Research

1. 2026.08 Map the Failure Boundary We froze a Go1 locomotion policy and measured where it fails across 6,400 combinations of floor friction and lateral push, then retrained on the two gaps the map exposed and measured again. →
2. 2026.05 Monte Found a Decorative Channel and a Reward Exploit in One of Our Benchmarks Monte's adversarial training exposed two failure modes in a MARL benchmark: a communication channel that looked load-bearing but wasn't, and a reward function that incentivized trivial policies. →
3. 2026.05 Where V-JEPA 2.1's Dense Features Hold Up (and Where They Don't) A pre-registered V-JEPA 2.1 robustness study across all four model sizes, with deployment lessons. →
4. 2026.01 10,924x: The Instability Bomb at 1.7B Scale Part 2 of the mHC reproduction series. I scaled from 10M to 1.7B parameters and watched Hyper-Connections hit 10,924x signal amplification. That's not a typo. →
5. 2026.01 DeepSeek's mHC: When Residual Connections Explode DeepSeek replaced standard residuals with massive Hyper-Connections, and then watched them explode. I reproduced the 9x signal amplification to understand their fix: the Sinkhorn-Knopp algorithm. Part 1 of 2. →