On 2026-11-05 Dwarkesh Patel released Clocktower Bench: ~$20k API for 386 social-deception games, open harness. Author board: GPT-6 Astra Elo 1859, ~82% win rate vs Opus 5.5.

Key Takeaways

  • ✓Author: Dwarkesh Patel (@dwarkesh_sp) on 2026-11-05; clocktowerbench.com + Substack
  • ✓Scale: ~$20k API, 386 rated games
  • ✓Top: GPT-6 Astra Elo 1859; ~82% win rate vs Opus 5.5; ~+430 Elo vs Opus 4.6
  • ✓Open source: github.com/dwarkeshsp/clocktower; HF dwarkesh/clocktower-games; human play
  • ✓Social-deception eval is not a general IQ board; script/role variance applies
Dwarkesh Ships Clocktower Bench: 386 Blood on the Clocktower Games; GPT-6 Astra Elo 1859, ~82% Win Rate vs Opus 5.5
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In-Depth Technical Analysis

Core Background & Industry Pain Points

Public boards mostly reward correct answers, not social deception or multi-agent scheming. On 2026-11-05 Dwarkesh Patel released Clocktower Bench: models play Blood on the Clocktower, with an open harness and a human-playable site.

Architecture Highlights & Internals

One model takes all good seats, another the Demon’s team, then sides swap; a Bradley–Terry fit yields combined/detection/deception Elo. Programmatic Storyteller; private whispers and belief probes. Code and HF dataset are public; the site hosts replays and human-vs-AI play.

Authoritative Benchmarks & Measured Scores

Author figures: ~$20k API, 386 rated games. GPT-6 Astra combined Elo 1859; ~82% win rate vs Opus 5.5 (1549); ~+430 Elo vs Opus 4.6. OpenAI’s edge is mostly detection. Not a SWE-style board.

Developer Hands-on Guide

Essay: dwarkesh.com/p/clocktower; leaderboard/Play: clocktowerbench.com. Local runs need API keys. Useful for multi-agent coordination—not a general IQ total.

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