Search results for tag #bubble
@SophiaFree #AI uses less water than almonds. AI #datacenter water problems are a local water use issue or a "giant construction project" issue. They are not a global environmental issue.
#Carbon and #energy issues do not _yet_ exist. Research has suggested that they will be enormous issues in the future _if_ the rate of datacenter expansion continues on its current trajectory.
Anyone who believes that AI is a #bubble can not simultaneously believe it'll destroy the environment.
It is, however, more ethical and sustainable to run smaller (open weight) AI models at home on home servers or powerful personal computers.
Shot:
CloudFlare fires 20% staff claiming it's because of "AI"-related productivity gains
https://techcrunch.com/2026/05/08/cloudflare-says-ai-made-1100-jobs-obsolete-even-as-revenue-hit-a-record-high/
Chaser:
Since that announcement CloudFlare stock lost 22% of value.
Even investors seem to not be buying the "AI productivity gains" bullshit anymore.
#AI #CloudFlare #Layoffs #Bubble
Alt...
Screenshot from of a stock chart showing CloudFlare losing about 22% of value since the announcement. The stock price drops off a cliff on the day of the announcement.
🚨 Ex-CEO, ex-CFO of bankrupt AI company charged with fraud
｢ The former chief executive and chief financial officer of iLearningEngines, which provided AI-driven business automation technology, were indicted on charges they defrauded investors and lenders by fabricating "virtually all" of the now-bankrupt company's customer relationships and revenue. ｣
🙄
CNN: Allbirds shares soar 600% as it pivots from footwear to AI
"Shares of Allbirds — the 2010s pioneer of trendy sneakers and eco-conscious Millennial retail marketing — took flight in an almost comical fashion Wednesday morning after the company announced an extremely 2026 pivot: abandoning its environmental agenda and getting into the AI business. ....The catalyst came from Allbirds’ announcement that the company, after selling its footwear assets and branding to brand management company American Exchange Group last month for just $39 million, would soon reemerge as a new entity with a focus on “AI compute infrastructure.” .."
https://lite.cnn.com/2026/04/15/investing/allbirds-pivot-to-ai
💰️ Suits won't quit AI spending, even if they can't prove ROI https://www.theregister.com/2026/04/10/ai_roi_kpmg/
Four fuses. One week. All burning.
OpenAI raised $122B and still won't turn a profit until 2030. Agents are deleting inboxes and want root access to your machine. Your RAM is three times what it was because hyperscalers bought the supply chain out from under you. And nobody in the industry can negotiate with an oil shock.
Oh and the fix for the inbox problem makes the RAM problem worse. Of course it is.
https://blog.ppb1701.com/theyre-racing-to-stay-ahead-of-the-fuse
#ai #openai #bubble #bigtech #userhostile #blog #privacy #github
🔥 Oracle cuts 30,000 jobs to pay for datacenters no one will use.
｢ Workers across the U.S., India, and other regions learned their jobs were gone before most people had finished their morning coffee, with no prior warning from HR or their managers ｣
https://rollingout.com/2026/03/31/oracle-slashes-30000-jobs-with-a-cold-6/
It seems to me that, as with the still ongoing COVID pandemic that very few recognize as such, the looming asset collapse and economic recession we're living through in the US is not perceived because it's not talked about as such, and therefore might as well not be happening.
#US #USPol #USEconomy #AI #bubble #recession #COVID #COVIDPandemic
From https://www.cnbc.com/2026/02/06/google-microsoft-pay-creators-500000-and-more-to-promote-ai.html
Echoes of Matt Damon shilling crypto.
If the organic demand for AI were as high as we've been led to believe, what's with the big paychecks to shill it?
From https://www.reuters.com/business/alphabet-sells-bonds-worth-20-billion-fund-ai-spending-2026-02-10/
Yeahhhhhh OK.
This is not a healthy economy.
#AI #GenAI #GenerativeAI #NVIDIA #bubble #AssetBubble #economy
All it'd take is one clever math result demonstrating you don't need absolutely gigantic neural networks trained on mind-bogglingly-huge datasets to achieve the AI goals of most companies, and NVIDIA's hardware dominance evaporates. Why would you spend thousands or tens of thousands of dollars on a GPU that uses 300 Watts of power when you could achieve the same thing with an ASIC or FPGA that uses 3 Watts? This is already true for many applications, but apparently it hasn't been widely realized yet. It'll be hard to ignore if/when it becomes true for the vast majority of applications. Which it could.