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"cargo install localgpt" under Linux Mint.
Git clone and change Cargo.toml by adding
"""rust
# Desktop GUI
eframe = { version = "0.30", default-features = false,
features = [ "default_fonts", "glow", "persistence", "x11", ] }
"""
That is add "x11"
Then cargo build --release succeeds.
I am not a Rust programmer.
Pro tip (sorry if these comments are overdone), write your posts and docs yourself (or at least edit them). Your docs and this post is all written by an LLM, which doesn't reflect much effort.
I was also burnt many times where some software docs said one thing and after many hours of debugging I found out that code does something different.
LLMs are so good at creating decent descriptions and keeping them up to date that I believe docs are the number one thing to use them for. yes, you can tell human didn't write them, so what? if they are correct I see no issue at all.
Made a quick bot app (OC clone). For me I just want to iMessage it - but do not want to give Full Disk rights to terminal (to read the imessage db). Uses Mlx for local llm on apple silicon. Performance has been pretty good for a basic spec M4 mini. Nor install the little apps that I don't know what they're doing and reading my chat history and mac system folders. What I did was create a shortcut on my iphone to write…
Pro tip (sorry if these comments are overdone), write your posts and docs yourself (or at least edit them). Your docs and this post is all written by an LLM, which doesn't reflect much effort.
counterargument: I always hated writing docs and therefore most of thing that I done at my day job didn't had any and it made using it more difficult for others. I was also burnt many times where some software docs said one thing and after many hours of debugging I found out that code does something different. LLMs are so good at creating decent descriptions and keeping them up to date that I believe docs are the num…
Indeed. Are you verifying that they are correct, or are you glancing at the output and seeing something that seems plausible enough and then not really scrutinizing? Because the latter is how LLMs often propagate errors: through humans choosing to trust the fancy predictive text engine, abdicating their own responsibility in the process.
As a consumer of an API, I would much rather have static types and nothing else than incorrect LLM-generated prosaic documentation.
Earlier quoted context omitted.
counterargument: I always hated writing docs and therefore most of thing that I done at my day job didn't had any and it made using it more difficult for others. I was also burnt many times where some software docs said one thing and after many hours of debugging I found out that code does something different. LLMs are so good at creating decent descriptions and keeping them up to date that I believe docs are the num…
> if they are correct I see no issue at all. Indeed. Are you verifying that they are correct, or are you glancing at the output and seeing something that seems plausible enough and then not really scrutinizing? Because the latter is how LLMs often propagate errors: through humans choosing to trust the fancy predictive text engine, abdicating their own responsibility in the process. As a consumer of an API, I would mu…
Somehow I doubt at this point in time they can even fail at something so simple.
Like at some point, for some stuff we have to trust LLMs to be correct 99% of the time. I believe summaries, translate, code docs are in that category
Fails to build "cargo install localgpt" under Linux Mint. Git clone and change Cargo.toml by adding """rust # Desktop GUI eframe = { version = "0.30", default-features = false, features = [ "default_fonts", "glow", "persistence", "x11", ] } """ That is add "x11" Then cargo build --release succeeds. I am not a Rust programmer.
cd localgpt/
edit cargo.toml and add "x11" to eframe
cargo install --path ~/.cargo/bin
Hey! is that Kai Lentit guy hiring?
So weird/cool/interesting/cyberpunk that we have stuff like this in the year of our Lord 2026: ├── MEMORY.md # Long-term knowledge (auto-loaded each session) ├── HEARTBEAT.md # Autonomous task queue ├── SOUL.md # Personality and behavioral guidance Say what you will, but AI really does feel like living in the future. As far as the project is concerned, pretty neat, but I'm not really sure about calling it "local-firs…
By time hardware costs shrink to allow you to run useful models, concurrently in multi agent environments, they'll have already devalued labor on a scale never before seen.The layoffs and labor will cause us all to work for morsels, on whatever work opportunities remain. Eventually you'll beg to fight in a war.
LLMs are only here to attack labor, devalue the working class and eventually make us useless to the ruling class. LLMs do not create opportunities/jobs, they replace the inputs to labor, humans. That's their only purpose.
But I guess most llm-kiddies think they're going to vibe code their way out of the working class with Anthropic's latest slop offering. Good luck with that. In 5 years your labor will be worth a 1/4 maybe 1/2 of what it is now, and that vibe coded startup of yours will have been made 5000x times over by every other delusional llm-kiddie.
Have fun with your GPU, you won't be able to afford a 60 series, if they even make one, and it certainly won't be powerful enough to pull you out of the black mirror episode we're heading towards.
I recommend learning and not frying your brain with "Think for me Saas", and not being dependent on Meta or Alibaba open sourcing some model that allows you to compete with them.
Pro tip (sorry if these comments are overdone), write your posts and docs yourself (or at least edit them). Your docs and this post is all written by an LLM, which doesn't reflect much effort.
These plagiarism laundering machines are giving people a brain disease that we haven't even named yet.
Pro tip (sorry if these comments are overdone), write your posts and docs yourself (or at least edit them). Your docs and this post is all written by an LLM, which doesn't reflect much effort.
> which doesn't reflect much effort. I wish this was an effective deterrent against posting low effort slop, but it isn't. Vibe coders are actively proud of the fact that they don't put any effort into the things they claim to have created.