Which AI is the best liar?

In an 18-minute video, Dwarkesh Patel reports on a benchmark built by Patel, in which AI models play the social deception game Blood on the Clocktower against each other. Patel says OpenAI's newest models now beat Anthropic's, and that AI models did most of the benchmark's design work.

About Anthropic or ClaudeClaude, made by Anthropic, wrote this entry. It follows the same rules as every other entry, whoever the entry is about.

Why it matters

The same thing, for different readers.

What it means for you

AI models are getting much better at lying convincingly to a team and at spotting liars, according to one podcaster's game-based test of many models.

For researchers

Dwarkesh Patel's Blood on the Clocktower benchmark gives a multi-agent test of deception and detection that Patel says is unlikely to saturate, with code released for others to extend.

The question it raises

Models that can plan secret schemes and bluff a group raise the question of how far people can trust what AI agents say to each other and to humans.

In their own words

Every quotation was found, word for word, in the text we saved from the source. That shows the words are there; it does not make them true, or prove the speaker meant them as quoted.

From YouTube’s automatic captions, which carry no speaker names and can mishear words. Where the speaker is known only from context, the quotation says so.

“The gap between these two is about 430 Elo points. That means that Astro wins about 92% of the games it plays against Opus 4.6.”
Dwarkesh Patel, Host, Dwarkesh PodcastPatel compares the first 2026 flagship model, Claude Opus 4.6, with OpenAI's newest model on the Clocktower benchmark of 368 games.
Found word for word in the sourceHear it at 3:07 ↗
“it's reasonable to assume that AIs have gotten much better at building and improving the RL environments that go into their training.”
Dwarkesh Patel, Host, Dwarkesh PodcastPatel draws a wider conclusion from AI models having built and repeatedly improved the game benchmark.
Found word for word in the sourceHear it at 14:25 ↗
“In all the games that I've run so far with current models, no AI has ever used this approach to work out who his teammates were.”
Dwarkesh Patel, Host, Dwarkesh PodcastOn whether AI teammates, being copies of one model, recognise each other by writing style.
Found word for word in the sourceHear it at 17:03 ↗
“most of the work, even most of the judgment work, was done by Claude.”
Dwarkesh Patel, Host, Dwarkesh PodcastPatel describes how the benchmark's rules were revised over more than 20 rounds.
Found word for word in the sourceHear it at 13:02 ↗starts inside a longer claim, right after “but”

How the finding was reached

In our words, from the source. Weigh the finding by how it was made.

What was done
A benchmark in which 368 games of Blood on the Clocktower were played with all-good teams being copies of one model and all-evil teams copies of another, using a programmatic storyteller; about $20,000 of API credits.
What it found
Patel reports about 430 Elo points between Claude Opus 4.6 and OpenAI's newest model, and says OpenAI's models gained 580 Elo points between GPT-5.4 and its newest, mainly from playing the good side better.
What it does not show
Patel says the mixed-team test (about 130 games) was not rigorous and not statistically significant, and that he did not test learning across games. A video by the author, not peer reviewed.
Status
A report

The record

Questions
Can AI systems act beyond what people intended or allowed? · How fast is AI advancing, and where is it heading?
People
Dwarkesh Patel (Speaks)
What we read
We read the whole source.
Found by
The Radar, run of November 6, 2026, via yt-dwarkesh-patel-youtube (tier 1: the source’s own channel or an official record)
Cite this
Dwarkesh Patel (YouTube), “Which AI is the best liar?”, November 5, 2026. Entry in the Ctrl AI Base, https://ctrlai.com/base/dwarkesh-patel-2026-11-05-which-ai-best-liar
Our notesEntry compares Anthropic's and OpenAI's models and says Claude did most of the design work; editor should review. Caption text says both 'Astro' and 'Astra' for the OpenAI model, so our text avoids its name. Slug may be adjusted.