Human-Centered AI
Isabelle Levent and
Human-Centered AI
Research talk: Prompt tuning: What works and what's next
youtube.com
Tendency to evaluate humans vs AI, rather than AI vs the human system. See also US vs UK driving accidents.
A much better way of thinking about them is as a technology that allows humans to access information from many other humans and use that information to make decisions.
Julien Crockett • How to Raise Your Artificial Intelligence: A Conversation With Alison Gopnik and Melanie Mitchell
on metaphors for LLMs
Sam Lessin on LLMs
If we want to understand what AIs are going to look like, I think the proto AI that we have are corporations. Corporations are sort of these funny little beasts. They’re not small. I guess they’re not little beasts, but they’re strange. It takes special training to have humans be able to fit within them. They’re made out of humans mostly but... See more
Recode Staff • Full transcript: Internet Archive founder Brewster Kahle on Recode Decode
In the most practical sense, we are now much less limited by ideas than ever before. Even people who don’t consider themselves creative now have access to a machine that will generate innovative concepts that beat those of most humans (though not the most creative ones). Where previously, there were only a few people who had the ability to come up... See more
Ethan Mollick • Automating Creativity
This is a common error, which existed long before AI. In fact, generating (or selecting) good ideas is a key challenge. LLMs so far seem to be about as good as the internet at generating lots of quite generic ideas - those who can select the ones that match their context (and yes, then, execute on them) are the ones who will have a chance to succeed.