Veltis
(noun) \ ˈvɛl-tɪs \
Definition: The sudden, heavy realization that a piece of hardware, software, or physical object you rely on every day has quietly cross-graded from a "tool you own" into a "service you manage." It’s the specific weight of knowing a simple device now requires its own ecosystem of accounts, updates, or maintenance to function.
In Context
The Sensation: "I went to use my old e-reader, but it required a mandatory account migration and a firmware patch just to open a local file. I felt a massive wave of veltis."
As an Adjective (Veltistic): "I love the new smart espresso scale, but the fact that it needs a Bluetooth sync to track water flow feels a bit veltistic."
Funny that the replies are dead. It's true that generally we shouldn't have AI output on HN but this case is an exception as we are explicitly asking for it, so it's interesting that people still flag the replies.
And this is really not OK. I've been a victim of the same filter.
Dang/Tomhow, are you reading this? Would it make sense to modify your slop filter to avoid auto-flagging/killing replies that credit the LLM explicitly? Otherwise valid discussions will continue to get hosed.
From what I can tell, anything that triggers some sort of AI post filter gets automatically flagged. Several posts in this thread are visible only with showdead enabled.
My argument is that this rule should apply only to people who post LLM output under their own user names without acknowledgment, or otherwise post it where it doesn't belong. If the topic of a (sub)thread involves LLM output, it should be OK to cite examples without getting your post flagged.
You must be joking? Unless by combining words you mean digging deep into Latin and Greek etymology, finding something pithy and linguistically associative.
I can assure you, the percentage of people who can do what they do when it comes to crafting terms, and related sets of terms, for nuanced and novel ideas is very very small.
It happens this is something I do nearly every day.
Models respond to the level of dialogue you have with them. Engage with an informed perspective on terminological issues and they respond with deep perspectives.
I am routinely baffled at the things people say models can't do, that they do effortlessly. Interaction and having some skill to contribute helps here.
