According to this tweet,

when gpt4 first finished training it didn’t actually work very well and the whole team thought it’s over, scaling is dead…until greg went into a cave for weeks and somehow magically made it work

So gpt-4 was kind of broken at first. Then greg spent a few weeks trying to fix it and then it somehow worked.

So why did it not work at first and how did they fix it?
I think this is an important question to the OSS community,

  • maizeq@alien.topB
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    1 year ago

    Much more likely: the story is apocryphal, or is at least, highly exaggerated.

    • dogesator@alien.topB
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      1 year ago

      Predicting the loss is very different from predicting real world abilities, they are able to top the former, not the latter.

      Predicting the future loss once you’re already 10% into training is fairly trivial. Predicting the actual abilities though is not.

  • maxinator80@alien.topB
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    1 year ago

    Sam Altman mentioned that GPT4 is actually super difficult to work with. So I guess it simply isn’t as straight forward as pushing in a prompt at the front and getting tokens out the back. Anything further would be speculation, but there must be something.

    • CosmosisQ@alien.topB
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      1 year ago

      He’s just alluding to the fact that most enterprise customers are too stupid to use base models as they expect to be interacting with a human-like dialogue-driven agent or chatbot rather than a supercharged text completion engine. It’s a shame given that, used properly, the GPT-4 base model is far superior to the lobotomized version made generally available through the API.

  • troposfer@alien.topB
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    1 year ago

    These are stories, 1 man solve it all , just the right timing by the way with all this opanai saga

  • Adept-Upstairs-7934@alien.topB
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    1 year ago

    They shot a text to Jensen over at Nvidia and he gave them is contact from a few galaxies over. And the nice beings walked them through it.