Jaron Lanier, a pioneer of virtual reality and scientist at Microsoft Research, has proposed a radical new approach to artificial intelligence. In a recent podcast episode, Lanier discussed the potential consequences of AI on the economy and suggested that AI should be viewed as a collaboration of human data, rather than an autonomous entity.

This shift in perspective sheds light on the limitations of current AI systems and the reasons behind the struggles of industry leaders to effectively harness its power. Lanier also presented a practical approach to AI safety, drawing inspiration from multi-factor authentication in cybersecurity.

Moreover, Lanier argued that universal basic income may not be a stable solution and instead proposed a creativity-driven economy, where individuals earn income from their contributions to AI. This approach would foster a more collaborative and creative relationship between humans and machines.

Lanier’s vision offers a message of optimism about the potential of technological progress, while also acknowledging the risks and challenges associated with AI. By examining historical context, Lanier believes we can find rational grounds for optimism about our future with AI.

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