Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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Gary Marcus stated that enormous capital expenditures have failed to eliminate errors produced by large language models.
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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Gary Marcus stated that capital expenditures have removed technical moats that might give hyperscalers a competitive edge.
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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"This has led to price wars coexisting with high operating expenses (needed to run bigger data centers to train and operate new models) and low or even negative margins, since all are building more or less the same product."
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Gary Marcus is a professor emeritus of psychology and neural science at New York University.
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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Gary Marcus stated that more U.S. companies are using cheaper, open-source Chinese AI models.
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Microsoft may make China’s DeepSeek available for its Copilot Cowork AI agent.
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Microsoft is looking at open-source models as lower-cost alternatives to Anthropic and OpenAI products.
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Microsoft is transitioning Copilot Cowork to usage-based pricing.
Charles Lamanna, Executive Vice President for Copilot
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"We have users who do hundreds of tasks a week, which is great—they’re way productive—but the consequence is the costs can go very high."
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Charles Lamanna is Microsoft’s executive vice president for Copilot.
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Security researchers stated that China’s Zhipu AI can now match U.S. models in finding security bugs.
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Anthropic’s and OpenAI’s products are still superior to Chinese models at tasks other than finding security bugs.
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The Trump administration has limited access to the most advanced U.S. AI models.
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Meta, Microsoft, Alphabet, Amazon, and other hyperscalers are collectively spending hundreds of billions of dollars a year on data centers, chips, and other infrastructure.
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The collective spending tally for hyperscalers in 2026 is expected to exceed $700 billion.
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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Gary Marcus stated that most chips depreciate as more advanced versions come out.
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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Gary Marcus stated that high-end AI models could be displaced by more efficient rivals that do not rely on as many expensive chips.
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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"In placing massive hyperscaling bets, investors are setting lavish expectations about future earnings."
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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"But LLMs are not likely to replicate the near monopolies that have made the market power of current tech giants hard to assail."
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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"A better analogy for them might be airlines, which are hobbled by small margins, intense competition, high expenses, and dependence on hardware created by outside vendors."
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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Gary Marcus stated that a worst-case scenario could involve governments bailing out AI giants if the fallout hit pension funds, banks, or the global economy.
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OpenAI floated the idea of a government backstop for data center financing.
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OpenAI retracted the idea of a government backstop for data center financing after widespread outcry.
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Airlines received federal bailouts during the COVID-19 pandemic.
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Airlines received federal bailouts after the terrorist attacks on Sept. 11, 2001.
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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"Some form of AI—one that is reliable and efficient and compatible with human safety—might well be worth the investments that are being poured into data centers."
Gary Marcus, Prof. Emeritus of Psychology and Neural Science
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"To make the bet on the version we have now is premature."
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