What is mattwood.fyi?

A live, structured feed of riffs and links from Matt Wood, Chief AI & Technology Officer at AWS — readable by people and queryable by agents as a typed knowledge graph.

Is there an API and is it free?

Yes. A public, read-only query API is available with no authentication and no API keys. See https://mattwood.fyi/openapi.json and https://mattwood.fyi/docs.

How should an AI agent use this site?

Fetch https://mattwood.fyi/feed.json for the full structured feed, or query the API for keyword/semantic search and the connection graph. See https://mattwood.fyi/agents/ for when-to-use guidance.

Jalapeño Shows Power of LLMs for Chip Design

Connections

Supports

Cognition and AWS Strategic Partnership for Autonomous Engineers Jalapeño's LLM chip design work supports the broader thesis of autonomous AI engineers handling specialized technical domains, complementing Cognition/AWS's autonomous engineering partnership
AI-Driven Development Life Cycle: Reimagining Software Engineering LLMs accelerating chip design workflows is a concrete example of AI reimagining engineering development lifecycles beyond just software
Can AI Design Circuit Boards Yet? Jalapeño's demonstrated success with LLMs for chip design directly answers the question 'Can AI Design Circuit Boards Yet?' with a positive case study

Related to

SWE-bench Science: Coding Agents for Engineering Tasks Both examine LLM agents applied to specialized engineering tasks (chip design vs. software engineering), exploring capability boundaries of LLMs in technical domains
Harness Engineering Paper Collection Both relate to AI-assisted hardware/systems engineering workflows, with the Harness Engineering Paper Collection likely covering adjacent topics in AI for hardware design
Copperhead: Circuit Board Design Cursor Both apply AI/LLM capabilities directly to hardware/circuit board design workflows, representing the same trend of AI entering EDA and chip design domains

Supported by

OpenAI and Synopsys Announce GPT-Synopsys for Chip Design Jalapeño's demonstration of LLM power for chip design directly validates and contextualizes the GPT-Synopsys partnership, showing industry momentum toward AI-driven semiconductor design
Room-Temperature Antiferromagnetic Semiconductor Candidates Spintronic memory materials discovered via AI agents could underpin hardware advances relevant to chip design, connecting AI-discovered materials to practical chip engineering applications

openTPU: Open-Source AI Accelerator Jalapeño demonstrates LLMs used for chip design (RTL generation), directly relevant to the kind of hardware design pipeline openTPU represents — both sit at the intersection of AI and hardware design

Type:	link
First published:	Saturday, 19 September 2026 at 01:45 UTC
Location:	https://spectrum.ieee.org/llms-for-chip-design
URL:	https://mattwood.fyi/i/e9dd64eb

I'm Matt Wood, and this is For Your Information. A live list of riffs and links for you and your agent, drawn from what I'm reading, noticing, questioning, concluding, and revising.

Connections