

😂 Thanks for the chuckle – though also… I’d read that I think
😂 Thanks for the chuckle – though also… I’d read that I think
Seriously can’t agree more. Whatever small utility LLMs offer (I haven’t used them in my day-to-day work at all because a regular search works for me just fine, and I can create my own images), it’s not worth the incredible amount of resources used to perform a single query. Maybe if we had fusion energy and there were no environmental implications to further researching the theoretical limits of LLMs their use could be justified–but we don’t, there are, so it can’t.
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+1 for Ferris!
Thank you! Also love the username–great game in great series
I have been dancing around taking the plunge into GrapheneOS – I have a pixel. Glad to hear you say this, bc it gives me confidence that I could move to it and not lose absolutely all the apps I have become accustomed to. There exists a list of apps that are compatible once de-googled (un play-protected), right? Also, I saw you mentioned that graphene can sandbox google play?
Someone where I work set up a process to provision a VM with simulated devices & networking using containerlab. We use it to simulate scenarios and test the orchestration/automation software we develop. You declaritively define the nodes and connections, it’s multi-vendor, and uses docker.
There’s also clabernetes, which allows you to deploy the topology into a kubernetes cluster
Don’t know if this will help assuage your fears: https://www.techradar.com/news/mullvads-no-log-policy-proven-after-police-raid
I’ve used Mullvad for years, and from what I know, they store almost nothing – only your randomly generated account number. If you are paying using an anonymous method that’s even less to go on.
Am I one of the few who just doesn’t use AI at all? I don’t have to generate tons of code for work at the moment and brand new projects that I’ve been given are small–meaning I wouldn’t necessarily use it to generate starter boilerplate. I have coworkers that love copilot or spend much longer prompting ChatGPT than they would if they wrote code themselves. A majority of my time is spent modelling the problem, gathering rejuirements, researching others’ solutions online (likely this step could be better AI-assisted?), not actually implementing a solution in code.
Anyway, I’m not super anti-AI in software development, and I see where it could be useful. Maybe it just isn’t for me yet. The current hype around it as well as the attitude of big-tech exceptionalism (“AI can salve all our problems”) feels a bit like a bubble, at least regarding the current generation of LLMs and ML
My thoughts exactly. DRM has rone way off the deep end
What do you mean by “doesn’t read from the same directory”? Is part of your application’s function to read in data from files in your project’s directory tree?
Without seeing the directory structure of your project, or some more actual code samples its hard to understand how to help 😅
That is amazing! Now, I need to see about using weather satellites to explain the bugs in my code at work…
Me and my brother would sit in the magazine aisle at the grocery store and pore over Nintendo Power like it was a religious text lol
Also, you just made me remember getting all those demo discs with PlayStation magazine
Yes I’ve used rename! In my case, I just need to rename and reorganize a bunch of movies & associated metadata files into directories. I don’t have too many stored digitally now, so I think just shaving the yak and doing it manually via file share will work for now.
Never been an emacs user… Seems like quite a rabbit hole
I’ll look into sequelize! Also, we are undergoing a training right now. I have some previous experience from $lastJob with k8s, but I’m sure my knowledge is out of date so glad to be doing it.
Helix + zellij huh? I’ll definitely try it out
Laziness so far haha but yes that’s a good plan
Though we are moving to kubernetes & helm soon, currently we use migration scripting tools (like alembic
) for schema and data migration on app start, and our infrastructure/devops team uses ansible for deployment. Currently, we don’t have CI/CD straight to production—it’s still a manual process—but I hope to change that as our organization starts using k8s.
I don’t remember exactly what’s in my old desktop that I converted (traveling and I still haven’t set up tailscale sadly), but it has
Then I’m only running
as a docker compose project/system service on Debian server, and I have a Raspi4 running Kodi/OSMC with the jellyfin plugin for streaming to TV
This was an old desktop I had laying around that was a hackintosh when I was doing digital art professionally, and I figured I’d toy with converting it. One day I’d like to get to a full-fledged setup like yours, but need time and $$