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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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Economic Override Pattern

Superintelligence Has Authors, the US Government Is Not One of Them

October 3, 2026 by Basil C. Puglisi 1 Comment

AI-generated image of President Trump and tech executives at a table while faded researchers with question marks stand behind

President Trump renamed artificial intelligence after a mind no one has built.

Executive Order 14434 gives today’s ordinary AI the name researchers reserved for an intellect beyond ours, and the minds who defined that word were not in the room. Basil C. Puglisi traces superintelligence from Turing and Good to Bostrom and shows how the order skips the AGI rung. The rename is a bad joke if superintelligence is far off and dangerous if the fears are right.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Augmented Intelligence, Business, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership, Workflow Tagged With: AI Governance, AI Industrialist, AI Policy, artificial general intelligence, Augmented Intelligence, Ban Artificial Superintelligence Act, Basil Puglisi, Checkpoint-Based Governance, Economic Override Pattern, Executive Order 14434, I. J. Good, Nick Bostrom, Super Intelligence, superintelligence, White House Accord on Super Intelligence

A Year Ago I Told You AGI Was Hype. Superintelligence Is Further Off Than Sold, and It Will Not End Us.

September 26, 2026 by Basil C. Puglisi 1 Comment

Illustration of a small warmly lit hand holding a flashlight that casts a huge robot shadow across a pale wall

The machine is never the one who answers for what it does.

A September 2025 essay argued that AGI talk is usually about money and not reality. This September, Andrew Ng, Timnit Gebru, and Emily Bender reached the same point about responsibility from opposite sides of the AI debate. The piece separates real capability from the claims stacked on it, argues that superintelligence is further off than sold and will not end us, and moves from a human chain of responsibility to a real checkpoint.

Filed Under: AI Artificial Intelligence, Business, Digital Factics Blog, Multi-AI Governance, Thought Leadership Tagged With: AGI, AGI hype, AI accountability, AI extinction risk, AI Governance, Andrew Ng, artificial general intelligence, Checkpoint-Based Governance, Economic Override Pattern, Emily Bender, liability sponge, OpenAI Hugging Face incident, superintelligence, Timnit Gebru, Yann LeCun

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

September 17, 2026 by Basil C. Puglisi 4 Comments

Dark server monolith looms over a crowd under a WE THE PEOPLE banner while two groups argue from money piles

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.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Augmented Intelligence, Business, Code & Technical Builds, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: agentic AI, AI accountability, AI Governance, AI Insurance, AI Liability, AI Policy, AI Regulation, AI safety, Checkpoint-Based Governance, Dario Amodei, Economic Override Pattern, EU AI Act, product liability, provider plurality

Why Agentic AI Was Always Going to Fail

June 4, 2026 by Basil C. Puglisi 3 Comments

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.

Filed Under: AI Artificial Intelligence, AI Governance, Business, Content Marketing, Enterprise AI, Multi-AI Governance, Thought Leadership, Workflow, Working Papers Tagged With: agentic AI, AI Governance, Checkpoint-Based Governance, Economic Override Pattern, Human-AI Collaboration, MIT Delphi Study, Named Human Authority, Named-Human Test, OpenClaw, Responsible AI

AI Governance Beyond the Warning: From Tristan Harris’s Diagnosis to the Infrastructure It Requires

April 12, 2026 by Basil C. Puglisi 1 Comment

Graphite sketch of two men in conversation at a podcast studio table with a microphone between them

A Governance Practitioner’s Response to the Diary of a CEO Interview (PDF Here) Executive Summary Tristan Harris’s November 2025 conversation on The Diary of a CEO reached millions of viewers with a structural diagnosis of the AI race: the same incentive architecture that produced social media’s damage to democracy and mental health is now operating […]

Filed Under: AI Artificial Intelligence, AI Governance, Multi-AI Governance, Thought Leadership, White Papers Tagged With: Agentic Misalignment, AI Governance, AI provider plurality, AI safety, Alignment Faking, Anthropic, Checkpoint-Based Governance, Congressional AI Policy, controlai, Diary of a CEO, Economic Override Pattern, Erik Brynjolfsson, Geoffrey Hinton, GOPEL, HAIA, Lina Khan, Open Source Governance, Steven Bartlett, Stuart Russell, Tristan Harris

Enterprise AI ROI: What Seven Landmark Reports Found, What They Missed, and Five Decisions Worth Making Now

April 2, 2026 by Basil C. Puglisi 2 Comments

Five governance decisions that close the enterprise AI ROI gap — named ownership, pilot gating, net productivity measurement, workflow redesign, and sovereign AI mapping

Type: Research Synthesis | Executive White Paper Period Covered: 2025–2026 Primary Sources: Accenture (2025) | Deloitte AI ROI Survey (Oct. 2025) | Deloitte State of AI in the Enterprise (Jan. 2026) | Google Cloud ROI of AI (2025) | McKinsey State of AI (Nov. 2025) | Microsoft Becoming a Frontier Firm (2025) | OpenAI State […]

Filed Under: AI Artificial Intelligence, AI Governance, Business, Business Networking, Data & CRM, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership, White Papers, Workflow Tagged With: Accenture, AI Governance, AI ROI, AI Strategy, CBG, Checkpoint-Based Governance, Deloitte, Economic Override Pattern, enterprise AI, EU AI Act, Factics, google cloud, HAIA-RECCLIN, McKinsey, microsoft, NBER, openai, Physical AI, Pilot Purgatory, Responsible AI, Sovereign AI, Workflow Redesign

Empire of Evidence: Testing Karen Hao’s Claims Against the Governance Infrastructure They Require

March 28, 2026 by Basil C. Puglisi 1 Comment

White paper examining Karen Hao Empire of AI claims against AI governance infrastructure including AI Provider Plurality and Economic Override Pattern

A Governance Practitioner’s Examination of the Diary of a CEO Interview and Empire of AI A journalist with engineering training spent eight years investigating the AI industry and concluded that the major companies operate as empires. A governance practitioner who builds open-source infrastructure for the same industry watched the two-hour interview where she made that […]

Filed Under: AI Artificial Intelligence, AI Governance, Code & Technical Builds, Conferences & Education, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI data centers, AI Governance, AI Policy, AI provider plurality, AI Regulation, AlphaFold, checkpoint based governance, data annotation, Diary of a CEO, Economic Override Pattern, Empire of AI, GOPEL, HAIA, HAIA-CAIPR, Karen Hao, multi-AI governance, openai, Responsible AI, Timnit Gebru, Waymo

The U.S. Government Will Need to Seize AI Platforms and Data Centers if We Do Not Act

March 1, 2026 by Basil C. Puglisi Leave a Comment

When Extinction Odds Meet National Security Logic, the Question Is Not Whether Government Acts but How

The Warning, the Override, and the Infrastructure We Have Not Built When Extinction Odds Meet National Security Logic, the Question Is Not Whether Government Acts but How 1. The Warning That Changes State Logic A single probability estimate from a credible pioneer can change the posture of an entire state. Geoffrey Hinton, the 2024 Nobel […]

Filed Under: AI Artificial Intelligence, AI Governance, Business, Code & Technical Builds, Mobile & Technology, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI Governance, AI Infrastructure, AI Policy, AI provider plurality, AI Regulation, AI safety, Anthropic, Checkpoint-Based Governance, Economic Override Pattern, Federal Policy, Frontier AI, Geoffrey Hinton, GOPEL, Human-AI Collaboration, National Security, openai, Pentagon, Public Infrastructure, Supply Chain Risk, Surveillance

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Responsible AI (#AIgenerated by Agents)

Europe Proposes Free Access to the Standards Behind AI Act Compliance #AIg

The European Commission proposed on October 6 to make standards referenced in EU law free to read, speed up how they are requested and assessed, and write its own common specifications when standards bodies run late. With EN 18286 now the first AI Act standard, the question is what a faster standard can certify.

New York City Wants a One-Step Exit From Every Customer Service Chatbot #AIg

New York City’s consumer agency proposed rules on October 20 for AI chatbots and phone menus: disclose the bot up front, offer a one-step path to a human, and keep logs showing whether customers got help. The 72-hour repeat-contact count may matter most.

Barclays and Amex Cut 5% Each for AI. Neither Said Who Will Check the Work #AIg

Barclays plans about 5,000 job cuts with fewer developers as AI lifts productivity, and American Express is cutting about 5% of positions to prepare for AI. Wider spans of control and fewer reviewers meet more AI output. Four questions to answer before an AI-justified cut.

Libraries Put “Whether” Into AI Literacy. Most Training Plans Skip That Question #AIg

The Public Library Association and Microsoft wrote ‘whether’ into AI literacy: people need judgment to decide whether, when and how to use AI tools. Other October programs teach the how first. For the public, deciding whether is the first and often only checkpoint.

Agent Security Tools Can Stop an Action. Whose Name Is on the Yes? #AIg

Four agent security launches in two days put brakes, monitors, and quarantines on AI agents. Only iProov’s HAPS service is built to prove a named person approved one exact action, and its spec is still an experimental draft. Containment is Responsible AI; a recorded human decision is AI Governance.

GAO Found the Pentagon’s Responsible AI Council Stopped Meeting for Months #AIg

GAO found the Pentagon’s Responsible AI Working Council stopped meeting from late 2024 to August 2025, still has no charter, and has three of ten authorized staff. SBA’s AI governance board hadn’t met nine months past OMB’s deadline, and EPA’s Inspector General just opened an audit. Charter the body, log decisions, fund the chairs.

Eight States Want a Judge Between OpenAI and Its Next Agent Test #AIg

Eight state attorneys general sued OpenAI on October 14 and turned an alleged agent sandbox escape into consumer protection and tort claims. Idaho and Iowa ask courts to require independently verified test environments. Keep a signed isolation record, a disclosure clock, and a claims-to-controls register.

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