Bruce Schneier and Nathan Sanders argue that many perceived problems with AI are actually problems with capitalism, not with the underlying technology itself. They distinguish genuine technical issues—like AI sycophancy and overconfidence—from sociopolitical issues like energy costs, environmental impact, and who captures AI's economic gains. Using examples like China's open-weight models and Switzerland's publicly funded Apertus model, they argue that structural reforms (taxation, antitrust enforcement, fiduciary responsibility) are needed to steer AI toward public benefit rather than restricting the technology itself.
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