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Ricursive Intelligence, a startup building an AI system to design and automatically improve AI chips, has raised $300 million at a $4 billion valuation. The company said Monday the round was led<\/a> by Lightspeed.<\/p>\n Ricursive says the system will be able to create its own silicon substrate layer and speed up AI chip improvements. Rinse and repeat to get to AGI, the founders say.<\/a><\/p>\n The Series A comes just two months since the company formally launched with a seed investment led by Sequoia. It has raised $335 million total, reports The New York Times<\/a>.<\/p>\n Ricursive was founded by former Google researchers CEO Anna Goldie and CTO Azalia Mirhoseini. Their work on a novel reinforcement learning method for designing chip layouts, called AlphaChip<\/a>, has been used in four generations of Google\u2019s TPU chip, the startup says.<\/p>\n DST Global, Nvidia\u2019s venture capital arm NVentures, Felicis Ventures, 49 Palms Ventures, and Radical AI are also investors.<\/p>\n Ricursive is not to be confused with the similarly named startup Recursive, reportedly founded by well-known natural language processing neural networks researcher Richard Socher. That Recursive is also in talks to raise a giant round at a $4 billion valuation, Bloomberg reported<\/a> last week. And it is also working on AI systems that improve themselves.<\/p>\n And these two are not the only new startups working on the concept. As TechCrunch previously reported<\/a>, Naveen Rao\u2019s new AI hardware startup, named Unconventional AI, is also working on an intelligent substrate. In December it raised a $475 million seed round at a $4.5 billion valuation led by Andreessen Horowitz and Lightspeed Ventures, with participation from Lux Capital and DCVC. <\/p>\n Techcrunch event<\/p>\n \n\t\t\t\t\t\t\t\t\tSan Francisco<\/span>
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