Public evidence record
Published podcast speaker
Claim ledger
22 transcript-backed records
01 / evaluation
“diately and I built this thing with a small team that's called the Semantic Kernel which is one of the very early orchestrators just because I wanted to be able to put code and And inference together.”
02 / observation
“Like, it is all the time, it is all levels, it is all the way from really pragmatic, approachable stuff for somebody starting out who doesn't know things, all the way to like Absolutely cutting edge research, silicon, models, AI for science, like, we didn't talk about any of the AI for science stuff, I've seen magical stuff coming out of the research group on that topic, like just crazy cool stuff that's coming, so.”
03 / prediction
“I think one of the other ones that's kind of interesting that I think people still don't fully appreciate is that GPT 4 is the rough equivalent of like a human being sitting down for centuries or millennia and reading all the books that they can find.”
04 / commitment
“I had a moment with him actually about three weeks after that when we had been, so I started like diving in on developer tools almost immediately and I built this thing with a small team that's called the Semantic Kernel which is one of the very early orchestrators just because I wanted to be able to put code and And inference together.”
05 / evaluation
“Like, I seriously, like, this is, I, well, it's funny, like, I don't mean to be snarky, but, like, I was at a dinner, like, a, I don't know, six months ago or something, And I was sitting next to a CTO of a large, I won't name the corporation because it would name the person, but I was sitting next to the CTO of a very large Japanese technical company, and he was like, like, nothing has been interesting since the internet, and this is interesting now, like, this is fun again.”
06 / commitment
“Although I do agree with all, I believe all of them because I wrote all of them.”
07 / prediction
“All the Azure OpenAI stuff, and then there's all the stuff that's in Office and Windows. And I, so I think, like, the way, I don't know, the way to think about Microsoft is we're just powering AI at every level we can, and making it as accessible as we can to both end users and developers.”
08 / evaluation
“Because you don't want like, if you're going to ask the model to go do something and the output's going to be a hundred thousand lines of code, if it's got to generate that code every time, the randomness, the stochasticity is like going to make that basically not reliable.”
09 / evaluation
“Now I have a car that works like a car that solves some problems that's way cheaper to operate, because the fuel is cheaper.”
10 / belief
“If you made the NFT of it, that would be more authentic, I think, than the document almost.”
11 / belief
“" Then grind away at that for a week and see how close I can get. See what I learned about why it's hard.”
12 / belief
“I think that's just the right mindset for something that's obviously this disruptive, right or wrong.”
13 / uncertainty
“In the early days, we had, I don't know, a couple of million users, five million users, and there were still executives at Google telling me that it was a stupid idea and that it should stop and we shouldn't be doing it.”
14 / belief
“I think there's a lot of, probably a quarter at least, if not a half of what I just said is wrong in some way.”
15 / commitment
“Well, I've been writing letters to my engineering team on Sunday since I was the head of engineering at Box, and I think that's 12 years now or something.”
16 / recommendation
“The other one I recommend to people with some caution is this very intense and disturbing book called The Wasp Factory by Ian Banks, which is probably the creepiest and hardest book I've ever read, but it's a very interesting psychological deep dive.”
17 / preference
“I just drive Japanese cars, because I grew up in Detroit and just hated that culture. And so recently we bought a Ford Mustang Mach-E, the electric Ford Mustang, and I just love the shit out of that car.”
18 / preference
“Now, lots of people have said that before, but I think all those pieces connect for me in this idea of being optimistic and open to trying stuff.”
19 / preference
“I think a lot of the good product ideas, most of the good product ideas actually come up from engineering. So I think there's a lot to be said for, get familiar with tools, particularly weird esoteric combinations of tools can often be useful.”
20 / evaluation
“He believes very strongly that a leader's job is to raise the energy of the organization and he really lives that. And I watch him in meetings where I'm a domain expert and I cannot believe how engaged he is in stuff and how much he understands about something that I know he's not as deep an expert as some of the people in the room are and he's fully in there.”
21 / evaluation
“I think ChatGPT is a great recent example of something that was just added a ton of new value to the world and got this explosive growth, and then you see lots of other AI stuff that people are doing that's just not bad, but not great, and it's sort of kind of adding a little bit of value and slowly lumbering along, or maybe it's going to collapse under its weight.”
22 / recommendation
“Plus you get this one new feature that's really, really useful, which is collaborating with each other and not having to send attachments around the old file servers, but we're going to take away most of the features, because we don't care about them that much.”