8/ We're not publishing that example. For now, we are keeping this category off the public API and are working with a trusted set of partners on this domain.
7/ The clearest case came from an internal eval on a long drone video over a conflict zone. The model zoomed on a small door sign, read it, understood what the sign implied about the building's contents (i.e., POL), and flagged the structure as an optimal target for the drone.
9/ Everything else is live today. Try it: http://perceptron.inc/demo?mode=detect Blog: http://perceptron.inc/blog/introducing-perceptron-agentic-detection
7/ The clearest case came from an internal eval on a long drone video over a conflict zone. The model zoomed on a small door sign, read it, understood what the sign implied about the building's contents (i.e., POL), and flagged the structure as an optimal target for the drone.
6/ Building this surprised us in one specific way. Once the model controls where it looks, it goes past detection: the loop reads what it finds and connects it to what it knows about the world, and behaviors show up that base model evals never indicated.
8/ We're not publishing that example. For now, we are keeping this category off the public API and are working with a trusted set of partners on this domain.
7/ The clearest case came from an internal eval on a long drone video over a conflict zone. The model zoomed on a small door sign, read it, understood what the sign implied about the building's contents (i.e., POL), and flagged the structure as an optimal target for the drone.