…ask not just what doing no harm means in an age of globe-spanning algorithms and edited genomes but how that can be enacted daily in what are often morally ambiguous circumstances.

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The more general a model, the more likely it is to pose a serious threat.

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What I cannot create, I do not understand.
Richard Freynman

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One of the issues with LLMs is that they still suffer from the hallucination problem, whereby they often confidently claim widely wrong information as accurate. This is doubly dangerous given they often are right, to an excerpt level. As a user, it’s all too easy to be lulled into a false sense of security and assume anything coming out of the system is true.

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The central problem for humanity in the twenty-first century is how we can nurture sufficient legitimate political power and wisdom, adequate technical mastery, and robust norms to constrain technologies to ensure they continue to do far more good than harm. How in other words, we can contain the seemingly uncontainable.

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Exponential change is coming. It is inevitable. The fact needs to be addressed.

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