‘BTW, AI is fundamentally logical because it is built on mathematical principles, including probability, statistics, linear algebra, and optimization’
AI is based on mimicking biological neurons. All the mathematics you talk about are just tools to make the neurons work, interconnect and converge to relatively stable weights but nobody can predict how those weights would be. So contrary to algorithms, there is nothing ‘fundamentally logical’ in neurons and in AI. AI is fundamentally fuzzy, like anything complex in the real world.
AI is often compared to biological neurons, but modern neural networks are fundamentally mathematical systems, not true brain replicas. While it's true that no one can predict the exact weights a network will learn, the process itself is governed by precise mathematical principles like optimization and probability.AI may not follow strict rule-based logic like traditional algorithms, but that doesn’t make it irrational. Instead, it operates within a structured, mathematical framework that enables it to recognize patterns and make decisions. Calling AI "fuzzy" oversimplifies its nature—it’s complex, but not arbitrary.