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For academic papers I find constructing an outline of the introduction distills 80% of the information I need.

I place a post-it note over each paragraph with a few words, motivation: xyz, challenge:xyz, SOTA, approach xyz.

I read to forget because my words are much easier to skim than someone else’s.

The polygraph is a good example.

The "lie detector" is used to misguide people, the polygraph is used to measure autonomic arousal.

I think these misnomers can cause real issues like thinking the LLM is "reasoning".

“It’s like talking to a PhD level expert” -Sam Altman

https://www.youtube.com/live/0Uu_VJeVVfo?si=PJGU-MomCQP1tyPk

I usually don’t give someone a gift and then borrow it back every day.

The right tool might be Spiking Neural Networks. Due to their sparse activation, event driven computation, and temporal coding. This all depends on how good neuromorphic chips get.

How would this work with the XOR operator? Would it give all possible inputs?

Narwhal is working, maybe the loading of new pages is slower.