The Computomatix Times

BREAKING: The U.S. government, Google, Meta & Zuckerberg-backed @biohub are launching a $1.8B push to build the data layer for AI biology.

The goal is to create the largest open, AI-ready biological dataset ever assembled, giving models the data needed to better predict how biology works & ultimately help treat disease.

The coalition is massive:

› Biohub committed $500M
› DOE is investing $500M+ across measurement, modeling & compute
› NIH is bringing $500M+ of federally funded datasets & repositories
› Meta, Google DeepMind & @IsomorphicLabs are jointly investing another $300M

This is effectively an infrastructure buildout for AI biology.

Instead of just building bigger models, they’re attacking one of the biggest bottlenecks in biology AI today, generating standardized, high-quality biological data at massive scale & making it openly available to researchers.

$1.8B committed to turning biology into something AI can increasingly model, predict & engineer.

What if,
for any scientific claim,
you can search 100M+ papers to find the strongest evidence for and against it
⚡️in 1 second?

That’s now possible with Evidence API! 🚀
paperclip.gxl.ai/evidence-api

For example, does drinking coffee reduce diabetes risk?

Putting down your phone is more effective than antidepressants

One of the cheapest cold-prevention interventions I’ve seen:

Gargling with plain water 3x/day reduced upper respiratory infections by ~36% in a randomized trial.

Thanks, Peter! This is the beginning of the end for destructive wildfires. In a country that loses ~$500B every year to wildfires, even tiny gains make for huge savings, to say nothing of the incalculable value of lives and homes.

Kids will grow up learning like this. It's insane.