We’re watching large language models evolve in a way that feels less like “software getting better” and more like the arrival of a new engine class. Each release adds torque: faster inference, longer context, sharper reasoning, stronger tool use, deeper multimodality.
The market story that follows is almost automatic: more capability wins, therefore more capability is progress. But capability is not the same thing as direction, and speed is not the same thing as purpose.
When an engine becomes dramatically more powerful than the systems that guide it, the gap doesn’t stay theoretical for long; it becomes a bill that arrives in production.
The bill shows up as brittle reliability, unbounded behavior, and the quiet erosion of trust that no benchmark chart can repay. We keep celebrating horsepower because it’s measurable and dramatic, and we keep postponing navigation because it’s subtle and difficult.
Moreover: https://www.linkedin.com/article/edit/7409315352599359489