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Nvidia NemoClaw

https://github.com/NVIDIA/NemoClaw
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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

Secure installation isn't the main problem with OpenClaw. This project doesn't seem to be solving a real problem. Of course the real problem is giving an LLM access to everything and hoping for the best.
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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).
Sometimes experience (or more so the wisdom you've accumulated over a long career) creates mental blocks / preconceptions about risks or problems you foresee, which makes it harder to approach big scary problems if you're able to anticipate all of the challenges you're likely to hit.

Compare that to a smart engineer who doesn't have that wisdom: those people might have an easier time jumping in to difficult problems without the mental burden of knowing all of the problems upfront.

The most meaningful technical advances I've personally seen always started out as "let's just do it, it will only take a weekend" and then 2 years later, you find yourself with a finished product. (If you knew it would take 2 years from the start, you might have never bothered)

Naivety isn't always a bad thing.

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There are four "people" that contributes (https://github.com/NVIDIA/NemoClaw/graphs/contributors) judging by the git commits and the GitHub authors, none of them seem to be novices at programming, what made you write what you wrote here?
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A lot of senior engineering problems aren't gated by experience but by being trusted to coordinate large numbers of juniors.

Now that as a junior, I can spin up a team of AIs and delegate, I can tackle a bunch of senior level tasks if I'm good at coordination.

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Neurons that fire together, wire together. Your brain optimizes for your environment over time. As we get older, our brains are running in a more optimized way than when we're younger. That's why older hunters are more effective than younger hunters. They're finely tuned for their environment. It's an evolutionary advantage. But it also means that they're not firing in "novel" ways as much as the "kids". "kids" are more creative I think because their brains are still adopting, exploring novelty, neuron connections aren't as deeply tied together yet.

This is also maybe one of the biggest pitfalls as our society get's "older" with more old people, and less "kids". We need kids to force us to do things differently.

> It’s impressive someone early in their career shipped this.

Hang on, what's impressive about this?

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What is impressive about this project? It seems to be similar to other projects in that space.
Should be obvious that its tools like Claude Code. If you are a junior dev not experienced in delivering entire products but with good ideas you have incredible leverage now...
because the floor is fucking insane for junior developers right now!!
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what about just using an unprivileged container and mounting a host folder to run open claw?
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