Trying to keep traditions alive!

I don't either, I use a US keyboard.

You know you can type more than what's drawn on the keys, don't you?

Is it so hard to put the right letter? n != ñ. It's not an accent, it's a whole different letter.

That's actually great for serious practitioners, we only get more expensive and there will be less noise recruiting.

Bootcamps made hiring extremely annoying.

Translation: "We're not improving as fast as we thought and we're spending a shit-ton of money, so let's frame the slowdown is intentional for the greater good"

The crime was committed by Anthropic, not by "its AI", in the same way a murder was not committed by "the gun".

It's a move like Vision Pro... it will sell more than that, but I don't see this making a dent.

I mean, running faster is not that impressive, cars, bikes, motorcycles all go faster than a human.

If the robot had taken a load of laundry out of the dryer and folded it, that would be impressive. Running? Meh

Black Hole Sun

I don't buy that argument.

You don't need superhuman, if you get p99 human level you're already better off.

Max Verstappen level of car control with cameras would be a significant upgrade over the average driver.

Also, going through the diff, it's not that large of a change either.

It's tricky code: yes, but it's essentially a cleanup.

IANAL, but there's a precedent in the anthropic ruling (page 11-ish), where the judge argues that using the books a-la-Google is fair use for training.

Anthropic got in trouble for using pirated books.

Google has scanned pretty much every book under the sun by buying it, digitizing, and destroying it and in that ruling that can be fairly used to train an LLM.

Google may settle just to get over it, but it has a decent fighting chance.

Imagine a beowulf cluster of those!!

I mean, there could be an associated bacteria that produces the toxin.

Morning Glory uses a fungus, maybe this fungus is using something else?

Oracle is extremely over-staffed.

I left when it was at ~120K employees (after Sun's acquisition), and the amount of people that did essentially nothing other than posturing was staggering (at least in the middleware division).

With proper organization and tooling it could have done the same or more with about half of the engineers, and that's *before* AI tooling.

The talent pools are bimodal, you have a small pool of extremely talented people that carry the weight of the org, and enormous swaths of seat warmers. There's a lot of politics, and headcount can be a source of power. Incentives were set so managers tried to hold as much headcount as possible to increase their leverage in the org.