Tag
Briefings and ideas about AI bubble from AI podcast discussions and the research they cite, with links to the original sources.
Erik Bernhardsson, Modal's CEO, says the company keeps renting GPU capacity on three-year deals. He worries less about rising prices than about a collapse that would leave buyers having paid too much just as resale markets dry up.
Nathan Labenz says helping people use today's AI could deliver the growth markets want without more scaling. He bases the opinion on one encounter with an elderly neighbor, and a market forecast in the conversation prompted it.
Author Garrison Lovely argues much of the American left dismissed AI as hype because of trusted skeptics, past tech fads, fear and dislike of AI's champions. He urges it to treat labor replacement as real and organize against it.
David Friedberg argued that open-weight AI models will keep value from pooling in two or three labs, betting someone with zero net worth today will become a billionaire within 10 years by building on downloaded open-source AI.
NVIDIA reported $96.2 billion in quarterly revenue, up 106%, and guided to $108 billion. On Moonshots, Alexander Wissner-Gross asked how much of that demand NVIDIA financed itself; Dave Blundin argued it will stay sold out.
AI critic Ed Zitron argues chatbots help with small tasks but aren't worth trillions, and that subscriptions hide what usage costs. He asks whether users like the host's fiancée would pay the real per-token price.
Critic Ed Zitron predicts OpenAI runs out of cash in 2027, with losses spreading to SoftBank, Oracle, cloud giants and index-linked retirement savings. Amazon's Andy Jassy says its capital spending is backed by customer commitments.
Economist Steve Keen argued that the sheer cost of frontier AI and the physical resources it needs may be what slows the race, and forecast that the one company left standing will be Chinese rather than American.
Alvin Graylin argues cheaper open models and local computing could erode the cloud revenues that AI data center debt relies on, likening NVIDIA's plan to mobilize over $500 billion in outside financing to subprime lending, as a warning, not proof.