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Worth pointing out that it's not 100% accurate at arithmetic, that becomes quite clear when you ask it to calculate large numbers. It's result is usually close, but not perfect.

So it hasn't learned the exact rules for arithmetic, it's learned rules for approximating arithmetic to a decent level of accuracy. Similar to how humans can know the approximate result of an equation before doing the actual math (though GPT is way more precise than humans)

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They need to add support for co-brains - functions that are available for weightware brain to use. Ie if could and knew how to use wolfram alpha - it’d boost performance dramatically.

That's exactly how Bing AI can do search queries and then produce output based on the result.

That's called Toolformer (Facebook AI Research): https://arxiv.org/abs/2302.04761 Toolformer: Language Models Can Teach Themselves to Use Tools

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