2026-06-09 Вторник

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The Waged Worker Driven to Poverty by AI Subscriptions

"AI Membership: The Hidden Cost Pushing Workers Toward 'Poverty'" The widespread corporate push for AI adoption is creating a hidden financial burden for employees. Companies, from giants like Alibaba to small firms, are mandating AI use, often tying token consumption to KPIs, but frequently refuse to cover the costs. Workers are forced to pay for subscriptions out of pocket to stay competitive and avoid being replaced. Front-end developer Long Shen spends up to 2000 RMB monthly on tools like Cursor and ChatGPT Plus, seeing it as a necessary 3% salary investment to handle 90% of his coding tasks. While it boosted his performance and led to promotions, he now faces idle time at work, pretending to be busy. Designer Peng Peng navigates strict company firewalls by using personal devices and accounts for AI image generation tools like Midjourney, spending hundreds monthly without reimbursement, while her boss demands faster, more numerous revisions. The pressure creates workplace anxiety and suspicion. Programmer Li Huahua, after a friend's experience of raised KPIs following AI success, fears being branded a "traitor" for using it yet worries about falling behind if she doesn't. The dynamic allows management to demand results without understanding the tools or covering expenses, treating employees like AI "agents." While some, like entrepreneur Jin Tu, find high value in paid AI, building entire systems and winning competitions, for most, it's a trap. Free tools like Kimi and Doubao are introducing fees, closing off alternatives. The initial efficiency gains individual advantage, but as AI becomes ubiquitous, the personal edge disappears, workloads increase, and a cycle of dependency begins. Workers like Long Shen realize they cannot maintain AI-generated code without AI, making stopping harder than continuing to pay. The tool promising liberation is instead becoming a compulsory, costly chain in the modern workplace.

marsbit05/12 04:10

The Waged Worker Driven to Poverty by AI Subscriptions

marsbit05/12 04:10

SK Hynix's Trillion-Won Empire: The Successors

"SK Hynix's Trillion-Won Empire and Its Heirs" explores the unconventional succession narrative within SK Group, South Korea's second-largest conglomerate, following SK Hynix's dramatic market rise. Unlike traditional chaebol scripts prioritizing the eldest son, ownership, and political marriages, Chairman Choi Tae-won's three children from his first marriage are charting distinct paths. The eldest daughter, Choi Yun-jeong, is considered the most visible candidate. With a background in biology, consulting, and a PhD, she holds executive roles at SK Bioscience and SK Inc.'s growth strategy unit, focusing on biopharma and new businesses. Her marriage is to an AI infrastructure entrepreneur, not a traditional chaebol heir. The second daughter, Choi Min-jeong, took a unique route by voluntarily serving as a South Korean naval officer, including a tour in the Gulf of Aden. She later worked on policy and strategy for SK Hynix in Washington D.C. before co-founding an AI-driven healthcare startup in San Francisco. She married a former U.S. Marine Corps officer, connecting the family to U.S. defense and policy networks. The son, Choi In-geun, who has Type 1 diabetes, followed a more classic preparatory path with a physics degree and a stint at SK E&S but left to join McKinsey's Seoul office. He remains publicly silent and holds no SK shares, defying the traditional "crown prince" archetype. Their paths unfold against the backdrop of their parents' high-profile, contentious divorce and a record-setting asset division lawsuit. The article argues that as SK Hynix becomes a geopolitical asset in the AI era, the conventional rules of chaebol inheritance are changing. The heirs are being groomed not simply to take over, but to navigate a complex global landscape defined by AI, biotech, geopolitics, and policy, forging legitimacy through their own expertise and networks rather than birth order alone.

marsbit05/12 04:01

SK Hynix's Trillion-Won Empire: The Successors

marsbit05/12 04:01

BitMart Research Institute Weekly Highlights: A Comprehensive Review of Macro Environment, Crude Oil, AI Tech Stocks, and Crypto Market

**Weekly Market Review: Macro, Oil, AI Tech Stocks & Crypto Market** **Macroeconomic & Traditional Finance** The April U.S. Non-Farm Payrolls report of 115K new jobs exceeded expectations, but the data's quality was questioned. Growth was heavily concentrated in healthcare, while other sectors contracted, and manufacturing employment turned negative. A statistical model accounted for a large portion of the gains, conflicting with household survey data showing a loss of 226K jobs. Meanwhile, AI's impact on jobs is emerging, with information sector roles declining, though overall unemployment remains at ~4.3%. Oil prices hovered near $100 per barrel. Global oil buffer inventories have drawn down significantly, supporting prices, but high costs are suppressing demand. China's recent reduction in crude imports acted as a market stabilizer. Geopolitically, the U.S. and Iran are likely to reach a tentative agreement to keep the Strait of Hormuz open and avoid price spikes. For AI tech stocks, short-term prospects are mixed. A potential SpaceX IPO in June could pressure current index heavyweights like Nvidia, while smaller components might benefit. The mid-term focus shifts to Q2 earnings, emphasizing AI's return on investment. Long-term risks include potential election policy shifts and massive IPOs from companies like OpenAI, which could test the sector's sustainability. **Crypto Market & Ecosystem** Crypto markets rose moderately, with BTC climbing from ~$77K to ~$82K, driven by improved risk sentiment. Spot trading volumes remain low, but buying pressure is evident. ETF inflows continued (~$791M last week). However, institutional purchases of BTC and ETH were more modest than expected. The derivatives market shows lingering bearish bets, particularly on alts and ETH. A key trend is the "dual-track" model where projects pursue public listings for traditional funding while also building their own blockchains/tokens to capture crypto liquidity, as seen with Circle's ARC chain. Stablecoins and institutional chains present significant future opportunities. *Disclaimer: This is market analysis, not investment advice.*

marsbit05/12 03:27

BitMart Research Institute Weekly Highlights: A Comprehensive Review of Macro Environment, Crude Oil, AI Tech Stocks, and Crypto Market

marsbit05/12 03:27

While Everyone Says NFTs Are 'Dead', the Art World is Quietly Completing an 'On-Chain Renaissance'

While many declare NFTs "dead" and dismiss them as overhyped JPEGs, a significant institutional shift is quietly underway within the art world, signaling a "on-chain renaissance." Traditional art, a ~$60B market, is stagnant, aging, and highly concentrated, facing a massive $80 trillion generational wealth transfer to digital-native heirs. Contrary to the narrative, leading institutions have been building infrastructure for digital and on-chain art. Major museums like MoMA, the Centre Pompidou, LACMA, and the Guggenheim have acquired seminal NFT works into their permanent collections. Top galleries like Pace, Gagosian, and Hauser & Wirth have launched NFT platforms or accepted crypto, with Pace giving a solo show to generative artist Tyler Hobbs. Auction houses Sotheby's and Christie's operate dedicated on-chain sales platforms. This follows a historical pattern where every major art movement—from Impressionism to Pop Art—was initially mocked before institutional acceptance. NFT art, only 7-12 years old, is progressing faster. Auction data shows resilience, with works by Beeple ($69.3M), Pak (~$91M), and Dmitri Cherniak ($6.2M in a bear market) achieving high prices. A new cohort of collectors (e.g., FlamingoDAO, PleasrDAO) and "Medici" figures like Cozomo de' Medici are accumulating foundational works. The core argument is that NFTs represent not a speculative asset class but a new ownership system for digital culture, solving provenance issues through immutable, timestamped blockchain records. The medium has survived the speculative crash and is being institutionalized. The bet isn't on short-term price rallies but on the long-term cultural significance of on-chain art as the defining medium for the next generation of collectors.

marsbit05/12 02:49

While Everyone Says NFTs Are 'Dead', the Art World is Quietly Completing an 'On-Chain Renaissance'

marsbit05/12 02:49

Jensen Huang's Message to Graduates: AI Won't Replace You, But Those Who Excel at Using AI Will

NVIDIA CEO Jensen Huang, addressing 2026 graduates at Carnegie Mellon University, emphasized that AI will not replace people, but those who leverage AI effectively will have an advantage. He delivered this message during a commencement speech where he also received an honorary doctorate, his seventh. Huang reflected on his personal journey as an immigrant, starting from humble beginnings as a dishwasher to co-founding NVIDIA. He shared early struggles, including a near-bankruptcy moment saved by honesty with Sega, highlighting resilience and learning from failure. He positioned the current era as the dawn of the AI revolution, a shift as significant as past computing waves. Huang explained that AI is redefining computing from human-written software to machine learning, creating a new industry focused on manufacturing intelligence. While acknowledging fears about job displacement, he argued that AI amplifies human capabilities rather than replaces human purpose. Tasks may be automated, but the core meaning of professions remains. Huang urged graduates to embrace this transformative time with responsibility and optimism. He stated that AI should democratize technology, bridging gaps and enabling broader participation in creation and problem-solving. His final advice was to actively engage with the opportunity: "So run, don’t walk," and to put their hearts into their work.

marsbit05/12 02:42

Jensen Huang's Message to Graduates: AI Won't Replace You, But Those Who Excel at Using AI Will

marsbit05/12 02:42

Three Scenarios for BTC's Future Direction and a Duel Between Two Strong Forces | Special Invited Analysis

**Title: Three Scenarios for BTC's Future Trajectory and a Key Duel | Invited Analysis** The market remains at a critical juncture. Over the past week, Bitcoin (BTC) consolidated broadly between $79,500 and $80,600, validating previous technical analysis. The current focus is on whether this marks the start of a new uptrend or a pause within a larger correction. **BTC Multi-Cycle Analysis & Three Possible Scenarios** BTC's daily chart structure, following its peak at $126,200 in October 2025, presents three primary technical scenarios based on Elliott Wave theory: 1. **Bullish Scenario (End of Correction):** The corrective A-B-C wave from $126,200 ended at the $60,000 low in February 2026. The current price action is the start of a major Wave I uptrend. A subsequent Wave II pullback would not break below $60,000. 2. **Bearish Scenario 1 (Complex Correction):** The correction is unfolding as an A-B-C-D-E pattern. The current move from $60,000 is a D-wave rally. After its completion, a final E-wave decline could potentially breach the $60,000 level. 3. **Bearish Scenario 2 (Larger Correction):** The entire move down from $126,200 to $60,000 was a large A-wave. The current rally is a B-wave correction within a larger A-B-C structure, to be followed by a C-wave decline below $60,000. *Analysis suggests Scenario 2 is less probable due to time disproportions between waves. The battle is effectively between the Bullish Scenario (1) and Bearish Scenario (3).* **Key BTC Levels & Weekly Strategy** On the 4-hour chart, BTC trades above a crucial consolidation zone ("Central Pivot C"). * **Key Resistance:** $83,500-$84,500; $89,000-$90,500. * **Key Support:** $78,500-$79,500 (pivot upper bound); $73,500-$75,000; $69,500-$70,500. **Weekly Outlook:** The market direction hinges on BTC's ability to hold above or break below the $78,500-$79,500 support zone. * **Mid-term Strategy:** Neutral/Wait-and-see stance due to unclear direction. * **Short-term Tactics:** Two contingency plans using 30% max capital: * **Plan A (Bullish):** Look for long entries if price holds above $78,500-$79,500 with confirming signals. Initial stop-loss below $78,500. * **Plan B (Bearish):** Consider short positions if price breaks below $73,500-$75,000 with confirming signals. Initial stop-loss above $76,500. **HYPE Analysis & Strategy** HYPE's daily chart shows a seven-segment structure from its January low of $20.46, forming a "rising pivot" zone. * **Key Level to Watch:** $45.76 (previous high). A break above would confirm the bullish structure remains intact. * **Short-term Strategy:** Focus on pivot zone boundaries ($38.41 upper, $34.44 lower). * **Long:** Consider on support near $38.41 with bullish confirmation signals. * **Short:** Consider on a break below $34.44 with bearish confirmation signals. * Position size must be below 30% with strict stop-loss discipline. **Risk Management Reminder:** Always set an initial stop-loss upon entry. Move stop-loss to breakeven at +1% profit, then trail it upwards to lock in profits dynamically. All views are based on technical analysis for informational purposes only and do not constitute investment advice. The market is inherently risky.

Odaily星球日报05/12 02:33

Three Scenarios for BTC's Future Direction and a Duel Between Two Strong Forces | Special Invited Analysis

Odaily星球日报05/12 02:33

Sequoia Interview with Hassabis: Information is the Essence of the Universe, AI Will Open Up Entirely New Scientific Branches

Demis Hassabis, co-founder and CEO of Google DeepMind and Nobel laureate, discusses the path to AGI and its profound implications in a Sequoia Capital interview. He outlines his lifelong dedication to AI, tracing his journey from game development (e.g., *Theme Park*)—a perfect AI testing ground—to neuroscience and finally founding DeepMind in 2009. He emphasizes the critical lesson of being "5 years, not 50 years, ahead of time" for successful entrepreneurship. Hassabis reiterates DeepMind's two-step mission: first, solve intelligence by building AGI; second, use AGI to tackle other complex problems. He highlights the transformative potential of "AI for Science," particularly in biology where tools like AlphaFold have revolutionized protein folding. He envisions AI-powered simulations drastically shortening drug discovery from years to weeks and enabling personalized medicine. Furthermore, he predicts AI will spawn new scientific disciplines, such as an engineering science for understanding complex AI systems (mechanistic interpretability) and novel fields enabled by high-fidelity simulators for complex systems like economics. He posits a fundamental worldview where information, not just matter or energy, is the essence of the universe, making AI's information-processing core uniquely suited to understanding reality. He defends classical Turing machines as potentially sufficient for modeling complex phenomena, including quantum systems, as demonstrated by AlphaFold. On consciousness, Hassabis suggests first building AGI as a powerful tool, then using it to explore deep philosophical questions. He believes components like self-awareness and temporal continuity are necessary for consciousness but that defining it fully remains an open challenge. He predicts AGI could arrive around 2030 and, once achieved, would be used to probe the deepest questions of science and reality, much as envisioned in David Deutsch's *The Fabric of Reality*.

链捕手05/12 02:15

Sequoia Interview with Hassabis: Information is the Essence of the Universe, AI Will Open Up Entirely New Scientific Branches

链捕手05/12 02:15

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