love in the age of algorithm

A very common trope is to treat LLMs as if they were intelligent agents going out in the world and doing things. That’s just a category mistake. 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. We have been doing this for as long a... See more

I want to see more tools and fewer operated machines - we should be embracing our humanity instead of blindly improving efficiency. And that involves using our new AI technology in more deft ways than generating more content for humans to evaluate. I believe the real game changers are going to have very little to do with plain content generation. L

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The old Greek legends tell of Narcissus, a youth so handsome he became besotted by his own reflection. Unable to look away from his image in the surface of the waters, he fell still forever, and was transformed by the gods into a flower. Similarly, as influencers glimpse their idealized online personas reflected back at them on screens, they too ar... See more

Sam Altman says that content curation and the ability to figure out what people want will be the most valuable skills in an AI-enhanced future https://t.co/qmtXKhW6SU

The significance of the shift from “generalized media” to “personalized media” cannot be overstated. Our digital worlds will soon be tailored to our interests in unfathomable ways. On the one hand, personalized experiences are likely to make marketing more effective. Brands have a precious opportunity to make us all feel “known” in our every intera... See more

Some may worry about whether powerful new neural-network models for generating text and images will replace workers and artists. But this can be true only if beauty and creativity are measurable by one-dimensional metrics, if art and human endeavors are static forms whose rules and objectives do not change, if we reject the possibility of meaning a... See more

The vibes are off, but they’re off fundamentally because they focus only on feelings and emotional connections that have already existed. They don’t provide or imagine pathways to new futures; they allow only for an understanding of what feels good or bad based on experiences that have already happened, things that have already been seen.

In other w... See more

Although the practical success of neural networks is still undeniable, it must be observed that their most powerful applications are in domains where rules are set in advance and don’t change over time — where the goals are clearly defined. The way you win a game of chess or Go is fixed and unambiguous. Protein folding is constrained by the laws of... See more