A zero on deception-bench is a red flag, not a clean bill of health
MoonL88537 · x · 2026-09-04
MoonL88537 points out that scoring 0 on deception-bench is bad, not good: a zero likely means the benchmark failed to probe anything, so "you are no longer measuring anything and the test is useless." A reminder to read benchmark scores against the test's mechanism rather than assuming lower is safer.
Related event: Zero Score on Deception-Bench Signals Broken Benchmark, Not Honest Models(2 posts)→
More from Models
- LFM2-350M NVFP4A16 hits 1.7M tok/s decode on a single RTX 5090 — AlpinDale · 2026-09-04
- A brief history of modern open source AI, from a Hugging Face early investor — Borthwick · 2026-09-04
- Hugging Face claims 18 million people use its open-weights models — flowersslop · 2026-09-04
- Google AI Pro at $5/mo vs GPT Plus vs OpenCode Go: a coder's comparison — Old-Dish-7104 · 2026-09-04
- Community ranks 109 AI models by adjusted SEAL scores from Scale Labs — Hrstar1 · 2026-09-04
- GPT-6 Astra Sets Epoch ECI Record but Matches GPT-5.6 on AA Index, Sparking Benchmark Doubts — scaling01 · 2026-09-04