![](https://lemmy.ml/pictrs/image/68d981c0-5b48-491b-adf4-4aa0cce1a676.jpeg)
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I take it you don’t understand how startups work?
OpenAI is not making any profit and is losing money hand over fist today. Valuation and raising investment rounds isn’t profit.
I take it you don’t understand how startups work?
OpenAI is not making any profit and is losing money hand over fist today. Valuation and raising investment rounds isn’t profit.
Eh? That article says nothing about their profit margins. Today they have something like $3.5B in ARR (not really, that’s annualized from their latest peak, in Feb they had like $2B ARR). Meanwhile they have operating costs over $7B. Meaning they are losing money hand over fist and not making a profit.
I’m not suggesting anything else, just that they are not profitable and personally I don’t see a road to profitability beyond subsidizing themselves with investment.
OpenAI is burning billions of dollars not making profit.
https://rtyley.github.io/bfg-repo-cleaner/
Also revoke the key of course
Not OP but I’ve noticed a lot of racists, extreme right nationalists, religious chauvinists, etc. Which sucks because the concept is quite cool and I’d love to be able to jump from one question to the next, but pretty quickly I get irritated and have to close it.
I live upon morsels you happen to drop
This regulation (and similar being proposed in California) would not be applied retroactively.
All my own OSS stuff I always release MIT licensed because I want to be able to use the libraries in my closed source job.
Can you explain more? Don’t leave me hanging…
(((Truth)))
https://arewereorganizedyet.com/ lol already updated
Ahhh is that it? For whatever reason firefox mobile seems to not respect my general android setting and it won’t seem to turn off. But in any case, my apologies to the webmaster.
What in the everloving fuck kind of color scheme is this unreadable nonsense?
I even read this aloud in my head as “CREATE ZE VUCKING FILE” in a particularly bad German accent same as over 20 years ago when a friend I worked for drilled it in my head.
Did you just post your open ai api key on the internet?
In addition to iroh there is https://github.com/earthstar-project/meadowcap-js and other projects under https://github.com/earthstar-project. See https://willowprotocol.org/more/projects-and-communities/index.html#projects_and_communities
https://github.com/Mozilla-Ocho/Memory-Cache is the actual project if you want to use it.
Basically it’s a firefox extension to save a page as a pdf in a directory that is symlinked to your local PrivateGPT install which then ingests the docs. It doesn’t seem to me that it provides any in-browser querying of PrivateGPT but I haven’t tried setting it up to confirm that.
I think that is overly simplistic. Embeddings used for LLMs do definitely include a concept of what things mean and the relationship of things to other things.
E.g., compare the embeddings of Paris, Athens, and London to other cities and they will have small cosine distance between them. Compare France, Greece, and England and same. Then very interestingly, look at Paris - France, Athens - Greece, London - England and you’ll find the resulting vectors all align (fundamentally the vector operation seems to account for the relationship “is the capital of”). Then go a step further, compare those vector to Paris - US, Athens - US, London - Canada. You’ll see the previous set are not aligned with these nearly as much but these are aligned with each other (relationship being something like “is a smaller city in this countrry, named after a famous city in some other country”)
The way attention works there is a whole bunch of semantic meaning baked into embeddings, and by comparing embeddings you can get to pragmatic meaning as well.
Very interesting article and background. My father’s side of the family is all from Mysuru but also long roots in Udupi and Manipal. I’ll ask if anybody are Tulu speakers, I don’t think so as I’ve never heard of it.
That seems more like an argument for free higher education rather than restricting what corpuses a deep learning model can train on