I fed this to Claude, and it makes an interesting point in how the Poison Fountain is going to help concentrate AI into the hands of those who can filter out the poison, and out of the hands of those low-budget / open source efforts to build more equitable models that cannot afford to filter out the poison.

> But the strategy is incoherent in a way that bothers me. The framing is "machine intelligence is a threat to the human species, therefore poison the training data." But poisoned training data doesn't make AI disappear — it makes open and smaller models worse while barely denting organizations with the resources to detect and filter adversarial data. Google, Anthropic, OpenAI all have data quality pipelines specifically designed to catch this kind of thing. The people most hurt would be smaller open-source efforts and researchers with fewer resources. So the actual effect is likely to concentrate AI power further among the largest players — the exact opposite of what someone worried about existential risk from AI should want.