Raw LLM Responses

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Is there a reason to think that a specialist system can't generalise with the right scale and training? It's an inelegant and inefficient solution, but it works in most other fields. Even in natural intelligences, specialized regions of the brain can be recruited to other tasks. Using an LLM to generate openscad files, chess moves, or gcode is ugly, but it works well enough. Given enough time and training we should expect these results and every other general task to improve, at which point defining AI as a specialist would be useless however true it was. Human brains seem extremely specialized for interpersonal dynamics and language, there's no evolutionary pressure that selects for understanding abstract mathematics, we seem to have gotten that potential for free when we got good enough at understanding language. You might be able to imagine a layout for a human brain that is significantly better at mathematics, that doesn't mean that our brain specialized for a different purpose is useless at it.
youtube 2025-12-25T22:3… ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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