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by fsndz
541 days ago
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I get the excitement, but folks, this is a model that excels only in things like software engineering/math. They basically used reinforcement learning to train the model to better remember which pattern to use to solve specific problems. This in no way generalises to open ended tasks in a way that makes human in the loop unnecessary. This basically makes assistants better (as soon as they figure out how to make it cheaper), but I wouldn't blindly trust the output of o3. Sam Altman is still wrong: https://www.lycee.ai/blog/why-sam-altman-is-wrong |
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> deep learning doesn't allow models to generalize properly to out-of-distribution data—and that is precisely what we need to build artificial general intelligence.
I think even (or especially) people like Altman accept this as a fact. I do. Hassabis has been saying this for years.
The foundational models are just a foundation. Now start building the AGI superstructure.
And this is also where most of the still human intellectual energy is now.