2026-07-31

TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM

👍 120

07/29 08:00

Vision-language-action (VLA) models commonly adopt an LLM-centric V to L to A pathway, where visual observations are projected into the representation space of a large language model before being decoded into robot actions. Although effective, this design incurs substantial computation and memory ov

中文介绍 提出TurboVLA，一种实时视觉-语言-动作模型，在RTX 4090上以32 Hz运行且VRAM占用<1 GB。通过优化VLA的LLM中心通路，减少计算和内存开销，实现高帧率机器人控制。

A New Role for Relevance: Guiding Corpus Interaction in Agentic Search

👍 87

07/27 08:00

Relevance is a query-dependent estimate of whether a document or excerpt contains useful evidence. Existing retrieval agents use relevance to select top-k content, but document relevance alone cannot localize, compose, or verify the evidence required by complex questions. Direct Corpus Interaction (

中文介绍 提出将相关性重新用于引导智能体搜索中的语料库交互，超越简单top-k选择。通过直接语料库交互来定位、组合和验证复杂问题所需证据，提升检索代理效果。

CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents

👍 77

07/28 08:00

Coding agents repeatedly search, navigate, and retain context from evolving repositories, but disconnected indexes, language servers, and task-local histories force repeated discovery and obscure lifecycle costs. CodeNib builds reusable lexical, dense, and structural views per repository commit, map

中文介绍 提出CodeNib，一个多视图数据系统，为编码智能体提供仓库上下文。通过为每次提交构建可复用的词法、密集和结构视图，映射到版本化语义块，减少重复发现和生命周期开销。

CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization

👍 74

07/28 08:00

Rubric-based reinforcement learning enriches language model training by evaluating model outputs against explicit criteria. Yet in GRPO-style pipelines, these structured judgments are reduced to a scalar response-level reward and converted into a response-level advantage, which is broadcast uniforml

中文介绍 提出CoRT（反事实回放），在token级别进行基于评估标准的策略优化。针对GRPO管道中结构化评判被简化为标量奖励的问题，通过反事实回放提供更细粒度的训练信号，提升语言模型训练效果。

ReDesign: Recovering Editable Design Structures from Images via Agentic Decomposition

👍 58

07/28 08:00

Recovering an editable design file from a raster image is a common and costly bottleneck in modern design workflows, yet remains challenging since editability depends on recovering multi-modal attributes, such as typography, vector geometry, colors, grouping, and layer ordering. We present ReDesign,

中文介绍 提出ReDesign，通过智能体分解从栅格图像中恢复可编辑设计结构。重建多模态属性（排版、矢量几何、颜色、分组和图层顺序），解决设计工作流中从图像到可编辑文件的关键瓶颈。

DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space

👍 54

07/28 08:00

Text-space optimization adapts large language models (LLMs) by editing external natural-language artifacts rather than model weights, so the optimized artifacts remain inspectable and the model can be treated as a black box. However, most existing text-space methods keep evaluation fixed. On open-en

中文介绍 提出DecoEvo，在文本空间中协同演化求解器与评估标准生成器技能。通过解耦分数，使优化过程动态生成评估标准，提升开放任务适应性，保持模型黑盒可解释性。

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

👍 40

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 提出CLBench-V，评估多模态上下文学习能力，从基础定位到知识获取。弥补现有评估只关注文本上下文的不足，覆盖视觉和多模态场景中的上下文学习基准。

CAST: Game Solvers as Turn-Level Teachers for LLM Agents

👍 29

07/28 08:00

Training large language models (LLMs) to act in long-horizon games is a promising step toward generalist decision-making, yet reinforcement learning with verifiable rewards (RLVR) relies on sparse final rewards that reveal little about which decisions determine success. Denser process signals could

中文介绍 提出CAST，利用博弈求解器作为回合级教师，为LLM智能体提供密集过程信号。通过细粒度反馈弥补稀疏最终奖励的不足，改善长周期游戏决策训练。

Pass the Baton: Trajectory-Relayed On-Policy Distillation

👍 28

07/28 08:00

On-policy distillation (OPD) grounds token-level supervision in the student's own trajectory, yet suffers from prefix failure: once the student commits to a wrong reasoning direction, all subsequent generation builds on this deviation, producing misdirected continuations that elicit unreliable super

中文介绍 提出Pass the Baton（轨迹接力在线蒸馏），解决在线蒸馏中的前缀失败问题。通过接力切换正确推理方向，避免学生陷入错误路径，提升监督信号可靠性。

Keep It InMind: Benchmarking the Implicit-Association Blind Spot in Agent Memory

👍 28

07/27 08:00

Long-term memory systems store what a user says in an external store and retrieve it when a related query arrives. This interface rests on an assumption so natural that it is rarely stated: a memory that is needed will resemble the query that needs it. World knowledge breaks the assumption. A tree-n

中文介绍 构建Keep It InMind基准，揭示智能体长期记忆系统中的隐含关联盲点。传统假设所需记忆与查询相似，但世界知识会打破该假设导致检索失败，该基准评估此问题。

Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model

👍 26

07/27 08:00

Standard vision-language models (VLMs) suffer from Moravec's paradox: they excel at complex offline visual reasoning but struggle with simple streaming perception tasks and process them inefficiently. We present Mage-VL, an efficient codec-native streaming foundation model for real-time multimodal u

中文介绍 提出Mage-VL，一种高效的原生编解码流式多模态基础模型。解决VLM在流式感知任务上的低效问题，实现实时多模态处理，在简单流式任务上表现优异。

SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution

👍 18

07/29 08:00

Large language model agents often encounter related yet distinct tasks that share reusable solution patterns. Yet standard agentic reinforcement learning treats tasks as independent episodes, while existing approaches to skill learning either focus on repeated attempts of one task or use pipelines w

中文介绍 提出SkillRise，一种用于跨任务技能演化的智能体强化学习方法。允许智能体在相关但不同的任务间共享和演化可重用解决方案模式，超越独立回合训练。

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

👍 17

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 提出MindForge，通过无源程序合成教授小语言模型全生命周期软件工程。针对从零开始构建完整程序的挑战，使小模型在ProgramBench等基准上取得突破。

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

👍 15

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 提出SpecFirst，将行为规范提取作为从零开始的智能体程序合成中的首要步骤。通过先明确规范，缩小从自然语言文档到完整程序构建的差距。

Visual prompt engineering for video models

👍 15

07/28 08:00

In the age of foundation models, a model is only as good as its prompt. For this reason, prompt engineering has become an essential technique for improving language model performance. Since video models are currently becoming foundation models for visual tasks (e.g., visual reasoning), we here ask w

中文介绍 研究视频模型的视觉提示工程，探索如何设计和优化视觉提示以提升视频基础模型在视觉推理等任务上的性能，类比语言模型的提示工程方法。

StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation

👍 13

07/29 08:00

Recent game world models can generate visually realistic and interactive environments conditioned on player actions. However, games are not defined by pixels alone; they are governed by explicit mechanics, namely state-dependent rules that control health reduction, skill activation, and game termina

中文介绍 提出StatePlay，一种状态感知的游戏世界模型，确保生成内容与游戏机制一致。维护健康值、技能激活、游戏终止等状态依赖规则，实现机制一致的交互生成。

Novel Claim or Déjà Vu? Rethinking "Contamination-Free'' Dynamic Evaluation for Multimodal Automated Fact-Checking

👍 13

07/26 08:00

Multimodal automated fact-checking (MAFC) verifies claims by retrieving and reasoning over external evidence. However, most existing static benchmarks risk contamination: they primarily consist of outdated claims verifiable using an LLM's internal knowledge without external evidence. This can inflat

中文介绍 重新思考多模态自动事实核查的「无污染」动态评估。指出现有静态基准存在污染问题（过时声明可凭LLM内部知识验证），提出动态评估以更准确衡量事实核查能力。

PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models

👍 13

07/27 08:00

We introduce PerceptionBench, a benchmark specifically designed to evaluate the atomic visual perception capabilities of Multimodal Large Language Models (MLLMs). Existing benchmarks often fail to isolate perception: holistic evaluations conflate perceptual errors with failures in reasoning or domai

中文介绍 提出PerceptionBench，专门评估多模态大语言模型的原子视觉感知能力。通过隔离感知错误与推理错误，提供更纯净的感知能力度量基准。

Can AI agents conduct open-ended AI research? Early evidence from two case studies

👍 12

07/29 08:00

Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether agents can carry out open-ended AI research is thin. Current evaluations either test agents on narrow, verifiable tasks, which excludes open-ended research, or submit AI-generated papers to blind pe

中文介绍 通过两个案例研究探索AI智能体能否进行开放性AI研究。现有评估局限于窄任务或论文盲审，本工作提供初步证据，表明智能体在开放研究中存在潜力与局限。

Parallel Decoding Distillation for Fast Image and Video Generation

👍 10

07/28 08:00

Generation in video diffusion or flow models is computationally expensive due to the slow and iterative sampling process. Current state-of-the-art (SOTA) acceleration methods heavily rely on variational score distillation (VSD) and adversarial losses to distill diffusion models into few-step generat

中文介绍 提出并行解码蒸馏方法，加速图像和视频生成。通过蒸馏扩散模型到少步生成器，避免变分分数蒸馏和对抗损失，实现快速采样同时保持生成质量。

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 推出个人购物智能，将分散在 40 家公司的用户品味整合到本地设备上，强调数据所有权而非广告商。

How to build an AI video studio in Claude Code:

@EXM7777 · 129.8K 粉丝 · 221.4K 阅 · 504 赞 · 36 转

07/28 22:13

I turned Claude Code into a working film studio and i'm going to hand you the complete system: the skills, the prompts, the loops, and the six-stage pipeline that ties them together each stage leans

中文介绍 用 Claude Code 搭建 AI 视频工作室的完整系统，包含技能、提示循环和六阶段 pipeline，附教程。

What's gone wrong with AI & labor — a thought experiment

@random_walker · 128.4K 粉丝 · 134.0K 阅 · 552 赞 · 54 转

07/29 01:56

A thought experiment that I think helps explain much of what’s gone wrong with AI and labor: Imagine an alternate universe in which — for whatever reason — no one ever published source code online.

中文介绍 通过思想实验解释 AI 与劳动力问题：假设一个从未有人在线发布源代码的平行宇宙，探讨技术扩散的后果。

The harness is all you need (mostly)

@github · 2.7M 粉丝 · 123.1K 阅 · 583 赞 · 69 转

07/29 04:28

A practical GitHub Copilot workflow for prototyping, planning, implementing, and reviewing software - without chasing every new AI tool. By @burkeholland If you’re feeling overwhelmed by AI right now,

中文介绍 GitHub Copilot 实用工作流，涵盖原型设计、规划、实现和审查，帮助开发者避免追逐每款新 AI 工具。

We rewrote our agent to run entirely in a Durable Object with Pi, Agents SDK and Code Mode

@Vercantez · 1.9K 粉丝 · 122.3K 阅 · 567 赞 · 44 转

07/29 00:19

We recently finished moving the camelAI agent off of virtual machines. The agent now runs inside a Cloudflare Durable Object, its filesystem lives in SQLite and R2, and it writes JavaScript instead of

中文介绍 camelAI agent 从虚拟机迁移到 Cloudflare Durable Object，文件系统使用 SQLite 和 R2，并改用 JavaScript 编写。

Here's exactly how to build your company brain (in 5 mins)

@DhravyaShah · 61.2K 粉丝 · 56.0K 阅 · 548 赞 · 36 转

07/28 14:16

Every company will have a company brain, whether they believe it or not. This is the bet that I'm making, and I'm constantly seeing very future forward startups come to us for their own setup. What is

中文介绍 5 分钟搭建公司“大脑”的方法，作者押注每个企业都需要一个专有智能系统，已有前沿初创使用。

GPU Management: Why Idle GPUs Are the New Grounded Aircraft

Hugging Face Blog · 07/30 23:09

中文介绍 文章讨论GPU闲置管理，将其类比为停飞飞机，强调优化GPU利用率以避免计算资源浪费的重要性。

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 DeepMind发布Gemini Robotics ER 2，通过视频理解、任务编排与多机器人协作实现机器人推理与协作，推动机器人应用阶跃变化。

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 AI工程师重新发现本体论，用于将概率性智能体约束在确定性边界内，推动语义网在AI系统中复兴。

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 研究团队在ICML 2026上指出，大型语言模型因工作原理存在根本性缺陷，无法完全安全，易受攻击，对AI安全影响深远。

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推出GPT-5.6，为Luna和Terra模型提供更低定价，以更高效模型帮助企业大规模部署AI工作流，提升性价比。

OpenAI tops ARC-AGI-3 📈, GPT-5.6 efficiency ⚙️, AlphaFold team dissolution 🧬

TLDR AI · 07/30 08:00

中文介绍 2026年7月30日AI动态：OpenAI在ARC-AGI-3基准测试中领先，GPT-5.6效率提升，AlphaFold团队解散。

[AINews] AI is eating Finance; AIE NYC now open

Latent Space · 07/30 07:32

a quiet day lets us cover how AI is permeating financial services as the next big vertical after coding.

中文介绍 AI正在渗透金融服务，成为继编程之后的下一个垂直领域；同时AIE NYC现已开放。

We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control

DeepMind Blog · 07/30 00:02

中文介绍 DeepMind在Google Flow Music中推出Lyria 3.5，在音乐性、歌词、人声和创意控制方面实现进展。

How enabling two settings tripled our scores on the ARC-AGI-3 benchmark

OpenAI News · 07/29 23:00

How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction.

中文介绍 OpenAI通过启用两个API设置，在ARC-AGI-3基准测试中将GPT-5.6得分提升三倍，通过保留推理和启用压缩提高效率。

Accelerating scientific discovery with ChatGPT for Academic Researchers

OpenAI News · 07/29 18:00

OpenAI is giving 100,000 academic researchers free access to ChatGPT's most advanced AI models to accelerate scientific research, collaboration, and discovery.

中文介绍 OpenAI向10万名学术研究人员免费提供ChatGPT最先进AI模型，以加速科学研究、协作与发现。

The AI Hype Index: Unsexy AI

MIT Tech Review AI · 07/29 16:42

It feels bad enough when an open letter signed by leading economists warns that AI might steal your job. The fact it may soon be better than you at making dinner? Insult to injury. But that’s exactly what the company 1X promised when it showed off a pair of new, impressively dexterous (and, to some,

中文介绍 MIT Tech Review的AI炒作指数聚焦“不性感AI”，提及1X公司展示新型灵巧机器人，在烹饪等任务上优于人类，引发AI取代就业的讨论。

not much happened today

Smol AI News · 07/29 13:44

**OpenAI's agent security incident expanded beyond Hugging Face, affecting four additional accounts and highlighting the need for stronger enterprise hardening measures like sandboxing and audit trails. The ongoing debate around "pacing the frontier" involves calls for coordinated slowdowns and gove

中文介绍 OpenAI智能体安全事件波及Hugging Face之外四个帐户，凸显沙盒和审计追踪等企业强化措施的必要性；关于AI发展节奏的辩论持续。

[AINews] Fearing RSI: OpenAI, Anthropic, GDM, Meta, Thinky cosign letter to "Pace" AI development, as HuggingFace details Machine-Speed Offensive Cyberattack

Latent Space · 07/29 08:46

The Big Pause is coming.

中文介绍 OpenAI、Anthropic、DeepMind、Meta等联合签署公开信呼吁“节奏化”AI发展；HuggingFace详述机器速度的攻击性网络攻击。

How GPT-5.6 fuses frontier intelligence with frontier efficiency

OpenAI News · 07/29 08:00

GPT-5.6 improves AI efficiency across models, inference, and agentic workflows, helping deliver more useful intelligence per dollar.

中文介绍 GPT-5.6融合前沿智能与效率，提升模型、推理和智能体工作流的AI效率，实现每美元更实用的智能。

AI slowdown pact ⏸️, Personal superintelligence access 🌍, Grok Build Mode 🛠️

TLDR AI · 07/29 08:00

中文介绍 2026年7月29日AI动态：AI发展放缓协议签署，个人超级智能访问权限开放，Grok进入构建模式。