One giant leap

[McParadigm]

It’s always hard to predict the future, but the two things I find impossible to disbelieve are:

1. blue collar workers will be negatively impacted by the simultaneous contraction of white collar businesses/workers as clientele and the sudden influx of people more desperate than them into their workforce.

2. the voices that seek a proactive solution to this will never be as loud, aggressive, or organized as the voices that will try to turn workers against each other.

[96583UP]

yep fair enough

prostitution is the only safe path

[E.H. Ruddock]

I find impossible to disbelieve are:

My hangover this morning prevented me from quickly deciphering this part of your sentence.

[Bi_3]

It’s always hard to predict the future, but the two things I find impossible to disbelieve are:

1. blue collar workers will be negatively impacted by the simultaneous contraction of white collar businesses/workers as clientele and the sudden influx of people more desperate than them into their workforce.

2. the voices that seek a proactive solution to this will never be as loud, aggressive, or organized as the voices that will try to turn workers against each other.

Not to sound like a borken record here but I suspect the last decade of intersectional policy in the public and private sectors put the nail in that coffin.

[BurtReynolds]

[Simple Torture]

All self-driving cars need Connecticut drivers’ licenses?

[spike]

It’s always hard to predict the future, but the two things I find impossible to disbelieve are:

1. blue collar workers will be negatively impacted by the simultaneous contraction of white collar businesses/workers as clientele and the sudden influx of people more desperate than them into their workforce.

2. the voices that seek a proactive solution to this will never be as loud, aggressive, or organized as the voices that will try to turn workers against each other.

we need to hardcode AI with the need to shit. that's what saves the future.

[spike]

Now this seems like a good use of AI.

https://www.cbsnews.com/news/google-pro ... t-seattle/

[BurtReynolds]

[blueviper]

I remember those ads back then. Pretty wild they’ve all come true.

They should have added:

“Have you ever argued about drum sounds on a rock album for two months with a few dozen people from around the world. You will!”

“Have you ever thought that Star Wars would ever suck? You will!”

[BurtReynolds]

Seems like the only thing they got wrong was the fact that AT&T didn't bring us any of those things.

[blueviper]

Seems like the only thing they got wrong was the fact that AT&T didn't bring us any of those things.

they were too busy changing their logo and deciding if they wanted upper or lower case letters

[contamination]

That video reminds me of this, also from 1993:

[tragabigzanda]

FUCK ICE

[Bi_3]

!!!NSFW!!!

[BurtReynolds]

My innermost feelings set to music.

[Bi_3]

My innermost feelings set to music.

[contamination]

I thought there were supposed to be more efficient algorithms that would solve all the AI energy consumption problems. Well it sure doesn't look like it at the moment:

https://www.theguardian.com/technology/ ... -emissions

The abstract here (link is from that same article) https://arxiv.org/abs/2304.03271 about the AI water usage is also pretty worrying. I wonder if and how that has changed since the article was published:

The growing carbon footprint of artificial intelligence (AI) models, especially large ones such as GPT-3, has been undergoing public scrutiny. Unfortunately, however, the equally important and enormous water (withdrawal and consumption) footprint of AI models has remained under the radar. For example, training GPT-3 in Microsoft's state-of-the-art U.S. data centers can directly evaporate 700,000 liters of clean freshwater, but such information has been kept a secret. More critically, the global AI demand may be accountable for 4.2 -- 6.6 billion cubic meters of water withdrawal in 2027, which is more than the total annual water withdrawal of 4 -- 6 Denmark or half of the United Kingdom. This is very concerning, as freshwater scarcity has become one of the most pressing challenges shared by all of us in the wake of the rapidly growing population, depleting water resources, and aging water infrastructures. To respond to the global water challenges, AI models can, and also must, take social responsibility and lead by example by addressing their own water footprint. In this paper, we provide a principled methodology to estimate the water footprint of AI models, and also discuss the unique spatial-temporal diversities of AI models' runtime water efficiency. Finally, we highlight the necessity of holistically addressing water footprint along with carbon footprint to enable truly sustainable AI.

[BurtReynolds]

With all the money they are burning through (for what is essentially search, but dumber), I don't see how all this survives once the hype dies down. But the hype can last a long time I guess.

[E.H. Ruddock]

for what is essentially search, but dumber.

THANK YOU.