Raw LLM Responses

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Just want to point out that the underlying work for Alphafold started with a concept similar to the search for AGI - self training systems that could learn the rules for a system without specifically being told what they were. First it was pong and then advanced to systems that could master StarCraft or Go. I appreciate the efforts with Alphafold because it represents one of the best and most altruistic stories in the AI development arc. I'm not sure we will see the same altruism in most initiatives. Once you have a sufficiently smart AGI, it can design the two other 'lesser' categories you describe. And do it faster/cheaper/better. So the three category model you describe might be moot. Pretty good summary of the dangers overall in my own opinion though. Unfortunately I don't think the decision makers understand the AI issue and as you point out, they will increasingly be in the pockets or 'big AI'.
youtube Viral AI Reaction 2025-11-28T06:2…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionapproval
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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