Evidence receipt / belief
Published · transcript-backedShawn Wang: belief
1 Jun 2023 Latent Space Building the AI × UX Scenius — with Linus Lee of Notion AI
“I think for auto GPT and those kinds of agents in particular, anything that is destructive, you need to prompt for, I guess, or like check with, check in with the user.”
Source trail
Everything needed to verify it.
- Speaker
- Shawn Wang
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 1 Jun 2023
- Publisher
- Latent Space
Transcript context
…he AI is just in like the autofilled cell or in the AI block. And you can, you can tell that's written by the AI and things outside of it, you can kind of reasonably assume that it was written by you. I think anytime you have sort of an unbounded action space for, for models like agents, it's especially important to be able to answer those questions easily and to have some sense of security that in the same way that you want to know whether your like coworker or collaborator has access to a document or has modified a document, you want to know whether an AI has permissions to access something. And if it's modified something or made some edit, you want to know that it did it. And so as a compliment to constraining the model's action space proactively, I think it's also important to communicate, have the user have an easy understanding of like, what exactly did the model do here? And I think that helps build trust as well. Yeah. I think for auto GPT and those kinds of agents in particular, anything that is destructive, you need to prompt for, I guess, or like check with, check in with the user. I know it's overloaded now. I can't say that. You have to confirm with the user. You confirm to the user. Yeah, exactly. Yeah. Yeah. That's tough too though, because you, you don't want to stop.…
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