UBI would probably work better in Kenya compared to the US because when people are in extreme poverty, funds get used to meet pressing needs, but when these basic needs are met, extra funds are probably more likely to go into having more leisure time. People in Kenya generally have more low-hanging fruit to buy a motorcycle or to get a home renovation, but in the US, major life-changing things probably cost too much for UBI to cover and the income might be used on something like alcohol.
Why are comments on older posts sorted by date, but comments on newer posts are sorted by top scoring?
What about a goal that isn't competitive, such as "get grade 8 on the ABRSM music exam for <instrument>"? Plenty of Asian parents have that particular goal and yet they usually ask/force their children to practice daily. Is this irrational, or is it good at achieving this goal? Would we be able to improve efficiency by using spaced repetition in this scenario as opposed to daily practice?
If spaced repetition is the most efficient way of remembering information, why do people who learn a music instrument practice every day instead of adhering to a spaced repetition schedule?
hare/tortoise takeoff
This seems like the sort of R&D that China is good at: research that doesn't need superstar researchers and that is mostly made of incremental improvements. But yet they don't seem to be producing top LLMs. Why is that?
Google Gemini uses a watermarking system called Synth ID that claims to be able to watermark text by skewing its probability distribution. Do you think it’ll be effective? Do you think that it’s useful to have this?
The digital version of the SAT actually uses dynamic scoring now where you get harder questions if you get the ones in the first section correct, but it’s still approximately as difficult as the normal test so tons of people still tie at 1600
We call on our knowledge when something related triggers, so in order for a lesson to be useful, you need to build those connections and triggers in the student’s mind.
Seems related to trigger-action plans...
Good job for guessing that it was Google correctly! Here’s the arXiv print.