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    AI Is Unsafe Until It Learns to Stabilize

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    Structured Reasoning as Equilibrium

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    Why Autoregressive Language Models Cannot Lead to Human-Level Intelligence

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Home News Asia

The Race for AGI: Unpacking the Hype Around Superintelligence and Our Tech Future

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America’s tech giants and their Chinese counterparts are racing to achieve artificial general intelligence (AGI)—AI that can perform most economically relevant tasks as well as, or better than, humans. Despite headline-grabbing advances, industry leaders acknowledge that the science behind AGI remains immature and the timeline uncertain. OpenAI’s new GPT-5 is touted as a pivotal advancement but still falls short of human-level autonomy, while Meta and Google tout ambitious new models with similar caveats. Venture capitalists and analysts argue that both the definition and the bar for AGI are moving targets, feeding hype that drives eye-watering investment, currently outpacing European defense expenditures. Meanwhile, China’s rapid progress in AI model rankings demonstrates a global, high-stakes contest for AI supremacy. Experts warn that talk of superintelligence risks overshadowing the need for current systems to be transparent and unbiased, and that technical progress is no guarantee that any single player will seize a lasting lead in the crowded, fast-evolving field.

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