OpenAI Model Cracks 80-Year-Old Geometry Problem
An OpenAI model has disproved a central conjecture in discrete geometry unsolved for 80 years — here’s what happened and why it matters for AI and math.
An OpenAI model has disproved a central conjecture in discrete geometry unsolved for 80 years — here’s what happened and why it matters for AI and math.
Google’s Gemini for Science brings AI tools to researchers and scientists. Here’s what’s in the collection, how it works, and what it means for research.
OpenAI’s Parameter Golf challenge drew 1,000+ researchers and 2,000+ submissions. Here’s what the results actually tell us about AI-assisted machine learning research.
OpenAI’s GPT-Rosalind is a purpose-built reasoning model for life sciences — targeting drug discovery, genomics, and protein analysis. Here’s what it actually does.
Google’s Gemini Embedding 2 maps text, images, video, audio, and documents into a single vector space. Here’s what that actually means for AI search.
OpenAI shares its AI model’s attempts at the First Proof math challenge, testing research-grade reasoning on expert-level problems that push current limits.
Machine learning in 2026 looks fundamentally different from just two years ago. The era of “bigger is better” is giving way to a new paradigm: specialized, efficient, and increasingly autonomous AI systems. From Google DeepMind‘s AlphaEvolve to the rise of agentic AI frameworks, here’s what’s defining the field right now. The End of Pure Scaling…
For years, AI models have been treated as black boxes: data goes in, predictions come out, and nobody fully understands what happens in between. That’s changing. MIT Technology Review named mechanistic interpretability a top breakthrough technology for 2026, and the research coming out of Anthropic, OpenAI, and Google DeepMind is revealing how AI models actually…