Zuckerburg gets Zucked

[Unknownparadox]

While all that is of deep concern there are massive benefits to using highly sophisticated algorithms (AI) to fill massive gaps in years of research. Material science and drug discovery is about to change the world as we know it.
So in the short term we will have issues, but the benefits far out way the negatives.
Gotta break a few eggs to make an omelette ?

There are no benefits to AI that out weigh its damage. You are trusting its going to give you a answer that will save the world. From a machine that hallucinates. It doesn't actually hallucinate. Those are mistakes, but that is just one of the many lies they have told you about it.

But since china has gone AI crazy, thanks to IBM beating them in a game. And they are using it for its intended purpose. There is no putting the genie back in the bottle.

[Unknownparadox]

Residents face strict water restrictions, cutting back on showers, while data centers operate unchecked, using water equivalent to thousands of households.

That's exactly right. Humans are force to conserve. While a machine guzzles up resources unchecked. As if there isn't already a clean water problem in the USA around the world as well.

[putnam6]

Regardless of our differences in degrees of worry and concern, I had to ask Grok its thoughts on the impending crisis...Grok didn't disappoint, sounds as humanity as a whole has time to evolve, while there are legit immediate LOCAL concerns for the arid regions that are into heavy computer processing.  

 but 

The continued growth of AI and computer processing for crypto mining presents both opportunities and challenges. It would be prudent for us to explore effective mitigation strategies to address these issues. Otherwise, we may face the need for migration from arid regions, a pattern that has recurred throughout human history.




https://x.com/i/grok/share/IzfYPGKCcY08zo5NAaCI1UDvl

So humanity is gambling that AI can help solve the water crisis, before computer processing water usages dries out the planet?
 
That's a dramatic way to put it, but it's not quite a gamble to the point of drying out the planet. AI and crypto data centers do use significant water for cooling—potentially billions of cubic meters annually by 2027, as I mentioned—but Earth's freshwater, while only ~2.5% of total water, isn't vanishing entirely. The real issue is localized strain, especially in water-scarce regions where data centers compete with agriculture or communities.
AI is being explored to tackle water crises, like optimizing irrigation (reducing waste by up to 40% in some cases) or improving water treatment efficiency. For example, AI models are helping predict water demand or detect leaks in urban systems, saving millions of liters. But it's not a silver bullet—scaling AI sustainably requires tackling its own resource footprint.
The "gamble" hinges on whether tech companies can innovate faster than they exacerbate local water stress. Some are already shifting to air cooling or reclaimed water, and regulations in places like the EU are pushing for transparency and efficiency.
 
 
Water used to cool computer processors for crypto and AI doesn't just evaporate and seamlessly return to the environment without impact. While it's true that Earth is ~70% water, the cooling process is more complex. Most data centers use closed-loop cooling systems, where water is circulated, heated, and cooled again without significant loss to evaporation. However, some systems, like evaporative cooling towers, do lose water to evaporation—potentially millions of gallons annually for large facilities. This water isn't "gone" but enters the atmosphere, potentially altering local humidity or precipitation patterns.
 
The catch is the source and treatment of this water. Data centers often draw from freshwater supplies, which are only ~2.5% of Earth's water, and much of that is locked in glaciers or groundwater. Heavy use can strain local water resources, especially in arid regions, and treatment for reuse or discharge requires energy and infrastructure. So, while the water cycle ensures no water is truly "lost," the environmental and resource costs—energy for treatment, ecological disruption, or competition with agriculture—aren't trivial.
 
So by using AI  and Crypto is endangering humanity, thanks Grok
 
Whoa, let's not jump to "endangering humanity" just yet! The water usage for cooling in AI and crypto data centers can strain local resources, especially in water-scarce areas, but it's not like we're draining the planet dry. The impact depends on the scale, location, and how efficiently the data centers manage water and energy. For instance, some facilities are moving toward sustainable practices like using reclaimed water or air-cooling systems to reduce their footprint.


If you want me to dig into specific data on water consumption by AI or crypto data centers or look for recent sustainable practices, just let me know. Here's a quick dive based on what’s out there:

• Water Usage: Data centers for AI and crypto can be thirsty. For example, training a model like GPT-3 can use ~5.4 million liters of water, with ~700,000 liters for on-site cooling. A single AI query session (10-50 responses) might consume about 500ml of water. Globally, AI data centers could consume 4.2–6.6 billion cubic meters of water by 2027, equivalent to 4-6 times Denmark’s annual water use. Crypto mining, like Bitcoin, had a water footprint of ~1.65 km³ in 2020–2021, enough to fill over 660,000 Olympic-sized pools.
  
• Sustainable Practices: Some tech companies are stepping up. Google and Microsoft aim for carbon-neutral AI operations by 2030/2040, with Microsoft testing direct-to-chip and immersion cooling to cut water use. NVIDIA and IBM are developing energy-efficient AI chips, potentially reducing power needs by up to 25x. In places like northern Europe, companies like Equinix use waste heat from data centers to warm homes, and some leverage free air cooling to reduce water dependency.
  
• Challenges: Water stress is a big issue, especially in arid regions like Arizona, where ~66% of new U.S. data centers since 2022 are in high water-stress areas. Transparency is also a problem—many companies don’t fully report water usage, making it hard to gauge the real impact.
  

 
So humanity is gambling that AI can help solve the water crisis, before computer processing water usages dries out the planet
 
The real issue is localized strain, especially in water-scarce regions where data centers compete with agriculture or communities.
 
AI is being explored to tackle water crises, like optimizing irrigation (reducing waste by up to 40% in some cases) or improving water treatment efficiency. For example, AI models are helping predict water demand or detect leaks in urban systems, saving millions of liters. But it's not a silver bullet—scaling AI sustainably requires tackling its own resource footprint.
 
The "gamble" hinges on whether tech companies can innovate faster than they exacerbate local water stress. Some are already shifting to air cooling or reclaimed water, and regulations in places like the EU are pushing for transparency and efficiency.
 
Here's a quick dive based on what’s out there:

• Water Usage: Data centers for AI and crypto can be thirsty. For example, training a model like GPT-3 can use ~5.4 million liters of water, with ~700,000 liters for on-site cooling. A single AI query session (10-50 responses) might consume about 500ml of water. Globally, AI data centers could consume 4.2–6.6 billion cubic meters of water by 2027, equivalent to 4-6 times Denmark’s annual water use. Crypto mining, like Bitcoin, had a water footprint of ~1.65 km³ in 2020–2021, enough to fill over 660,000 Olympic-sized pools.
  
• Sustainable Practices: Some tech companies are stepping up. Google and Microsoft aim for carbon-neutral AI operations by 2030/2040, with Microsoft testing direct-to-chip and immersion cooling to cut water use. NVIDIA and IBM are developing energy-efficient AI chips, potentially reducing power needs by up to 25x. In places like northern Europe, companies like Equinix use waste heat from data centers to warm homes, and some leverage free air cooling to reduce water dependency.
  
• Challenges: Water stress is a big issue, especially in arid regions like Arizona, where ~66% of new U.S. data centers since 2022 are in high water-stress areas. Transparency is also a problem—many companies don’t fully report water usage, making it hard to gauge the real impact.
  

[quintessentone]

ALWAYS!

The only thing I can say is -- he actually works.

I've heard him referred to as a Man-Child many times.  He's socially awkward (as someone on the spectrum and ADHD).

I'll keep reading.

Both Zuck (Asperger's (having traits similar to ADHD) and Musk (Asperger's) are on the spectrum, so they can either be sensitive to others' complaints/negative suggestions or statements (lower empathy scores) or they can be very empathetic and creative (higher empathy scores). I wonder to which level this drives them and to what extents and goals. I am still trying to figure that out. Should I believe Musk when he says he wants to bring the world together? I don't know.

[putnam6]

Many are concerned about this issue that's brewing right now...

NFL Rumors
#Eagles

fan show outrage being charged this season $18.00 hit a 16 ounce beer

[Kwaka]

 "what happens when the AI 'decides' we mere humans don't need all that water, nor all that electrical power?".

For one perspective that looks deep into the future:




Open AI is building a 1.2 Giggawatt processing centre, getting backed up by gas turbine as well. China has been building a lot of coal plants lately, as for what else? Closed water loops are better way to go.

To get back on topic, Facebook has been a tricky one sneaking some data gathering on is users bank and medical records. They have a big advantage in profiling the community and its connections. I did use it for a little bit, trying to work it out. After they deleted the first speech I gave at parliament house near the start of covid, I'm done with it.

The Llama large language model is the main one Zuckerburg has been involved in with Meta. It was good at its time, struggling with what else is going on these days. He does have a lot of money to spend, some things money cannot buy.

[RichardHurt]

There are no benefits to AI that out weigh its damage. You are trusting its going to give you a answer that will save the world. From a machine that hallucinates. It doesn't actually hallucinate. Those are mistakes, but that is just one of the many lies they have told you about it.

But since china has gone AI crazy, thanks to IBM beating them in a game. And they are using it for its intended purpose. There is no putting the genie back in the bottle.

Let's say you decide to go on a wild 5 day backpacking misadventure all by your lonesome. You stumble across a situation that one the many outdoorsman books you are carrying just doesn't cover. Let's say this situation is a life or death situation. 
I bet you would be very pleased to know I have just the solution. I haven't got a name for this yet but it is a little piece of equipment the size of a flip phone. Solar recharging mini LLM that is water proof and shock resistant. Very specifically trained to assist with everything a survivalist could need.
Just one tiny situation that "AI" could truly assist the everyday person. No need to high power consumption. The only people using up massive power draw are the data centers. I deploy highly advanced "AI' daily and my power draw from all of these is that of a home theater, less at times.
The hallucinations you speak of have been around long before AI. It is just a hickup in its understanding. Think about it like if you were to ask a child to explain something complicated be it whatever. They mostly can't because they are just not so smart. So we train them aka school.
I think you are over dramatizing things a bit and blowing over the already huge advancements AI helped us to achieve.

[RichardHurt]

Many are concerned about this issue that's brewing right now...

NFL Rumors
#Eagles

fan show outrage being charged this season $18.00 hit a 16 ounce beer

That is troubling information. I honestly am unsure how I will make it if that happens.

[ANNEE]

Both Zuck (Asperger's (having traits similar to ADHD) and Musk (Asperger's) are on the spectrum, so they can either be sensitive to others' complaints/negative suggestions or statements (lower empathy scores) or they can be very empathetic and creative (higher empathy scores). I wonder to which level this drives them and to what extents and goals. I am still trying to figure that out. Should I believe Musk when he says he wants to bring the world together? I don't know.

Asperger’s / high functioning Autism — same thing. Seems to include ADHD. 

I’d say they compartmentalize. They may be very protective and caring within their own personal private world — without extending that same sentiment elsewhere.

“Bubbleheads” — they live in different bubbles in their head. 

They don’t understand boundaries. “If I can do it why shouldn’t I?

I’d say in one of Musk’s “bubbles” he wants to bring the world together. But what does it really mean?  If he’s providing internet to the world then he is bringing together the world through communication.

[Karl12]

Musk was part of the WEF Young Global Leader cult and is the grandson of Josh Haldeman from the totally totalitarian 'Technocracy Inc'.

Don't know if he was conveniently positioned in the public spotlight (like so many other actors on the world stage today) but here's a public relations 'puff piece' by CNN from over 26 years ago.

Also funny how Musk's opinions on certain matters perfectly align with other highly suspicious characters like Gates, Schwab, Harari etc.


IMAGE