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Ricursive Intelligence outlines AI approach to chip design
Founders Anna Goldie and Azalia Mirhoseini say their startup is developing a system that learns from successive designs to speed up chip development.
Ricursive Intelligence is developing artificial intelligence to automate chip design and refine its work through repeated iterations, founders Anna Goldie and Azalia Mirhoseini said at a conference on October 14, 2026. They said the aim is to shorten development times and improve efficiency as demand for computing grows.
The founders said their approach optimizes a chip as a whole, instead of dividing it into dozens of blocks. That gives the AI room to develop complex layouts, including patterns resembling waves, which they plan to discuss further.
As an example of unconventional design, they cited AlphaChip, an AI system they previously developed. The founders said it arranged components in a circular layout that surprised engineers but ultimately worked successfully.
Goldie argued that faster development could make custom chips financially viable for more applications, including space, augmented reality, virtual reality and biological computing. She contrasted design schedules lasting six months, a year or two years with a hypothetical one-week process, saying shorter timelines could allow developers to pursue a wider range of chips.