Regulating Data Center Acoustic Noise: An Opportunity for Spartanburg County to Lead
Regulating Data Center Acoustic Noise:
An Opportunity for Spartanburg County to Lead
Regulating Data Center Acoustic Noise:
An Opportunity for Spartanburg County to Lead
The Honorable A. Manning Lynch
Chairman, Spartanburg County Council
366 N. Church Street, Suite 1000
Spartanburg, SC 2930
An American Golden Age Requires Freedom to Innovate—
and Government That Can Learn
Competitive enterprise, personal superintelligence, strategic research investment, and constitutional limits offer an alternative to political control of the technology shaping our future.
Its continuing importance, however, depends upon adapting it to a computing environment fundamentally different from the one in which vulnerability databases were originally developed.
The principal recommendation of this response is straighfforward:
Your Superintelligent Assistant or
Someone Else’s Superintelligent Marketing Tool?
Is AI Making Us Smarter or Dumber?
A research proposal for measuring human development
and improving AI use through cybernetic feedback
Artificial intelligence can improve the work people produce without necessarily improving their ability to understand it. It can also help people learn, reason, and accomplish things that previously lay beyond their practical reach.
From Policy to Permission: Gartner’s Technology Map Reinforces Our Agentic Security Architecture
An assessment of Gartner’s “Hype Cycle for AI Governance Technologies, 2026,” and its implications for our 2026 Q3 Enhanced Agentic Security Architecture, Version 2.1.
From the AI CISO to Enforceable Assurance: Evaluating Forrester’s Vision Against Our Agentic Security Architecture
2026 Q3 Enhanced Agentic Security Architecture
Version 2.1 — Published Q3 Architecture
Original Initial Release: August 24, 2026
Dennis C. Hayes — SpartansFirst
October 2026 reconciliation of the Q3 architectural baseline
The Missing Connection: Why AI Still Struggles to Find the Research That Could Change Everything
Artificial intelligence can read millions of words, search enormous databases, summarize scientific papers and increasingly help researchers formulate hypotheses. But can it do something that exceptional scientists routinely do—recognize that an idea developed for an apparently different problem may be exactly the idea needed to solve the problem in front of them?