Thought you might find it interesting.

[1] https://en.wikipedia.org/wiki/%C4%80tman_(Hinduism) [2] https://en.wikipedia.org/wiki/Sa%E1%B9%83s%C4%81ra [3] https://en.wikipedia.org/wiki/Dharma [4] https://en.wikipedia.org/wiki/Karma_in_Hinduism [5] https://en.wikipedia.org/wiki/Moksha [6] https://en.wikipedia.org/wiki/Brahman

could you please elaborate on this? why is it clearly a dead end and why would human values clearly end? any resources you can point to would be great. thank you.

I do share your view that positive direction is not a given, but what evidence do we have that it would be worse than right now. Maybe we should be cautious of the risks.

Are you saying the gp needs to rethink their ideas on death? Wouldn't that be like accepting defeat because the problem is hard?

https://youtu.be/bEXefdbQDjw

If i take every atom/molecule from one brain (assume a snapshot in time) and replicate it one by one at a different location, and replicate the external IO (stimulus, glucose...), what evidence do we have that this won't work? likely not much

Now instead of replicating ALL the atoms/molecules exactly, I replace one of the higher level entities like a single neuron with a computational equivalent - a tiny computer of sorts that perfectly replaces a neuron within the error bars of the biological neuron. Will this not work? I mean, will it not behave in the same exact way as the original biological brain with consciousness? (We have some evidence that we can replace certain circuits in the brain with man-made equivalents and it continues to work.)

You know where I'm going with this... FindAll, ReplaceAll. Why would it be any different?

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If i had to argue that it wouldn't be the same, here's a quick braindump off the top of my head:

- some entities like neurons literally cannot be replicated without the goo. physics limitation? but the existence of the goo is a proof of existence. but still, maybe the goo has properties that cannot be replicated with other substances

- our model of the physical world has serious limitations. on the order of pre-knowing-speed-of-light-limitation. maybe putting the building blocks together does not create the full thing. maybe building blocks + magic is needed to create the whole.

- other fun limitation of our physical model

how practical do you think grpo is? (for most people)

here's my thoughts - grpo starts off slow, with super small loss (likely because the rewards on all observations are the same) - as you mentioned, some sft on reasoning data ought to help speed things up - unless you're a lab with a gazillion gpus, wouldn't you be better off taking your non-reasoning dataset and converting it into a high quality reasoning dataset using frontier models (maybe deepseek)? could grpo be cheaper or better accuracy? - maybe you do tons of sft and when you've reached the frontier models' perf on your task, then perhaps grpo could help more exploration

would be great to hear your thoughts

Seems like it can handle tables.