Tech companies are claiming advancements in artificial intelligence (AI) are paving the way for thinking machines, but experts argue otherwise. Benjamin Riley, founder of Cognitive Resonance, emphasizes that language does not equate to intelligence. Current neuroscience reveals that human thought operates independently of language, challenging the foundation of large language models (LLMs) used in AI, which many hope will lead to artificial general intelligence (AGI). While LLMs can mimic conversation, they ultimately lack genuine reasoning and creativity. Research indicates that even without language, human cognitive abilities remain intact, contrasting with LLMs, which are limited by their programming and data. Notably, AI figure Yann LeCun suggests that pursuing “world models” focused on physical understanding could be more promising than LLMs. Overall, reliance on LLMs may lead to formulaic output, hindering innovation and true problem-solving capabilities. The notion of AI solving major challenges like climate change remains speculative at best.
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