Google just mapped every possible way a single DNA letter can go wrong.

Run time: 7:23

In today's episode:

1. DeepMind maps all 9 billion possible DNA mutations
2. UK proposes 44 new rules for medical AI
3. Rural AI push meets skepticism from actual providers
4. OpenEvidence restricts its best model over dual-use risk
5. AI spots collapsed lungs in newborns, 87.6% sensitivity
6. AI-measured organ volume linked to kidney cancer survival
7. Claude Fable 5.1 and Mythos 5.1 go live
8. GPT-6 Astra rated "critical" cyber risk by OpenAI

TL;DR:

• DeepMind released the AlphaGenome Atlas, a free public database predicting the biological effect of all 9 billion possible single-letter DNA changes — built with Broad, Harvard, and Boston Children's, with DeepMind's own caveat that it is not clinically validated.
• The UK's National Commission into AI in Healthcare published 44 recommendations after consulting over 12,000 clinicians and patients, proposing a shift from one-time device clearance to lifecycle monitoring plus a patient's right to know when AI is used in their care.
• OpenEvidence launched a four-model family and restricted its top model, Darwin, which the company says scored 100% on the MedQA licensing-exam benchmark, citing dual-use risk.

Sources cited:

• Google DeepMind
• GOV.UK
• OpenEvidence
• STAT News
• Pediatric Radiology
• Annals of Medicine
• Anthropic
• OpenAI

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