anton5mith2

4 ms·

1.
Teaching robots mortal kombat moves [video](youtube.com)
3 points by anton5mith2 22d ago|0 comments
2.
Lazy Level 9000 – using MCP during development(iamthecloud.substack.com)
2 points by anton5mith2 1y ago|0 comments
3.
by anton5mith2 3y ago
Right! I starred this awhile back, it’s the really hard way imo, really great for learning: https://github.com/ghik/kubernetes-the-harder-way
4.
by anton5mith2 3y ago
https://mudler.pm/posts/smart-slackbot-for-teams/ with LocalAI?
5.
by anton5mith2 3y ago
For now it is CPU only yes, uses AVX instructions. But it's pretty fast anyway, try it out. I have it running on my mbp M1 and it's pretty decent. I think GPU support will come eventually. I wrote an app that uses the openai API a
6.
by anton5mith2 3y ago
Could use LocalAI to get around this: “The openAI models perform better (but require you to have an openAI API key, so cannot be used for free);” https://www.reddit.com/r/selfhosted/comments/12w4p2f/local
7.
by anton5mith2 3y ago
At present, you need a CPU with AVX. For memory I’d say 16GB or so.
8.
LocalAI: Local models on CPU with OpenAI compatible API(github.com)
14 points by anton5mith2 3y ago|5 comments
9.
by anton5mith2 3y ago
LocalAI is the OpenAI compatible API that lets you run AI models locally on your own CPU! Data never leaves your machine! No need for expensive cloud services or GPUs, LocalAI uses llama.cpp and ggml to power your AI projects! LocalAI suppo
10.
by anton5mith2 4y ago
“Sign in or purchase” seems like some archaic embargo on knowledge. Its 2023, really?
11.
by anton5mith2 4y ago
Indeed check out my other post here - and it definitely was fun!
12.
by anton5mith2 4y ago
I took this to extremes last year: I used it to run MAAS from Australia to sweden (which requires layer 2). Granted I used tailscale to make the WireGuard part even easier, but it was a lot of fun. https://medium.com/@antong
13.
Do you know more about Kubernetes than ChatGPT?(spectrocloud.com)
1 points by anton5mith2 4y ago|0 comments
14.
Installing Ubuntu with TFTP from 17000 KM Away Using Tailscale, VxLAN, and MAAS(medium.com)
4 points by anton5mith2 5y ago|0 comments
15.
by anton5mith2 5y ago
I'm op: After many, many long hours working on this bare metal Kubernetes whitepaper, it's FINALLY done and published. I think I literally did work my a$$ off - at least, sitting in my chair typing this away did make me forget I h
16.
How to run workloads on bare metal Kubernetes with MAAS(ubuntu.com)
2 points by anton5mith2 5y ago|1 comments
17.
by anton5mith2 5y ago
you can still use the debs, we have both! https://maas.io/docs/deb/3.1/ui/maas-installation
18.
by anton5mith2 5y ago
I’m a new product manager at canonical for maas.io and just spent a fair chunk of time producing a bare metal k8s video tutorial. I did it as a learning exercise and it was really interesting. Anyway, it uses Juju and a charm called kuberne
19.
by anton5mith2 5y ago
I'm the author of the tutorial, really happy it worked for you! Do you have any thoughts or feedback for me, would love to hear it.
20.
by anton5mith2 5y ago
I'm the product manager for https://maas.io and the author of this tutorial, would be awesome to get feedback and suggestions. The idea was to make it much faster to get hands on with MAAS since not everybody can easily bui