by

What if the Signal wasn’t the Message ?

Back Story What started out as a messaging protocol that mathematically transformed Natural Language into vectors in a bounded space evolved into something more, something interdisciplinary that transcended encryption, encoding, and messaging. First it important to Recall the meaning of High Entropy Encoding systems  Human languages are often treated as low-entropy systems: ordered, predictable, and compressible. But this order is the product of consensus not a native property of language.
read more
by

Expanding HEES to Zero Threat Surface

Lets Review the flavors of HEES which includes Sub-Lex and HESS now just referred to as the High Entropy Encoding Systems family . This is an expansion of our Substack post the reader may want to review that   https://open.substack.com/pub/michele211/p/high-entropy-encoding-as-a-new-standard?utm_campaign=post-expanded-share&utm_medium=post%20viewer When we first conceived of HESS we mentioned we expected there to be variants based on what we saw as a new standard of encoding in this Article we introduce HESS
read more
by

Protecting Medical Records

  When “Need to Know” Really Means Something An unconscious patient is rushed into the ER. The staff searches their wallet and finds a card — with a QR code. They scan it. Instantly, the attending physician sees exactly what they need: • Known allergies • Current medications • Critical history (like a heart condition) They don’t see psych notes. They don’t see outdated or misdiagnosed conditions. They don’t wade
read more
by

Privacy-First Medical Analytics with AWS Middleware

Here’s a refined architecture based on your vision — integrating AWS as a cloud middleware layer, while keeping Sub-Lex-2 encryption in place for any PII or sensitive user data, ensuring that no identifiable data is ever exposed to the AI layer.             +———————-+ | Wearables / HealthKit / EMR APIs | +———————-+ │ [On-Device Health Journal App] │ ┌────────────────┴──────────────┐ │ Sub-Lex-2 Encryption Engine │ <–
read more
by

Toward a Patient-Centered AI Gateway

A Privacy-First Approach to Health Data Integration Introduction The healthcare sector is on the cusp of a massive transformation, spurred by breakthroughs in generative AI, real-time health monitoring, and federated data infrastructure. As companies like OpenAI and Anthropic introduce clinical-grade capabilities into large language models (LLMs), the prospect of AI-assisted diagnostics, treatment planning, and patient support is no longer a distant vision. But with this innovation comes a deep concern:
read more