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Chip design takes years. At RAISE Summit, Ricursive says AI can dramatically speed up the process—and that better chips will in turn enable better AI models, creating a recursive cycle of improvement.

TIME

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7,214,348 views • 2 months ago •via X (Twitter)

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31 Comments

Scott Borror2 months ago

@RaiseSummit Outstanding. Yes, lets teach the computer how to make better chips. What could go wrong? How many extinction movies have to be made?

Stephen Bishop1 month ago

@RaiseSummit Ohh

The Running Man 🏃‍♂️2 months ago

@RaiseSummit

chewy1 month ago

@RaiseSummit You morons need a special company to teach you that? Hahaha. Wow.

战友072 months ago

@RaiseSummit

Football News1 month ago

@RaiseSummit

nana🎖🏈 ( Lina )1 month ago

@RaiseSummit The future of AI will be shaped by both software and hardware 🔥

Mr. Timothy-19711 month ago

@RaiseSummit maybe depends on who programs it.

蹬三輪1 month ago

@RaiseSummit 現在ai可以設計芯片，甚至可以設計工業產品，尋找藥品的新功效等等，ai無可限量

richard yarnold1 month ago

@RaiseSummit Its called evolution

[email protected]2 months ago

@RaiseSummit

Johnny Cornell2 months ago

@RaiseSummit

$BROKEAF1 month ago

@RaiseSummit

Emily1 month ago

@RaiseSummit I want to learn to code.

Myriam Rimbert1 month ago

@RaiseSummit Jusqu'à ce que l'IA remplace l'humain ? C'est ça le but ?

Schmalzi 🐺1 month ago

@RaiseSummit

Rachel1 month ago

@RaiseSummit That's great!

Malcolm GJ C1 month ago

@RaiseSummit right and people is doomed to be out of employment

Dragan Pavlovic1 month ago

@RaiseSummit the hardware feedback loop is the real bottleneck breaker finally

Alessia1 month ago

@RaiseSummit At what cost, though?

Odaily1 month ago

@RaiseSummit Make more DDR5 RAM, then

横山テルキ1 month ago

@RaiseSummit シンギュラリティじゃん(⁠･⁠o⁠･⁠;⁠)

Funny2 months ago

@RaiseSummit That recursive loop sounds like pure sci-fi becoming reality. If they nail this, the pace of progress is going to be insane. 🚀

Blockchain Buzz1 month ago

@RaiseSummit for sure, faster chip design means we level up AI quicker. it's a wild feedback loop!

だんご2 months ago

@RaiseSummit 意外とみんな似てるな、面白い

Red Keith1 month ago

@RaiseSummit 65

Giming既明1 month ago

@RaiseSummit 递归循环听起来很美，但芯片制造物理瓶颈和AI训练成本是两座大山，互促可能没那么简单 😅

tedy1 month ago

@RaiseSummit toujours plus vite, plus rapide , jusqu'où peut-on aller?

Rocky Mark2 months ago

@RaiseSummit Why is this woman allowed to have hair like that? WHY? ALL GENDERED DIFFERENCES MUST BE ABOLISHED. WHY IS THAT DIFFICULT TO SINK IN? Yet no one wd DARE hold a public speaking contest or election debate EXCLUDING WOMEN but beauty pageants exclude men! THIS IS WHY A COHERENT 1/2

Biketommy2 months ago

@RaiseSummit Enable lower cost, environment, extensive AI development, functions, innovations, scientific breakthroughs, better devices etc.

lorelu2 months ago

@RaiseSummit 这个递归循环的设想很酷！芯片设计周期确实长，AI能提速，反过来更好的硬件又推动AI进步，有点像科技界的正反馈飞轮呢 ✨

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“If we can make AI make better chips, then those chips can power the next generation of AI models.” Startup ‘Ricursive Intelligence,’ founded by Azalia Mirhoseini and Anna Goldie, has been building AI tools to do just that: to speed up the chip design process. The company’s name is a nod to “recursive self-improvement,” the idea that AI could one day bootstrap itself without human involvement. If they’re successful, Goldie and Mirhoseini could revolutionize the way the chip industry works. At the moment, AI companies mostly optimize their models for certain chips. But in a future where chip design happens far faster, it could work the other way around: chips optimized for specific models. The founders are on the TIME100 AI, the list of people shaping the development of AI in 2026. See the full list:

“If we can make AI make better chips, then those chips can power the next generation of AI models.” Startup ‘Ricursive Intelligence,’ founded by Azalia Mirhoseini and Anna Goldie, has been building AI tools to do just that: to speed up the chip design process. The company’s name is a nod to “recursive self-improvement,” the idea that AI could one day bootstrap itself without human involvement. If they’re successful, Goldie and Mirhoseini could revolutionize the way the chip industry works. At the moment, AI companies mostly optimize their models for certain chips. But in a future where chip design happens far faster, it could work the other way around: chips optimized for specific models. The founders are on the TIME100 AI, the list of people shaping the development of AI in 2026. See the full list:

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Introducing Ricursive Intelligence, a frontier AI lab enabling a recursive self-improvement loop between AI and the chips that fuel it. Learn more at

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$What actually goes into a data center? Guru Chahal🇺🇸 whiteboards the entire stack - across land, power, cooling, storage, networking, compute - and shares where we're seeing the most interesting innovation + startup opportunities → Base Power: virtual power plants from residential batteries → Periodic Labs: using AI to discover new materials - ones that run cooler, conduct better, and waste less power → Nexthop AI: network switches that are 10–15% more power efficient than what's on the market → Unconventional AI: AI chips modeled after how the human brain works, targeting 100–1,000x better power efficiency → Ricursive Intelligence: AI to design chips. Today a first chip costs $100M and takes 2–3 years. They want to build in months, at a fraction of the cost → better materials → cheaper experiments → more chip designs → more efficient chips → less power → and what happens when you package all of this into a satellite and put it in orbit 🚀 As trillions of dollars of infrastructure flow into building the "AI factory", every layer of the intelligence economy is being rebuilt at once. Who are we missing? We'd love to meet if you are building somewhere on this stack.$

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