When I tried this a month or so ago Linux support was markedly bad, and a quick look at the GitHub issues confirmed it wasn't just me and wasn't a priority for the company. I wouldn't advertise it either.
The nails in the coffin were 1) login was required 2) login was broken because they "didn't consider" it would be run in a headless environment [0] and 3) they shipped with hardcoded binary paths and root requirements [1].
I moved on and use Incus directly with small helper scripts, smolvm, or a full fat VM running desktop Claude or ChatGPT if I (or someone I mentor) really needs the full app. I'm not yoloing every new claw agent in --dangerously-destroy-my-things mode, so network restrictions are best effort, though filesystem access stays tight.
Either way, docker sandboxes really didn't seem to be it, and the company didn't seem interested in trying to be anything beyond an enterprise solution.
At times I couldn't tell if this was a lament or an instruction manual.
The "souled" version of the Clif Bar site and the Amazon Video pause menu are good examples of the pendulum perhaps swinging back . Even today they give "overbusy" more than "rewarding."
This isn't really helping to be nice, though. It's outsourcing the hard part in a way that presents as "nice and helpful" and frames yourself as knowledgeable, skilled, experienced, or trustworthy in a way that doesn't match reality.
Suppose I'm trying to explain how a project works and as part of that I need to explain about an algorithm I found in a book, are people going to object if I say "Here's an explanation from <cite to book>" and quote a few paragraphs?
Suppose instead I found that algorithm by describing the task I needed an algorithm for and asking an AI for the most used algorithms for that task. I picked one of its suggestions, read up on it to make sure what the AI said about it is correct, and then I implemented it. If when explaining how the project works to others I say "Here is a good explanation from <cite to AI> on how this algorithm works. I have verified that this is accurate", and quote the AIs explanation how is that different from the book case?
something akin to degrees of separation from the source, considering people have been complaining about this when it was "here's an explanation from google/wikipedia/stackoverflow" long before llms
Yeah, essentially. Just the first google hit without checking if it actually fits the use case. Or just throwing you a insanely long article about a topic. Maybe tell me what section it's in, or briefly tell me why it's relevant.
> "Here is a good explanation from <cite to AI> on how this algorithm works. I have verified that this is accurate", and quote the AIs explanation how is that different from the book case?
I mean this is fine really, as long it's clear to me that you've actually done something with the content. And it's okay when I already know you and know that you actually do the research on the topics the LLM retrieves for you. It's much different when you don't know each other and you just get some generated response. I have no clue if you've digested the information and verified it before giving it to me, or just tossed it over the fence.
The big issue I have with it in this thread is things like blog posts and comments that seem straight up copied from the LLM. At that point the blog seems meaningless to me. It's not the author's work, it's ChatGPT or Claude, so why would I bother reading their prompt's output. I go to a blog for their writing, not the LLM.
Similarly, I go to a concert to hear the artists. I would be very uninterested to a see an empty stage and hearing an AI generated "live version" blasting through the speakers.
It's been "mathematical" from Gemini for me. Mathematically verified yaml files for Home Assistant, mathematical confirmation of (incorrect) CLI args for a tool, mathematically indistinguishable nutrient profiles of two ingredients.
Also, toss in a quick description. I couldn't tell quickly from the post or site what Chatto _is_. I guessed a vibe coded LLM TUI because that's the new hotness. In a world of Yggdrasil and Immich and Czkawka, a very brief intro helps!
I recently implemented Fish for a project and found it adequate for TTS but wildly impressive in voice cloning. My POC originally required 3-10 audio samples but I removed the minimum because it could usually one shot it.
The model is good, but I will say their inference code leaves a lot to be desired. I had to rewrite large portions of it for simple things like correct chunking and streaming. The advertised expressive keywords are very much hit and miss, and the devs have gone dark unfortunately.
Welp, I guess it's time to start pulling all the uv deps out of our builds and enjoy the extra 5 minutes of calm per deploy. I'm not gonna do another VC-fueled supply chain poisoning switcheroo under duress of someone else's time crunch to start churning profit.
> It is exceptionally easy to tell someone else to spend time and money for a cause you philosophically agree with.
It's advice I have followed myself and with expense.
> What will you, specifically, do to help this person in this case?
In this case I would be willing to help the NPM listings stay under his control and all of the other places he is already using the name "deepkit". I would help him expand that footprint if needed. I would help amplify his voice by publishing a blog entry. I don't have a large blog, but adding your voice has value. Right now this company sees this as X risk and Y cost and those numbers are low. If they have an invalid trademark ruling they may be able to force the issue eventually in some places, but don't make it easy for them.
If a prison analogy is needed, it's not what you see in the movies. Nobody shows up to prison and does the whole "fight the biggest guy" because they want to look tough etc. In the real world that gets you stabbed in your sleep. What happens instead is bullies who can and will win the fight in the long run are deterred by having to do the work and move to the weakest targets.
I don't know how much work the adversarial company has budgeted, what they think X or Y are, etc. What I think is important is to raise the cost, which is measured in many ways besides money.
The nails in the coffin were 1) login was required 2) login was broken because they "didn't consider" it would be run in a headless environment [0] and 3) they shipped with hardcoded binary paths and root requirements [1].
I moved on and use Incus directly with small helper scripts, smolvm, or a full fat VM running desktop Claude or ChatGPT if I (or someone I mentor) really needs the full app. I'm not yoloing every new claw agent in --dangerously-destroy-my-things mode, so network restrictions are best effort, though filesystem access stays tight.
Either way, docker sandboxes really didn't seem to be it, and the company didn't seem interested in trying to be anything beyond an enterprise solution.
0. https://github.com/docker/sbx-releases/issues/186#issuecomme... 1. https://github.com/docker/sbx-releases/issues/48