Any views on how Isaac Lab / Isaac Sim would perform on DGX Spark?

I’ve been thinking the same… I have jetson Thor and only difference I can imagine is the capability to connect two DGX sparks together… but then I’d rather go for RTX pro 6000 instead of buying two DGX spark units, because I prefer the higher memory bandwidth, more Cuda cores, tensor cores and RT cores over 256 GB memory for my use case.

Opportunity for AI agents to deep dive into all the options and provide user friendly view?

What I took away from the article was that being good at code review makes the person better at guiding the agent to do the job, giving the right context and constraints at the right time… and not that the code reviewer has to fix whatever agent generated… this is also pretty close to my personal experience… LLM models are a bull which can be guided and definitely not a complete idiot…

In a strange kind of analogy, flowing water can cause a lot of damage.. but a dam built to the right specification and turbines can harness that for something very useful… the art is to learn how to build that dam

they are becoming available on arrow in limited quantities. I just ordered mine arriving this week

Reminded me of the red cube in NYC https://publicdelivery.org/isamu-noguchi-red-cube/

raises

You’ll like stacks.co

In VS code, .py file can work like a notebook. VS Code treats #%% as start of a cell, while being a plain comment when running the it as .py file. VS code can also convert an existing jupyter notebook to .py with this format

Does anybody use the Jndi lookup feature at the root of this vulnerability? I wonder if it was a feature bloat