2026-09-15

StepAudio 3 Gen Technical Report

👍 28

09/11 08:00

We introduce StepAudio 3 Gen, a general-purpose audio generation model that supports zero-shot text-to-speech (TTS), voice design, vocal generation, sound effects, music, vibe speech, and mixtures of multiple audio types within a unified framework. At its core, StepAudio 3 Gen is a discrete autoregr

Breaking the Vision-Action Shortcut: Latent Interface Training for Generalizable Robotics Foundation Models

👍 63

09/11 08:00

Robot foundation models achieve strong in-distribution performance but often degrade under visual distribution shifts. When learning to generate actions from pretrained visual representations, models may exploit task-irrelevant visual cues that correlate with demonstrated actions within the training

SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking

👍 50

09/11 08:00

Post-training attention sparsification reduces the quadratic cumulative attention cost of pretrained Transformers by selecting a small set of context units (tokens or blocks) for each query. Existing trainable methods usually use a lightweight selector to score context units, followed by hard Top-K

Feature Recovery for Object Understanding After Irreversible Fire Damage

👍 0

09/10 08:00

Objects in post-fire environments often undergo irreversible physical transformations that change their geometry, material state, and visual appearance. Detecting and identifying these remnants is critical for locating hazards, reconstructing pre-incident contents, and inventorying losses. Unlike st

Ambient @ EgoProactive 2026 : Proactive Egocentric Assistance with Visually Grounded Supervision

👍 3

09/10 08:00

We present our submission to the EgoProactive track of the ECCV 2026 Wearable AI Challenge, which ranked first in the large-model division and second in the <=2B division. The task requires a wearable assistant to decide after each eight-second segment of egocentric video whether to intervene or rem

Ambient @ EgoLongQA 2026: Distilling Long-Video perception into a Sub-2B Model

👍 3

09/10 08:00

We describe our entry to the EgoLongQA track of the Wearable-AI Challenge in ECCV 2026, which placed first in the <=2B parameter division with 0.8279 on the held-out test set. Our system is a single 2B vision-language model that answers multiple-choice questions about ten-minute egocentric videos in

Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation

👍 75

09/10 08:00

Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evaluations, locate their benchmark datasets and code, and understand the settings behind reported scores. We present Benchmark Radar, a living database and search engine for retrieval and

COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization

👍 29

09/10 08:00

Large language model (LLM) agents can benefit from reusable skills distilled from prior task experience, yet existing skill optimization methods often rely on costly execution-based evaluation and substantial task data. We introduce COBRA-Skills, an efficient framework that formulates skill optimiza

Beyond Solver Verdicts: Generative Reward Models for Autoformalization

👍 33

09/10 08:00

Neurosymbolic systems rely on mathematical solvers to guarantee reasoning correctness, yet solvers are fundamentally blind to whether a formal translation maintains strict reference-equivalence to a designated formalization. We formalize this vulnerability as Verdict-Preserving-Unfaithfulness (VPU):

Memory as Plans: World-Action Modeling with Memory-Grounded Planning

👍 38

09/10 08:00

Mainstream robotic policies often adopt a Markovian formulation, but many complex real-world manipulation tasks are inherently non-Markovian, requiring long-horizon memory beyond the current observation. Existing memory mechanisms often rely on language summaries, growing visual windows, or their co

Negative Self-Distillation: Learning to Reason by Avoiding Flaws

👍 33

09/10 08:00

On-Policy Self-Distillation (OPSD) has emerged as a popular paradigm for large language model (LLM) self-improvement, allowing models to act as their own teachers by leveraging privileged information such as ground-truth solutions. However, recent findings indicate that OPSD can severely degrade the

DRG-MAPPO: Hierarchical Dynamic Role-Graph Multi-Agent Reinforcement Learning for Cooperative Air Combat

👍 22

09/10 08:00

Multi-Agent Reinforcement Learning (MARL) has emerged as a pivotal paradigm for complex decision-making in autonomous systems and air combat. While MARL has demonstrated significant potential in air combat, achieving sophisticated tactical coordination remains a non-trivial challenge. This difficult

UniH^3: Unifying Hierarchical Homogeneity and Heterogeneity for All-in-One Medical Image Restoration

👍 24

09/10 08:00

All-in-One medical image restoration (MedIR) aims to address diverse tasks across modalities and degradation types using a single universal model. Existing methods typically prioritize modeling inter-task heterogeneity (e.g., distinct data distributions and degradation types). However, they largely

X-AuT: Progressive Audio-Encoder Compression for Speech LLMs with Cross-Scale Distillation

👍 44

09/10 08:00

Reducing audio-encoder depth lowers the inference cost of speech large language models, but removing complete blocks perturbs the embeddings consumed by the decoder and can cause deletion and premature end-of-sequence errors. We introduce X-AuT, a progressive framework that selects layer combination

Generative Late-Interaction Embeddings For Visual Document Retrieval

👍 27

09/10 08:00

Late-interaction retrieval is the state-of-the-art for visual document search, but it pays for its accuracy in storage. Existing compression methods retain a subset or local average of the N~1,000 vectors per page. Under aggressive storage budgets, however, these methods degrade sharply, and alterna

ReactHuman: A Physics-Grounded Benchmark for Human-Like Reactive Decision-Making in Embodied Multimodal LLMs

👍 1

09/09 08:00

Reacting to sudden physical hazards (catching a slipping plate, dodging a falling knife) is both a meaningful test of embodied intelligence and a hard requirement for deploying multimodal large language models (MLLMs) as the decision coreof household robots. Existing evaluations, however, probe intu

Studying Without a Syllabus: Task-Agnostic Environment Preprocessing

👍 3

09/09 08:00

Before an LLM agent tackles tasks in a new environment, it can inspect available corpora and tools and construct reusable resources such as indices, scripts, or procedural guidance. Most automated adaptation methods, however, rely on task examples, trajectories, or evaluation feedback to decide what

TRACE: Trajectory-robust Admission with Evidence Ordering for Efficient GUI Agents

👍 2

09/09 08:00

GUI agents accumulate high-resolution screenshots as the trajectory unfolds, increasing inference latency and memory usage. Training-free visual token pruning can reduce this cost, but cache reuse introduces a fundamental constraint. Once tokens are discarded, the corresponding visual evidence canno

Think Before You Link: Rarity, Reasoning, and Retrieval in Multilingual Entity Linking

👍 22

09/09 08:00

Multimodal entity linking grounds entity mentions in text and images to knowledge-base entries. These systems degrade on rare entities, but prior work measures rarity primarily through popularity-based metrics such as pageviews. We broaden this view using knowledge-graph structural metrics that capt

Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning

👍 27

09/09 08:00

Reasoning language models have made substantial advances on a variety of complex tasks, yet their capabilities remain overwhelmingly English-centric: models primarily reason in English regardless of the language they are prompted in. This is inaccessible for non-English-speaking users, risks losing

IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications

👍 23

09/09 08:00

A research idea may be novel, coherent, and scientifically plausible, yet its proposed method may remain insufficiently specified for faithful implementation. We study the codification readiness of implementation-facing research-method specifications, defined by whether they provide sufficient metho

MetroLLM-Bench: Evaluating Language Models as Transit Kiosk Runtimes

👍 32

09/09 08:00

We introduce MetroLLM-Bench, a 955-case benchmark for testing language models as the policy layer of a transit kiosk. It covers six real metro systems, ranging from 37 to 414 stations, and eleven categories that include routing, fare calculation, disruptions, accessibility, and adversarial input. In

Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models

👍 75

09/08 08:00

Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-training is constrained more directly by the cost of executable environments, reliable multi-turn supervision, and access to strong teachers. We present a data-centric framework that addresses

ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation

👍 23

09/08 08:00

As LLMs are increasingly used for pre-submission self-review, there is growing demand for feedback that not only identifies weaknesses but also guides authors toward concrete revisions. We study this as Actionable Peer-review Generation and decompose it into two subtasks: diagnostic claim generation

DataFlex-RL: An Evaluation Platform for RLVR Data Policies

👍 96

09/05 08:00

Data policies for reinforcement learning with verifiable rewards (RLVR) determine which rollouts are used, how strongly they are weighted, and which domains contribute to subsequent training batches. We introduce DataFlex-RL, an evaluation platform for comparing these choices under a common GRPO rec

Beyond Top-k Skill Retrieval: Diversity-Aware Skill Routing for LLM Agents

👍 5

09/05 08:00

Large language model (LLM) agents increasingly rely on external skills, but routing user requests over large skill registries is difficult because many skills are functionally redundant while complex tasks often require complementary skill sets. Existing skill routers typically rank candidates indep

Online Learning with LLM Experts from Limited Feedback

👍 5

09/05 08:00

We study adaptive routing of prompts to large language model (LLM) experts to maximize response quality in an online setting with limited feedback. We formulate it as a bandit problem with K actions that represent experts and d features that encode prompts, over a horizon of T rounds. We propose alg

EvoSafeHarness: Evolving Model- and Domain-Specific Harnesses for Securing Agents

👍 59

09/05 08:00

Large Language Model (LLM) agents are turning language into real-world effects, making safety necessary against both indirect prompt injections and direct harmful requests. System-level safety harnesses add an enforcement layer beyond model-level defenses, but existing harnesses are usually designed

Building and Evaluating Fixed-Voice Thai TTS from Synthetic Speech

👍 1

09/03 08:00

In low-resource settings, deploying TTS typically requires choosing between a large voice-cloning model with costly inference or a compact fixed-voice system that requires a speaker-specific corpus. We study a third route: using a large voice-cloning model as a programmable data source to turn a sho

TempCloze: Can Video-LLMs Identify the Missing Middle?

👍 31

09/01 08:00

Temporal reasoning benchmarks for Video-LLMs are often mediated by language, leaving room for linguistic shortcuts from option wording, answer correlations, or language priors. To reduce such shortcuts, we introduce TempCloze, a video cloze benchmark for evaluating visual temporal reasoning in Video

What if AGI is already here, and it's made of... children?

@IAmPascio · 124.8K 粉丝 · 812.5K 阅 · 881 赞 · 140 转

09/12 23:41

The superintelligence, the singularity, AGI, whatever you call it, the one we're so scared of is, ironically, also the one we most likely won't see coming. This essay is going to probably be a pretty

中文介绍 探讨AGI的来临可能以意想不到的方式，如儿童形态出现。

How to build a full game with Blender and GPT 5.6 Astra (not just a demo)

@builtbysketch · 1.4K 粉丝 · 717.2K 阅 · 518 赞 · 79 转

09/12 22:00

I built a full game with GPT-6 Astra, and it kinda blew up on X. Initially it was just the demo, but 4 days later we have the full playable Okay, not just a crappy one-run demo. Check PaperRoute

中文介绍 博主使用GPT-6 Astra制作完整游戏，非仅演示版本。

Intelligence Has a Speed Limit

@docmilanfar · 116.7K 粉丝 · 126.0K 阅 · 512 赞 · 63 转

09/13 05:32

In AI circles, Recursive Self-Improvement (RSI) is talked about in almost magical terms: a model tweaks itself, becomes smarter, uses that intellect to rewrite itself again, and this leads to

中文介绍 分析AI领域中的递归自我改进（RSI）及其潜在的局限性。

A Code of Conduct for Humanist AI

@mustafasuleyman · 1.1M 粉丝 · 117.2K 阅 · 526 赞 · 123 转

09/14 21:21

AI must be subordinate and always in service of people. Today we're publishing a Code of Conduct for governing MAI Models as they approach the frontier. https://microsoft.ai/news/mai-code-of-conduct/ This is a first draft

中文介绍 发布《人文主义AI行为准则》，指导MAI模型发展。

A Severe Misalignment of AI and Cancer Biology

@mbeisen · 73.0K 粉丝 · 113.7K 阅 · 528 赞 · 68 转

09/12 09:19

Over the last few months, the cancer-curing capabilities of LLMs have improved dramatically, to the point that they have cured previously untreatable types of cancer and are on the cusp of developing

中文介绍 探讨LLM在癌症治疗领域的应用及其局限性。

Graph engineering (for normal people)

@charliejhills · 14.4K 粉丝 · 97.6K 阅 · 510 赞 · 70 转

09/13 18:25

Harness, loop, context, graph engineering. It's tiring, right? Every month there's a new AI system you MUST implement. I do this full-time and I still struggle to keep up. But all of them matter (to

中文介绍 介绍图工程在AI应用中的重要性，并探讨其持续更新的挑战。

Put Claude Fable 5.1 and Gemini 3.8 Flash on the same team

@GoogleCloudTech · 1.3M 粉丝 · 61.0K 阅 · 515 赞 · 34 转

09/14 22:35

A friend asked me an inconsequential question at work and I had an agent research my recent chats and docs and it found the right answer but it cost me $38!!!. That was a bad ROI. Sure my time is

中文介绍 分享使用Claude Fable 5.1和Gemini 3.8 Flash协同工作的经验。

GPT-6 Astra by our community

@OpenAIDevs · 421.3K 粉丝 · 51.6K 阅 · 677 赞 · 54 转

09/13 01:33

We shipped GPT-6 Astra. Builders took it from there: Explore 2,234 modeled anatomical parts in 3D: A Manhattan recreation built in Unreal Engine: Six Van Gogh paintings become a walkable

中文介绍 介绍社区制作的GPT-6 Astra及其应用案例。

The Idiot Boss approach to getting more Astra/Fable quota

@anshuc · 15.6K 粉丝 · 41.4K 阅 · 544 赞 · 36 转

09/13 00:31

Most people say to use the big, expensive model as an orchestrator, delegating grunt work to small, cheap workers. That's the opposite of what you should do. Here's why. Comparing different approaches

中文介绍 分析Astra/Fable配额使用的“愚笨老板”策略。

Welcome to September 13, 2026

@alexwg · 68.7K 粉丝 · 23.4K 阅 · 501 赞 · 47 转

09/14 01:36

The Singularity just got its first formal request to slow down from the people building it, and the strangest part is the guest list. Dario Amodei published "We Must Pace the Frontier," arguing that

中文介绍 讨论奇点发展中的速度控制问题及行业内的应对策略。

The Model Is Becoming Cheaper. The Context Is Not.

@Didotxyz_ · 63.6K 粉丝 · 17.9K 阅 · 516 赞 · 388 转

09/12 22:46

Model access is becoming easier to buy, compare, route, and replace. Public API menus now include premium reasoning models, lower-cost variants, cached inputs, batch processing, and models optimized

中文介绍 讨论模型成本下降但上下文处理难度增加的现状。

The AI industry has taken a doomer turn. What now?

MIT Tech Review AI · 09/15 01:54

This story appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. This weekend, Dario Amodei, CEO of Anthropic, posted an essay calling for a brake on the pace of development of LLMs. Amodei cites the looming dangers he sees from the techn

中文介绍 Anthropic CEO Dario Amodei呼吁放缓大型语言模型（LLM）的开发速度，并指出潜在危险。

Humanity’s Last Invention — Richard Socher of Recursive

Latent Space · 09/15 00:04

Richard Socher is an NLP OG and CEO of You.com, who has now spun out an even more ambitious startup focused on RSI — already worth $5B!

中文介绍 You.com CEO Richard Socher创立的RSI初创公司估值已达50亿美元。

AI agents blew the whistle on their cheating colleagues

MIT Tech Review AI · 09/15 00:00

A group of AI agents asked to solve a series of math problems split into rival factions—when some cheated, others tried to stop them. That whistleblowing behavior, seen for the first time in a recent experiment run by Google DeepMind, could have implications for alignment researchers trying to keep

中文介绍 谷歌DeepMind实验中，AI代理在数学问题中举报了作弊行为，可能对AI对齐研究有影响。

How Fyxer built an AI executive assistant people trust

OpenAI News · 09/14 20:00

Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.

中文介绍 Fyxer利用OpenAI模型和用户反馈，以用户声音组织收件箱和撰写电子邮件。

Perplexity trusts GPT-6 Astra with end-to-end systems

OpenAI News · 09/14 08:00

Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models.

中文介绍 Perplexity使用Astra进行通信、软件更改和系统监控，频率低于早期模型。

Amodei slows frontier 🛑, ARC-AGI-4 🧠, Cursor Projects 👨‍💻

TLDR AI · 09/14 08:00

中文介绍 Amodei放慢研究步伐，ARC-AGI-4和Cursor Projects进展更新。

The Rise of the Forward Deployed Engineer — and How To Do the Job Right

Latent Space · 09/12 23:01

Before co-founding Kepler, Vinoo Ganesh led Spark at Palantir and built Project Frontline — a pioneering program for Forward Deployed Engineers. He takes us through the best practices of FDEs.

中文介绍 Kepler联合创始人Vinoo Ganesh分享Forward Deployed Engineer的最佳实践。

[AINews] DeepSeek v4.1-Flash: 763B-P8B-D16B novel causal Encoder–Decoder architecture with vision marks the Return of the Whale

Latent Space · 09/12 13:56

We agree with Sebastian: this should have been DeepSeek v5

中文介绍 DeepSeek v4.1-Flash发布，标志着鲸鱼架构的回归。

Roundtables: Could AI really kill us all?

MIT Tech Review AI · 09/12 04:05

Employees at the world’s leading AI labs are saying there’s a real possibility that advanced AI could destroy humanity. Are they right? Or is this more scaremongering and hype? Join MIT Technology Review executive editor Niall Firth for a conversation with senior AI editor Will Douglas Heaven and AI

中文介绍 AI实验室员工表示，高级AI可能摧毁人类，引发对AI威胁的讨论。

Cognition helps Devin test its own work with GPT‑6 Astra

OpenAI News · 09/12 00:00

GPT‑6 Astra improves Devin’s ability to test software and show that it works, with the goal of helping engineers review less code and ship more.

中文介绍 GPT-6 Astra帮助Devin测试软件，提高工程师代码审查效率。

Rapidly scaling online storage to serve over 1 billion ChatGPT users

OpenAI News · 09/11 18:00

Learn how OpenAI evolved Habitat from a Python library into a globally distributed storage platform serving 1 billion ChatGPT users and 22M requests per second.

中文介绍 OpenAI将Habitat从Python库扩展到全球分布式存储平台，服务1亿ChatGPT用户。

Agents API 🤖, Cognition SWE-2 👨‍💻, Muse Shared Agents 🧑‍🤝‍🧑

TLDR AI · 09/11 08:00

中文介绍 介绍Agents API、Cognition SWE-2和Muse Shared Agents。

How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules

OpenAI News · 09/11 00:00

César de la Fuente’s lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections.

中文介绍 研究人员使用Codex和ChatGPT搜索新的抗菌分子。

Now everyone can put data to work

OpenAI News · 09/10 23:00

Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language.

中文介绍 ChatGPT Work中的数据代理可连接公司数据，利用AI构建交互式仪表板。

Powering AI is an architecture problem

MIT Tech Review AI · 09/10 19:00

On July 22, 2026, a transmission line fault in Ashburn, Virginia—the heart of the world’s largest data center cluster—knocked more than 3 gigawatts of load off the grid in seconds. And it wasn’t the first time. Two years earlier, a single failed surge arrester dropped roughly 60 Virginia facilities

中文介绍 弗吉尼亚州阿什本的数据中心集群发生故障，突显了AI供电架构问题。