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Joined 2 years ago
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Cake day: July 4th, 2023

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  • Plus, as soon as the cars can drive themselves people will stop needing Uber in many cases.

    No parking? Just tell your car to go park on a street 10 blocks away.

    Drunk? Car drives itself while you sleep.

    Going to the airport? Car drops you off and returns home. Car also picks you up when you are back.

    This is combined with the fact that people will do more disgusting things in an Uber without the driver there. If you have ever driven for Uber, you know that 10% of people are trying to eat or drink in the car. They are going to spill and it’s going to end up like the back of a bus.














  • No, I think you are confusing the two kinds of trusts: a revocable trust means you still own the money or property, an irrevocable trust means you don’t own it anymore. Either you “give it away” in an irrevocable trust (which can’t be “dissolved”), or you don’t give it away (in a revocable trust).

    You are describing putting something in a revocable trust, which is not spending it or giving it away. It’s closer to just putting a label on it: “this money is for charity”. You don’t get a tax deduction unless you put the money in a irrevocable charitable trust or the charity actually receives the money (from any source, trust, whatever).



  • KevonLooney@lemm.eetoTechnology@lemmy.world*Permanently Deleted*
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    6 months ago

    It’s not just a predictive text program. That’s been around for decades. That’s a common misconception.

    As I understand it, it uses statistics from the whole text to create new text. It would be very rare to output “cats have feathers” because that phrase doesn’t ever appear in the training data. Both words “have feathers” never follow “cats”.


  • KevonLooney@lemm.eetoTechnology@lemmy.world*Permanently Deleted*
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    6 months ago

    Then these models are stupid. Humans don’t start as a blank slate. They have an inherent aptitude for language and communication. These models should start out with basics of language, so they don’t have to learn it from the ground up. That’s the next step. Right now they’re just well read idiots.


  • KevonLooney@lemm.eetoTechnology@lemmy.world*Permanently Deleted*
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    6 months ago

    provenance requires some way to filter the internet into human-generated and AI-generated content, which hasn’t been cracked yet

    It doesn’t need to be filtered into human / AI content. It needs to be filtered into good (true) / bad (false) content. Or a “truth score” for each.

    We don’t teach children to read by just handing them random tweets. We give them books that are made specifically for children. Our filtering mechanism for good / bad content is very robust for humans. Why can’t AI just read every piece of “classic literature”, famous speeches, popular books, good TV and movie scripts, textbooks, etc?