Emilia Javorsky
speaker
1,653 appearances
2 recordings
1 series
first heard Mar 2026
last heard 20 Mar
Emilia Javorsky’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in Mar 2026 with 2.
Appearances
We have a lot of sort of counterfactual examples already of we have a lot more intelligence now than when we did start tackling cancer and modern medicine in the 1950s.
When that quest started, the doubling rate of medical knowledge was about 50 years.
Now it's down to 73 days, right?
So we've greatly accelerated our ability to get knowledge about biology and what's happening.
And remarkably, with a few exceptions here and there for certain types of blood cancers and other cancers, mortality hasn't really moved all that much.
And we haven't seen that exponential growth and understanding of biology grow.
correspond to new therapies being approved.
The number of FDA drugs we've seen approved is pretty flat actually over the decades.
And we also know that we have, we hear about geniuses in a data center, we have an oversupply of human geniuses in biology.
So there's actually far more scientists that are trained than we have available resourced environments and materials for them actually to run experiments and to learn things.
We also know that there's drugs that showed really promising therapeutic benefit potentially for cancers across the pipeline that just never made it through the FDA.
Right.
There are therapies we have that show promise for cancer that never made it for different business reasons, for different intellectual property reasons, etc.
And so this idea that the growth of knowledge, the growth of understanding has an equal sign to actually cures getting to patients just has not been proven out by the knowledge gains that we have gotten so far from medicine.
And I think in general, grand challenges just don't tend to be data, sort of intelligence limited problems, right?
There are problems around data, there are problems around incentives, there are problems around coordination.
And I think AI getting smarter and smarter is going to have tremendous gains in fields that are first principles based.
So we look at the gains that increasing intelligence is having in math, in physics, in these areas where we understand the fundamental rules of the game and applying more and more intelligence to that can unlock breakthroughs that we couldn't imagine or we haven't thought of yet.
But for biology, it doesn't have first principles, right?
It's a series of emergent properties across scales.
Showing 61–80 of 1,653 · page 4 of 83
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