I read through that AI chat summary. My impression is that it's socially gratifying but technically empty. What I mean is that it's congratulating you for "breaking the rules" and is taking your side in an imagined conflict, but shows no sign of knowing what the rules are, or what you're actually doing to break them. The claims are neither true nor false, but simply empty.
My hunch is that if you find out what "the rules" are, you'll discover that design practices for bass speakers moved away from those rules at least 25 years ago.
My impression of widely available AI tools so far is that they're good for three things:
1. Serving as a search engine, especially now that Google has turned into an advertising platform.
2. Computer programming. I make heavy use of Github Copilot in my work. This benefits from the surprising amount of regularity in existing computer code. Also, it's pretty cheap to pay for the most advanced tools, compared to the potential productivity gain.
3. Writing text that's not worth reading. This isn't a slam. Most human-written text isn't worth reading either. Streamlining the process of generating this text could produce an efficiency gain that dwarfs the industrial revolution, and frees us to work on more valuable things, such as not reading stuff that's not worth reading.
I did spend some time today, with the AI tools, and asked a bunch of questions about speaker design. Since I also understand the design principles at a pretty deep level, I can make an educated guess as to whether the responses would be useful, and my impression is that we're not there yet. It will be interesting to see what the future holds. Meanwhile, I'm still employed.
My hunch is that if you find out what "the rules" are, you'll discover that design practices for bass speakers moved away from those rules at least 25 years ago.
My impression of widely available AI tools so far is that they're good for three things:
1. Serving as a search engine, especially now that Google has turned into an advertising platform.
2. Computer programming. I make heavy use of Github Copilot in my work. This benefits from the surprising amount of regularity in existing computer code. Also, it's pretty cheap to pay for the most advanced tools, compared to the potential productivity gain.
3. Writing text that's not worth reading. This isn't a slam. Most human-written text isn't worth reading either. Streamlining the process of generating this text could produce an efficiency gain that dwarfs the industrial revolution, and frees us to work on more valuable things, such as not reading stuff that's not worth reading.
I did spend some time today, with the AI tools, and asked a bunch of questions about speaker design. Since I also understand the design principles at a pretty deep level, I can make an educated guess as to whether the responses would be useful, and my impression is that we're not there yet. It will be interesting to see what the future holds. Meanwhile, I'm still employed.
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