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Fair point. The article doesn't mention LinuxToaster's products — the curiosity here is about the future of open source, not promotion. For what it's worth, toa
by dirk94018 6mo ago
Fair point. The article doesn't mention LinuxToaster's products — the curiosity here is about the future of open source, not promotion. For what it's worth, toastd does what LiteLLM does in C with no Python supply chain, which is part of what got me thinking about this topic in the first place. But that's not in the post.
- gnabgib 6mo agoDoes this part -at the bottom of your article- not count? > LinuxToaster is a set of Unix tools re-imagined for the AI era. From toast — sed with a brain — to ito, version control built for AI, to squawk, a messaging bus for AI and humans.
- dirk94018 6mo agoAfter reading the guidelines... This IS the original source. I wrote it. The guidelines explicitly ask for this. A post about supply chain attacks, the economics of open source, and the LiteLLM compromise that happened today is squarely on-topic for this audience. Is "You're over-doing the self promotion" without engaging a single idea in the article a shallow dismissal?
- deleted 6mo ago[deleted]
- ThrowawayR2 6mo agoWe can see that your submission history is nothing but your own site (https://news.ycombinator.com/submitted?id=dirk94018 https://news.ycombinator.com/submitted?id=dirk94018) and various comments in your posting history history seem to be attempts to drive traffic to it so the other poster is correct in that you are are not adhering to the guidelines. If you have questions, you are welcome to email the site administrators using their email address on the contact page linked at the bottom of the page.
- dirk94018 6mo agoFair. The posts have all been from our blog, because that's where I write. I'll make a point of submitting other things I find interesting too. In the meantime, happy to discuss the actual ideas in the article if anyone's curious. If you look at the posts, each one is something very different. AI bots creating a shared reality. Open source having a serious supply chain problem today. Gradient descent applied to code. Writing an inference engine from scratch. Each one stands on its own.