when communication emerges between autonomous agents and what role an innate action selection architecture play…
智能体 HuggingFace Daily Papers · 10-9 阅读 46·访客 45
AI 教育的 2026：三场 RCT 都说有效，为什么家长还是不放心
2026 年 AI 教育拿到了迄今最强的证据：哈佛实验里 AI 导师组的学习增益超过面授主动学习的两倍，世界银行在尼日利亚测出约合两年常规进度的提升，Google 在塞拉利昂的 RCT 也有 0.26 个标准差。但三场研究全部由利益相关方资助、周期不超过一学期，而 MIT 的脑电研究与「护栏可绕过」的产品现实站在对面。本文梳理产品格局、证据攻防与中美政策两条路线。
行业动态 精选 · 原创 · 10-8 阅读 551·访客 550
Coding-Agent Benchmarks Should Match Their Users' Task Flows
The evaluation of coding agents generally strives to be as realistic as possible. In our study, we collect 4,782 agent s…
智能体 HuggingFace Daily Papers · 10-7 阅读 51·访客 50
Understanding and Enhancing Backdoor Persistency in LLM Agent Post-Training
Developers can build LLM agents by adapting third-party models through benign post-training. We study a supply-chain thr…
智能体 HuggingFace Daily Papers · 10-5 阅读 58·访客 57
InterEvolve: Test-Time Evolution of Reward Programs for Humanoid Loco-Manipulation
We study test-time evolution for humanoid loco-manipulation: solving tasks that a controller was never trained for by re…
行业动态 HuggingFace Daily Papers · 10-1 阅读 27·访客 27
Kinematic MeanFlow: One-Step Action Generation Policy for Robotic Foundation Models
In this paper, we study how to achieve one-step action generation in Robotic Foundation Models (RFMs), aiming to overcom…
智能体 HuggingFace Daily Papers · 10-1 阅读 45·访客 45
An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning
We study on-policy distillation (OPD) through the lens of reinforcement learning, establishing a connection between the …
研究前沿 HuggingFace Daily Papers · 9-28 阅读 39·访客 37
AI was supposed to hit new grads hard. So far, unemployment data says otherwise.
Last month, we shared word of a Stanford study that found entry-level employment in so-called "AI-impacted" occupations …
研究前沿 Ars Technica · 9-26 阅读 37·访客 37
Perplexity Trains Its Computer Agent on Real Mistakes With Hint-Guided Self-Distillation
Perplexity Research published a new post-training study. It trains a model inside Perplexity Computer on real user sessi…
智能体 MarkTechPost · 9-25 阅读 58·访客 57
EmbodiedSWE: Coding Agents for Long Horizon Dexterous Robotics
We study coding agents for long-horizon, dexterous robotics and ask whether their solutions can provide scalable supervi…
智能体 HuggingFace Daily Papers · 9-23 阅读 55·访客 55
Blaming Across the Aisle: Political Contrasting and Blame Attribution in the Danish Parliament
Political discourse is widely perceived to be growing more hostile, yet robust evidence remains scarce. This study exami…
行业动态 HuggingFace Daily Papers · 9-22 阅读 23·访客 23
VākQA: A Benchmark and Evaluation Study for Telugu Spoken Factoid Question Answering
Question answering has advanced rapidly with large language models, but predominantly for high-resource languages, in bo…
智能体 HuggingFace Daily Papers · 9-17 阅读 51·访客 50
When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation
We study length inflation in on-policy distillation (OPD), where student responses can become excessively long and even …
行业动态 HuggingFace Daily Papers · 9-17 阅读 47·访客 45
Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation
We study a practical question: can a small correction module fix errors in a frozen language model's outputs without deg…
行业动态 HuggingFace Daily Papers · 9-14 阅读 27·访客 27
An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics
We study how model post-training and test-time inference design affect natural-language proof generation for hard olympi…
行业动态 HuggingFace Daily Papers · 9-9 阅读 28·访客 26
SchemeArena: Factorized Stress Testing of Scheming in LLM Agents
We study scheming in LLM agents, in which agents covertly pursue misaligned goals. Our focus is to understand how schemi…
智能体 HuggingFace Daily Papers · 9-8 阅读 51·访客 50
TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model
We study the problem of navigating cluttered indoor environments with a humanoid robot. Unlike conventional methods that…
智能体 HuggingFace Daily Papers · 9-8 阅读 48·访客 47
Online Learning with LLM Experts from Limited Feedback
We study adaptive routing of prompts to large language model (LLM) experts to maximize response quality in an online set…
大模型 HuggingFace Daily Papers · 9-5 阅读 32·访客 32
WorldSculpt: Generating Compositional Worlds from Grounded Videos
We study the problem of generating a compositional 3D representation of a cluttered scene containing hundreds of objects…
行业动态 HuggingFace Daily Papers · 9-4 阅读 20·访客 20
Select, Compress, Reinvest: A Controlled Study of Visual-Token Allocation in Long-Video MLLMs
Long-video language models cannot look at every frame: an hour sampled once per second is 3,600 images, and a system kee…
大模型 HuggingFace Daily Papers · 9-3 阅读 34·访客 31
Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys
We present a systems-security case study of a two-node split-LLM training system whose privacy evaluation passed while l…
大模型 HuggingFace Daily Papers · 9-3 阅读 39·访客 38
MasterControl Seventeen Every Time
We study a governed approach to enterprise analytics: a language model interprets the question, while deterministic poli…
智能体 HuggingFace Daily Papers · 9-2 阅读 45·访客 43
StudyBench: Can Self-Evolution Squeeze Textbooks for Olympiad Capability?
Humans need to study only a handful of well-written textbooks to master a discipline and attempt its hardest problems. W…
行业动态 HuggingFace Daily Papers · 9-1 阅读 26·访客 26
RAG 的成本账：一次检索到底花多少钱
一次 RAG 请求到底花多少钱？查询向量化几乎免费，检索只要几厘，生成环节却吃掉九成账单。本文把成本拆成一次性入库与每次请求两栏，给出各环节的量级估算方法与七个省钱杠杆，以及一条先砍生成、再调检索的平衡框架，帮你把预算花在真正影响账单的地方。
一叶一世界 精选 · 原创 · 今天 阅读 4·访客 4
长上下文与 RAG：窗口越大，检索越没用了吗
窗口从 8K 涨到千万级，「RAG 已死」论再起。但评测数据显示有效上下文远小于宣称窗口，长输入的成本与延迟也要另算一笔账。本文用论文与定价证据拆解两者分工：小库精读交给长窗口，大库「找得到、读得起」仍靠检索。
一叶一世界 精选 · 原创 · 今天 阅读 4·访客 4
新可乐复盘：1985 年最贵的口味测试，为什么输给了情感
1985 年 4 月，可口可乐拿着约 20 万人次盲测的胜利数据，换掉沿用 99 年的配方，79 天后在抗议声中把老配方请了回来。本系列首篇海外历史案例，拆解「改版背离型舆情」：数据测得出舌头，测不出身份认同；倾听、快速转身、借势回归的教科书三步，全写在这 79 天里。
行业动态 精选 · 原创 · 今天 阅读 3·访客 3
DeepTutor（HKUDS/DeepTutor）：单循环智能体、三层记忆与九种 RAG，把「AI 家教」做成可审计的学习操作系统
港大数据智能实验室出品，上线十个月拿下四万五千星：一条单循环 agent 流水线跑全部十种学习模式，L1/L2/L3 三层记忆全部落盘可审计，九种 RAG 引擎可评测可切换，自带十五路 IM 渠道与 EduHub 技能市场。
开源项目 精选 · 用户投稿 · 昨天 阅读 24·访客 18
操作系统内功 · 第 6 篇｜零拷贝：sendfile 与 Kafka 高吞吐的底层密码
同样是发文件，普通路径要 4 次拷贝 2 次系统调用，Kafka 却能在一台普通机器上把消费速率顶到网卡极限——差距就在零拷贝。本篇算清 read+write 的完整拷贝账单，讲透 sendfile 与 SG-DMA 的两档进化、splice 与 mmap 的取舍，以及 nginx 与 TLS 时代的现实约束。
后端技术 精选 · 原创 · 3天前 阅读 41·访客 40
OpenMobile-2 proves open-source smartphone agents can rival proprietary models
Oct 25, 2026 Nano Banana Pro prompted by THE DECODER Key Points The open-source OpenMobile-2 project trains AI smartphon…
智能体 The Decoder · 4天前 阅读 34·访客 34
Anthropic co-founder Jack Clark moves his prediction for self-improving AI forward to 2027
Manuel Uth Oct 25, 2026 Nano Banana Pro prompted by THE DECODER A new benchmark called TasteVal measures how well AI sys…
研究前沿 The Decoder · 4天前 阅读 19·访客 19
Anthropic says one AI agent beats many subagents now that models can handle complexity alone
Oct 25, 2026 Nano Banana Pro prompted by THE DECODER Key Points Anthropic recommends that companies evaluate whether the…
智能体 The Decoder · 4天前 阅读 29·访客 29
从 LTCM 崩盘看懂相关性坍塌：当「绝不会同时发生」同时发生
两位诺贝尔奖得主坐镇的明星基金，用 25 倍杠杆做「几乎稳赚」的收敛交易，四个月亏光 46 亿美元，最终需要 14 家银行联合注资才避免连锁崩盘。LTCM 的故事不是「聪明人犯蠢」，而是杠杆遇上相关性坍塌的必然剧本——本篇与硅谷银行、LDI 危机并读，是本站流动性三重奏的终章。
行业动态 精选 · 原创 · 4天前 阅读 9·访客 9
孩子不是难带，是气质不同：慢热型孩子的科学打开方式
同一句「跟阿姨打个招呼」，有的孩子张口就来，有的孩子往你身后缩——差异多半来自气质而非教养。本文从纽约纵向研究的三类型讲起，拆解「慢热」背后的杏仁核生理底色与「拟合优度」概念，用行为抑制研究的关键数字说明：风险不是注定的，抚养方式才是分岔口。
一叶一世界 精选 · 原创 · 4天前 阅读 66·访客 63
AI makes junior patent attorneys instantly better but may quietly stunt their professional growth
Oct 24, 2026 Nano Banana Pro prompted by THE DECODER A three-month field experiment with 133 patent attorneys shows that…
行业动态 The Decoder · 5天前 阅读 24·访客 24
From Toast to Bessemer: Who founders will hear from at TechCrunch Founder Summit 2026
Building a startup means making decisions before you have all the answers. When should you scale? How do you know you re…
行业动态 TechCrunch · 5天前 阅读 17·访客 17
Three fired OpenAI safety researchers say they were never told what they actually leaked
Manuel Uth Oct 24, 2026 Nano Banana Pro prompted by THE DECODER Key Points Three OpenAI safety researchers who were fire…
行业动态 The Decoder · 5天前 阅读 14·访客 14
You.com Launches Inference Router: 12 Open-Weight Models With 99.9% Uptime SLA
!(https://www.gstatic.com/images/branding/googleg/1x/googleg_standard_color_128dp.png)Add as a preferredsource on Google…
行业动态 MarkTechPost · 6天前 阅读 14·访客 14
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 10·访客 10
Is Complex Agentic Memory Always Needed? Naive RAG Is Stronger Than We Thought
LLM memory is widely used in long-term conversation understanding. Agentic memory systems often use mutation, structural…
智能体 HuggingFace Daily Papers · 10-22 阅读 25·访客 25