How to explore Scott Alexander's work and his 1500+ blog posts? This unaffiliated fan website lets you sort and search through the whole codex. Enjoy!

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5 posts found
Sep 30, 2022
acx
31 min 4,678 words 29 comments 67 likes podcast (38 min)
Scott Alexander explores various commenters' insights on the neuroscience of reward, happiness, and relationships, expanding on his original post about unpredictable rewards. Longer summary
Scott Alexander discusses highlights from comments on his post 'Unpredictable Reward, Predictable Happiness', covering topics such as neuroscience of reward, dopamine, and relationships. He explores various perspectives on how the brain processes rewards, predictions, and happiness, including insights from neuroscientists, psychologists, and personal anecdotes. The post touches on topics like abusive relationships, polyamory, wealth and happiness, and the cognitive burden of poverty. Shorter summary
Mar 26, 2021
acx
13 min 1,991 words 421 comments 137 likes podcast (15 min)
Scott Alexander proposes a Bayesian theory of willpower as a process of weighing evidence from different mental processes to determine actions. Longer summary
Scott Alexander proposes a new Bayesian theory of willpower, disagreeing with previous models like glucose depletion, opportunity cost minimization, and mental agent conflicts. He suggests willpower is a process of weighing evidence from different mental processes: a prior on motionlessness, reinforcement learning, and conscious calculations. The basal ganglia then resolves this evidence to determine actions. Scott explores how this model explains the effects of dopaminergic drugs on willpower and discusses implications for understanding mental illness and productivity. Shorter summary
Oct 15, 2018
ssc
10 min 1,449 words 124 comments podcast (11 min)
Scott Alexander uses the Jewish legend of the Chamber of Guf as a metaphor for subconscious thoughts, exploring its implications for behavior, OCD, and self-defeating thoughts. Longer summary
Scott Alexander discusses the concept of the Chamber of Guf, a Jewish legend about a pit of proto-souls, and uses it as a metaphor for subconscious thoughts. He explores how this relates to behavior selection in the brain, the effects of dopamine on thought patterns, and various forms of OCD. The post delves into how anxiety can affect thought selection, leading to conditions like Gay OCD, and suggests that similar processes might be behind self-defeating thoughts. Scott also touches on how meditation might allow direct access to this subconscious realm of thoughts. Shorter summary
Feb 07, 2018
ssc
13 min 1,864 words 125 comments podcast (15 min)
Scott Alexander explores the motivational system as described in 'The Hungry Brain', connecting it to dopamine, willpower, and predictive processing theory. Longer summary
Scott Alexander revisits Stephan Guyenet's book 'The Hungry Brain', focusing on its description of the motivational system. He explains how the basal ganglia in lampreys and humans select behaviors from competing 'bids' made by different brain regions. The post then discusses dopamine's role in this system and how disorders like Parkinson's disease and abulia affect motivation. Scott concludes by proposing a theory linking dopamine levels, willpower, and the predictive processing model, suggesting that high dopamine levels may represent confidence in overriding default behaviors with more willpower-intensive actions. Shorter summary
Sep 12, 2016
ssc
25 min 3,848 words 215 comments
The post explores how Bayesian processes in the brain might explain perception and various mental disorders, linking neurotransmitters to different aspects of Bayesian reasoning. Longer summary
This post explores the application of Bayes' Theorem to neuroscience and psychiatry. It discusses how the brain might use Bayesian processes for perception and cognition, and how disruptions in these processes could explain various mental disorders. The author first explains Bayes' Theorem and its relevance to perception, then delves into a neuroscientific model that links neurotransmitters to different aspects of Bayesian processing. The post then applies this model to explain phenomena in schizophrenia, psychedelic experiences, and autism. The author concludes by pointing out some limitations and inconsistencies in the model, while still appreciating its potential as a high-level framework for understanding brain function and mental disorders. Shorter summary