Ripplemesh Blog
The Blog
News, updates, and insights from the Ripplemesh team.
One Shift, Two Systems: What Ripplemesh Sees That a Typical HR Suite Doesn't
A day in the life of a maintenance technician shows what Ripplemesh records, from work orders to ISO/TS 30437 learning metrics, that a typical HR suite like SAP SuccessFactors does not.
Ripplemesh OI Reaches "Singularity" for Organizational Knowledge Capture, Storage, Management and Queries
Ripplemesh brings learning, knowledge, evidence, actors, and operations into one connected system of record, with deterministic, hallucination-free querying grounded in the organization's own structured evidence.
Ripplemesh OI Powers EnergyData.Stream, a Public Energy Intelligence Site
Ripplemesh OI's backend now provides data curation for EnergyData.Stream, pairing NASA satellite fire data with official EIA statistics in two live, explorable hubs.
Why Astra-Style AGI Is the Antithesis of Ripplemesh AI
The AI industry is chasing autonomous AGI that outperforms humans at most economically valuable work. Ripplemesh takes the opposite position: the LLM should never determine facts — only intent. Here's why that distinction changes everything.
VideoOpinion: The AI Slop Crisis on YouTube Has Reached a Breaking Point
AI is not the enemy, but AI-generated impersonation and deceptive media on YouTube demand accountability. Here's why I'm asking the Texas Attorney General to investigate Google and YouTube's enforcement of their own policies.
VideoThe Fact Doesn't Come From the LLM
On September 3, 2026 we filed a U.S. non-provisional patent application for the architecture behind Ripplemesh. Forty claims, nine independent. Strip away the legal language and they all descend from a single decision: the language model is never allowed to state a fact without a deterministic solution.
It's Worse Than I Thought It Would Be
In 2024 I predicted that if enough plausible AI-generated artifacts of a thing existed, the thing would become real in cultural memory — even if it never existed at all. I called it the Red Duck Paradigm. YouTube just proved me right, at industrial scale.
Why Our AI Won't Pretend to Know What It Doesn't — and How That Made It Smarter
Most AI systems hide their gaps by generating a fluent answer anyway. Ripplemesh's two-part query architecture does the opposite — it turns every gap into a proposed capability, reviewed by a human, that permanently shrinks what the system can't answer.
The Dot Com Crash, the Industrial Revolution, and the AI Boom: Why History Predicts Who Survives
The Dot Com Crash, the Industrial Revolution, and today's AI boom all share the same pattern: real innovation, exaggerated expectations, a correction, and survivors who become the giants of the next era.
Copilot for Enterprise vs. Ripplemesh: Why Grounding Isn't the Same as Verification
Grounding reduces hallucination by feeding an LLM better material. Ripplemesh's two-part query system goes further — it keeps the LLM out of the authoritative-answer path entirely. Here's the structural difference, and why it matters for accountability.
The Next AI Risk Isn't Hallucination. It's Deception.
I have spent 3,000 hours in the past year prompting Claude.
Jobs Are Not Going Away. How You Did Your Former Job Is Going Away.
New tools. New workflows. New opportunities for those willing to adapt.
Hey Look at Me! I am a Foundational AI Company. We can do Stuff!
Google has a problem. It's called AI Slop