large language model
also referred to as: large language models · llm
19 statements across 15 episodes · 11 bullish · 4 bearish · 12 people on the record · first statement Mar 9, 2023 by Trung Phan · across every show →
Everything said about large language model, oldest first
Mar 9, 2023 neutral
Phan: AI models will commoditize, making UX the primary daily differentiator
“If the underlying models are going to be largely commoditized because every browser will have it, like every productivity tool will have it is People will be like, okay, well, which one will I actually use every day because it's convenient.”
Oct 1, 2024
Oct 6, 2024 negative
Nov 1, 2024 positive
Crivello: LLMs easily defeat deliberate email obfuscation techniques
“Sometimes it's people, you know, they spell out like dot com, you know, D O T C O M in order for like, buts not to see them while jokes on them, like now it's AI all over it. Right. And so even if it's like that, like sometimes they write like, oh, my email is…”
Nov 8, 2024
Simons: Build LLM features incrementally with minimal initial prompts rather than bulk
“Especially, especially when you're dealing with stuff that's going to be like more complicated functionality. Like for design changes, I'll often just, I'll just kind of like, I'll be like looking at the designers creating a list in, in one shop message. I'm l…”
Nov 8, 2024 positive
Nov 11, 2024 bullish
Mar 14, 2025 negative
Fragile integration of multiple tools prevents Jarvis-level AI assistants
“If you're wondering why we don't have an Ironman level Jarvis assistant is because combining these tools, making it work with the LLM is one thing. But then stacking these tools on top of each other, making it cohesive, making it work together is a nightmare i…”
Apr 30, 2025 bearish
Isenberg: AI automation workflows eliminate the need for junior salespeople
“You can create a, you know, use an LLM to validate a raw list of leads, then get info from that website, analyze it, generate a report, and send custom outreach. You don't need a junior salesperson. Literally just automate it using Vibe Marketing.”
Sep 12, 2025 positive
Oct 6, 2025 positive
Koe: Prompting LLMs with specific expert frameworks beats general prompts
“The reason we do this rather than, hey, here's my product. Help me create an offer from it is because I want to narrow the context from the beginning, right? I don't want AI. I don't want the LLM to pull just general context that it thinks is best for creating…”
Oct 6, 2025 neutral
Oct 6, 2025 negative
Koe: LLMs struggle to write tweets without hyper-specific guidance
“So with this, I'm not asking it to write tweets for me because the LLM isn't going to be too good at doing that unless you
Guide it to in a very specific way, but instead here is I have it give me the pieces of ideas like the deconstruction of high performing …”
Feb 16, 2026 positive
Mar 17, 2026 positive
Mar 24, 2026 bullish
Isenberg: Builders Combining Clean Web Data and LLMs Have a 12-Month Head Start
“So the people that understand how important, ah, the clean data is, and how important you can use the clean data and wrap it around a brain, an LLM, and wrap that around a piece of software those are the people that are going to be able to create the most valu…”
Apr 18, 2026 positive
Apr 18, 2026 positive
Aug 3, 2026 positive
Isenberg: Graph engineering makes AI quality less dependent on perfect prompts
“Like, a big reason why graph engineering matters is it makes quality less dependent on someone remembering a perfect prompt to ask their LLM. It makes reviews way more consistent. It makes delegation in general way cleaner. It makes approval way more explicit.…”