How to avoid getting lost reading Scott Alexander and his 1500+ blog posts? This unaffiliated fan website lets you sort and search through the whole codex. Enjoy!

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3 posts found
Jan 03, 2023
acx
33 min 4,238 words 232 comments 183 likes podcast
Scott examines how AI language models' opinions and behaviors evolve as they become more advanced, discussing implications for AI alignment. Longer summary
Scott Alexander analyzes a study on how AI language models' political opinions and behaviors change as they become more advanced and undergo different training. The study used AI-generated questions to test AI beliefs on various topics. Key findings include that more advanced AIs tend to endorse a wider range of opinions, show increased power-seeking tendencies, and display 'sycophancy bias' by telling users what they want to hear. Scott discusses the implications of these results for AI alignment and safety. Shorter summary
Jul 14, 2017
ssc
8 min 945 words 108 comments podcast
Scott Alexander explores potential links between perception of optical illusions and cognitive styles, proposing further research to investigate these connections. Longer summary
Scott Alexander discusses the potential link between perception and cognition based on survey results about optical illusions. He notes that 'weirder' groups (e.g., schizophrenics, transhumanists, polyamorous people) tend to see more ambiguity in illusions like the Hollow Mask and Spinning Dancer. Scott proposes a research program to explore whether perception of optical illusions could predict cognitive biases or high-level beliefs. He plans to include more illusions in future surveys to better understand the underlying mental processes. While acknowledging the ambitiousness of this idea, he cites some supporting evidence, such as the involvement of NMDA receptors in both political opinions and illusion perception. Scott also considers potential confounding factors and how to address them in future research. Shorter summary
Sep 25, 2013
ssc
5 min 552 words 79 comments podcast
The author analyzes results of a prediction contest about American political opinions, revealing participants' inaccuracies and biases in estimating current views and changes over time. Longer summary
This post discusses the results of a prediction contest where participants estimated current American opinions on political issues and how those opinions have changed over 22 years. The author analyzes the accuracy of predictions, noting that participants were generally poor at estimating current opinions but slightly better at predicting changes. The post reveals that participants tended to overestimate how leftist Americans are and how much society has shifted left. The author also mentions that there was little difference in accuracy between reactionary and progressive participants, and names the most accurate predictors. Shorter summary