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It all started with fake frames, now its evolving onto fake graphics? Imagine if FSR, XeSS and PSSR started embracing this kind of upscaling. In the same game, you will have different looking outputs for every different upscaler because these AI models wont be trained on the same data....

42,006 views • 3 months ago •via X (Twitter)

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Peter Thiel on $NVDA (about a year ago): It is probably quite tricky. If you had to concretize it, one thing that is very strange is if you just follow the money, at this point 80 to 85% of the money in AI is being made by one company, it is NVIDIA. It is all on this very weird hardware layer, which Silicon Valley does not even know very much about anymore. We do not really do hardware, we do not do silicon chips in Silicon Valley anymore. I get pitched on these companies once every three or four years, and it is always, I have no clue how to do this, it sounds like a pretty good idea, but man, I have no clue, and we never invest. There is this theory that the hardware piece makes the money initially, then gets more commodified over time, and it will shift to software. And the, I do not know, multi trillion dollar question is whether that is going to be true again this time, or whether NVIDIA will have this incredible monopoly. I suspect NVIDIA will. I think it will maintain its position for a while. I think the game theory on it is something like this. All the big tech companies are going to start trying to design their own AI chips so they do not have to pay the 10x markup to NVIDIA. How hard is it for them to do it? How long will it take? If they all do it, then the chips become a commodity and nobody makes money in chips. So do you go into hardware? You should do it if nobody else is doing it. If everybody does it, you should not do it. I am not sure how that nets out, but probably people stay stuck for a while and NVIDIA goes from strength to strength for a while.

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Jacob Tierney discusses his process for writing Heated Rivalry and outlining season two: "The book [Heated Rivalry] is in five parts and very quickly I was like, part one, episode one. Part two, episode two. It was very clear to me. …So in this case, I actually did not outline. Because I was just using these parts of this book, and I knew these books so well at this point. Something that I did, and that I'm trying to do again now when I'm writing the new season, is I'm trying to use—Because there's a dreaminess to this show, I try to use my memory as a guide. I'm like, what do I remember? And then I try to give primacy to the stuff that I remember and that has stuck in my brain all these years with this story. So I’m like, oh I have to do that! And that's a nice way for me to kind of center things. Where if I have to do that, then it means maybe I don't have to do this, and it maybe means I want to combine or collapse different things. Because if this is going to take up—If one incident that I'm thinking of is going to take up the space in an episode that I think of as the heart, …then you don't need to do a first version of it in the same way, you know? Little things like that. That being said, for this season because I'm working with a co-writer as well, we have outlined everything. And every time, I do approach outlining like a teenager, where I'm like, [modulates voice] I don't want to. But then when I do it, I'm always like, why don't I always do this? It makes everything so much easier. So I kind of gaslight myself in that way." ✍🏼 transcription via Heated Rivalry News & Updates. Please credit if reposting. 🗣️ quote via q&a with Stage 32 on March 24, 2026. 🔗

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.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

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