The delight they have at, video games aren't just a thing to play, it's a thing they can design and change, share with each other... I think that dream of a truly malleable experience is still there, I think this "explosion of new forms" you talk about is happening right now with AI, and I think this time it is going to be bigger than ever.

If you own a lot in San Francisco you should be able to build an apartment building on it.

edit: Yes I think this should be possible, using a "recursive SNARK".

It would work better as a bar for hiring, rather than as a bar for publishing.

Please, give me one example of an interesting and unique book that the AI companies have destroyed.

https://www.theargumentmag.com/p/why-everyone-loves-amazon

https://www.pangram.com/blog/third-party-pangram-evals

Personally, at first I thought these sorts of tools were dumb and wouldn't really work, but I think it works because it just isn't designed to be "adversarial". If you want your AI to trick Pangram, you can make an AI to trick Pangram. It just catches people who are cutting and pasting from the AIs without putting any more effort into hiding it.

Now, there are a lot of things that |v| for a vector can mean. In the L1 distance you just add up the absolute value of each dimension. You could argue that that's a simpler sort of |v| than L2.

And there you go! |S| on a set actually means exactly the same thing as |x| on a vector, if you interpret sets as vectors in the right way.

You could easily describe this trend positively rather than negatively, like:

"Google has built an incredible amount of datacenters in the past few years, which makes sense since Google Cloud revenue has tripled since 2021. But they are trying to grow even faster and add more revenue."

https://wiki.haskell.org/index.php?title=All_About_Monads

1. There may be no simple rule of thumb like "suddenly using tons of bandwidth"

2. Bad actors can open up so many accounts, you have to close them automatically

3. Malware can infect a good actor, who is unaware or struggling to deal with it

https://bonkersworld.net/organizational-charts

But it ended up being not "too hard ever", but more like, in 1 out of every 5 tries, the model did in fact manage to get a large refactoring to the point where it improved performance. So once I set it up to try something, use the perf test, see if it worked, if not, throw it away, repeat. Then it started, slowly, finding some useful things.

To me, what it sounds like is that a Google Cloud system identified Railway as a misbehaving customer. Spam, hackers, that sort of thing. Often this happens for "platform as a service" companies, because Railway themselves probably do host some spammers and hackers, and they have their own systems for dealing with it.

So, it's quite possible that according to the Google team, Railway violated the terms of something or other, and according to the Railway team, they did not, and now everyone has to argue about it.

But who knows, this is just me guessing based on some experience running a PaaS that itself was running on top of AWS.