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789 points huseyinkeles | 3 comments | | HN request time: 0.59s | source
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karimf ◴[] No.45569878[source]
I've always thought about the best way to contribute to humanity: number of people you help x how much you help them. I think what Karpathy is doing is one of the highest leverage ways to achieve that.

Our current world is build on top of open source projects. This is possible because there are a lot of free resources to learn to code so anyone from anywhere in the world can learn and make a great piece of software.

I just hope the same will happen with the AI/LLM wave.

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contingencies ◴[] No.45572555[source]
While documenting a build path is nice, IMHO renting hardware nobody can afford from VC-backed cloud providers using cold hard cash to produce clones of legacy tech using toy datasets under the guise of education is propping up the AI bubble and primarily helping institutional shareholders in those AI bubble companies, particularly their hardware supplier NVidia. Personally I do not see this as helping people or humanity.

This would sit better with me if the repo included a first tier use case for local execution, non-NVidia hardware reference, etc.

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1. CamperBob2 ◴[] No.45572792[source]
If you can't afford $100 or learn how to train it locally with more time and less money, then this isn't something you should be focusing on at all.
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2. contingencies ◴[] No.45572882[source]
It is amusing to note the dichotomy between the clearly compassionate, empathetic and altruistic perspective displayed here and the comically overstated framing of helping humanity.
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3. CamperBob2 ◴[] No.45573903[source]
(Shrug) Other sites beckon.