ominous ocelot

data in transit

Yes, but then it is stored unencrypted on github. Ready to be used as training data by github.com/ Microsoft or whoever. Which isn’t bad per se for i. e. public repositories. Just pointing out, that the weakest link in your chain of security measures is the… weakest link.

If you wanted to secure your code, you could store it on-site, behind a firewall, in its own network segment, with encrypted offsite backups. Elliptic curve cypto would help too in this scenario. And MFA. And access restrictions. Many possible measures.

TheyCantTalk

But they can. :)

That’s what LLM are made for;

Hence the Name? :)

I mean the automatic speech recognition and transcription capabilities are quite useful. But that’s about it, for me for now.

It could be interesting for frame interpolation in movies at some point maybe, I guess.

I dream of using it for the reliable classification of things. But I haven’t seen it working reliably, yet.

For the creation of abstracts and as a dialog system for information retrieval it doesn’t feel exact/correct / congruent enough to me.

Also: A working business plan to make money with actual AI services has yet to be found. Right now it is playing with a shiny new toy and the expectations and money of their investors. Right now they fail to deliver and the investors might get restless. Selling the business while it is still massively overrated, seems like the only way forward. But that’s just my opinion.