Speakers in the public record
Claim mix
evaluation 7belief 6observation 1preference 1recommendation 1prediction 1
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Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
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The useful parts, with receipts.
17 published records
“Like you've seen like diffusion is also like a, I would say like this format of a prior that you put on a certain architecture, but it's still like you, there's debate between like diffusion and learning algorithms or diffusion is actually part of the architecture.”
- Publisher
- The Cognitive Revolution
“We're talking about a model class that would actually sit on top of, let's say, hardware on a laptop, for example. And yeah, so I would say you need to have that, but I mean, if the default is just giving you that efficiency and that, Like it's ready to go, that's like the choice, that's something that I think Nvidia is trying to propose, like in enterprises, when they go and sell, like the NIM project, Nvidia NIM projects, when they go out there and sell these things, it makes a lot of sense, because you already have like a project, you already have a multimodal model that is loaded on top of your, let's say, the PC that you bought, you know, and...”
- Publisher
- The Cognitive Revolution
“The problem is that not all the time, like if you have non-linear relationships in an equation, you cannot trivially create a one-to-one map between a vectorized computation and a tensorized computation.”
- Publisher
- The Cognitive Revolution
“I'm actually like training some stuff, and I really don't want to get away from that kind of mentality, because I think everybody can actually be able to now build, and I think that the times couldn't be better the agents are pretty...”
- Publisher
- The Cognitive Revolution
“Why? Because I believe... human brain over the... We also have to consider the amount of energy that went into design of humans as a whole of biological evolution.”
- Publisher
- The Cognitive Revolution
“I believe the format of intelligence that is going to be miniaturized, you know, like being like in a smallest amount of time, maximum amount of intelligence, like the human brain, we need to come up with these identifiers, like these confounding kind of algorithms, which is next token prediction is one of those.”
- Publisher
- The Cognitive Revolution
“I would say if you want to get into architectures that enable next generation of neural networks, sorry, next generation of intelligent systems in a way that they can become like human brain that actually performs, you know, like performs computation with 20 watts of power and it's already an AGI that does that between, that's like the massive Exploration that goes beyond architecture, it goes into memory research, it goes into learning algorithms kind of feature, it goes into data feature, you know, it goes into prior research, you know, like looking at it from a statistical learning perspective.”
- Publisher
- The Cognitive Revolution
“Now, excuse me, what I What sort of jumped out at me in terms of your approach is that you've developed a architecture search process where the promise to customers is not that, hey, we developed this one paradigm and the old calculus teacher used to say, when all you have is a hammer, everything looks like a nail.”
- Publisher
- The Cognitive Revolution
“systems at every scale. And we coined the word efficient in our mission, and we care about it so much, because I think we are, from a foundation model company's perspective, we are probably the most efficient foundation model company on the planet.”
- Publisher
- The Cognitive Revolution
“I consider myself extremely fortunate to live to a really remarkable degree, a curiosity-driven life these days. And that's one candidate for a positive vision for the future that I think should inspire a lot of people, especially because, as you note, there's an opportunity to move into that phase already with the AI systems that we have.”
- Publisher
- The Cognitive Revolution
“You can do that on a CPU, like on even simple CPUs or simple GPUs, you know, because they don't have that much of, probably like one of these liquid neural networks would fit on, I don't know, 1 to 25 megabytes of like file size, basically, you can literally put them there, and then, a CPU would be enough, like a Raspberry Pi would be enough, like to perform computations.”
- Publisher
- The Cognitive Revolution
“as a whole, and this animal exhibits massive amount of kind of sensory reactive kind of behavior, like amazing levels of control with 300 cells in its nervous system. And that's what's fascinating for us because this is much smaller than any neural network that performs control at that time, like on, let's say like autonomous systems, and this worm, it can do better, dexterous movements and stuff like better than, the best robotic systems that we actually had in the world.”
- Publisher
- The Cognitive Revolution
“ficient format of architecture. And it became the double-gated convolution that actually came out of this massive search space, like AFMD, you know, like this original kind of system that we designed.”
- Publisher
- The Cognitive Revolution
“You don't even need some of those hybrids. But hybrid is just boost that accuracy because as we see, as I said, the ON2, like basically the complexity, that computational complexity at a certain level, at a certain scale, it is needed for us to really get to those performances that you want to.”
- Publisher
- The Cognitive Revolution
“I see that because the repository, the original repository from years ago is still like open source, you know, like people are still like building predictive kind of machine learning models on sequential data or physical data or sensor data that it makes sense because the systems are continuous time and it makes sense to have like a continuous.”
- Publisher
- The Cognitive Revolution
“There are platforms that hopefully like as we go forward in the next few months, we are going to announce like some Platforms that would you can hook it just directly in your channel you don't need to do anything, you just say, Hey, you know what, go call this platform now for fine-tuning this thing, go call this platform, and this would give you a production-grade foundation model that you can deploy it now for yourself.”
- Publisher
- The Cognitive Revolution
“it so much, because I think we are, from a foundation model company's perspective, we are probably the most efficient foundation model company on the planet.”
- Publisher
- The Cognitive Revolution