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Leopold Aschenbrenner, formerly with OpenAI, has penned an extensive essay titled “Situational Awareness: The Decade Ahead,” forecasting AI’s future (Axios). He asserts that deep learning’s consistent success defies sceptics and predicts that by 2027, AI models will be capable of performing the tasks of AI researchers and engineers. This rapid advancement suggests that AI will soon transform from simple chatbots to sophisticated agents, akin to coworkers.
Economic and Data Implications
Aschenbrenner highlights a looming data bottleneck as we exhaust internet data for training larger models, potentially hindering progress. He envisions AI becoming a significant revenue driver for major corporations, predicting the emergence of $10 trillion companies and unprecedented corporate investments in AI. This economic shift underscores AI’s growing influence on global markets and industries.
National Security and Superintelligence
On a more cautionary note, Aschenbrenner is concerned that any AI progress may lead to increased wartime capabilities and AI-powered weaponry. He foresees superintelligence as the U.S.’s most crucial defence project by 2030, stressing the urgency for better regulation and awareness of AI’s profound potential and risks.
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