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Massive internet outage reported: Google services, Cloudflare, Character.AI among dozens of services impacted

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  • Anthem Demo - Napster plus Distributed Machine Learning

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    Does anybody know of a resource that's compiled known to be affected system or motherboard models using this specific BMC? Eclypsium said the line of vulnerable AMI MegaRAC devices uses an interface known as Redfish. Server makers known to use these products include AMD, Ampere Computing, ASRock, ARM, Fujitsu, Gigabyte, Huawei, Nvidia, Supermicro, and Qualcomm. Some, but not all, of these vendors have released patches for their wares.
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    theoretically software support This. And it's not only due to drivers and much more due to them not having insourced software development and their outsourced developers not using Fairphones as their daily drivers.
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    This is interesting to me as I like to say the llms are basically another abstraction of search. Initially it was links with no real weight that had to be gone through and then various algorithms weighted the return, then the results started giving a small blurb so one did not have to follow every link, and now your basically getting a report which should have references to the sources. I would like to see this looking at how folks engage with an llm. Basically my guess is if one treats the llm as a helper and collaborates to create the product that they will remember more than if they treat it as a servant and just instructs them to do it and takes the output as is.
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  • 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.
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