At Sapien Fusion, credibility isn’t negotiable. Every claim in the Capital Efficiency Paradox series underwent systematic verification before publication. This document provides full transparency into our research methodology, source hierarchy, and verification protocols.

Most AI labs pursued incremental improvements on text and 2D image generation. Fei-Fei Li recognized something different during her 2017-2018 tenure as VP and Chief Scientist of AI/ML at Google Cloud: AI systems operated in a fundamentally two-dimensional paradigm, processing text tokens and image pixels without genuine spatial understanding.

In 2017, Joelle Pineau joined Meta to establish FAIR’s Montreal laboratory with 20-30 researchers. By 2025, when she left to become Chief AI Officer at Cohere, that research organization had released over 1,000 research artifacts—code, models, datasets—downloaded 2.7 billion times globally.

This is Part 6 of our 6-part Deep Dive series on neuromorphic computing—the brain-inspired processors achieving 1,000× efficiency improvements over GPUs at the edge. ←

This is Part 5 of our 6-part Deep Dive series on neuromorphic computing—the brain-inspired processors achieving 1,000× efficiency improvements over GPUs at the edge. ←

This is Part 4 of our 6-part Deep Dive series on neuromorphic computing—the brain-inspired processors achieving 1,000× efficiency improvements over GPUs at the edge. ←