Training Is an Evil Concept. LMMs Eliminates it Altogether.

This post was originally published on the main website on Apr 16 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 👋, In my last few posts, I have been building a case, one piece at a time, that the direction most of the AI industry is moving in is not the direction that will produce genuine intelligence. In LLMs are Useful. LMMs will Break Reality , I argued that language models are trapped inside a symbolic cage, that they can describe the world without ever touching it, and that the transition from text-prediction to mathematical perception is the most important shift happening in AI right now. In Mathematical Equations are Multimodal by default , I argued that equations are not tools for homework but the most compressed and honest representations of reality that humans have ever produced, and that any system built around equations inherits their multimodal power for free. In LLMs destroyed the Internet. LMMs will make it alive. , I argued that the mass deployment of language models as content factories has quietly dissolved the authenticity that made the web worth using, and that only grounded intelligence tied to reality can reverse that damage. Each of those posts was a different face of the same underlying argument, which is that the current paradigm is built on a foundation that looks impressive from the outside and is rotten from the inside. And in this post I want to say the thing that connects all of those faces, the thing that I have been circling around for months without quite naming directly, because I was not sure I had earned the right to say it yet. The thing is this: training, as it is currently practiced and celebrated in the AI industry, is not a neutral engineering choice. It is a moral choice that most of