AI Evolution in 2025: From Stochastic Parrots to Chain of Thought Reasoning
By
danielfalbo
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Summary
The article reflects on the evolution of AI understanding by the end of 2025, noting that the 'stochastic parrots' criticism of LLMs has largely been abandoned as evidence of their meaningful representations accumulates. It discusses Chain of Thought (CoT) reasoning as a fundamental improvement technique for LLMs, suggesting it works by allowing sampling in model representations and providing a 'scratchpad' for reasoning. The piece examines how AI models have developed internal representations and understanding, moving beyond simple pattern matching to more sophisticated cognitive processes.
Key quotes
· 5 pulledFor years, despite functional evidence and scientific hints accumulating, certain AI researchers continued to claim LLMs were stochastic parrots
In 2025 finally almost everybody stopped saying so
Chain of thought is now a fundamental way to improve LLM output
I believe it is two things: 1. Sampling in the model representations (that is, a form of...)
But, what is CoT? Why it improves output?
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