LLMs
13 statements across 9 episodes · 9 bullish · 2 bearish · 9 people on the record · first statement Feb 2, 2024 by Manoj Agarwal · across every show →
Everything said about LLMs, oldest first
Feb 2, 2024 positive
Agarwal: Most Enterprises Will Train Domain LLMs Over General Models
“So most enterprises that you will see that they will just do it that way. In many cases that you'll also see that especially for the enterprises again, that they will go and train the LLMs with the data set for their domains, with their data. Instead of just g…”
Oct 31, 2025 positive
Chopra: Foundation LLMs Are Infrastructure Partners, Not Vertical SaaS Competitors
“The reason I'm not worried is I do see us partnering up with these companies because I do feel like these are more in the AI world, the infrastructure companies, and we will be utilizing This infrastructure to build, you know, applications or wrappers on top.”
Nov 21, 2025 bullish
Ghosh: LLMs Will Disrupt Massive Observability and Security Markets
“So, in the observability area of the site observability. Similarly, for security observability, I think there is a massive area SIEM. I would say these are backward facing categories which are massive TAM which will be impacted by LLMs and by using Gen AI.”
Nov 21, 2025 bullish
Ghosh: Semi-Structured and Unstructured Data Lakes Will Become Massive
“I think data lakes will see more and more semi and unstructured data because you can squeeze more enterprise value out of them, which has not been true. So infrastructure around semi and unstructured data lakes One of our companies, Aaron is working in that do…”
Feb 21, 2026 positive
Mar 6, 2026 neutral
Mar 6, 2026 neutral
Kamath: Scaling LLMs has diverged from building human-like AI
“Very similarly, right now in AI, we are doing LLMs, which is a different form of intelligence than human intelligence. So they have something and they are playing the sort of let's make LLMs bigger and bigger and smarter. And that is a market as well. But To b…”
May 15, 2026 positive
Bhatawdekar: AI systems require full reasoning traces to evaluate response quality
“These AI systems need to log the entire trace of how the AI reasoned on the initial input. What were the tool calls it made? How did it interact with the LLMs? How did it sort of ultimately generate the response? And did that response actually meet the user in…”
Aug 7, 2026 bullish
Goel: Cartesia Built Custom Inference Engine for Real-Time Models
“So as an example, we've built our own inference engine. It's pretty important because we think that these interactive real-time models are going to need to run in a pretty different way. So having the ability to have your own engine that is not designed for LL…”
Aug 14, 2026 negative
Jain: I underestimated LLMs and should have pivoted a year earlier
“I feel like I was a little too late in the two point of transformation. Maybe we should have done a year earlier. So I could have done this sooner. I think I, Underestimated the power of LLMs and the power of where, where the very eyes going in general.”
Aug 27, 2026 bullish
Aug 27, 2026 bullish
Kompalli: 50% of consumers and 90% of enterprises use LLMs for purchasing
“So today already there are various reports, including Gartner, that says that 50% of consumers have moved to LLMs to make buying decisions. 90% of enterprises have moved to LLMs, especially in high research categories like education, travel, healthcare, softwa…”