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

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

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

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

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

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

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

👍 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

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

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

👍 46

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

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

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

👍 36

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

👍 31

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

👍 25

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

👍 23

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?

👍 22

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

👍 21

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

👍 19

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

👍 18

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

👍 16

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

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发布开放模型H3，定位通用多模态生成模型：统一理解文本、图像、视频与音频上下文，可生成带原生立体声的视频。该模型打破任务与模态边界，为跨模态创作提供新底座。

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代理能力：ChatGPT现可在操作电脑的同时与用户进行自然语音对话。用户通过语音指令即可让ChatGPT控制电脑操作，交互更接近真人协作，属于AI智能体交互方式的升级。

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 金融科技公司MoonPay推出PayBox，称首个为AI打造的支付保险库。它让个人AI代理能够调动法币与数字资产，完成自主支付与价值转移，补全了AI代理在资金管理上的基础设施。

[AINews] not much happened today

Latent Space · 08/01 09:38

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

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.

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.

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.

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.

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

[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!

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.

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

TLDR AI · 07/31 08:00

GPU Management: Why Idle GPUs Are the New Grounded Aircraft

Hugging Face Blog · 07/30 23:09

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.

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.

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

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.

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