STUDENTS* GENIUS STINGINGS : A.I.'S STANFORD ESSAY

MOST students call OpenAI's model '' Chat.'' Many refer to it familiarly consulting with Chat repeatedly over the course of a day, letting it decide how to text a situationship and confidently repeating hallucinated assertions while in time at the coffee shop.

For years, online livestreamers have used the word '' Chat '' to interact with their audiences, asking commenters to tell them what chances to make in video games.

That students now use the same name for A.I. feels appropriate. What really is the distinction between a nameless, faceless human you'll never meet except over the internet and a statistical approximation of the same thing?

MONEY in Silicon Valley has become a game of almost meaningless numbers bandied about in a breathtakingly casual manner.

It contributes to the whirlpool effect students at Stanford have felt around tech and lucre - if your roommate can drop out and start a nine figure company why shouldn't you profit too ?

Why put all your energy into being a student when it seems like everyone around you is getting rich?

Yet the same Stanford dropouts who seem to be making the most money right now are often working on the very technology that is worsening life for their former classmates.

Even in the heart of the Silicon Valley techno utopia, most people know that our tech is bad for us, or at least that it can be. A.I. is often a tremendous productivity boost, yet my friends increasingly refer to both short-form video and their A.I. chat logs in the language of addiction.

It's becoming baked in, shaping our generational character. We are a digital generation, growing only more attached to the virtual world.

The technology behind A.I. is wickedly clever, and back when large language models were still a research experiment - before they propped up the U.S. economy - my friends and I bubbled with excitement.

I remember trying to explain to my grandfather, who has since died, that ''backpropagation,'' a technique vital to A.I. grew out of attempts to quantitatively prove Freud's theories about the '' flow of psychic energy ''.

I don't think I really sold Grandpa why he should care - but to me, the development of A.I. was human genius at its finest, and I couldn’t wait to open the arXiv links people would text me containing the latest and greatest research.

The output of a model didn't matter anywhere near as much as how it was designed.

Now, the opposite is true. A.I. is an application that people actually rely on, and companies have become less and less transparent about its design. What counts is the immediate response you receive when you send a reading to ChatGPT to be summarized in your walk to class.

This Master Publishing continues. !WOW! thanks The New York Times and Theo Baker.