Indeed, Musk suggested that synthetic data — data generated by AI models themselves — is the path forward. “The only way to supplement [real-world data] is with synthetic data, where the AI creates [training data],” he said. “With synthetic data … [AI] will sort of grade itself and go through this process of self-learning.”
Elon Musk highlights that AI models have consumed almost all available human knowledge, leading to a scarcity of real-world data for further training. AI experts, including Demis Hassabis and Mustafa Suleyman,
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Elon Musk, owner of AI firm xAI, has agreed with other AI experts that the pool of real-world data to train AI models is almost empty. Speaking during a live-streamed discussion with Stagwell Chairman Mark Penn, Musk said, "We've now exhausted basically the cumulative sum of human knowledge... in AI training. That happened basically last year."
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“We’ve now exhausted basically the cumulative sum of human knowledge …. in AI training,” Musk said during a live-streamed conversation with Stagwell chairman Mark Penn streamed on X late Wednesday. “That happened basically last year.”