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Joined 2 years ago
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Cake day: June 13th, 2024

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  • This is disconcerting. China’s not going to slow down on their build out of infrastructure.

    And for those who spin this as a positive. AI is not all LLMs. Real diseases are being cured by the complex modeling, real world tangible products, like airplanes and ships, are being designed safer.

    I speculate that there’s a good chance that the modeling will eventually help to resolve the climate issue too, rather than continue to contribute to it. Physics models become more robust for simulating nuclear fusion; logistics models for transportation and energy distribution too.

    Living in a tourist town, I don’t want a large data center in my backyard either, but there are plenty of places that do and where it makes sense to do so both from a logistical and resource perspective.

    We get behind the curve here and it’s going to be near impossible to catch up, and when the smart people can’t play ball with the newest toys, that leads to brain drain.






  • Shew, what a headline. Keep in mind that AI is not just all LLM. I’m not sure how much more juice we can squeeze out of LLMs, but we’re just scratching the surface with other prediction models.

    The ability to have smart cars that improve fuel efficiency by adjusting to traffic conditions may very well compensate for the increased electricity demand created by data centers.

    New chemistry models may finally help us produce batteries that can meet the demands of a renewable energy grid.

    We’re standing at a precipice. What we’re doing as a society is not working today - it’s not sustainable. And I’m not shy to say that I’m one of the few here on ActivityPub that think we may be able to leverage AI to dig us out of this hole we’ve started to dig ourselves in. But, in order to do that, we need clear heads, with clear goals and the incentives to encourage others to execute on them.

    What we’re doing right now, just complaining about what’s not working isn’t going to save us.





  • There’s a growing wisdom gap coming in America. The people who are already well versed in company practices and culture are going to use AI to complete the tasks that they would have otherwise given to assistants and junior resources.

    The junior resources are going to struggle to find jobs because they are lacking in the KSAs that schools simply cannot provide training for. And that means when us Gen Xers and later Millenials retire there could be a major gap where we have few people with that inherent knowledge to replace us. And where there’s no work and no hope, you get something akin to what is starting to occur in China right now…or revolt.

    My hope is that schools will be rethought and there will be a lot more focus on getting an internship early and for the long term. Something more like apprenticeships, which the blue collar workforce maintained, but it’s something we’ll likely need to bring back to white collar jobs.

    This isn’t to say that schools should diminish a well rounded education. I think it’s extremely important for students to take electives outside of their focus for a multitude of reasons, one being that it helps students realize the importance of how others contribute to society.

    Apprenticeships can help to fill the knowledge gap, but the white collars that are in the jobs now will also need to be retrained and made comfortable to work with a large influx of apprentices to make this approach a success.


  • So I’ve had this thought for 20+ years but can’t seem to get it to work. Maybe someone smarter than me can make it work.

    The Curie point of Gadolinium is around room temperature. If you put a high powered magnet on one end and then generate some external heat and include a spring (or crank arm) on the magnetic end, you could produce a piston, similar to a sterling engine.

    Now, if you add this cooling material as a heat sink, you could likely rapidly cool the gadolinium material back below the Curie point, making a more efficient engine, perhaps even producing something that could do a bit of work.

    I made some prototypes back in the day, but the ferromagnetic material would always eventually get locked with the magnets. My rudimentary engineering skills could never get the external heat source quite right. Perhaps someone with a bit more ingenuity will take this and run with it.

    Also, old broken microwaves are a great way to salvage some pretty strong magnets.

    And be careful when handling gadolinium, it’s known to cause kidney and nerve damage.


  • I’m much more a fan of the PBS/NPR underwriting model. Tell me who deliberately funds the show or video.

    When the advertisement is so divorced from the show, is not relevant to the conversation or is not relevant to me, then the andvertisers are wasting their money.

    If you show me the same ad over and over again, I am actually more likely to NOT buy that branded product or service because I’ve become so annoyed and numb from the ad taking what little time I have on this planet that I will actively boycott it.

    However, I do have a nice space mug from PBS, a plot of land on Mars, the moon and Scotland, and a t-shirt for the Truth podcast to prove that I will spend money when the advertising is relevant to the content I’m consuming. So if you want the ad to work, invest your dollars directly into the content and providers I care about.

    But for the love of everything, do not think for a moment that your contribution gives you license to control their messaging or content.



  • I am not an AI hater, it helps me automate many of the more mundane tasks of my job or the things I don’t ever have time for.

    I also feel that change management is a big factor with any paradigm shifting technology, as is with LLMs. I recall when some people said that both the PC and the internet were going to be just a fad.

    Nonetheless, all the reasons you’ve mentioned are the same ones that give me concern about AI.