AI Executive Orders: Thought Control by Procurement

On July 23rd, the Trump administration issued a series of executive orders on artificial intelligence that amount to a sweeping federal power grab. These orders use the weight of federal procurement to enforce ideological conformity, gut environmental oversight, and override state authority—all under the guise of promoting “neutral” AI.

📄 Executive Order on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence

7/31 Adding Global AI Governance Action Plan
https://www.mfa.gov.cn/eng/xw/zyxw/202507/t20250729_11679232.html

The Bottom Line

These executive orders don’t just guide AI policy—they enforce federal ideology. Under the banner of “bias prevention,” they require companies to strip references to systemic racism, transgender identity, and other so-called “manipulated” concepts to remain eligible for federal contracts. Simultaneously, they sideline copyright protections and environmental safeguards to accelerate AI infrastructure development.

1. Copyright: Ignored and Undermined

The orders:

  • Ignore fair use and copyright liability concerns.

  • Encourage AI exports that risk violating international IP norms.

  • Impose “truthfulness” mandates that may require AI to regurgitate copyrighted content or censor factual nuance.

Bottom line: Copyright and fair use are sacrificed for ideological conformity. This is a false construct as we have seen that China has over and over released high value low cost models that destroys the premise.   It like they are not even paying attention to market conditions.

2. Environment: Deregulation at Scale

The administration calls climate protections a bureaucratic “burden”—and acts accordingly:

  • Revokes Biden-era DEI and climate rules for federal AI infrastructure projects.

  • Fast-tracks massive data centers (100+ MW) with minimal environmental review.

  • Prioritizes fossil fuels over renewables.

  • Creates categorical exclusions to bypass impact assessments.

Translation: Climate concerns are now obstacles to be removed— environment be dammed –

3. States’ Rights: Hollowed Out

Despite claiming to respect the private market, the federal government is:

  • Seizing federal land for AI data centers.

  • Imposing permitting that overrides state environmental laws.

  • Enforcing federal procurement standards that effectively dictate terms across the AI industry.

  • Preempting state policies through export controls and interstate standards.

Result: States may set their own rules, but the real market now plays by Washington’s.

4. The Censorship Regime

The most chilling shift: forced ideological compliance through procurement contracts.

Banned from AI models:

  • Transgender identity (“transgenderism”)

  • Systemic racism

  • Unconscious bias

  • Intersectionality

  • Critical race theory

Mechanism:

  • Companies must purge these concepts from models to be eligible for federal contracts.

  • Violators face “decommissioning fees” and loss of future eligibility.

File under economic coercion—a backdoor censorship regime.

5. Constitutional Red Lines

These orders cross core constitutional boundaries:

  • Viewpoint discrimination: Government cannot declare transgender identity or systemic racism as “ideological bias.”

  • Compelled speech: Forcing AI systems to align with a specific ideology violates First Amendment protections.

  • Contract-based censorship: Using federal money to dictate private speech is still a form of government control.

Amounts to federally enforced erasure.

6. Real-World Impacts

Here’s what these policies look like in practice:

  • Federal workers will use AI tools that deny transgender identity exists.

  • Contractors must adopt sanitized, government-approved language.

  • Academic research on racism or gender risks blacklisting.

  • A split AI market emerges: one version for the government, another for the rest of society.

Conclusion: Procurement as Thought Police

These executive orders cloak authoritarian overreach in the language of “trustworthy AI.” In reality, they:

  • Undermine copyright and environmental protections.Override state authority.

  • Use contracts to compel ideological conformity.

  • Penalize acknowledgment of race, gender, and inequality.

Thought control through government contracts. Orwell, meet procurement policy.

Mediaeater Digest

Fictional K-pop bands beat BTS and Blackpink in US charts
https://www.bbc.com/news/articles/clyl1zyv1y2o

AI Company Anthropic Defends Against (Some) Copyright Claims with Fair Use Doctrine
https://www.findlaw.com/legalblogs/federal-courts/ai-company-anthropic-defends-against-some-copyright-claims-with-fair-use-doctrine/

Internet Society – Pulse on Internet Shutdowns
https://pulse.internetsociety.org/en/shutdowns/

The Force-Feeding of AI on an Unwilling Public – The Honest Broker
https://www.honest-broker.com/p/the-force-feeding-of-ai-on-an-unwilling

The History of Electronic Music in 476 Tracks – Open Culture
https://www.openculture.com/2025/06/the-history-of-electronic-music-in-476-tracks.html

A Non-Anthropomorphized View of LLMs – Addxorrol Blog
https://addxorrol.blogspot.com/2025/07/a-non-anthropomorphized-view-of-llms.html

I’m Losing All Trust in the AI Industry – The Algorithmic Bridge
https://www.thealgorithmicbridge.com/p/im-losing-all-trust-in-the-ai-industry

Generative AI Is a Hammer, and No One Knows What Is and Isn’t a Nail – Colin Fraser on Medium
https://medium.com/@colin.fraser/generative-ai-is-a-hammer-and-no-one-knows-what-is-and-isnt-a-nail-4c7f3f0911aa

About – Momentarily Online
https://momentarily.online/about

Google Hired Gig Economy Workers to Train Its Self-Driving AI – The Intercept
https://theintercept.com/2019/02/04/google-ai-project-maven-figure-eight/

Claude Ran a Small Shop in Our Office Lunchroom. Here’s How It Went – Anthropic on X
https://x.com/AnthropicAI/status/1938630294807957804

WNYU New Afternoon Show Chart for June 2025

Based in published playlists – this is an unofficial, unapproved and incomplete, but the best you are going to get chart  ** (ed : note not all DJ’s on the NAS publish their playlists)

 

Humans Are Having Problems With Humans Being Humans

In an age of technological complexity, global interdependence, and ideological polarization, humanity seems increasingly at odds with its own nature. The phrase “humans are having problems with humans being humans” captures a paradox that at its core lies the tension between the deeply rooted behavioral patterns shaped by evolution and the rapidly changing sociocultural environments we now live in.

Anthropology teaches us that human behavior is shaped by a combination of biological predispositions and cultural frameworks. For eons, humans survived in small, kin-based groups where cooperation, in-group loyalty, and face-to-face communication were vital.

Evolutionary legacies—such as tribalism, reciprocity, and even suspicion of the “other”—were adaptive in prehistoric contexts but often clash with the demands of modern, pluralistic societies. (Becasue internet), globalization, urbanization, and digital communication have expanded our social worlds beyond what our cognitive wiring can easily accommodate.  The result, many of the instincts that once ensured group survival now manifest as prejudice, xenophobia, and hyper-polarization.

Simultaneously, culture evolves faster than biology. (Just like technology and legislation and regulation) What we consider moral, rational, or acceptable shifts from one generation to the next, and from one culture to another. Yet this fluidity in Overton window is often perceived as instability or threat. They are different oh my!, oh my! 

Social media amplifies these tensions, exposing people to a flood of norms, identities, and values that may conflict with their own. The result is a widespread anxiety—both individual and collective—about what it means to be human in a world of accelerating change.

Add on top of all of this the emphasis on individualism and personal freedom can conflict with communal values that anthropologists observe in many traditional societies. The expectation that people should self-actualize, optimize, and constantly perform can feel dehumanizing, leading to alienation and resentment.

The Irony, it is often our efforts to rise above our basic human tendencies—toward bias, emotional reactivity, or mortality—that create friction and discontent.

Anthropology reminds us that to understand the “problem” of humans being humans, we must first accept that many behaviors we now critique—irrationality, conflict, identity-seeking—are not aberrations but base parts of our species story. They require management, not denial. The key may not lie in suppressing human tendencies, but in cultivating social systems that channel them constructively, respecting both our shared nature and our cultural differences.

Humans are struggling not because something has gone wrong, but because being human has always been errr.. complicated. The challenge is to build societies that can create space for the full spectrum of human behavior—messy, emotional, irrational, yet capable of empathy, adaptation, and meaning-making.

WNYU May 2025 Top 10 Tracks

Started Compiling My Own Charts


For decades, WNYU’s New Afternoon Show (NAS) has been one of the best radio programs in the country. Unfortunately, it’s been years since they’ve released any charts, and the published playlists have become inconsistent.

—charts matter.

They help shape the conversation around music. They’re a tool for organizing what’s new and highlighting what deserves attention. This chart is my attempt to fill that gap. I’m posting it now so I can return in a year and see where these bands ended up. It’s disappointing that the station does not see the value in this. This is how we lose the zeitgeist, and fail to step into to it before it disappears.  I will try and do June at the EOM.

 

Boards of Canada – Dayvan Cowboy

 

Dayvan Cowboy (Odd Nosdam Remix) is a melancholic song by Boards of Canada with a tempo of 78 BPM. It can also be used double-time at 156 BPM. The track runs 9 minutes and 19 seconds long with a B key and a major mode.   Have always rocked this at 33 who knew you double it.  So good.

The Perfect Crime: When AI Completed Photography’s Murder of Reality

Jean Baudrillard died in 2007, just as Instagram was born. He never saw his theories about photography and simulation play out in real time, but he predicted our current nightmare with uncanny precision.

Baudrillard argued that photography didn’t just document reality—it gradually replaced it. Images stopped being copies and became the thing itself. By the time Marshall McLuhan’s “global village” materialized as social media, we were already living in what Baudrillard called hyperreality: a world where simulation precedes and shapes experience.

Instagram made this literal. People began experiencing life primarily to photograph it, visiting places to capture them, living for the image rather than the moment. McLuhan’s optimistic vision of media as “extensions of man” had reversed into what he warned about: amputations of direct experience.

Hito Steyerl fills in the missing pieces with her theory of the “poor image”—the low-resolution, endlessly circulated digital files that actually constitute our media environment. The material reality behind the abstractions: billions of “wretched screens” displaying degraded copies of copies, circulating through networks of digital exploitation. (we live here now)

Steyerl’s poor images at least retained some connection to reality—they were degraded copies of something that once existed.

AI has eliminated even that thin thread.

We’ve moved beyond poor images to synthetic images that never had any referent at all. AI doesn’t just simulate reality; it replaces the need for reality entirely. Baudrillard’s “perfect crime”—the murder of reality—is now complete. We’ve achieved what he could only theorize: pure simulation with no original.

Every phone is now a reality production facility. McLuhan’s global village has become a training dataset. Human visual culture—every photograph, painting, and image ever created—is now raw material for algorithms that generate infinite variations of synthetic reality.

The question is no longer whether we can distinguish real from fake. The question is whether the distinction matters anymore when synthetic reality is more appealing, more perfect, and infinitely customizable than the messy, uncontrollable world it’s replacing.

We’re living through the convergence of three media theorists’ darkest predictions, amplified by a technology that exceeds even their most pessimistic scenarios. The map hasn’t just preceded the territory—it’s consumed it entirely.

I came across this matrix – that encapsulates the same shift in video – in this post- AI Video Platforms Will Make TikTok Look Tame  

It lays out what is essentially the economics of synthetic attention in human vs AI video platforms. This frames really well what the shift taking place likely looks like.  The scale, the targeting, the personalization. The inference all play out neatly.

we’re witnessing the complete automation of McLuhan’s “global village,” the industrialization of Baudrillard’s simulation, and the mechanization of Steyerl’s poor image circulation.

 

 

 

The Completion of Media Theory’s Dark Arc:

McLuhan’s Reversal Realized: Media as “extension of man” has fully reversed into replacement of man. The human creative process itself is being automated out of existence.

Baudrillard’s Simulation Goes Industrial: We’ve moved from individual acts of simulation to mass-produced hyperreality. AI platforms can generate infinite content with no human referent whatsoever.

Steyerl’s Poor Image Gets Infinite: The poor image’s power through circulation is now automated. Instead of degraded copies spreading virally, we have infinite synthetic originals optimized for algorithmic distribution.

 

The shift from “GUESSING what people like” to “PREDICTING what people like” is cannon – AI doesn’t just replace human creativity, it bypasses human unpredictability. We’re moving toward a perfectly closed loop where AI generates content optimized for AI algorithms, with humans reduced to passive consumption nodes.

 

 

You have to ask here.  If AI can predict and pre-satisfy our desires while generating indistinguishable synthetic culture at infinite scale, are we witnessing the end of human wanting, meaning-making, and creative agency itself? It was hard to even type that sentence  let alone imagine it coming into being, but we are authoring this future now. 

When content production costs collapse to near-zero but human attention remains absolutely finite, we enter a new form of capitalism where scarcity shifts from supply to demand-side control.

The hyper-scaler platforms that control attention allocation become the new monopolists. It’s not about who can make content anymore – it’s about who decides what gets seen. Google, Meta, TikTok, and emerging AI platforms become the gatekeepers of not just the zeitgeist our collective consciousness. ooopha

This creates several new power dynamics:

Attention as the Ultimate Commodity: In this emerging economy, human attention the most valuable resource. The platforms and companies that succeed aren’t necessarily those producing goods, but those capable of capturing, holding, and directing focus. Value is no longer tied strictly to material production, but to influence.  This is a new kind of value equation: Value = Attention × Time × Direction

In this model, the most powerful entities are those that not only attract audiences (attention) but keep them engaged (time) and guide that attention toward specific outcomes—whether that’s a purchase, a belief, or a behavior (direction). The economy of meaning itself now flows through these channels, controlled by those who master this formula.

Algorithmic Curation as Political Power: The algorithms that decide which synthetic content gets distributed essentially control reality construction. These aren’t neutral technical systems – they’re political mechanisms that shape what billions of people think, want, and believe.  (see graphic below)

The Paradox of Infinite Choice: Infinite content creates infinite paralysis. Curation becomes more valuable than creation. The power shifts to whoever can filter the infinite down to the consumable. 

New Forms of Artificial Scarcity  In a landscape of infinite content, scarcity doesn’t disappear—it gets manufactured. Platforms now create artificial artificial scarcity: limiting visibility through algorithmic gatekeeping, premium placement, and attention rationing. What should be abundant—access, visibility, reach—is instead made scarce by design.

The irony.  Algorithms flood us with content, then sell back the means to be seen. It’s not the absence of material, but the curation of absence that defines this new economy. Scarcity, once a function of supply, is now a feature of the interface.

Last question: In a world of infinite synthetic content competing for finite human attention, whoever controls the allocation algorithms controls reality itself (and the dopamine).  Media monopolies —- become — collective consciousness manipulation machines that move men to action.  Value = Attention × Time × Direction