Why Defense Gets Humanoids Before Your Home Does: Skylark Labs' Amarjot Singh

Skylark bets humanoid hardware commoditizes while defense-grade adaptive software becomes the defensible, high-margin layer.

• Self-learning architecture: Skylark's foundation model uses handcrafted wavelet/Gabor edge detection, then unsupervised autoencoding, then supervised classification—requiring roughly 1,000x less training data than end-to-end transformers.
• Outlier memory system: Mid-level features flag anything beyond two standard deviations (e.g., a camouflaged tank) as novel, self-label it, store a feature vector in on-device memory, and generalize from there.

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