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Joined 1 year ago
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Cake day: August 11th, 2023

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  • 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.








  • It baffles me that these types of jobs exist in the same area as mine. My company doesn’t care what hours I work as long as I get things done, has gone fully remote and never going back, encourages people to not burn themselves out and take time off, we have actual unlimited PTO (i.e. nobody coming after me for using too much), etc. I always thought that’s just the Silicon Valley mentality, but I keep seeing news of big tech companies doing all kinds of crazy backwards things and I don’t get it. All the perks I get are not because my company is run by angels, it’s because they understand we’re actually more productive that way.








  • Not sure why you’d remember the ones you rarely need. I just memorized the things I use. Remembering stuff you use is much easier than learning a programming language. I’ve been programming for over 30 years and I’ve been using vim as my only “IDE” for the last 14 years. It would take me significantly less time to teach someone vim than to teach them programming.