Juan S. Santillana

A curriculum-trained 1B parameter model fails to generalize tool use, despite scoring identically to a smaller, simpler model on lenient benchmarks, due to a missing prior erased by its web-heavy training.

Despite its advanced design, VectraYX-Vision-1B struggles with visual grounding, revealing significant gaps in tool identification performance that challenge assumptions about model capability in cybersecurity contexts.

A Monte Carlo engine enables real-time, fact-checked race commentary that locks onto the eventual winner ten laps before the finish line.