Mechanistic Interpretability: How Researchers Are Finally Understanding AI
Scientists are developing new techniques to peek inside AI models and understand how they actually work, marking a breakthrough in AI safety research.
Machine Learning
Deep dives into ML algorithms and applications
World Models: The Next Frontier in AI Development
AI researchers believe the next major breakthrough will come from world models—systems that understand how objects move and interact in 3D space.
Brain-Inspired AI: New Research Shows Structure Matters More Than Data
Groundbreaking research from Johns Hopkins reveals that AI architecture may be as important as training data, with brain-inspired designs showing surprising capabilities.
Chain-of-Thought Monitoring: Watching AI Think Step by Step
New techniques let us observe AI reasoning in real-time, making language models more transparent and trustworthy through visible chain-of-thought processing.