The Roadmap to AGI
From Pattern Matching to True Comprehension
We are on the road to creating magic: AGI.
This chart is one of the most important in the world. It illustrates a metric called the “Time Horizon” for Large Language Models when tackling complex software engineering tasks. Specifically, it tracks how long an AI can work autonomously on a problem before its performance or reliability breaks down.
In just two weeks, AI gained the ability to work for 7-hrs non-stop at the speed of light (before context failure and performance dropped off).. to being able to work for 15 hours.
We are transitioning from AI as a "search engine for code" to AI as a "synthetic employee." If a model can stay on track for 15 hours, it can complete entire features or refactor entire repositories overnight.
A 15-hour time horizon means one developer could potentially oversee a dozen AI agents, each doing the work of a junior-to-mid-level engineer. This significantly lowers the cost of software production.
Carry that curve forward in your mind and imagine how long our …



