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The Permanent Underclass: No One Can Answer That 17-Year-Old Child

The article "The Permanent Underclass: No One Has an Answer for That 17-Year-Old" explores the concept of a "permanent underclass" emerging in a future where AI can perform most cognitive and physical labor. This theory, gaining traction in tech circles, suggests that as AI reduces the need for human workers, wages lose importance, and wealth increasingly flows to those who own AI models, compute, and data. The core issue is not temporary poverty but the potential breakdown of the traditional ladder of upward mobility—through labor, bargaining, and asset accumulation—making "underclass" a permanent status. The piece highlights a poignant question posed by researcher Jasmine Sun to AI lab personnel: What advice would you give a typical 17-year-old facing this future? Most had no answer, acknowledging the frightening transition ahead. However, while struggling to advise others, many in the AI field are securing their own positions, shifting from research or policy into labs to gain equity and stand on the "capital" side. This creates a vicious cycle: the more people believe labor's bargaining power is vanishing, the fewer work to rebuild it, accelerating its decline. Common personal survival strategies—learning AI skills, acquiring AI company equity, or pivoting to hands-on, in-person work—are analyzed. The author argues these are largely stopgaps, accessible mainly to the privileged, and may collectively undermine labor's overall position. The fundamental question shifts from "how not to fall behind" to "why must one's survival depend on being needed by capital?" The article concludes that the real solution is not individual adaptation but building a new societal "negotiating table"—new laws, forms of collective bargaining, or redistribution mechanisms (like taxes or public funds) to ensure the wealth AI creates is shared, especially with those displaced. It contrasts tentative institutional responses in China with a potential regulatory vacuum in the US, warning that without such frameworks being established before public frustration boils over, social unrest could follow. The 17-year-old’s dilemma underscores a systemic failure: the architects of this future are buying personal insurance but offering no collective answers.

marsbitHace 13 hora(s)

The Permanent Underclass: No One Can Answer That 17-Year-Old Child

marsbitHace 13 hora(s)

On the Eve of the U.S. Stock Inflation Test, Wall Street Faces the Worst 'Data Deception' in History

On the eve of the US June CPI data release, a stark contradiction is undermining market trust in macroeconomic indicators. Official data, showing May CPI at 4.2% and PCE at 3.4%, paints a picture of manageable inflation pressures. However, the University of Michigan Consumer Sentiment Index hit a record low in May and its second-lowest reading in June across its 50-year history, which includes multiple recessions and crises. This gap highlights a systemic flaw in the current inflation measurement system, as argued by labor economist Kathryn Anne Edwards. The CPI, based on an average "market basket" for a "typical consumer," masks vastly different inflation realities across income and demographic groups. BLS research from 2006-2023 shows the lowest income quintile experienced an annual inflation rate approximately 0.28 percentage points higher than the highest quintile, a cumulative 7.7-point difference. This averaging obscures the true economic pressure distribution from investors and policymakers. Edwards argues the technical barriers to improvement are low. The BLS already collects the necessary price data. Expanding the current three consumer baskets—by factors like household type, income, age, or tenure—would mainly involve re-weighting existing data, a path already demonstrated by BLS's experimental series for seniors and income quintiles. Beyond measurement issues, real economic pressures persist, including slowing hiring, stagnant wage growth, elevated prices, rising credit card debt, high interest rates, and AI's potential labor market impact. These factors explain the deep consumer pessimism. For markets, the key takeaway is to question how well a single aggregate CPI captures the true, differentiated inflation pressures and consumption risks that are critical for understanding the Fed's policy path.

链捕手07/13 14:20

On the Eve of the U.S. Stock Inflation Test, Wall Street Faces the Worst 'Data Deception' in History

链捕手07/13 14:20

The Networking Game in Silicon Valley's Elite Circles: Those with Connections Get $50 Million, While the Truly Talented Can't Raise Money?

"Silicon Valley's Meritocracy to Relationship Game: How Networks Now Trump Talent." The article argues that Silicon Valley has shifted from a meritocracy to a "kingmaker" system where connections and background outweigh true ability. Key factors driving this change include: 1. **AI-Distorted Expectations:** Unprecedented growth curves (e.g., Anthropic) have led VCs to seek only "sure things" or pattern-match against past successes. 2. **Capital Concentration:** LP funds are concentrated in a few large, multi-stage funds, pushing VCs to overpay for hot deals to secure capital. 3. **VC Professionalization:** The industry has become a standardized career path, attracting conformist "NPCs" rather than independent thinkers. The long IPO timeline incentivizes safe, consensus bets for career advancement over risky, fund-returning outliers. This consensus capital fuels consensus founders. Startups are now a standard career option, with accelerators pressuring uniform ideas (e.g., 81% AI). Founders from elite schools (Stanford, OpenAI) easily raise millions based on pedigree, not proof. Large funds preemptively back "centrally cast" teams with $10-50M war chests to dominate categories, sidelining outsiders. The "kingmaker" strategy has downstream effects: it encourages aggressive, sometimes fraudulent, revenue reporting and allows founders to sell significant secondary shares early, attracting grifters. The author predicts a mean reversion. History shows the hottest trends rarely produce the most valuable companies. They advocate backing underestimated outsiders with "a chip on their shoulder" over anointed insiders, believing true meritocracy will ultimately win. "Those chasing the herd are set up for slaughter."

marsbit07/10 04:13

The Networking Game in Silicon Valley's Elite Circles: Those with Connections Get $50 Million, While the Truly Talented Can't Raise Money?

marsbit07/10 04:13

Real-life 'Black Mirror' Pumpfun Go: 40 Yuan to Lick Toilets, 14,000 USD for a Logo Tattoo on the Forehead

The article discusses the controversial new platform "Pumpfun Go," a bounty task platform launched by the meme coin platform Pump.fun. Its slogan is "Pay anyone to do anything." The platform allows users to anonymously post tasks with cryptocurrency rewards, which are held in escrow until completion and verification. The piece highlights extreme and disturbing tasks that have gained notoriety, such as licking a gas station toilet floor for roughly $5.63, eating live insects, getting a company logo tattooed on one's forehead for $14,000, and even a now-removed $700,000 bounty for suicide. These tasks are often linked to promoting specific meme coins by generating shocking, attention-grabbing content. While some tasks involve community-building or charity, critics, including New York Governor Kathy Hochul, condemn the platform for exploiting economic desperation and encouraging humiliating or dangerous behavior. They argue it mirrors dystopian narratives from shows like "Black Mirror" and movies like "Nerve," where online dares escalate for viewers' entertainment. Supporters and some participants counter that the platform provides much-needed income opportunities for the financially struggling. One user claimed the bounty money far exceeded his monthly salary. The article concludes by questioning the morality of a system where the wealthy pay for spectacle and the poor trade dignity for survival, reflecting a long history of public consumption of others' suffering. It suggests hope may lie in future technological abundance freeing people from such desperate choices.

marsbit06/30 03:25

Real-life 'Black Mirror' Pumpfun Go: 40 Yuan to Lick Toilets, 14,000 USD for a Logo Tattoo on the Forehead

marsbit06/30 03:25

Real-Life 'Black Mirror' Pumpfun Go: 40 Yuan to Lick a Toilet, $14,000 to Tattoo a Logo on Your Forehead

Pumpfun Go, a bounty task platform launched by the meme coin platform Pump.fun, is facing intense controversy. The platform's slogan "Pay anyone to do anything" has manifested in real-world tasks where participants perform increasingly extreme or demeaning acts for cryptocurrency rewards. These tasks range from licking a gas station toilet floor for roughly $5.63 to getting a permanent "bounty.fun" logo tattooed on one's forehead for $14,000. Other completed challenges include eating live insects and quitting a job on camera. The highest-value active bounty offers approximately $560,000 for climbing Mount Everest and placing a bet on a specified platform. While some tasks involve promoting meme coins or community events, the platform has drawn widespread criticism for incentivizing the exploitation of economic desperation. Participants, often citing "we need money" as their motivation, complete these tasks for sums that can far exceed their regular income. Critics, including New York Governor Kathy Hochul, have condemned Pumpfun Go as a dystopian system that commodifies human dignity and preys on the vulnerable. Supporters argue it provides a novel income opportunity for those in need. The debate highlights deeper societal issues around power, inequality, and the historical human fascination with spectacles of humiliation. The platform's existence raises questions about the ethical limits of anonymous online markets and the persistent reality where financial need forces individuals to trade their dignity for survival.

Odaily星球日报06/30 03:16

Real-Life 'Black Mirror' Pumpfun Go: 40 Yuan to Lick a Toilet, $14,000 to Tattoo a Logo on Your Forehead

Odaily星球日报06/30 03:16

Korean Youth, Making a 'Last Stand' in an Epic Bull Market

South Korea is experiencing an unprecedented stock market boom in the first half of 2026, with the KOSPI index doubling in six months, driven primarily by tech giants Samsung Electronics and SK Hynix. This "epic bull run," tied to the semiconductor cycle, has sparked a nationwide frenzy for stock trading. The country, with a population of just over 50 million, now has over 105 million securities accounts. The article, from the perspective of a Chinese national living in Seoul, explores how this speculative fever reflects deeper societal anxieties among Korean youth. Facing stagnant wages, high costs of living, housing pressures, and rigid social stratification, many young people see the volatile market as a "last chance" to alter their predetermined life trajectories and escape financial precarity. Stories include a young office worker investing her meager savings, a couple delaying marriage due to financial pressures, and a seasoned trader navigating exclusive social circles where market information is currency. However, the boom also exposes and exacerbates existing inequalities. While some achieve windfalls, others face devastating losses, with borrowing to invest reaching record highs. The narrative contrasts the illusion of equal opportunity with the harsh reality that the ability to absorb risk is unevenly distributed. Ultimately, the market frenzy is portrayed not as a solution, but as a symptom of a generation's struggle against a system offering limited upward mobility, where daily life is a precarious balance of bills, debts, and societal expectations.

marsbit06/11 06:39

Korean Youth, Making a 'Last Stand' in an Epic Bull Market

marsbit06/11 06:39

Young South Koreans, Making a 'Last-Ditch Effort' in an Epic Bull Market

This article explores how an unprecedented stock market boom in South Korea during the first half of 2026, driven by the semiconductor industry, is transforming the lives of ordinary people, particularly the youth. The KOSPI index doubled in six months, fueled by giants Samsung and SK Hynix, leading to a frenzy of retail investing. With over 105 million stock accounts in a population of just over 50 million, a sense of "FOMO" (fear of missing out) is pervasive. Through the perspective of Li Yuning, a Chinese woman living in Seoul, the piece follows several young Koreans who see the market as a last chance to escape stifling economic pressures, high housing costs, and narrow social mobility. Individuals like Minji, a low-paid office worker, and Junho, saving for marriage, invest their limited savings, while experienced traders like Suhu navigate exclusive social circles. The narrative reveals that this speculative fever stems less from greed and more from deep-seated anxiety about being left behind in a society with growing wealth inequality and rigid class structures. However, the boom also exposes stark social divides. It exacerbates wealth gaps, as those with family support or existing capital fare better. The pressure to succeed is immense, with stories of devastating losses leading to personal tragedy. Ultimately, the article suggests the牛市 acts as a pressure valve and a temporary illusion of opportunity in a system where traditional paths to advancement seem increasingly closed, leaving young people to gamble on the market as a final, desperate bid for a better future.

链捕手06/11 06:33

Young South Koreans, Making a 'Last-Ditch Effort' in an Epic Bull Market

链捕手06/11 06:33

Is AI Creating a New Class of 'Information Poor'?

AI is generating a new kind of "information poverty." The core issue isn't that AI denies answers to the poor; it's that it provides abundant, cheap, and plausible-sounding answers to everyone. This availability shifts the true scarcity from obtaining answers to possessing the **judgment to evaluate them** and the access to turn them into real-world opportunities. New information poverty thus describes those who have AI tools and outputs, but lack the complementary skills, authorization, and contextual experience to critically assess and act on them. Research reveals a multi-layered divide: access to AI is stratified by income and platform design (e.g., premium vs. free, embedded tools). In workplaces, usage heavily favors higher-paid, more experienced, or formally trained employees, with AI often automating entry-level tasks that were traditional stepping stones. Crucially, the heaviest users are often mid-career professionals whose existing expertise allows them to effectively judge and leverage AI outputs, while novices risk over-relying on them without building judgment. While controlled experiments show AI can significantly boost low-skilled workers' performance, real-world adoption and benefit are constrained by unequal social and organizational structures. Historically, general-purpose technologies first reward those with existing complementary capital. AI, by affecting judgment-based work, may accelerate and deepen this initial inequality gap, even if it narrows over decades. The danger lies in the illusion of competence it creates, potentially stunting the very critical thinking needed in an era where judgment is paramount.

marsbit06/08 11:38

Is AI Creating a New Class of 'Information Poor'?

marsbit06/08 11:38

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