We ask the Government to introduce a statutory duty requiring AI developers to disclose the copyrighted works used to train generative AI in enough detail for creators to identify use of their work, e...

OpenAI and Hugging Face share early findings from a security incident during AI model evaluation, highlighting advanced cyber capabilities and lessons for defenders.

Humans recognize movements effortlessly, even from noisy and complex visual input. But what information in the stimulus allows humans to rapidly classify movements? No framework has systematically com...

Large language models can be used to estimate the results of social science experiments about as accurately as a group of human forecasters—even for experiments published after the...

ArXiv link for WorldOdysseyBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models

We recast predictive coding as continuous-time proximal gradient descent applied to a regularized maximum-a-posteriori (MAP) objective. We study first a single-level problem and then a multi-level hie...

Confident chatbots could encourage users to stop fact-checking.

ArXiv link for ProcBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents

Multimodal Large Language Models (MLLMs) are increasingly deployed in human-facing roles where personality perception is critical, yet existing benchmarks evaluate this capability solely on numerical ...

One of the most surprising — and concerning — capabilities of the newest Artificial Intelligence (AI) systems is their ability to infer geographic location from images. Vision‑Language Models (VLMs)...

Turning Claude's thoughts into text

Two high-profile tools have been shown to make up data and “p-hack” their results

Context-dependent behavior selects actions according to task demands. Using direct brain recordings in humans, Binish et al. uncover how coordinated population activity efficiently channels informatio...

The recent emergence of Self-Supervised Learning (SSL) as a fundamental paradigm for learning image representations has, and continues to, demonstrate high empirical success in a variety of tasks. How...

PhD students reflect on how their supervisors made a meaningful difference — from quiet acts of kindness to career-shaping guidance.