LLMs

“I do think, though, there should be more like, intellectual flexibility between the disciplines, especially with, like just how easy LLMs translating between different languages will be, so it's like, oh, yeah, there's some sort of, like, Little bit trickier, …”

“GitHub Copilot was the one product that didn't have super high churn. Obviously that's changed now with things like perplexity and chat GPT and a lot of these apps, but GitHub Copilot was the first canary in the coal mine for these LLMs. These AI systems are r…”

“Intelligence is, is so valuable and LLMs and AI is so valuable that, that, you know, yeah, even if you're like the sixth best model, you can still sell the intelligence if it's at the frontier level to the market at a market clearing price that still generates…”

“How, in what world does AI and LLMs not wind up being around a trillion dollars of value? I get that. Like it could go any direction and like how you slice that up. It could be very equal. It could be one winner take all. And you know, Hey, people are gonna ha…”

“You know what's gonna happen here is that the mainstream media is gonna do these tests where they go. You know what they did on like you know, TikTok and Instagram where they'd be like, I followed a bunch of Nazi content, and then it gave me more Nazi content,…”

“I would love to invest in something that's a next generation replacement for LLM. It's not a better LLM, but something that will, you know, transforms a pretty good double tundra, but that's something that would Be a you know, complete it would make LLMs obsol…”

“Don't confuse The fact that LLMs are powerful technology, like there's stuff you're going to do with them that are going to be great for all sorts of businesses with the disruption itself being a good business.”

“They're unlike Google aren't going to get disrupted in their core business on this. They don't have a search business. They don't have a lookup business to disrupt. They have a shit ton of an engagement attention and they sell ads. And you know, what definitel…”

“So I was running the product for the developer platform at Facebook, which was like AI bots, messenger bots. It's like the hottest thing in Silicon Valley for like four months before everyone realized it didn't work because we were seven years away from LLMs a…”

“I'm simultaneously every day blown away, and I'm also every day like, Oh, this is the dumbest thing I've ever seen. And the idea that this is approaching human intelligence is a joke.”

“Probably I wouldn't say a 10 X ad platform. I think the important distinction is like there are certain brands and industries that benefit from like these high intent channels, right? You are looking for a mattress or you are looking for insurance. They're the…”

“We've got a graph of like how number of signups is going with LLMs. And it's like fully exponential, especially in the last two, three months still a small base.”

“You can change the sentiment and, like, improve your visibility by being active in communities, and I think that's, like, a big part of, like, how you influence LLMs. I think, like, you want to basically create, like, real content, right? Like, it's a new type…”

“So I think that the humor thing is going to be a problem to be solved. The LLMs are going to be hilarious and they're going to be hilarious in two ways. So the first way is niche humor.”

“We're going to have to learn to write with voice and really show off our distinctiveness in writing as almost a Adaptive way to say, hey, this isn't written by LLMs.”

“My working theory is that the way that you work with AI is basically like a manager. So if you think of what do you do as a manager, you set a vision, you delegate the task, you say, hey, do this, you expect it's not gonna be good enough, you're giving feedbac…”

“A business that is eager for the LLMs to keep getting better because it has the potential to make their product better. Like that's where you want to be building, right?”

“So I think over time, it's quite likely that, that the places are gonna switch a little bit, where most of the models, including, you know, LLMs and BLMs, are gonna be using real-world data collected through robots, because that's the data that has no ceiling,…”

“I try to get these to rewrite auto-generated transcripts for me so they're rewritten like a human. I try to get them to just adjust the transcript and suggest clips to tweet out and things like that. And I haven't been able to automate these things. I don't kn…”

“Distribution is king. It's very clear that, that even if you built a better product, the best product is not going to win, and we see this with the LLMs.”

“The value of LLM is when it's essentially in an ontology wrapper, because to actually create value, you have to be able to take the output, serialize it, and deserialize it in the context of the business. So the logic, actions, and security of the business, an…”

“We also believe that if it, for more kind of like kind of architectural implementation, technical perspective, the value is in high fidelity data captured in, in ontology with FDs and where there's an enhancing factor with LLMs and that that's going to be very…”

“In core ranking systems I haven't seen anything yet that's, like, much better than the state-of-the-art machine learning models. So I'd say we're, at least in core ranking systems, probably not a lot of LLMs.”

“I started a company 10 years ago called Octane to make Facebook Messenger bots when there was like the big Facebook Messenger bot craze, which didn't work out because LLMs didn't exist. So like the bots you could create were like, Really, really stupid. Not in…”

“When you build a social network for really smart LLMs, a hundred percent of your user base is very, very good at coding and debugging.”

“It's going to broadly damage consumer trust and LLMs. Some people will just be like, wait, like, They're, they've been kind of like making money on me without me knowing.”

“And then the other thing is, like, it's gonna broadly damage consumer trust in LLMs.”

“I think robots are probably, like, 24 to 36 months behind other forms of LLMs that are, you know, just diffusing through society”

“You can always just quantize the models down. And so, like, you can actually run, like, really frontier, like, source models on, like, Pretty normal hardware now.”

“They're totally putting our business on steroids. Like, without LLMs, nobody would be talking about our ontology, about Apollo managing secure exploits, about our ability to manage an enterprise, essentially, as turning all these companies into FDEs.”