Qwen3.8-max

Headlines · 2

1. 3d
   Reflection AI debuts Beam, its first open-weight model

   Reflection AI, a 2024 startup founded by two former Google DeepMind researchers and backed by Nvidia, unveiled Beam, a text-only mixture-of-experts model with 501 billion total parameters and 23 billion active, pretrained on 23.8 trillion tokens with a 1 million token context window and aimed at reasoning, coding and agentic work. The company says Beam reaches performance close to Z.ai's GLM-5.2 using roughly one-third to one-quarter of the inference compute, and approaches Qwen3.8-Max, though its own published scores still trail newer Chinese open models such as GLM-5.3, Kimi K3 and DeepSeek V4.1 Flash. Reflection says the weights, a technical report and developer tooling are due this month.

   IT之家 AI · 🔥 5
2. 4d
   VA-Bench Finds a Gap Between Spatial Understanding and Robot Execution

   The VA-Bench paper evaluates 12 multimodal models in closed-loop robot tasks spanning observation, reasoning, action, and revision. The source reports that leading models achieved near-perfect target localization and action-semantic scores, but complete-task success remained around half, with online correction, fine-grained control, active perception, and bimanual coordination as major weaknesses.

   机器之心 · 🔥 0

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