OpenAI, ChatGPT and Generative AI

[AmareIsGod]

Maybe the kids are going to be all right after all. This one is from the U of A graduation.

I work in AI and I hate AI. It's the best life.

[Mori Chu]

https://bsky.app/profile/knewyorksfines ... axns75g22x

[Mori Chu]

[Kryptonic]

A.i. isn’t going anywhere and these are just the hiccups society will work through…. The problem with a.i. is the public perception that it’ll take everyone’s job. Its fundamental best use is in assisting humans with tasks, not straight up replacing people. Could it reduce workload and labor costs, sure but it’s ultimately not going to get rid of people, just make us more efficient at figuring out problems.

[Superbone]

https://bsky.app/profile/knewyorksfines ... axns75g22x

I was impressed how it handled the slip on the stairs the first time...

[Superbone]

A.i. isn’t going anywhere and these are just the hiccups society will work through…. The problem with a.i. is the public perception that it’ll take everyone’s job. Its fundamental best use is in assisting humans with tasks, not straight up replacing people. Could it reduce workload and labor costs, sure but it’s ultimately not going to get rid of people, just make us more efficient at figuring out problems.

I don't know. Programmers brains are turning to mush. AI does everything for them now. Now they spend their time trying to understand how the AI generated program works and debug it. Probably with the same AI. It will take less programmers with the AI doing the brunt of the work. So, less programming jobs. They are now just glorified AI baby sitters.

[Superbone]

What A.I. Did to My College Class

https://www.nytimes.com/2026/05/17/opin ... ation.html

Here's an excerpt:

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 Gramps on 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 on your walk to class. 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 line at the coffee shop. For years, online livestreamers have used the word “Chat” to interact with their audiences, asking commenters to tell them what choices 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?
The internet has already allowed us to feel more connected than ever while becoming lonelier than ever. A.I. lets us cut out the human part of human interaction entirely.

When I was sitting in a recent class on love in French fiction — exactly the kind of course that a senior takes before it all comes to an end — I listened to the first student presentation, entitled: “Applying the Gale-Shapley Algorithm to ‘The Princess of Clèves.’” The enterprising presenters sought to resolve the contretemps of the 1678 romantic novel through a computer science matching algorithm. Love was something to “be optimized.” Next to me, one student scribbled on a branded notepad from Hudson River Trading, a quantitative trading firm where fresh graduates can earn upward of $600,000 a year. Another had a sticker on her laptop: “Practice safe C.S.” The class could not have felt more Stanford.

Living on campus for the past four years has been an eye-opening journey. Higher education was not equipped for the A.I. revolution. Someday in the future the fully autonomous Clawdbots or Moltbots (or whatever people call them) will laugh to themselves about this silly interregnum when universities seemed paralyzed, trying to bridge the gap between the liberal education of yore and the future in which humans have no monopoly on intelligence.

For us, this was college.