That is not how Hispanic is used in the dataset. Just read the methodology for crying out loud.
That is not how Hispanic is used in the dataset. Just read the methodology for crying out loud.
Not unless someone methodologically captures all the accounts through interviews and surveys and turns it into one.
I agree that anecdotes aren’t worthless, but for different reasons. There’s actually a saying that goes, “the plural of anecdote isn’t data.” Anecdotes are just stories. They aren’t data points and they aren’t peer reviewed. If you want to turn anecdotes into data, you have to do the proper interviews and surveys to actually build a dataset and then get the peer review, but at that point we aren’t talking about anecdotes anymore.
Ah. That makes sense. Thanks for the explanation!
Not sure I understand. Are you agreeing that the moon landing happened but you also claim the footage is faked? Do you have any reasons to support that? You mention something about radio technology from the 1920s, but the moon landing occurred nearly 50 years later, so I hardly see how that is relevant.
Edit: I misread your comment. Thanks to @[email protected] for pointing it out.
Yeah, I’m gonna need more than your incredulity to convince me. Like, fun that you think it is inconceivable, but your inability to imagine has no bearing on reality. Especially when there is plenty of evidence to suggest they actually filmed and broadcasted it live. For example, the fact that a live television broadcast was a primary goal of the mission, or the fact that RCA made custom TV cameras for the Apollo program , or that the broadcast lasted for hours, or any of the analyses out there that shows the video is likely real. Also, no one suggested that the Apollo astronauts had a camera crew with them - what a bizarre thing to mention.
Uber Black drivers are commercially licensed in addition to satisfying a bunch of other requirements.
Housing is taxed at the value of the property, not the difference between the value of the property and the purchase price.
Why stop there? They’re just as real as any number.
Just say you recently came into some inheritance and that you are looking into investment opportunities. Then they will expect you to be out of your element, so you won’t need to try to pretend you’re someone you’re not. If they ask about the inheritance, say your grandfather made a fortune selling lumber or something boring like that.
I heard it was supposed to be human body temperature, but they used horse body temperature instead because it was close to human body temperature but more… stable.
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.
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.
You’re reducing things to a single issue and have the gall to say my political world is narrow. You’re unreal.
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.
It’s funny you say the philosophy is simple when strategic voting requires multiple layers of analysis and voting for bubblegum ice cream just amounts to what feels good. You can’t bring yourself to accept the reality of the situation, so you pretend like the problem is easy to solve if you just ignore it. That’s truly simple minded. Pathetic projection on your part.
Doesn’t matter where the track leads if the trolley can’t get to it. It could lead to rainbows and sunshine, but that isn’t where the trolley is headed because there is no possibility that someone other than Trump or Biden is elected president. A few cry babies voting third party won’t get some third person elected. A vote for the third track is a vote for a track that will not be ridden.
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.
Okay. That’s a very convincing analogy. Thanks for the thought out response. Forgive me for being rude.