This, 100%. Thinking about, and reasoning on, precise levels of abstraction is ingrained in experimental scientific training. If only there were more biologists and experimentalists in bio companies.
When folks realize that the precision with which we describe the world determines the precision with which we can learn about it, we will make real progress.
Wild. It is a cell, only caveat being it's not alive (yet) as it does need human support to surive, but it's an exciting start! https://t.co/h2LVDiBbbz
🧩 Building something from scratch is a messy, non-linear process, and that’s especially true for science-led startups.
🏭 Later this month, we’re hosting @douglas_brion, founder of @mattalabs, at Giant House for a conversation to tell us all about how he did it.
If you’re a student, researcher, or early builder wondering whether to take the leap, come join us!
Sign up: https://t.co/lvEjb2H0fU
Announcing Evo 2: The largest publicly available, AI model for biology to date, capable of understanding and designing genetic code across all three domains of life. https://t.co/1Zt6gQ74SA
Autonomous Science enables entirely *new types* of discovery and economics.
We've concluded edge cases - prion research, high-risk pathogen research, geoengineering - and autonomous CRO's - optimization and scale-up - are the best place to start company building.
In order to do this efficiently, we think layering technology unlocks in reasoning and science miniaturization drives the most impact in output and company defensibility.
We're compelled by researchers moving autonomous science from chemicals and materials to proteins and inevitably cells.
Check out the present, past, and future of commercializing autonomous science below.
Today, a landmark study from @UWproteindesign announced its progress toward creating AI-designed enzymes.
@owl_posting and @eryney_ok explain how their method provides a roadmap for creating other types of dynamic, moving proteins.
Read here: https://t.co/c5SO6Pvu3S
*Potentially* exciting development from neuro research: BullFrogAI partners with the Lieber Institute, the world’s largest collection of human brain samples, uncovering (unprecedented) AI-led insights at gene level into neuropsychiatric conditions ⏬
https://t.co/twAcVpugr7
@csen_crick x @NeuroTechX are hosting a NeuroTech Spotlight ✨🧠✨ event at @TheCrick, discussing all things neuroscience x technology!
(Incredible guests, exciting startups, and obviously drinks 🥂)
Join us (2nd Feb) ➡️ https://t.co/0uwrpBxqoN