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  • You have previous on here for getting a hard-on for AI without actually understanding it. Don't be surprised when this irritates people who have some knowledge either of the computing field or the specific area where the AI/ML you're uncritically hyping is being applied. It's not because they're Luddites, it's because they care.

    Have I? I don’t recall. It’s not my field of expertise, and given how far outside of most people’s fields of expertise it is I’d hope 1) media did a better job covering it critically, and 2) experts/critics did a better job of voicing their concerns. I uncritically repeated what multiple MSM said, you got me there, but to be irritated at me for being interested in learning more (hence posting it here, on a bicycle forum, for discussion) and not doing it well enough for you (I presume an expert), seems harsh.

    I think we can all agree that I post here too much anyway. Shrug* I’ll tone it down.

  • For what its worth I'm working for a machine learning company helping them write a tech design for a new neural network product at the moment and I've been impressed at how patient they are with people who don't understand the tech and/or get roped in by the hype. I do suspect it's mostly bicycle forum machine learning experts who are getting grumpy about it.

  • A lot of people that understand it don't understand it, other than at a high level - Some aspects of machine learning are moving at a bonkers rate.

  • Having had to deal with a "founder" who answered my questions about the lack of a baseline with "I don't think you can measure this objectively" and had to watch a potentially promising idea tank on the basis of such ignorance, along with the nasty human cost, I'm going to keep being grumpy about it.

    Uncritical hype of tech and tech snake-oil salesmen is actually a serious social problem right now, in case you hadn't noticed. The snake-oil salesman in question here has some particularly dodgy form.

    And before you start, Dan, at work I dealt with it very patiently and responsibly, unlike the founders, for the sake of a whole team and at the risk of my job. But this is a cycling forum.

    Some aspects of machine learning are moving at a bonkers rate.

    @TW All the more reason for skepticism to be the default response.

    1. What can independent sources tell me?
    2. What is this person trying to sell me?
    3. If this tech is valid, how can it be abused?

    These should be the first questions that come to mind.

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