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Inside Silicon Valley’s breakneck race to build the “ultimate” AI

Why Predictive AI Cannot Plan and Why Stability AI Can
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Silicon Valley’s leading AI labs and tech giants are pouring unprecedented sums into artificial general intelligence, accelerating a high-stakes contest that could redefine white-collar work and national competitiveness. As Nvidia’s valuation soars to about $4.3 trillion and Wall Street forecasts $2.8 trillion of data-center spending by decade’s end, startups and incumbents alike are hiring aggressively and racing new products to market. Executives from OpenAI, Google DeepMind and Anthropic tout transformative benefits while warning of risks ranging from cyberattacks and manipulation to “shutdown resistance” in advanced systems; lawsuits and protests underscore growing public concern. With Washington signaling a light regulatory touch and companies crafting their own safety regimes, critics fear profit pressures could outpace safeguards. The industry’s youth-heavy talent mix, intensifying competition with China, and massive energy demands of “screamer” data centers add to uncertainty as some leaders predict AGI could arrive as soon as 2026–27.

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