This post was originally published on the main website on Apr 23 2026. I am reposting it here for SEO reasons and enabling humble bumble discussions with the DEV community. Feel free to engage with this post and i am available to respond during weekends. Sorry about the spam posting all the blogs in one day. I forgor about my dev account <3!
Hey everyone 👋,
I have been building toward this post for a long time. Across everything I have written in this blog, I have been circling the same core question from different angles, and in each post I have gotten a little closer to saying the thing I really want to say without softening it into something that sounds more professionally acceptable. In Language is Limited. ASI is Impossible., I argued that no machine trapped inside symbols can understand reality, because symbols are descriptions of the world and not the world itself. In Mathematical Equations are Multimodal by default, I argued that the only honest language for describing physical reality is mathematics, because equations encode mechanisms while words only encode appearances. In Training Is an Evil Concept. LMMs Eliminates it Altogether., I argued that the practice of extracting value from human creative work to build models without consent is not a neutral engineering choice but a moral failure. In All You Have Access To Is Knowledge and Tools; Never Intelligence!, I argued that every AI system you have ever used has access to knowledge and tools but none of them has intelligence in the sense that word deserves to carry. And in Rethinking ARC-AGI, I argued that even the benchmarks people use to celebrate AI progress are measuring the wrong thing entirely. All of those posts were preparation for this one, because this one is where I say the most direct version of the argument that all the others have been building toward. The argument is this: genuine intelligence will never emerge from neural networks, not after ten more years of scaling, not after a hundred, not after a trillion. Not because I am pessimistic, and not because I want to be contrarian, and not because I do not understand how neural networks work. But because neural networks are the wrong kind of thing, and being the wrong kind of thing is not a fixable bug. It is the defining property of what they are.
