Kolby

209 posts

Kolby banner
Kolby

Kolby

@LumenWakes

Bohm. Pribram. The Nag Hammadi texts. Lucid dreaming as personal epistemology. The same idea. Three thousand years. Different doors. Run the experiment yourself

Katılım Şubat 2026
44 Takip Edilen21 Takipçiler
Dr. Disclosure
Dr. Disclosure@Docneuroeo·
Please Keep in mind Trump was the President that created the Space Force in his first term in Office. He knows for sure something is coming our way.
Dr. Disclosure tweet mediaDr. Disclosure tweet media
English
18
18
89
2.5K
Kolby
Kolby@LumenWakes·
@BasedMikeLee You support this joke of an administration? Of course you do you wanted to sale public land youre obviously corrupt.
English
0
0
0
70
Mike Lee
Mike Lee@BasedMikeLee·
Not sure what this means But I’m here for it
Mike Lee tweet media
English
245
164
2K
38.1K
Concerned Citizen
Concerned Citizen@yepyoureanidiot·
@LumenWakes @adam_dorr You are only pissed because you’re too low agency and unskilled to try and do anything about it. Lots of us are fighting the concentration of capital by actually competing against frontier labs. You just want to give up. Fuck that.
English
1
0
0
20
Adam Dorr
Adam Dorr@adam_dorr·
Even if you’re worried about the disruption of labor, opposing AI and datacenters (and soon, robotics) is just super, super dumb. A prediction: we will eventually discover that “grassroots” opposition to AI and datacenters is being funded by America’s adversaries.
English
155
22
230
9.1K
Kolby
Kolby@LumenWakes·
@erikfinman The Internet is a giant tutor and people can’t read and write anymore
English
1
0
0
8
FINMAN
FINMAN@erikfinman·
@LumenWakes Information isn’t intelligence. That’s exactly why tutors matter.
English
1
0
1
6
Kolby
Kolby@LumenWakes·
@IdleAn94328 We don’t need them and we don’t want them. Call uswhatever you wantwe don’t care
English
0
0
0
13
Mark 🇺🇲
Mark 🇺🇲@IdleAn94328·
You aren't anti-data center if you believe that it's time to setup a framework that ensures that people are prioritized over technology. There are a lot of accounts that I suspect are paid calling you low IQ or anti data center if you have reasonable concerns. Low IQ would be continuing like we are without any consideration of their impact on society and the environment and without a framework.
English
23
14
80
1.8K
Kolby
Kolby@LumenWakes·
@SkyeSharkie No one believes that and you are a full blown tard if you think these data centers are needed or good.
English
1
0
0
82
Utah teapot 🫖
Utah teapot 🫖@SkyeSharkie·
how fucking braindead do these people have to be to believe that any single installation of anything can raise an entire state's temperature by 28 degrees? A giant multi-mile wide continuously active wildfire can't even increase a state's temperature by that much. Lmao. Nvidia blackwells max out at like 200 degrees F and wildfires go to 2200 degrees F and they think datacenters are going to increase temperature 10x the amount of giant uncontrolled wildfires?
Quick Thoughts@lthlnkso

Why are so many people afraid of data centers?

English
22
15
157
3.6K
Kolby
Kolby@LumenWakes·
@CompedInsults @adam_dorr We’ve been told how technology is going to help us live healthier smarter lives and it’s only made humans stupid and unhealthy. I don’t buy gme premise that we need data centers for software to detect cancers. Thats silly.
English
0
0
0
24
Kolby
Kolby@LumenWakes·
@erikfinman Hmm i don’t think so. Since the access to information has grown with the introduction of the internet humans have gotten dumber.
English
1
0
0
11
FINMAN
FINMAN@erikfinman·
@LumenWakes No. Scarce intelligence keeps people dumb and miserable.
English
1
0
1
18
RAMZPAUL
RAMZPAUL@ramzpaul·
My family has been in America since the 1600s. I am a White man who lives in the South. No apologies. Ever.
English
88
96
2K
17.9K
Kolby
Kolby@LumenWakes·
@toddo But like, why do we need the data centers at all
English
1
0
0
156
🐺
🐺@toddo·
These people think you are stupid. Southern Nevada data centers reportedly used ~716M gallons in 2024. Sounds scary until you convert it: that’s ~2,200 acre-feet. Lake Mead currently holds ~8.2M acre-feet. Nevada's 2024 Colorado River consumptive use was 212,400 acre-feet. So all Southern Nevada data centers combined were about 1% of Nevada’s Colorado River use and about 0.027% of current Lake Mead storage. You can debate evaporative cooling in desert cities. Fine. But pretending Google Henderson is why Lake Mead is low is not serious.
Wall Street Apes@WallStreetApes

All this used to be underwater Lake Mead is on the border between Nevada and Arizona and it’s water levels are now critically low There are many Data Centers that have been put in the Lake Mead area and draw directly from the lake - Google’s Henderson data center consumed roughly 352 million gallons in one year. It directly pulls from the Lake Mead sourced municipal supply - Flexential Data Center facility used around 20 million gallons in one year - Other Data Centers in the area collectively used over 716 million gallons in 2024, with nearly all the water drawing from Colorado River and Lake Mead sources Pair this with droughts, water demand from agriculture and resident use and now there is almost nothing left… just look at this…. The lake is only at about 32% capacity Why is this being allowed

English
30
63
616
27.9K
Kolby
Kolby@LumenWakes·
@neil_chilson We don’t need them and we don’t want them
English
0
0
0
3
Kolby
Kolby@LumenWakes·
@phteocos Part of getting rich and famous is caring about that stuff. I know it’s hard for midwits to believe it but there’s lots of people who don’t care and aren’t impressed by those things.
English
0
0
1
19
teo — e/acc
teo — e/acc@phteocos·
some people are so absurdly intelligent that they fail to get rich/famous
English
69
14
300
11.2K
Kolby
Kolby@LumenWakes·
@erikfinman It’s your fantasy. When life gets worse and people get dumber and miserable remember this conversation
English
1
0
0
19
FINMAN
FINMAN@erikfinman·
@LumenWakes Cheap tutors, doctors, lawyers, engineers. Everywhere.
English
1
0
1
17
Kolby
Kolby@LumenWakes·
@BrianRoemmele But we need clothes we don’t need data centers
English
0
0
0
3
Brian Roemmele
Brian Roemmele@BrianRoemmele·
“THAT DATA CRNTER IS WASTING WATER, STOP ALL DATA CENTERS” I see, let’s talk about that t-shirt you are wearing first or the jeans, the water could support 100s of AI queries or days of computation. In the grand theater of human consumption, few spectacles rival the quiet hypocrisy of decrying data centers while embracing mountains of disposable clothing. Fast fashion: cheap, trend-driven garments churned out in endless cycles, represents a voracious, often invisible drain on water, energy, and ecosystems. Meanwhile, data centers, the engines powering AI and digital life, face scrutiny for their cooling needs. A clear-eyed comparison reveals misplaced priorities: the garment industry’s water use is vast, frequently consumptive or polluting in water-stressed regions, with products destined for landfills after minimal use. Data center water, by contrast, is largely local, often recyclable or evaporative (returning to the hydrological cycle), and supports immense economic and innovative value. It also is just a fraction of the garment industry. Water in the Garment Industry: Hidden Rivers and Polluted Legacies 
The fashion and textile sector consumes staggering volumes of water annually. Estimates range from 79 to 215 billion cubic meters (roughly 79–215 trillion liters), supplying the drinking needs of millions of people. This makes it one of the world’s most water-intensive industries, second only to agriculture in some assessments. Breaking it down garment by garment: 
• A single cotton T-shirt requires ~2,500–2,700 liters of water across its lifecycle (growing, processing, dyeing). 
• A pair of jeans: 7,500–10,000 liters. 
• Leather items push even higher (8,000+ liters for shoes).21 Cotton, which dominates natural fibers, is particularly thirsty. Global averages hover around 8,920 liters per kg of cotton lint (much from rainwater/“green” water, but ~2,344 liters/kg from irrigation/“blue” water in stressed areas like parts of India, Pakistan, and China). Processing and dyeing add 100–150 liters per kg of fabric, often with toxic chemicals. The dyeing phase alone accounts for hundreds of billions of liters yearly and contributes to ~20% of global industrial water pollution. Untreated wastewater laden with dyes, heavy metals, and chemicals flows into rivers, devastating local ecosystems and communities. Fast fashion amplifies this: Production has doubled in recent decades, with consumers buying 60% more clothes than 15–20 years ago, while usage duration drops. About 100 billion garments produced yearly; 92 million tonnes of textile waste generated, much ending in landfills (a garbage truck’s worth every second). In the U.S., landfills received 11.3 million tons of textiles in 2018. Synthetics (polyester ~55–68% of fibers) add microplastics via washing, now a major ocean pollutant. Cheap clothes are worn briefly, discarded, and replaced—embodying “take-make-waste” at planetary scale. This water is not local and often lost or ruined: Irrigation depletes aquifers in arid regions; polluted effluent renders water unusable downstream. The full supply chain spans continents—cotton from India/Uzbekistan, dyeing in Bangladesh/China, exporting environmental costs to vulnerable areas. Data Centers: Local, Cyclical Water Use for Digital Progress 
Data centers primarily use water for evaporative cooling (or increasingly air/closed-loop/immersion systems). Global estimates: ~560 billion liters annually now, potentially doubling or more by 2030 with AI growth: still a fraction of fashion’s footprint and far below agriculture (~70% of global freshwater). U.S. data centers consumed ~64 billion liters directly in 2023. BRAND NEW CLOTHING IS TOSSED IN THE DESERT WITH PRICE TAGS STILL ON IT. All to make the brand look rare. Can’t have poor folks wearing it. Meet the infamous fast fashion “clothing graveyard” (also called the “great fashion garbage patch”) in Chile’s Atacama Desert here: 1 of 3
Brian Roemmele tweet mediaBrian Roemmele tweet mediaBrian Roemmele tweet mediaBrian Roemmele tweet media
English
103
103
388
58.1K