I don't think the deal described here is even that egregious. It's basically a labeled data scrape. Any entity capable of training these LLMs are able to do this.
That said, I do believe there ought to be more restrictions on private use of these technologies.
A private company can 100% do this in many ways. They already do this buy putting up and using their technology in minority areas, for example.
We should ban the government from accessing data gathered by private companies by default, perhaps. I need to mull on it.
That is trickier to decide on and surely there's room to debate.
What specific legal measures you do to enforce this, I don't know, there's some room for debate there.
I really don't understand why people treat it with such sacrosanct reverence.
It reminds me of a cup and ball street scam. Opportunistic people move things around and there's a choir of true believers who think there's some sacred principles of separation to uphold as they defend the ornamental labels as if they're some divine decree.
I mean come on. Know when you're getting played.
Well, if that's true then employees of the companies that build the tools for all this to happen can also be held responsible, no?
I'm actually an optimist and believe there will come a time whena whole lot of people will deny ever working for Palantir, for Clearview on this and so on.
What you, as a software engineer, help build has an impact on the world. These things couldn't exist if people didn't create and maintain them. I really hope people who work at these companies consider what they're helping to accomplish.
I have friends who are otherwise extremely progressive people, who I think are genuinely good people, who worked for Palantir for many years. The cognitive dissonance they must've dealt with...
Hannah Arendt coined the term “the banality of evil”. Many people think they are just following orders without reflecting on their actions.
If my memory serves me, we had a PCA and LDA based one in the 90s and then the 2000s we had a lot of hand-woven adaboosts and (non AI)SIFTs. This is where 3D sensors proved useful, and is the basis for all scifi potrayals of facial recognition(a surface depth map drawn on the face).
In the 2010s, when deep learning became feasible, facial recognition as well as all other AI started using an end to end neural network. This is what is used to this day. It is the first iteration pretty much to work flawlessly regardless of lighting, angle and what not. [1]
Note about the terms AI, ML, Signal processing:
In any given era:
- whatever data-fitting/function approximation method is the latest one is typically called AI.
- the previous generation one is called ML
- the really old now boring ones are called signal processing
Sometimes the calling-it-ML stage is skipped.
[1] All data fitting methods are only as good as the data. Most of these were trained on caucasian people initially so many of them were not as good for other people. These days the ones deployed by Google photos and stuff of course works for other races as well, but many models don't.
I 'member people who warned about something like this having the potential to be abused for/by the government, we were ridiculed at best, and look where we are now, a couple of years later.
Only if an anonymous person or their property is caught in a criminal act may the respective identity be investigated. This should be sufficient to ensure justice. Moreover, the evidence corresponding to the criminal act must be subject to a post-hoc judicial review for the justifiability of the conducted investigation.
Unfortunately for us, the day we stopped updating the Constitution is the day it all started going downhill.
That is a myth spread by control freaks and power seekers. Yes, bad actors prefer anonymity, but the quoted statement is intended to mislead and deceive because good actors can also prefer strong anonymity. These good actors probably even outnumber bad ones by 10:1. To turn it around, deanonymization is where the bad actors play.
Also, anonymity can be nuanced. For example, vehicles can still have license plates, but the government would be banned from tracking them in any way until a crime has been committed by a vehicle.
I don't think I've read a Wired article since 2002...
Most Americans don’t pay for news and don’t think they need to - https://news.ycombinator.com/item?id=46982633 - February 2026
(ProPublica, 404media, APM Marketplace, Associated Press, Vox, Block Club Chicago, Climate Town, Tampa Bay Times, etc get my journalism dollars as well)
For example:
- every technology has false positives. False positives here will mean 4th amendment violations and will add an undue burden on people who share physical characteristics with those in the training data. (This is the updated "fits the description."
- this technology will predictably be used to enable dragnets in particular areas. Those areas will not necessarily be chosen on any rational basis.
- this is all predictable because we have watched the War on Drugs for 3 generations. We have all seen how it was a tactical militaristic problem in cities and became a health concern/addiction issues problem when enforced in rural areas. There is approximately zero chance this technology becomes the first use of law enforcement that applies laws evenly.
I think that is pretty unlikely
Crimes aren't solved, despite having a literal panopticon. This view is just false.
Cops are choosing to not do their job. Giving them free access to all private information hasn't fixed that.
The thing you're missing is our system is working exactly like it's supposed to for rich people.
The main problem with the law not being applied evenly is structural - how do you get the people tasked with enforcing the law to enforce the law against their own ingroup? "AI" and the surveillance society will not solve this, rather they are making it ten times worse.
>people inevitably respond to one part of your broken framing, and then they're off to the races arguing about nonsense.
I agree that this unproductive. When people have two very different viewpoints it is hard for that gap to be bridged. I don't want to lay out my entire world view and argument from fist principals because it would take too much time and I doubt anyone would read it. Call it low effort if you want, but at least discussions don't turn into a collection of a single belief.
>how do you get the people tasked with enforcing the law to enforce the law against their own ingroup?
Ultimately law enforcement is responsible to the people so if the people don't want it then it will be hard to change. In regards to avoiding ingroup preference it would be worth coming up with ways of auditing cases that are not being looked into and having AI try to find patterns in what is causing it. The summaries of these patterns could be made public to allow voters and other officals to react to such information and apply needed changes to the system.
Go lick boots elsewhere.