I work in the digital handling of PHI (HIPAA regulated) it's pretty insane what is considered HIPAA protected in that world.
In practice, yeah, real people can't just be all "oh, that's a national secret, I can't tell you anything about my work or the weird worms people had in weirder places...
She'd tell stories (without the names)- many of her colleagues would get deep into the personal details...
Clue: Medical transcription has been done by "AI" for the past 20 years. Source: sister in law was a medical transcriptionist making $80K per year, until Dragon Naturally Speaking and friends decimated her job market.
Let me tell you about how medical transcriptionists used to do it: Sister in law was one, she didn't seem to care about HIPAA too much, she and all her colleagues did lose their jobs about a 15-20 years ago when AI transcription software took over their jobs, but before that she was frequently given jobs because her predecessors made serious mistakes in their transcriptions.
Lately, YT has been serving me sort of schizo-slop. On the one hand, it's content I'm interested in, the base stories are good, the presentation isn't bad - but it's low effort and long running for no reason. A story that could be related in 15 seconds, well told in depth in 3-5 minutes is dragged out, repetitively repeating its few points for 20 minutes or more.
It's a vast improvement over the teaser text stories that used to promise you'd read something interesting if you just scrolled past 500 ads and click forward 50 pages - those became rather instantly recognizable as time-waste abuse 15+ years ago, low cost low quality writing from low paid humans. The new schizo-slop has a core of seemingly verifiable interest (if it's not actually verifiable it's a core of a well written believable fiction), and seems to be filling in around that core with verifiable interesting context, it's just taking 5-10x longer to present than is needed, or interesting, and I'm wondering what they think they're gaining by sucking people's attention in for so little in return?
If you dig a little you can get the articles explaining better, but basically: yes, you have to have the weights, and a secret key... Given those, they split the words that might be chosen at each point into two groups and only choose from one group.
Later, you can check for the watermark by splitting the same way and seeing how many times the words in the text match the group that fits with the secret key. Normal text would hit a 50% match, but unlatered AI generated text would hit 100% match, so... somewhere higher than 50 you start to suspect AI involvement, possibly edited, and by the time you get over 99% it's virtually certain that AI had some involvement - particularly if the sampling of words runs into the thousands.
Don't confuse me with facts! (And, thanks... I have since seen the articles about how it works based on word selection from a subset of the words that would have been randomly selected by the "heat" of the model.)
Yeah, I "vibe coded" a timesheet app in about $15 of Claude subscription credits. Actually did it twice: $10 for the Python version, then migrated that to Go for $5 - it does run a lot faster in Go while simultaneously consuming less power / resources. It makes a couple of nicely formatted timesheets, serves multiple clients with multiple service providers, tracks everybodys' shifts, providers can log in from their phone and accept/drop shifts, schedulers can create new open shifts for providers to consider, etc. etc. - been using it for about a month now, so far the math is flawless - as compared to the human+calculator math that was being used before which seemed to have at least 1 error per 10 shifts computed.
Everybody should have been looking at the quality of their output before LLM tools were even a thing. They never should have stopped, if they did, that's on them just like Tesla drivers napping at 80mph.
That's really about the time and effort you put into the construction of the model and what you're trying to model in the first place.
For the most part, the LLMs are really bad at building say - a cat with realistic long fur. However, they can be good coloborative tools teaching you how to use Blender to build a decent cat with realistic long fur for yourself - speeding up that learning curve quite a bit over reading "Blender for Dummies" examples and building from there...
It's like comparing a stone sculptor to a welder where the welding tools started as magnifying glasses in the direct sun a year ago worked up through acetylene torches and now you've got 400A precision TIG arc welders to screw up with...
Nah, man, nobody needs more than Win98SE /s