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Techtonic with Mark Hurst on WFMU

Evan Selinger and Albert Fox Cahn, authors, "Move Slow and Upgrade" | Techtonic with Mark Hurst on WFMU Dystopia update: good news edition | Techtonic with Mark Hurst on WFMU Janet Vertesi, founder of the Opt Out Project | Techtonic with Mark Hurst on WFMU A visit to Repair Café El Barrio | Techtonic with Mark Hurst on WFMU Marathon week 2 w/cohost Jesse Jarnow | Techtonic with Mark Hurst on WFMU Celebrating 400 episodes of Techtonic | Techtonic with Mark Hurst on WFMU Chris Gilliard on Amazon’s admission that Ring spies on us | Techtonic with Mark Hurst on WFMU Peter Dear ("The World As We Know It") and how we interpret AI | Techtonic with Mark Hurst on WFMU AI is spreading where it doesn't belong | Techtonic with Mark Hurst on WFMU Peter Schmidt on the book "Attensity" by the Friends of Attention | Techtonic with Mark Hurst on WFMU Paul Bradley Carr, author, "The Confessions" | Techtonic with Mark Hurst on WFMU Lora Kolodny from CNBC on Grok's sexualized images | Techtonic with Mark Hurst on WFMU Ken Freedman and Mark discuss the year ahead | Techtonic with Mark Hurst on WFMU Tim Wu, author, "The Age of Extraction" | Techtonic with Mark Hurst on WFMU The Ghost of Christmas Tech Anxieties - Sara Clemens and Stu Horvath fill in, with guest Adam Allsuch Boardman | Techtonic with Mark Hurst on WFMU The first annual Creepy Award | Techtonic with Mark Hurst on WFMU Noah McCormack from The Baffler: "We used to read things in this country" | Techtonic with Mark Hurst on WFMU Amateur radio is a superpower: Thomas Witherspoon | Techtonic with Mark Hurst on WFMU Citizens are being forced to pay for Big Tech data centers, feat. Pat Garofalo | Techtonic with Mark Hurst on WFMU How low can the tech oligarchs go? | Techtonic with Mark Hurst on WFMU Paul Mozur on the spread of data centers | Techtonic with Mark Hurst on WFMU Aram Sinnreich, co-author, "The Secret Life of Data" | Techtonic with Mark Hurst on WFMU Widening inequality and Big Tech surveillance, feat. Dan Currell | Techtonic with Mark Hurst on WFMU Filmmaker Amanda Hanna-McLeer on the techno-Luddites | Techtonic with Mark Hurst on WFMU The protest against smartphones, with Logan Lane | Techtonic with Mark Hurst on WFMU AI and surveillance keep spreading | Techtonic with Mark Hurst on WFMU Megan Greenwell, author, "Bad Company: Private Equity and the Death of the American Dream" | Techtonic with Mark Hurst on WFMU Glenn Adamson, author, "A Century of Tomorrows" | Techtonic with Mark Hurst on WFMU Joseph Weizenbaum warned us about AI 50 years ago (feat. Faine Greenwood) | Techtonic with Mark Hurst on WFMU Milestones for Big Tech... and Techtonic | Techtonic with Mark Hurst on WFMU
Guillaume Pitron, author, "The Dark Cloud" | Techtonic wi...
2023-12-11 · via Techtonic with Mark Hurst on WFMU

The Dark Cloud: The Hidden Costs of the Digital World, by Guillaume Pitron

Total Trust, documentary now playing at Film Forum (209 West Houston St in Manhattan) - through this Friday, Dec 15

A.I. Could Soon Need as Much Electricity as an Entire Country (NYT, Oct 10, 2023): “In a middle-ground scenario, by 2027 A.I. servers could use between 85 to 134 terawatt hours (Twh) annually. That’s similar to what Argentina, the Netherlands and Sweden each use in a year, and is about 0.5 percent of the world’s current electricity use.”

Big Tech’s thirst for AI dominance may bring literal thirst for everyone else (The Hustle, Aug 4, 2023): “Globally, data centers are forecast to consume 450m gallons of water daily by 2030, up from ~205m in 2016, according to data reviewed by Bloomberg. This is particularly worrisome for drought-stricken farming regions like Spain’s Talavera de la Reina, where a $1.1B Meta-planned data facility could gulp 176m gallons annually. . . . [And] a 20-question convo with ChatGPT equates to ~500 milliliters of water use, about the size of a water bottle.”

Critics Furious Microsoft Is Training AI by Sucking Up Water During Drought (Futurism, Sep 26, 2023): “Microsoft’s data centers in West Des Moines, Iowa guzzled massive amounts of water last year, the Associated Press reported earlier this month, to keep cool while training OpenAI’s ChatGPT-4, the Microsoft-backed company’s most advanced publicly available large language model. Critics point out a further inconvenient detail: this happened in the midst of a more than three-year drought, further taxing a stressed water system that’s been so dry this summer that nature lovers couldn’t even paddle canoes in local rivers.”

“. . . Microsoft increased worldwide water consumption by a whopping 34 percent — up to almost 1.7 billion gallons annually — last year, which outside researchers told the AP is most likely due to increased AI training. That’s dwarfed by Google, which used 5.6 billion gallons last year, a 20 percent jump that’s also likely attributable to machine learning.”

Arizona is running out of water. Big Tech data centers are partly to blame. (Insider, 2023): “[A few years ago] Google was planning a massive data center in Mesa, [Arizona,] just east of Phoenix. The deal guaranteed Google 1 million gallons of water a day to cool the facility, and up to 4 million gallons a day if it hit project milestones. (That’s a lot of water. Arizona residents each use about 146 gallons a day).”

Google Is Using A Flabbergasting Amount Of Water On AI (Futurism, July 28, 2023): “According to the tech giant’s 2023 Environmental Report, the company used an astronomical 5.6 billion gallons of water last year. That’s a 20 percent increase over its 2021 usage, which can likely be attributed in large part to Google’s growing AI efforts. Training these algorithms in massive data centers consumes immense amounts of energy, plus huge amounts of water for cooling. And the majority of this water isn’t even being pulled out of streams — it’s clean enough to be used as drinking water.”

“Digital and Sustainability” is not like “Q and U” (CB Bhattacharya, Sep 21, 2023): “Many of the metals, minerals, and rare elements necessary in the manufacture of digital devices are often harvested in the world’s conflict zones (e.g., the Democratic Republic of Congo) where child labor, slave labor, and violent and inhumane working conditions make the ‘inexpensive’ final product cost possible. This is true for devices built for personal use, but also for the devices that are used in mass deployment in data centers worldwide.”

Generating AI Images Uses as Much Energy as Charging Your Phone, Study Finds (Gizmodo, Dec 1, 2023): “Creating images with generative AI could use as much energy as charging your smartphone, according to a new study Friday that measures the environmental impact of generative AI models for the first time. Popular models like ChatGPT’s Dall-E and Midjourney may produce more carbon than driving 4 miles.

Every Bitcoin payment ‘uses a swimming pool of water’ (BBC, Nov 29, 2023): “Every Bitcoin transaction uses, on average, enough water to fill “a back yard swimming pool”, a new study suggests. That’s around six million times more than is used in a typical credit card swipe, Alex de Vries of Vrije Universiteit Amsterdam, calculates. . . . Up to three billion people worldwide already experience water shortages, a situation which is expected to worsen in the coming decades, the study notes.”