At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the future of AI belongs to open agent systems, not just open models.

Karpathy's autoresearch and the cognitive labor displacement thesis converge on the same conclusion: the scientific method is being automated, and the knowledge workforce may be the next casualty.

QCon London A member of Anthropic's AI reliability engineering team spoke at QCon London on why Claude excels at finding ...

UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...

Java has endured radical transformations in the technology landscape and many threats to its prominence. What makes this technology so great, and what does the future hold for Java?

Ultralytics, the company behind the YOLO family of object detection models, today introduced Ultralytics Platform, a comprehensive end-to-end vision AI platform featuring powerful SAM-powered smart ...

Mistral Forge gives enterprises a way to train and adapt AI models on proprietary data, with more control over deployment, privacy, and compliance.

The generative AI models used in classified environments can answer questions but don't currently learn from the data they ...

Steptoe partner Michel Paradis, who leads the new course, hopes to teach students how AI systems that are the focus of increasing volumes of regulation and litigation actually work.

I n a certain, strange way, generative AI peaked with OpenAI’s GPT-2 seven years ago. Little known to anyone outside of tech ...

Karpathy's 'autoresearch' agent did not improve its own code, but it points towards systems that could as well as towards way ...