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Joined 1 year ago
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Cake day: June 14th, 2023

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  • It’s a great analysis, and I don’t disagree with anything you said (mostly because you’re better informed than I am). But you nailed it with “Why would I need this? I don’t know yet.” It should all be driven by need—the fact their are more options is great, but doesn’t mean they should be used just because they’re there… For many hobbyists, ease of access and speed to get started is the main driver, and for those cases, pre-built boards are the answer.

    I remember talking to a car manufacturer in the early 2000s who said it would be relatively easy to make cars to a custom length / load space. But they tend to make specific models because if you give people too much choice, they get paralysed and don’t choose anything.

    I suspect it’s not quite that simple but the principle seems sound.










  • Definitely LLMs have been over promised and/or misrepresented in mainstream media, but even in the last few months their utility is increasing. I’m a big advocate of finding ways to use them to enhance people (thinking partner not replacement for thinking). They are most certainly a tool, and you need to know their limitations and how to use them.

    From experience working with naive end users, they are anthropomorphising based on how the models have been reported and that’s definitely not helpful.

    As the models get more and more capable (and I’m pretty happy to make that prediction), will they reach a point where they are indistinguishable from the output of a real person? That will give us some challenges. But the interesting thing for me is that when that happens, and the AI can write that report you were paying someone to write, what was the point of the report? You could argue they were some kind of terrible UBI and we’ll end up with just the pointless output without the marginal benefit of someone’s livelihood. That needs a bigger rethink.



  • Ok, I’m not going to go point by point, as this is getting too long. All I’d say is remember where the model for ML came from (McCulloch & Pitts), and that this is the worst AI will ever be.

    If this is truly a jump across S-curves in utility, it’s bound to be slightly worse than other methods to begin with. Many of the arguments against the current approach sound like the owners of a hot air balloon business arguing with the Wright brothers.