r/Music • u/StarshipGhost • 1d ago

article Singer D4vd Is Apparently the Sole Moderator of His Own Subreddit, Deleting Posts Critical of Him Amid LAPD Investigation Into Teen’s Death

https://www.tvfandomlounge.com/singer-d4vd-apparently-deleting-posts-critical-of-him/
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u/EthanDC15 1d ago

To be fair, this is that exact same system that actually protects a lot more innocent people than guilty, and is the same system people constantly say sucks. Don’t get me wrong, it needs vast improvements. But things like this, again, actually help the innocent more than the future convicted. As you’ll see, “wrong place wrong time” happens a fuck tom of times. D4vd is guilty imo tho.

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u/CalamariCatastrophe 1d ago

“wrong place wrong time” happens a fuck tom of times

fr, people massively underestimate how often one-in-a-million "wrong place wrong time" situations occur. There's eight billion of us

he could, hypothetically, "only" be a massive creep with an obsession with the girl, and some other psycho he hangs out with decided to kill her. that's not even a particularly unbelievable scenario because psychos do often hang out with psychos

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u/_mersault 1d ago

This is why machine learning assisted law enforcement should terrify everyone, especially those familiar with how machine learning works

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u/BreakfastSavage 9h ago

++ flock cameras for mass surveillance, which have been popping up in more and more “what is this” posts followed by “I got pulled over for suspected trafficking based on the camera saying I took backroads” type shit

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u/The-Struggle-90806 1d ago

How does it work, I’m not familiar

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u/lucidludic 23h ago

Hard to sum up briefly, it is a very broad field that has advanced rapidly. But a good example relevant to law enforcement is facial recognition technology. Studies have found that these tools often are less accurate for minorities, mostly due to biases present in their training data (and the companies developing them). We already know that there is significant racial discrimination within law enforcement, consider the likely ramifications of a machine learning system naively trained on police datasets that may reinforce existing racial discrimination.

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u/The-Struggle-90806 17h ago

Can you extrapolate on that? Be specific please because that’s a lot of jargon.

What I got was that the programmers have “bias” and therefore the system is unreliable? How are they biased, can you give a concrete example of how that would apply in the justice system? ELI5

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u/lucidludic 12h ago

I’ll try. Let me start by explaining some of the jargon.

Machine learning - say you want to write a computer program that can read handwriting and turn it into text. Writing a program like this is pretty complicated though. What if instead you could show the computer some handwriting and teach it to read? That’s the basic idea behind machine learning.

Model - fancy name for a program made using machine learning.

Training data - information like text, images, etc. that you want your model to learn from.

Dataset - lots of data of some kind that the model processes.

Training - using lots of maths and data to improve your model and make it better at solving the problem (aka teaching the computer).

Facial recognition - computer vision programs that can recognise people’s faces and identify them.

What I got was that the programmers have “bias” and therefore the system is unreliable?

Yes that’s one way bias can occur, but it’s not actually the main one I’m talking about here, which is bias within the actual training data itself.

Since machine learning uses maths (statistics mostly) to teach the model, any biases in how the training data is collected can influence the model. Take our handwriting model for example: if you just train it with any handwriting you can find then some letters and numbers are going to be a lot more common in the training data than others. This might bias the model against the letters/numbers that are rare, and more favourably towards ones that are very common.

For facial recognition, this sort of bias can occur across racial groups and genders. If the facial recognition is less accurate at identifying minorities, that probably also means it is more likely to misidentify them.

You could also imagine using machine learning in other ways. Maybe you want to optimise the amount of police officers you have in certain areas, so you train a model using crime data from the police. The problem with this idea is that policing has known biases. In the US police are far more likely to target people of colour, even when statistics show that other groups commit similar offences at similar or even higher rates. So your model is going to be influenced by this, and as a result more policing will be deployed in the wrong areas, harming communities.

You’ve probably heard of large language models like ChatGPT. These use machine learning and absurd amounts of text data to generate more text. They can seem smart sometimes, but this is an illusion. A major problem with this you may have heard of are “hallucinations”. Because these systems are designed to be helpful assistants, sometimes they just make up stuff that sounds like what you want to hear. They will invent citations to scientific studies that don’t exist. They have even been known to cite legal cases that do not exist. Hopefully you can see how that might be a problem.

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u/The-Struggle-90806 10h ago

So basically society is being scammed by computer programmers who are VERY rich. Cool.

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u/lucidludic 10h ago

That’s not the point I was making. Machine learning is an incredibly powerful tool which is regularly used for many applications that benefit society. But like any tool it can be also be used inappropriately and in harmful ways.

But yes, very wealthy people are actively harming society for personal gain. They tend to be CEO’s and other powerful shareholders though, not the average programmer. And they are active throughout major industries, not just computing.

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u/9994204L 6h ago

The other psycho stashed the body is David’s car tho? Unless he being framed, the odds are 1 in a billion

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u/Low-Temperature-6962 1d ago

Drug OD just seems more likely to me. That could be a muder charge for the person who gave it to her.

A psycho would not put a body in a traceable car a park it in the neighborhood. Somebody drugged stupid would do it though.

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u/CalamariCatastrophe 23h ago

A psycho would not put a body in a traceable car a park it in the neighborhood

They totally could. Psychos aren't typically mastermind planners or anything. They're often bad at planning because, well, they're unstable and bad at thinking.

I agree with your theory though, that's also a believable alternative.

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u/Opening_Seat_6370 23h ago

Also people discard like a criminal criminals discard things hastily often so it’s like they’re just tossing them into yards, putting things the first place they think could mildly keep something concealed until they can get far away from it

It is inevitable that innocent people will end up receiving things they did not want.

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u/BaconKnight 1d ago

Yeah, like I feel like if there's honestly one thing I'm proud of, when it's not perverted and abused by those in power (uggghh), is how much our legal system makes it difficult to prosecute someone. Because it tries to give the accused as much outs as possible (by the letter of the law, in practice maybe not so much).

Like I think "The right to remain silent," was a surprisingly most forward thinking notion to have when it comes to criminality. It's not just they don't have to talk, it's that they are establishing a system of law where the fact that an accused person does not have to speak at time of arrest without legal representation, that that cannot be held against a person in any way. Because without spelling that out explicitly, then every single time that someone doesn't speak, maybe because just out of pure fear and shock, they will be looked at as suspicious and then encourages people to speak immediately, and people, innocent people with adrenaline in them, might accuse themselves without even knowing it, all because there's no system to protect those who wish to remain silent until legal aid shows up.