One day, the rapid advancement of AI via LLMs will slow down and attention will again return to logical reasoning and knowledge representation as championed by the Cyc Project, Cycorp, its cyclists and Dr. Doug Lenat.
Why? If NN inference were so fast, we would compile C programs with it instead of using deductive logical inference that is executed efficiently by the compiler.
This is the definition of a strawman. Who is claiming that NN inference is always the fastest way to run computation?
Instead of trying to bring down another technology (neural networks), how about you focus on making symbolic methods usable to solve real-world problems; e.g. how can I build a robust email spam detection system with symbolic methods?
I have two concerns. First, just after pointing out a logical fallacy from someone else, you added a fallacy: the either-or fallacy. (One can criticize a technology and do other things too.)
Second, you selected an example that illustrates a known and predictable weakness of symbolic systems. Still, there are plenty of real-world problems that symbolic systems address well. So your comment cherry-picks.
It appears as if you are trying to land a counter punch here. I'm weary of this kind of conversational pattern. Many of us know that tends to escalate. I don't want HN to go that direction. We all have varying experience and points of view to contribute. Let's try to be charitable, clear, and logical.
Well done, sir, well done.