While I’m actively looking for a deep-tech co-founder for GlyphAI, most of my time right now is occupied by academic work and ongoing research.
That work keeps reinforcing why GlyphAI must exist.
During my current research cycle, I came across several publications that I found genuinely exciting—because they independently validate ideas we are building architecturally, not just conceptually.
A few highlights worth sharing:
• Mathematical foundations of AI that formalize intelligence beyond heuristics and scale • Cognitive linguistics and biocognitive science showing that meaning is not stored as raw symbols, but as structured, layered concepts shaped by culture and context • Recent work proving that modern language models are injective and invertible, meaning their internal representations are lossless—a result with serious implications for privacy, transparency, and reconstruction risks
Taken together, these works point to something important:
AI systems do not “forget” as much as we assume. They preserve meaning—even when we think they don’t.
This is exactly why semantic-level protection matters more than surface-level filtering or after-the-fact moderation.
GlyphAI is being designed around this insight:
Work with meaning, not raw data
Encode intent, not personal content
Enable memory without exposure
Build protection into the architecture, not the policy layer
I’ll share more thoughts as this research progresses. For now, I’m grateful that independent academic work continues to converge on the same conclusion:
If AI systems preserve meaning by design, then safety, privacy, and accountability must also be designed at the semantic level.
If you’re working in symbolic AI, model interpretability, privacy-preserving ML, or foundational AI theory—and are curious about building something deep and difficult—feel free to reach out.
— Building GlyphAI Protecting meaning. Protecting humans.
In the movie, land and sea represent more than just environments—they symbolize different ways of being, communicating, and existing. The challenge isn’t just about translation; it’s about meaning preservation, context, and intent.
This is where GlyphAI shines.
At its core, GlyphAI is a symbolic AI framework inspired by human shorthand and logographic writing systems. It doesn’t just compress data—it encodes meaning into compact, reusable symbols that retain semantic richness without storing raw, sensitive information.
This makes GlyphAI uniquely suited to bridge communication gaps:
In the movie, communication fails when one side cannot interpret the other’s signals. Similarly, in tech:
GlyphAI acts as a universal semantic protocol—a kind of “digital esperanto”—that allows different systems, languages, and regulatory frameworks to coexist and collaborate.
“The War Between the Land and the Sea” reminds us that understanding requires more than words—it requires shared meaning. GlyphAI is more than a tool for efficiency; it’s a step toward a more connected, comprehensible, and compassionate digital world.
I’m excited to see how symbolic AI will continue to bridge divides—between systems, people, and perhaps one day, between land and sea.
Interested in symbolic AI, GDPR-compliant systems, or the future of cross-cultural communication? Let’s connect and discuss!
The Project
Traditional backup is a paradox. We create copies of our most valuable data to protect it, but in doing so, we create more targets for attackers. A breached backup can mean total catastrophe.
At GlyphAI, we asked a different question: What if the very nature of backed-up data made it a pointless target?
The GlyphAI Difference: A New Paradigm for Resilience
Our approach to backup is unique because we don't backup "data" in the traditional sense. Here's how it works at a high level:
What Makes This Unique?
We're moving beyond just making copies. We're making data intrinsically resilient.
What's the biggest challenge your organization faces with data backup and recovery?