Anthropic and OpenAI say they’ve disproved a key tenet of computer science. Researchers are struggling with the fall but also ...
Read about Recursive’s Flint AI coding model, its laptop-friendly design, coding benchmarks, open-source license, and Eureka ...
Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system, as an early test of AI that improves itself.
A Harvard Law and computer science professor explains why recursive AI self-improvement could challenge human oversight and ...
In the high-tech, high-competition AI field, we are seeing new versions of models rolled out by the frontier companies (OpenAI, Google and Anthropic) every month and a half. I included a Release ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Regan Peng is an AI founder and former senior tech executive, focused on personal AI, ...
“Recursive self-improvement” is the idea that artificial intelligence could learn to build and train itself, creating exponential new progress — and risk. Jeff Clune, a computer scientist and ...
How do you get from a chatbot that sometimes makes things up to a machine that humans might struggle to control? There are several steps in that argument, and plenty of uncertainty. But an idea known ...
Anthropic and OpenAI researchers raised fresh concerns about recursive self-improvement, the process by which AI helps improve the development of models. Both OpenAI and Anthropic have in recent ...
On Tuesday, the AI company Recursive Superintelligence announced a $410 million compute deal with Amazon Web Services. The company, which emerged from stealth in May with $650 million in funding, is ...
The US AI research company Anthropic has become known for building powerful AI models while simultaneously warning about their dangers. Most recently, its executives wrote about the threat posed by ...
The US AI research company Anthropic has become known for building powerful AI models while simultaneously warning about their dangers. “We are not there yet, and recursive self-improvement is not ...