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Cake day: August 11th, 2023

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  • lunarul@lemmy.worldtoFuck Cars@lemmy.worldInsanity
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    5 days ago

    I lived in a European capital until 28 and never got a driver’s license because public transport was faster than driving through horrible traffic.

    Moved to the US and in less than a year had to buy a car because it was impossible to do anything without one. And that was in am area with considerably better public transport than usual for the US. It was just my wife driving, but after a few years I had to get a driver’s license too and buy a second car. I like walking, I prefer good public transit to driving, but it’s simply not an option in most of the US.

    Oh, and another story. In my hometown I absolutely loved the subway as THE way to get around. It was cool in the summer, warm in the winter, and average wait was 2-3 minutes. I visited New York one summer and as per habit I went to take the subway to my destination. It was sweltering hot and I waited 20 minutes for a train. Up to that point I considered NYC to be the closest US city to what I’m used to, but that would have been a deal breaker.


  • lunarul@lemmy.worldtoFuck Cars@lemmy.worldInsanity
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    5 days ago

    I absolutely avoided riding the bus in my native city. If a place wasn’t within a mile from a subway station then it might as well be in a different country because I’m not taking the bus there. The buses were always crowded and hot. Subway got crowded during rush hour, but at least there was good AC no matter where you stand.







  • Make a large enough model, and it will seem like an intelligent being.

    That was already true in previous paradigms. A non-fuzzy non-neural-network algorithm large and complex enough will seem like an intelligent being. But “large enough” is beyond our resources and processing time for each response would be too long.

    And then you get into the Chinese room problem. Is there a difference between seems intelligent and is intelligent?

    But the main difference between an actual intelligence and various algorithms, LLMs included, is that intelligence works on its own, it’s always thinking, it doesn’t only react to external prompts. You ask a question, you get an answer, but the question remains at the back of its mind, and it might come back to you 10min later and say you know, I’ve given it some more thought and I think it’s actually like this.