Rohin Shah
speaker
1,071 appearances
1 recordings
1 series
first heard Jun 2026
last heard 2 Jun
Rohin Shah’s voice in public audio — every appearance, attributed to the second.
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Building an artifact like Gemini is very, very difficult.
The main reason being you have to produce this one thing, this single set of model weights deployed on using a single serving stack.
And it has to satisfy so many constraints.
And there are interaction effects between all of these constraints.
So there's stuff like, does it do the instruction following right?
Is it doing safety right?
Is the way that, you know, have the model weights been chosen in a way that the architecture been chosen in a way that enables fast inference?
Does it speak multiple languages?
They're just like probably a hundred such things.
And it is the case that if you like make one change to the process with the intent of like making one of these things better, say safety, it will have like random downstream knock-on effects on other constraints that you totally did not anticipate.
I mean, to some extent, yes.
DeepMind was founded with this mission.
That was one of the reasons that DEMIS founded it.
And DeepMind has had an AGI safety team since well before I joined the company.
They didn't need to have it.
It's a bunch of money that they're spending that they didn't really need to spend.
So they definitely do care.
But in fact, there are many, many, many things that we could do to improve safety, but only a few things that we can do at any given time because it takes quite a long time to do it.
Now, do we have tools for reacting to safety problems that we see in deployment?
Yes.
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