Dream API

Headlines · 3

1. 2d
   Embodied AI APIs Move Models Beyond Launch Videos

   GeekPark reports that Physical Intelligence opened a model API test, Dream Labs launched Dream API with duration-based inference billing and fine-tuning, and Dexmal expanded Dexmal MaaS with an integrated workflow for data upload, training, deployment, and improvement from real-robot failures. These services let developers connect their own robots, adapt models to specific tasks, and test cloud inference on real-world workloads. The report says cross-embodiment adaptation remains limited by hardware, kinematics, control systems, and tasks, while reliable customer-task completion still requires adaptation and field validation.

   极客公园 · 🔥 0
2. 6d
   Embodied AI MaaS shifts robot models to cloud-based post-training

   新智元 reports that 原力灵机 upgraded its embodied-intelligence MaaS service to support SFT, DAgger and RECAP post-training in one platform. It says the service lets developers upload demonstration data, train models, deploy inference and adapt models to different robot bodies without building their own training infrastructure. The report also relays IDC figures for China’s MaaS market and vendor claims about deployment success rates, but it does not provide the underlying reports or independent validation.

   新智元 · 🔥 0
3. Oct 19
   Dream Labs Launches Dream-1 Robot Model and Public Dream API

   Dream Labs launched Dream-1, a robot foundation model trained on human videos, and made it available globally through the public Dream API. The company says Dream-1 can control compatible bimanual robots without robot-specific fine-tuning or demonstrations. Dream Labs reported zero-shot performance on 27 unseen robots in simulation and four real robots, though the supplied reports do not independently verify the results. Dream Labs also raised a $90 million seed round led by B Capital and Kindred Ventures. The main Dream API model was launched at $3 per hour.

   iThome 台湾 · 🔥 0

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