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Operation Narnia: Iran’s nuclear scientists reportedly killed simultaneously using special weapon

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  • Album 'Hysteria' Out Now

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  • For All That Is Good About Humankind, Ban Smartphones

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    Appreciated, but do you think the authorities want to win the war on drugs?
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    Was it Biden? Obama?
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    Okay, I'd be interested to hear what you think is wrong with this, because I'm pretty sure it's more or less correct. Some sources for you to help you understand these concepts a bit better: What DLSS is and how it works as a starter: https://en.wikipedia.org/wiki/Deep_Learning_Super_Sampling Issues with modern "optimization", including DLSS: https://www.youtube.com/watch?v=lJu_DgCHfx4 TAA comparisons (yes, biased, but accurate): https://old.reddit.com/r/FuckTAA/comments/1e7ozv0/rfucktaa_resource/
  • X/Twitter Pause Encrypted DMs.

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    There may be several reasons for this. If I had to guess, they found a critical flaw and had to shut it down for security reasons.
  • AI cheating surge pushes schools into chaos

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    Sorry for the late reply, I had to sit and think on this one for a little bit. I think there are would be a few things going on when it comes to designing a course to teach critical thinking, nuances, and originality; and they each have their own requirements. For critical thinking: The main goal is to provide students with a toolbelt for solving various problems. Then instilling the habit of always asking "does this match the expected outcome? What was I expecting?". So usually courses will be setup so students learn about a tool, practice using the tool, then have a culminating assignment on using all the tools. Ideally, the problems students face at the end require multiple tools to solve. Nuance mainly naturally comes with exposure to the material from a professional - The way a mechanical engineer may describe building a desk will probably differ greatly compared to a fantasy author. You can also explain definitions and industry standards; but thats really dry. So I try to teach nuances via definitions by mixing in the weird nuances as much as possible with jokes. Then for originality; I've realized I dont actually look for an original idea; but something creative. In a classroom setting, you're usually learning new things about a subject so a student's knowledge of that space is usually very limited. Thus, an idea that they've never heard about may be original to them, but common for an industry expert. For teaching originality creativity, I usually provide time to be creative & think, and provide open ended questions as prompts to explore ideas. My courses that require originality usually have it as a part of the culminating assignment at the end where they can apply their knowledge. I'll also add in time where students can come to me with preliminary ideas and I can provide feedback on whether or not it passes the creative threshold. Not all ideas are original, but I sometimes give a bit of slack if its creative enough. The amount of course overhauling to get around AI really depends on the material being taught. For example, in programming - you teach critical thinking by always testing your code, even with parameters that don't make sense. For example: Try to add 123 + "skibbidy", and see what the program does.
  • OpenAI plans massive UAE data center project

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    TD Cowen (which is basically the US arm of one of the largest Canadian investment banks) did an extensive report on the state of AI investment. What they found was that despite all their big claims about the future of AI, Microsoft were quietly allowing letters of intent for billions of dollars worth of new compute capacity to expire. Basically, scrapping future plans for expansion, but in a way that's not showy and doesn't require any kind of big announcement. The equivalent of promising to be at the party and then just not showing up. Not long after this reporting came out, it got confirmed by Microsoft, and not long after it came out that Amazon was doing the same thing. Ed Zitron has a really good write up on it; https://www.wheresyoured.at/power-cut/ Amazon isn't the big surprise, they've always been the most cautious of the big players on the whole AI thing. Microsoft on the other hand are very much trying to play things both ways. They know AI is fucked, which is why they're scaling back, but they've also invested a lot of money into their OpenAI partnership so now they have to justify that expenditure which means convincing investors that consumers absolutely love their AI products and are desparate for more. As always, follow the money. Stuff like the three mile island thing is mostly just applying for permits and so on at this point. Relatively small investments. As soon as it comes to big money hitting the table, they're pulling back. That's how you know how they really feel.
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    If you want to stay on the bleeding edge you've got to be a reversal of Europe, which means allowing innovation and competition. Hence why VT is nearly 70% US.