otterdude

Apple is the new dogshit. Having serious issues with nearly every one of their offerings. Apple TV app needs to be logged in every time. iTunes plays video/audio out of sync. hardware failures on macbook pro / apple watch.

I've stopped buying apple stuff

until people starting giving a shit to form alternatives, they're the only option that exists. Were not in a college classroom debating ideals, this is a real life triage situation

You're completely right, the supremacy of the legal domain over the scientific i think is ultimately to blame. We need specialized courts for technological matters instead of letting seniors who can't even open their email make these important, nearly permanent common-law precidents. Or maybe just switch over to civil law.

I believe you're analysis is ultimately correct, but we wont fix things by staying silent.

We should be building technology and organizing to fight this BS

I fail to see how any of this is novel. They basically describe TFIDF with a cosine vector product. This taught in undergraduate classes! What am i missing!

The grantee doesn't have a CS degree, this whole thing seems suspicious. Here is the company website https://www.linkedin.com/company/bundleiq/posts/?feedView=al...

Here is a post of his claiming to have worked at Mar-A-Largo for 6yrs https://x.com/mohnacky/status/1901033511307325735

you mean a fan?

this guy puns

This has been done on jet engine fleet monitoring for well over 35 years. It has nothing to do with AI, or am I missing something?

I dont get what this has to do with AI. This is a discussion of CFD optimization, by using non standard indexing to link cells turbulence information.

In my time developing jet engines I was told a story about how IBM in the early 2000s was paid 10s of millions of dollars to develop a fleet monitoring tool to spot maintenance issue, still a manual task.

Over the course of a two year period all operational and development data (since 1980) was fed into a model with all the records of maintenance and issue.

IBM came back and said, hey all these issues correspond to this parameter “EOT”… what’s that?

EOT stands for “Engine Operating Time”. The insight provided by this model was essentially useless, and their contract was canceled.

While ai is very cool, and interesting I think what the author is really saying is “AI” is really naive optimization where the the implementation is really only as good as the practitioners application knowledge.

Let’s not forget that at the end of the day Neural Nets are really just overfitting data