LLMs destroyed the Internet. LMMs will make it alive.

This post was originally published on the main website on Apr 15 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 previous post, Mathematical Equations are Multimodal by default , I made the argument that equations are not just tools for computation but the most compressed and most powerful representations of reality that humans have ever discovered, and that a single well-formed equation can generate outputs in text, images, sound, motion, and numerical prediction all at once, because it encodes the mechanism rather than any particular surface appearance. I meant every word of that, and I still do. But there is something I have been carrying with me across all of these posts that I have not quite said directly, something that connects my frustration with technology, my grief over what the internet has become, and my cautious hope about where AI is heading, and I need to say it now because the argument is finally complete enough to state. The argument is this: large language models, in the way they have been deployed at industrial scale over the last few years, have done something quiet and damaging to the internet. They did not break it with a single catastrophic event. They dissolved it. Slowly. Paragraph by paragraph, article by article, page by page. They took a living conversation between millions of real humans and replaced increasing chunks of it with synthetic noise that sounds like thought but contains very little of it. And the tragedy is not that the technology is evil, because it is not. The tragedy is that we picked up an extraordinary tool and mostly used it to drown out the authenticity that made the web worth visiting in the first place. I have watched this happen in real time, and it has made me angry