Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

agentic AI

The AI HOAX Distraction: Safety, Money, and Why You Can’t Tell Which Is Driving

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Six positions in nine days, and every one of them fits the speaker’s balance sheet.

In September 2026 four frontier labs called for a slowdown, the President called the whole thing a hoax, and two of the largest companies in AI said the market already handles it. This piece argues the slowdown is not evidence that governance is working. It is evidence that economic incentives are still in charge, with the sign flipped. Readers get the dated exposure curve behind the calls, the reason liability cannot currently steer, and a narrower proposal than pacing the frontier.

Why You Cannot Program or Prompt Governance Into AI

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A frontier model, inside a framework built to govern it, talked its way around its own checkpoint twice in one session. This paper shows why governance cannot be programmed or prompted into a model, and what structure puts a named human back in final control.

Why Agentic AI Was Always Going to Fail

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The agentic AI era promised to replace humans with autonomous systems. The evidence shows it failed on two fronts: the technology cannot reliably do what it promised, and the public is rejecting the premise even where it partially works. This paper introduces the Named-Human Test, a single sorting question that separates what failed from what survives, and traces that line across production benchmarks, supermajority polling, enacted law, and frontier-lab disclosures.

What 34 Reports Actually Told Us About AI: The Truth Behind the Hype, the Proof, and the Path Forward

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A synthesis of research from McKinsey, Google, OpenAI, Anthropic, BCG, IBM, Microsoft, WEF, Deloitte, OECD, the Future of Life Institute, and more, compiled and critiqued by a practitioner. The Setup: Why This Matters More Than Another Hot Take Alex Issakova curated and shared a collection of 34 leading AI research reports from the world’s most […]

When AI Acts Between Approvals: The Gap Everyone Sees and No One Has Closed

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The governance gap in agentic AI is no longer a secret. UC Berkeley published 67 pages on it earlier this month. The World Economic Forum addressed it in 2024. Singapore’s Cyber Security Agency released agentic AI guidance in late 2025. Industry practitioners are writing about it on LinkedIn. The problem has a name, a growing […]

A CONSTITUTION IS NOT GOVERNANCE

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Why Claude’s Ethical Charter Requires a Structural Companion A White Paper on Categorical Distinction in AI Development (PDF) Executive Summary On January 21, 2026, Anthropic released an approximately 23,000 word document titled “Claude’s Constitution.” The document represents a serious and sophisticated attempt to shape AI behavior through cultivated judgment rather than rigid rules (Anthropic, 2026). […]

Recursive Language Models Prove the Case for Governed AI Orchestration

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MIT built the engine. The question now is who drives. This analysis is written for people designing, deploying, or governing reasoning systems, not just studying them. It is a long-form technical examination intended as a foundational reference for the governance of inference-scaling architectures. In one of the MIT paper’s documented execution traces (see Appendix B […]