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Ricursive Intelligence wants AI to design the chips AI runs on

The founders behind AlphaChip explain why faster chip design, not more data centers, is their answer to the compute crunch.

Ricursive Intelligence founders Anna Goldie and Azalia Mirhoseini, who previously developed the AlphaChip system, told TechCrunch Disrupt their startup is building AI that designs chips, learns from each iteration and improves the next design. Goldie said compute demand could grow at least 10,000-fold in five years and argued for more efficient chips over more data centers. They say they optimize whole chips rather than splitting them into dozens of blocks, and that a one-week design cycle would make custom chips for niches like AR, space and biological computing worthwhile. Results beyond AlphaChip have not yet been published.

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UndertowWe don't completely understand why frontier models behave as they do

What hidden risk could pull against this, even if the news is good?

The founders say AI finds layouts engineers wouldn't, like AlphaChip's "donut-shaped" arrangement that surprised people before it worked. When a design works for reasons nobody fully understands, it is also hard to know when and why it might fail.

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UndertowDelayed Consequence / False Success Problem

What hidden risk could pull against this, even if the news is good?

A one-week design cycle means more custom chips reach manufacturing with less human time spent on each. Chip flaws are expensive to find late; problems that slip past automated checks may only appear after the silicon is made.

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