AI research papers.

Concurrent local LLM serving on unified-memory desktops must preserve memory headroom and output fidelity, which speed-only rankings overlook.

Open-vocabulary detection accepts any class list at inference, and promptable segmentation returns regions without class names: the taxonomy has left the model and become an input.

Full-duplex spoken dialogue models support low-latency turn taking, interruption handling, and backchanneling, yet a key capability remains underexplored: steerability, the ability to reliably shift conversational behavi…

When we speak of recursive self-improvement (RSI), are we speaking of a phenomenon, a mechanism, or a prospect?

Large language models learn similar behaviours, yet it remains unclear what structure they share or how to change one behaviour without disturbing others.

We’re sharing an AI-generated solution to the Navier–Stokes Millennium Prize Problem, including a writeup and a formal proof in Lean.

Can one language model hand its live memory to another without the receiver rereading the context?

Inside OpenAI, coding agents are reshaping AI research.

Existing approaches to persona simulation with Large Language Models (LLMs) mostly rely on shallow character descriptions that fail to sustain coherent character behavior across extended interactions.

Omni-modal large language models (OLLMs) jointly process vision, audio, and text, yet their modality bias under cross-modal conflict remains underexplored.

Autonomous agent systems increasingly depend on reusable skill abstractions for consolidating experiential knowledge and domain expertise.

Multimodal Large Language Models (MLLMs) often struggle with hallucinations, thus hindering their reliable practical applications.

Reusable skills give agents transferable procedural knowledge, making scalable acquisition essential for extending agents beyond prior experience.

We present Srijika, a system for producing installable OpenType fonts for nine Brahmic scripts: Devanagari, Tamil, Bengali, Telugu, Kannada, Malayalam, Gujarati, Gurmukhi, and Odia.

Introducing GPT-6 Astra, our most intelligent and aligned model yet, with state-of-the-art capabilities across computer use, coding, cybersecurity, and science.

Merging low-rank adapters (LoRAs) promises to eliminate the overhead of swapping task-specific weights at inference time.

Vision-Language-Action (VLA) models demonstrate strong generalization in robotic manipulation and navigation, but existing fine-tuning methods provide limited safety guarantees.

What if pathology foundation models could do more with less?

Modern AI agents routinely cross trust boundaries: they ingest untrusted content, combine it with privileged instructions, persist intermediate beliefs in long-term memory, and invoke privileged tools.

Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to trac…