Human-agent interaction

episodes

thinkers

of conversation

books & papers

terms defined

The neighbourhood: human-agent interaction and the ideas it travels with. Drag to roam, click a star for the episode, click a neighbour to travel.

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From foundational to frontier

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ACCESSIBLECOREFRONTIER

05-28-26

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Every term the guests lean on, in plain language. Read one in full, or filter to find it.

meta learning

A process where one learning algorithm gives rise to another, often spontaneously in neural networks.

temporal difference learning

A reinforcement learning method where predictions are updated based on the difference between predicted and actual rewards.

The throughline across every conversation that touches this idea.

Meta learning in AI can emerge spontaneously in recurrent neural networks, creating new learning algorithms from network dynamics.

Dopamine's role in reinforcement learning mirrors temporal difference learning, suggesting a neural basis for AI techniques.

AI systems need to embody both ability and warmth to be fully accepted by humans, according to Susan Fisk's research.

The prefrontal cortex supports flexible behavior by overriding habitual actions, highlighting its role in cognitive control.

AI development should focus on enhancing human autonomy and improving quality of interactions without manipulation.

3 standout quotes from across the corpus.

7 books and papers cited across these episodes.

For the specialist

2 expert-level takeaways for a specialist reader.

At the frontier

2 open questions flagged across these conversations.

Who takes this idea on, by how often they return to it.