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  • Fluid handling in free-fall is a nontrivial task. While it's true that linking tanks in two different vessels is also a technical challenge, there's plenty of value in demonstrating that you can pump the fluids around at all

  • It was different for the upper stage. That was a fast rotation messing things up, but in this case the hot staging seems to have pushed harder on the booster than they expected and lifted the fuel away from the bottom of the tank.

    They've solved one sloshing issue, but the solution for this one will be different

  • First stage worked beautifully, but engines started failing after stage separation and it self-destructed.

    Second stage also looked like it was going perfectly, but a few seconds before its burn ended it also self-destructed for no immediately apparent reason. It was literally seconds away from achieving orbit

  • The rocket is very careful to keep the oxygen and methane separate. To make the tanks explode they'd need to spend a lot of time mixing them, which isn't good enough for a self-destruct. It would also behave differently in different parts of the flight. The equipment to do it would be big and heavy as well.

    Instead, they use explosive charges because they're lightweight, reliable, and quick to detonate (last launch notwithstanding, because of a design problem)

  • Because a container is only as isolated from the host as you want it to be.

    Suppose you run a container and mount the entire filesystem into it. If that container is running as root, it can then read and write anything it likes (including password databases and /etc/sudo)

  • If by "left in space" you mean the payload, then mostly Starlink satellites. A considerable number of other people's satellites as well. Those stick around until the end of their service life, then they re-enter the atmosphere and burn up.

    If you're asking if any part of the rocket gets left up there, then the answer is no

  • 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.

  • You might just as well ban crowded places. A drone solves the problem of getting a weapon to a target, which is relevant in a war zone but not in a public place.

    If someone wants to bomb a crowded stadium, there are simpler ways than strapping a bomb to a drone

  • 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.