large language model
also referred to as: large language models · llm
10 statements across 6 episodes · 2 bullish · 5 bearish · 6 people on the record · first statement Sep 9, 2024 by Nick Frosst · across every show →
Everything said about large language model, oldest first
Sep 9, 2024
Sep 9, 2024 bearish
Frosst: AI agents will augment workers rather than replace full roles
“I think when you look at the work people do, there's actually a lot of edge cases they encounter all the time, and there's lots of things that they do that could not be done just on the world of the, just on text, just on the world of computers. They're actual…”
Sep 9, 2024 neutral
Frosst: Large language models lack the strong network effects of social media
“Unlike some of the other
Industries. There aren't the same positive feedback loops. It's not like a social media in which if you're a single person using a social media, you're having no fun at all. And you're, you know, the more people there are, the better i…”
Sep 9, 2024 bearish
Frosst: LLMs Will Not Be Useful for Business Strategy
“I don't think we're going to get to a point where you will treat or think about an LLM as a person or a coworker. You will always know that it has very clear limitations and it can be useful when you give it the specific instructions of what to do, but it won'…”
Sep 9, 2024 neutral
Frosst: AI models are not useful to enterprises without proprietary enterprise data
“Enterprises really care about that because if they're not giving it their own data, then they're just getting random stuff out of a model, which turns out to be not very useful. It's kind of like an asset, you know, if you wanted to answer questions about your…”
Jan 16, 2025 positive
Vaillancourt: Howdy could have used LLMs as automated facilitators before shutting down
“I could have pivot now, like right around a year before we shut down the company, we could have integrated large language models into the peer-to-peer sessions to basically be an automated facilitator for these different topics.”
Jun 9, 2025 negative
Pennarun: Deploying LLM-generated apps to the public internet is a security disaster
“The default world where people like ask an LLM to slap something together and then they publish on the public internet, it doesn't seem like a very good idea to me. Right. Right. Like, yes, you can do that. But you're going to get like your stuff broken into i…”
Sep 10, 2025 bearish
Oct 20, 2025 bullish
Alarie: Reliable legal research synthesis was impossible before LLMs
“The big move was retrieval augmented generation, where you kind of run a search. So you have a master corpus of all of the relevant tax research materials. You run an intelligent search, and you've got, like, really good vector embeddings, and you're chunking …”
Mar 12, 2026 negative
Standard RAG fails in enterprises due to conflicting internal knowledge
“Just a standard LLM doing rag onto these knowledge sources and trying to answer questions is often you have conflicting answers from two different sources because that's the reality of enterprise building up knowledge bases across You know, a huge company.”