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46 articles
A new Anthropic study reveals that men use AI coding agents more than twice as often as women in social science research, highlighting a significant gender gap in AI tool adoption.
London-based Inherent AI, founded by former DeepMind researchers, has raised $50 million to develop AI that helps identify the most impactful scientific questions.
Learn how AgentTrove, a massive dataset of AI agent interactions, helps researchers and developers understand and improve AI behavior by studying real-world AI traces.
Researchers used an AI coding agent to discover a novel algorithm that cuts AI compute by 70% while maintaining accuracy, demonstrating the potential for AI to surpass human-designed solutions.
Nous Research introduces Contrastive Neuron Attribution (CNA), a method to steer LLM behavior without training or weight modification, preserving general capabilities.
Researchers explore OpenMythos, an open-source framework for building recurrent-depth transformers, focusing on MLA and GQA models and their parameter efficiency.
Spotify launches a new desktop research app as a research preview in over 20 markets, positioning itself against Google's NotebookLM.
Learn what Forward Deployed Engineers are, how they bridge the gap between AI research and real-world applications, and why this role is crucial for deploying AI technologies in business settings.
OpenAI co-founder Andrej Karpathy has joined Anthropic's pre-training team, highlighting the competitive race for top AI talent. Pre-training is a critical, compute-intensive phase in AI development that shapes a model's core capabilities.
Peter Steinberger is spending $1.3 million a month on OpenAI API usage to run 100 AI agents that automate coding, PR reviews, and bug detection, framing the expense as a research investment in the future of software development.
This explainer explores how AI video generation serves as a pathway to world models, the theoretical framework for creating general-purpose AI systems that understand and predict complex environments.
AI-generated research papers are becoming increasingly sophisticated, raising concerns about academic integrity and the credibility of scholarly databases. The phenomenon challenges current peer-review processes and citation metrics.
