nixCraft 🐧Feb 24

AI Added ‘Basically Zero’ to US Economic Growth Last Year, Goldman Sachs Says https://gizmodo.com/ai-added-basically-zero-to-us-economic-growth-last-year-goldman-sachs-says-2000725380 😂😂😂

So far AI has done more damage than adding any true value to productivty unless you consider the following as plus points:

* Getting staff fired
* Stealing journalist, book authors, or artists’ work
* Environment impact
* Hallucinations that caused harm and loss of life
* Creating undressing images of minors and woman
* The list list endless and you have to be psychopaths to like this

AI Added 'Basically Zero' to US Economic Growth Last Year, Goldman Sachs Says

Imported chips and hardware mean the AI investments are translating into US GDP growth.

Gizmodo
Show threadscotty86 🇺🇦🕊️
@nixCraft Big Tech LLMs maybe. But "AI" is waaaay more than this mainstream hype chatbots.
Feb 24 at 5:06pmWeb
Show threadBill ZaumenFeb 24

@scotty86 @nixCraft As an example of machine learning being useful, see the following article, which mentions how machine learning has reduced the computational resources needed for some tasks.

https://science.psu.edu/news/machine-learning-takes-starring-role-in-exploring-universe

Machine learning takes starring role in exploring the universe | Eberly College of Science

Penn State astronomers use machine learning to vastly improve astronomical analyses.

Show threadscotty86 🇺🇦🕊️Feb 24

@bzdev Astronomy is an excellent example. 👍
There are several others - protein folding, climate modeling, particle physics, medical imaging....

I would welcome it if the media differentiated between "AI" and conventional chatbots. @nixCraft

Show threadR.L. LEFeb 26
@scotty86 @bzdev @nixCraft These are immediately understandable, yes. But do they also get hyperscaled, too big to fail investments with tens of millions of envisioned users, such as LLMs?
I think it may be difficult to draw an accurate line, but it's important.
Show threadscotty86 🇺🇦🕊️Feb 26
@herrLorenz @bzdev @nixCraft Yes they already are affecting millions of people and generating money. We just don't realize it. We don't care how medical images are processed. We don't care how vaccines are researched.
This usecases don't need to be too big to fail, because they have a real purpose.