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

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    The AI only needs to alert the doctor that something is off and should be tested for. It does not replace doctors, but augments them. It's actually a great use for AI, it's just not what we think of as AI in a post-LLM world. The medically useful AI is pattern recognition. LLMs may also help doctors if they need a starting point into researching something weird and obscure, but ChatGPT isn't being used for diagnosing patients, nor is anything any AI says the "final verdict". It's just a tool to improve early detection of disorders, or it might point someone towards an useful article or book.
  • JavaScript™ Trademark Update | Deno

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    Godspeed Deno and mandatory fuck Oracle
  • AI Pressure from the Top: CEOs Urge Workers to Adapt

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  • How to store data on paper?

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    This has to be a shitpost. Transportation of paper-stored data You can take the sheets with you, send them by post, or even attach them to homing pigeons
  • 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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    Take a longer text (like 70 pages or so) and try to delete the first 30 pages.
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