Lyle Solla-Yates"We have no representation. It's resource extraction." #shortage #AIBubble #LakeTahoe #LibertyUtilities https://www.techspot.com/news/112403-nearly-50000-lake-tahoe-residents-have-one-year.html
Captain Jack Sparrow
RaymondPierreL3#CoryDoctorow has long been a TechCritic in constructive and humane sense. His neologism never fail to hit the nail on the head — such as his #enshitification which made it into the dictionary of many languages in one form or another. He has also been sounding the alarm bell on the #GenAISlop proliferation and its #financialisation while predicting that the #AIBubble will inevitable burst when financial markets can no longer justify the inflated valuation of the IA industry and its ancillary infrastructure. There is a quote in his latest bookk that I really like:
“AI is the asbestos we are shoveling into the walls of our civilization and our descendants will be digging it out for generations…”
Unfortunately, for many stupid reasons, this is where we’re at atm.
BerlinFokusKonservative #Politik is einfach konsequent #beratungsresistent.
Wir könnten schön moderne Schulen, kostenlosen ÖPNV, neue Sozialwohnungen, komplette Umstellung auf Erneuerbare & Naturwiederherstellung haben. Entsprechend unserer allgemein anerkannten politischen Ziele & unserer Gesetze.
Aber was kriegen wir statt dessen? Permanent!
Immer die neuste Sackgasse, die sich als Millardengrab oder noch schlimmer erweist.
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Teurer Weg aus US-Abhängigkeit: Europa droht mit "KI-Gigafactories" Milliarden in den Sand zu setzen
Die EU will mit einer 200‑Milliarden‑Euro‑Offensive im KI-Bereich den Rückstand zu den USA und China aufholen. Kern der Initiative sollen fünf KI‑Gigafactories sein. Experten warnen vor einem teuren Scheitern.
Nicolas MØUARTThe maintenance cost of AI data centers is going to be impossible to sustain at this pace, on the long run. By the time when/if they can make a profit, I suppose AI companies will have to replace hardware.
It seems crazy, for me it is, yet somehow it makes sense, if the reason it is happening (and it is), is due to short-term profits by investment banks (and it is also happening). #AIbubble #AI #economy
It seems crazy, for me it is, yet somehow it makes sense, if the reason it is happening (and it is), is due to short-term profits by investment banks (and it is also happening). #AIbubble #AI #economy
Hublai (charismatic megafauna)
I_give_u_worms@blogdiva
article is very buzzy #AImentionWithoutPurpose
#AIwithoutRevenueTarget
Which AI method or dataset would it use?
How many jobs would they "guarantee," and if there were revenue, is there a tax or health insurance offset for any job loss?
If they had any revenue, how will they pay for power and water infrastructure demands?
#AIBubble
article is very buzzy #AImentionWithoutPurpose
#AIwithoutRevenueTarget
Which AI method or dataset would it use?
How many jobs would they "guarantee," and if there were revenue, is there a tax or health insurance offset for any job loss?
If they had any revenue, how will they pay for power and water infrastructure demands?
#AIBubble
https://www.theguardian.com/us-news/2026/may/13/utah-approves-datacenter-backlash “The facility will require about 9GW of power, which is more than the entire state of Utah currently consumes, and suck up a significant amount of water in an area that has been hit by severe drought in recent years.” #Stratos #AIBubble #Utah #CleanWater #climate
Félix Tréguer#AIbubble : "AI investment has expanded beyond a tech company capital expenditure issue into a cross-financial-system credit stress test. Internal risk limits, regulatory pressure, and public opposition in parts of the U.S. — such as Maine — are compelling banks to restructure their financing models. If future computing demand falls short of expectations, data center debt could become the next high-risk segment in credit markets." http://finance.biggo.com/news/m-gb8p0BmHHDnbgyOpuf
AI Data Center Financing Overwhelms Bank Appetite: $38 Billion Debt Proves Hard to Digest, Global Banks Scramble for Buyers
Global banks are confronting the limits of AI infrastructure financing. Oracle's $38 billion in data center construction debt has become emblematic of this challenge, as major lenders including JPMorgan Chase and Sumitomo Mitsui Banking Corporation struggle to digest these loans due to their sheer size and concentration risk. Banks are being forced to sell at discounts or use Significant Risk Transfer (SRT) instruments to offload risk onto private credit funds and insurance capital. This trend signals that AI investment has expanded beyond a tech company capital expenditure issue into a cross-financial-system credit stress test. Internal risk limits, regulatory pressure, and public opposition in parts of the U.S. — such as Maine — are compelling banks to restructure their financing models. If future computing demand falls short of expectations, data center debt could become the next high-risk segment in credit markets.