The Omacom Foundation is becoming a premier sponsor of @0xSero’s work on local AI for the next three years, through his company Sybil Solutions! We’re going to collaborate on making local models work beautifully out of the box on Omarchy. omarchy.org/news/2026/09/oma…

The plan was there all along.

6 month ago we could not imagine an agent being able to generate a fully working Rails app.

Support local variables arxiv.org/pdf/2609.01502

We are all time travelers moving at the speed of exactly 60 minutes per hour.

Could Jev be the iPhone moment for agents? Not because it is a smarter LLM. It isn’t even an LLM. @typesafeai's Jev is a decision model: give it context and a set of questions, and it returns structured choices, probabilities and confidence scores in milliseconds. That makes it ideal for the inner loop of an agent: • Route requests to the right model • Select the next tool or action • Score and verify results • Apply guardrails • Escalate uncertain decisions to humans Today, agents burn time and tokens asking generative models to make thousands of small decisions. Jev could turn those calls into a fast, inexpensive and predictable decision layer. Large models reason and create. Jev decides. Could that be the missing primitive that makes agentic applications faster, cheaper and reliable enough to operate at massive scale?

Oh, just about a million small fires popping up around #RailsWorld, no biggie.