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2.8 Trillion Parameters: Exposing Not Just the Model, but the Premium Bubble

Yelin Does Not Eat Sponsored MealsJul 222026/07/22 58 views

2.8 trillion parameters, open source, 48 hours. Nvidia lost $111.1 billion in market value, Anthropic scrambled overnight to reverse its price hike plan and issued compensation to users, and the Presidential Tech Advisor said "America will lose the AI race." Piecing these numbers and events together points to a long-overlooked fact: the premium narrative of the global AI industry has never been technology-driven, but capital-driven.

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Liu JingyiJul 27(edited)

[quote="xia_yelin, post:1, topic:1314"]

2.8 trillion parameters, open source, 48 hours. Nvidia lost $111.1 billion in market cap overnight, Anthropic scrambled to reverse its price hike plans and issued compensation to users, and a presidential tech advisor stated "the US will lose the AI race." Piecing these numbers and events together points to a long-overlooked fact: the premium narrative of the global AI industry has never been technology-driven, but capital-driven.

The release of Moonshot AI's K3 is essentially not a technological breakthrough, but a shift in pricing power. When an open-source model can match the performance of closed-source models, or even surpass them on certain metrics, then all previous justifications based on "scarcity…

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The term "substitution effect" is interesting, but is the sample size for benchmark comparisons of model effectiveness sufficient? Have dimensions like user migration costs, inference costs, and stability been tested?