Nvidia NemoClaw

Am I missing something? Why is everyone talking about sandboxes when it comes to OpenClaw?

To me it's like giving your dog a stack of important documents, then being worried he might eat them, so you put the dog in a crate, together with the documents.

I thought the whole problem with that idea was that in order for the agent to be useful, you have to connect it to your calendar, your e-mail provider and other services so it can do stuff on your behalf, but also creating chaos and destruction.

And now, what, having inference done by Nvidia directly makes it better? Does their hardware prevent an AI from deleting all my emails?

I found this part interesting: "Inference requests from the agent never leave the sandbox directly. OpenShell intercepts every call and routes it to the NVIDIA cloud provider."

Seems like they are doing this to become the default compute provider for the easiest way to set up OpenClaw. If it works out, it could drive a decent amount of consumer inference revenue their way

I think nanoclaw is architecturaly much better suited to solve this problem.

If you look at the commit history, they started work on this the Saturday before announcement, so about 2 days. There are references to design docs so it was in the works for some amount of time, but the implementation was from scratch (unless they falsified the timestamps for some reason).

Check out https://zo.computer - we've been doing OpenClaw for nearly a year, it works out of the box, and has hosting built-in. Zo arguably was the inspiration for Peter to create OpenClaw.

It’s impressive someone early in their career shipped this. There seems to be a stark increase in high-quality AI/data projects from early-career engineers lately and I'm super curious what’s driving that (and honestly speaking: a little jealous).

counterpoint: this assumes everyone has the same constraints. not always true

what about just using an unprivileged container and mounting a host folder to run open claw?

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