Mary Martin

The present findings also show that it is possible to develop systems that can instantly interpret emotional cues to provide immediate and intuitive feedback in a wide range of situations. This could lead to scalable, cost-efficient applications in various domains where understanding emotional context is crucial, such as therapy and interpersonal... See more

what would education look like if the goal is human and planetary flourishing?

This is particularly important because there are already indications that many people who often interact with chatbots attribute consciousness to these systems. At the same time, the consensus among experts is that current AI systems are not conscious.

Together, wanting and liking encourage us to pursue rewards. But these sensations can also stand alone, creating situations where you might know that you enjoy something but don’t want to go after it, or where you might have a strong desire for something that you don’t get much pleasure from.

your emotional experiences feel like they are the truth of the world around you, when in reality the culture we live in shapes your emotions...and your emotions serve as a lens for interpreting the world around you.

Note also that this view is consistent with and indeed emerges from the multi-component model of hippocampal contributions to episodic future simulation put forth by Addis and Schacter (2012), which links the hippocampus with distinct components of future simulations, including both retrieval of episodic details and recombining those details.

Hyperstition is a positive feedback circuit including culture as a component. It can be defined as the experimental (techno-)science of self-fulfilling prophecies. Superstitions are merely false beliefs, but hyperstitions — by their very existence as ideas — function causally to bring about their own reality.

many of the quant-ities related to suffering are based on perceptions and similar uncertain infer-ences. The uncertainty will necessarily increase frustration since it means the predictions of reward often go wrong . More fundamentally, the computed reward loss can be uncertain, even illusory .