SwellJoe

Joined 19 years ago

Karma
36,851
Submissions
7,856
Member since
Feb 19
YC W07

I work on Virtualmin. You can find it at http://www.virtualmin.com

I blog at https://swelljoe.com

I toot at https://mas.to/@swelljoe

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Recent submissions

Comment · 34 minutes ago
I think that requires testing, rather than assuming. There's only so far a harness can go.
Comment · 52 minutes ago
Bonsai 2-bit quantization is notably dumber than Qwen 27B at eight bits or even four bits. I doubt you'll get this level of quality even with five of them.
Comment · 1 hour ago
"Their kernel orgs are pretty lean"

For years, Red Hat employed more kernel developers than anyone and contributed more. These days they're "only" the fourth largest contributor, after Intel, Google, and Meta, but they are still among the largest corporate contributors.

If that's a lean kernel org, I don't know what a fat one would look like.

Comment · 2 days ago
I like nearly all of my coworkers, but they're not my friends. I met my friends doing things that don't pay, maybe things that lose money like making music or art.
Comment · 3 days ago
Yes. For similar tasks using Antigravity+Argon vs. Codex+Astra vs. Claude+Opus, Gemini has the most generous limits on the $20 plan. Since the ChatGPT limits got nerfed last month (or whenever, I can't keep up), the $20 ChatGPT plan is very stingy. With similar tasks I'd see 2x-3x faster consumption using Codex+Astra vs. Antigravity+Argon. I could casually code all day on the $20 Gemini plan, using Argon on Medium, without ever bumping into the limit, which is not true of ChatGPT or Claude $20 plans (but used to be true of ChatGPT). If I were using automated tools and doing a bunch of things at once, I'm sure I could saturate it, but I don't think most humans are very good multitaskers even with agents doing most of the work, so I tend to stay pretty engaged with what's happening and while the agent is working, I'm spending time looking over the previous work, testing, editing docs, etc. I'm not juggling five projects at once, most of the time.

The order of generosity, as it seems to be from my limited testing is currently Gemini->Claude->ChatGPT. (And, if we're including Chinese subscriptions, Kimi is below all of those. Very stingy.)

Comment · 3 days ago
I'm talking specifically about using it in Antigravity CLI.
Comment · 3 days ago
I don't like it when unrelated projects squat on the name of some existing project. Trademark isn't just a commercially useful thing, it helps users understand what they're getting and who they're getting it from.

It's shitty for a new project to ride on the coattails of a trusted project with years of reputation. It misleads and confuses folks.

Take inspiration anywhere you like, borrow the code all you like, but don't steal the damned name.

Comment · 3 days ago
The problem with Argon, that makes it feel like older models to me, is that it stops and waits for confirmations far more often. If run (in a VM or container) in the dangerously skip permissions mode, it gets a lot less annoying. It feels quite smart and thorough, to me, though still lagging Opus 5.5. I'd be fine using it instead of Opus for most things.

This post explicitly says that's been improved in Carbon. So, here's hoping. Google currently has the most generous usage limits on their $20 plan among US providers, so it's a pretty good deal.

Comment · 4 days ago
That tracks. Fable refuses anything interesting, and Opus from 5 onward also refuses pretty regularly. It's one big reason I have other subscriptions.
Comment · 4 days ago
I suspect the public model will refuse. Anthropic models have gotten extremely strict on biology and security work.

I'd be happy to be wrong, though. I've never tried to do biology with Claude, but I have gotten many refusals and downgrades for security work.

Comment · 4 days ago
Yeah, without the ability to search the web, a very small model is going to be too dumb to be useful, and maybe even dangerous due to hallucinations. But, there is a point where the knowledge of self-hostable models will surprise you. That point is probably not runnable on the average laptop, though. It's maybe in the ~30B range, but more realistically in the 128B MoE range. I guess in their tests Qwen 3.8 27B got as many right as the much larger Nemotron Super, but I'd bet Qwen 3.8 Flash would be better than either, but it needs 128GB of unified RAM or a big GPU and lots of system RAM to run the 4-bit version.

I think if I had to build an emergency LLM today, that had to run on modest hardware, I'd bet on Gemma 4 12B. It's got excellent reasoning and good vision/audio and speaks 140 languages.

But, I don't know about the "classic" knowledge base theory, though. Is there a high quality curated pile of survival information that could be bundled into a web UI and made searchable in a knowledge base? The LLMs aren't focused on that topic, so there's a lot of wasted space, but they know a little about a lot of things, including survival topics. Combined with Wikipedia, and maybe a few other sources, you're probably better off with one than without.

I guess one could use some huge models plus web search to compile/distill a focused survival knowledge base or LLM.

Edit: Project NOMAD seems to mostly be exactly that. It has authoritative sources in a searchable knowledge base and the tiny LLMs are an afterthought, which is probably what they should be. https://www.projectnomad.us/

Comment · 5 days ago
This is the worst kind of slop. The kind where someone doesn't exhibit any concern for quality or user experience. I know that's so, because it's a gazillion unrelated apps that clone existing huge apps, built by a couple of people and Claude.

The reality of launching a good product with AI is that the coding is very fast, but the QC, the documentation, the refinement and user testing, isn't all that much faster, if you care about it being good.

This is a mountain of code, full of bugs and weirdness that users will be the first to find, because nobody else is looking at it.

My process for building with AI is "intense weekend of vibe coding" and then several times that time spent on refinement and testing that comes from actually using the software a lot. A couple of devs can't be responsible for every major application.

With AI, you can make anything you want, but you can't make everything.

Comment · 5 days ago
Because society breaks down when there is an elite class of people who are so wealthy the law no longer applies to them, while a significant portion of people are on the brink of being homeless, and many more are one health emergency away from it.
Comment · 5 days ago
I use Hugo published to Github Pages for my blog. I've never thought about performance (it's Fast Enough™ when I visit it), but I just checked and it's 100 on pagespeed. The magic of a static HTML blog is you don't have to think about performance. An entire category of problem just disappears.
Comment · 6 days ago
The surveillance capitalists have made it hacker news, by putting their thumb on the scale for fascists.

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