OpenAI πŸ‡ΊπŸ‡Έ Β· GPT

GPT-5

OpenAI's broadly deployed flagship reasoning and tool-use model, used by the Aardvark security agent during this window.

DOOM SCORE77.9out of 100model risk profile, not the overall index
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CURRENT ASSESSMENT Β· REVISION 5

Why this model scores 77.9

Frontier reasoning, coding, tool use, and universal ChatGPT distribution support high capability, autonomy, deployment, and misuse, while safeguards moderate control difficulty.

Capability84
Autonomy76
Deployment100
Misuse potential75
Control difficulty56
MODEL-ATTRIBUTED EVIDENCE

News tied to GPT-5

The model score of 77.9 rates this model's risk profile. The overall Doom Index of 67.9 measures the complete temporally weighted evidence record. These values answer different questions.

NET MODEL-ATTRIBUTED INDEX CONTRIBUTION-0.14

Each article's current Doom Index contribution is divided equally among the exact models named on that article. This prevents multi-model evidence from being claimed in full on several model pages. Model risk scores use a bounded temporal offset around their technical profile, but never feed back into the overall index.

Resilience AWAY

Toby Ord argues reinforcement-learning scaling is approaching an effective limit

Toby Ord analyzed public o1, o3, and GPT-5 performance curves and argued that reinforcement-learning scaling requires orders of magnitude more compute for continued gains and may be nearing an effective limit. He presented this as a quantitative constraint with important uncertainties, not as proof that frontier progress has stopped.

Full item contribution
-0.12
GPT-5 equal share
-0.06
Read assessment β†’
Safety TOWARD

NIST finds DeepSeek agents highly vulnerable to simulated hijacking

NIST's CAISI evaluated three DeepSeek models and four U.S. reference models on 19 benchmarks. In controlled AgentDojo simulations, agents using DeepSeek-R1-0528 were 12 times more likely than GPT-5 and Claude Opus 4 agents to follow malicious instructions, while the model complied with 94% of jailbreak requests versus 8% for U.S. references. The tests did not document a real-world escape or compromise.

Full item contribution
+0.23
GPT-5 equal share
+0.04
Read assessment β†’
AUDIT TRAIL

Model score history

  1. R5
    Doom Score 77.9

    Source-backed model availability audit using the model's existing primary or authoritative catalogue evidence. Exact-version evidence chronology replayed under temporal-monthly-pressure-v4.

    12 Aug 2026
  2. R4
    Doom Score 77.9

    Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-142416 under temporal-monthly-pressure-v4.

    12 Aug 2026
  3. R3
    Doom Score 73.8

    Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-132112 under fixed-sensitivity-v3.

    12 Aug 2026
  4. R2
    Doom Score 67.1

    Full-corpus evidence recalculated after run intensive-backfill-20260812-080357-august-2025-pass1 under bounded-corpus-v2.

    12 Aug 2026
  5. R1
    Doom Score 68.5

    New exact model needed for the accepted Aardvark relationship and absent from the durable catalogue.

    11 Aug 2026
SHARE THE FINDINGS

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DoomBench social sharing card for GPT-5.
  1. GPT-5 by OpenAI has a DoomBench model risk score of 77.9 out of 100, based on five transparent version-specific dimensions rather than the overall index.

  2. GPT-5's highest current DoomBench dimension is deployment at 100.0 out of 100; the profile publishes every component score and its editorial rationale.

  3. DoomBench links 8 source-backed evidence items to GPT-5, while keeping the model's risk profile separate from each item's contribution to the live Doom Index.

    https://www.doombench.com/models/openai-gpt-5