Raw LLM Responses

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Because AI isn't complex nor requires a tonne of education to understand no matter how much "ML" experts claim. If you've studied mathematics you would have inadvertently studied machine learning. It's just statistics mixed with linear algebra and optimisation. AI/ML is just optimisation renamed. Yes, there are small details like neural networks, but I'm telling you, it's not that complicated or hard to learn - anyone with a math degree is more than capable. The breakthroughs we've had are the reduced costs of computing power and cloud computing. If an algorithm takes 1,000,000 loops to calibrate and has a run time of 10 minutes, finding an algorithm that cuts the loops in half with a better algo is infinitely harder than having a CPU/GPU that can do the 1m loops in half the run time (which is what has happened with the help of NVDA)
reddit AI Responsibility 1737974049.0 ♥ 112
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
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