FREQUENTLY ASKED QUESTIONS

Questions about this page

Short answers to common questions about the page, its evidence, and the limits of what DoomBench claims.

What is a Model Doom Score?

It is a version-specific profile across capability, autonomy, deployment, misuse potential, and control difficulty. It is not the overall Doom Index and it is not a probability of catastrophe.

Does a model score directly move the overall index?

No. Only accepted, dated evidence items move the overall index. A model release or evaluation matters there through its separately reviewed evidence assessment.

What do Open, Closed, Internal, and Unknown mean?

Open identifies publicly available artifacts such as weights or source materials, Closed identifies proprietary hosted access, Internal identifies systems not publicly released, and Unknown means the current sources do not support a confident classification.

Why can a model score be higher than the overall index?

The values answer different questions. A model score rates one technical profile, while the overall index aggregates the complete, time-weighted real-world evidence record.

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DoomBench social sharing card for AI Model Doom Scores.
  1. DoomBench compares 349 version-specific AI models across capability, autonomy, deployment, misuse potential, and control difficulty using transparent 0-to-100 profiles.

  2. A DoomBench model score describes the risk profile of one exact model version; it is separate from the news-driven Doom Index and is not a probability of catastrophe.

  3. Every model profile on DoomBench exposes its source, release date, availability, five component scores, editorial rationale, revision history, and related evidence.

    https://www.doombench.com/models