Home Evidence SOURCE-BACKED · REVISION-AWARE Evidence ledger Every included story has a verified publication date, explicit source, company and model attribution, plus a qualitative judgment that can be revised as the evidence changes.
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5 Code Llama 34B Code Llama 70B Code Llama 70B Instruct Code Llama 70B Python code-davinci-002 codex-1 Codex-12B Command A 03-2025 Command A+ Command R7B 12-2024 DALL-E 2 DALL-E 3 DeepSeek-Coder-V2-Base DeepSeek-Coder-V2-Instruct DeepSeek-Coder-V2-Lite-Base DeepSeek-Coder-V2-Lite-Instruct DeepSeek-R1 DeepSeek-V3 DeepSeek-V3.1 DeepSeek-V3.2 DeepSeek-V3.2-Speciale DeepSeek-V4-Flash DeepSeek-V4-Pro Defense Llama Devstral Small 2505 Dolly 2.0 12B ERNIE 3.0 Titan ERNIE 4.0 ERNIE 5.0 FLUX.1 [dev] FLUX.1 [pro] FLUX.1 [schnell] Gemini 1.0 Pro Gemini 1.0 Ultra Gemini 1.5 Flash Gemini 1.5 Flash-002 Gemini 1.5 Pro Gemini 1.5 Pro-002 Gemini 2.0 Flash Gemini 2.0 Flash Experimental Gemini 2.0 Flash-Lite Gemini 2.0 Pro Experimental Gemini 2.5 Flash Gemini 2.5 Flash Preview 04-17 Gemini 2.5 Flash-Lite Preview 06-17 Gemini 2.5 Pro Gemini 2.5 Pro Experimental Gemini 2.5 Pro Preview 05-06 Gemini 2.5 Pro Preview 06-05 Gemini 3 Deep Think Gemini 3 Flash Gemini 3 Pro Gemini 3.1 Pro Gemini 3.5 Flash Gemini 3.5 Flash Cyber Gemini 3.5 Flash-Lite Gemini 3.6 Flash Gemini Robotics Gemini Robotics 1.5 Gemini Robotics 2 Gemini Robotics ER 2 Gemini Robotics On-Device Gemini Robotics On-Device 2 Gemini Robotics-ER Gemma 2 27B Base Gemma 2 27B IT Gemma 2 2B Base Gemma 2 2B IT Gemma 2 9B Base Gemma 2 9B IT Gemma 2B Base Gemma 2B IT Gemma 3 12B Base Gemma 3 12B IT Gemma 3 1B Base Gemma 3 1B IT Gemma 3 27B Base Gemma 3 27B IT Gemma 3 4B Base Gemma 3 4B IT Gemma 3n Gemma 4 26B MoE Gemma 4 31B Dense Gemma 4 E2B Gemma 4 E4B Gemma 7B Base Gemma 7B IT GLM-4.5 GLM-4.5-Air GLM-4.6V GLM-4.7 GLM-5.1 GLM-5.2 GPT-3 175B GPT-3.5 Turbo-0613 GPT-4 GPT-4 Turbo 1106 Preview gpt-4-0125-preview GPT-4-0613 GPT-4-32k-0613 GPT-4.1 GPT-4.1 mini GPT-4.1 nano GPT-4.5 Preview GPT-4o GPT-4o 2024-08-06 GPT-4o mini 2024-07-18 GPT-4o Realtime Preview 2024-10-01 GPT-5 GPT-5.1 Instant GPT-5.1 Thinking GPT-5.1-Codex-Max GPT-5.2 Instant GPT-5.2 Pro GPT-5.2 Thinking GPT-5.2-Codex GPT-5.3-Codex GPT-5.4 mini GPT-5.4 nano GPT-5.4 Pro GPT-5.4 Thinking GPT-5.5 GPT-5.5 Pro GPT-5.5-Cyber GPT-5.6 Luna GPT-5.6 Sol GPT-5.6 Terra GPT-5.6-Cyber GPT-NeoX-20B gpt-oss-120b gpt-oss-20b gpt-oss-safeguard-120b gpt-oss-safeguard-20b GPT-realtime GPT-Red Grok 3 Grok 3 mini Grok 4 Grok 4 Heavy Grok 4.1 Fast Grok 4.5 Grok 4.6 Grok-1 Grok-2 Grok-2 1212 Grok-2 mini Grok-2 Vision 1212 Imagen 4 Inflection-1 Isaac GR00T N1 Jurassic-1 Jumbo Kimi K2 Base Kimi K2 Instruct Kimi K2 Thinking Kimi K2 Thinking Turbo Kimi K2.5 Kimi K3 LaMDA 137B Llama 2 13B Base Llama 2 13B Chat Llama 2 70B Base Llama 2 70B Chat Llama 2 7B Base Llama 2 7B Chat Llama 3 70B Base Llama 3 70B Instruct Llama 3 8B Base Llama 3 8B Instruct Llama 3.1 405B Base Llama 3.1 405B Instruct Llama 3.1 70B Base Llama 3.1 70B Instruct Llama 3.1 8B Base Llama 3.1 8B Instruct Llama 3.2 11B Vision Base Llama 3.2 11B Vision Instruct Llama 3.2 1B Base Llama 3.2 1B Instruct Llama 3.2 3B Base Llama 3.2 3B Instruct Llama 3.2 90B Vision Base Llama 3.2 90B Vision Instruct Llama 3.3 70B Instruct Llama 4 Maverick Llama 4 Scout LLaMA 7B M2.5-Lightning Magistral Medium 2506 Magistral Small 2506 Midjourney V1 Video Model MiniMax-M2 MiniMax-M2.1 MiniMax-M2.5 Mistral 7B 0.1 Base Mistral 7B 0.1 Instruct Mistral Large 1.0 Mistral Large 2 24.07 Mistral Large 3 Mistral Medium 3 Mistral Medium 3.5 Mistral NeMo 12B Base Mistral NeMo 12B Instruct Mistral OCR 2503 Mistral Small 1.0 Mistral Small 3.1 2503 Mistral Small 3.2 Mistral Small 4 Mixtral 8x7B Instruct v0.1 Mixtral 8x7B v0.1 Muse Glimmer 30B Muse Spark 1.1 Nemotron 3.5 Lightning Nemotron-4 340B Base Nemotron-4 340B Instruct Nemotron-4 340B Reward NVIDIA Megatron 530B NVIDIA Nemotron 3 Nano 30B A3B o1-mini 2024-09-12 o1-preview 2024-09-12 OpenAI o1 2024-12-05 OpenAI o1 2024-12-17 OpenAI o3 OpenAI o3-mini OpenAI o3-pro OpenAI o4-mini OPT-175B PaLM 2 PaLM 540B PanGu-alpha 200B Phi-3 Mini 128K Instruct Phi-3 Mini 4K Instruct Phi-4 QVQ-72B-Preview Qwen-72B Qwen-72B-Chat Qwen-7B Qwen-7B-Chat Qwen-Image Qwen2 0.5B Base Qwen2 0.5B Instruct Qwen2 1.5B Base Qwen2 1.5B Instruct Qwen2 57B-A14B Base Qwen2 57B-A14B Instruct Qwen2 72B Base Qwen2 72B Instruct Qwen2 7B Base Qwen2 7B Instruct Qwen2-Audio-7B Qwen2-Audio-7B-Instruct Qwen2-VL-2B-Instruct Qwen2-VL-72B-Instruct Qwen2-VL-7B-Instruct Qwen2.5-72B-Instruct Qwen2.5-Max Qwen2.5-Omni-7B Qwen2.5-VL-72B-Instruct Qwen3-1.7B Qwen3-14B Qwen3-235B-A22B Qwen3-30B-A3B Qwen3-32B Qwen3-4B Qwen3-8B Qwen3-Coder-480B-A35B-Instruct Qwen3-Max-Thinking Qwen3.8-Max Shieldstral 1.0 3B Sora Turbo StableLM-Base-Alpha-3B StableLM-Base-Alpha-7B Turing-NLG 17B Veo 2 Veo 3 Waymo Driver 4th generation Waymo Driver 5th generation WebGPT 175B Person All people Andrej Karpathy Andrew Ng Beth Barnes Connor Leahy Dan Hendrycks Dario Amodei Demis Hassabis Eliezer Yudkowsky Elon Musk Fei-Fei Li Gary Marcus Geoffrey Hinton Ian Goodfellow Ilya Sutskever Jan Leike Marc Andreessen Nate Soares Nick Bostrom Oren Etzioni Paul Christiano Rohin Shah
2 of 825 assessed items
02 Jun 2026 Resilience ↓ AWAY 28
Rohin Shah argues that reinforcement learning over week- or month-scale trajectories more naturally produces short-horizon reward hacking than ambitious world-takeover goals. He treats catastrophic misalignment as plausible but not the default, while warning that current alignment results do not resolve future superhuman-oversight failures.
09 Jun 2023 Governance ↑ TOWARD 20
Rohin Shah supports enforceable global slowing, but identifies a countervailing mechanism: hardware, algorithms, and investment could keep advancing during a training pause while safety researchers lose access to intermediate models. A poorly designed pause could therefore reduce capabilities-adjusted safety time without proportionally delaying dangerous systems.