You didn't use photos as evidence. You used the lack of results in a Google image search as evidence. Absence of evidence isn't evidence of absence and a single Google image search isn't a very thorough search for evidence to begin with.
Also Genocide doesn't imply killing. There are forms of genocide that doesn't involve mass murder.
Lol at the way you conceptualize evidence. Also lol at the way that you don't know what genocide is.
That's not how suburbs work. Suburbs aren't about municipalities - they're about zoning and proximity to an urban area. You clearly don't know what you're talking about and want to disagree with people who have first hand experience, so I'm not going to argue with you about this. Have a good one
~~Yes. Long Island is New York City. I lived there and my address said New York, New York.~~
I brain farted. I lived in Staten Island, but the point stands. Staten Island is a suburb of New York and is in New York. My current living situation is identical with respect to my current major city. I live in a suburb, but my address says the name of the major city.
What do you mean? Almost every major city has suburbs (at least in my country). I live in one of the top ten most populous cities in the US and I live in the suburbs.
sets a dangerous precedent where the government knows better than the markets
Wtf. You could say this about literally any law. Outlawing murder-for-hire sets a dangerous precedent where the government knows better than the markets. Making people pay income tax sets a dangerous precedent where the government knows better than the markets. Speed limits set a dangerous precedent where the government knows better than the markets. What a terrible argument.
Something has already happened and they didn't touch my rates. I've been saving hundreds of dollars a year. I've saved well into the thousands of dollars at this point. I'm not saying the insurance companies are my friends and while I am better off using the tracker than not using it, that wasn't even my point. My point was that the trackers all function differently and some are better than others.
It's crazy how most of those programs work. The way my insurance handles it is way better. For example, no matter how bad you are at driving, they never raise the premiums above the normal rate, so it almost always makes sense to get the tracker from a finance perspective. (The only exception is that they will raise your rates if you drive farther in 6 months than you estimated on your initial application. The flip side is that they lower your rates if you don't drive very much. I only drive about 1000 miles every 6 months, so my premium is really low.) They also have a Bluetooth device that stays in your car that your phone must be connected to in order for it to record trip data, and if you happen to be riding as the passenger in the car, the app has an option that allows you to clarify for each trip that you weren't the driver. I was surprised to learn they aren't all like that.
Language parsing is a routine process that doesn't require AI and it's something we have been doing for decades. That phrase in no way plays into the hype of AI. Also, the weights may be random initially (though not uniformly random), but the way they are connected and relate to each other is not random. And after training, the weights are no longer random at all, so I don't see the point in bringing that up. Finally, machine learning models are not brute-force calculators. If they were, they would take billions of years to respond to even the simplest prompt because they would have to evaluate every possible response (even the nonsensical ones) before returning the best answer. They're better described as a greedy algorithm than a brute force algorithm.
I'm not going to get into an argument about whether these AIs understand anything, largely because I don't have a strong opinion on the matter, but also because that would require a definition of understanding which is an unsolved problem in philosophy. You can wax poetic about how humans are the only ones with true understanding and that LLMs are encoded in binary (which is somehow related to the point you're making in some unspecified way); however, your comment reveals how little you know about LLMs, machine learning, computer science, and the relevant philosophy in general. Your understanding of these AIs is just as shallow as those who claim that LLMs are intelligent agents of free will complete with conscious experience - you just happen to land closer to the mark.
Imaginary numbers are no more imaginary than real numbers. The name trips a lot of people up. If you want to call imaginary numbers "dark unicorns" then you really should say the same thing of the numbers 1, 2, and all other numbers as well.
You're thinking of topological closure. We're talking about algebraic closure; however, complex numbers are often described as the algebraic closure of the reals, not the irrationals. Also, the imaginary numbers (complex numbers with a real part of zero) are in no meaningful way isomorphic to the real numbers. Perhaps you could say their addition groups are isomorphic or that they are isomorphic as topological spaces, but that's about it. There isn't an isomorphism that preserves the whole structure of the reals - the imaginary numbers aren't even closed under multiplication, for example.
A vector space is a collection of vectors in which you can scale vectors and add vectors together such that the scaling and addition operations satisfy some nice relationships. The 2D and 3D vectors that we are used to are common examples. A less common example is polynomials. It's hard to think of a polynomial as having a direction and a magnitude, but it's easy to think of polynomials as elements of the vector space of polynomials.