MHS

Headlines · 2

1. 5d
   AI Agents Enter Automated Wet-Lab Workflows

   Frontier AI companies are extending AI beyond molecular design and screening by connecting research agents with automated wet laboratories. The report says Anthropic proposed the MHS hardware standard to give agents unified access to instruments, while Google introduced VERID, a framework for tracking laboratory states and operation histories. It also reports that Google’s agents completed three design-test-analysis cycles for an adapter-design experiment. OpenAI and Ginkgo Bioworks reportedly ran six cycles involving more than 36,000 reaction combinations and reduced cell-free protein-synthesis costs by about 40%. These demonstrations are described by the report as early closed-loop systems, with data interoperability and reliable laboratory-state modeling still key challenges.

   虎嗅 AI · 🔥 0
2. Oct 21
   Agnes AI demos self-evolving agents: Honor of Kings team and test-time-training robot arm

   At the 2026 Physical AI and World Models conference in Nanjing, Agnes AI (爱思科技) livestreamed a 5v5 Honor of Kings match in which an AI coach rewrote the team's tactical playbook after each game, lifting its win rate against built-in bots from 0% to 100% over five revisions, according to the company's booth demo reported by 新智元. No model parameters were trained in that experiment; the coach, described as the forthcoming Agnes 3.0 Pro, only edited prompts, action choices and code, with each version required to pass researcher-set tests before play. A separate demo showed a Franka Panda arm in MuJoCo simulation updating its own weights during work via Agnes Embed TTT, raising task success from roughly 30% to about 90% while cutting iteration time to as little as 30 minutes to an hour. Agnes frames both routes as part of its open-source Agnes Harness agent infrastructure and its "万物共脑" (one brain for everything) pitch, and says a version of the harness also coordinated simulated Mars-base devices and booth robots.

   新智元 · 🔥 0

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