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Briefing

The fast feed: breaking AI news from the global tech press, deduplicated and time-ordered.

The fast feed: breaking AI news from the global tech press, deduplicated and time-ordered.

Latest in Briefing

30 stories
Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation
Research

Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation

We introduce Equilibrium State Estimation (ESE), a novel paradigm for simultaneous prediction, where multiple interacting systems require separate yet coordinat…
Simultaneous Latent Budget Trees for Stratified Classification
Research

Simultaneous Latent Budget Trees for Stratified Classification

In the era of Explainable Artificial Intelligence, there is a renewed focus on single trees for their ease of interpretation. This paper introduces Simultaneous…
DuET: Dual Expert Trajectories for Diffusion Image Editing
Research

DuET: Dual Expert Trajectories for Diffusion Image Editing

Recent diffusion editors perform diverse instruction-based edits while conditioning on the source image at every denoising step. Yet persistent source-image con…
OR-Action: Multi-Role Video Understanding with Fine-Grained Actions
Research

OR-Action: Multi-Role Video Understanding with Fine-Grained Actions

Fine-grained understanding of operating room (OR) activity could enable workflow-aware assistance, yet remains difficult due to clutter, occlusions, and limited…
From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent
Research

From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent

Large language models (LLMs) have shown promise in automating scientific peer review. However, existing approaches often struggle to generate in-depth reviews s…
IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing
Research

IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing

Computer-Aided Design is pivotal in modern manufacturing, yet existing automated methods predominantly rely on open-loop, one-shot generation, creating a mismat…
MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold
Research

MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold

We present MoVerse, a real-time video world model that creates an interactively navigable scene from a single narrow-field-of-view image. This setting is challe…
SmartFont: Dynamic Condition Allocation for Few-Shot Font Generation
Research

SmartFont: Dynamic Condition Allocation for Few-Shot Font Generation

Few-shot font generation simultaneously requires global structural completeness and fine-grained local style fidelity. Existing methods usually either rely on g…
Person Identification from Contextual Motion
Research

Person Identification from Contextual Motion

We consider the problem of identifying people based on their motion styles. We present a generative model describing the action instance creation process and de…
Accelerating Speculative Diffusions via Block Verification
Research

Accelerating Speculative Diffusions via Block Verification

Speculative decoding speeds up LLM inference by using a draft model to generate tokens, with an acceptance-rejection scheme that ensures that the output matches…
Uncertainty Estimation for Molecular Diffusion Models
Research

Uncertainty Estimation for Molecular Diffusion Models

Diffusion models have seen wide adoption for 3D molecular generation, yet they offer no principled signal of when a generated molecule is likely to be of low qu…
Adaptive Turn-Taking for Real-time Multi-Party Voice Agents
Research

Adaptive Turn-Taking for Real-time Multi-Party Voice Agents

Turn-taking in multi-party spoken conversations remains a fundamental challenge for voice-based agents, particularly under dynamic floor competition and varying…
ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages
Research

ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages

Multimodal Large Language Models (MLLMs) have shown promising reasoning capabilities in general domains, yet their performance remains limited in specialized se…
Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch
Research

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch

Dispatch in three-sided marketplaces provides a natural setting for reinforcement learning from world feedback: decisions are evaluated by delayed operational o…
Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement Learning
Research

Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement Learning

This paper presents a distribution-agnostic robust trajectory-optimization framework based on chance-constrained reinforcement learning. The uncertainty is repr…
Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning
Research

Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning

When large language models (LLMs) fail to generalize or make haphazard errors in reasoning, it is often taken as evidence that LLMs are not truly reasoning, but…
Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks
Research

Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks

Shielded reinforcement learning is typically presented as a runtime safety mechanism that compiles temporal-logic specifications into automata restricting an ag…
Generative Modeling of Bach-Style Symbolic Music: A Comparative Study of Autoregressive, Latent-Variable, and Adversarial Approaches
Research

Generative Modeling of Bach-Style Symbolic Music: A Comparative Study of Autoregressive, Latent-Variable, and Adversarial Approaches

We study generative modeling of Bach-style symbolic piano music using a shared MIDI corpus and three model families: autoregressive LSTMs with attention, latent…
Surflo: Consistent 3D Surface Flow Model with Global State
Research

Surflo: Consistent 3D Surface Flow Model with Global State

Geometry is invariant to viewpoint, which makes any collection of images a redundant encoding of a single 3D state. Existing feed-forward reconstruction models …
Understanding Truncated Positional Encodings for Graph Neural Networks
Research

Understanding Truncated Positional Encodings for Graph Neural Networks

Positional encodings (PEs) enhance the power of graph neural networks (GNNs), both theoretically and empirically. Two of the most popular families of PEs - spec…
Modality Forcing for Scalable Spatial Generation
Research

Modality Forcing for Scalable Spatial Generation

Text-to-image (T2I) models contain rich spatial priors. Synthesizing photorealistic, cluttered scenes requires an understanding of geometry, including perspecti…
InterleaveThinker: Reinforcing Agentic Interleaved Generation
Research

InterleaveThinker: Reinforcing Agentic Interleaved Generation

Recent image generators have demonstrated impressive photorealism and instruction-following capabilities in single-image generation and editing. However, constr…
EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
Research

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments

Large language model (LLM) agents have achieved strong performance on a wide range of benchmarks, yet most evaluations assume static environments. In contrast, …
Introducing EVMbench
Labs

Introducing EVMbench

OpenAI and Paradigm introduce EVMbench, a benchmark evaluating AI agents’ ability to detect, patch, and exploit high-severity smart contract vulnerabilities.…
A new way to express yourself: Gemini can now create music
Labs

A new way to express yourself: Gemini can now create music

The Gemini app now features our most advanced music generation model Lyria 3, empowering anyone to make 30-second tracks using text or images.…
Introducing OpenAI for India
Labs

Introducing OpenAI for India

OpenAI for India expands AI access across the country—building local infrastructure, powering enterprises, and advancing workforce skills.…
Advancing independent research on AI alignment
Labs

Advancing independent research on AI alignment

OpenAI commits $7.5M to The Alignment Project to fund independent AI alignment research, strengthening global efforts to address AGI safety and security risks.…
Gemini 3.1 Pro: A smarter model for your most complex tasks
Labs

Gemini 3.1 Pro: A smarter model for your most complex tasks

3.1 Pro is designed for tasks where a simple answer isn’t enough.…
Our First Proof submissions
Labs

Our First Proof submissions

We share our AI model’s proof attempts for the First Proof math challenge, testing research-grade reasoning on expert-level problems.…
OpenAI announces Frontier Alliance Partners
Labs

OpenAI announces Frontier Alliance Partners

OpenAI announces Frontier Alliance Partners to help enterprises move from AI pilots to production with secure, scalable agent deployments.…