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DeepMind unveils Gemini Robotics 2.5 and ASIMOV-Jailbreak safety benchmark

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According to Ars Technica, Google DeepMind revealed Gemini Robotics 2.5, a vision-language-action model it says boosts task success 30-100% and speed 20-30% over the prior version in lab tests. Gemini-powered Apptronik Apollo 2 robots kitted automotive parts in European Mercedes-Benz factories with a 96% success rate. DeepMind also released ASIMOV-Jailbreak, an open-source benchmark of 1,500 prompts designed to test whether robotic AI refuses unsafe instructions.

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arstechnica.com · Read the original source ↗

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