You have to stay on track and capture insights, all while feeling your feelings. It can feel like trying to drive the car, hold the map, and drink your coffee at the same time.
Once an Exile is able to tell their story and feels fully witnessed by the Self, they may be prepared to let go of their burdens and limiting beliefs, and re-connect with long-forgotten positive qualities.
But while working with a partner or a worksheet can help ease the cognitive load of an IFS session, neither of them adequately solves the problem. Working with a partner reintroduces some of the resource challenges that self-therapy seeks to alleviate. You need to find someone you trust, someone with skill, and hardest of all, someone who’s... See more
Our current instructional design approaches assume that access to expertise is scarce, expensive, and delayed. That’s why we “capture” disciplinary expertise in “content” – so we can economically provide access to expertise to learners. But what if access to expertise was abundant, cheap, and immediate? If your students have access to the internet,... See more
The author took its readers on a quest to quit social media, keeping their phone in the hand at all times, and ultimately deleting the most addicting app on their phone.
🧠🚨New memory paper🚨🧠
A new paper from @Plastic_Labs combines concepts from developmental psychology with LLMs in order to simulate more complex memory
"Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language... See more
"Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models"
This paper investigates how Violation of Expectation (VoE) and metacognitive prompting can be used to reduce Theory of Mind prediction errors in Large Language Models (LLMs) in the context of human-AI interaction.