It turns out to be more interesting than that. For example, there is no other ape with skin resembling that of marine mammals. And that is just a start. Mankind is seriously weird.
The details of the story are interesting. Backups stored on the same volume is an interesting glitch to avoid. Finding necessary secrets wherever they happen to be and going ahead with that is the kind of mistake I've seen motivated but misguided juniors make. Strange how generated code seems to have many security failings, but generated security checks find that sort of thing.
> Backups stored on the same volume is an interesting glitch to avoid
The phrasing is different, but this is how AWS RDS works as well. If you delete a database in RDS, all of the automated snapshots that it was doing and all of the PITR logs are also gone. If you do manual snapshots they stick around, but all of the magic "I don't have to think about it" stuff dies with the DB.
To be fair, to delete an RDS / Aurora DB, you have to either pass it a final snapshot identifier (which does not disappear with the DB), or tell it to skip the final snapshot. They give you every possible warning about what’s going to happen.
With all the exotic drilling tech making fracking work, it seems like geothermal is a natural pivot since much of the challenge is controlling the cost of drilling deeply.
Medical device companies are run very differently from most technology development companies. They have to be because the stakes are high, evaluation criteria are different, and medical related marketing and sales have separate industry managed channels and venues.
This defensiveness just makes the situation worse. If they came across as at a disadvantage and doing their best that could attract help and admiration. Trying to cover things up while being hostile just makes them look like reactionary creeps with too much power. An unfortunate turn of events in any case.
That isn't really true, though, at least not when actual common usage is considered. As the studies of "Trendslop" have revealed, LLMs aggressively normalize output. What they do is generate content based on averages over large samples. This gives everything from them a strong tendency to revert to the mean from concepts to presentation and style.
Being cautious and an autistic mathematician also I am prone to heavy qualification. This causes very large blocks of my writing to be highlighted as "Hedge Stack" which isn't really helpful. Lots of Overused Intensifier and Triple Construction instances also, but those are usually words or phrases, not several paragraphs together as with Hedge Stack.
Seems like a sad situation, but I'm not going to start changing my communication style to avoid sounding like an LLM. At least not yet.
There is a word for this kind of thing: Trendslop. Asking LLMs for advice consistently generates average responses as if the questions were being asked of the training sample population. It is reversion to the mean as a service.
reply