101010 in decimal is 42.

That is the answer..!

I have a 2021 M1 Pro MacBook Pro that I use every day, and I don't hear the fans...at least not yet.

I wonder how my situation differs from Christian's.

Same. One difference might be how much stress we put on the machine. I believe thermal paste does degrade faster with more heat and Christian says that he throws a lot at it: video editing, code compiling, CAD models.

It might make a difference how much usage is being put on the machine leading to degradation of the original thermal paste faster or slower.

I remember writing one of these and typing "put bag in bag" and then being confused why the bag disappeared from the world.

This was a long running bug with merc based muds. The logic was to scan the room items first which cased the bug. Later versions would scan corpses first, then self, then room.

Should have done it the other way around

Much better to have the world disappear from the bag.

put bag in bag of "things which do not contain itself"

Russell's Paradox: https://en.m.wikipedia.org/wiki/Russell%27s_paradox

Another way is to do a Google image search for "black".

It should enter the competition of the most convoluted ways to have a black background on your phone.

The Moon's tidal forces are already slowing down the rotation period of the Earth, which was apparently only 5 hours long about 4.5 billion years ago.

Yes, but when you consider the combined system of the earth and everything that affects its orbit, angular momentum is conserved.

My issue with this setup is that it doesn't emit as many neutrinos as the Sun.

Have you considered taking neutrino supplements?

The nice thing about them is that they're flavour changing

My neighbor takes them so I get the benefits too.

Good that you get your sunborn nutrino fix even in cloudy days (and much of it even at night)

I have noticed after a distant super nova I always feel better

I asked Claude if it would be appropriate to use it for localization of text during app development and it strongly recommended avoiding using itself.

LLMs are incapable of introspection. Answering questions about themselves is one of the things they are extremely bad at.

There was a few month window where ChatGPT was capable of giving you the reasons and rationale of how it came to a completely wrong answer, and then proceeded to explain why it was wrong. It was quite interesting and in most cases understandable, giving you the opportunity to give the additional context needed to succeed in the future.

Then for whatever reason it was nerfed. Same as the original chain of thought output where for a few days it was accidentally exposing the hardcoded guardrails OpenAI had included. You would actually see it saying “Making sure my answer doesn’t support any stereotypes or include information that could fuel discrimination” and then re-writing factual statements in the output if it happened to touch upon something remotely controversial.

Thank you for sharing. This is a wonderful experiment and I think this concept has a lot of potential.

This isn't the most important reason, but compared to similar web sites, Mastodon's user experience is awkward.