Raw LLM Responses

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G thank you moist this means allot I have not drawn seance ai came out because goo… ytr_UgzSRDqFs… G I think the responsible thing to do is obvious. Completely destroy every artific… ytc_UgzzCzr6v… G My dad had a restaurant downtown Detroit very popular Green Dot stables started … ytc_UgzFWLSKX… G There are two lessons you can take from this 1.always be kind to others cuz you… ytc_UgyLZbJn6… G @ It’s not merely about computing matrices; it’s about shaping behaviour through… ytr_UgzVdk14r… G Ok well, if AI is gonna take over the world, first it needs to learn how to get … ytc_UgzKiRYE7… G I feel like 'smug pastels' have got to be on an offensive palette of some kind. … ytc_UgxPs3tni… G People losing your jobs. Use AI to make money. And repeat. Y'all are forgetti… ytc_UgwqzzAAK…
Comment
One note after watching this video - I see a fair number of people who seem to think that because LLMs seem to have encountered scaling issues that superintelligence or AGI is impossible. I'm not sure where exactly they get this idea, since LLMs are just one *type* of AI that has recently grown leaps and bounds. I expect that if LLMs do stagnate, something else or a new approach will show promise and that will become the next big thing. Who knows - the future is unpredictable, but I do think that Mixture of Experts ( MoE ) / component models that reach beyond language and additional tooling are going to greatly expand capabilities, and that there is a lot of room for optimization in both training and inference. I also feel it is quite important to emphasize that the philosophical argument about the nature of the machine ( true intelligence or understanding ) doesn't really matter - the outcome is what is important. The goal is to produce output that would normally require human intelligence. If it can sufficiently simulate whatever is required to outperform us in all assigned tasks, we've reached the point described.
youtube AI Moral Status 2025-11-13T17:3… ♥ 3
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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