2026-08-18

A Pathway to General-Purpose Scientific AI: Multimodal Comprehension of Scientific Images

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08/14 16:34

Scientific figures and tables encode essential experimental evidence, yet remain difficult for digital libraries and multimodal AI systems to retrieve and interpret. The ALD/E-ImageMiner benchmark and ICDAR 2026 Competition on Information Extraction from Atomic Layer Deposition/Etching Scientific Fi

Nanbeige4.2-3B on Apple Silicon: Fixing Deployment Bugs and Decreasing Looped Transformer Memory Overhead

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08/14 08:00

Nanbeige4.2-3B is a 3B-parameter agentic model built around a Looped Transformer (LT) that reuses one stack of layers for a second forward pass, adding effective depth without additional parameters. Evaluated on Apple Silicon (MPS), we identify five independent bugs which prevent the released checkp

SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning

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08/14 08:00

On-policy distillation (OPD) offers a promising way to transfer reasoning capabilities from stronger teacher models, but applying it to long-context reasoning teachers and short-context students introduces practical challenges, including tokenizer mismatch, teacher-student distribution mismatch, res

CPI-Bench: A Comprehensive,Practical and Intelligent Benchmark for Real-World Image Editing

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08/14 08:00

With the rapid advancement of image editing models and their widespread application across various domains, there is an increasingly urgent need to deploy these model capabilities directly into real-world scenarios. However, existing benchmarks remain confined to simple single-image tasks, suffering

Scaling Domain Data Repetition in LLM Pretraining

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08/14 08:00

As large language models scale, their training-token budgets must also increase to maintain an appropriate tokens-per-parameter ratio (\(TPP\)). However, high-quality domain data is much harder to scale than general web data. As model size and the training-token budget increase, its fraction in the

Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination

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08/14 08:00

Recent video generators can fabricate realistic depictions of wars, disasters, public emergencies, and other real-world crises, creating substantial risks of misinformation. Existing benchmarks, however, provide limited evidence on detector and generator behavior in such settings, including how dete

SPARGen: Unifying Spatial Perception and Reasoning through Native Multimodal Generation

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08/14 08:00

Spatial perception and reasoning from visual observations require recovering geometric structure, establishing correspondences, and understanding spatial relations. Existing approaches typically address these capabilities separately using task-specific architectures or external geometric modules, li

Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning

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08/14 08:00

We introduce Mobius-v0, an architecture that comprises a globally shared Memory (FFN) that stores knowledge vectors and multiple Reasoners (Self-Attn) that iteratively achieve compositional reasoning. Using hidden states as cache and carrier, reasoners repeatedly query memory for required knowledge-

Marionette: Predicting World States, Rendering Geometry, Painting Appearance

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08/14 08:00

Interactive game world models typically autoregress visual observations directly in pixel or latent space, forcing structured properties such as pose, geometry, and occlusion to be implicitly maintained by the same generative sequence. Over long horizons, errors in these latent world properties accu

Second Thought: Reasoning in Parallel as LLM Agents Act and Observe

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08/14 02:04

LLM agents in the ReAct paradigm alternate between reasoning, acting, and observing, but deliberate reasoning is confined to the Thought phase: while the agent serializes an action and waits for the environment, its reasoning is frozen. We identify this recurring interval for Action and Observation

Amplified Does Not Mean Predictive: Reasoning Behaviors in Thinking Models

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08/13 08:00

Which reasoning behaviors are associated with correct answers in reasoning models, and does reasoning-oriented training amplify those behaviors? This distinction is important because reasoning-oriented training can make traces look more deliberative without amplifying the behaviors most tied to mode

Who Speaks Matters: Authority-Aware Multi-View RAG over Italian Parliamentary Proceedings

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08/13 08:00

Parliamentary proceedings are a primary record of democratic deliberation, yet their volume and fragmentation make multi-perspective access difficult for citizens, journalists, and researchers. Applying Retrieval-Augmented Generation (RAG) to parliamentary transcripts introduces three specific risks

DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data

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08/13 08:00

Current large language model development relies on massive, often non-permissible datasets, creating a high barrier for researchers committed to open-source and ethically sourced data. We introduce Mimir v1, a 1-billion-parameter language model based on the Hierarchical Reasoning Model (HRM) archite

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure

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08/13 08:00

Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skill acquisition is difficult, as prior exposure to related content is hard to characterize. To address this challenge, we introduce LITTLECURRICULUM, a curated 88B-token pretraining cor

Latent On-Policy Self-Distillation

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08/13 08:00

Enabling agents to learn from experience and internalize it into their policy has become a central problem in self-evolving AI. On-policy self-distillation (OPSD) offers an effective pathway by using a privileged self-teacher to provide dense supervision on the student's own trajectories; however, e

HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark

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08/13 08:00

Humanoid motion tracking is central to teleoperation and whole-body imitation, yet evaluation often disagrees with what people perceive in videos. Kinematic errors average per-frame pose differences but miss the physical artifacts that matter most, particularly unstable support and incorrect contact

Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development

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08/13 08:00

Autonomous agents are increasingly capable of improving models, systems, and other technical artifacts through long-horizon experimentation. To understand the current state of this capability, however, evaluation must go beyond final scores, which neither reveal where progress is gained or lost nor

Is this Citation on Point?

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08/12 08:00

In 2023, a New York judge sanctioned two attorneys in Mata v. Avianca for filing a brief with hallucinated citations generated by ChatGPT. Such failures are largely caught by database lookups; the harder problem is detecting citations that point to real cases but do not support the propositions for

Generation as Auxiliary Supervision: Enhancing Visual Understanding at Zero Inference Overhead via Decoupled Embedding Prediction

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08/12 08:00

While Multimodal Large Language Models (MLLMs) have achieved remarkable progress, visual understanding and generation are typically treated as divergent objectives. Existing unified frameworks often rely on discrete visual tokenization or diffusion objectives whose generative targets differ from the

Claim-Level Reliability Assessment for Efficient Test-Time Reasoning

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08/12 08:00

We propose claim-level falsification as a principle for test-time scaling and instantiate it through Claim-Level Reliability Assessment (CLR), a training-free framework that reallocates test-time compute from additional solution sampling to targeted verification. Since whole-trace evaluation often o

Hybrid-Policy Self-Editing for Composable Unstructured Knowledge Editing

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08/12 08:00

Large language models (LLMs) achieve remarkable performance across natural language tasks, yet they are trained on static corpora and their knowledge quickly becomes outdated in a fast-changing world. This motivates knowledge editing (KE), which updates specific knowledge in an LLM without changing

UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations

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08/11 20:01

Large Vision-Language Models (LVLMs) achieve impressive visual reasoning and dialogue capabilities, yet frequently hallucinate content unsupported by the visual input. Effective mitigation requires token-level localization, enabling targeted intervention without discarding the entire response. Exist

MobileMem: Learning from a Year of Mobile Experiences

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08/11 08:00

The next generation of AI agents is increasingly moving beyond systems that answer isolated questions toward persistent personal assistants that can understand, remember, and continuously learn from users' experiences. Such assistants require long-term memory to accumulate and leverage user-specific

Thought-Level Beam Search for Reasoning

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08/11 08:00

Test-time compute scaling is a primary driver of performance in large reasoning models (LRMs), but extreme inefficiency bounds current approaches, shifting the critical question from how much compute to spend, to where to allocate it. We formalize test-time reasoning as a constrained compute allocat

Multimodal Model Diffing for Feature Discovery and Control

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08/10 08:00

Multimodal Large Language Models (MLLMs) exhibit strong visual understanding, yet the internal features that cause these behaviors remain difficult to identify, audit, or control. While applicable to post-hoc inspection, hidden states that are decomposed into interpretable feature directions using s

Mitigating Gender Bias in English to Romanian Machine Translation

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08/09 08:00

Machine translation (MT) systems often fail to correctly translate gender, especially when converting from a gender-neutral language like English to a gendered target language such as Romanian. This bias results in translations that default to masculine forms or reinforce gender stereotypes. We prop

Maglev: Sliding Recurrent Memory

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08/05 08:00

We introduce , a recurrent Transformer architecture with fixed-size memory that generalizes sliding-window attention while remaining parallelizable during training. consists of two coupled models: a prefiller Q, which leverages full attentionIn practice, we use interleaved full and sliding-window a

Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems

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08/04 22:37

Clinical decision support is moving toward committees of language-model agents deliberating on a shared workspace. We ask whether such committees can be gamed by shortcuts, cues a benchmark rewards but a clinician would ignore. Across seven cohorts on six public datasets spanning text (MedQA-USMLE,

Verifier-Induced Support Reshaping in On-Policy Optimization

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07/31 08:00

We show that on-policy reinforcement learning with verifiable rewards (RLVR) can improve the current objective while making successful behaviors for later objectives too rare to sample and reinforce. We call this verifier-induced support reshaping and define effective rewardable support as successfu

Modular Cognitive Architecture Emerges in Large Language Models

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06/27 09:56

The human brain exhibits a striking degree of functional specialization, with distinct networks supporting language, formal reasoning, reasoning about other minds, and reasoning about the physical world. Is this modular organization a fundamental principle of how intelligent systems must be built, o

How to build a $2M video production pipeline

@EXM7777 · 131.5K 粉丝 · 172.8K 阅 · 516 赞 · 38 转

08/16 22:12

i'm giving you 7 free skills and the exact pipeline directors are using to produce AI films with millions of dollars in budget in higgsfield... the whole system revealed step-by-step, with the skill

中文介绍 分享价值 200 万美元的视频制作工作流程，提供 7 个免费技能及逐步操作指南。

Securing the Infrastructure of Intelligence

@JensenHuang · 1.0M 粉丝 · 110.9K 阅 · 1.9K 赞 · 234 转

08/17 20:40

Land, power and shell: The next critical resource for AI factories. AI factories are the defining infrastructure of the AI era—where compute transforms energy and data into intelligence that powers

中文介绍 探讨 AI 工厂基础设施的关键资源：土地、能源和壳体，AI 时代计算如何转化为智能。

Update to Pi App Studio Creation Pricing

@PiCoreTeam · 4.3M 粉丝 · 74.1K 阅 · 850 赞 · 222 转

08/18 06:19

Starting August 24, 2026, Pi App Studio will update how app creation and editing are priced. Until now, Pi has heavily subsidized the cost of creating and editing apps in App Studio for all creators.

中文介绍 Pi App Studio 更新定价策略，从 2026 年 8 月 24 日起调整应用制作和编辑的收费方式。

Grok Bot for GTM

@kristaletz · 4.2K 粉丝 · 41.6K 阅 · 513 赞 · 24 转

08/17 05:34

This is how I use Grok Bot for Enterprise GTM at SpaceXAI. When we were initially dogfooding this product internally, Grok Bot rapidly gained adoption throughout the company, and I created an internal

中文介绍 介绍如何使用 Grok Bot 在 SpaceXAI 进行企业级 GTM，分享内部快速推广经验。

The Holy Trinity - pi, herdr and opencode go

@TheGlobalMinima · 4.0K 粉丝 · 31.4K 阅 · 527 赞 · 17 转

08/16 03:26

tldr; my current AI coding setup is Pi, Opencode Go and Herdr This year, we are seeing a boom in harness engineering. What initially started as simple scaffolding around an LLM is now one of the most

中文介绍 分享 AI 编码环境配置，包括 Pi、Opencode Go 和 Herdr，探讨 harness 工程的兴起。

ORACLE: Confirmed AI Bots Actively Trading on Polymarket — Gains Reaching 200% Within 24 Hours

@OracleFndAI · 23.9K 粉丝 · 2.3K 阅 · 3.1K 赞 · 594 转

08/16 02:17

In 2026, autonomous AI agents have become one of the most effective strategies on prediction markets. Over 30% of all activity on Polymarket now comes from algorithmic and AI-powered wallets. We

中文介绍 报告 ORACLE 在 Polymarket 上使用 AI 机器人进行交易，24 小时内收益达 200%。

[AINews] Stripe buys OpenRouter for $7B

Latent Space · 08/18 07:13

No GPUs, no Agents, just really, really, really good infra and distribution.

中文介绍 Stripe 以70亿美元收购 OpenRouter。

Same Cluster, 33 Points More Utilization: What Changed Was the Order

Hugging Face Blog · 08/18 03:46

中文介绍 同一集群，GPU利用率提高33点。

What Flock’s defenders are missing

MIT Tech Review AI · 08/18 03:16

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Flock, the police-tech giant known for its network of some 120,000 automatic license plate readers around the US, announced some changes to its platform last Thur

中文介绍 Flock公司宣布对其自动车牌识别网络进行一些调整。

What happens when a kid’s robot best friend dies?

MIT Tech Review AI · 08/17 17:00

When Xander first met Moxie, she taught him that when he was anxious, he could calm down by exhaling through his lips so that he buzzed like a bee. They practiced breathing like dragons to manage feeling mad and sniffing like bunnies to boost his energy. But in the six years they’ve known each other

中文介绍 当孩子的机器人朋友去世时，它教会了他如何通过呼吸来放松。

not much happened today

Smol AI News · 08/17 13:44

**OpenAI** is advancing its power-and-compute infrastructure with a **4+ GW NVIDIA** capacity commitment and an **8 GW Ohio campus** buildout through **2032**, emphasizing vertical integration across power, data centers, and chips. The model access and routing API layer is becoming a competitive pri

中文介绍 OpenAI通过4+GW NVIDIA容量承诺和2032年之前8GW俄亥俄校园建设，加强其基础设施。

The Defender’s Window

OpenAI News · 08/17 13:30

AI is reshaping cybersecurity for attackers and defenders alike. Learn how OpenAI is strengthening its defenses and what security teams can do now.

中文介绍 OpenAI正在加强其防御措施，并指导安全团队采取行动。

OpenAI joins PORTS-Pike project

OpenAI News · 08/17 13:00

OpenAI joins PORTS-Pike project, expanding community investment and supporting thousands of Southern Ohio jobs

中文介绍 OpenAI加入PORTS-Pike项目，支持数千个南方俄亥俄州的就业岗位。

New policy ideas for the Intelligence Age

OpenAI News · 08/17 11:15

OpenAI funds 14 independent projects exploring new AI policy ideas to expand economic opportunity and strengthen societal resilience in the Intelligence Age.

中文介绍 OpenAI资助14个独立项目，探索人工智能政策新想法。

GLM-5.3 🤖, Stripe OpenRouter deal 💰, AI agent consensus 🤝

TLDR AI · 08/17 08:00

中文介绍 GLM-5.3发布，Stripe收购OpenRouter，AI代理共识达成。

React for Agents: Astro Creator Brings Hooks to his Meta-Harness, Flue

Latent Space · 08/15 23:46

Flue 2 takes its inspiration from React. Creator Fred Schott, of Astro fame, tells Latent Space why he added hooks and why agents are defined by their harnesses.

中文介绍 Flue 2从React中汲取灵感，增加hooks功能。

[AINews] Cursor's $60B acquisition by SpaceXai closes

Latent Space · 08/14 14:16

Congrats to the team!

中文介绍 Cursor公司以600亿美元被SpaceXai收购。

not much happened today

Smol AI News · 08/14 13:44

**Z.ai launched GLM-5.3**, a coding- and cyber-focused model with significant gains on agentic and security benchmarks, achieved through scaled post-training rather than a larger base model. **Alibaba released Qwen3.8-27B**, a native multimodal dense model under Apache 2.0 with a 262K native context

中文介绍 Z.ai发布GLM-5.3，阿里巴巴发布Qwen3.8-27B。

[AINews] Gemini 3.7 Flash brings GDM back to the forefront

Latent Space · 08/14 13:30

Down, but not out!

中文介绍 Gemini 3.7 Flash将GDM重新带回前沿。

State of Open Models: Summer 2026 Observations

Hugging Face Blog · 08/14 08:00

中文介绍 夏季2026年开放模型状态观察。

Gemini 3.7 🤖, GPT-5.6 Sol Ultrafast ⚡, Anthropic $2T IPO 💰

TLDR AI · 08/14 08:00

中文介绍 Gemini 3.7发布，GPT-5.6 Sol Ultrafast，Anthropic 2000亿美元IPO。