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The AI Unbundling
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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.
As the expression of ideas becomes exponentially easier, the ideas themselves become more of the differentiator (yes, I think “Prompt Engineering” will become a discipline in and of itself!). Good ideas aren’t derived solely from logic and patterns of the past; they’re also the product of human traumas, mistakes of the eye, and uniquely human inge
... See moreScott Belsky • Creating in The Era of Creative Confidence
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Of course, the reality is more complex, and it’s better to think in terms of automation and autocomplete than vertical software and replacing designers, but whole layers of grunt work will be removed, just as they were with GUIs and SQL.
Benedict Evans • Benedict's Newsletter: No. 547
Jimmy Cerone added
Not sure if this is positive, but the most coherent take on AI I’ve seen so far. Realistic but not panicked.
Of course, there are major ethical issues to work out—leaps forward in technology often walk a fine line between deeply-impactful and dystopian. Among the questions we need to figure out:
- Who is responsible for AI’s mistakes?
- Who is the creator of an AI work? Is it the AI? The developers? The person who wrote the prompt? The people whose work was use
Rex Woodbury • AI in 2023: The Application Layer Has Arrived
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