That admission is what some in the field call recursive self-improvement (RSI), the point at which large language models ...
"The lab uses standard materials science equipment, but it’s almost all automated and run by AI; if it has a new idea at 4am, it starts running again. It can run as many as 50 experiments in a day, ...
One person. Two AI subscriptions. Ten government agencies. 150 gigabytes of sovereign data. In December of 2025, a single unidentified operator used Anthropic’s Claude and OpenAI’s ChatGPT to breach ...
A high performance, GPU accelerated Monte Carlo path tracer built entirely from scratch in C++ and CUDA. This renderer solves the rendering equation iteratively on the GPU without using any external ...
“I’ll be shocked if we don’t see more and more LLM impact on science,” says John Jumper. In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on ...
The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...
Theoretical computer scientist Manuel Blum has guided generations of graduate students into fruitful careers in the field. Every academic field has its superstars. But a rare few achieve superstardom ...
Department of Physics and Warwick Centre for Predictive Modelling, School of Engineering, University of Warwick, Coventry CV4 7AL, United Kingdom Laboratory of Computational Science and Modeling, IMX, ...
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