That’s why it’s going, to make room for copilot results

Their opinion of themselves exceeds their capability.

I was deathly afraid it wasn’t as clever as I thought. One however does one’s best.

100%. It’s already centered.

Then who are you fucking?

Cosmopolitan.

I’m reasonably sure I’d lose against him without that premise.

We have a NeatBoard that’s configured for Zoom. So our stand ups are in front of this TV thing and it works well for us.

Then again, our stand ups are short and to the point. We’re closer to kanban than scrum.

Experienceing a significant diggity shortfall

Dehumanization

Thank you for pointing that out explicitly. I was entirely baffled by this whole x-files thing until then.

It makes perfect sense that they’d be dehumanizing people like this.

It surprises me. Rather it’s not SELinux it’s userland stuff that reports the wrong error.

Say I try to mount a directory into a podman container and try to read a file. I get some variety of file not found (it’s right there, I can see it) or permission denied error (its permissions are 777) but in reality its label is wrong.

That is 100% comedy gold.

I would have happily told your to 302 see other meeting room.

Ph’nglui mglw’nafh Cthulhu R’lyeh wgah’nagl fhtagn.

Righteous.

TBF the home row wouldn’t matter. There’s enough food stuck between the keys that what you press isn’t what you get anyway.

Yeah, by all means don’t start down what you think might be a dead end, but come back to it once all the other paths have proven to be dead end.

It’s kind of remarkable to see the model really reasoning through the problem like a human

100% bullshit.

the AI achieved its results by “persevering down paths that a human may have dismissed as not worth their time to explore,

So it just auto-completed its way down what a human would have (mistakenly) considered a dead end. Fine, it brute forced it.

a caveat: “While the original proof produced by AI was completely valid, it was significantly improved by the human researchers at OpenAI and the many other mathematicians involved in the present paper. The human still plays a vital role.”

And it produced garbage anyway, which meant it just let the real mathematicians know the assumed dead end was actually useful.

Also known as induced demand. Most of a thing drives more demand for that thing.

Which means the app was crap. Rather the rules it used to validate a valid name are garbage.

Usually because someone tried to be too strict. E.g. names are space delimited A-Za-z strings, rather than just accepting any old Unicode string and safely processing it (e.g. with an SQL prepared statement).

I’ve had websites reject email addresses with one of the newish TLD’s because someone decided they new how to validate an email address (it’s more a more flexible spec than you might think).

That’s conforming (to what ever criteria). Send me a UTF-16 string of at most 100 code points. Send me a 7-bit ASCII string of only A-Z0-9. Reject anything that doesn’t comform.

sanitizing is trying to clean an input. That’s “lemme just double escape some special characters” or stripping/replacing/encoding characters or truncating strings, coercing types. Don’t do this, your sanitization code will have bugs or edge cases.