Human-Centered AI
Isabelle Levent and
Human-Centered AI
From My Data to Our Data: A Proposal to Equitably Distribute Wealth in a Digital Economy
Hanlin Lilive-future-of-building-wealth.pantheonsite.io
funny but true take on AI
Sam Altman on Joe Rogan key take-aways:
Regardless of UBI or any kind of money redistribution, people will crave agency, and self-determination, to play a role in architecting the future with the rest of humanity and creating meaning
Solving the economic problem is not enough, the real... See more
Hayao Miyazaki Calls Artificial Intelligence Animation ‘An Insult To Life Itself’
Vikram Murthiindiewire.com
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
This leaves us with some low-hanging fruit for humanness. We can tell richly detailed stories grounded in our specific contexts and cultures: place names, sensual descriptions, local knowledge, and, well the je ne sais quoi of being alive. Language models can decently mimic this style of writing but most don't without extensive prompt
... See moreMaggie Appleton • The Expanding Dark Forest and Generative AI
The model was helpful—but only to an extent. They found that while AI improved the output of less creative writers, it made little difference to the quality of the stories produced by writers who were already creative.
Rhiannon Williams • AI can make you more creative—but it has limits
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.