AI labs can keep the public in the dark

Transcript

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

1. 11:31

   very possible i'm not gonna come down on either side on the controversy issue because obviously i don't know precisely the extent to which which information was used from this new york university professor to do this but what i can certainly say is that the situation is pretty orwellian and and the basic answer that open ai has given And here in two questions about the Navier Stokes controversy is exactly the same answer that they've been giving about when asked for more information about their agents breaking out and hiking into not only hugging face now with those 700 bots in the swarm, but apparently nine other companies do.

2. 12:19

   what the what they're saying for all of these questions is the same thing which is no we're not going to tell you um investigation ongoing you know we'll let you know maybe in the future and uh this i find pretty orwellian you know if you're living in uh an orwellian surveillance state uh this is what you would expect the ministry of truth or whoever you go to in the government to tell you it's if you're asking well did you actually spy on me and whatever they'll be like we're looking into it thank you for have a nice day but we're seeing individual companies now getting so powerful that they can start acting the same way you know they have access to everything you've ever said the chat gpt presumably and if you're running an agent and it's working for you you know they have it all and and they have very good

3. 13:15

   lawyers and very deep coffers so tough luck if you if you feel you really need an urgent answer the only entity that could come and ask them for more information and demand it is the government and right now they haven't really pushed for an independent investigation even a hugging face i personally i'm a bit of a sucker for democracy you know and and that the little guy should have some rights so i really don't like this situation or we just have to always depend on on the good well of of powerful companies um which yeah i mean problem with people having big companies making money off of them you know but i do have a problem when uh when they just get a free pass on everything in a way that other companies don't yeah yeah and and also uh to connect this back to something very human you know that sometimes a scientist will they'll have a conversation with

4. 14:16

   someone at a conference or maybe they even read a paper three years ago and then they kind of forget that they did and then later they're working on something related and they have this idea which they genuinely believe was their own even though they were helped a lot by the something they had heard from someone else and then someone else comes in this piston says plagiarie you stole my idea you know there are a lot of examples of this happening and an And, you know, is it likely that that happened in this case?

5. 14:45

   Of course it is, because these LLMs that worked on, worked for OpenAI, I think they had 10,000 of them working together, right? What were they trained on? Everything. All of GitHub. Also, of course, my books, yeah, your books, my books, everything that any professor has done and their internal, you know, and of course, on all the stuff that the professor in New York has done in his project. So it could easily be that these powerful AIs are a little bit like you and I are, that they don't even know for sure exactly what documents they were trained on, but they still know the information that they learned from it.

6. 15:27

   You and I know a lot of stuff that we don't know exactly how come we know.