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Published podcast speaker
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8 transcript-backed records
01 / commitment
“I mean, I think we talked a little bit about this, but the one thing I will say is I'm really excited about where audio is going also.”
02 / belief
“In fact, it's actually so fast that like sometimes in anti-gravity, like by the time I want to cancel, like it's too late. And so I think like we already are like, I think trying to figure out where do you start getting to Logan's point a different answer, like the diminishing returns and where do you see that value proposition is I think part of the question too.”
03 / commitment
“So we want any of our enterprise customers or a developer who's building their own use case to be able to leverage Gemini effectively. And so it is important then from a model standpoint that we're training in such a way that we actually, we sort of call it like harness diversity.”
04 / evaluation
“5 Flash because I think Flash does this really awesome job of being at the sweet spot of being really smart while also being really fast and really cost effective.”
05 / evaluation
“I think the other part though is like, how does deep research do so well or how can we use the model in search is because we also have the model search, right?”
06 / prediction
“I think we're gonna keep getting things that we're using internally that we even start to push out externally through previews and this.”
07 / evaluation
“Because they're now actually talking to create code, which I think is pretty cool.”
08 / evaluation
“Actually, like, it was awesome, one of my coworkers Anka, she's our lead for safety and alignment. And the other day, she, I think maybe a couple days ago, she pinged me from her hot tub and she was like, I could run all of these ablations from my phone because I could kick off a bunch of things to actually ablate Gemini to test for a bunch of these issues to see how some of our SIs differ or some data ablations differ.”