Friday, February 20, 2026

The Digital Reboot of Despotism: Neoreaction as Neo-Fascism

 


The Digital Reboot of Despotism: Neoreaction as Neo-Fascism

The Dark Enlightenment, or neoreaction (NRx), presents itself as a sophisticated, forward-looking philosophy tailored for the silicon age. By utilizing the language of software engineering—calling for "hard resets," "reboots," and "functionalist" governance—it attempts to distance itself from the blood-soaked imagery of 20th-century fascism. However, beneath this veneer of "techno-efficiency," the movement is fundamentally a modern rebranding of neo-fascism. In the real world, the NRx vision of competing "gov-corps" does not lead to a peaceful market of governance; it leads directly to the corporate-feudal dystopias envisioned by last century’s most prophetic novelists.

The Neo-Fascist Core: Rebranding Hierarchy

The most significant overlap between the Dark Enlightenment and fascism is their shared rejection of Enlightenment values: specifically democracy, equality, and the administrative state (which neoreactionaries disparage as the "Cathedral").

Classical fascism sought to dismantle democracy to achieve national rebirth through a single, organic state. Neoreaction seeks the same end but swaps the "National Myth" for "Corporate Profitability." Both ideologies rely on a strict, anti-egalitarian hierarchy. Where fascism utilized scientific racism to justify its tiers of humanity, neoreaction uses "Human Biodiversity" (HBD) to argue that social inequality is a biological fact that must be "hard-coded" into governance. By framing discrimination as "data-driven" rather than purely hateful, NRx attempts to make the core tenets of fascism palatable to a modern, technocratic elite.

The Dystopian Reality: From Citizens to Assets

If the neoreactionary vision of a "Patchwork" of corporate city-states were realized, the "ground level" experience would be indistinguishable from the works of Aldous Huxley or Philip K. Dick.

In these dystopian novels, the individual is no longer a citizen with rights, but an asset or a consumer. Neoreactionary theorists like Curtis Yarvin and Nick Land argue that the only relevant right is "Free Exit"—the ability to leave a state if its services are poor. However, in a world where every inch of territory is owned by a sovereign corporation, "exit" becomes a myth. Much like the company towns of the 19th century or the megacorporations of Neuromancer, the state would own your digital identity, your medical data, and your employment. If you are deemed "low-utility" or "unproductive," you would not simply lose a vote; you would lose your right to exist within the infrastructure of the state.  

Corporate War vs. Democratic Law

Neoreactionaries argue that corporate states would be more peaceful than democratic nations because war is "inefficient." This logic ignores the history of monopolistic capitalism.

In a world of competing "gov-corps" with no international law, the natural tendency would be toward hostile takeovers. A corporate state with superior weaponry or AI would not negotiate; it would "acquire" the assets of its neighbors through force. This creates a cycle of industrial-scale violence that mirrors the "perpetual war" of 1984, but managed by algorithms and autonomous drone swarms rather than propaganda posters.

The Natural End State: The Global Monopoly

While the "Patchwork" model promises a diversity of competing states, the inherent logic of accelerationism and pure capitalism dictates a far more singular conclusion. In any market devoid of regulatory "brakes," competition inevitably gives way to consolidation. Just as tech industries consolidate into a handful of dominant players, the most technologically advanced neoreactionary city-state would eventually achieve a "winner-take-all" victory.

The terminal point of the Dark Enlightenment is not a thousand small flowers blooming, but a single, global neo-fascist government—a monopoly of force that has absorbed all competitors. In this end state, the right to "exit" vanishes entirely because there is nowhere left to go. The world becomes a singular, planet-wide corporation where the National CEO wields total, algorithmic control over the human species. This is the ultimate realization of the neo-fascist dream: a global hierarchy that is geographically inescapable, biologically hard-coded, and technologically absolute.

Conclusion: The Illusion of Progress

The Dark Enlightenment is not a new path forward; it is a retreat into an older, darker form of social organization, updated with biometric scanning and AI-driven surveillance. It is a "tech-bro" friendly fascism that replaces the dictator’s uniform with a CEO’s suit.

By viewing society as a machine to be optimized rather than a community to be nurtured, the movement invites the very dystopias that 20th-century literature warned us about. A world where the state is a corporation is a world where the human soul is merely a line item—a reality that looks less like a "reboot" of civilization and more like the end of human agency altogether.

Friday, February 6, 2026

Amazon’s New Trade-Off: Fewer Desks, More Data Centers

 


Amazon’s New Trade-Off: Fewer Desks, More Data Centers

On January 28, Amazon told employees it would cut about 16,000 corporate roles worldwide—its second major white-collar reduction in four months. (The Guardian) A week earlier, the company had been touting accelerating growth in its cloud division, Amazon Web Services. Then, just days later, Amazon disclosed that it expects to spend roughly $200 billion on capital expenditures in 2026—an eye-popping expansion of the physical infrastructure needed to power an AI-first era. (Financial Times)

Taken together, the moves trace a pattern that is spreading across Big Tech: a shift in corporate priorities from hiring (and keeping) people to buying compute—chips, power, and concrete—at unprecedented scale.

The company line, and the numbers underneath it

Amazon’s CEO, Andy Jassy, has framed the layoffs as a streamlining—an effort to remove layers, reduce bureaucracy, and make Amazon operate more like “the world’s largest startup.” That narrative resonates inside a company famous for process, metrics, and a culture that can calcify as it grows.

But the timing matters. In late 2025 and early 2026, Amazon wasn’t announcing cuts amid collapsing revenue. It was signaling momentum—especially at AWS—while simultaneously committing to a surge of spending on AI infrastructure that startled investors and helped push Amazon’s shares down sharply after its latest earnings release. (Financial Times)

There is a straightforward explanation for why a profitable company would tighten payroll while widening the spigot for machines: the AI race demands capital on a scale that compresses everything else.

Amazon’s own disclosures show the pressure point clearly. In its Q3 2025 results, Amazon reported that trailing 12-month free cash flow fell to $14.8 billion, down from $47.7 billion a year earlier—driven “primarily” by a large increase in purchases of property and equipment. (Amazon) In other words, Amazon was generating cash, but spending even faster on the stuff that turns electricity into model training.

The infrastructure binge

AI is not just software. It is real estate, transmission lines, substations, and supply chains for specialized chips. And Amazon has been racing to build.

On its Q3 2025 release, Amazon highlighted that AWS had added 3.8 gigawatts of power capacity in the prior 12 months, which it said was more than any other cloud provider. (Amazon) (That is the kind of figure that sounds abstract until you remember it has to be negotiated, permitted, built, and fed by a power grid that is already straining in parts of the country.)

Amazon also promoted Project Rainier, an AWS AI compute cluster “now in use” that the company says includes nearly half a million Trainium2 chips, with Anthropic running workloads on it. (Amazon News) This is Amazon’s bid to secure leverage in a world where Nvidia’s GPUs have become the default currency of AI progress—and where access to supply can determine which products ship, and when.

Then came the bigger revelation: the scale of next year’s buildout. Amazon’s projected $200 billion capex plan for 2026—reported widely in financial press—would represent a major step up from 2025 levels and places Amazon at the front edge of a spending wave sweeping the largest “hyperscalers.” (Financial Times)

This spending is not happening in a vacuum. Analysts and outlets tracking the sector describe an arms race dynamic: to win the next decade of enterprise computing, the major cloud platforms are pouring money into capacity now, even if the returns are lumpy and delayed. (Financial Times)

Debt gets a starring role again

When spending ramps this quickly, even giants look for financing flexibility.

In November 2025, Reuters reported Amazon was planning to raise about $12 billion in a U.S. bond sale—its first such U.S. dollar issuance in roughly three years—amid a broader trend of tech companies tapping debt markets to fund AI and cloud expansion. (Reuters) Amazon did not disclose the exact size in its filing at the time, but the reported intent underscored what the free-cash-flow chart already suggested: the buildout is large enough to change financing behavior.

This is part of why “the layoffs are only about culture” is an incomplete answer. Organizations do cut layers because they want to move faster. They also cut costs because, in an environment of huge capital commitments, maintaining flexibility becomes a strategic necessity.

Jassy’s earlier warning—now colliding with events

In June 2025, Jassy published a note to employees stating that as Amazon rolls out more generative AI and agents, “we will need fewer people doing some of the jobs that are being done today,” and he expected this would reduce Amazon’s total corporate workforce over the next few years. (Amazon News)

That statement sits awkwardly beside later efforts to separate headcount reductions from AI. It also clarifies why employees interpret the cuts through an AI lens even when the company emphasizes org charts and management ratios.

And yet, the most revealing part may be that the story isn’t only “AI replaces workers.” The more immediate mechanism can be blunter: AI requires so much capital that companies shrink payroll simply to fund the infrastructure that keeps them competitive.

What’s verified—and what’s commentary

The transcript you provided argues a specific thesis: that Amazon’s layoffs function as a direct conversion of salaries into GPUs. Some of its figures and framing appear to come from an opinion newsletter rather than a primary financial document.

Here’s what the reliable public record supports:

  • Amazon cut about 16,000 corporate jobs in January 2026 after an earlier wave of cuts in October 2025, totaling roughly 30,000 in that period, as reported by multiple outlets. (GeekWire)

  • Amazon’s trailing 12-month free cash flow fell sharply by late 2025, largely due to increased property-and-equipment purchases. (Amazon)

  • Amazon has publicly described massive AI infrastructure projects (like Project Rainier) and rapid additions of power capacity. (Amazon News)

  • Amazon planned a significant bond raise amid the AI infrastructure cycle. (Reuters)

  • Amazon projected $200 billion of capex for 2026, triggering investor anxiety about near-term profitability. (Financial Times)

What I did not verify from high-quality primary sources in this run is the transcript’s specific claim that Amazon’s quarterly free cash flow was negative $4.8 billion at a particular moment. Amazon’s published results emphasize trailing-twelve-month figures in the cited releases, and the “-$4.8B quarterly FCF” number appears in commentary-style sources rather than Amazon’s investor materials in the items retrieved here. (Amazon)

The broader bet—and the human consequences

If you zoom out, Amazon’s situation starts to look less like an anomaly and more like a template.

The cloud giants are building the industrial substrate of AI: enormous data centers and custom chips that require years of lead time and reliable access to power. Whoever builds early can sell capacity later—often at premium margins. Whoever falls behind risks becoming a commodity provider or losing the most lucrative workloads.

But there is a human consequence to financing an industrial expansion inside a company that, until recently, could grow headcount lavishly while still printing cash. When free cash flow compresses and capex expectations expand, payroll becomes one of the few levers management can pull quickly. Infrastructure takes years; cost cuts happen in weeks.

Amazon’s choices also land in a labor market still absorbing the post-pandemic correction in tech. The company’s layoffs are white-collar—product managers, engineers, corporate staff—precisely the cohort that expected cloud growth and AI enthusiasm to buoy demand for their skills. Instead, the new scarcity is not talent but compute.

If there is an optimistic reading, it’s that this infrastructure will eventually enable new products, new businesses, and new categories of work—much as previous industrial buildouts did. But optimism doesn’t change the near-term math for employees caught between a company’s desire to move faster and its need to spend more.

For now, Amazon’s message—explicitly or not—is that its next era will be built less with headcount than with wattage.


Useful official links

Amazon Investor Relations (press releases, earnings):
https://ir.aboutamazon.com/

Amazon Company News (including CEO notes):
https://www.aboutamazon.com/

Andy Jassy’s June 2025 note on generative AI (public post):
https://www.aboutamazon.com/news/company-news/amazon-ceo-andy-jassy-on-generative-ai

Tuesday, February 3, 2026

The Empathy Divide

 

The Empathy Divide

In recent years, American politics has taken on the texture of a clinical argument. The metaphors are no longer merely ideological—left versus right, liberty versus equality—but diagnostic. We speak of pathologies, disorders, deficits. One of the most provocative of these frames appears in Conservatism: America’s Personality Disorder, a book whose title courts outrage even as it insists it is doing something more austere: following the evidence.

At first glance, the claim sounds like partisan psychologizing dressed up as science. But when stripped of rhetoric, the book rests on a quieter, more unsettling proposition—one increasingly supported by peer-reviewed research across psychology, neuroscience, and political science. The deepest fault line in American politics may not be policy or class or geography, but empathy itself: who feels it, toward whom, and under what conditions.

The question is not whether conservatives are capable of empathy. They are. The question is how empathy is distributed, constrained, and overridden—and what happens to a democracy when large segments of the population experience moral concern primarily within tight tribal boundaries.


The Brain’s Moral Geography

Empathy is not an abstraction. It has a neural signature. When people witness another person in pain, a network of brain regions reliably activates, including the anterior insula, anterior cingulate cortex, and the temporal-parietal junction (TPJ), an area crucial for perspective-taking—what psychologists call cognitive empathy.

A growing body of neuroimaging research suggests that political ideology correlates with how strongly these regions respond. In one magnetoencephalography (MEG) study published in Social Cognitive and Affective Neuroscience, participants watched others suffer while researchers measured millisecond-by-millisecond brain activity. Those with liberal political orientations showed significantly stronger activation in the TPJ than their conservative counterparts, indicating a more robust neural response associated with imagining another person’s inner experience.

Other studies converge on a complementary pattern. During tasks involving risk, threat, or social judgment, conservatives tend to show greater activation in the amygdala—the brain’s fear and threat-detection hub—while liberals show more activity in the left insula, a region associated with emotional awareness and social feeling. The contrast is not about intelligence or moral worth; it is about which signals dominate when values collide. Fear versus care. Threat versus suffering.

These are population-level findings, not destiny. But they matter because politics is, at scale, a system of aggregated instincts.


Hierarchy, Callousness, and the Psychology of Power

The neurological story aligns with decades of work in personality psychology, particularly research on Social Dominance Orientation (SDO)—a trait describing how comfortable someone is with hierarchy and inequality. High-SDO individuals tend to view the world as a competitive arena where some groups are naturally entitled to more than others.

Across cultures and methodologies, high SDO consistently correlates with lower empathy, reduced altruism, and greater tolerance for suffering—especially when that suffering falls on out-groups. In experimental settings, people high in SDO are less disturbed by images of harm inflicted on marginalized populations and more likely to endorse punitive or exclusionary policies.

Recent political data sharpen the picture. A 2025 study summarized by PsyPost found that favorable views of Donald Trump were associated with higher scores on measures of psychopathy, manipulativeness, narcissism, and callousness, alongside significantly lower levels of affective empathy. The study did not claim that Trump supporters are mentally ill. It demonstrated that certain personality traits—low concern for others’ pain, high tolerance for dominance—predict attraction to authoritarian leadership styles.

That attraction is not mysterious. Authoritarian figures promise order, hierarchy, and moral clarity in a world perceived as threatening. Empathy, by contrast, complicates judgment. It demands attention to nuance, context, and shared vulnerability. For people oriented toward dominance, empathy can feel less like a virtue than a liability.


Moral Foundations and the Narrowing of Concern

Jonathan Haidt’s Moral Foundations Theory helps explain why this divide feels less like disagreement and more like incomprehension. Liberals and conservatives draw from different moral palettes.

Liberals prioritize the Care/Harm foundation—sensitivity to suffering—above almost all else. Conservatives value Care too, but place it alongside “binding” foundations: Loyalty, Authority, and Purity. These values stabilize groups, preserve traditions, and enforce norms, but they also condition empathy. Care is extended generously within the group, cautiously—or not at all—beyond it.

The result is not an absence of empathy but a narrower moral circle. Police officers, soldiers, family members, fellow citizens may evoke deep compassion; immigrants, prisoners, political opponents often do not. When harm befalls outsiders, it is more easily reframed as deserved, inevitable, or morally instructive.

This pattern appears repeatedly in policy research. During the COVID-19 pandemic, political conservatism predicted lower adherence to protective behaviors such as masking and social distancing, a relationship partially mediated by lower dispositional empathy. In immigration debates, lower empathy predicts support for harsher enforcement and reduced concern for humanitarian consequences. In criminal justice, it predicts tolerance for extreme punishment.

Empathy does not dictate policy, but it constrains the range of policies one finds morally imaginable.


When Metaphor Meets Measurement

The phrase “personality disorder,” as used in Conservatism: America’s Personality Disorder, is deliberately provocative—and clinically imprecise. Conservatism is not a diagnosis. No psychiatric manual defines an ideology as pathology. But metaphors persist when they illuminate something real.

Clinical psychology offers a relevant parallel. Cluster B personality disorders—antisocial, narcissistic, borderline—share a core feature: impaired empathy. Individuals with these traits can function, succeed, even dominate institutions, but their decision-making systematically discounts others’ inner lives. Harm becomes easier. Justification becomes reflexive.

The book argues that when such traits become culturally rewarded—amplified by media ecosystems, political incentives, and economic hierarchies—they scale. What looks like individual pathology becomes structural behavior. Cruelty is reframed as strength. Indifference as realism.

This argument is not based on intuition alone. It is grounded in peer-reviewed neuroscience, personality research, and political psychology, and synthesized through lived observation by the authors, including correctional and clinical settings . The evidence does not indict every conservative. It indicts a pattern: the systematic de-prioritization of empathy when it conflicts with hierarchy, authority, or identity.


The Two-Way Mirror

There is an uncomfortable symmetry here. Studies also show that liberals often exhibit less empathy toward conservatives than conservatives show toward liberals. Ideological contempt runs both directions. Moral certainty can harden into moral blindness on any side.

But the asymmetry lies in consequences. A deficit of empathy among those advocating expanded rights produces very different outcomes than the same deficit among those wielding state power to punish, exclude, or withdraw support. When empathy narrows among those designing policy, the costs are borne by the vulnerable.

Democracies depend on a shared baseline of concern—an assumption that other people’s suffering matters even when they are strangers, even when they vote differently, even when they are inconvenient. When that baseline erodes, politics becomes a zero-sum contest of dominance. The language of disorder enters not as insult, but as warning.

Empathy, it turns out, is not a soft virtue. It is civic infrastructure. And like any infrastructure, when it decays, the collapse is not metaphorical.


Monday, December 8, 2025

The Algorithmic Eye: When Public Safety Becomes Permanent Surveillance


 

👁️ The Algorithmic Eye: When Public Safety Becomes Permanent Surveillance


By A. Piratemonk

The modern American street corner has acquired a new kind of silent sentinel. Discreetly mounted on utility poles, often near high-traffic intersections, a device no larger than a shoebox is changing the fundamental nature of privacy in public life. This is the Automated License Plate Reader (ALPR) technology, often sold by companies like Flock Safety. While pitched to municipalities as a simple, effective tool for recovering stolen vehicles and fighting serious crime, its true function is the methodical construction of a massive, searchable database detailing the everyday movements of every citizen.

This quiet revolution in policing deserves a deeper, more critical examination than a brief City Council hearing. It is not just about a camera; it is about the normalization of mass surveillance, where the bedrock American principle of innocent until proven guilty is subtly eroded by the technological capability to treat everyone as a suspect in waiting.


The All-Seeing Lens: Data Beyond the Plate

The primary justification for deploying ALPRs is that they are only used to flag vehicles associated with a crime. But the reality is far more expansive and troubling.

ALPRs capture far more than just a license plate number. The cameras capture an entire, high-resolution image of the vehicle, which is then analyzed to record the vehicle's make, model, color, and distinguishing features like dents, or a ladder on the roof. They can even pick up logos on passengers’ shirts. Crucially, this rich, identifying data is captured regardless of whether the plate is on a "hot list," and then stored in a proprietary database.

Every single car that passes one of these cameras generates a timestamped, geo-located record of its passage. This constitutes a vast, continuous timeline of movement, allowing law enforcement to retrospectively reconstruct a person’s every journey—from a commute to a doctor’s appointment, or from a place of worship to a protest. Privacy advocates argue that this indiscriminate collection and aggregation of data over time creates a "mosaic" of an individual's life that should require a warrant under the Fourth Amendment.


A National Network and the Architecture of Abuse

The threat to residents is amplified by the technology's architecture. The data gathered locally is often funneled into a national network accessible to thousands of other law enforcement agencies across the country. This means a record captured in one small town can be instantly searched by a department thousands of miles away, regardless of local privacy protections.

This networked system has led to documented cases of mission creep and data abuse that highlight the inherent risks:

  • Enforcement of Out-of-State Laws: The data has been reportedly used to track and prosecute women who left their states for abortions, transforming local police into passive enforcers of highly restrictive laws outside their jurisdiction. This has prompted the ACLU to warn municipal leaders that even selected restrictive settings may be bypassed by data sharing agreements that give companies perpetual rights to the data.

  • Federal Overreach: Federal agencies, including Customs and Border Protection (CBP) and Homeland Security Investigations (HSI), have been found accessing this data, often without clear, explicit authorization, raising alarm bells over collaboration in areas like immigration enforcement. This is why cities like Austin and Sedona have canceled their contracts after discovering federal officials were accessing their cameras.

  • Warrantless Search Concerns: The Supreme Court has not yet issued a definitive ruling on ALPRs, but lawsuits argue that the practice of searching these massive databases without individualized suspicion and a warrant violates Fourth Amendment protections. While some courts have allowed the use of fixed ALPR evidence, others have cautioned that pervasive ALPR systems could indeed constitute a search for constitutional purposes. A lawsuit against San Jose, California, challenges the city's practice of retaining millions of movement records for a year and permitting officers to search them without a warrant.


The Hidden Cost to Freedom

While proponents point to the technology's role in recovering stolen property, activists and civil liberties organizations argue that this marginal benefit does not justify the immense cost to privacy. The constant, widespread, non-consensual surveillance of every driver creates a chilling effect on the democratic right to move freely and anonymously. As one resident expressed, the proliferation of these cameras gives the feeling of being on a "fast pass to 1984".

When technology eliminates the anonymity that citizens once had in public spaces, the law must adapt. Municipalities face a choice: either endorse a powerful, networked system of mass surveillance whose abuses are difficult to detect and prevent, or stand firm on the principle that freedom requires the government to have a reason to watch someone, not the ability to watch everyone by default. Rejecting ALPR contracts and removing these "algorithmic eyes" is the necessary step to preserve civil liberties in the digital age.