VQV Signal

RESEARCH WATCH TECHNICAL

Genomic language models learn in context: Evo 2 ICL

Garyk Brixi, Brian Hie and team show Evo 2 can design from a handful of examples in its prompt, generating proteins, de novo antibodies, CRISPR-Cas9 loci, mitochondrial genomes and whole bacteriophages, and chaining synthetic sequences as a kind of chain o...

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-30T21:45:00+00:00 Detected 2026-10-31T01:27:07+00:00
View original source

Garyk Brixi, Brian Hie and team show Evo 2 can design from a handful of examples in its prompt, generating proteins, de novo antibodies, CRISPR-Cas9 loci, mitochondrial genomes and whole bacteriophages, and chaining synthetic sequences as a kind of chain o...

Garyk Brixi, Brian Hie and team show Evo 2 can design from a handful of examples in its prompt, generating proteins, de novo antibodies, CRISPR-Cas9 loci, mitochondrial genomes and whole bacteriophages, and chaining synthetic sequences as a kind of chain of thought. @razoralign highlighted the paper's Evo2-flash...

Signal Strength 93% Technical label WATCH Public Interest 21 Category RESEARCH Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 18 Curiosity Score 0 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to LLM Inference, connected to Scobleizer News Pulse (X).