Jail this guy and every single VC who signed off on this.
And I'm not actually joking at all.
I have the legal right to pursuit of happiness , which I can only do under the naturally occurring skies and weather conditions
@internetcreatur Gotta be obsessed like a beaver building a dam. Does the beaver want to build dams? Doesn’t matter what it wants. It’s going do it compulsively and obsessively till the end of its days.
But if you give it more sticks it’ll do it more.
In 2024, we made the unprecedented decision to acquire a hospital system. It was an opportunity to create a blueprint for healthcare transformation to make American healthcare proactive, accessible, and affordable.
@SummaHealth and our Health Assurance Transformation Company (HATCo) revealed their technology transformation stack, partnering with some of our portfolio companies @aidocmed, Clarium, @CommureOs, @poweredbyfabric, @hippocraticai, @judihealth, @transcarent, and @versemedical. @percepta is serving as a transformation partner, unifying the tech stack into a seamless Al-native operating system.
We believe the future of healthcare is health assurance with tech founders and health system leaders working together to reimagine healthcare in the US and beyond.
sendcutsend history, in photos
1/n
summer 2016: started with a torchmate 2x2 cnc plasma machine in my shop. First part off any machine is always trucker mudflap lady
@agupta gotta play to the conditions on the field
Thoughts on $PSNL ? I’ve been a big fan. Lower lower detection limit, more generalizable RNA snip-based approach. Actually fielded. Not agentic in any way but they’re not shilling like these guys either.
Introducing GEN-1.5, a one-shot learner.
It can learn new tasks in a few seconds. Show it what to do, and it generalizes.
This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world.
🧵New paper: Matryoshka LM Suites
Instead of training all models of a suite independently, we nest them within a single architecture and train the suite in a single run => much less compute, same performance
Also allows free distillation, better speculative decoding & more 👇