Also Servo is now under the Linux Foundation. Both this and Ladybird are very exciting.

Good grief! I expected it to be more sped up. That water rose crazy fast.

You really nailed it here. That’s is really funny. Like Dr. Melphi.

I got a privacy update for Gmail tools too. It used to be to enable smart tools you needed to allow google to read your email. That does stuff like automatically add calendar events for flights and such.

Now you must also allow the email to be read by their AI services too. I can’t recall precisely how it was worded, but it was an easy decision to keep the “smart” features off.

I mean, I really just use Gmail as the email address I give to sign up for sites and such, but would be good just not to have it one day.

If only there were a word, literally defined as:

Made by humans, especially in imitation of something natural.

I hate that. I’m looking at you Healthline. I hate that it’s always so high in the results.

Not liking Apple for ethical reasons is one thing, but thinking they don’t make good products surprises me. I think the current generation of MacBooks are some of the best computers ever sold.

By denying access to resources in a primary region, one might force traffic to an alternate infrastructure with a different configuration. Or maybe by overwhelming hosts that distribute BGP configurations. By denying access to resources, sometimes you can be routed to resources with different security postures or different monitoring and alerting, thus not raising alarms. But these are just contrived examples.

Compromising devices is a wide field with many different tools and ideas, some of which are a bit off the wall and nearly all unexpected, necessarily.

Disabling network security and edge devices to change the properties of ingress can absolutely be a component of an attack plan.

Just like overwhelming a postal sorting center could prevent a parcel containing updated documentation from reaching the receiver needing that information.

Can be a component of it.

AI is a superset of transformers which is then a superset of LLM’s. I think I’m making the same point as you, that in the broader sense “AI” can be useful.

It also helps with tons of complex tasks in the sciences like finding new protein folding algorithms.

Falcon 9 has launched over 500 mission with a very high success rate. Of course the bulk of advancement should be coming from NASA and we need to spend more there, but SpaceX is putting up big numbers in successful payload lifts.

Sorry. I was unclear. I just meant one would expect it to burn much as another textile of a similar blend. So more wool, less fire; more cotton, more fire.

Flannel is wool and cotton, so… like pretty much most other textiles.

The call is coming from inside the country.

What year is this?

Interesting that you chose Reddit as an example. They have a fascinating origin story with respect to data mart. Early Reddit had just two tables: Thing and Data, where Thing was metadata about types and Data was a three column table with: type, id, and value.

Wrap your head around that. All of Reddit, two tables. A database couldn’t be less normalized (final boss of normal forms) and they did it in an rdb. So horrific it’s actually kind of cool.

Good grief. Tongue was obviously firmly in my cheek. Good for him. I am deeply sorry for my digression.

That’s quite a fever.