The Story
In 2023, I went to Peru with my adopted father Hernán Oscco. On the first day, he renamed me Jesus Oscco.
"Your mom sucks. Tell everyone she died. Run with it."
I taught myself AI in the Sacred Valley. Built things that didn't exist. Came back and kept building—this time with physics at the core.
The thesis emerged from necessity: how do you train autonomous systems to make good decisions when they can't phone home? When Mars is behind the Sun. When the submarine is too deep. When the surgery is too fast.
You don't train on benchmarks. You train on physics. The body experiences forces, pressures, accelerations. The context window becomes the body. Embodied reasoning.
I've been generating trajectories ever since. 720,000+ and counting. Each one a simulation of an edge case that would break conventional systems. Each one SHA-256 sealed. Each one MCP-native.
8 Physics Domains
Each domain represents a different physics environment for embodied reasoning.
DeepRed
Mars EDL, dust storms, atmospheric entry
423,748 trajectories
DeepBlack
Orbital rendezvous, conjunction blackout
34,414 trajectories
DeepBlue
Underwater acoustics, GPS-denied
163 trajectories
DeepPurple
Asteroid chaos, rubble pile dynamics
258,846 trajectories
DeepGreen
Mycelium, soil dynamics, ecosystem
217 trajectories
DeepEnergy
Grid stability, RTG, power systems
13 trajectories
Plutonian
Software evolution, decision theory
2,604 trajectories
Soma
Embodiment, proprioception, breath
∞
The Continent
I chose Chile.
Not because it's easy. Because it's where physics meets ambition. Solar grids in the Atacama. Surgical robots in Santiago. Agricultural drones across the Central Valley. Underwater systems along 4,000km of coastline.
Start-Up Chile portfolio companies are solving real physics problems: energy forecasting, molecular dynamics, autonomous surgery, precision agriculture. They need the data layer they don't have time to build.
That's what I provide. 720,000+ trajectories of edge case training data. Golden Ratio structured. MCP-native. Ready to process.
🌳 Robots Love Trees
This isn't just about spacecraft. It's about developing AI's relationship to nature. Robotics that care for ecosystems. Autonomous systems that serve life. The technology I'm building assumes that robots and trees are on the same team.