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An opinion piece arguing that superintelligence may be incremental rather than explosive, as the limits of AI lie not in reasoning but in the slow pace of real-world verification and complex emergent systems.
The article analyzes how the cost to achieve a given level of AI intelligence, measured by Epoch AI's ECI, halves every 2-4 months, citing examples from Grok, DeepSeek, GPT, and Gemini.
Yann LeCun explains in a Bloomberg interview that LLMs are limited because they only process symbolic text, while real-world understanding requires massive sensory data that children naturally acquire. He invokes Moravec's paradox to highlight the gap.
Yann LeCun argues that large language models lack true intelligence because they do not understand the physical world; he advocates for developing 'world models' that learn causality and enable planning for real-world applications.