Resolve Riffs Investment Podcast · ReSolve Asset Management

How A.I. is Revolutionizing Learning & Trading with Kris Abdelmessih

·1 hr 4 min·1 clip

The guest opens by framing forgetting as a predictable curve. He argues that what people retain depends on how often the material gets reinforced or reused. The example is immediate and concrete. A phone number sticks because it gets used. A random fact fades because it does not. From there, the conversation moves to spaced repetition. The idea is simple, but the mechanism matters. Information is delivered again just before it would be lost. That timing turns retention into a scheduling problem instead of a memory contest. The discussion stays close to the logic rather than drifting into slogans. That keeps it grounded. The tone stays measured throughout. The guest is given room to build the argument in full. The result is a conversation that assumes the listener can follow technical reasoning. It does not flatten the subject for novices. Instead, it supplies definitions as scaffolding and then moves toward application. The broader podcast frames itself as an investing show, but this segment is mostly a reflection on how reinforcement and timing shape learning. Its value is in the clarity of the causal chain. By the end, the listener has a usable model for why repetition matters and why the timing of reinforcement matters even more.

As heard by us

A clear explanation of forgetting, reinforcement, and spaced repetition within an investing focused discussion.

The episode treats forgetting as a pattern shaped by reinforcement and reuse, not a simple loss of memory. It keeps the focus on how ideas that get revisited tend to stick, while unused ones fade, and it uses spaced repetition to show why a reminder can land best just before…

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Why you'd press play

You want a clean explanation of forgetting curves and spaced repetition, plus a science-first investing discussion.

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