SenseNova

Headlines · 2

1. 1d
   SenseNova unveils Loop-9B-Preview multimodal model

   SenseNova model documentation reposted by r/LocalLLaMA presents SenseNova-Loop-9B-Preview as a 9B multimodal language model for long-context and agentic workflows. It accepts text and images and generates text for document understanding, coding, and external-tool interaction, using a looped decoder, two-stream manifold-constrained hyper-connections, hybrid attention, and training recipes reaching 262,144 tokens. The model documentation says 24 decoder layers are applied twice, producing 56 layer executions from 32 distinct layers.

   r/LocalLLaMA · 🔥 2
2. Oct 19
   SenseTime study: GPT-6 Astra aces simulated embodied tests, stumbles on real robots

   A SenseTime SenseNova team, with Daxiao Robotics, Ropedia, NTU and the University of Tokyo, published "Has GPT-6-Astra Achieved Embodied Intelligence?", a systematic evaluation of OpenAI's GPT-6 Astra across 12 simulated benchmarks and 8 real robot platforms. With in-context learning and up to a 10x action-step budget, the model scored 100% on LIBERO-Long++, 99.3% on LIBERO-Pro, 98.8% on SIMPLE and lifted RoboDojo from 27.6% to 81.9%, but reached only 37.0% on the long-horizon BEHAVIOR benchmark and 28.9% on LHPR-VLN navigation. On real hardware it succeeded 17 of 18 times at rigid pick-and-place, yet failed all 11 plug-insertion attempts across three platforms; placing a pen in a holder took over four hours and cost $55, and in a cooking task it decided an egg was done but turned off the stove about 90 seconds later, burning it. The report concludes GPT-6 Astra has largely crossed the embodied-intelligence threshold but remains far from practical deployment, and presents SenseNova-RoboRSI, a harness that improves from execution feedback without updating model weights.

   36氪 人工智能 · 🔥 0

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