model

also referred to as: models

6 statements across 6 episodes · 1 bullish · 1 bearish · 6 people on the record · first statement Nov 8, 2017 by Greg Brockman · across every show →

Everything said about model, oldest first

Nov 8, 2017 bullish
Prediction Not checkable as stated
Brockman: Scaling neural nets will unlock qualitatively new behaviors
“And I think that what that's going to unlock is you're going to be able to scale up these models and you're going to see qualitatively different behaviors from what you've seen so far.”
Greg Brockman Nov 8, 2017 ▶ 0:11 Building Dota Bots That Beat Pros - OpenAI's Greg Brockman, Szymon Sidor, and Sam Altman · Y Combinator
May 23, 2025 neutral
Insight
Koomen: LLMs are like smart fresh grads needing specific instructions
“The way that I think of these models, a super smart, you know, fresh grad right out of college that can do anything pretty well, but it has no idea what to do, you know, and the missing step is giving me the ability to teach it how to do work that I don't want…”
Pete Koomen May 23, 2025 ▶ 14:34 How To Design Better AI Apps · Y Combinator
Sep 30, 2025 negative
Insight
Anthropic's Joseph: Startups shouldn't over-invest in scaffolding future models won't need
“I think maybe the thing to watch out for is things where, like, they work now with a huge amount of work, like, to build up a scaffold, but the next generation, you're not gonna need the whole scaffold you built up.”
Nick Joseph Sep 30, 2025 ▶ 1:00:53 Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI · Y Combinator
Feb 7, 2026 neutral
Insight
Steinberger: Perceived AI model degradation is actually just rising user expectations
“No, they didn't do anything, you just adapted to the new standard, and now your expectations went up, but the model is still the average.”
Peter Steinberger Feb 7, 2026 ▶ 12:57 OpenClaw Creator: Why 80% Of Apps Will Disappear · Y Combinator
Jun 10, 2026
Insight
Franceschi: Organizing Model Context Is the Bottleneck for Most AI Applications
“I think a lot of the work to your point is the, how do you organize the context for the model? And you can use a model to help, but that is the bottleneck for most things.”
Pedro Franceschi Jun 10, 2026 ▶ 49:22 The Most AI-Pilled CEO We Know · Y Combinator
Jul 27, 2026 neutral
Insight
Cherny: AI evals saturate and must be discarded every few generations
“I think evals, they outlive the harness a little bit, but not quite that much. Like, an eval might live for maybe one, two, three model generations, but nowadays the, you know, we're on the exponential. The model is improving so quickly, very often we just sat…”
Boris Cherny Jul 27, 2026 ▶ 10:01 Boris Cherny: We Cut 80% of Claude Code’s Prompt · Y Combinator
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