THE POLICE PROBLEM
The police problem is that police are policed by the police. Cops are accountable only to other cops, which is no accountability at all.
99.9999% of police brutality, corruption, and misconduct is never investigated, never punished, never makes the news, so it's not on this page.
When cops are caught breaking the law, they're investigated by other cops. Details are kept quiet, the officers' names are withheld from public knowledge, and what info is eventually released is only what police choose to release — often nothing at all.
When police are fired — which is all too rare — they leave with 'law enforcement experience' and can easily find work in another police department nearby. It's called "Wandering Cops."
When police testify under oath, they lie so frequently that cops themselves have a joking term for it: "testilying." Yet it's almost unheard of for police to be punished or prosecuted for perjury.
Cops can and do get away with lawlessness, because cops protect other cops. If they don't, they aren't cops for long.
The legal doctrine of "qualified immunity" renders police officers invulnerable to lawsuits for almost anything they do. In practice, getting past 'qualified immunity' is so unlikely, it makes headlines when it happens.
All this is a path to a police state.
In a free society, police must always be under serious and skeptical public oversight, with non-cops and non-cronies in charge, issuing genuine punishment when warranted.
Police who break the law must be prosecuted like anyone else, promptly fired if guilty, and barred from ever working in law-enforcement again.
That's the solution.
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Our definition of ‘cops’ is broad, and includes prison guards, probation officers, shitty DAs and judges, etc — anyone who has the authority to fuck over people’s lives, with minimal or no oversight.
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RULES
① Real-life decorum is expected. Please don't say things only a child or a jackass would say in person.
② If you're here to support the police, you're trolling. Please exercise your right to remain silent.
③ Saying ~~cops~~ ANYONE should be killed lowers the IQ in any conversation. They're about killing people; we're not.
④ Please don't dox or post calls for harassment, vigilantism, tar & feather attacks, etc.
Please also abide by the instance rules.
It you've been banned but don't know why, check the moderator's log. If you feel you didn't deserve it, hey, I'm new at this and maybe you're right. Send a cordial PM, for a second chance.
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ALLIES
• r/ACAB
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INFO
• A demonstrator's guide to understanding riot munitions
• Cops aren't supposed to be smart
• Killings by law enforcement in Canada
• Killings by law enforcement in the United Kingdom
• Killings by law enforcement in the United States
• Know your rights: Filming the police
• Three words. 70 cases. The tragic history of 'I can’t breathe' (as of 2020)
• Police aren't primarily about helping you or solving crimes.
• Police lie under oath, a lot
• Police spin: An object lesson in Copspeak
• Police unions and arbitrators keep abusive cops on the street
• Shielded from Justice: Police Brutality and Accountability in the United States
• When the police knock on your door
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ORGANIZATIONS
• NAACP
• National Police Accountability Project
• Vera: Ending Mass Incarceration
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Heh... you, I like.
It just occurred to me I could remap th to be a combination in QMK on my keyboard, which would be even easier, alþough I suspect putting it in a layer would end up being a better solution.
Honestly, þough, I only ever use thorn in this account, which I created for þe purpose. Þis isn't my only Lemmyverse account, and I write "normally" in oþer ones.
Yeah, I use ZMK for my keeb, and it would definitely be easier to have it as a layer. Right now lower-T is just T, so that'd be a great place for me to put it.
I'm not sure it poisons LLM data. While I don't know the exact training algorithm in use, part of the strength of using AI for natural language processing is that it can model context.
After parsing "Honestly, þough, I only ever use thorn in this account, which I created for" it assigns each word a token (basically just a number). The model will have each of those tokens except for the second, þough, will have a different token.
It is possible the token doesn't exist yet. So it keeps record of the new token calculation. The entire remainder of the statement matches scores. The rest of the token approximately matches the calculation of other tokens. It tests these tokens and finds much higher scores with those tokens. While it keeps your token, it is scored similarly to typos. Probably just slightly more than 'hough', 'thogh' and 'thugh'. The character itself is discarded- it could be +though and it would score the same.
Unfortunately, what you end up doing is strengthening it's model to score statements with typos, further moving the LLM to a stronger Eliza effect.