Human-Centered AI
Isabelle Levent and
Human-Centered AI
The problem with AI tools today is that they don’t take your judgment into account
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Sam Lessin on LLMs
Large Language Models Understand and Can Be Enhanced by Emotional Stimuli
Xing Xiereadwise-assets.s3.amazonaws.com
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.
Astrophysicist Neil deGrasse Tyson has a beautiful explanation as to why Van Gogh’s masterpiece has resonated for over a century.
“You know what I like about The Starry Night?
It’s not what Van Gogh saw that night, it’s what he felt.
[The painting] is not a representation of reality and anything that deviates from is reality that has filtered through ... See more
“You know what I like about The Starry Night?
It’s not what Van Gogh saw that night, it’s what he felt.
[The painting] is not a representation of reality and anything that deviates from is reality that has filtered through ... See more