@RimaSukhadia Got a chance to try out v14.3.3 in a diverse range of situations and it did much much better then v14.3.2. This was in Cybertruck, only issue was it trying to park in handicap spot.
Odd conservative behavior in FSD v14.3.2 w/ Cybertruck - had been driving along fine with a Sheriffs vehicle behind me for a bit and suddenly FSD decided it needed to pull over, even though no flashing lights. Had to intervene. To test I quickly reengaged FSD and it was fine. @Tesla_AI
About six hours to go for Starship Flight 12 and the excitement is building! People are setting up at Isla Blanca Park at the south end of South Padre Island and despite early rain showers, conditions are cool, light winds and improving.
Clouds are the main issue right now but visibility is very good!
Launch window begins at 5:40 PM CST and runs 1 & 1/2 hours.
I’ll be live streaming with @esherifftv (Ellie in n Space) starting about 1 hour before the planned launch time.
Good luck @SpaceX & Starship team! 🤞🚀🍀
Data centers aren’t stealing your water.
Even if the total water draw of data centers triples by 2030, they’d require just 8% of the water consumed by American golf courses.
@dodgeblake interviewed @AndyMasley, the man who’s been debunking AI water doomerism. Full story 👇
🚨 BREAKING: SpaceX has reportedly selected Goldman Sachs to lead its record-breaking IPO
Morgan Stanley, Bank of America, Citigroup, and JPMorgan are also expected to participate.
The IPO prospectus could reportedly go public as soon as Wednesday.
SpaceX was recently valued around $1.25T, potentially making this one of the biggest IPOs in history. 🚀 $SPCX
“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:
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