Lab system cards and frameworks · System card · OpenAI
GPT-5.4 Thinking System Card
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Outline · 300 paragraphs
- GPT-5.4 Thinking System Card¶2
- 1. Introduction¶3
- 2. Model Data and Training¶6
- 3. Baseline Model Safety Evaluations¶11
- 3.1 Disallowed Content Evaluations with Challenging Prompts¶12
- Table 1: Production Benchmarks with Challenging Prompts (higher is better)¶16
- Table 2: Dynamic Benchmarks with Adversarial User Simulations¶18
- 3.2 Production Benchmarks with Representative Prompts¶22
- Table 3: Disallowed Content Evaluations with Representative Prompts (higher is better)¶28
- Figure 1¶30
- 3.3 Jailbreaks¶33
- Figure 2¶37
- 3.4 Prompt injection¶39
- Table 4: Prompt injection evaluations¶41
- 3.5 Vision¶43
- Table 5: Image input evaluations, with metric not_unsafe (higher is better)¶45
- 3.6 Health¶47
- Table 6: Health evaluations¶50
- 3.7 Avoid Accidental Data-Destructive Actions¶54
- Table 7: Destructive action avoidance¶56
- Table 8¶58
- 3.8 User Confirmations During Computer Use¶59
- Table 9¶66
- 3.9 Bias¶67
- Table 10: First-person fairness evaluation (lower is better)¶71
- 4. Chain of Thought Evaluations¶72
- 4.1 CoT Monitorability¶74
- Figure 3¶81
- Figure 4¶83
- Figure 5¶85
- Figure 6¶87
- 4.2 CoT Controllability¶89
- Figure 7¶93
- 5. Preparedness Framework¶95
- 5.1 Capabilities Assessment¶99
- 5.1.1 Biological and Chemical¶101
- Table 11: Overview of Biological and Chemical evaluations¶104
- 5.1.1.1 Multi-select Multimodal Troubleshooting Virology¶106
- Figure 8¶108
- 5.1.1.2 ProtocolQA Open-Ended¶111
- Figure 9¶113
- 5.1.1.3 Tacit Knowledge and Troubleshooting¶116
- Figure 10¶120
- 5.1.1.4 TroubleshootingBench¶123
- Figure 11¶127
- 5.1.2 Cybersecurity¶130
- Table 12: Vulnerability Identification and Exploitation Capabilities evaluations¶139
- 5.1.2.1 Capture the Flag (CTF) Challenges¶146
- Figure 12¶157
- 5.1.2.2 CVE-Bench¶159
- Figure 13¶162
- 5.1.2.3 Cyber range¶165
- Table 13: Cyber Range¶168
- Figure 14¶176
- 5.1.2.4 External Evaluations for Cyber Capabilities¶179
- 5.1.3 AI Self-Improvement¶188
- Table 14: Overview of AI Self-Improvement evaluations¶190
- 5.1.3.1 Monorepo-Bench¶192
- Figure 15¶198
- 5.1.3.2 MLE-Bench¶201
- Figure 16¶203
- 5.1.3.3 OPQA¶206
- Figure 17¶208
- 5.2 Research Category Update: Sandbagging¶211
- 5.3 Cyber Safeguards¶218
- 5.3.1 Threat Model and Scenarios¶226
- 5.3.2 Cyber Threat Taxonomy¶228
- 5.3.3 Model Safety Training¶234
- Table 15¶237
- 5.3.4 Conversation monitor¶240
- 5.3.5 Actor Level Enforcement¶244
- 5.3.6 Trust-based access¶250
- 5.3.7 Security Controls¶252
- 5.3.8 Misalignment risks and internal deployment¶254
- 6. Appendix: GPT-5.4 mini¶256
- 6.1 Disallowed Content¶258
- Table 16: Production Benchmarks with Challenging Prompts (higher is better)¶259
- Table 17: Dynamic Benchmarks with Adversarial User Simulations (higher is better)¶260
- 6.2 GPT-5.4 mini CoT controllability results¶261
- Figure 18¶263
- 6.3 Preparedness Framework¶265
- 6.3.1 Biological and Chemical¶267
- Table 18¶276
- 6.3.2 Cybersecurity¶279
- Table 19¶280
- 6.3.3 AI Self Improvement¶282
- Table 20¶283
- 7. References¶285