- @deephdave
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Some companies are going even further upstream to the training data itself. By analyzing what goes into a model, their aim is to estimate how much a generated track borrows from specific artists or songs. That kind of attribution could enable more precise licensing, with royalties based on creative influence instead of post-release disputes.
There are some monotonous tasks that should be automated using AI so that we can focus on other stuff that matters. Learning to stay creative and curious is more important in this proliferating age of AI.
Let AI be our assistant and not the replacement.
It will be interesting to see how Digg thrives when there is already Reddit and Hacker News exist.
Just got an invite to be part of Digg Groundbreakers:
“Also: you probably noticed there’s a $5 charge to join. That’s not about access. It’s a simple way to keep things human—a small hurdle that helps make sure the people coming in are, well, actual people. No subscriptions. No gimmicks. Just a quick check at the door.”