generative AI

“So now we have voice models that can listen to Three seconds, I think, that we had recently. This new volley of your voice, and then replicate your voice. We have models that can get, like, a very short sentence and generate, like, minutes-long video that desc…”

“Arguably, the competitive advantage is actually not going to be AI, but the competitive advantage is going to be the workflow And the collaboration that you build on top of the AI to do those things, which I think is not any more or less interesting than your …”

“I think that what I see as very interesting with generative AI is that it's like a new Lego block enabling a new generation of hackers for many vertical applications. And there are like many, many, many, many vertical applications that can be built using and b…”

“There is some parallel between the current situation of generative AI and the situation of data warehousing back 10 years ago, as in a multiplicity of technologies and multiplicity of models, question marks in terms of how you integrate them together.”

“And I think there's lots of other things like this, but I really think that one of the biggest opportunities right now is actually not necessarily selling the tools. It's actually creating the content and monetizing that content. Because the tools are becoming…”

“And I think we're going to see that a lot in the next couple of years that this is going to be a requirement for big companies to work with Genesive AI.”

“It's no one's Full-time job to make an NPC, like say your name. It's just a functionality we've never had. So you're not really replacing anything people were doing. You're just making something that didn't exist exist.”

“I think in, in six months, we'll see gradual rollouts to production for many use cases.”

“Generative AI is providing this last mile, this additional benefit in terms of traditional AI, the last mile of, let's say, personalization, for instance, The last mile of accessibility in other contexts”

“Because if we're, again, a bit honest, it's not that easy to make generative AI application work in practice. We are playing a little bit dark science there, where you get your LLM, your fine tune, your rag, your stuff around. And you decide, like, okay, good,…”

“If you compound how fast things are moving, we're going to get to a world really soon. We're going to be able to generate rich multimedia formats and audios and videos in almost real time.”

“I think there is a common misconception that the first way to think about images and videos and content and audio and all sorts of like multimedia things that you can generate with these models is that you're going to make the previous thing that we make, but …”

“But we're still, and we had, I think in 20, 23, that wave of the initial, oh my God, you can use it for that right now things, which is basically coding and brainstorming.”

“But you kind of know at the same time that in practice, what I've just described would kind of require AGI. In practice, there's like 10 ways that that's going to break And never mind the hallucination problem, which is a whole separate conversation. There's j…”

“Clearly, if we're not in a bubble now, we're going to have a bubble. It's because that's just like the nature of the light, the cycle of life. There will be a bubble around each new technology.”

“I think the big challenge that the field is facing probably in the next two or three years that we've been focusing on is how do you control generative AI?”

“The way we think, I think about generative is, it's a really great knowledge compression engine, right? Like I can compress the internet into a model that's like three gigs, right?”

“Again, in, at Fortune, we don't, we're not actually allowed to use them to write articles for us.”

“Generative AI is famously, famously very hard to evaluate. We like have no idea what's good, better, best, unless someone who's an expert in understanding that That use case can tell you that, right?”

“I mean, literally, I was talking to a CIO yesterday. Fortune 50 had just taken personally a demo from an eight-person startup, because people are so curious.”

“None of this is about productivity, right? You being able to go through Three decades of consumer research on Listerine to be able to develop a new flavor, right? You being able to develop all of the go to market around that new product in literally a third of…”

“Generative AI, as it is built today, is not meant to provide any consistency in terms of how statistically you reach a business goal through the output or through your predictions.”

“For JDIF AI, like, one of the most common JDIF AI use cases today is coding. Okay, so there are many reasons why coding is popular, and I said, like, one of the reasons is that it's very, it's a lot easier to evaluate coding than, like, other, because, like, h…”

“It's a vast majority of GF-AI systems have seen, like, you have, like, traditional or, like, analytical ML components with GF-AI.”

“There are hundreds and hundreds of companies who've already got this in production, doing stuff that's really useful where it works, where you understand what it is. So this is just objectively wrong to say that it's useless. It's already not, not in the way t…”

“First, it's arguably the most widely adopted application of generative AI today.”