In this interview podcast, Dwarkesh Patel speaks with Dario Amodei, CEO of Anthropic, about the scaling of AI models, exploring why scaling works, its predictability, and the emergence of abilities. They discuss the limitations of current models, potential constraints like data and compute, and alternative loss functions. Amodei shares his early experiences with scaling in speech recognition and the importance of language models. The conversation covers the discrepancy between impressive benchmark performance and general human-level intelligence, the potential for superhuman AI in specific tasks, and the challenges of alignment and misuse. They delve into cybersecurity measures, the role of mechanistic interpretability, and the ethical considerations of advanced AI, including consciousness and governance. Amodei also touches on China's AI development and the need for international cooperation and safety measures.
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