I agree that memorization is a very useful skill, but I believe it’s over-used in some education systems.
There have been classes I’ve taken where ~half of the evaluation is brute memorizing dates/event names. Ive also taken classes (machine design) where the majority of the evaluation is open book and about solving problems. Most classes land somewhere in the middle.
I think there is a bias towards memorization-based testing because it’s easy. Coming up with trivia questions is easy. Grading those answers is easy. A students can’t complain about marks when they get a date wrong.
Coming up with problem solving questions is hard. Grading them is ambiguous. Students will complain that their mark should be higher. Everything is harder.
If the testing is memorization based, students will get good at memorizing facts and spitting them out on the test. If the test is problems solving, students will optimize for that.
Gauss 2.0; He’s very prolific, very famous in the math community. In this context, he is noteworthy because he’s taking automated theorem proving seriously which destigmatizes it for other pure mathematicians.
I think what gives Tao the title is how multidisciplinary he is. He can wander in to a new subfield of mathematics and start making SOTA contributions after not very much time, which is a rare thing.
I think this is the right line of thinking. My understanding of the grandparent's argument is 2 pieces:
1. Heterogeneity/homogeneity of labour.
2. Tight/lose labour market.
I think Argument 1 is the weaker argument. There's a lot of fungibility between software roles. However, there's a higher learning cost. Moving to a new software company requires a few months before someone is close to full productivity. This in contrast between a painter moving from a Ford supplier to a GM supplier will likely close to full productivity within a few weeks. The cost (to the employer) is lower to rehire someone.
Argument 2 is the stronger argument, but may not be forever. In a tight labour market, I see very little need for unions. If the marginal worker can (and will) leave their position for a better position (pay, benefits, culture, etc), I see little need for unions. However, if the labour market for software engineers shifts in favor of businesses, this will change rapidly.
Yeah, I posted because it's kind of blowing my mind. I was literally wondering this morning why this hasn't been tried -- essentially a pg load balancer, then stumbled across this.
Just doing a Google search for "animals made from circles", you get the usual header full of "Images" and "Videos" crap, then in the actual results links, you have the usual Pinterest linkslop, Facebook linkslop, Reddit linkslop, a bunch of articles written by the designer (now we're getting somewhere). OP's link is finally on page 4 of the search results.
For me, searching "animals made from circles", your comment put this HN thread as the #1 result while the #2 result was a syndicated article about the linked post. When I get more specific and search "animals drawn only from circles" it turns up the linked post as the first result. But my results may be more specific partly because I don't use ad blockers.
There have been classes I’ve taken where ~half of the evaluation is brute memorizing dates/event names. Ive also taken classes (machine design) where the majority of the evaluation is open book and about solving problems. Most classes land somewhere in the middle.
I think there is a bias towards memorization-based testing because it’s easy. Coming up with trivia questions is easy. Grading those answers is easy. A students can’t complain about marks when they get a date wrong.
Coming up with problem solving questions is hard. Grading them is ambiguous. Students will complain that their mark should be higher. Everything is harder.
If the testing is memorization based, students will get good at memorizing facts and spitting them out on the test. If the test is problems solving, students will optimize for that.
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