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AI Police Reports: Year in Review

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111–120 of 224 posts

Re: AI Police Reports: Year in Review

#111

Earlier quoted context omitted.

Such innocent mistakes make me smile these days because it gives assurance a real human wrote them.

Don't worry sufficiently advanced LLMs will learn how to put in the right amount of typoes to be convincing.

*typos

Oh you got me

Re: AI Police Reports: Year in Review

#112
post #103

Earlier quoted context omitted.

Man, what are we supposed to do with people who think the above?

>ChatGPT (o3): Scored 136 on the Mensa Norway IQ test in April 2025 If you don't want to believe it, you need to change the goal posts; Create a test for intelligence that we can pass better than AI.. since AI is also better at creating test than us maybe we could ask AI to do it, hang on.. >Is there a test that in some way measures intelligence, but that humans generally test better than AI? Answer:Thinking, Somethi…

To be intelligent is to realise that any test for intelligence is at best a proxy for some parts of it. There's no objective way to measure intelligence as a whole, we can't even objectively define intelligence.

Re: AI Police Reports: Year in Review

#113
post #32

I find this article strange in its logic. If the use of AI generated content is problematic as a principle I can understand the conflict. Then no AI should be used to "transcribe and interpret a video" at all - period. But if the concern is accuracy in the AI "transcript" and not the support from AI as such, isn't it a good thing that the AI generated text is deleted after the officer has processed the text and final…

>That said, I believe it is important to aknowlegde the fact that human memory, experience and interpretation of "what really happened" is flawed, isn't that why the body cameras are in use in the first place? If everyone believed police officers already where able to recall the absolute thruth of everything that happens in situations, why bother with the cameras?

Police tend to not tell the truth, on purpose.

Re: AI Police Reports: Year in Review

#114
post #32

I find this article strange in its logic. If the use of AI generated content is problematic as a principle I can understand the conflict. Then no AI should be used to "transcribe and interpret a video" at all - period. But if the concern is accuracy in the AI "transcript" and not the support from AI as such, isn't it a good thing that the AI generated text is deleted after the officer has processed the text and final…

The EFF's angle is that the police can use an LLM's initial report maliciously to 1) let incriminating inaccuracies generated by the LLM stand or 2) fabricate incriminating inaccuracies. Afterwards, because the LLM generated the initial report, the officer would have plausible deniability to say they themselves didn't intentionally lie, they were just negligent in editing the initial report. So it's about accountability washing.

Re: AI Police Reports: Year in Review

#115

What worries me is that _a lot of people seem to see LLMs as smarter than themselves_ and anthropmorphize them into a sort of human-exact intelligence. The worst-case scenario of Utah's law is that when the disclaimer is added that the report is generated by AI, enough jurists begin to associate that with "likely more correct than not".

AI is smarter than everyone already. Seriously, the breadth of knowledge the AI possesses has no human counterpart.

It's like saying google search is smarter than everyone, amount of information indexed by it has no human counterpart, such a silly take...

Re: AI Police Reports: Year in Review

#116
post #103

Earlier quoted context omitted.

Man, what are we supposed to do with people who think the above?

>ChatGPT (o3): Scored 136 on the Mensa Norway IQ test in April 2025 If you don't want to believe it, you need to change the goal posts; Create a test for intelligence that we can pass better than AI.. since AI is also better at creating test than us maybe we could ask AI to do it, hang on.. >Is there a test that in some way measures intelligence, but that humans generally test better than AI? Answer:Thinking, Somethi…

>Create a test for intelligence that we can pass better than AI

Easy? The best LLMs score 40% on Butter-Bench [1], while the mean human score is 95%. LLMs struggled the most with multi-step spatial planning and social understanding.

[1] https://arxiv.org/pdf/2510.21860v1

Re: AI Police Reports: Year in Review

#117

What worries me is that _a lot of people seem to see LLMs as smarter than themselves_ and anthropmorphize them into a sort of human-exact intelligence. The worst-case scenario of Utah's law is that when the disclaimer is added that the report is generated by AI, enough jurists begin to associate that with "likely more correct than not".

> a lot of people seem to see LLMs as smarter than themselves

I think the anthropomorphizing part is what messes with people. Is the autocomplete in my IDE smarter than I am? What about the search box on Google? What about a hammer or a drill?

Yet, I will admit that most of the time I hear people complaining about how AI written code is worse than that produced by developers, but it just doesn't match my own experience - it's frankly better (with enough guidance and context, say 95% tokens in and 5% tokens out, across multiple models working on the same project to occasionally validate and improve/fix the output, alongside adequate tooling) than what a lot of the people I know could or frankly do produce in practice.

That's a lot of conditions, but I think it's the same with the chat format - people accepting unvalidated drivel as fact, or someone using the web search and parsing documents and bringing up additional information that's found as a consequence of the conversation, bringing in external data and making use of the LLM ability to churn through a lot of it, sometimes better than the human reading comprehension would.

Re: AI Police Reports: Year in Review

#118

Earlier quoted context omitted.

It's not certain that LLMs don't do this already—it's likely their doing this even now.

That’s —— not just —— possible— it’s —— ——— probable!!!

I read this phrase in a Spiderman comic, probably 1990 +/- 5 years. If memory serves Harry Osborne said it to Peter Parker, something regarding Norman Osborne's activity as the Green Goblin. Anyway, it's one of those phases that immediately etched itself into my brain and replays itself whenever the situation seems appropriate. I've always wondered if the quote had a more respectable original source, but haven't been able to find one.

Re: AI Police Reports: Year in Review

#119

What worries me is that _a lot of people seem to see LLMs as smarter than themselves_ and anthropmorphize them into a sort of human-exact intelligence. The worst-case scenario of Utah's law is that when the disclaimer is added that the report is generated by AI, enough jurists begin to associate that with "likely more correct than not".

AI is smarter than everyone already. Seriously, the breadth of knowledge the AI possesses has no human counterpart.

  > the breadth of knowledge
knowledge != intelligence

If knowledge == intelligence then Google and Wikipedia are "smarter" than you and the AGI problem has been solved for several decades.

Re: AI Police Reports: Year in Review

#120
post #60

Earlier quoted context omitted.

As far as I can tell from poking people on HN about what "AGI" means, there might be a general belief that the median human is not intelligent. Given that the current batch of models apparently isn't AGI I'm struggling to see a clean test of what AGI might be that a human can pass.

LLMs may appear to do well on certain programming tasks on which they are trained intensively, but they are incredibly weak. If you try to use an LLM to generate, for example, a story, you will find that it will make unimaginable mistakes. If you ask an LLM to analyze a conversation from the internet it will misrepresent the positions of the participants, often restating things so that they mean something different o…

We do have AI systems that write stories [0]. They work. The quality might not be spectacular but if you've ever gone out and spent time reading fanfiction you'd have to agree there are a lot of rather terrible human writers too (bless them). It still hits this issue that if we want LLMs to compete with the best of humanity then they aren't there yet, but that means defining human intelligence as something that most people don't have access to.

> If you ask an LLM to analyze a conversation from the internet it will misrepresent the positions of the participants, often restating things so that they mean something different or making mistakes about who said what in a way that humans never do.

AI transcription & summary seems to be a strong point of the models so I don't know what exactly you're trying to get to with this one. If you have evidence for that I'd actually be quite interested because humans are so bad at representing what other people said on the internet it seems like it should be an easy win for an AI. Humans typically have some wild interpretations of what other people write that cannot be supported from what was written.

[0] https://github.com/google-deepmind/dramatron

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