Friedberg notes DNA sequencing costs dropped from $100 million to $100 for a human genome over twenty years.
“Twenty years ago it cost a $100,000,000 to sequence the human genome. Today it costs a 100, and you can do it in a few hours.”
Friedberg notes DNA sequencing costs dropped from $100 million twenty years ago to $100 today, enabling new biological discovery approaches.
“Now DNA sequencing costs have gotten so cheap, right? Twenty years ago it cost $100,000,000 to sequence the human genome. Today it costs 100, and you can do it in a few hours.”
Friedberg notes genome sequencing costs dropped from $100 million to $100, enabling microbe identification in soil.
“Twenty years ago it cost $100,000,000 to sequence the human genome. Today it costs 100, and you can do it in a few hours.”
Friedberg explains LLMs are text predictors, reframing AI as prediction engines applied to genomics.
“They were able to suck up all the text on the internet and use that text to make a prediction on what the answer should be”
Friedberg explains LLMs are text predictors using internet data to generate word-by-word predictions, not true AI.
“They were able to suck up all the text on the internet and use that text to make a prediction on what the answer should be when someone asks a question word by word.”
Friedberg describes genome language models that can predict plant phenotypes from specific trait requirements like 90-day corn.
“I can now build models that some people are calling genome language models or, you know, whatever you wanna call them that can be predictive of a phenotype.”
Friedberg states Auto Research produced work equivalent to a seven-year PhD thesis that would be published in Science journal.
“But using auto research and a chunk of data, something was published internally that we said, oh my god. And that would normally be a PhD thesis that would take seven years.”
Friedberg says Auto Research accomplished in thirty minutes work that would normally take seven years as a PhD thesis.
“But the technical stuff, the science stuff, we did something in thirty minutes using auto research, and I love your view on auto research and what that tells us about how far we still have to go in terms of efficiency.”