| ▲ | dave1010uk 13 hours ago | ||||||||||||||||||||||
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. | |||||||||||||||||||||||
| ▲ | embedding-shape 13 hours ago | parent | next [-] | ||||||||||||||||||||||
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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| ▲ | arvid-lind 11 hours ago | parent | prev [-] | ||||||||||||||||||||||
> 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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