Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

651–652 of 652 posts

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#651

Post by habinero » Sun, Feb 16, 2025, 7:21 AM UTC

gravatron wrote: post #637

habinero wrote: post #636

Earlier quoted context omitted.

I would consider all of that fancy autocomplete. If it's just helping you type boring boilerplate things you would have typed anyway, that's autocomplete. It's neat, but it's not the paradigm shift people seem to think it is. Copilot mostly just replaces StackOverflow searches for me.

I was a little too young to really remember the early internet era and the skeptics, but looking back at that era in hindsight, it's interesting to see the commentary from those who thought it was a fad, or not impressive, or did everything to downplay what was so obviously one of the biggest technological advances in human history. I can't help but feel I am witnessing these same type of comments and viewpoints in r…

I do remember those days, and the idea that people thought the internet was a fad is wildly overblown.

The reason was: (1) it wasn't new, wide access to it was new and (2) there was clear value to it that could be explained to others and used immediately

Neither of those are true for LLMs. It just has a lot of weird hype men who get huffy and DARVO if you say what you honestly think lol

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#652

Post by BehindBlueEyes » Fri, Feb 21, 2025, 4:26 PM UTC

vladms wrote: post #53

einrealist wrote: post #49

This website is so important! Now ask yourself why AI companies don't want to be regulated or scrutinized. So many companies (users and providers) jump on the AI hype train because of FOMO. The end result might be just as destructive as this mythical "AGI". Edit: I am not saying to not use the technology. I am just on the side of caution and constant validation. The technology has to serve society. But I fear this hy…

My impression is that companies in most of the fields do not like to be regulated or scrutinized, so nothing new there. While observing some people using LLMs, I realized that for a lot of people it really makes a huge difference in time saved. For me the difference is not significant, but I am generally solving complex problems, not writing nicely formatted reports where words and not numbers are relevant, so YMMV.

anecdata n=1: LLMs lack understanding of context, stakeholder sensitivities and nuance in word usage, to write reports with the required depth and at the quality bar I need. Maybe it is faster at generating BS reports with no substance, but I can still write my reports much better and much faster than LLMs so far, probably because the reports are merely the artefact of solving a complex problem.

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