Calgary researcher launches DeeCi as proof of deterministic intelligence

Independent researcher David W. Taylor says he has created a new field called Epistemic Dynamics and launched DeeCi, a free-preview intelligence platform now live at thedeeci.com. Taylor says the work includes 500-plus original discoveries across mathematics and physics and is intended to show that deterministic intelligence can be mathematically verified.

Why it matters: - Taylor is pitching a challenge to probabilistic AI by arguing intelligence can be governed by mathematical and physical laws. - The launch of DeeCi is meant to serve as public proof that deterministic intelligence can work in practice. - The framework could reshape how security, verification and trust are handled in AI systems if the claims hold up.

What happened: - Independent researcher David W. Taylor announced a new scientific field called Epistemic Dynamics and a platform called DeeCi on Aug. 20, 2026. - Taylor described DeeCi as the world’s first Deterministic Cognitive Intelligence platform. - DeeCi is live now and available for free preview access at thedeeci.com.

The details: - Taylor says the research program spans years and applies conservation laws, thermodynamic constraints and quantum mechanical principles to machine intelligence. - Taylor says the framework treats those principles as governing laws rather than metaphors. - The research spans topology, membrane dynamics, field theory, annihilation mechanics and cryptographic isolation. - Taylor says Epistemic Dynamics is the formal science of how knowledge systems achieve deterministic verification at scale. - Taylor says Deterministic Zero-Trust is a new infrastructure category where outputs are mathematically governed, execution is cryptographically sealed and truth is computationally verified before delivery. - Taylor says the theory base is documented across a 20-paper publication series. - Taylor says he has cataloged more than 500 original mathematical and physical discoveries, each backed by mathematical proof and empirical validation. - Taylor says the research is mathematically hashed, versioned and archived with established priority dates in a dedicated intellectual property vault. - Taylor says additional papers are being held for patent development.

Between the lines: - The announcement blends scientific framing with product launch language, signaling an effort to turn a research thesis into a commercial platform. - The strongest claims in the release are extraordinary and would require outside validation to assess. - The emphasis on hashing, versioning and priority dates suggests Taylor is also trying to establish provenance and defensibility around the work.

What's next: - Taylor is positioning DeeCi as the public demonstration of the underlying theory. - The platform’s free-preview status suggests the next step is broader user testing and scrutiny. - Further papers and patent-related filings appear to be part of the ongoing rollout.

The bottom line: - Taylor is asking the market to accept a new intelligence paradigm and a new scientific field at the same time.