Browsing: scientific-ai

OpenAI’s GPT-5.2 achieved a historic milestone by solving the first previously unsolved Erdős mathematical problem, while concurrent advances in AI hardware efficiency and practical deployment frameworks signal a new phase of AI maturity. These developments, from particle accelerator operations to mathematical breakthroughs, demonstrate that AI systems are approaching genuine reasoning capabilities across diverse intellectual domains.

Recent developments in open-source AI showcase a shift toward efficiency, with MiroThinker 1.5 achieving trillion-parameter performance using only 30B parameters at 1/20th the cost, while Berkeley’s particle accelerator deploys an AI assistant for real-time scientific operations. These advances demonstrate how architectural optimization and domain specialization are driving practical AI applications beyond simple parameter scaling.