“We built, like, AI systems that let you exhaustively look at every single drug and target indication pair and then, you know, design your right trials, run it kind of cheaper and faster”
♫
Said on TBPN
“The number one request of Luna… was I want it to be even cheaper and even faster… we’re pushing the technology super fast and super low cost for common use cases.”
The Every Podcast · How Sam Altman Uses Dots to Take Back His Time
Play from 20:37
20:37
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What was described
Built a Decisions API on top of the Jev model to make inference cheaper and faster for common use cases
Said nearby on the same subject
“We had built out an applicant tracking system automated onboarding we had video interviewing… it helped you hire better faster easier cheaper”
♫
Said on Practical Founders Podcast
“Jev is a router… as I have text, route to the right tool, and then if I can infer from the text, the job to do in the tool, I might as well infer that and route as far down the user journey as I can.”
JL
John Lindquist
How I AI ·
“I had like 2,000 passwords… how much faster it would have been to use Jev and some of the metadata to just pair those up and merge them.”
JL
John Lindquist
How I AI ·
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