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https://blog.apiad.net/p/a-brief-history-of-artificial-intelligence/comment/138087234

RDM on The Computist Journal

Succinct and motivating overview. Really satisfying to read. Question - no mention of Active Inference/Free Energy Principle-based approaches? Hipshot you'd classify them as 'statistical', which is arguably correct but..they are more, allowing explainability, adaptivity, and speed unlike any large-scale number-crunching stat-based approach. Statistical (bayes, e.g.) and numeric to be sure, but also symbolic and experiential in a way LLMs will never be. Perhaps these are the merger of the two approaches you write of...?



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RDM on The Computist Journal

https://blog.apiad.net/p/a-brief-history-of-artificial-intelligence/comment/138087234

Succinct and motivating overview. Really satisfying to read. Question - no mention of Active Inference/Free Energy Principle-based approaches? Hipshot you'd classify them as 'statistical', which is arguably correct but..they are more, allowing explainability, adaptivity, and speed unlike any large-scale number-crunching stat-based approach. Statistical (bayes, e.g.) and numeric to be sure, but also symbolic and experiential in a way LLMs will never be. Perhaps these are the merger of the two approaches you write of...?



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https://blog.apiad.net/p/a-brief-history-of-artificial-intelligence/comment/138087234

RDM on The Computist Journal

Succinct and motivating overview. Really satisfying to read. Question - no mention of Active Inference/Free Energy Principle-based approaches? Hipshot you'd classify them as 'statistical', which is arguably correct but..they are more, allowing explainability, adaptivity, and speed unlike any large-scale number-crunching stat-based approach. Statistical (bayes, e.g.) and numeric to be sure, but also symbolic and experiential in a way LLMs will never be. Perhaps these are the merger of the two approaches you write of...?

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      Succinct and motivating overview. Really satisfying to read. Question - no mention of Active Inference/Free Energy Principle-based approaches? Hipshot you'd classify them as 'statistical', which is arguably correct but..they are more, allowing explainability, adaptivity, and speed unlike any large-scale number-crunching stat-based approach. Statistical (bayes, e.g.) and numeric to be sure, but also symbolic and experiential in a way LLMs will never be. Perhaps these are the merger of the two approaches you write of...?
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