Today's LLMs are brilliant parrots—fluent, fast, but fundamentally directionless. They optimize for the next token, not for a horizon.
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Token Predictors
Current LLMs are sophisticated autocomplete engines. They predict the next word, not the next thought. There's no reasoning—just statistical mimicry. No understanding—just pattern matching across training data.
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Black Box Hallucinations
When AI generates falsehoods, there's no way to verify. No audit trail. No proof of process. You're trusting outputs from systems that don't know they're wrong—and can't prove they're right.