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The number of people unaccounted for dropped this week but was stubbornly high as some searchers were losing hope of finding them.
THE NEW YORK TIMES MAGAZINE: The 7.20.25 Issue features Jeneen Interlandi on how Robert F. Kennedy Jr. is dismantling the F.D.A.; Anna Peele profiles Ari Aster, the director behind some of the 21st century’s most unsettling films; Devin Gordon on Mazi VS, a sports betting influencer who may not be what he seems; David Marchese interviews Mandy Patinkin and Kathryn Grody; and more.
Mazi VS has become a major influencer by flaunting his expensive lifestyle and his big-winning wagers. Other gamblers say he can’t be what he seems. By Devin Gordon
When my Instagram account was compromised, I didn’t know what to do. Luckily, others did. By Just Lunning
As the genre has boomed on cable, the incarcerated have found themselves watching more and more of it. By John J. Lennon
The cuts speak to President Trump’s grip on his party but also to the sweeping changes in the media.
Pam Bondi is set to ask a judge to release grand jury testimony. But President Trump’s request falls short of calls for all the files in Jeffrey Epstein’s case.
In today’s sports betting universe—where billion-dollar algorithms collide with basement-level psychology—risk has become religion. It is a seductive theater of dopamine and data, and nowhere is that spectacle more vividly embodied than in the persona of Mazi VS. Profiled in The New York Times Magazine in July 2025, Mazi—allegedly named Darnell Smith—didn’t just place bets. He curated a mythology: diamond chains, exotic cars, ten-leg parlays worth tens of thousands. The “Sports Betting King” wasn’t selling picks; he was selling the illusion of a reclaimed life.
But behind his designer façade lies a bigger story—one that exposes a nation of young men, displaced and disillusioned, grasping for control in an economy built not on probabilities, but on personas.
Mazi’s rise wasn’t just a fluke—it was the inevitable lovechild of two American obsessions: celebrity and gambling. Since the repeal of the Professional and Amateur Sports Protection Act (PASPA) in 2018, sports gambling has gone mainstream, now legal in 39 jurisdictions and growing faster than almost any entertainment sector. The American Gaming Association reported $149.9 billion wagered in 2024 alone.
In this new order, Mazi emerged as an archetype: part digital shaman, part Vegas prophet. His Instagram feed reads like a declaration of invincibility. For his 2.5 million followers, it isn’t about win-loss records—it’s about belonging to something exclusive. He doesn’t promise financial success; he promises masculine resurrection.
As influencer and actuarial bettor Ryan Noel observed, Mazi doesn’t just sell picks—he sells a coded fantasy of dominance, control, and unshakable self-belief. And for countless young men, that fantasy is not just appealing—it’s life-preserving.
Welcome to the tout economy, where gambling influencers promise the moon and never post the losses. Mazi’s claim of a 70% win rate would be statistically Herculean. Even elite professional handicappers hover around 55%—and they grind, quietly and obsessively, like actuaries of human folly.
Industry watchdogs, including the American Gaming Association, have flagged the lack of accountability among pick-sellers. A 2024 ethics report recommended mandatory transparency: clear disclosures, performance tracking, and consumer protections. But few touts comply. The image is what sells, and in the influencer age, curated wins matter more than actual truth.
Amanda Vance stands as one rare exception. A female capper with over half a million followers, she posts her losses with unflinching honesty. But as she knows all too well, in a marketplace addicted to illusion, transparency remains an anomaly.
If Mazi is the avatar of sports betting glamor, then the parlay bet is its beating heart. Multi-leg wagers with slim chances and massive payouts are engineered to elicit fantasy. And for young men aching for impact, they do.
Parlay betting now accounts for 30% of wagers, up from 17% in 2018. They’re fun, fast, and nearly impossible to win. Keith Whyte, executive director of the National Council on Problem Gambling (NCPG), warns that parlays and live betting formats trigger sharper dopamine spikes—creating cycles of compulsive behavior particularly prevalent among Gen Z men.
A 2025 study from the University of Chicago found that parlay and live betting formats elicit greater emotional volatility, impulsivity, and perceived entertainment value among males aged 21–25. These formats aren’t just risky—they’re addictive by design.
In 2023, Credit Karma reported that 28% of Gen Z male bettors had borrowed money to continue gambling. Parlay bets were most frequently cited in rising credit card debt and emergency loan requests. These aren’t merely wagers—they’re escape hatches.
Scratch the surface of America’s sports betting boom and you find something deeper: the cultural disorientation of young men.
Richard Reeves, in his landmark book Of Boys and Men, describes a generation slipping behind—educationally, emotionally, economically. Women now earn nearly 60% of college degrees. Male labor force participation is in long-term decline. Suicide is the leading cause of death among men under 35. The rise of single-parent households, now at 37%, has only sharpened the collapse. Boys raised without fathers are statistically more vulnerable to unemployment, addiction, and incarceration.
Professor Scott Galloway has sounded the alarm with characteristic bluntness: “No cohort has fallen further faster than young men.” He warns that this crisis isn’t just economic—it’s existential. Young men are four times more likely to die by suicide, three times more likely to suffer from addiction, and twelve times more likely to be incarcerated than their female peers.
Disconnection from purpose and diminished status leave many seeking alternate arenas for validation. In this context, sports betting offers a dangerous placebo. It promises status, autonomy, adrenaline—a sense of winning, even when there’s nothing left to win.
This displacement is increasingly visible in online male subcultures, where sports betting sits beside crypto trading and influencer hustle culture. Each promises mastery and escape; each delivers volatility and entrapment. Betting is not simply entertainment—it is becoming ritualized identity construction, especially among those who feel culturally erased.
The machinery that fuels Mazi’s illusion is not just psychological—it’s technological. Betting apps have evolved into hyper-engineered interfaces designed to mimic the addictiveness of social media platforms. Real-time odds boosts, push notifications, in-game betting prompts. Everything is frictionless.
The Mintel US Sports Betting Market Report confirms that young men dominate this ecosystem, preferring mobile-first, real-time formats tailored to keep them engaged—and spending. The North Carolina Journal of Law & Technology calls it “engineered addiction,” comparing betting apps to TikTok in their manipulation of attention, emotion, and behavior.
In this marketplace, boredom is monetized. Depression is gamified. And vulnerability is no longer a liability—it’s a business model.
Recent FTC consumer behavior surveys note that behavioral nudges in betting apps mimic the same reward reinforcement loops used in slot machines. Losses are reframed as near-wins. Personalized promotions respond to user emotion, time of day, and prior loss streaks.
Galloway warns that “sports betting is a dopamine IV drip for young men who are already in deficit.” He argues that constant stimulation rewires the brain’s reward system, making real-world achievement feel slow, unrewarding, and irrelevant.
The financial cost is staggering. The Credit Karma Gambling and Debt Report revealed that in states with legalized online betting, personal loan applications surged 27% within three years. Men aged 18–34 in low-income ZIP codes saw the sharpest declines in credit scores.
Meanwhile, most states invest little in recovery. An Urban Institute study found that over 80% of states spend less than $1 million annually on gambling addiction treatment—while collecting hundreds of millions in sportsbook taxes.
Some researchers have begun to describe this model as a “reverse welfare state,” where public revenue is extracted disproportionately from vulnerable populations without equitable reinvestment in care.
By 2030, the U.S. sports betting industry is projected to reach $187 billion, according to Grand View Research. But at what cost? As one analyst put it, “This isn’t gambling anymore. It’s commercialized chaos.”
Mazi VS doesn’t just sell picks—he sells reclamation. His persona weaponizes a narrative that many young men crave: that masculinity is a game, and he knows how to win.
This is part of a broader digital drift. From crypto evangelists to motivational “grindset” YouTubers, the internet offers a smorgasbord of male-centered identities steeped in risk, bravado, and defiance. The American College Health Association warns that men are disproportionately less likely to seek mental health support, often citing stigma and alienation. For many, the betting slip feels more empowering than therapy.
It’s a dangerous illusion. And Mazi—whether by design or accident—became its prophet.
He is also not alone. Dozens of similar figures—less flamboyant but equally influential—sell picks, promise systems, and curate opulence. They represent a growing cottage industry of digital masculinity coaches masquerading as analysts.
Galloway has called for a cultural reckoning: “The single point of failure when a young boy comes off the tracks is when he loses a male role model. If we want better men, we need to be better men.”
When Devin Gordon pressed Mazi on his records, earnings, and clientele, he deflected. Shortly after, he vanished. In May 2025, law enforcement arrested a man named Darnell Smith—allegedly Mazi VS—on 14 felony counts of identity fraud.
One of his so-called clients admitted he’d never purchased a pick.
But Mazi’s potential fraud isn’t the most chilling part of this story. It’s the market that allowed him to flourish—a system where opacity is profitable, fantasy is monetized, and oversight is nonexistent.
The UNLV Gaming Law Journal has called for urgent federal reforms: mandatory registration for touts, independent performance audits, and enforcement mechanisms for deceptive practices. These calls echo growing bipartisan concern in Congress, where legislation to classify tout services under federal consumer protection statutes has gained momentum. Without such safeguards, illusion remains a legal product.
The Commodity Futures Trading Commission (CFTC), meanwhile, is debating whether prediction markets like KalshiEX should be classified as gambling—creating further uncertainty in an already chaotic field. Without coherent federal guidance, patchwork laws leave consumers exposed and platforms unchallenged. The most dangerous figures aren’t illegal—they’re just unregulated.
Mazi VS was never just a gambler—he was a mirror. In him, men saw not only the collapse of regulation, but the collapse of meaning. His story is a parable, not of deception, but of demand. Young men didn’t fall for his curated success because they were naïve. They fell for it because they were starving—starving for role models, for certainty, for something that looked like victory.
This is the true machinery of sports betting: not algorithms or apps, but psychology. The reels spin inside the minds of those sidelined by institutions and sold dreams in downloadable formats. And the industry, from Mazi’s Instagram feed to billion-dollar betting platforms, has capitalized on that hunger.
Professor Scott Galloway puts it starkly: “Young men have become the most dangerous cohort in America—not because they’re violent, but because they’re untethered.” And when a generation becomes untethered, spectacle becomes sanctuary. Even when that sanctuary is rigged.
The Mirage Economy thrives on that detachment. It isn’t just betting—it’s bargaining. A silent negotiation between ego and emptiness. Mazi VS wasn’t merely offering picks. He was offering men permission—to believe, to belong, to matter.
But belief built on illusion always collapses. The real wager isn’t whether Mazi’s slips were fake. It’s whether our institutions, our culture, and our conscience will keep allowing systems like his to flourish unchecked.
Because when identity becomes currency and masculinity becomes a marketing strategy, the house doesn’t just win.
It collects what’s left.
THIS ESSAY WAS WRITTEN AND EDITED UTILIZING AI
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A high school student opens her laptop and types a question: What is Hamlet really about? Within seconds, a sleek block of text appears—elegant, articulate, and seemingly insightful. She pastes it into her assignment, hits submit, and moves on. But something vital is lost—not just effort, not merely time—but a deeper encounter with ambiguity, complexity, and meaning. What if the greatest threat to our intellect isn’t ignorance—but the ease of instant answers?
In a world increasingly saturated with generative AI (GenAI), our relationship to knowledge is undergoing a tectonic shift. These systems can summarize texts, mimic reasoning, and simulate creativity with uncanny fluency. But what happens to intellectual inquiry when answers arrive too easily? Are we growing more informed—or less thoughtful?
To navigate this evolving landscape, we turn to two illuminating frameworks: Daniel Kahneman’s Thinking, Fast and Slow and Chrysi Rapanta et al.’s essay Critical GenAI Literacy: Postdigital Configurations. Kahneman maps out how our brains process thought; Rapanta reframes how AI reshapes the very context in which that thinking unfolds. Together, they urge us not to reject the machine, but to think against it—deliberately, ethically, and curiously.
Kahneman’s landmark theory proposes that human thought operates through two systems. System 1 is fast, automatic, and emotional. It leaps to conclusions, draws on experience, and navigates the world with minimal friction. System 2 is slow, deliberate, and analytical. It demands effort—and pays in insight.
GenAI is tailor-made to flatter System 1. Ask it to analyze a poem, explain a philosophical idea, or write a business proposal, and it complies—instantly, smoothly, and often convincingly. This fluency is seductive. But beneath its polish lies a deeper concern: the atrophy of critical thinking. By bypassing the cognitive friction that activates System 2, GenAI risks reducing inquiry to passive consumption.
As Nicholas Carr warned in The Shallows, the internet already primes us for speed, scanning, and surface engagement. GenAI, he might say today, elevates that tendency to an art form. When the answer is coherent and immediate, why wrestle to understand? Yet intellectual effort isn’t wasted motion—it’s precisely where meaning is made.
Rapanta and her co-authors offer a vital reframing: GenAI is not merely a tool but a cultural actor. It shapes epistemologies, values, and intellectual habits. Hence, the need for critical GenAI literacy—the ability not only to use GenAI but to interrogate its assumptions, biases, and effects.
Algorithms are not neutral. As Safiya Umoja Noble demonstrated in Algorithms of Oppression, search engines and AI models reflect the data they’re trained on—data steeped in historical inequality and structural bias. GenAI inherits these distortions, even while presenting answers with a sheen of objectivity.
Rapanta’s framework insists that genuine literacy means questioning more than content. What is the provenance of this output? What cultural filters shaped its formation? Whose voices are amplified—and whose are missing? Only through such questions do we begin to reclaim intellectual agency in an algorithmically curated world.
Kahneman reveals how prone we are to cognitive biases—anchoring, availability, overconfidence—all tendencies that lead System 1 astray. GenAI, far from correcting these habits, may reinforce them. Its outputs reflect dominant ideologies, rarely revealing assumptions or acknowledging blind spots.
Rapanta et al. propose a solution grounded in epistemic courage. Critical GenAI literacy is less a checklist than a posture: of reflective questioning, skepticism, and moral awareness. It invites us to slow down and dwell in complexity—not just asking “What does this mean?” but “Who decides what this means—and why?”
Douglas Rushkoff’s Program or Be Programmed calls for digital literacy that cultivates agency. In this light, curiosity becomes cultural resistance—a refusal to surrender interpretive power to the machine. It’s not just about knowing how to use GenAI; it’s about knowing how to think around it.
Interpretation is inherently plural—shaped by lens, context, and resonance. Kahneman would argue that System 1 offers the quick reading: plot, tone, emotional impact. System 2—skeptical, slow—reveals irony, contradiction, and ambiguity.
GenAI can simulate literary analysis with finesse. Ask it to unpack Hamlet or Beloved, and it may return a plausible, polished interpretation. But it risks smoothing over the tensions that give literature its power. It defaults to mainstream readings, often omitting feminist, postcolonial, or psychoanalytic complexities.
Rapanta’s proposed pedagogy is dialogic. Let students compare their interpretations with GenAI’s: where do they diverge? What does the machine miss? How might different readers dissent? This meta-curiosity fosters humility and depth—not just with the text, but with the interpretive act itself.
This reimagining impacts education profoundly. Critical literacy in the GenAI era must include:
Educators become co-inquirers, modeling skepticism, creativity, and ethical interrogation. Classrooms become sites of dialogic resistance—not rejecting AI, but humanizing its use by re-centering inquiry.
A study from Microsoft and Carnegie Mellon highlights a concern: when users over-trust GenAI, they exert less cognitive effort. Engagement drops. Retention suffers. Trust, in excess, dulls curiosity.
Emerging neurocognitive research suggests overreliance on GenAI may dampen activation in brain regions associated with semantic depth. A speculative analysis from MIT Media Lab might show how effortless outputs reduce the intellectual stretch required to create meaning.
But friction isn’t failure—it’s where real insight begins. Miles Berry, in his work on computing education, reminds us that learning lives in the struggle, not the shortcut. GenAI may offer convenience, but it bypasses the missteps and epiphanies that nurture understanding.
Creativity, Berry insists, is not merely pattern assembly. It’s experimentation under uncertainty—refined through doubt and dialogue. Kahneman would agree: System 2 thinking, while difficult, is where human cognition finds its richest rewards.
The implications reach beyond academia. Curiosity fuels critical citizenship, ethical awareness, and democratic resilience. GenAI may simulate insight—but wonder must remain human.
Ezra Lockhart, writing in the Journal of Cultural Cognitive Science, contends that true creativity depends on emotional resonance, relational depth, and moral imagination—qualities AI cannot emulate. Drawing on Rollo May and Judith Butler, Lockhart reframes creativity as a courageous way of engaging with the world.
In this light, curiosity becomes virtue. It refuses certainty, embraces ambiguity, and chooses wonder over efficiency. It is this moral posture—joyfully rebellious and endlessly inquisitive—that GenAI cannot provide, but may help provoke.
A flourishing postdigital intellectual culture would:
In this culture, Kahneman’s System 2 becomes more than cognition—it becomes character. Rapanta’s framework becomes intellectual activism. Curiosity—tenacious, humble, radiant—becomes our compass.
The future of thought will not be defined by how well machines simulate reasoning, but by how deeply we choose to think with them—and, often, against them. Daniel Kahneman reminds us that genuine insight comes not from ease, but from effort—from the deliberate activation of System 2 when System 1 seeks comfort. Rapanta and colleagues push further, revealing GenAI as a cultural force worthy of interrogation.
GenAI offers astonishing capabilities: broader access to knowledge, imaginative collaboration, and new modes of creativity. But it also risks narrowing inquiry, dulling ambiguity, and replacing questions with answers. To embrace its potential without surrendering our agency, we must cultivate a new ethic—one that defends friction, reveres nuance, and protects the joy of wonder.
Thinking against the machine isn’t antagonism—it’s responsibility. It means reclaiming meaning from convenience, depth from fluency, and curiosity from automation. Machines may generate answers. But only we can decide which questions are still worth asking.
THIS ESSAY WAS WRITTEN BY AI AND EDITED BY INTELLICUREAN
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