2026-08-02

AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis

👍 290

07/30 08:00

Chemistry literature synthesis often requires assembling specific findings scattered across many publications, yet existing literature-search systems primarily return ranked document lists. As a result, scientists and AI agents need to locate relevant information, verify their provenance, and assemb

中文介绍 化学文献综述需整合分散于多篇论文的发现，现有检索系统仅返回文档排序列表。AskChem 提出以 claim 为中心的文献综合基础设施，直接定位并验证具体研究发现，支持科学家与 AI agent 高效组装综述，提升可验证性。

Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents

👍 278

07/30 08:00

GUI agents have the potential to become a general purpose executor over existing digital devices. To advance them toward real-world use, we envision agents that operate reliably on real devices, execute workflows across platforms, combine GUI interaction with CLI execution, complete long-horizon tas

中文介绍 GUI agent 有望成为数字设备的通用执行器。Qwen-UI-Agent 面向真实世界中心设计，实现在真实设备上可靠操作、跨平台工作流执行、GUI 与 CLI 结合以及长时任务完成，推动 GUI agent 从演示走向实际部署。

Metis: Memory Foundation Model

👍 254

07/29 08:00

Recent advances in AI agents have increasingly internalized native capabilities into their underlying foundation models, giving rise to multimodal foundation models and large reasoning models. However, agent memory is still primarily implemented through external modules, leaving the native memory ca

中文介绍 AI agent 虽已内化多模态与推理能力，但记忆仍依赖外部模块。Metis 提出记忆基础模型，将记忆能力原生内化到基础模型中，为 agent 提供统一的记忆机制，减少对外部记忆系统的依赖。

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

👍 162

07/30 08:00

Recursive self-improvement (RSI) requires AI systems that improve the process of building AI (i.e., AI4AI); machine learning engineering (MLE) offers a concrete, executable testbed for studying this capability. We introduce OpenMLE, an open full-stack system for RSI research in MLE, spanning verifia

中文介绍 递归自我改进要求 AI 系统改进构建 AI 的流程（AI4AI）。提出 OpenMLE 开源全栈系统，并训练 Frontis-MA1 模型，在机器学习工程这一可验证测试床上探索 RSI 能力，覆盖可验证的代码生成与迭代优化等环节。

PhiZero: A World Model Built Around Physical Language

👍 156

07/30 08:00

We introduce PhiZero, a physical world model built around physical language, a compact discrete representation of world-state transitions. Existing physical world models typically predict future videos directly in pixel space, leaving the underlying world dynamics implicit within high-dimensional vi

中文介绍 现有物理世界模型直接在像素空间预测未来视频，潜在动态难以显式建模。PhiZero 引入 physical language——一种紧凑的离散世界状态转移表示，围绕它构建物理世界模型，使动力学学习更结构化和可控。

DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation

👍 88

07/29 08:00

Existing autoregressive video distillation methods commonly adopt a Distribution Matching Distillation (DMD)-based multi-stage pipeline. However, they typically decouple the initialization and DMD stages -- which then pursue different target distributions -- and judge the intermediate student mainly

VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System

👍 64

07/29 08:00

Text-to-video models have achieved remarkable visual quality, yet they still struggle to generate physically consistent dynamics because the temporal evolution of a scene must be inferred implicitly from a highly compressed text prompt. Existing chain-of-thought approaches introduce intermediate pla

Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory

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07/30 08:00

Decoder-only language models entangle long-term memory and reasoning in a single parameter set, making it difficult to scale memory capacity independently. Memory Decoder introduces a parametric long-term memory module but only studies it at a relatively small scale. In this work, we present Memory

Beacon: Knowing When and How to Perform Agentic Visual Reasoning

👍 46

07/30 08:00

The fundamental goal of agentic visual reasoning is to improve the success rate of multimodal large language models (MLLMs) on complex tasks, rather than merely equipping them with a sophisticated yet inefficient reasoning paradigm. In this work, we rethink agentic visual reasoning through two key d

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition

👍 44

07/28 08:00

Real-world tasks often require models to learn from task-specific context rather than relying only on pre-trained knowledge. While recent work has highlighted this capability as context learning, existing evaluations mainly focus on textual contexts. In many practical settings, however, the context

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms

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07/30 08:00

Retrieval-augmented generation (RAG) spans lexical and dense retrieval, graph-based indexing, and agentic search, but these paradigms are usually evaluated on different benchmarks at one corpus size, leaving their accuracy-cost scaling unclear. To bridge this gap, we present a controlled study that

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine

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07/30 08:00

Embodied intelligence faces a fundamental data bottleneck. Models must capture how first-person perception, whole-body motion, dexterous manipulation, object state, sound, and touch evolve together as humans pursue goals over time. Existing datasets fragment this experience across viewpoints, modali

Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation

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07/30 08:00

Role-playing agents (RPAs) have become one of the most important consumer applications of large language models. Users engage in multi-turn conversations with RPAs for experiences such as emotional comfort, making reliable evaluation essential for measuring capability, comparing systems, and guiding

RefCaptioner: Multi-Reference Image-Grounded Video Captioning

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07/30 08:00

Existing video captioning models generate natural descriptions of video content but cannot explicitly ground local visual elements to multiple reference images. We introduce multi-reference image-grounded video captioning, a new task requiring factual video descriptions with phrase-level reference g

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis

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07/29 08:00

Coding agents have made substantial progress on software engineering tasks that modify existing codebases, including bug fixing and feature implementation. However, constructing a complete program from scratch remains a major challenge: even the frontier models evaluated on ProgramBench fully resolv

See2Think: Do Multimodal Models Really Use Intermediate Visual States?

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07/29 08:00

Multimodal large language models increasingly use sketches, annotations, tools, and intermediate images during reasoning, but it remains unclear whether they truly rely on these visual states. Existing benchmarks are limited both by task collections with narrow coverage or partially text-solvable sa

SpatialCLI: Learning to Reason With Spatial Tools, Then Without Them

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07/30 08:00

Vision-language models (VLMs) are increasingly used in embodied agents to interpret visual inputs, reason about spatial relationships, and make task-level decisions based on that reasoning. However, a fundamental capability mismatch remains: general VLMs can reason about the overall task but often m

β-OPSD: Deriving with Policy Optimization, Training with Self-Distillation

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07/30 08:00

On-policy self-distillation (OPSD) is a promising approach to improve reasoning language models, but it remains brittle in practice: making it work reliably often requires substantial engineering effort. We identify a structural source of this difficulty: vanilla OPSD is precisely the β=1 member of

SpecFirst: Behavioral Specification Elicitation as a First-Class Step in Agent-Based Program Synthesis from Scratch

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07/29 08:00

LLM-based agents excel at software engineering tasks where an existing codebase provides context, but constructing a program from scratch remains fundamentally harder. Recent benchmarks such as ProgramBench quantify this gap: given only natural-language documentation and an execute-only binary as a

ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow

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07/30 08:00

We present ShadowDancer, a novel approach to any-action, frame-level control of interactive video world models. The obstacle is representational: existing interfaces either encode an action loosely, leaving how it unfolds for the model to improvise, or encode it exactly through structured signals th

You already own the most valuable thing in shopping. You just can't reach it.

@fridayresearch_ · 1.9K 粉丝 · 1.6M 阅 · 597 赞 · 451 转

07/31 01:30

Your taste is scattered across forty companies that each own a piece and answer to advertisers. FRIDAY is building the version you own — a personal shopping intelligence that lives on your device and

中文介绍 FRIDAY 正在构建“归用户所有”的个人购物智能：你的品味分散在 40 家公司手里，各自为广告主服务。它要把购物数据存于本地设备，打破平台割据，让个人数据不再被广告商变现。

MiniMax H3: An Open Model Breaking the Boundaries Between Tasks and Modalities

@MiniMax_AI · 107.4K 粉丝 · 42.3K 阅 · 696 赞 · 103 转

07/31 09:53

Today, we're launching MiniMax H3, a general-purpose multimodal generation model. H3 understands unified context across text, images, video, and audio, generating video with native stereo sound, up to

中文介绍 MiniMax 发布开源多模态生成模型 H3，统一理解文本、图像、视频、音频，可生成带原生立体声的视频。官方称其打破任务与模态界限，属于通用多模态模型的新一代探索。

AI News Roundup!

@AITECHio · 455.4K 粉丝 · 32.6K 阅 · 512 赞 · 110 转

07/31 19:58

ChatGPT Can Now Talk While Running Your Computer OpenAI has taken AI agents another step forward. You can now have a natural voice conversation with ChatGPT while it operates your computer in the

中文介绍 AI 新闻汇总：OpenAI 让 AI agent 再进一步，ChatGPT 现在可以一边操作电脑，一边与用户进行自然语音对话。这标志着代理从单纯执行指令，迈向实时交互协作的新阶段。

Anthropic Are Buying Rare Books, Feeding Them Into AI, Then Destroying Them.

@ActionModelAI · 57.6K 粉丝 · 6.8K 阅 · 521 赞 · 390 转

07/30 21:12

It sounds like the plot of a dystopian film. But according to recently released court documents, internal company communications, and a reported $1.5 billion settlement, it's something that has

中文介绍 据法庭文件与内部通讯，Anthropic 被指购买稀有书籍、喂给 AI 后销毁，还涉及 15 亿美元和解。听似反乌托邦电影情节，爆料称这是其获取训练数据的极端手段，引发伦理争议。

[AINews] not much happened today

Latent Space · 08/01 09:38

apart from DeepSeek V4-Flash 0731, a quiet day.

中文介绍 据Latent Space发布的AI新闻简报，当日AI领域除DeepSeek V4-Flash 0731发布外，没有太多其他重大进展，整体较为平静。

Ten advances in mathematics and theoretical computer science

OpenAI News · 08/01 08:00

OpenAI shares new results on long-standing open problems in mathematics and theoretical computer science, including advances in geometry, cryptography, and complexity.

中文介绍 OpenAI宣布在数学与理论计算机科学领域取得十项新成果，解决多个长期悬而未决的开放问题，涵盖几何、密码学与计算复杂性等方向，展示了AI在基础科学发现中的潜力。

Advancing responsible AI across Europe

OpenAI News · 07/31 23:00

OpenAI shares how its safety, security, transparency, and provenance practices support responsible AI governance in Europe. The work will continue as the EU AI Act advances.

中文介绍 OpenAI介绍了其在安全、安保、透明度和来源标注方面的实践，这些实践支持欧洲负责任的AI治理；随着欧盟《人工智能法案》推进，相关工作将持续开展。

Building abundant intelligence

OpenAI News · 07/31 23:00

A full-stack approach to making advanced AI more capable, more affordable, and more widely useful.

中文介绍 OpenAI阐述“构建充裕智能”理念，采用全栈方法提升先进AI能力，同时降低成本并扩大普及度，使先进AI更强大、更实惠、更广泛可用。

Univé builds an AI-ready workforce

OpenAI News · 07/31 15:00

See how Univé built an AI-ready workforce with ChatGPT Enterprise by combining leadership, responsible governance, and employee-led innovation to transform work at scale.

中文介绍 保险公司Univé通过ChatGPT Enterprise，结合领导力、负责任治理与员工主导创新，打造具备AI能力的工作队伍，实现大规模工作方式转型。

not much happened today

Smol AI News · 07/31 13:44

**DeepSeek** launched the public-beta of **DeepSeek-V4-Flash API**, boasting a significant post-training performance leap without architecture or size changes, achieving a **Terminal-Bench score of 82.7** and nearing **GPT-5.6 Luna's 51** score at about **60% lower cost per task**. The model feature

中文介绍 DeepSeek发布DeepSeek-V4-Flash API公开测试版，称在架构与规模不变情况下训练后性能大幅提升，Terminal-Bench得分82.7，每任务成本较GPT-5.6 Luna降低约60%。

[AINews] GPT 5.6 price cut by 20%-80%: Cost of GPT 5.4 Intelligence dropped 13x in 4 months due to GPT 5.6 recursive self-optimization

Latent Space · 07/31 12:40

Distillation is all you need!

中文介绍 据Latent Space AI新闻，GPT-5.6价格下调20%至80%；受GPT-5.6递归自我优化影响，GPT-5.4的智能成本四个月内下降13倍。文章强调“蒸馏即所需”。

Disrupting a Criminal Scam Operation

OpenAI News · 07/31 08:00

OpenAI disrupted a Cambodia-based scam operation using ChatGPT to support investment, romance, gambling, and impersonation schemes.

中文介绍 据OpenAI官方消息，该公司宣布破坏了一个位于柬埔寨的诈骗运营网络，该团伙利用ChatGPT实施投资、婚恋、赌博和身份冒充等诈骗活动。

Inkling-Small 🧠, GPT-5.6 price cuts 💸, Gemini Robotics 2 🤖

TLDR AI · 07/31 08:00

中文介绍 TLDR AI于2026年7月31日发布简报，聚焦三大AI动态：新模型Inkling-Small、GPT-5.6价格下调，以及Gemini Robotics 2机器人技术进步。

GPU Management: Why Idle GPUs Are the New Grounded Aircraft

Hugging Face Blog · 07/30 23:09

中文介绍 Hugging Face博客文章探讨GPU管理，指出空闲GPU如同停飞的飞机，意味着昂贵的算力资源被浪费，强调应通过优化调度提升利用率。

Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration

DeepMind Blog · 07/30 23:00

Gemini Robotics ER 2 helps robots reason, collaborate, and solve real-world tasks. It represents a step change in video understanding, tool orchestration, and multi-robot collaboration for robotic applications.

中文介绍 Google DeepMind发布Gemini Robotics ER 2，帮助机器人推理、协作并解决现实任务，在视频理解、工具编排和多机器人协作方面实现阶跃式进展。

Ontologies Are So Back: Why AI Agents Are Reviving the Semantic Web

Latent Space · 07/30 19:17

AI engineers are rediscovering ontologies as a way to keep probabilistic agents inside deterministic boundaries.

中文介绍 Latent Space文章指出，AI工程师正重新重视本体论，将其作为把概率型AI智能体约束在确定性边界内的方法，语义网概念在智能体系统中再度兴起。

A fundamental flaw leaves LLMs strikingly vulnerable to attack

MIT Tech Review AI · 07/30 18:15

It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month. The claim has huge implications for the saf

中文介绍 MIT Technology Review报道，研究团队在本月国际机器学习大会（ICML）提出论文，认为由于工作原理存在根本缺陷，大型语言模型无法完全抵御黑客攻击，该论断影响重大。

Advancing the price-performance frontier with GPT-5.6

OpenAI News · 07/30 18:00

Explore lower GPT‑5.6 pricing for Luna and Terra—and how OpenAI’s more efficient models help enterprises deploy AI workflows at scale.

中文介绍 OpenAI公布GPT-5.6针对Luna和Terra的更低价格，并介绍更高效的模型如何帮助企业在规模上部署AI工作流，推动性价比前沿。

not much happened today

Smol AI News · 07/30 13:44

**OpenAI** aggressively cut prices for **GPT-5.6 Luna** by 80% and **Terra** by 20%, introducing a faster **Sol Fast** tier with up to 2.5× lower latency at double the price, improving agent workflow costs by roughly 10×. The **ARC-AGI-3** debate highlighted that the complete agent system, including

中文介绍 Smol AI新闻称，OpenAI大幅下调GPT-5.6价格，Luna降80%、Terra降20%，并推出更快的Sol Fast档位，延迟最高降低2.5倍但价格翻倍，智能体工作流成本改善约10倍；ARC-AGI-3基准引发讨论。