large language model
also referred to as: large language models · llm
46 statements across 38 episodes · 16 bullish · 15 bearish · 33 people on the record · first statement Apr 25, 2023 by Avlok Kohli · across every show →
Everything said about large language model, oldest first
Apr 25, 2023 positive
Kohli: Large language models have automated a good portion of AngelList operations
“A lot of the large language models and their advancements there have had a major impact on AngelList, just our own internal operations, right? It's been huge and we've been tinkering on it for many months now, and it's actually automated a good portion of the …”
May 9, 2023 positive
Kohli: Large language models automated a good portion of AngelList operations
“And a lot of the large language models and their advancements there have had a major impact on AngelList, just our own internal operations, right? It's been huge. And we've been tinkering on it for many months now, and it's actually automated a good portion of…”
Jun 19, 2023 positive
Jun 19, 2023 negative
Lebrun: Training LLMs on Curated Data Does Not Guarantee Trustworthy Outputs
“Even if you feed an LLM with curated data, you don't, it does, it's not guaranteed that the output will be will be good, will be perfect, that you can trust the output. So, feeding an LLM with trusted data doesn't make the output trustable because of how LLM w…”
Jun 30, 2023 negative
Jun 30, 2023 positive
Douwe Kiela: Decoupling LLM memory reduces hallucinations and enables data deletion
“You decouple the memory from the generative capacity of the large language model, and this allows you to ground the generations from the language model into things you retrieved. In your memory, essentially. So you get much less hallucination. You get attribut…”
Jul 24, 2023 positive
Adam Mosseri Uses LLMs to Summarize Performance Feedback and Edit Writing
“I write pretty detailed reviews for my reports every six months and so I don't have AI write it, but I have it take a first pass at summarizing all the feedback to make sure I didn't miss anything. I will sometimes Give it a piece. I do a lot of writing at wor…”
Aug 7, 2023 neutral
Aug 18, 2023 negative
Aug 18, 2023 positive
LLMs allow small startups to rapidly build 80% AI product MVPs
“Because of these large language models and foundational models we can have a general sense of understanding natural language, and you can, as a small startup nowadays, build in like, 80% solution very quickly. And then you layer more and more specific data for…”
Aug 18, 2023 positive
Aug 18, 2023 neutral
Aug 25, 2023 neutral
Howie Liu: Enterprise AI Adoption Remains in an Early Education Phase
“And there's also just a you know, we're still in the education phase where I think every enterprise is, is getting savvy as we speak or trying to get savvy as we speak in terms of what is, you know, what is an LLM? You know, what are these basic primitives, ri…”
Sep 27, 2023 bearish
Dec 20, 2023 positive
Cohen: LinkedIn is using LLMs to create interfaces that morph to users
“One thing that we're already underway for us is to really take away the complexity and solve it with the idea of bringing in more of this new large language models, and in general, this new brain that can exceed on top of it. So instead of adding more features…”
Feb 2, 2024 negative
Will Wu: Traditional screen user interfaces will not be replaced by AI
“I don't think that the previous human computer interaction paradigms are going away. For instance, look at, like, the command line interface. That was one of the original ways to interact with computers. Like, people are still using command line interfaces tod…”
Apr 8, 2024 negative
Lehmann: High LLM compute costs prevent killer apps beyond chatbots
“I believe that one of the overlooked areas of the current state of AI and the large language models that we're using is that they're still very expensive. And as a result of that, they're dramatically more expensive than a Google search. And as a result of tha…”
Jul 19, 2024 neutral
Cameron Adams: AI innovation speed will slow down within five years
“In five years time, I would say that AI innovation will have slowed by then, and a lot more will be standardized. Social patterns will be established of like how we interact with AI. The possibilities of what LLM can do are very well understood and known, and …”
Jul 31, 2024 bullish
Mollick: AI value accrues to skilled integrators, not compute providers
“The real value of the steam engine came from having skilled artisans in your factory who said, I've got this thing that can make power go back and forth. How do I create the gearing to connect that to my, you know, my spinning Jenny, my ammunition manufacturin…”
Aug 26, 2024
Oct 14, 2024 bearish
Frankel: LLM tools will commoditize, letting SaaS companies buy AI infrastructure cheaply
“I think the tools, I actually think some of the LLM and the, you know, I think some of the tools are actually very commoditized. So I think that the vertical SaaS or horizontal SaaS or data owners We'll be able to access the underlying tools reasonably cheaply…”
Dec 16, 2024 bullish
Dec 18, 2024 neutral
Daniel Dines defines enterprise AGI as predictable 120 IQ multitask capability
“AGI for enterprises would be when I have an LLM that has the capabilities of a guy with an average IQ like a 120 points. But predictably. Not a 180 in some fancy math jobs and 60 into, you know, other type of job. Predictably. This is AGI.”
Jan 15, 2025 negative
Riparbelli: Claiming AI prompt tools will easily kill software incumbents is naive
“And I think that's like a really, really naive view of what it's like to build a business. Technology and lines of code is super important, but as you know, right, you've built your company yourself. It's a, it goes way deeper than that. And I think it really,…”
Jan 29, 2025
Ross: Generative AI Is Fundamentally Different From the Internet
“Is AI the next internet? And I'm like, absolutely not, because the internet is an information age technology. It's about duplicating data with high fidelity and distributing it. It's what telephone does. It's what internet does. It's what the printing press di…”
Jan 29, 2025
Feb 17, 2025 positive
Mar 5, 2025
Mar 21, 2025
Apr 10, 2025 negative
Hulme: High UK energy costs prevent competitive AI model training
“We have the, probably the highest electricity or energy costs in the whole of the Western world. In the UK. That just does not enable you to do a great job of this. It doesn't even enable you to do a great job of training foundation models. Like, if the blende…”
Apr 18, 2025 positive
Jun 12, 2025 negative
O'Driscoll: AI developers don't need to license more than two or three news outlets
“You could imagine an LLM saying, I need to get modern news from AP and one national newspaper, but I sure as hell don't need six. Because if you think back... By the time you got to the third, you're like, I know already, 90% of the content is repetitive”
Jul 11, 2025 bearish
Jul 11, 2025 bullish
Sep 1, 2025
Frosst: Fewer than 20 companies globally build foundational large language models
“Maybe there's like 10 companies in the world that are building, like, large language models. In the, yeah, maybe the, in, maybe there's like 15 in, I don't know, we'll have to figure out how, there's a few that have popped up recently. But there's some number,…”
Sep 1, 2025 neutral
Frosst: Large language models have made zero independent scientific or intellectual breakthroughs
“There has been no independent breakthrough that an LLM has made. Right. There has been no, like nobody has seen, nobody asked in LLM, Hey, solve this problem. No one's solved before and get the answer. The breakthroughs are still people.”
Sep 11, 2025 positive
O'Driscoll: Data Labeling Firms Will Sell Legally Compliant Book Datasets for AI
“I assume that there will be a much more efficient way than that of doing it. You're exactly right. I'm sure, for example, that there will be a corpus available of a purchased copy of every, you know, I'm sure that Scale some one of these label guys that says w…”
Oct 13, 2025 positive
Nov 3, 2025
Pineau: Meta's 2019 RoBERTa model hit 20M monthly downloads during LLM hype
“We were in, in the frenzy of large language models, and I pulled the stats on, you know, most downloaded models of last month. We had a model like Roberta from 2019, small language model, was getting twenty million downloads a month.”
Jan 15, 2026 negative
Mar 14, 2026 bearish
Apr 27, 2026 negative
Adam Foroughi: Custom Recommendation Models Outperform Frontier LLMs for Ad Delivery
“You can't just go defer to the large language model and say, hey, based on what you know about this user and the data I have available, what's the next ad to see? That wouldn't work as well as a custom model built for this purpose.”
Jun 25, 2026
O'Driscoll: Converting medical AI discoveries into commercial value takes 10 to 15 years
“The lag time between I've had amazing invention and revenue in the kind of LL, core LLM space is a year, or two years, or three years. The lag time if you have a medical invention, an idea, and turning that into real meaningful economic value is 10 or 15 years…”
Jul 13, 2026 bearish
Abrahami: LLMs will not replace white-collar jobs because they lack reasoning
“I would not be That concern with LLM is replacing every kind of a white color jobs. That's not going to happen. It's not that smart. You keep making silly mistakes. It's not very good. Actually, it's not very good at reasoning. It's very good at collecting dat…”
Jul 31, 2026 positive
Park: LLMs can simulate realistic human behavior across domains
“One of the early observations that we made was that these models are trained on so much of human behavior data, sentiment data that were expressed on the web. So if you poke at them sort of at the right angle, you could actually extract a lot of realistic huma…”
Aug 29, 2026 neutral
Reyes: True continuous learning within a closed-loop LLM does not exist
“There was an idea of continuous learning from over the last couple of years that said that you would have a, like a literal LLM like model where all of the learning happens internal to this closed loop system. That technology has not been developed. It doesn't…”