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AI Mania: Parallels to Past Market Booms and Unfulfilled Predictions

🔄 Updated 1d ago
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Key points

  • Compares AI market to historical speculative booms like the tulip craze.
  • Questions the intelligence and consciousness claims surrounding AI.
  • Highlights unfulfilled predictions from tech leaders regarding AI capabilities.
  • Notes job displacement attributed to AI despite its unproven advanced intelligence.

AI Market Speculation and Historical Parallels

The current enthusiasm for AI is likened to past market manias, specifically the tulip craze, suggesting a similar pattern of speculative investment. The author notes that GPU compute, initially driving cryptocurrency, has now fueled a larger boom in language models, drawing a comparison between "bulbs, coins, and now tokens."

This market behavior is described as being driven by "animal spirits," with CEOs attributing layoffs to artificial intelligence. The author questions the dynamic between humans and AI, suggesting that AI, like plants, is propagating itself while humans seek immediate gratification from it.

Debating AI Intelligence and Consciousness

The article discusses the ongoing debate about whether AI agents are truly intelligent or conscious, noting that the term "AI" itself has become a self-replicating meme. Despite the power of self-reinforcing models and data, there is no consensus on AI's fundamental capabilities.

The author expresses skepticism about AI having solved "the hard problem" of consciousness, aligning with views that animal learning abilities surpass those of machines. This perspective contrasts with claims from figures like Sam Altman, who suggests the singularity has been reached.

Unfulfilled Predictions in AI Development

The piece cites a history of unfulfilled predictions regarding AI capabilities, using Elon Musk's timelines for full self-driving technology as an example. Musk's predictions for autonomous driving have consistently been delayed, from less than a year in 2014 to still not fully realized by 2026 targets.

A similar historical example is given from the 1960s, where a Turing Award and Nobel prize winner predicted the extinction of the programming profession due to computers programming themselves. Sixty years later, programmers are still essential, despite fluctuations in hiring and firing.

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Reporting from

The article draws parallels between the current AI boom and historical market manias, such as the tulip craze, highlighting the speculative nature and unfulfilled promises surrounding AI. It questions the true intelligence of AI systems and criticizes the hype from industry leaders, contrasting it with the reality of job displacement and ongoing technical challenges.