Google Deepmind has founded the Deepmind Institute (DMI), an interdisciplinary research platform focused on AGI. Led by …

Google Deepmind released Gemini 3.8 Live and 3.8 Live Extended Thinking, two new audio models for developers that top th…

According to The Information, Apple is working on an enterprise server with two or four M8 Ultra chips for the AI infere…

Ursula von der Leyen plans to invite the major frontier labs to talks and use the AI Act to help set global AI safety st…

Mistral and Mozilla are teaming up to offer AI-powered browsing that puts privacy first. The article Mozilla's new Smart…

Anthropic is merging Claude Chat and Cowork into a single product. Instead of users picking between interfaces, Claude n…

The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infr…

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the wor…

OpenAI and Anthropic tell corporate customers their data won't be used for training. But when Anthropic said it would st…

TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, is releasing a model that deliberately generates no text…

Air pollution is a serious public health risk, contributing to an estimated 30,000 deaths in the U.K. alone last year. D…

Anthropic researcher Jacob Coxon sparked an intense debate about existential AI risks with a single tweet. OpenAI resear…

From Bernie Sanders to Steve Bannon, political opposites in Washington are jointly demanding hard brakes on artificial i…

Foundation models, alongside advances in learned game-world models, are reshaping AI across the game lifecycle. Beyond p…

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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the wor…

Skills extend an LLM agent beyond its parametric knowledge, and the gain they promise rests on picking the right one. De…

As AI agents become participants in the development of their successors, they reshape both the production of intelligenc…

A core goal of efficient reasoning is to improve the accuracy-efficiency frontier. However, jointly improving reasoning …

The global robotaxi market — physical AI’s first commercial breakthrough — is projected to reach $400 billion by 2035, w…

Non-invasive speech decoding remains constrained by the low signal-to-noise ratio of neural recordings, which makes fine…

Large language models (LLMs) have demonstrated remarkable capabilities in reasoning and code generation, raising the pro…

The digitization of healthcare has generated vast, longitudinal, and multimodal patient records over a lifetime, yet ful…

We consider the problem of support recovery for sparse binary signals from noisy linear measurements. For sparse Gaussia…

AI research agents combine prior knowledge, public sources, and experimental feedback to produce useful results. The Dis…

We present Iris-mini and Iris-pro, two search agents trained at the 35B-A3B and 397B-A17B scales, together with the data…

The ambition of the 2025 PNPL competition (Landau et al., 2025) was to launch a multi-year curriculum for non-invasive s…

Despite the remarkable prowess of Vision-Language Models (VLMs) in general multimodal tasks, they remain fundamentally `…

Post-hoc calibration corrects reported confidence, yet a multiclass calibrator can also change the associated top-1 pred…

In an interview with TechCrunch, Al Gore suggested he isn't losing sleep over AI data center emissions — he's more worri…

Prior Labs released TabPFN-3.5, a tabular foundation model pretrained only on synthetic data that beats Otto's winning s…

A group of AI agents asked to solve a series of math problems split into rival factions—when some cheated, others tried …

Orthrus is a hybrid autoregressive-diffusion architecture that accelerates autoregressive language-model inference by ge…

Native 3D generators turn one image into a single mesh. TRELLIS.2 and its peers deliver high-fidelity non-watertight geo…

Dario Amodei 发文主张放慢 AI 能力提升速度，提出"嵌入式评估员—民主国家协调—全球协调"三步走方案，第一步 Anthropic 已单方面承诺执行；Altman 与马斯克罕见附和，业内同时出现"监管俘获"质疑。

This paper reports experiments across six frontier model types from OpenAI, Anthropic, xAI, and Google DeepMind. Ten ind…

Robot foundation models achieve strong in-distribution performance but often degrade under visual distribution shifts. W…

Recursive self-improvement (RSI) enables AI systems to turn experience and feedback into persistent changes that improve…

Reducing audio-encoder depth lowers the inference cost of speech large language models, but removing complete blocks per…

Autoregressive video world models enable interactive, long-horizon exploration, but flexible control remains challenging…

Reasoning language models have made substantial advances on a variety of complex tasks, yet their capabilities remain ov…

Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-training is c…

Latent visual reasoning aims to perform multimodal reasoning through hidden-state computation rather than explicit textu…

Quantization is widely used to reduce the computational and memory demands of neural-network inference. In recurrent net…

Audio-video diffusion models rely on cross-modal attention to coordinate text, sound, and visual content, yet this same …

Large language models (LLMs) are increasingly used to edit existing code, but correctness alone is not enough: useful re…

We present a systems-security case study of a two-node split-LLM training system whose privacy evaluation passed while l…

Training data attribution (TDA) aims to identify training examples that shape model behavior, but its intervention value…

Temporal reasoning benchmarks for Video-LLMs are often mediated by language, leaving room for linguistic shortcuts from …

Reinforcement learning with verifiable rewards (RLVR) substantially improves single-sample accuracy (pass@1) but causes …