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  1. Embed this notice
    Eric's Risk Assessment (ericcarroll@zeroes.ca)'s status on Saturday, 25-Nov-2023 03:43:46 JST Eric's Risk Assessment Eric's Risk Assessment
    in reply to
    • J.H.Noyes
    • Jonathan Kamens 86 47

    @noyes @jik lol. That's a great analogy.

    In conversation Saturday, 25-Nov-2023 03:43:46 JST from gnusocial.jp permalink
    • Embed this notice
      Ed Suominen (edsuom@hachyderm.io)'s status on Saturday, 25-Nov-2023 03:43:46 JST Ed Suominen Ed Suominen
      in reply to
      • J.H.Noyes
      • Jonathan Kamens 86 47

      @EricCarroll @noyes @jik It really is, especially considering that LLMs are gigantic neural networks that get trained to say things that match a certain pattern. Deviate from that pattern, and the model parameters get updated so it’s less likely to deviate from it next time.

      That’s pretty much what they do, isn’t it? For the guys who write the checks?

      In conversation Saturday, 25-Nov-2023 03:43:46 JST permalink
      clacke likes this.
    • Embed this notice
      J.H.Noyes (noyes@mastodon.online)'s status on Saturday, 25-Nov-2023 03:43:47 JST J.H.Noyes J.H.Noyes
      in reply to
      • Jonathan Kamens 86 47

      @EricCarroll

      If you think of TV experts as stochastic parrots it makes more sense. They're just organic language models with deficient training corpuses. Or at least deficient when it comes to resolving illnesses--they're very good at establishing markets for products and services that do not reduce demand within that market.

      @jik

      In conversation Saturday, 25-Nov-2023 03:43:47 JST permalink
      clacke likes this.
    • Embed this notice
      Eric's Risk Assessment (ericcarroll@zeroes.ca)'s status on Saturday, 25-Nov-2023 03:43:48 JST Eric's Risk Assessment Eric's Risk Assessment
      in reply to
      • Jonathan Kamens 86 47

      @jik I once would have reacted strongly to the fact that a science PhD holds this view, but the never ending parade of highly credentialed risk minimizers who are totally supportive of mass infection, disease, compounding risk, long term injury and even death has utterly pounded that out of me.

      In conversation Saturday, 25-Nov-2023 03:43:48 JST permalink
      clacke likes this.
    • Embed this notice
      Jonathan Kamens 86 47 (jik@federate.social)'s status on Saturday, 25-Nov-2023 03:43:49 JST Jonathan Kamens 86 47 Jonathan Kamens 86 47
      in reply to

      @EricCarroll People have been conditioned to believe motorcycle riding is very dangerous and conditioned to believe COVID isn't. Most people don't question the beliefs they've been conditioned to believe. They just accept them as truth, and confirmation bias does the rest.

      In conversation Saturday, 25-Nov-2023 03:43:49 JST permalink
    • Embed this notice
      Jonathan Kamens 86 47 (jik@federate.social)'s status on Saturday, 25-Nov-2023 03:43:51 JST Jonathan Kamens 86 47 Jonathan Kamens 86 47
      in reply to

      @EricCarroll If there's anything COVID has proven conclusively, it's that the majority of people are going to believe what they choose to believe, regardless of whether there's any factual basis for it.
      The relative who made this absurd claim to me is a science PhD (both undergrad and grad from ivy league schools). She didn't "do the math," she decided what she wanted to believe and then made up facts in her head to support it.

      In conversation Saturday, 25-Nov-2023 03:43:51 JST permalink
      clacke likes this.
    • Embed this notice
      Eric's Risk Assessment (ericcarroll@zeroes.ca)'s status on Saturday, 25-Nov-2023 03:43:52 JST Eric's Risk Assessment Eric's Risk Assessment
      in reply to
      • Jonathan Kamens 86 47

      @jik
      Send them back to stats class. They did take stats, right?

      COVID infection is the single riskiest "common" event.

      Nothing even close.

      In conversation Saturday, 25-Nov-2023 03:43:52 JST permalink
      clacke likes this.
    • Embed this notice
      Jonathan Kamens 86 47 (jik@federate.social)'s status on Saturday, 25-Nov-2023 03:43:53 JST Jonathan Kamens 86 47 Jonathan Kamens 86 47

      A relative mocks me at Thanksgiving about being #CovidCautious: "I actually did the math. You're 100,000 times more likely to be injured riding a #motorcycle than to get #LongCOVID."
      In fact, <1% of riders are injured each year, including the majority of accidents which involve drunk driving or unsafe speeds, neither of which I do.
      In contrast, >6% (at least) and growing of the US population has Long #COVID.
      But sure, she "did the math." #smdh

      In conversation Saturday, 25-Nov-2023 03:43:53 JST permalink
      clacke likes this.
      clacke repeated this.

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