“Whether that takes you all the way to AGI or not, that's a different question. There are probably some other breakthroughs and advancements needed along the way, but I think there's still a long way to go in In the scaling laws and to really gather a lot of benefits from these larger models.”
quote is from the automated transcript, cleaned for reading:
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More from Mira Murati
PredictionNot checkable as stated
Murati: Scaling RLHF alone might be sufficient to solve AI hallucinations
“And we also wanted to figure out the issue of hallucinations, which is always an extremely hard problem. But I do think that with this method of tree enforcement learning with human feedback, maybe that is all we need if we push this hard enough.”
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PredictionNot checkable as stated
Murati: AGI will be the most important technology humanity builds
“There's not going to be a more important technology that we all build than AGI.”
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Disclosure
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“One thing that people forget is that actually at this time we had already trained GPT-IV. And so internally at OpenAI, we were very excited about GPT-IV and sort of Put Chagipiti in the rearview mirror.”
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Insight
Murati: Developing AGI in a lab vacuum without user feedback is impossible
“It would not be possible to just, you know, sit in a lab and develop this thing in a vacuum without feedback from users from the real world.”
Mira MuratiSep 25, 2023▶ 17:02Where We Go From Here with OpenAI's Mira Murati
AssertionNot checkable as stated
Murati: No evidence that scaling compute and data is slowing AI progress
“So there isn't any evidence that we will not get much better, much more capable models as we continue to scale them across the axis of data and compute.”
Mira MuratiSep 25, 2023▶ 17:52Where We Go From Here with OpenAI's Mira Murati
AssertionNot checkable as stated
Murati: Current AI models perform most tasks at a human intern level
“With fine-tuning, you can get a lot, obviously but in general, I think we're sort of And most tasks kind of like intern level, I would say that's what I generally say.”
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