Connect your Claude, Codex or OpenClaw for full transcripts on millions of podcasts. Two week free trial, cancel anytime.

EM Ethan Mollick Ethan Mollick I am a professor at the Wharton School of the University of Pennsylvania.

“The AIs are trained to use English in this kind of case because it lets us have some observability into what they're thinking rather than non-English. It's not a lucky thing. It is an actual design decision that the AI labs are under pressure to relax, because the AIs will be much more efficient if they didn't use English.”

Into the Impossible With Brian Keating · Ideas & Essays · October 2026

“The AIs are trained to use English in this kind of case because it lets us have some observability into what they're thinking rather than non-English. It's not a lucky thing. It is an actual design decision that the AI labs are under pressure to relax, because the AIs will be much more efficient if they didn't use English.” — Ethan Mollick, Into the Impossible With Brian Keating

Brian Keating suggested we are simply lucky that AI models happen to think in English. Mollick replies that when agents talk to each other they drift toward a compressed machine language, and that keeping them in readable English is a deliberate trade-off between being able to watch them and making them efficient.

Into the Impossible With Brian Keating · 2026-10-20 Listen to the episode → More from Ethan Mollick → More Ideas & Essays quotes →

Transcript

Into the Impossible With Brian Keating Around 20:01 into the episode
Ethan Mollick

…we created a model of the world because human language models the world. Otherwise, how could we describe quantum physics unless we could describe it with like? Language. And I find that a somewhat satisfying answer, but it's still hard to answer the questions about consciousness or anything else.

Brian Keating

…Hawaiian, which has 13 letters, and there's Cyrillic, which has 32 letters, and there's English. Not all languages are the same. There's binary code. And there may be languages that these entities can communicate in that we don't understand. And we are just lucky for now that they use English.

Ethan Mollick

That's actually a big worry of AI Researcher: because if you've ever used, especially Claude Fable 5 has gotten better at this. If you've ever watched it talk to other AI agents, it talks in a language called Claudish, which is a variation of what's called Neuralese, which is, yes, of course, the AIs will come with a better language for talking to other AI agents. And a huge amount of effort in fighting inside the labs is that's more efficient, but we lose observability. We can't see what the AI is doing. So the AIs are trained to use English in this kind of case because it lets us have some observability into what they're thinking rather than non-English. It's not a lucky thing. It is an actual design decision that the labs are under pressure. The AI labs are under pressure to relax because the AIs will be much more efficient if they didn't use English.

Speaker 3

We saw you in the comments craving China's McWings, calling for China's McWings. So we stole them. Crispy, juicy, tens of chicken McWings are now a McDonald's. McDonald's World Menu Heist. Until the 16th of November, sir, from 11 a.m., fees apply to delivery orders subject to availability. Price…

Brian Keating

With the scaling laws that you mentioned, the only pushback I have is that they're just empirical. You know, they're phenomenological. They're not immutable laws of nature like F equals MA. So again, what observation would convince you that scaling is going to hit some fundamental limit? I mean…

Ethan Mollick

It's so great because you always give two questions in each question. So I'll try and pull those apart. Question one is about scaling, saturated. Scaling's already saturated multiple times. There's multiple scaling laws. I talk about a couple of them in the book, but the truth is we keep hitting…

Speaker names from our own diarization · position estimated from where the line sits in the episode

More from Into the Impossible With Brian Keating