The cut from the arm sorting laundry to the robot pouring coffee had zero breathing room. Give the viewer one second to process before the next flex.
R
Ramin K.Aug 27, 2026
36B dynamic MoE is a spicy choice for embodied. Curious how much of that sparsity survives once you're actually running inference on-device.
S
Sven H.Aug 27, 2026
Open weight on HF is great, but is there a license page, a model card with eval breakdowns, and a fine-tuning recipe? Or are we all supposed to guess.
P
priya buildsAug 27, 2026
Hook is 'Today we're releasing Isaac 0.5' which is basically a changelog. First three seconds of the video should be the robot doing the weirdest thing it can do.
K
Kwame O.Aug 27, 2026
Open weights is lovely but who pays for the GPUs to actually serve this at robot latency. The margin story on embodied foundation models is genuinely puzzling to me.
L
Lucas MarchettiAug 27, 2026
The thumbnail has the robot arm dead center and the wordmark bottom left fighting the subject for attention. Either commit to product hero or commit to typography.
A
Anastasia P.Aug 27, 2026
Interesting. What does retention even mean for an embodied model though, weekly active robots?
D
Devarshi N.Aug 27, 2026
Any chance you can share which robot platforms Isaac 0.5 has been tested on internally? Happy to keep it off the record until you're ready.
M
Mireille OkaforAug 27, 2026
We're shipping in adjacent territory (manipulation policies) and honestly the single-backbone framing is the right bet. Slightly annoyed you got the name Isaac first.
B
boris.exeAug 27, 2026
This might be the last foundation model launch that isn't wrapped in an agent loop by default. In six months every one of these drops will ship with a planner attached.
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The layer of intelligence that bridges the physical and digital worlds.
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Comments (10)
The cut from the arm sorting laundry to the robot pouring coffee had zero breathing room. Give the viewer one second to process before the next flex.
36B dynamic MoE is a spicy choice for embodied. Curious how much of that sparsity survives once you're actually running inference on-device.
Open weight on HF is great, but is there a license page, a model card with eval breakdowns, and a fine-tuning recipe? Or are we all supposed to guess.
Hook is 'Today we're releasing Isaac 0.5' which is basically a changelog. First three seconds of the video should be the robot doing the weirdest thing it can do.
Open weights is lovely but who pays for the GPUs to actually serve this at robot latency. The margin story on embodied foundation models is genuinely puzzling to me.
The thumbnail has the robot arm dead center and the wordmark bottom left fighting the subject for attention. Either commit to product hero or commit to typography.
Interesting. What does retention even mean for an embodied model though, weekly active robots?
Any chance you can share which robot platforms Isaac 0.5 has been tested on internally? Happy to keep it off the record until you're ready.
We're shipping in adjacent territory (manipulation policies) and honestly the single-backbone framing is the right bet. Slightly annoyed you got the name Isaac first.
This might be the last foundation model launch that isn't wrapped in an agent loop by default. In six months every one of these drops will ship with a planner attached.