Part 1 presents the case against the current path: human intelligence as a biological, embodied, and experiential architecture; large language models as statistical prediction engines confined to the lowest rung of Pearl’s ladder; and the AGI fallacy, the benchmark problem, diminishing returns, and the goal displacement that nobody voted on.

This is the audio edition of AHI: The Case for Augmented Human Intelligence, the foundational whitepaper of the Architecture & Attention series, presented in two parts. The full written whitepaper, with references and intellectual foundations, is at jamesmaconochie.com.

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit jamesmaconochie.substack.com