ottaborra

I've noticed if at all there is any advice that is universally applicable overarching discipline, motivation, ... is growth.

Plain and simple.

The way to grow is so subtle, so easy to miss, negligent from afar and in the long run catches up to you. I've noticed going from someone who used to sweat profusely while ordering food to able to go and talk to anybody. But it didn't come consciously, it came after a long long time of screw ups and medicore experiences and just exchanges I wouldn't have thought led anywhere. It definitely is non linear atleast from my experience. SO I'm curious to know what you folks think is the best way to grow

Iterative progress gives people the illusion of progress most of the time. Iterative progress is more a soother of emotions than an actual solution. Most of human problem solving techniques are based around soothing the anxious mind than tackling the problem

I'm always curious to know other folks' heuristics for better decision making whether it be "ask questions after action" or top-10 ways this will fail list and throw out the last 5. It helps to understand people in general and general forecasting of decisions

From 1.criticism of how inadequate the transformer architecture is 2.depletion of training data 3.improvements to the attention mechanism 4. AGI supposedly being miles away

where does the new results put the field and what avenues need more focus and what others need less focus to the point of complete cutoff?

From criticism of how inadequate the transformer architecture is, depletion of training data, improvements to the attention mechanism, AGI supposedly being miles away; where does the new results put the field and what avenues need more focus and what others need less focus to the point of complete cutoff?

Given how we live in transformer-led AI revolution seeing positive results on an unprecented scale, what did we as a species get wrong in our past attempts at AI? Why did GOFAI fail to produce the same level of results? Is it purely because the folks of the past lacked scale be it hardware and data? Attention seemed to be around for atleast a decade, but it was only recently did it gain prominence. Is the next big leap in AI sitting in a random unnoticed paper waiting for someone to dedicate resources ?

A nice list of what bad problem solving looks like may help people identity it at the get-go and may help make the world a better place

I think a bad problem solving habit is the utter lack of tinkering with the problem and just expecting answers to pop up from continuously ruminating about the problem. Usually driven by stress and I've noticed this in some parents while child-rearing, colleagues when solving a problem, etc