2026-08-03

AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis

👍 292

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 提出以声明为中心的化学文献综合基础设施 AskChem，解决现有检索系统仅返回文档列表、难以直接汇集分散发现的问题。支持定位信息、验证来源并组装结论，面向科学家和 AI 代理的文献综合任务。

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

👍 283

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 报告提出面向真实世界的下一代基础 GUI 智能体 Qwen-UI-Agent，目标是在真实设备上可靠运行，跨平台执行工作流，并结合 GUI 交互与 CLI 执行，完成长时程任务，推动 GUI 智能体从概念走向实际应用。

Metis: Memory Foundation Model

👍 256

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 Metis 提出记忆基础模型，将智能体的记忆能力内化为模型原生能力，摆脱对外部内存模块的依赖。针对当前记忆主要由外部模块实现的问题，构建原生记忆机制以支持多模态与推理模型，提升智能体长时程记忆的效率和表现。

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

👍 168

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 提出面向机器学习工程递归自改进的 AI4AI 模型 Frontis-MA1，并开源全栈系统 OpenMLE 作为研究测试床。覆盖可验证的流程，训练模型以改进 AI 构建过程，推动递归自改进能力在具体工程任务中的落地。

PhiZero: A World Model Built Around Physical Language

👍 159

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 PhiZero 构建以物理语言为核心的世界模型，用紧凑的离散世界状态转移表示替代像素空间直接预测。将底层动态显式编码，克服现有模型从高维视频中隐式推断物理规律的局限，提升世界模型的可解释性与泛化能力。

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

👍 89

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

中文介绍 DistillAlign 针对自回归视频蒸馏中 DMD 多阶段流程的不足，提出协调 mode covering 与 mode seeking 的方法，解决初始化阶段和 DMD 阶段目标分布不一致的问题，改进中间学生的评估与训练，提升视频蒸馏的稳定性和质量。

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

中文介绍 VideoCoCo 提出代码即思维链（Code-as-CoT）方法，通过智能体双引擎系统，将文本提示中的隐式时序演化为显式代码中间表示，生成物理一致的视频。解决文生视频模型难以从压缩提示推断物理动态的问题。

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

👍 49

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

中文介绍 研究扩大参数化长期记忆模块 Memory Decoder 的规模，解决仅解码器语言模型中记忆与推理纠缠、记忆容量难以独立扩展的问题。在更大规模上预训练并验证该模块，实现长期记忆能力与推理能力的解耦与扩展。

Beacon: Knowing When and How to Perform Agentic Visual Reasoning

👍 48

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

中文介绍 Beacon 重新审视智能体视觉推理，关注何时以及如何进行推理，以提升多模态大模型在复杂任务上的成功率，而非一味追求复杂但低效的推理范式。通过关键设计决策，在效率与效果间取得平衡。

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

中文介绍 通过受控缩放研究，系统比较词法检索、稠密检索、图索引和智能体搜索等 RAG 范式的准确率-成本曲线。发现在大规模场景下 BM25 等词法检索表现突出，为不同规模下 RAG 范式选择提供实证依据。

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

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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

中文介绍 CLBench-V 提出多模态上下文学习评测基准，覆盖从基础定位到知识获取的能力层级。现有评测多聚焦文本上下文，该基准扩展至多模态场景，评估模型从任务特定上下文中学习而非仅依赖预训练知识的能力。

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

中文介绍 ACE-Data-0 提出以人为中心的环绕捕捉作为具身数据引擎，同步记录第一人称感知、全身运动、灵巧操作、物体状态、声音与触觉等多模态信息。解决现有数据集对经验碎片化、模态割裂的问题，为具身智能提供更完整的训练数据。

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

中文介绍 面向角色扮演智能体（RPA）的交互式评测，提出人格对齐的用户模拟方法，摆脱借用他人历史对话的做法。通过模拟真实用户的个性化多轮交互，实现对 RPA 能力的可靠评估，支持系统比较与改进。

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

中文介绍 RefCaptioner 提出多参考图像锚定的视频描述新任务，要求生成事实性视频描述，并将局部视觉元素与多张参考图像进行短语级关联。弥补现有视频描述模型无法显式将视觉元素锚定到参考图像的缺陷。

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

中文介绍 MindForge 通过无源码程序合成，教小语言模型完成全生命周期软件工程任务。现有编码智能体擅长修改代码库，但从零构建完整程序仍是挑战；该方法使小模型在 ProgramBench 等基准上取得进展，缩小了与前沿模型的差距。

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

中文介绍 See2Think 探究多模态大模型在推理中是否真正依赖中间视觉状态（如草图、标注、工具和中间图像）。现有基准存在任务覆盖窄或可由文本解决等问题，该工作设计更严格的评测，检验模型对视觉状态的真实使用情况。

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

中文介绍 SpatialCLI 提出先使用空间工具进行时空推理、再脱离工具进行推理的学习范式，解决视觉语言模型在具身任务中难以精确推理空间关系的能力错配问题。通过工具辅助训练，使模型掌握空间推理能力，并在无工具时也能应用。

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

中文介绍 β-OPSD 将在线自蒸馏推广到一般形式，识别出原始 OPSD 是 β=1 的特例，并改进其结构脆弱性。通过策略优化推导、自蒸馏训练，提升推理语言模型改进的可靠性和稳定性，减少手工工程调参。

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

中文介绍 SpecFirst 将行为规格获取作为智能体从零程序合成的首要步骤。针对仅凭自然语言文档和可执行二进制从零构建程序的困难，先明确行为规格，再引导生成代码，提升智能体在 ProgramBench 等场景下的成功率。

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

中文介绍 ShadowDancer 提出从视频及其影子中学习统一动态表示的方法，支持交互式视频世界模型的任意动作、帧级控制。解决现有动作接口要么编码松散、要么依赖结构化信号的表征问题，实现更精确灵活的动作控制。

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 发布通用多模态生成模型 H3，统一理解文本、图像、视频和音频上下文，可生成带原生立体声的视频。模型为开放权重，打破任务与模态之间的边界，面向跨模态生成场景。

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 OpenAI 推进 AI 智能体：ChatGPT 现已能在操作电脑的同时与人进行自然语音对话，语音交互与桌面操控并行，向自主代理迈进一步。此为 AI 新闻汇总中的重点动态。

PayBox 101

@moonpay · 421.1K 粉丝 · 32.0K 阅 · 547 赞 · 62 转

08/02 21:18

MoonPay, the global financial technology company powering the movement of value across fiat and digital assets, has launched PayBox, the first payment vault built for AI that lets a person's AI agent

中文介绍 MoonPay 推出 PayBox，据称是首个专为 AI 打造的支付保险库，让用户的 AI 智能体能代表其在法币和数字资产间转移价值，打通 AI 自主支付场景。

[AINews] not much happened today

Latent Space · 08/01 09:38

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

中文介绍 Latent Space的AI新闻简报显示，当日除DeepSeek发布V4-Flash 0731外，几乎没有其他重要动态，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公布数学与理论计算机科学领域的十项新进展，涵盖几何、密码学和复杂性理论等方向，涉及多个长期未解问题。

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介绍其安全、安保、透明度和来源管理实践如何支持欧洲负责任AI治理，相关工作将随着欧盟AI法案推进而继续。

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“富足智能”的全栈方法，目标是使先进AI更强大、更可负担，并得到更广泛的应用。

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 Univé借助ChatGPT Enterprise打造AI-ready员工队伍，通过领导力、负责任治理与员工主导创新相结合，实现大规模工作转型。

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推出DeepSeek-V4-Flash API公开测试版，据称在架构和规模不变的情况下训练后性能大幅提升，Terminal-Bench得分82.7，GPT-5.6 Luna得分51，每任务成本降低约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 Latent Space报道，GPT-5.6价格下调20%-80%，得益于GPT-5.6递归自优化，GPT-5.4智能成本四个月内下降13倍，评论称“蒸馏即一切”。

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 OpenAI打击了一个位于柬埔寨的诈骗团伙，该团伙利用ChatGPT实施投资、婚恋、赌博和冒充他人等诈骗活动。

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

TLDR AI · 07/31 08:00

中文介绍 TLDR AI简报回顾三项重要动态：Inkling-Small模型发布、GPT-5.6大幅降价、Gemini Robotics 2亮相。

GPU Management: Why Idle GPUs Are the New Grounded Aircraft

Hugging Face Blog · 07/30 23:09

中文介绍 Hugging Face博客探讨GPU资源管理，将闲置GPU比作停飞的飞机，强调避免算力浪费、提升利用率的重要性。

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 谷歌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工程师正在重新发现本体，用以将概率性智能体约束在确定性边界内。

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 Tech Review报道，研究团队在机器学习顶会ICML上指出，大语言模型因工作原理的根本缺陷而无法完全防御攻击，该论断影响巨大。

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 Luna和Terra更低的定价，并展示更高效的模型如何帮助企业大规模部署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 OpenAI大幅下调GPT-5.6 Luna价格80%、Terra价格20%，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；同时ARC-AGI-3基准引发讨论。