TechCrunch Disrupt 2026: Ricursive Intelligence’s Anna Goldie and Azalia Mirhoseini on when AI starts designing its own hardware
But designing those chips is itself a slow, complex process. What happens when AI starts doing some of that work, too? That’s the idea behind Ricursive Intelligence.
- ▪But designing those chips is itself a slow, complex process.
- ▪What happens when AI starts doing some of that work, too?
- ▪That’s the idea behind Ricursive Intelligence.
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/25/techcrunch-disrupt-2026-ricursive-intelligences-anna-goldie-and-azalia-mirhoseini-on-when-ai-starts-designing-its-own-hardware/ |
| Publication time | Fri, 25 Sep 2026 15:00:00 +0000 |
| Retrieval time | 2026-09-25T15:00:32.370Z |
| Last seen | 2026-09-25T15:00:32.370Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Elj1Ji8Ss_zm · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
AI needs increasingly powerful chips. But designing those chips is itself a slow, complex process. What happens when AI starts doing some of that work, too? That’s the idea behind Ricursive Intelligence. The startup is developing AI that can design chips, learn from the process, and improve the next design — potentially accelerating development of the hardware that powers increasingly capable AI. Today, designing a chip can take two to three years. Recursive wants to reduce that cycle to a matter of weeks.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.
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