Vault is an Obsidian thing. This is just an "agent" (read: LLM harness in a loop) with access to it, a system prompt and a few markdown files. Nothing meaningful has changed in the LLM primitives, nor will it :)
The American discourse around these killings are actually insane. In any other developed country it wouldn't be possible to escalate these situations like this regardless of what you were doing.
The tact aspect seems like a real possibility. In a world where users are likely to cut&paste responses it can't really be sprinkling in references like this.
My favourite one was debugging a crash in an Electron app deployed to iOS. It turned out throwing an exception from a point event callback (deep in our app's code) was bubbling up into the device's kernel code.
I agree with the article, but that's not how the vibe coders see themselves. From their perspective they can't see the gap between programming and product, and in my experience are pretty hostile to feedback from real software engineers.
I realise your answer wasn't assertive, but if I heard this from someone actively defending AI it would be a copout. If the selling point is that you can ask these AIs anything then one can't retroactively go "oh but not that" when a particular query doesn't pan out.
I read some of your other replies and I can't quite get a read on your line of reasoning.
The issue is we would give less attention to these things if it wasn't for the social credit the humans gave the vomit. So we engage in good faith and it turns out it was effectively a prank, and we have no choice but to value requests from those people less now because it was clear they didn't care about our response.
I don't understand the use case, can someone enlighten me? I've always used them as a caching mechanism for derived / expensive data, and they work perfectly for that as-is. If you want to enumerate them I can't help but think your mental model is wrong and you actually don't want the keys to ever be released from memory.
It's not apparent if you're not already an expert in the domain you're querying, so users trust its answers, especially because it's delivered with an air of confidence (until you challenge it).
Unfortunately that's good enough for a lot of people, especially when you don't actually care and just need an output to give to someone else (office jobs etc).