I think I used Tuxera for a few years but it wasn’t ideal (I’d have to drag the drive to a Windows computer every once in a while to fix the boot record or something that would get corrupted by Mac OS whenever it got finnicky about disconnecting it)

Sure thanks for finding a better link. Here’s a cookie. 🍪

Man I dunno if we’ve ever been here before. Nope.

yeah I did this almost 30 years ago and could recite it from scratch, haven’t made a cable since hs

LLMs are conversation engines (hopefully that’s not controversial).

Imagine if Google was a conversation engine instead of a search engine. You could enter your query and it would essentially describe, in conversation to you, the first search result. It would basically be like searching Google and using the “I’m feeling lucky” button all the time.

Google, even in its best days, would be a horrible search engine by the “I’m feeling lucky” standard, assuming you wanted an accurate result and accurate means “the system understood me and provided real information useful to me”. Google instead return(ed)s(?) millions or billions of results in response to your query, and we’ve become accustomed to finding what we want within the first 10 results back or, we tweak the search.

I don’t know if LLMs are really less accurate than a search engine from that standpoint. They “know” many things, but a lot of it needs to be verified. It might not be right on the first or 2nd pass. It might require tweaking your parameters to get better output. It has billions of parameters but regresses to some common mean.

If an LLM returned results back like a search engine instead of a conversation engine, I guess I mean it might return billions of results and probably most of them would be nonsense (but generally easily human-detectable) and you’d probably still get what you want within the first 10 results, or you’d tweak your parameters.

(Accordingly I don’t really see LLMs saving all that much practical time either since they can process data differently and parse requests differently but the need to verify their output means that this method still results in a lot of back and forth that we would have had before. It’s just different.)

(BTW this is exactly how Stable Diffusion and Midjourney work if you think of them as searching the latent space of the model and the prompt as the search query.)

edit: oh look, a troll appeared and immediately disappeared. nothing of value was lost.