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Cake day: August 2nd, 2026

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  • Since that was a lazy question I decided to be lazy and just copy paste it into Gemini. Enjoy! I have no idea what the point of this is!

    Artificial Intelligence isn’t a single technology; it has been a massive umbrella term since the 1950s. Broadly, it means creating computer systems capable of performing tasks that typically require human intelligence.

    If LLMs are just one tiny branch on the tree, here is what the rest of the tree looks like:

    Machine Learning (ML): This is the engine driving most modern AI. Instead of a human programmer writing strict "if/then" rules, we feed the computer massive amounts of data and let it figure out the rules itself. This is what powers your Netflix recommendations, credit card fraud detection, and the algorithm deciding what you see on social media.
    
    Computer Vision: Teaching computers to "see" and interpret the visual world. This is how self-driving cars identify stop signs versus pedestrians, how your phone unlocks when it sees your face, and how medical software spots anomalies in X-rays faster than human doctors.
    
    Robotics: The physical application of AI. This isn't just mechanical engineering; it is the software that allows a machine to navigate the unpredictable, physical world. This covers everything from the Roomba vacuuming your floor to automated factory arms and those creepy, dog-like robots from Boston Dynamics.
    
    Natural Language Processing (NLP): This is the branch focused on understanding and generating human language. LLMs live here, but so do older, simpler technologies like spellcheck, Google Translate, and the early versions of Siri or Alexa.
    
    Expert Systems & Rule-Based AI: This is the older, "classic" AI. It relies on a massive database of human knowledge programmed as logical rules. When the IBM computer Deep Blue beat the world chess champion in 1997, it wasn't using an LLM; it was using raw computational power to calculate millions of possible moves and their outcomes based on strict rules.
    
    Predictive Analytics & Optimization: The invisible math running the modern world. This is AI used by logistics companies to find the absolute most efficient routes for delivery trucks, or by hedge funds to execute high-frequency stock trades based on market micro-fluctuations.
    







  • More or less the point is: Have you considered that this is a psy op to keep you from using a revolutionary technology, keeping it in the hands of the elite?

    What, you think every single company on Earth is dumb? You think that every programmer adopting it is dumb? You guys have no clue. You live in a little bubble where you studiously refuse to use this thing that you judge from three years ago. It would be sad, but it’s honestly just disturbing. We have a moment to use the most frontier models available. And we are going to lose that moment. And y’all, instead of using this technology to fight power, just bitch about it, as though that will do anything. As if your NIMBY nonsense will stop datacenters. As though you aren’t on Lemmy, USING DATACENTERS.



  • Yeah but I don’t think this includes the water from feed, I think this is just the direct water. But I’m not sure. I think it’s like 100x or more water that animal agriculture uses. Similar levels for emissions. I honestly think this is a psyop to get the average person to not use AI as a force multiplier. 95% of AI is corporate, anyway. Abstention does very little besides deprive oneself of a tool that They are using to great effect, against us.