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Satya Nadella

CEO · Microsoft

Claims
47
Episodes
3
Shows
2
Named items
1

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app / uses

Deep Research

“I think when I use something like Deep Research, even, the minimum assurance I think we want is before we especially have physical embodiment of anything, that I think is kind of one of those thresholds, when you cross.”

Dwarkesh Podcast · 19 Feb 2025

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Claim ledger

What Satya said.

12 transcript-backed records

01 / prediction

If you don’t do that, it’s not been that great. And this time around, I’m a firm believer that ultimately if you do have a token economy that drives productivity, that drives economic growth, that drives broad spread, um, you know, participation, better health outcomes, um, then I think we’ll be in a great place.

“If you don’t do that, it’s not been that great. And this time around, I’m a firm believer that ultimately if you do have a token economy that drives productivity, that drives economic growth, that drives broad spread, um, you know, participation, better health outcomes, um, then I think we’ll be in a great place.”
Speaker
Satya Nadella
Publisher
Latent Space

04 / prediction

I think that the key, key priority for the US tech sector and the US government is to ensure that we not only do leading innovative work, but that we also collectively build trust around the world on our tech stack.

“I think that the key, key priority for the US tech sector and the US government is to ensure that we not only do leading innovative work, but that we also collectively build trust around the world on our tech stack.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

05 / prediction

If I think about all of the Office artifacts being structured better, the ability to do the joins between structured and unstructured better because of the agentic world, that will grow the underlying infrastructure business.

“If I think about all of the Office artifacts being structured better, the ability to do the joins between structured and unstructured better because of the agentic world, that will grow the underlying infrastructure business.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

06 / prediction

In this case, because we have all the IP from the GPT family, we are taking that and putting it into the core middle tier of the Office system to teach it what it means to natively understand Excel, everything in it.

“In this case, because we have all the IP from the GPT family, we are taking that and putting it into the core middle tier of the Office system to teach it what it means to natively understand Excel, everything in it.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

07 / prediction

That fully autonomous agent will have essentially an embodied set of those same tools that are available to it. So this AI tool that comes in also has not just a raw computer, because it’s going to be more token-efficient to use tools to get stuff done.

“That fully autonomous agent will have essentially an embodied set of those same tools that are available to it. So this AI tool that comes in also has not just a raw computer, because it’s going to be more token-efficient to use tools to get stuff done.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

08 / prediction

I want to be able to take the flops that we use to generate a GPT family and maximize its value, while my MAI flops are being used for… Let’s take the image model that we launched, which I think is at number nine in the image arena.

“I want to be able to take the flops that we use to generate a GPT family and maximize its value, while my MAI flops are being used for… Let’s take the image model that we launched, which I think is at number nine in the image arena.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

10 / prediction

I think in models there is one dimension of, maybe there will be a few closed source, but there will definitely be an open source alternative, and the open-source alternative will actually make sure that the closed-source, winner-take-all is mitigated.

“I think in models there is one dimension of, maybe there will be a few closed source, but there will definitely be an open source alternative, and the open-source alternative will actually make sure that the closed-source, winner-take-all is mitigated.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

11 / prediction

Ultimately, not as tech for tech's sake, but solving some of the fundamental things that we, as humans, want in our life, and more, we want them in our economy, driving our productivity. And so if we can somehow get that right, then I think we will have really made progress.

“Ultimately, not as tech for tech's sake, but solving some of the fundamental things that we, as humans, want in our life, and more, we want them in our economy, driving our productivity. And so if we can somehow get that right, then I think we will have really made progress.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

12 / prediction

One is the hyperscalers that do well, because the fundamental thing is if you sort of go back to even how Sam and others describe it, if intelligence is log of compute, whoever can do lots of compute is a big winner.

“One is the hyperscalers that do well, because the fundamental thing is if you sort of go back to even how Sam and others describe it, if intelligence is log of compute, whoever can do lots of compute is a big winner.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast
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