Pushmeet Kohli
speaker
15 appearances
2 recordings
2 series
first heard Jun 2025
last heard 4 Jun
Pushmeet Kohli’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 — 1 in all, peaking in Jun 2026 with 1.
Appearances
Thanks, Dom.
I mean, we are seeing these systems of intelligence which are allowing us to reason about the data that we have captured at a scale that is just not possible with a single human mind.
they humanly cannot read are the hundreds of thousands of scientific results that are coming out each year.
And what these scientific agents like the AI co-scientists allow us to do is basically explore that vast scientific literature to find the answers to the problems that scientists are interested in solving.
So hallucinations are a research challenge that all teams are sort of working on resolving.
And in the context of co-scientists, there are tens of thousands of Gemini submodels that are working to figure out the evidence for every claim or every assertion that has been made in a particular hypothesis.
Yes, I think so.
I think that thinking about what are the scientific problems that are going to change the world in a better way, that will be the role of the human scientist.
The manual process of going through hundreds of thousands of papers and actually bringing insights and piecing them together to find the solution, that process is where these AI agents will be able to help us in accelerating science.
I think the important thing to mention here is that this technology is going to lead to an acceleration and an expansion of science.
It will not mean that less science happens.
In fact, it means that science will become much faster, much more efficient, and we can do more of it.
The mission statement that we have for the science program at Google DeepMind is to leverage AI to accelerate and advance science.
So it really gives you a more detailed and more accurate picture of what is happening inside the body, where proteins are not just sort of existing in isolation. They are interacting in a very rich biological space or soup of proteins. RNA and DNA and small molecules and it really sheds light into those rich interactions.
Some categories have much less training data available. For example, there's much less structural data available for RNAs.
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