The Desktop Frontier — Ahmad Osman, Osmantic
AI Engineer
Summary
En esta presentación, Ahmad Osman analiza la evolución de la inteligencia artificial local y de código abierto, destacando la 'ley de densificación'. Explica cómo los modelos son cada vez más eficientes, permitiendo que capacidades que antes requerían grandes servidores ahora funcionen en hardware doméstico como un RTX 3090. Osman argumenta a favor de la IA soberana, instando a empresas y consumidores a poseer su propio hardware para evitar depender de proveedores en la nube, optimizar costes a largo plazo y mantener el control total sobre sus modelos.
Topics covered
- Evolución de modelos abiertos
- Ley de densificación
+5 more topics (full content when you follow the channel)
Transcript excerpt
[music] Hey everyone, we are about to start this presentation. Uh it's called the desktop frontier [snorts] and um [clears throat] it's basically about where we started and how far we've come with local and open source models. Um how many like just a quick question how many of you here follow me on X? >> I'm I'm amazing. Love you all. Love you all. Uh so you know I sometimes every now and then I would say a prediction uh here is a new one within roughly 18 months we are going to have the equivalent of GLM 5.2 class intelligence running on a single RTX 5090 with 32 GB of VRAM. Um that's basically late 2027. Um this this is conservative. We might actually get there faster. So uh you know for a long time uh the story has been bigger models bigger models bigger models how can we get to the next 5 trillion how can we get to the 20 trillion and I'm not saying that there won't ever be like a ga…