FaceDeer

Just in case people think this is a literal excerpt from the article (that was my first impression) the actual survey results were:

33% are very likely to trust 32% are somewhat likely to trust 21% are neutral 14% express some level of distrust

Or, you're in a bubble and are surprised to discover that most people aren't in it with you.

But we need to attract a hip young new audience! The sort of audience that doesn't care about Star Trek, and just wants teen drama and unprofessional nonsense!

And of course the Russians try to blame everyone but themselves.

The obvious evidence that this was a Kh-101 aside, even if it had been a stray anti-air missile this damage would still be the direct result of Russia firing on civilian targets. Russia's attempt to deflect blame is utterly pathetic.

There's a lot of outright rejection of the possibilities of AI these days, I think because it's turning out to be so capable. People are getting frightened of it and so jump to denial as a coping mechanism.

I recalled reading about an LLM that had been developed just a couple of weeks ago for translating source code into intermediate representations (a step along the way to full compilation) and when I went hunting for a reference to refresh my memory I found this article from March about exactly what's being discussed here - an LLM that translates assembly language into high-level source code. Looks like this one's just a proof of concept rather than something highly practical, but prove the concept it does.

I wonder if there are research teams out there sitting on more advanced models right now, fretting about how big a bombshell it'll be when this gets out.

We're back to "privacy is a good thing even if it enables 'criminals'"? Yesterday there was rather a lot of negativity towards GNU Taler and other means of transferring money privately because it enabled tax evasion and such.

As others have mentioned, it's possible but very complicated. Decompilers produce code that isn't very readable for humans.

I am indeed awaiting the big news headlines that will for some reason catch everyone by surprise when a LLM comes along that's trained to "translate" machine code into a nice easily-comprehensible high-level programming language. It's going to be a really big development, even though it doesn't make programs legally "open source" it'll make it all source available.

Past results are no guarantee of future performance.

Just because it worked out in the end didn't mean it was a good idea to try.

DAI has been around for six and a half years at this point.

How exactly is its "scam" supposed to work?

I'd love to hear about any studies explaining the mechanism of human cognition.

Right now it's looking pretty neural-net-like to me. That's kind of where we got the idea for neural nets from in the first place.

The meme would work just the same with the "machine learning" label replaced with "human cognition."