Raw LLM Responses

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In 50:17 Pope returns to the same position, his conviction that the ASI will be bound by the training. Even though we know we have seen models which had exceeded their training, like models solving ARC-AGI tests or Sydney learning Farsi. So the question I have now isn't for pope, it's for Liron: Why just 50%?.. I mean, this discussion shows that the software engineers fix themselves into a worldview that will allow themselves to continue business as usual, even though we know better (and in some cases, they also know better). They will continue to accelerate. AI 2027 which assumes they will do just that, predicts the AI will find a way to escape the lab in 2027. It's currently 91% on track. So why 50% by 2040? Why not 91% by 2031? Liron, is the only reason, your wish not to upset the viewers?
youtube 2026-03-25T16:0… ♥ 4
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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