News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
Richard Socher has launched Recursive Superintelligence, a San Francisco startup emerging from stealth with $650 million in funding. The company aims to build a recursively self-improving AI that fixes its own weaknesses without human help. Socher and his team of top researchers discussed their open-endedness approach in a recent interview.
Former Google, Meta and OpenAI researchers have started Recursive Superintelligence with over $650 million in funding and a $4 billion valuation. The six-month-old firm aims to create AI that improves itself. Backed by investors like GV, Greycroft, Nvidia and AMD, it joins efforts to automate AI development amid recent advances in code-writing AI systems.
AI startup Recursive has left stealth mode with $650 million in funding to pursue self-improving AI systems. The company sees recursive self-improvement as the quickest way to superintelligence and plans to automate the scientific method starting with AI research. Backed by GV, Greycroft, AMD Ventures, and Nvidia, Recursive is led by experts from Salesforce, Google DeepMind, OpenAI, Meta, and Uber AI.
A new AI startup called Recursive Superintelligence has secured at least $500 million in funding just four months after its founding. The round values the company at $4 billion pre-money and was led by GV with Nvidia participating. The firm aims to create self-improving AI systems.