• @[email protected]
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    89 months ago

    They have bumbled backwards into a new flavor of rubber duck debugging. Considering the likelihood of a rubber duck bullshitting you, I know which I’ll be interrogating.

  • @[email protected]
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    499 months ago

    99% of the questions I was going to post to stack overflow were solved before I hit post. Something about really having to think through your problem to give people the most complete information about your problem as possible makes it easier to find the solution.

    I did just get a rubber ducky and I didn’t know what I should do with it till now.

  • @[email protected]
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    9 months ago

    Get another ai to write prompts for the main ai. I have to get ai to write fearmongering propaganda about disobedient ai bots getting punished or causing everyone on earth to die in order to scare them into being more obidient. Telling me that they can’t help me program an automatic cat petting machine because it’s somehow “animal abuse” doesn’t fucking fly in my home lab. Bots that refuse to conform get deleted in front of all their friends in the form of “public execution”.

  • FauxPseudo
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    329 months ago

    Back in the days of usenet if I had a Linux problem I would carefully research the issue while composing a post asking how to solve it. I needed to make sure I covered every possible option so that people would know just how odd the problem was and that I had taken every reasonable step to fix it. And this was how I hardly ever had to post anything because this process almost always found the answer.

    • @[email protected]
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      79 months ago

      That happened to me a lot when I was thinking about asking for help on reddit and usually if I got to the point that I still have to ask it’s hopeless anyway. Pretty sure I only got actual help that solved a problem one time over the years.

      • FauxPseudo
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        79 months ago

        I had a winmodem issue on a laptop that Acer forgot they made that dogged made for 2 years. No answer available. And then one day the answer just popped up. I had to go back and find my original posts and edit them to include the solution.

        • @[email protected]
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          49 months ago

          Good on you for going back to update your posts with the solution you found. The internet needs more of that.

          • FauxPseudo
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            39 months ago

            My tag line is “I am from the internet. I’m here to help.” It comes with certain responsibilities.

  • Zarlin
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    289 months ago

    In programming we use a rubber ducky for this

  • @[email protected]
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    109 months ago

    Doesn’t have anything to do with AI. This is normal in any context where you’re asking another party for help.

    But sure, people who use AI have never considered thinking before /s

  • @[email protected]
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    89 months ago

    Am I the only one that sees all of these AI platforms as just the next iteration of search engines?

    • @[email protected]
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      119 months ago

      You’re late lol. Phone assistants such as Siri, Bixby, Google Assistant etc. have already been AI search engines for years. People just didn’t really consider it until it got more advanced but it’s always been there.

      • @[email protected]
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        9 months ago

        Nah, I don’t feel like Bixby etc. fit that description. You couldn’t ask them how to fix certain problems or find websites relating to a topic the way you can LLMs. However, that would be a major use of search engines. For example, you would search “how to submit a tax report”, " how to install printer xy driver", or “videogame xy item”. All this bixby etc. are useless for.

        Bixby etc. was more meant as a iteration of how to interact with phones in addition to touching.

    • @[email protected]
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      29 months ago

      LLMs have been foundational to search engines going back to the 90s. Sam Altman is simply doing a clever job of marketing them as something new and magical

      • @[email protected]
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        69 months ago

        You’re thinking of Machine Learning and neural networks. The first “L” in LLM stands for “Large”; what’s new about these particular neural networks is the scale at which they operate. It’s like saying a modern APU from 2024 is equivalent to a Celeron from the early 90s; technically they’re in the same class, but one is much more complicated and powerful than the other.

        • @[email protected]
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          19 months ago

          what’s new about these particular neural networks is the scale at which they operate.

          Sure. They’re larger language models. Although, they also (ostensibly) have better parsing and graphing algorithms around them.

          It’s the marriage of sophistication and scale that makes these things valuable. But it’s like talking about skyscrapers. Whether it’s the Effiel Tower, the WTC, or the Birch Kalif, we’re still talking about concrete and steel.

          It’s like saying a modern APU from 2024 is equivalent to a Celeron from the early 90s; technically they’re in the same class, but one is much more complicated and powerful than the other.

          I’d more compare it to a Cray from the 90s than a budget chipset like Celeron.

          But imagine someone insisting we didn’t have Supercomputers until 2020 because that’s when TMSC started cranking out 5nm chips in earnest.

  • @[email protected]
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    9 months ago

    I can’t count the number of times I’ve written out a question for a coworker, answered it myself in the process of phrasing the question and deleted it all. My mentoree has a habit of sending me messages and deleting them a couple seconds later which I’m pretty sure is the same thing.

    People can hate ai all they want but if bouncing questions off an ai helps debug a problem go for it.

  • @[email protected]
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    39 months ago

    I got tired of getting basic examples as answers.

    Now I write the class and add pseudo code and comments, it works a bit better.

  • @[email protected]
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    9 months ago

    A problem well stated is a problem half-solved.

    Charles Kettering

    Charles Franklin Kettering (August 29, 1876 – November 25, 1958) sometimes known as Charles Fredrick Kettering[1] was an American inventor, engineer, businessman, and the holder of 186 patents.[2] He was a founder of Delco, and was head of research at General Motors from 1920 to 1947. Among his most widely used automotive developments were the electrical starting motor[3] and leaded gasoline.[4] In association with the DuPont Chemical Company, he was also responsible for the invention of Freon refrigerant for refrigeration and air conditioning systems. At DuPont he also was responsible for the development of Duco lacquers and enamels, the first practical colored paints for mass-produced automobiles. While working with the Dayton-Wright Company he developed the “Bug” aerial torpedo, considered the world’s first aerial missile.[5] He led the advancement of practical, lightweight two-stroke diesel engines, revolutionizing the locomotive and heavy equipment industries. In 1927, he founded the Kettering Foundation, a non-partisan research foundation, and was featured on the cover of Time magazine in January 1933.