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Comment by morkalork | Hacker News Reader

Pretty much the perfect use case for AI. Take a repetative job (visually scanning images) that was probably done by dozens of analysts before, automate it, and have those analysts be 100x more productive checking the results. If I were a militant I'd be investing in circus tents or some other completely out-of-distribution type of camouflage.

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The article seems to seamlessly go from "computer vision" to "AI" which is an extremely loaded term from the last few years. It feels like the tech could be basically: align two photos separated by a day/week/month, do a difference. Repeat that for tens of thousands of square kilometers.

I'd call that "computer vision". If I explain that to a layperson, I might accidentally say AI, then they think ChatGPT, ..., Skynet, Terminator.

Disregarding fictional things... The idea that computer vision and LLMs are different categories of thing is false, either being called AI is a result of marketing.

They are called AI because that is the name of the broader field that encompasses them

They are Machine Learning, a, so far, unsuccessful attempt at AI.

They aren't AI which is why the phrase "True AI" is so commonly used.

The term you are looking for is AGI, never heard of "true ai". And if machine learning failed, why are we using so much it in everyday life?

ML failed to produce AI, it's not a failure.

AGI is distinct from AI in that one is general and one is not. If you create an AI that can discover new mathematics but it can't write a paper about it, it's not AGI.

We have AI that can and has produced new mathematics. I don't understand what you think AI is. Machine learning enables computers to make decisions about things without explicit programing, and it is done by learning from data. It is a sort of intelligence, if not to the degree that we want (yet).

I agree with your distinction between AI and AGI. Hasn't ML failed to produce AGI, but been wildly successful in producing AI?

What you call AGI now is what I used to call AI and ML was just ML and statistics to me. But now AI can be everything from hidden markov chains to the computer player in a game as long as it makes a decision or prediction in some kind of of process, no matter how dumb. I gave up arguing about it long ago.

If you use Deep Neural Nets, even for Computer Vision, it's still Deep Learning, and can be categorized as AI.

See you guus are stupid, theyre gonna be looking for Army guys

I hear underground tunnels are popular.

Which makes AI analytics on vegetation indexes, thermal imaging from dwell sensors, EM overpass surveys, and foot|vehicle traffic monitoring all the more attractive.

When a battalion disapears into an outside toilet that endpoints a line of changed vegetation that glows hot at night, chances are somethings up^H^H down.

Because common AI attacks like data poisoning and model drift are a thing of the distant past...

This is a horrible idea. When presented with a potential target, you're already biased to see an excuse to take human life. What happens when a person gets burnt out?

What happens when a person gets burnt out and makes mistakes?

Like this? https://en.wikipedia.org/wiki/United_States_bombing_of_the_C...

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