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Amazon is reportedly training humanoid robots to deliver packages

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  • datacenter liquid cooling solution

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    And air doesn’t leak all over your electronics. Well it does but it doesn’t short anything out.
  • OpenAI’s Sam Altman warns of AI voice fraud crisis in banking

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    I'm not that gifted... in a lot of ways. lol
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    TIL, thank you!
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    They are examples of complex and difficult tasks that humans are capable of when working together, implying through comparison reordering society is also achievable.
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    It's clear you don't really understand the wider context and how historically hard these tasks have been. I've been doing this for a decade and the fact that these foundational models can be pretrained on unrelated things then jump that generalization gap so easily (within reason) is amazing. You just see the end result of corporate uses in the news, but this technology is used in every aspect of science and life in general (source: I do this for many important applications).
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    a subtle edit resolving a duplicate reference in a way that removes displays from the list of parts that must be replaceable by a layperson with basic tools That's fucking significant change, considering probably even more smartphones become ewaste from cracked screens than anything else by a long shot...
  • 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.
  • Microsoft pulls MS365 Business Premium from nonprofits

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    That's the thing, I wish we could just switch all enterprises to Linux, but Microsoft developed a huge ecosystem that really does have good features. Unless something comparable comes up in the Linux world, I don't see Europe becoming independent of Microsoft any time soon