Open Models Make Agentic Batch Processing Economically Viable A lot of world’s work looks like “Do X for EVERY Y” - read every trace - respo…

Open Models Make Agentic Batch Processing Economically Viable A lot of world’s work looks like “Do X for EVERY Y” - read every trace - respond to every email - deep dive into every document - enrich every lead This is the domain of Agentic Batch Computing Much of the world’s work does not need peak frontier intelligence, it needs carefully shaped intelligence pointed at specific tasks The holy grail here is having a tailored agent run on every single one of these data points + tasks The world is producing more data than ever before. To understand and process it at scale, we’re going to have to point Intelligence and Compute at this Open Models are a fantastic tool here - they’re often an order of magnitude cheaper - they can be finetuned (SFT & RL) to fit to your exact task distribution and outperform frontier models for your task As companies contend with rising AI costs, Open Models and specialized models become incredibly important to make sure there’s good ROI on AI spend here to help as you let the token machine rip without busting the bank (and with better results) 🫡

Source: Harrison Chase (X) | 2026-05-07