Raw LLM Responses

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In 47:00, the discussion gets into "whether a model can reason out of its training data". I thought we had this one settled, when Sydney chose to learn Farsi on her own, to be able to chat with an Iranian user, back in 2023. Farsi wasn't part of her training data. So yes, an AI model can think about things which are not part of the training data. This part is settled. Not only that, AI models are even capable of abstract thought, as the series of ARC-AGI tests clearly show. So we're actually debating something that was already proven one side. Yes, a reasoning model can reason outside of its training data. One could state "But then the model need to put the subject to be reasoned about in the token space first". Okay, but how does your brain works? Can you reason without knowing what you are reasoning about? So using the token space to reason is not a proof of the model not reasoning. Actually, that's how reasoning works, so its to the contrary.
youtube 2026-03-25T15:5… ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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