What we need first is incentive for smart, dedicated, part-time sys-admins to devote time and effort to community hosting.
Without this, it will work --- in the same way that open source works --- without any guarantees or commitments whatsoever.
In other words, you're on your own for the most part. So it really is just a variation on self hosting. By the way, we've already been there, seen that and done that --- it was called "co-location".
When you need something more with service and reliability, well --- you're right back to paying corporate overlords.
But thanks for the round trip thought experiment.
Really, it's easy to get sysadmin types interested in this; the problem is that most people aren't sysadmins and don't know any. If you really wanted a business model out of this, it'd probably be a managed service that lets non-tech-savvy users spin up their own versions of this without learning the details.
> Without this, it will work --- in the same way that open source works --- without any guarantees or commitments whatsoever.
There are plenty of successful economic models around open source, and plenty of open source software is used in high-reliability contexts. What comparison are you trying to make?
For context, here’s a handful of the ChatGPT cues I see.
- “wasn’t just my backup—it was my clean room for open‑source development” - “wasn’t standard AWS incompetence; this was something else entirely” - “you’re not being targeted; you’re being algorithmically categorized” - “isn’t a system failure; the architecture and promises are sound” - “This isn’t just about my account. It’s about what happens when […]” - “This wasn’t my production infrastructure […] it was my launch pad for updating other infrastructure” - “The cloud isn’t your friend. It’s a business”
I counted about THIRTY em-dashes, which any frequent generative AI user would understand to be a major tell. It’s got an average word count in each sentence of around ~11 (try to write with only 11 words in each sentence, and you’ll see why this is silly), and much of the article consists of brief, punchy sentences separated by periods or question marks, which is the classic ChatGPT prose style. For crying out loud, it even has a table with quippy one-word cell contents at the end of the article like what ChatGPT generates 9/10 times when asked for a comparison of two things.
It’s just disappointing. The author is undermining his own credibility for what would otherwise be a very real problem, and again, his real writing style when you read his actual written work is great.
Dude, plenty of people write with em-dashes and semicolons; I personally use them constantly (and I don't use LLMs at all). Em-dashes are trivial to type on MacOS (Alt+Shift+Dash) and even on Windows—I used to have the alt code muscle memorized (Alt+0151) but now I just use the Mac version with an AutoHotkey script. I get being wary of LLM spam now that it's pretty much everywhere, but this is not the "tell" you think it is.
To be clear, you're free to dislike this writing style, but I'm 100% confident that it has been common since long before LLMs were in widespread usage.
> his real writing style when you read his actual written work is great.
You're doubling down on this not being "his real writing style" despite acknowledging you were wrong about this being written by ChatGPT?