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There's https://github.com/skrabe/lobotomized-claude-code , which strips many of those, but I'm not sure if it is "legal" to use.

You could pair a big and small model like qwen 32b with qwen 4b and had that same dynamic of the small model generating tokens and the big one "certifiying" them.

The blog says something about re-using the big model's data?

But note the free tiers for groq and cerebras are very generous.

My approach on Azure has been to rely as little as possible in their Infra-as-code, and do everything I can to setup the cluster using K8s native stuff. So, add-ons, RBAC, metrics, all I'd try to handle with Helm. That way if I ever need to change K8s provider, it "should" be easy.

In ECS, service updates would take 15 min or more (vs basically instant in K8s).

ECS has weird limits on how many containers you can run on one instance [0]. And in the network mode where you can run more containers on a host, then the DNS is a mess (you need to lookup SRV records to find out the port).

Using ECS with CDK/Cloudformation is very painful. They don't support everything (specially regarding Blue/Green deployments), and sometimes they can't apply changes you do to a service. When initially setting up everything, I had to recreate the whole cluster from scratch several times. You can argue that's because I didn't know enough, but if that ever happened to me on prod I'd be screwed.

I haven't used EKS (I switched to Azure), so maybe EKS has their own complex painful points. I'm trying to keep my K8s as vanilla as possible to avoid the cloud lock-in.

[0] https://docs.aws.amazon.com/AmazonECS/latest/bestpracticesgu...

I live by my calendar. I try to write everything I have to do down. I put my things always in the same place. But procastination...

Meds do help a bit.

Are you using both chatgpt and mistral? Do you use them for different tasks?

https://help.elevenlabs.io/hc/en-us/articles/14888868300177-...

https://help.elevenlabs.io/hc/en-us/articles/14888917355409-...

I usually write pseudocode when I'm thinking about a problem to solve, so in a way I'm "thinking with pseudocode" instead of plain language. Pseudocode is probably more accurate than plain language, and it's something I'd use when explaining to other humans what I want them to code (along with diagrams, which seems ChatGPT would understand now). So, to me, speccing this pseudocode to something the LLMs find easier to understand sounds reasonable. It's like understanding how a fellow programmer prefers to get his requirements.

Have you heard of any other language like this? Or had success using SudoLang?

I find it very helpful, does code completion too and has a chat interface. You can select code and ask for refactorings, comments and whatever.

That will load a web version of VS Code, and you can then use the search from there.

When I was depressed, these posts helped:

http://hyperboleandahalf.blogspot.com/2011/10/adventures-in-...

http://hyperboleandahalf.blogspot.com/2013/05/depression-par...

And if you like them, I find everything by her extremely funny, so go ahead and read up.

Good luck and hope you get better soon!

And there's also the SWAG: Scientific Wild Ass Guess, for when some thought went into it :)

Granted, this solution let's you give ssh access to anywhere, but usually if I want to share a terminal, it's on a server the other person has access to.

So ideally I'd select a window, shift+win+1 to save that window, and win+1 to recall that window.

You can read the text, and see some images, but the capture wasn't perfect. Such a shame, it looks very interesting. They should have an archive.