Jeff Dean
speaker
343 appearances
1 recordings
1 series
first heard Aug 2026
last heard 1 Aug
Jeff Dean’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 Aug 2026 with 1.
Appearances
Yeah, waiting is no fun.
Yeah, I mean, I think, well, imagine what you could do with something where the latency is, you know, 50x better.
Yeah, that's a good question.
I mean, I think...
Probably one thing is people don't quite realize how possible it is to have agent-based systems that can run not just for an hour or two hours on a problem you care about, but for some problem domains and with highly capable models underlying them, you can get them to run for days or weeks and do really, really complicated tasks.
And I think that's...
Some people are starting to see inklings of this, but I don't think everyone has really internalized this.
And that's going to be really a pretty big deal.
Yeah, I mean, I think you can tell agents to go off and implement
you know, completely new versions of software in different programming languages that might be, you know, have better safety properties or better performance properties.
And then they can go off and actually do that in a, you know, pretty serious way.
Yeah.
Yeah, yeah, I mean, I sort of had done, you know, we were starting to see really good quality results on the sort of deep learning based speech systems, speech models we were training, but they were computationally expensive compared to the old speech system, but they halved the error rate.
So that was like the equivalent of 20 years of advances in speech recognition in just a few months of like fiddling with the model and scaling it up a bit and getting better data.
And so we started to get worried that if speech worked a lot better, people would use it more.
And so that back of the envelope calculation was really about that.
Like, well, what if people start to use speech recognition more to dictate emails or to talk to their phone or whatever?
And yeah, it turned out that...
we realized that we needed some better solution than running on CPUs at the time.
And so we came up with TPUs, which are sort of very specialized for essentially low precision dense linear algebra, which is at the heart of nearly all of the modern machine learning algorithms we use today.
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