AI News/Wire summary
DeepMind and Biohub researchers say scaling alone won't solve biology
Key points
- Sal Candido says the key is finding a scaling law, where more compute and data reliably yield better results.
- Candido reports that lower-quality metagenomic sequences still improve protein language models for designing and understanding proteins.
- Pushmeet Kohli says AlphaFold relied on existing PDB data because the team lacked resources to expand it by an order of magnitude.
Why it matters for marketers: Teams covering AI biology claims should weigh data quality and problem fit, not just model size or data volume.
Summary by the Z Media news desk, from the outlets' reporting. Read the full stories at the source.
Read the original
Related on Z Media
- Anthropic gives METR researchers employee-level access to its modelsvia TechCrunch, 6 hr ago
- Microsoft releases open-source tool to improve two-to-six-week weather forecastsvia The Verge, yesterday
- AI solves far more theory problems across several physics and math fieldsvia Wired, 2 days ago
- Bringing GPT-Rosalind to academic research labsvia OpenAI, 6 hr ago
- Google Antigravity helps scientists find a candidate antimicrobial peptidevia Google DeepMind, 9 hr ago
- Google's Gemini 4 Argon is now open to everyone, with mixed early reviewsvia Ben's Bites, 12 hr ago