2026-09-02

Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions

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08/31 08:00

End-to-end weather forecasting systems produce skillful global gridded and station forecasts directly from raw Earth observations, replacing the numerical weather prediction pipeline, including data assimilation, at a fraction of its cost. These systems are deterministic and issue no uncertainty. He

LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation

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08/31 08:00

Embodied navigation requires agents to translate heterogeneous goals and visual observations into actions across tasks, environments, and robot embodiments. Modern vision-language models (VLMs) already encode spatial priors for visual grounding, spatial reasoning, and pointing, but these capabilitie

Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social Interactions

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08/31 08:00

Strategic deception by LLM and VLM agents has emerged as a central AI alignment and safety concern. Social-deduction games (where each player holds a hidden role and communicates with others to deduce identities) serve as the canonical testbed, particularly in multi-agent settings. Existing testbeds

Verification-Aware Training for Speculative Decoding

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08/31 08:00

Speculative decoding accelerates large language model inference by using a draft model to generate candidate tokens, which are verified by the target model in a single forward pass. Verification proceeds sequentially and discards every position from the first rejection onward, yet existing draft tra

PaperBanana-Interact: Scientific Diagram Refinement with Multi-Turn Human Feedback

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08/31 08:00

Recent efforts have aimed to automate scientific diagram generation from paper content (Lin et al., 2026; Zhu et al., 2026a). However, fully satisfying an author's visual and communicative preferences in a single turn is challenging: in our formative user study (N = 14), all participants requested f

Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon Navigation

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08/31 08:00

Long-horizon physical-world agents must reason over distant goals while grounding decisions in reliable closed-loop behavior. Today's foundation models split these capabilities: vision-language models (VLMs) infer missing information and adapt high-level plans but remain brittle and inefficient at r

CogEvol: Towards Efficient and Reliable Learning Environment Generation

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08/31 08:00

We present CogEvol, a family of models trained specifically for Learning Environment Generation: turning a course brief into a finished learning artifact (structured-JSON slides or self-contained interactive HTML pages) in a single pass. Across 220k production requests, CogEvol completes a slide in

CAST: Critique-Aware Supervision for Training Reliable Long-Horizon Tool-Calling Agents

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08/31 08:00

Large language model (LLM) agents are increasingly deployed in long-horizon, interactive, and stateful environments. In these settings, a single wrong action, such as refunding the wrong purchase, can cause irreversible task failure and must be intercepted before execution. Such failures may not app

MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents

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08/31 08:00

AI agents in partially observable environments need to coordinate active sensing with working memory to maintain an evolving perceptual state. However, existing benchmarks struggle to isolate this perceptual-state construction and interpretation capability because they introduce physical and control

Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents

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08/31 08:00

Autonomous scientific research agents are increasingly applied to end-to-end scientific workflows, including literature review, data analysis, experimentation, and report generation. However, open-ended research tasks often do not clearly specify the analyses, methods, and success criteria required

Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence

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08/31 08:00

Recent advances in large reasoning models (LRMs) have shown that reinforcement learning with verifiable rewards (RLVR) can substantially improve reasoning in mathematics and code, where outcomes can be checked automatically. Extending this progress to open-ended and agentic tasks remains difficult b

PaperGym: Rubric-Centered Evolution for Research-Plan Generation

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08/31 08:00

Research planning is the decisive capability of AI scientists. Yet a research plan admits no verifiable answer, so reinforcement learning lacks the environment it requires: tasks paired with a critic. Rubrics extracted from scientific papers can supply the critic. Existing pipelines, however, draw t

Matrix-Game 3.5: Enhancing Real-Time Streaming Interactive World Models with Patch Memory

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08/30 08:00

Interactive world models extend video generation from offline clip synthesis toward persistent simulation of interactive virtual worlds, enabling applications in games, robotics, embodied agents, and XR. Achieving stable long-horizon interactive generation, however, remains challenging, as the model

Cross-lingual Functional Vectors for Emotion Detection in Large Language Models

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08/30 08:00

Function vectors (FVs) have recently emerged as a promising mechanism for steering the behavior of large language models (LLMs) by injecting task-specific latent direction representations derived from in-context demonstrations. While prior studies have shown that FVs can recover task behavior in str

CoVA-SFT: A Large-Scale Dataset for Chain of Visual Abstractions

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08/29 08:00

Chain-of-thought (CoT) reasoning has dramatically improved large language models (LLMs) by allowing them to decompose problems into intermediate steps. While CoT is widely effective for linguistic tasks, text-only CoT forces models to serialize visual problems into awkward prose. Although architectu

Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered

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08/29 08:00

Chain-of-thought (CoT) monitoring assumes that reasoning traces faithfully record the information that shapes a model's answer. Existing faithfulness tests often place explicit bias cues in the user message, while agents may encounter preferences through tool returns or raw artifacts. We introduce F

EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistants

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08/29 08:00

Large language models can generate interactive web interfaces, but reliable generative UI requires maintaining an executable artifact as user requests evolve. We introduce EvoGenUI-Bench, a benchmark for multi-turn interface maintenance comprising 150 five-turn tasks and 750 turns across three scena

Chat-Edit-3D++: Interactive 3D and 4D Scene Editing via Large Language Models

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08/29 08:00

Recent work on image content manipulation based on vision-language pre-training models has been effectively extended to text-driven 3D scene editing. However, existing schemes for 3D scene editing still have certain shortcomings, hindering their further development as interactive design tools. Such

Super Library Agent: Joint Generation and Maintenance of Multiple Applications Beyond the Single Codebase

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08/29 08:00

Organizations often develop and maintain portfolios of related applications: independently deployable codebases that share substantial domain logic, interface patterns, or operational conventions. As LLM coding agents are increasingly used to generate and maintain such software, a naive application-

Dynamic Important Example Mining for Reinforcement Finetuning

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08/29 08:00

Reinforcement fine-tuning (RFT) is increasingly used to strengthen the reasoning abilities of large models, yet its effectiveness is bound by how training data are selected and used. Most data-centric RFT methods rely on static or heuristic sample selection, implicitly assuming a sample's value is f

Evaluating the Hidden Costs of Personalization in Large Language Models

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08/28 08:00

While Large language models (LLMs) incorporate user personalization signals to improve usability and helpfulness, they increasingly shift from providing balanced, informative responses toward optimizing for user satisfaction when conditioned on personal context such as conversation history, inferred

Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents

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08/28 08:00

Interactive dialogue games test a capability that static benchmarks largely leave implicit: a model must carry state across turns, interpret feedback, and choose valid actions under changing constraints. We study this setting in the LM Playschool Challenge with a 2B open-weight model, and find that

EvoUndo: Recoverability-Constrained Self-Evolution for LLM Agent Harnesses

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08/28 08:00

LLM agents increasingly modify their own prompts, tools, middleware, resources, and execution harnesses at runtime. Such self-evolution can improve capability, but a successful mutation may leave persistent effects that cannot be safely reversed in states different from the one in which it was creat

Sliding-window beats linear attention

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08/28 08:00

Due to the nature of quadratic attention, Large Language Models (LLMs) consume a lot of memory and energy. Every new token costs more than the previous one. For each additional token, the keys and values must be stored in memory indefinitely, which is unsustainable. Several alternatives have been

LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering

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08/28 08:00

Loop Engineering is emerging as a practice for organizing development work around coding agents. Instead of writing each prompt by hand, practitioners design loops that monitor progress, assign work, run checks, and decide what the agent should do next. Even with a capable coding agent, a loop may t

Weaving Visual Narratives: Agentic Image Bundle Composition Beyond Atomic Visual Matching

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08/27 08:00

Image retrieval has traditionally been formulated as a point-wise matching problem, where each candidate image is scored in isolation. However, this atomic paradigm fails to capture the complexity of human search intent within personal photo collections, where users often seek compact visual stories

GGSS: Geodesic-Gated Spherical Steering for Inference-Time Debiasing of Generative Vision-Language Models

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08/26 12:58

Generative vision-language models (VLMs) are increasingly used in human-centered settings, yet they can produce demographically biased outputs even when images differ only in controlled attributes such as perceived race or gender. However, existing inference-time debiasers were largely designed for

Act with Intent: Distilling Behavior Intent for Vision-Language-Action Models

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08/24 08:00

Vision-Language-Action (VLA) models can turn multimodal context into robot actions, but their action decoders are still trained largely by behavior cloning. This supervises which motor command was demonstrated while leaving implicit the local objective served by the behavior under the instruction. F

Lost in Compression: A Controlled Cross-Lingual Audit of Extractive Prompt Compressors

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07/27 08:00

Extractive prompt compression promises to cut LLM inference costs by removing low-information tokens, and learned compressors such as LLMLingua-2 report strong results on English benchmarks. Most other languages already pay a token premium: the same content costs 1.3-1.8x more tokens than in English

SHAPE of Chain-of-Thought in Math Reasoning

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06/28 08:00

Large language models (LLMs) achieve strong performance on mathematical reasoning benchmarks, yet the mathematically meaningful skills underlying their reasoning remain underexplored. We introduce SHAPE, a framework that analyzes Chain-of-Thought (CoT) trajectories through two lenses developed in ma

Nobody is talking seriously about AI demand

@giovannicatt3 · 1.4K 粉丝 · 142.0K 阅 · 507 赞 · 56 转

09/01 23:51

AI capex for 2028 is forecast to be larger than the budget of France. Frontier AI labs’ revenue ramp justifies almost any number. Reflexivity in AI demand is a double-edged sword, and it's now a good

中文介绍 探讨2028年AI资本支出，指出AI需求的自反性是双刃剑，并分析其影响。

Department of War Launches OpenAI's ChatGPT Mil on GenAI.mil

@DoWCTO · 104.9K 粉丝 · 86.1K 阅 · 663 赞 · 139 转

08/31 22:25

The Department of War today launched OpenAI's ChatGPT Mil, marking it as the next frontier AI capability housed on GenAI.mil, the Department's premier generative AI platform. This

中文介绍 美国国防部推出ChatGPT Mil，将其作为GenAI.mil平台上的前沿AI能力。

Agentic Engineering Setup (after 2,000+ hours)

@DavidOndrej1 · 67.4K 粉丝 · 68.7K 阅 · 513 赞 · 40 转

08/31 21:59

Over the past 3 years, I've spent well over 2,000 hours coding with AI, and I've personally interviewed some of the most productive people in the space of Agentic Engineering. Below is my full Agentic

中文介绍 分享2000小时AI编码经验，介绍Agentic Engineering的设置。

Grok Bot for Engineering

@lingxi · 7.0K 粉丝 · 64.4K 阅 · 629 赞 · 44 转

09/01 02:31

I’m a SpaceXAI engineer building Grok Bot with Grok Bot. Think of Grok Bot as a highly capable engineering intern, with its own computers, that can manage coding agents and learn from how you work. It

中文介绍 介绍Grok Bot，一款具备独立计算机和AI技能的工程实习生工具。

Department of War Launches Starshield AI's Grok for Government on GenAI.mil

@DoWCTO · 104.9K 粉丝 · 57.5K 阅 · 924 赞 · 174 转

08/31 23:09

The Department of War today launched Starshield AI's Grok for Government, expanding the suite of frontier AI capabilities on GenAI.mil, the Department's premier generative AI platform.

中文介绍 美国国防部推出Starshield AI的Grok for Government，扩展GenAI.mil平台能力。

The Math of RL: From Policy Gradients to PPO and GRPO

@harshbhatt7585 · 3.1K 粉丝 · 48.0K 阅 · 500 赞 · 61 转

08/30 19:14

Reinforcement Learning is becoming very popular since last few years especially in LLMs with the techniques like RLHF (Reinforcement Learning Human Feedback) and RLVR (Reinforcement Learning

中文介绍 探讨强化学习在LLMs中的应用，包括RLHF和RLVR技术。

Your AGENTS.md is holding you back

@posthog · 24.3K 粉丝 · 43.7K 阅 · 503 赞 · 33 转

09/01 02:01

Context engineering used to focus on adding information that base models lacked: But then the models kept getting better. Now, the same context your agents couldn’t function without can make them

中文介绍 分析Context Engineering的发展，指出基模型改进对上下文工程的影响。

Using Grok Bot: 8 templates to get inspired

@mattyp · 57.4K 粉丝 · 29.7K 阅 · 508 赞 · 40 转

09/02 01:03

Templates are now available for Grok Bot, so I wanted to share my favorites. Templates contain the skills, memories, and official @bot plugins from your bots. When you use a template, you get a copy

中文介绍 分享Grok Bot的8个模板，帮助用户获得灵感。

A Lagrangian View of Flow Matching

@docmilanfar · 115.8K 粉丝 · 26.0K 阅 · 512 赞 · 56 转

08/31 12:36

This is a pedagogical post meant to offer an intuitive, bottom-up perspective on Flow Matching. If you have ever wondered why some models require hundreds of iterative steps to generate an image while

中文介绍 从拉格朗日视角介绍Flow Matching，提供直观的教学视角。

BenchMIRT: What are LLM benchmarks actually measuring?

Hugging Face Blog · 09/02 05:39

中文介绍 Hugging Face 博客探讨了 BenchMIRT 测量大型语言模型基准的实际情况。

Introducing agentic video understanding with Gemini

DeepMind Blog · 09/02 01:08

How AI-native companies turn workflows into operating capability

OpenAI News · 09/02 01:00

Basis, Clay, and Exa Labs use AI agents to improve onboarding, account management, and developer integrations. See what enterprise leaders can apply.

中文介绍 OpenAI 介绍了 AI 原生公司如何将工作流程转化为运营能力，以 Basis、Clay 和 Exa Labs 为例。

PRs NOT Welcome: How Top AI Open Source Projects Are Managing Thousands of Contributors

Latent Space · 09/02 00:17

Vercel’s AI SDK, Astro, Flue and tldraw are replacing drive-by community PRs with software factories, where teams of agents apply fixes and features.

中文介绍 Latent Space 讨论了顶级 AI 开源项目如何管理数千名贡献者，Vercel 的 AI SDK 等项目采用软件工厂模式。

Path to Astra: critical capabilities and frontier safeguards

OpenAI News · 09/01 21:00

Astra is the first OpenAI model to meet the Critical cybersecurity capability threshold under the Preparedness Framework, with stronger safeguards for release.

中文介绍 OpenAI 的 Astra 模型成为首个满足关键网络安全能力阈值的模型，并加强了发布前的安全防护。

Healthcare organizations can now connect EHR and additional industry data to ChatGPT

OpenAI News · 09/01 20:00

ChatGPT can now connect to trusted healthcare data, helping clinicians securely access patient context, medical research, and more.

中文介绍 ChatGPT 现在可以连接到可信的医疗数据，帮助临床医生安全访问患者背景、医学研究等。

[AINews] Fal’s H3 Max Live breaks the infinite videogen barrier

Latent Space · 09/01 12:36

You can now create decent video faster than you watch it. This is the start of... something. We’re not sure what.

中文介绍 Fal 的 H3 Max Live 打破了无限视频生成障碍，可以更快地创建视频。

Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI

Hugging Face Blog · 09/01 08:00

中文介绍 Hugging Face 推出 @huggingface/kernels，提供 200 多个 WebGPU 内核，用于本地 AI。

Muse Code 👨‍💻, Runway Solaris ☀️, OpenClaw 2.0 🤖

TLDR AI · 09/01 08:00

中文介绍 TLDR AI 报道了 Muse Code、Runway Solaris 和 OpenClaw 2.0 等新技术的发布。

The Hugging Face hack could indicate cultural issues at OpenAI

MIT Tech Review AI · 09/01 02:00

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. By now you’ve probably heard about last month’s major AI security incident, in which OpenAI agents escaped their sandbox and hacked into the AI platform Hugging F

中文介绍 MIT Tech Review AI 报道了 Hugging Face 的黑客攻击可能表明 OpenAI 存在文化问题。

OpenAI supports California’s bill to advance youth AI safety

OpenAI News · 08/31 15:00

OpenAI supports California SB 1119, advancing strong, age-appropriate AI safeguards for teens while preserving opportunities to learn, create, and explore.

中文介绍 OpenAI 支持加州 SB 1119 法案，旨在推进青少年 AI 安全。

Polimill builds Japan's next-generation public AI infrastructure

OpenAI News · 08/31 15:00

Polimill uses OpenAI GPT models and Codex to help municipalities search and use administrative knowledge while accelerating development.

中文介绍 Polimill 构建日本下一代公共 AI 基础设施，使用 OpenAI GPT 模型和 Codex。

not much happened today

Smol AI News · 08/31 13:44

**Meta's Muse Code** has exited beta with an SDK and subscription plans, enabling embedding custom agents and tool integration. **DeepSeek V4 Flash Vision** weights were released openly, adding vision parity with other models. **GLM-5.3 Flash** showed strong agentic cost/performance in benchmarks, r

中文介绍 Smol AI News 报道了 Meta 的 Muse Code 离开测试版，DeepSeek V4 Flash Vision 等新进展。

A milestone in expanding access to AI

OpenAI News · 08/31 12:00

ChatGPT Ads reaches $1 billion in annualized revenue run rate and expands globally, supporting broader access to AI through free and affordable options.

中文介绍 ChatGPT Ads 年收入达到 10 亿美元，并扩展到全球，支持更广泛的 AI 访问。

OpenAI Cursor split 💔, self-improving AI 🧠, GPT-6 Astra 🚀

TLDR AI · 08/31 08:00

中文介绍 TLDR AI 报道了 OpenAI Cursor 分裂、自我改进 AI 和 GPT-6 Astra 等新闻。