Agreed, I like the Oxide podcast as well, even though it’s hardware I’m unlikely to ever see never mind use, it’s nice that someone somewhere is still trying to be what they are trying to be.

Having dealt with Enterprise Hardware(TM) in a previous job, it’s refreshing simply to see someone look at that pile of crap and go “it doesn’t have to be that way” and then actually set out to prove it.

That is honestly the highest possible praise -- thank you. And when this piece was starting to boil inside of me last night (triggered, I'm sorry to report, by an obviously LLM-authored guest blog entry from the Rust Foundation[0]), I messaged one of my colleagues: "Time to do what I do best: bluntly say what lots of people are thinking."

Glad those words proved prophetic!

[0] https://rustfoundation.org/media/how-the-rust-standard-libra...

I have (an API, not an extension), but pangram is way to expensive for me to run, current (v4) pricing is $0.05 per 100 words. Should be absolutely doable if we split the cost between users tho.

I tried searching for good opensource / reasonably priced alternatives, pangram themselves even have some of their older architecture and training data on github/hugging face, but i never got that working reliably enough.

I would go even further, I want a browser extension that scans all words on every page and colours them more and more transparent as the likelihood of llm prose is increased.

There's a website that does this: https://www.salahadawi.com/hacker-news-ai-detector

Unfortunately, it's not a browser extension and doesn't seem to have an API. I'd make a browser extension for this myself if it didn't involve paying for expensive Pangram usage.

AI slop really needs to be auto-flagged. It’s been like 20% of front page links I click on lately.