Research
AI Coding Tools Boost Speed, Not Quality, Researchers Warn
Developers are increasingly reliant on AI assistants, but new research suggests this speed comes with potential long-term risks to software quality and their own careers.
CausalFlow Helps AI Agents Learn From Their Mistakes
A new research paper introduces CausalFlow, a method for large language model agents to diagnose and fix their own errors, improving reliability.
New AI Research Proposes Scaling 'Harnesses' Around Large Language Models
A new paper argues the next big challenge in AI isn't just bigger models, but building robust systems around them.
World Models: The Next Step Beyond LLMs for True AI Reasoning
New research suggests large language models struggle with true reasoning, pointing to 'world models' as a path toward more capable AI.
New AI Research Improves Safety for LLM Agents
A new research paper introduces 'SafeHarbor,' a system designed to make AI agents safer without sacrificing their usefulness in the real world.
New AI Research Reveals Memory Poisoning Threat to Agent Systems
A new paper highlights a subtle but potent attack vector, making AI systems misbehave in ways hard to detect.
New AI Research Tackles 'Epistemic Miscalibration' in Multi-Agent Systems
A new research paper explores why AI systems, even with perfect execution, can fail by misjudging their own knowledge, proposing a fix.
LLM Agents Struggle with Complex Backend Code Generation
New research highlights a key limitation in AI's ability to write production-ready software, posing a challenge for automating development.
New GVGAI-LLM Benchmark Reveals LLM Weaknesses in Video Games
A new academic benchmark uses classic video games to expose the current limits of large language models, pointing to key areas for improvement.
PrismLLM Simulates AI Supercomputer Training on Few GPUs
A new research paper details how engineers can replicate massive AI training runs using only a handful of graphics processing units, potentially cutting development costs and time.
New Study Maps LLM Confidence Across Knowledge Areas
A recent research paper reveals that large language models are better at judging their own knowledge in some subjects than others, with implications for their reliability.
AI Outperforms Doctors in Emergency Room Diagnosis Study
New research suggests AI could improve medical accuracy, raising questions about the future role of human expertise in healthcare.
New AI Model 'Mochi' Learns Faster, Improves Graph Data Analysis
A new AI model called Mochi promises to make sense of complex, interconnected data more efficiently, with implications for many industries.
The Arena Gap: Inside the 2.7% That Separates U.S. and Chinese Frontier Models
A close look at what 39 Arena points actually means, where each lab is winning, and the policy gears now turning in Washington and Beijing.