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.”
Public evidence record
CEO · Microsoft
Books, apps, and tools
app / uses
“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.”
Claim ledger
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.”
02 / prediction
“Uh, right? That idea that, “Oh, wow, my generalist skills have gotten higher leverage,” I think is what we’re gonna see across the board.”
03 / prediction
“I think that’s going to be one of the biggest places of innovation, because right now I want to be able to use multiple agents.”
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.”
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.”
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.”
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.”
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.”
09 / prediction
“I am thrilled that I'm going to be leasing a lot of capacity in '27, '28 because I look at the builds, and I'm saying, "This is fantastic.”
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.”
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.”
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.”