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I am greatly disturbed by the idea that any of the demonstrations involve "complex topics". Whether it was the silicon workflow, LLMs, or EUV, I saw nothing complex. Are these supposed to be freshman undergrad or even high school level explainers? I suppose I didn't see any glaring errors on a quick glance, but definitely lots of details were glossed over.

Perhaps basic special relativity could be done this way, or simple derivatives, but definitely not general relativity or integrals, much less PDEs. I guess I was hoping for a 3B1B type output. Oh well.



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What do you consider complex? This might do basic anatomy, or maybe the ~200 bones in the skeletal system, but would you even cover the circulatory system this way? I sure wouldn't try to do liver function with all the feedback systems (bile, pancreas, pituitary) involved.

This might work to explain how a string is stored in different languages, or different sorting mechanisms (bubble vs heap vs insertion vs quick vs merge vs Tim)? That is something covered in 15 minutes of a CS class, but what it misses is why you would choose those mechanisms, and where they are optimal! It's not going to cover a complex topic, like even basic encryption that takes a few classes. In finance it might cover interest or a mortgage payment calculation, but it's not ever going to cover option calculations like Black-Scholes.

The issue is that if all you want to learn are some sequences of words that make is sound like you understand something, but not the processes and models that actually drive the performance and limit the design of that thing, then this "works". But it is classic LLM slop! It's a not good enough to win as a high school science fair entry.

There are things like language learning that I think different techniques could greatly benefit from LLMs. I would love for them to be popularized! I'm sure there are other LLM learning tools that are less gamified, but more effective for actual understanding and depth.


Hallelujah!




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