Perceptron Releases Isaac 0.5 Open-Weight Embodied Model
Tech commentator and robotics engineer highlight the 36B parameter dynamic MoE release for robotics applications.
Perceptron AI posted the release of Isaac 0.5, a 36B dynamic MoE embodied foundation model that combines multimodal video understanding, embodied reasoning, and robot control in one sparse backbone. Tech commentator Robert Scoble retweeted the announcement. Robotics engineer Lex Roller quoted it, saying open robotics models like this move general-purpose systems from demos to deployable tools, with rapid progress. Chris Paxton also retweeted.
Today we're releasing Isaac 0.5: 36B dynamic MoE, open weight 🤗 embodied foundation model. Isaac combines multimodal video understanding, embodied reasoning and robot control into a single, sparse backbone.
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3 postsPA 
Perceptron AI@perceptronincToday we're releasing Isaac 0.5: 36B dynamic MoE, open weight 🤗 embodied foundation model. Isaac combines multimodal video understanding, embodied reasoning and robot control into a single, sparse backbone.
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- bookmarks: 408
- reposts: 81
LR Lex Roller@lexroller12My prayers for more open robotics models have been answered. Isaac 0.5 is pushing general-purpose robotics from research demos toward something we can actually deploy. Things are moving ridiculously fast.
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PA Perceptron AI@perceptronincToday we're releasing Isaac 0.5: 36B dynamic MoE, open weight 🤗 embodied foundation model. Isaac combines multimodal video understanding, embodied reasoning and robot control into a single, sparse backbone.
- likes: 592
- replies: 25
- bookmarks: 408
- reposts: 81