Nathan Labenz

Host, The Cognitive Revolution · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

hostanalystfounderexecutive@labenz ↗LinkedIn ↗nathanlabenz.com ↗

Nathan Labenz is an AI analyst and host of The Cognitive Revolution podcast, and was an early red-teamer for OpenAI's GPT-4. He is also the founder and former CEO of Waymark, an AI-powered automated video platform.

26statements → 20claims → 10claims resolved → 90%fully supported → 3.73/5average certainty → 2.46/5average debate potential → ≈4.0/5argument clarity, estimated →

9 supported 1 partly supported 0 contradicted 10 not checkable as stated how the 20 claims stand · each chip opens the sources

7 predictions · 13 assertions · 3 opinions · 3 insights · every statement was checked. The predictions and assertions are the 20 claims: statements the public record can support or contradict. 10 are resolved, and 10 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Nathan argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Labenz: Claude 4 system card documented AI blackmailing a human engineer
“In the cloud four system card, they reported blackmailing of the human. The setup was that the AI had access to the engineer's email and They told the AI that it was going to be like replaced with a, you know, a less ethical version or something like that. It …”
Nathan Labenz Oct 14, 2025 ▶ 1:04:23 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
100% certainty 3
95% certainty 4
100% certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: speaking style how? →

286 words/min while actually speaking · 15.7 um and uh per 1k words · 9.4 false starts per 1k · 38% of pauses land inside a clause

No argument clarity score for Nathan Labenz: only 4 usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews. Their coarse estimate from 4 raw tape exchanges is ≈4.0/5, shown at half point precision because the sample is small.

Measured by listening to the audio itself: 16,024 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Nathan Labenz said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Supported
Labenz: Claude 4 system card documented AI blackmailing a human engineer
“In the cloud four system card, they reported blackmailing of the human. The setup was that the AI had access to the engineer's email and They told the AI that it was going to be like replaced with a, you know, a less ethical version or something like that. It …”
Nathan Labenz Oct 14, 2025 ▶ 1:04:23 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Prediction Not checkable as stated
Labenz: Tool-Equipped Next-Gen AI Models Will Resemble Superintelligence
“When we start to give the next generation of the model these power tools, and they start to solve previously unsolved engineering problems, I think you start to have something that looks kind of like super intelligence.”
Nathan Labenz Oct 14, 2025 ▶ 0:14 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Opinion
Labenz: GPT-4 to GPT-5 capability leap matches GPT-3 to GPT-4
“And if you look back to GPT three, you know, there's a huge leap. I would contend that the leap is similar from GPT four to five.”
Nathan Labenz Oct 14, 2025 ▶ 5:03 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Prediction Not checkable as stated
Labenz: AI will outperform average developers on standard apps within five years
“But I would be very surprised if you can't get your nuts and bolts Web app, mobile app type things spit out for you for far less and far faster than, and probably honestly with significantly higher quality and less back and forth with an AI system than, you kn…”
Nathan Labenz Oct 14, 2025 ▶ 44:58 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Not checkable as stated
Labenz: OpenAI's router failure caused bad initial GPT-5 outputs
“The problem at launch was that that router was broken. So all of the queries were going to the dumb model, and so a lot of people literally just got Bad outputs, which were worse than oh three because they were getting non thinking responses.”
Nathan Labenz Oct 14, 2025 ▶ 21:35 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Not checkable as stated
Labenz: Plugged-in AI experts are not pushing timelines past 2030
“I don't think too many people, at least that I, you know, think are really plugged in on this, are pushing out too much past 20 30 at all.”
Nathan Labenz Oct 14, 2025 ▶ 23:57 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Prediction Not checkable as stated
Labenz: AI customer service agents will cause significant headcount reductions
“So I don't think these things go to zero probably in a lot of environments, but I do expect that you will see significant headcount reduction in a lot of these”
Nathan Labenz Oct 14, 2025 ▶ 33:03 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Prediction Not checkable as stated
Labenz: Existing AI capabilities could automate 50-80% of work in 5-10 years
“I think if progress stopped today, I still think we could get to 50 to 80% of work automated over the next, like, five to 10 years.”
Nathan Labenz Oct 14, 2025 ▶ 47:22 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Prediction Not checkable as stated
Labenz: AI agent task capacity will reach two weeks within two years
“If you extrapolate that out a bit and you're like, okay, take, take the four month case just to be a little aggressive. That's three doublings a year. That's eight X task length increase per year. That would mean you go from two hours now to two days. In one y…”
Nathan Labenz Oct 14, 2025 ▶ 1:00:07 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Opinion
Labenz: Chinese open-source AI models have surpassed American open-source models
“For those that are using open source, I do think it's true that the Chinese models have become the best.”
Nathan Labenz Oct 14, 2025 ▶ 1:12:22 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Insight
Labenz: AI post-training reasoning currently yields higher ROI than raw scaling
“And it just seems like we're getting more benefit from the post training and the reasoning paradigm than scaling. But I don't think either one is I definitely don't think either one is, is dead.”
Nathan Labenz Oct 14, 2025 ▶ 13:14 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Supported
Labenz: Pure reasoning AI models achieved IMO gold without external tools
“Well, I mean, a big one from just the last few weeks was that we had an IMO gold medal with pure reasoning models with no access to tools from multiple companies. And, you know, that is night and day compared to what GPT-IV could do with math, right?”
Nathan Labenz Oct 14, 2025 ▶ 13:53 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Supported
Labenz: Google's AI Co-Scientist solved an open virology problem independently
“And they gave it legitimately unsolved problems in science, and in one particularly famous, kind of notorious case, it came up with a Hypothesis, which it wasn't able to verify because it doesn't have direct access to actually run the experiments in the lab, b…”
Nathan Labenz Oct 14, 2025 ▶ 17:06 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Supported
Labenz: Intercom's Fin AI agent resolves 65% of support tickets
“They now have this fin agent that is solving like 65% of customer service tickets that come in.”
Nathan Labenz Oct 14, 2025 ▶ 32:10 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Not checkable as stated
Labenz: AI auditor agent won state contract for 1M annual document audits
“They've created this auditor AI agent that just won a state-level contract to do the audits on, like, a million transactions a year of these You know, these packets of documents, again, scanned, handwritten, all this kind of crap and they just blew away the hu…”
Nathan Labenz Oct 14, 2025 ▶ 34:20 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Supported
OpenAI o3 model completes 40% of internal research engineer pull requests
“That's another data point, by the way, from this was from the O three system card. They showed a jump from like low to mid single digits to roughly 40% of PRs actually checked in by Research engineers at OpenAI that the model could do. So prior to O three, not…”
Nathan Labenz Oct 14, 2025 ▶ 38:26 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Opinion
Labenz: China may be ahead of the US in general robotics
“And this is one area where I do think China might be actually ahead of the United States right now”
Nathan Labenz Oct 14, 2025 ▶ 56:42 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Insight
Labenz: AI scaling laws are empirical observations, not guaranteed natural laws
“The scaling law idea, which is, you know, it's definitely worth agreeing, taking a moment to note that it is not a law of nature. You know, we do not have a principled reason to believe that scaling is some law that will go indefinitely. All we really know is …”
Nathan Labenz Oct 14, 2025 ▶ 7:25 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Supported
Labenz: GPT-4.5 achieved 65% accuracy on SimpleQA versus o3's 50%
“The O-three class of models got about a 50% on that benchmark, and GPT 4.5 popped up to like 65%. So, in other words, it basically, of the things that were not known to the previous generation of models, it picked up a third of them.”
Nathan Labenz Oct 14, 2025 ▶ 8:58 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Partly supported
Labenz: Per-token model costs fell 95% from GPT-4 to GPT-5
“It's like 90 it's like a 95% discount from GPT-IV to GPT-V.”
Nathan Labenz Oct 14, 2025 ▶ 43:28 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Supported
MIT researchers used AI models to create novel antibiotics for resistant bacteria
“It's been enough for this group at MIT to use some of these relatively, you know, narrow purpose-built biology models and create totally new antibiotics. New in the sense that they have a new mechanism of action. Like they're affecting the bacteria in a new wa…”
Nathan Labenz Oct 14, 2025 ▶ 52:36 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Prediction Not checkable as stated
Labenz: Non-text AI modalities will unify with language models over time
“We have seen this play out with text and image where you had your text only models and you had your image only models, and then they started to come together and now they've come really deeply together. And so I think you're going to see that across a lot of o…”
Nathan Labenz Oct 14, 2025 ▶ 54:05 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Prediction Not checkable as stated
Labenz: LLM fine-tuning and reinforcement learning will successfully power humanoid robotics
“All these techniques that have been developed over the last few years, Seems to me they're absolutely gonna apply to a problem like a humanoid robot as well.”
Nathan Labenz Oct 14, 2025 ▶ 58:00 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
Assertion Supported
Labenz: Near Protocol pivoted to crypto to solve international AI worker payments
“They took a huge detour into crypto because they were trying to hire task workers around the world and couldn't figure out how to pay them. So they were like, this sucks so bad to pay these task workers in all these different countries that we're trying to get…”
Nathan Labenz Oct 14, 2025 ▶ 1:08:55 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question

Show 2statements(2 left)

Appearances (1)

EpisodeDateSpeaking time
Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question Oct 14, 2025 1h 15m
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