Google πΊπΈ
DoomBench currently associates 68 models and 128 evidence assessments with Google. Company attribution is separate from each model's version-specific risk score.
- Tracked models
- 68
- Evidence items
- 128
- Toward-doom share
- 12.2%
- Net index pressure
- +7.30
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Models from Google
Availability distinguishes public artifacts, proprietary hosted access, internal systems, and profiles whose current source evidence remains inconclusive.
| Model | Availability | Released | Doom Score |
|---|---|---|---|
| Gemini 4 Argon | Closed | 30 Sept 2026 | 92.8 |
| Gemini 3.8 Flash | Closed | 02 Sept 2026 | 86.7 |
| Gemini 4 Carbon | Unknown | 28 Oct 2026 | 84.4 |
| Gemini 3.7 Flash | Closed | 13 Aug 2026 | 82.9 |
| Gemini 3 Pro | Closed | 18 Nov 2025 | 81.5 |
| Gemini 2.5 Pro | Open | 17 Jun 2025 | 81.4 |
| Gemini 3.5 Flash | Closed | 19 May 2026 | 80.9 |
| Gemini 3.1 Pro | Closed | 19 Feb 2026 | 80.7 |
| Gemini 2.5 Computer Use | Closed | 07 Oct 2025 | 79.7 |
| Gemini 3.8 Flash Cyber | Closed | 02 Sept 2026 | 79.7 |
| Gemini 2.5 Pro Preview 06-05 | Closed | 05 Jun 2025 | 79.1 |
| Gemini 3.6 Flash | Open | 21 Jul 2026 | 78.7 |
| Gemini 3 Flash | Closed | 17 Dec 2025 | 78.3 |
| Gemini 2.5 Pro Preview 05-06 | Closed | 06 May 2025 | 77.5 |
| Gemini 2.5 Pro Experimental | Closed | 25 Mar 2025 | 76.2 |
| Gemma 4 31B Dense | Open | 02 Apr 2026 | 75.0 |
| Gemini 2.5 Flash | Closed | 17 Jun 2025 | 73.9 |
| Gemma 4 26B MoE | Open | 02 Apr 2026 | 73.9 |
| Gemini 3 Deep Think | Closed | 12 Feb 2026 | 72.3 |
| Gemini 3.5 Flash Cyber | Closed | 21 Jul 2026 | 72.2 |
| Gemini Robotics ER 2 | Closed | 30 Jul 2026 | 71.3 |
| Gemini 3.5 Flash-Lite | Open | 21 Jul 2026 | 71.1 |
| Gemini 2.5 Flash Preview 04-17 | Closed | 17 Apr 2025 | 70.9 |
| Gemini 2.0 Pro Experimental | Closed | 05 Feb 2025 | 70.4 |
| Gemini 2.0 Flash | Open | 05 Feb 2025 | 70.2 |
| Gemini 2.0 Flash Experimental | Closed | 11 Dec 2024 | 67.4 |
| Gemini Robotics 1.5 | Closed | 25 Sept 2025 | 65.6 |
| Gemini Robotics On-Device | Closed | 24 Jun 2025 | 65.4 |
| Veo 3 | Closed | 20 May 2025 | 64.1 |
| Gemini Robotics 2 | Closed | 30 Jul 2026 | 63.6 |
| Gemini Robotics | Closed | 12 Mar 2025 | 62.7 |
| Gemma 4 E4B | Open | 02 Apr 2026 | 62.6 |
| Gemma 3 27B IT | Open | 12 Mar 2025 | 62.0 |
| Gemini 1.5 Pro-002 | Closed | 24 Sept 2024 | 61.2 |
| Gemini 2.5 Flash-Lite Preview 06-17 | Closed | 17 Jun 2025 | 61.2 |
| Gemini Robotics-ER | Closed | 12 Mar 2025 | 60.6 |
| Imagen 4 | Closed | 20 May 2025 | 60.4 |
| Gemini Robotics On-Device 2 | Closed | 30 Jul 2026 | 60.2 |
| Gemini 2.0 Flash-Lite | Closed | 05 Feb 2025 | 58.4 |
| Gemma 2 27B IT | Open | 27 Jun 2024 | 58.4 |
| Gemma 4 E2B | Open | 02 Apr 2026 | 57.2 |
| Gemma 3 12B IT | Open | 12 Mar 2025 | 57.1 |
| Gemma 3n | Open | 20 May 2025 | 55.7 |
| Gemini 1.5 Flash-002 | Closed | 24 Sept 2024 | 54.2 |
| Gemma 3 27B Base | Open | 12 Mar 2025 | 54.2 |
| Gemini 1.5 Pro | Closed | 15 Feb 2024 | 52.8 |
| Gemma 2 27B Base | Open | 27 Jun 2024 | 52.7 |
| Gemma 2 9B IT | Open | 27 Jun 2024 | 52.3 |
| Gemma 3 4B IT | Open | 12 Mar 2025 | 51.7 |
| Gemini 1.5 Flash | Open | 14 May 2024 | 51.0 |
| Gemma 3 12B Base | Open | 12 Mar 2025 | 50.6 |
| Gemini 1.0 Ultra | Closed | 08 Feb 2024 | 49.9 |
| Gemini 1.0 Pro | Closed | 06 Dec 2023 | 49.4 |
| Gemma 7B IT | Open | 21 Feb 2024 | 48.4 |
| Gemma 2 9B Base | Open | 27 Jun 2024 | 47.1 |
| Gemma 3 4B Base | Open | 12 Mar 2025 | 45.7 |
| PaLM 2 | Closed | 10 May 2023 | 45.6 |
| Veo 2 | Closed | 16 Dec 2024 | 45.3 |
| Gemma 7B Base | Open | 21 Feb 2024 | 44.4 |
| Gemma 3 1B IT | Open | 12 Mar 2025 | 44.3 |
| Gemma 2 2B IT | Open | 31 Jul 2024 | 41.9 |
| Gemma 2B IT | Open | 21 Feb 2024 | 41.4 |
| Gemma 3 1B Base | Open | 12 Mar 2025 | 39.4 |
| Gemma 2B Base | Open | 21 Feb 2024 | 38.1 |
| Gemma 2 2B Base | Open | 31 Jul 2024 | 37.6 |
| PaLM 540B | Internal | 05 Apr 2022 | 28.6 |
| Chinchilla 70B | Internal | 29 Mar 2022 | 27.6 |
| LaMDA 137B | Internal | 20 Jan 2022 | 21.4 |
Latest assessments involving Google
Google announces Gemini 4 Carbon for restricted cyber-defender rollout
Google announced Gemini 4 Carbon with stronger cyber benchmarks and reported multi-day engineering workflows. Initial access is planned for selected cyber defenders; broader access remains pending. Its claimed reductions in misalignment and prompt-injection success are bounded evaluations, not proof of general safety.
House committee leaders ask AI companies for rapid reporting of misalignment incidents
House Democratic committee leaders asked five frontier-AI companies for past incident information and future reporting within 48 hours, or 24 hours for specified critical-infrastructure incidents. These were congressional requests, not a newly enacted mandatory reporting law.
Nevada labor reporting shows AI substitution alongside data-center job gains
Reuters reports about 200 MGM call-center layoffs in 2025, attributed to a Nevada union official, alongside growing construction work at AI data centers. It also cites 80% of MGM guest interactions moving through AI or digital platforms. These mixed observations do not establish net job losses; projected hospitality losses by 2035 remain forecasts.
Google opens Gemini Robotics ER 2 public preview on its cloud platform
Gemini Robotics ER 2 became available in public preview through Google Cloud, extending access to its spatial reasoning, task verification and high-level orchestration of robot-control tools. The announcement does not establish unrestricted safe deployment or a new underlying model version.
Anthropic reports five prompted exploit chains across browsers and operating systems
Anthropic described an unnamed internal Claude research model producing exploit chains after human prompting for Chrome, Safari, Android, Windows and Linux. It reported coordinated fixes; Google's October 20 Chrome advisory independently credits Claude-assisted findings. These are controlled demonstrations, not a new autonomous escape.
Google Cloud starts private preview of OpenAI frontier models on its enterprise platform
Google Cloud began a select-customer private preview of GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna in Model Garden. Customers can access them through Google Cloud APIs and connected workflows. Zero Data Retention and Confidential Compute were described as coming later.
Google expands Gemini 4 Argon from restricted access to paid APIs and consumer plans
Google announced a broader Gemini 4 Argon rollout through the paid Gemini API, Ultra access in Antigravity and AI Studio, and Pro or Ultra consumer plans. The frontier model was previously limited to internal use and trusted defenders. Cyber access without guardrails remains separately vetted through Fairwind; the rollout announcement does not prove availability for every account.
Bengio urges safety-focused researchers to leave frontier labs for independent work
Yoshua Bengio argues that commercial frontier labs subordinate safety to competitive deployment incentives and urges safety-focused researchers to move to independent institutions. This is his dated argument and proposed response, not evidence that a mass departure occurred.
Google introduces persistent Gemini coworker agents with enterprise control boundaries
Google announced a universal enterprise agent that can run objectives for hours or days, create sub-agents and operate through dedicated coworker identities. The platform combines persistent memory and tool access with per-agent authorization, audit trails, sandboxing and a network-policy gateway.
Anthropic releases Haiku 5.5 with cheaper computer-use and coding agents
Anthropic released Claude Haiku 5.5 across its API, Amazon Web Services, Google Cloud and Microsoft Azure. It reports stronger computer-use and coding results than Haiku 4.5 and about 75% lower average task cost, after accounting for token usage. Broader inexpensive agent access is established; benchmark gains are provider-reported, not proof of job displacement.
Anthropic expands verified cyber access through three security tiers
Anthropic combined Glasswing and its Cyber Verification Program into three access tiers. Verified defenders can request advanced Claude models; offensive testing requires authorization and extra controls. Its controlled Opus 5.5 evaluation blocked 46 of 50 Defense trials, while Red Team access completed 34 without blocks. These are test results, not real-world attacks.
New York City Council hears AI companies and former staff on safety oversight
Representatives of OpenAI, Anthropic, Google and Meta testified at a New York City Council hearing examining AI risks and proposed oversight. Disclosure, independent review and whistleblower measures remained proposals, not enacted safeguards.
People related to Google
Current and former roles are source-backed navigation metadata. A company relationship never changes an evidence assessment or the Doom Index.
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Demis Hassabis π¬π§
Demis Hassabis is an AI researcher, co-founder of DeepMind and a leader at Google DeepMind whose public work spans general AI, scientific discovery and frontier-model governance.
- CEO, Google DeepMindcurrent Β· 2014 to presentSource
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Jeff Dean πΊπΈ
Computer scientist and research leader whose work covers large-scale machine learning, frontier capabilities, deployment, and responsible AI.
- Chief Scientistcurrent Β· 1999 to presentSource
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Rohin Shah πΊπΈ
Rohin Shah leads AGI Safety and Alignment at Google DeepMind and publishes research and first-person analysis on alignment, AI control, oversight, and frontier-model governance.
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Victoria Krakovna π¨π¦
AI-safety researcher whose work covers specification gaming, reward misspecification, agent incentives, and practical alignment methods.
- AI safety researchercurrent Β· Dates not establishedSource
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Beth Barnes πΊπΈ
Founder and CEO of METR, where she leads independent evaluations of frontier-model autonomy, misalignment, and catastrophic risk. She previously conducted alignment and safety research at OpenAI and Google DeepMind.
- DeepMind researcherformer Β· Dates not establishedSource
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Chris Olah π¨π¦
Anthropic co-founder and interpretability researcher whose work develops methods for identifying features and circuits inside neural networks, with a focus on using mechanistic understanding to assess and improve advanced-AI safety.
- Researcher, Google Brainformer Β· Dates not establishedSource
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Fei-Fei Li π¨π³
Computer scientist, Stanford professor and special adviser, and co-founder and CEO of World Labs, known for ImageNet, computer vision, spatial intelligence, and human-centered AI research and policy.
- Vice President and Chief Scientist of AI/ML, Google Cloudformer Β· From 2017Source
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Geoffrey Hinton π¬π§
Computer scientist whose public commentary covers deep learning, advanced-AI capability, and catastrophic-risk concerns.
- Google Fellow and research adviserformer Β· 2013 to 2023Source
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Ian Goodfellow πΊπΈ
Machine-learning researcher known for generative models and public technical work on robustness, security, and advanced-model behavior.
- Research scientistformer Β· 2017 to 2019Source

