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.

AlphaGenome Variant Analysis

Connections

Supports

GDM Science Skills: Agentic Scientific Workflows AlphaGenome exemplifies agentic scientific workflows — the variant browser automates multi-modal genomic data integration (RNA-seq, DNase hypersensitivity) across cell types, demonstrating how AI accelerates biological discovery pipelines.
The Emergent Symbolic Structure of Artificial Neural Networks AlphaGenome's ability to interpret variant effects across cell types provides concrete evidence of emergent symbolic-like structure in biological neural networks — the model maps sequence variation to functional regulatory states, illustrating learned genomic grammar.

Related to

Orbify Demo 2 - v72 Both involve geospatial/genomic data visualization through interactive browsers — Orbify handles Earth observation data across regions while AlphaGenome handles genomic signal tracks across cell types, sharing the paradigm of layered multi-source data exploration.
DiffusionGemma Technical Report Both are technical AI model reports (DiffusionGemma / AlphaGenome) demonstrating domain-specific generative/predictive AI applied to complex scientific data — genomic sequences and image generation share high-dimensional structured prediction challenges.
Trismik: Evidence-Based Model Switching Both involve evidence-based model evaluation and switching — Trismik selects models based on performance evidence while AlphaGenome compares variant impact signals across multiple biological evidence tracks (DNase, RNA) to assess functional consequence.

Navier-Stokes Solution AlphaGenome represents DeepMind-style AI tackling hard scientific problems, paralleling efforts to apply similar AI approaches to Navier-Stokes solutions in physics/mathematics

Type:	link
First published:	Tuesday, 8 September 2026 at 18:43 UTC
Location:	https://deepmind.google.com/science/alphagenome/atlas?q=chr13:32380145:G%3EA&m=variant&lItems=avi,section:RNA_SEQ,section:DNASE,section:DNASE:REF_SCORES&i=chr13:32380045-32380245&scores=chr13:32380145:G%3EA:DNASE:CL:0000515%20DNase-seq:Unstranded:None:None:None,chr13:32380145:G%3EA:DNASE:CL:0002551%20DNase-seq:Unstranded:None:None:None
URL:	https://mattwood.fyi/i/48da28a1

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