Incredibly proud of the Chai team. It's a privilege to wake up every day and go to work on models that are actively used by some of the world’s leading pharma companies, as they go about designing the medicines of the future. There is no higher calling.
Today we are announcing our collaboration with Pfizer to put Chai's frontier AI—including our latest model, Chai-3—directly into the hands of one of the world's leading pharmaceutical teams.
I’m delighted to announce @chaidiscovery's collaboration with @pfizer. Their scientists will deploy our AI platform to accelerate drug discovery, including early access to our latest frontier model Chai-3.
You can learn more about this partnership and our momentum in @amyfeldman's feature in @Forbes out today
https://t.co/VBoynDgPCz
Today we are announcing our collaboration with Pfizer to put Chai's frontier AI—including our latest model, Chai-3—directly into the hands of one of the world's leading pharmaceutical teams.
"We have this long term vision of turning biology from something which is trial and error and experimental and make it something that looks more like an engineering discipline in the next century."
New Episode with @jackdent !
0:00 Intro
02:28 Inside @stripe w/ @patrickc, at <100 People
08:45 @sama role in @chaidiscovery origin
16:20 Chai-2 Antibody Breakthrough
19:24 Approaching biology as an engineering problem
24:45 Using AI models to treat people on an individual scale
26:52 Robotics in labs
27:22 Pharma industry today
29:49 The clinical trial bottleneck
32:53 Personalized biology models & cancer vaccines
36:24 Longevity, peptides, and trillion-dollar drugs
39:02 Does it matter that the government cut exploratory science grants?
41:00 What next-gen Chai models will do
42:08 Can frontier AI labs build this themselves?
43:26 Biology is hard
Seeing one of the world's largest pharma companies move so quickly has been eye-opening for me.
Thrilled to have Lilly scientists using Chai's models. Their excitement is both contagious and a huge motivator.
We’re thrilled to announce our collaboration with @EliLillyandCo.
We’ll be deploying Chai’s AI models to power biologics discovery across a broad set of drug programs at Lilly.
This is a major step forward in pharma’s adoption of AI-native R&D.
Visualizing UMich classes in 3d space: https://t.co/n8NcF2iQnz
Came across https://t.co/6l7qt3XX8q a while back from @jinaycodes and got inspired to do something similar with the classes offered at my university:
I can't wait for the day these breakthroughs transform the lives of real people. In hindsight, $130M will have been a small price to pay.
We're hiring!
Today, we’re releasing new data showing that Chai-2 can design antibodies against challenging targets with atomic precision.
>86% of our designs possess industry-standard drug-quality properties without any optimization.
Thread👇
@akarshkumar0101 Tangentially, doing this kind of time-sliced evaluation is used in literature-based discovery, but I think the process is pretty manual or heuristic.
https://t.co/pLTeg5zGcb
@karpathy Reminds me of the skill library in Voyager paper https://t.co/tzIF8zZzSm
They gave the agent access to a skill library that it could add to and retrieve from. Over time this let it do increasingly more complex tasks by delegating simpler components of the task to skills.