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Joined 1 year ago
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Cake day: June 27th, 2023

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  • The only thing I’d add is “not particularity nice to the Muslims living there” is putting it mildly.

    Because there’s always tension, Israel takes its security very seriously. Unlike most countries, who put a token effort into security most of the time, Israel really is an armed fortress. That makes it very easy for someone with an itchy trigger finger to shoot someone who didnt deserve shooting. Even with the best will in the world, it would happen from time to time.

    That, of course, makes the Palestinians very angry. An angry population poses more of a threat, and is more likely to do something genuinely aggressive. The Israeli security is thus tightened further, and their soldiers get even itchier trigger fingers and around and around we go.

    It doesn’t take long before everyone involved has a personal grudge for one reason or another, and things can get really vicious.



  • They started launching in 2019, according to a quick look at Wikipedia. They told the general public (and regulatory agencies, I think) that the lifetime of the satellites was on the order of 5 years. The plan was to replace them frequently enough to maintain the constellation with that kind of service life (i.e. to launch the whole constellation worth of satellites every 5 years)

    Now, here we are 4 years later. It’s not terribly surprising if some of the early satellites are starting to reach the end of their lives.

    It’s going to be very expensive for them, but not an unexpected cost. This is the reason they’re so keen to start launching them on Starship




  • it is absolutely true that that AI keeps record of everything fed into it

    No it isn’t.

    A properly trained deep learning system will ultimately far smaller than all of the data it’s been trained on. It’s simply impossible for it to have retained a record of very much of it at all.

    When everything is working correctly it shouldn’t have any of the actual text stored at all. Certainly every single piece of training data will have left some impression on the model, but that’s a very long way from actually storing the training data. The model consists of statistical relationships, not a copy-paste of the inputs.

    Strictly speaking there is something resembling text in the model, but it’s made up of the smallest possible units of language (unless there’s been overfitting, in which case the training has gone wrong and there probably would be a case to answer).

    The model builds sentances from a list of “phrases” which don’t even need to line up with word boundaries. Things like “is a” might be treated as a “word”, as might “ing”, if the model finds that to be a useful snippet.