sjdv1982

I played that game!! Although I was 10 years old and barely knew any English. After some playing, I always got a "go home" note on my windshield, I never found out why.

I was dragging to rotate it before I realized that it was 2D...

Are there really two principal components or is that primarily your choice of visualization?

At some point, OpenAI is going to cheat and hardcode a pelican on a bicycle into the model. 3D modelling has Suzanne and the teapot; LLMs will have the pelican.

I don't know. Somewhere in the eighties, people started to complain that no one could understand all the assembly anymore.

What if kontext runs under the same user as Claude? Could it in principle inspect the kontext process and extract the key from memory?

Could you apply this to speed up cherrypy?

How does your reply relate to my comment?

No, more like letting an agent interact safely with an HPC frontend. No cloud, no Windows

I wanted to ask almost this question, then saw that it is on #1 right now.

My use case is ssh. I would like to stick my private key into a local Docker container, have a ssh-identical cli that reverse proxies into the container, and have some rules about what ssh commands the container may proxy or not.

Does anyone know of something like this?

...and then your AI deleted the repo? It gives a 404

I am sorry, I am not a real computer scientist and I find it difficult to find the right term. With "sufficiently expressive", I mean things like dependent types and refinement types, that can express the constraint on a unit vector.

It seems to me that this is more or less the same thing, but Monte Carlo. Like MCMC vs symbolic Bayesian inference.

Zugzwang!