The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 5 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Burke: Current virtual cell models have only around 10% predictive accuracy
“The reality is today the best models are very poor at this.
like the predictive ability of the DEGs as we call them is, is in the order of 10%.”
Burke: Virtual cell accuracy is limited by data quality, not architecture
“One of our conjectures is that one of the reasons the models aren't doing well is not just simply model structure. We have a lot of rich structures that we understand in the ML space and machine learning space that the issue is the Data quality.”
Burke: Arc Institute built SC Basecamp with 230M single cells
“We've created something called SC Basecamp and you can almost think of it like the Google crawler and index, so we've built this agent that goes onto the internet, And basically mines public single cell sequenced RNA data, and then curates it in a very sort of…”
Burke: Transcriptomic level is the right abstraction for cell modeling
“And so I think our belief around the room is the right level of abstraction is at the sort of transcriptomic level because you have these very complex gene pathways. And so whenever a cell is changing to its environment reacting, that it will be reflected and …”
Burke: Evo 2 trained on 9.3 trillion nucleotides predicts BRCA1 pathogenicity
“Like, if you look at the EVO II model, we trained it on 9.3 trillion
nucleotides, but we didn't tell it anything about DNA.
We just like, here's a lot of DNA on the planet across, you know, every single piece of DNA we could get a hold of.
And then what di…”