Life in the Singularity

Life in the Singularity

The Roadmap to AGI

From Pattern Matching to True Comprehension

Matt McDonagh's avatar
Matt McDonagh
Feb 22, 2026
∙ Paid

We are on the road to creating magic: AGI.

Image

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 …

User's avatar

Continue reading this post for free, courtesy of Matt McDonagh.

Or purchase a paid subscription.
© 2026 Matt McDonagh · Privacy ∙ Terms ∙ Collection notice
Start your SubstackGet the app
Substack is the home for great culture