The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed…
Recent Articles
View AllStreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
We present StreamBridge, a simple yet effective framework that seamlessly transforms offline Video-LLMs into streaming-capable…
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping
While federated learning (FL) and differential privacy (DP) have been extensively studied, their application to…
Comparative Analysis of Black Box Methods for Detecting Evaluation Awareness in LLMs
Published on September 26, 2025 9:56 PM GMTAbstractThere is increasing evidence that Large Language Models…
US investigators are using AI to detect child abuse images made by AI
Generative AI has enabled the production of child sexual abuse images to skyrocket. Now the…
Synthesizing Standalone World-Models, Part 4: Metaphysical Justifications
Published on September 26, 2025 6:00 PM GMT"If your life choices led you to a…
Why and When to Use Sentence Embeddings Over Word Embeddings
Choosing the right text representation is a critical first step in any natural language processing…
Golf champ Bryson DeChambeau is partnering with Google Cloud to explore AI and sports performance.
Bryson DeChambeau is kicking off a partnership with Google Cloud to expand his AI aspirations.
Scaling Laws for Optimal Data Mixtures
Large foundation models are typically trained on data from multiple domains, with the data mixture—the…
PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming
This paper was accepted at the Workshop on Regulatable ML (ReML) at NeurIPS 2025. Recent…