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dave1010uktoday at 10:57 AM2 repliesview on HN

1. Solve reinforcement learning.

2. solve unsupervised learning.

3. gradually tackle more complicated things.

> what was the "real reason" they couldn't achieve their original goals?

I assume this is referring to why they gave up being a non-profit. The answer is that they needed more money.


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arvid-lindtoday at 12:43 PM

> The answer is that they needed more money.

isn't it still an odd choice for a nonprofit? it's hard to imagine a world without OpenAI and ChatGPT now, but at some point they decided being the best is most important. and presumably most profitable, since why just need a little more money?

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embedding-shapetoday at 11:01 AM

Huh, I guess ML people weren't aware of "divide and conquer" that has been successfully employed in software engineering since basically forever?

> I assume this is referring to why they gave up being a non-profit. The answer is that they needed more money.

Ugh, that was more boring than even I expected, thanks a lot for saving me the time though, seems avoiding watching the full thing was worth it.

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