There has always been doubt that AI will continue to progress. One such argument was that as the length of tasks AI is solving increases, compute and the techniques used to train the models will not be able to keep pace. The empirical reality has ended up showing that AI progress continues.
In the last month there have been non-stop open model releases which trade blows on benchmarks against recent frontier models. However, local models often outperform on benchmarks, and underperform on real world tasks (1, 2). There's a whole host of reasons for this, but one that is relevant
Update 04/24/2026: This blog was written for version v0.13.4 of Gas City released at the end of March. Since then Gas City has moved to version 1.0. I would recommend checking out Steve's blog about the release: Welcome to Gas City Agents finally
More choice seems better, right? Turns out that is the case, but it comes with a cost, and not necessarily a monetary one.