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Joined 2 years ago
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Cake day: August 2nd, 2023

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  • What would “in” consist of?

    Democrats had both houses and the Oval Office in 2021. The Democrats were as “in” as they can reasonably expect to get unless we want to go back to 2011 when the Democrats had all that and a supermajority.

    What was stopping him from doing something now? Who forced him to send more arms to Israel?

    And how is the Democrats ability to do the right thing inhibited in any way by people complaining about a CEO supporting genocide?

    These arguments sound a lot like when my 10 year old tells me that they’ll stop watching video games and do their homework as soon as I stop nagging them. That’s nonsense. They do their homework when I take the laptop away and tell them they can’t have it back until the homework is done.



  • It’s completely disingenuous to refer to it as just “visiting family.”

    He was the one who decided to post a photo op in Tel Aviv. His previous posts make it clear that he knew he was doing so right next to an active genocide. According to the article, pro-Israelis interpreted it as an endorsement of Israeli policy.

    Reasonable people still have boundaries. Reasonable people don’t “hold their nose” at genocide. Reasonable people stop believing in empty promises when every Israeli atrocity is rewarded with praise and unwavering support.






  • I don’t need to guess. I know from having been to China and having talked to people.

    It’s mostly a combination of 3 things:

    1. Tons of infrastructure. If you decide to start manufacturing some random thing you can easily get all the stuff you need to get started.
    2. Regulations are generally very favorable to small startups and businesses. This is partly why so much of the stuff on Temu is crap.
    3. A huge population. That’s the main source of ultra cheap labor. Farmers in rural China can still make as little as $1.90 per day. All a factory owner needs to offer is more than that and they’ll have a line of applicants.



  • This is all true if you take a tiny portion of what AI is and does (like generative AI) and try to extrapolate that to all of AI.

    AI is a vast field. There are a huge number of NP-hard problems that AI is really really good at.

    If you can reasonably define your problem in terms of some metric and your problem space has a lot of interdependencies, there’s a good chance AI is the best and possibly only (realistic) way to address it.

    Generative AI has gotten all the hype because it looks cool. It’s seen as a big investment because it’s really expensive. A lot of the practical AI is for things like automated calibration. It’s objectively useful and not that expensive to train.