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Trump Mobile launches $47 service and a gold phone

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  • Sunny Days Are Warm: Why LinkedIn Rewards Mediocrity

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    Yup, just let me apply for jobs.
  • Adding Audio to Your Ebitengine Game (Tutorial)

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    This video complements the text tutorial at https://trevors-tutorials.com/0007-adding-audio-to-your-ebitengine-game/ Trevors-Tutorials.com is where you can find free programming tutorials. The focus is on Go and Ebitengine game development. Watch the channel introduction for more info.
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    Give us the money or we fucks you up.
  • EU Gives Platforms 12 Months to Deploy 'Strict' Age Verification

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    cygnus@lemmy.caC
    I hate that they get to label this a "hack". It was sheer negligence - they stored these images in an unsecured bucket.
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    AI has some use but it always needs human oversight and the final decision must also be made by a human professional. If you use AI to speed up tasks and you know whether the output of the AI is valid or not, and you have the final decision, then you can safely use it. But if you let AI decide on and execute important tasks basically autonomously, then you have a recipe for disaster. Fully autonomous and mistake-free AI is a naive pipe dream which I don't see on the horizon at all.
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    Niemand hat geantwortet
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    A fairer comparison would be Eliza vs ChatGPT.
  • 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.