Literally the plot of a dystopian movie from 20 years ago.
Those weren’t artificial intelligences.
But that’s the ONLY difference. The rest is fairly comparable from the hallucinations of stuff that never happened, erasure of stuff that did happen from their
data setmemories, and completely entrusting due process and justice into a system that was fallible enough to be manipulated by a single bad actor.Where’s Tom Cruse when you need him?
Where’s Tom Cruse when you need him?
Being a walking, talking advertisement for Scientology. They target celebrities because they know celebrities are great advertisements. People with parasocial relationships to celebrities are more likely to join Scientology, something which scientology exploits. It’s why I’ve started trying to avoid any media that features prominent Scientologists; I don’t want to support that kinda behavior. If they didn’t try to exploit it then I wouldn’t care too much, but the fact they’re aware and try to exploit it makes me very uncomfortable.
In the afterscape, can we all collectively agree to hunt the heads of scientology across the lands and set fire to their apocalypse compounds?
Sure, we’ll need some target practice before raiding the wealth-hording bunker dwellers.
Plus the desperate and the idiots can go first as bullet sponges.
Well yeah and yeah I get why you are avoiding media that doesn’t have Scientologists (incidentally, fuck Hubbard and fuck Miscavige) but that’s got to be a pretty small pool of film and TV considering the stranglehold they have on not just actors but directors, producers, executives, etc.
That’s why I specified prominent Scientologists. It’s really hard to avoid them entirely (unless you only watch non-US stuff), but it is possible to avoid people like Tom Cruise, Nancy Cartwright, John Travolta, etc.
Oh, I’ve seen this movie.
Not to pee on anyone’s pool but that’s something that most law enforcement offices have been doing for a-la-la-long-time: Statistical analysis.
Basically you get a lot of crime data, you create a forecast and voila: you can “predict” where future crimes will happen*.
*Prediction accuracy depends on data accuracy (i.e. as accurate as your cops are legit and people trust them enough to report) and model bias.
Model bias is interesting: we weight some petty crimes like weed peddling heavier than if my company poisons the city water supply.
Why is “AI” included here is because in the last decade, we’ve become better at deep learning forecasting methods, that improve on traditional statistical analysis.
That said, in real-life scenarios you ought to combine both statistical and ML models with DL ones to reach a valuable forecasting.
My final point is that this is a huge time consuming activity: Anyone promising a system that can produce real-time realistic forecasting is a liar; useful forecasts take months to produce (and crime might have changed once completed).
The problem is that these systems inherit the racist biases from the training data, both from the real world and the people who collected the data.
I was wondering what this crazy guy was doing lately
bro thinks he’s gonna be John Reese with this…
“It is I, Pickles.”
I get that reference.
