Articles
Deep dives into how the brain actually computes, honest critiques of modern AI, and updates from Optimizing Mind.
When AI Sours: How Efficient Training Changes the ROI Math
80–95% of enterprise AI projects fail to deliver measurable returns, and the hidden cost is not building the model—it is keeping it current. Why data balancing and casino-style rehearsal sour AI ROI, and how self-normalizing Flash Transfer Learning fixes the last mile.
The Lost Science of Cybernetics: Why AI Took a Wrong Turn in 1948 (And How We Fix It)
Before 1948, the science of the brain was cybernetics: feedback loops, homeostasis, and self-regulation. Then AI committed to passive, filter-based networks. Why that was a wrong turn, and how thermostatic regulatory feedback networks fix it—less data, sequential learning, and no catastrophic forgetting.
Rethinking How AI Brains Are Built: Welcome to Optimizing Mind
Why today’s filter-based deep learning is a structural bottleneck, the multidisciplinary path from engineering through neuroscience and medicine that led to reverse-engineering the brain’s computation, and why Optimizing Mind is building AI on thermostatic regulatory feedback.