The random historical event you read half a sentence about on Wikipedia and it caught your eye? Maybe that means that it could catch a lot of people’s eyes, and your quick post has brought it to them.
This feels like a recommendation to be entertaining and not informative.
Both medical advice and legal advice are categories where we only allow certified experts to speak freely,
In reddit's legal advice forum commenters just proclaim their advice as not legal advice whether they are lawyers or not. Sometimes they recommend getting a lawyer instead of giving advice.
There are no clear solutions to what to do if you are in an environment with other smart actors[2] who are trying to predict what you are going to do and then try to feed you information to extract resources from you.
Get outside sources! Like public reputation.
Maybe the most challenging and productive application of LLMs is in science. Elicit.org's technical blog post on the subject: https://elicit.com/blog/literature-based-discovery . They have an AI safety policy too: https://elicit.com/blog/ai-safety
Get a stationary bicycle (or treadmill desk). Work play games or watch TV while burning calories and building cardio.
Just do one new thing a day to solve one of your problems.
I feel like the word "learn" has to be in this sentence.
Yea electronic (screens?) have some weird neurological effect on me. I wish I learned to be satisfied with books and note taking.
The impersonal internet runs Kialo-like debates and builds complex wikis where data and arguments matter more than the pseudonymized person behind them. A hybrid of expert and blogger is generally seen as a failed specialization.
Persistence and collaborative writing will finish writing the common stuff faster and mean that only scholars will be left to work on this stuff.
Cross Validated Stack Exchange has a list of Bayes books recommended by their skilled community. Other SE sites probably also have textbook suggestions.
This problem inspired VV's 'Zones of Thought' series. In those books the closer a character gets to the center of the galaxy the lower the maximum possible cognition even for an AGI.
Really thorough statistical analysis of Anki (flashcard app) data
rpubs.com/rain8/1100036 Its a work in progress with only two steps finished. Not exactly an addon because its in R not Py. So far the project does many little things like find bugs in user’s collection, describe the growth of their collection and text mining. Ultimate goal is to hopefully be able to use anki as continuous cognitive tester and allow users to learn about and optimize their memorization process. Instructions to run on your own data : github
I am not sure data in anki could really be used as a continuous cognitive health test. Probably requires removing lots of artifacts and other influences and then finding outside influence that definitely relates to cognition. Lit review.