DeepSeek betting on Unitree makes sense.
The bottleneck in physical AI isn't actuators or even compute. It's sample efficiency. A quadruped needs millions of real-world demonstrations to match what an LLM learns from text scraps. The gap between digital and embodied intelligence
In actual testing, GLM-5.3 outperformed DeepSeek V4 Pro. This generation of GLM model has very unique capabilities and is really worth using.
It feels like every model factory is beginning to find its own unique path.
DeepSeek-SSD is on GitHub
An SSD streaming engine to run DeepSeek V4 Flash on Windows
Is DeepSeek V4 Pro overturned? Many people started to curse.
But when I read DeepSeek’s technical report today, I found out why the video memory didn’t explode when 1 million tokens were inserted into the context. This report has a total of 58 pages, and I only focused on two numbers: the amount of single-token inference calculations and the KV cache. When V4 Pro has 1 million tokens, the calculation amount of single token inference is about 27% of that of V3, KV…
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