MangoCats

I'm going to guess if you expressed what you want to a decent LLM, it could generate it for you to copy-paste.

Seriously, I have been screwing around with AI for coding for 12 months now. The prompts I had to give 12 months ago to make the LLM generate decent code are mostly un-necessary now, the models have learned to do those things for themselves, so I am now prompting for the less-obvious stuff. Whatever they're missing, that's what you need to be prompting.

How about: AI Generated 3D models flood the free / open source repositories, anything wrong with that?

Sounds to me like the people who designed Luna should have had Luna scaffold the appropriate deterministic tools instead of smushing all the policy decision making into 200K tokens of working space (roughly the brain capacity of six bumblebees.)

Management has been overrelying on "data dashboards" to justify their hire/fire decisions for decades. This "dashboard" just happens to be capable of producing an articulate paragraph stating why the decision matches established patterns.

In this case it fucked up it’s time keeping thing which shouldn’t surprise anyone who has done any sort of coding with an LLM

This time and earlier last year, yeah. Try again with the newer Anthropic tools and you'll find them to be rather thorough and correct with their calendar and clock math, handling of edge cases like DST shifts, leap years, etc.

Yeah, now imagine how much better (/s) that would be if "the cloud" was looped in to the timer so that any network outage or server outage or successful hack or DoS attack caused your feeder to malf.

But, if you're exceptionally clumsy, you leave clues in the whitespace that something is hiding there.

What kind of retaliation can the plaintiff make on the LLM agent?

And when you have "proof" they fudged their numbers, how exactly do you make the monster pay? It's definitely a rigged game.

I would 100% prefer a LLM that is purely deterministic and repeats the same answer exactly to the same question

Then you don't like your LLM to solve problems, because a lot of how they solve problems is trying, testing, failing, then trying again - getting a different answer and testing that...

This is reminding me of the old "we're going to watermark our digital music so when you rip it to mp3s we can still tell where it came from..." stuff that was going around in the 1990s.