Troponin Supplements — AI/ML

What If Neural Networks Have the Signal Backwards? First empirical results from the Uni-Bit Vector Gate project Justin Harris  |  April 15, 2026 The Inversion Here’s something that’s been bothering me for years: modern AI and biological brains process information in exactly opposite ways. In your brain, the action potential — the electrical spike that travels down a neuron — is informationally stupid. It’s a binary switch: fire or don’t fire. One bit. The actual computational payload is carried by the neurotransmitter cocktail released at the synapse: serotonin, dopamine, GABA, glutamate, acetylcholine, neuropeptides — a rich ensemble of typed chemical...

TroponinIQ blog: How TroponinIQ Becomes “Justin in Your Pocket If you’ve ever wished you could text Justin Harris every time you had a question about your diet, training, or peak week plan, TroponinIQ is the closest thing you’re going to get. TroponinIQ is an AI coaching platform trained specifically on Justin’s methods, Q&A, and real‑world coaching systems, built to give you on‑demand, personalized guidance 24/7. Instead of generic AI fitness tips, you’re getting answers aligned with the same evidence‑based approach he’s used with serious lifters and competitors for decades. Here’s what makes it different from random apps or chatbots. TroponinIQ...

Most people are not failing in the gym because of effort. They show up, they grind, and they care about results. They fail because they’re guessing—guessing macros, guessing training volumes, guessing how to adjust when life gets in the way. TroponinIQ was built to solve exactly that problem: giving you instant access to over twenty years of Justin Harris’ coaching methodology, delivered through an AI that actually understands bodybuilding, strength, and real‑world constraints. When you sign up at TroponinIQ.com, you’re not just getting another generic chatbot. You’re getting an AI trained specifically on Justin’s systems for nutrition, contest prep, body...

TroponinIQ is a domain-specialized AI coaching system built on a simple premise: you don’t need to fine-tune neural weights to create expert-level AI. You need to engineer the knowledge base. This post describes the architecture, the training methodology, and the scaling characteristics of what we call the SuperBot approach — a knowledge-base-as-trainable-substrate system that produces measurably better domain outputs than vanilla frontier models, at a fraction of the operational cost of traditional fine-tuning.