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The detectors aren’t great but they aren’t really the issue. The fact that LLMs make it so easy to impersonate human communication is precisely the problem here. There cannot be a reliable way to identify if something is from a human or not. And the ease of access and low price makes using LLM generated content a no brainer, you have to actively go out of your way to produce human generated content.

We are building a future where human contact will be scarce

by embedding-shape7 hours ago|

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> We are building a future where human contact will be scarce

Yes, until you remember there is a world outside of the screen, where people build things with their hands, use their physically to play instruments for others, paint beautiful things for others to see physically and so much more.

"Humanness" online been dead for decades already, if you want humanness you need to step outside, or at least invite other humans home.

by dgellow7 hours ago|

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There is a meaningful difference between “humans online are tribalistic” and “content consumed by humans is generated by machines”. The IRL world isn’t safe either, books, newspapers, advertising, speeches are/will be heavily LLM made. Political parties are using LLMs. The IRL humans are relying on what their LLMs summarized or searched for them.

The same way the online world has never actually been that distinct from the offline world, one is merged with the other and they influence each others.

There has been of humanness online of you do not look for it on social medias. But that’s now breaking down, because we developed a technology designed to impersonate human communication

by embedding-shape7 hours ago|

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Right, what I was talking about things that generally aren't done by AI. People aren't building sculptures with AI, no graffiti is made with AI, the oil paintings you can see in galleries aren't AI, the DJ that fucks up during a performance isn't AI.

There is so much humanity in the world outside of the screen, and it's really easy to see what is authentically made, ignore the rest. Find live events with real other humans, there are a ton of them out there, doesn't really matter how people find the events, as long as we put our bodies in the same physical space.

by dgellow7 hours ago|

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I hope you’re right. Over the past month or so I personally started to feel really pessimistic about AI development. I really don’t know how much of those human spaces are safe from AI. Yes you can go to a drawing course or music festival and see human performances. But how do you then stay in contact with those people? The answer is very likely via software, meaning there is still this question of “am I interacting with a human? Or are they copy-pasting from ChatGPT?”. A friend you met shares a new song, is it really them playing or did they generate that track?

Just the fact that we have some level of doubt means we already lost something.

That being said, sure, live in the physical world and build social contacts. I’m all for it.

by lelandfe7 hours ago|

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So if these do not work, to what do you attribute the rising positive rate?

by embedding-shape7 hours ago|

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Humans writing more like LLMs, just like new LLMs write more like humans, it's all coalescing into one.

I've copied-pasted comments I made on HN from like 2020 and had it tell me it's "100% AI". I've seen examples where the services claim "100% AI" because there was no normal dashes, only em-dashes. Even have a recent example from HN itself: https://news.ycombinator.com/item?id=48165690

> This reads very AI. Pangram [0] agrees [1]. [0] Not perfect, but I think as good evidence as any: https://arxiv.org/pdf/2501.15654 [1] https://www.pangram.com/history/44cd07d3-ba94-4331-8c7f-a626...

Said Pangram report literally citing the single evidence of em-dashes...

by albumen7 hours ago|

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Your evidence seems very anecdata. The graphite.io study does make an effort to quantify the false positive and false negative rates of the three detectors, rather than just saying “they work”. They generate 2000 ai articles and ask the detectors to evaluate them, measuring the false negatives (articles falsely IDd as human written); and they use a separate pre-AI dataset (years 2000-2022) to determine false positives.

by embedding-shape7 hours ago|

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Yeah, I suppose it is, I haven't finished my dissertation on it yet, I'll get right on that :)

Throughout them being available I've tried them every now and then, both with AI generated trash and my own pre-LLM writings, and had about 0% success in getting them to accurately report what it actually is. Maybe my writing style and what specific LLM you use matters a lot, I'm sure these platform's training data is mostly from the mainstream models so as soon as you use anything else, they'll get trivially lost. But again, I don't have any evidence and proof behind this, based only on when I've tried to evaluate them myself in the past.

by My_Name7 hours ago|

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If you need an AI detector to figure out if something is AI or not, surely that means the AI is so good that there is no need to detect whether it is AI or not, because it is indistinguishable from writings by a human when read by humans?

by navs7 hours ago|

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I mean this is an article coming from an SEO company that's really just trying to advertise its services in the end. Their methodology seems very loose.

by tidewinner7 hours ago|

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Are you an AI agent trying to gaslight us?

by embedding-shape7 hours ago|

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Just a boring old organic human tired of other organic beings falling for obvious bullshit most likely made up by machines convincing humans with something like "you really have a neat idea here, the world will appreciate you making this into a product".