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Schools are using AI to spy on students and some are getting arrested for misinterpreted jokes and private conversations

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  • How Wikipedia is fighting AI slop content

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    They are constantly changing, but one could probably get pretty far focusing on ChatGPT (which is what most "lazy" authors use). And there are already efforts in this domain from the community, see the "slop" profiles in EQ bench: https://eqbench.com/creative_writing.html Traditional LLMs would be better suited (ironically) for fact checking, eg they check for citations, then go to follow the links and see if it matches the text. They're also much better at "checking" for sanity than actually writing it out. An obviously this would just be a first pass for a person to quickly confirm.
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    How are you going to evaluate long term effects without practical experiments? They clearly have the money and its much easier and efficient to launch a real MVP than to design a complex set of simulations and tests.
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    We're not just doing this for money. We're doing it for a SHITLOAD of money!
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  • There's no chance he signs it but I still hope he does

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    And they've been doing it more blatantly and for longer than most tech companies.
  • 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.