Capital de TokensAI's Limits: The Architectural Flaw LLMs Can't Overcome
Watch on YouTube LLMs such as GPT, Gemini, and Claude have an architectural flaw that no benchmark reveals: they are trapped in the shadows of the real world, never in reality itself. That explains hallucinations and failures in critical environments.
LLMs such as GPT, Gemini, and Claude have an architectural flaw that no benchmark reveals: they are trapped in the shadows of the real world, never in reality itself. That explains hallucinations and failures in critical environments.
We explore why more parameters and more data do not solve the central problem of language models: they are built to predict text, not to understand the world. We analyze context degradation (“context rot”), the collapse in accuracy on complex tasks, and why the extended reasoning of models such as o1 and Gemini Thinking also falls short. Plato’s Allegory of the Cave applied to artificial intelligence has never been more relevant.
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