model

also referred to as: models

11 statements across 8 episodes · 5 bullish · 2 bearish · 8 people on the record · first statement Jul 20, 2025 by Ben Mann · across every show →

Everything said about model, oldest first

Jul 20, 2025 bearish
Prediction Not checkable as stated
Mann: It will probably be too late to align models post-superintelligence
“Like once we get to super intelligence, it will be too late to align the models. Probably.”
Ben Mann Jul 20, 2025 ▶ 42:49 Anthropic co-founder: AGI predictions, leaving OpenAI, what keeps him up at night | Ben Mann
Sep 18, 2025 neutral
Insight
Foody: Human AI data market is bound by human-model capability gap
“Effectively, the market is bound by the amount of things where humans can do something that models can't.”
Brendan Foody Sep 18, 2025 ▶ 13:20 Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody
Jan 11, 2026 neutral
Insight
Reganti: 80% of AI engineering is understanding workflows, not complex models
“80% of so-called AI engineers, AI PMs spend their time actually understanding their workflows very well. They're not building the fanciest and the, you know, most cool models or workflows around it. They're actually in the weeds understanding their customers' …”
Aishwarya Reganti (Ash) Jan 11, 2026 ▶ 1:14:35 Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon
Jan 18, 2026 positive
Insight
Arnovitz: Multi-model peer reviews mitigate individual AI coding weaknesses
“So I think that using all these models and basically playing to their strengths and mitigating their weaknesses by using other models is, is a game changer for me. So I'll do peer review a bunch of times and I'll have other models review other models code and …”
Zevi Arnovitz Jan 18, 2026 ▶ 42:56 How a Meta PM ships products without ever writing code | Zevi Arnovitz
Feb 12, 2026 bullish
Prediction Not checkable as stated
Wu: AI models could execute multi-hour to day-long tasks in 12-18 months
“If you follow this trend, like, I think, like, in the next 12 to 18 months, we could see models that could do multi-hour long tasks very, very coherently. At some point, it might reach, like, you know, six hours a day long task.”
Sherwin Wu Feb 12, 2026 ▶ 51:42 OpenAI’s head of platform engineering on the next 12-24 months of AI | Sherwin Wu
Feb 19, 2026 positive
Opinion
Cherny: Strong evidence shows LLMs perform reasoning beyond next-token prediction
“You know, like a long time ago, we weren't sure if the model was just predicting the next token or is doing something a little bit deeper. Now I think there's actually quite strong evidence that it is doing something a little bit deeper.”
Boris Cherny Feb 19, 2026 ▶ 58:03 Head of Claude Code: What happens after coding is solved | Boris Cherny
May 24, 2026 positive
Insight
Shipper: AI models will structurally always trail behind creative human users
“Structurally, because of the way the models work, because of the financial incentives of model of model companies to like make them compliant and aligned structurally, they're always going to be trailing behind those people who are taking, taking the models an…”
Dan Shipper May 24, 2026 ▶ 1:15:02 AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper
May 24, 2026 neutral
Insight
Shipper: AI models fundamentally make yesterday's human competence cheap
“What a new model drop does, or what models do in general, is they make yesterday's human competence cheap.”
Dan Shipper May 24, 2026 ▶ 1:13:38 AI predictions: Job markets, Codex beats Claude, and the death of org charts | Dan Shipper
Sep 6, 2026 positive
Insight
Keep a low-stakes persistent project chassis to test new AI models
“And I think that if you don't have a chassis on which to like with which to use the models, it's really hard to come up with an idea from scratch every time. So I I'd say like work on something. It's actually better if it's not important with a capital I, and …”
Anish Acharya Sep 6, 2026 ▶ 29:07 Why companies are becoming a series of loops | Anish Acharya (a16z)
Sep 6, 2026
Insight
AI models differ by cognitive disposition rather than raw intelligence
“It's not that one is ahead of another one is more intelligent. It's rather One is, sort of, has a mind that's shaped in one direction, perhaps creativity and openness for Quen, and others that are shaped in other directions, like, you know, neuroticism and pre…”
Anish Acharya Sep 6, 2026 ▶ 28:00 Why companies are becoming a series of loops | Anish Acharya (a16z)
Sep 6, 2026 negative
Opinion
AI foundation models are not fungible commodities
“I think for people who believe the models are commodities or totally fungible, you just haven't actually used the models.”
Anish Acharya Sep 6, 2026 ▶ 26:52 Why companies are becoming a series of loops | Anish Acharya (a16z)
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