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“Money Can’t Buy Happiness”: Musk’s Tweet Stirs Debate As Cuban Weigh in Amid Scientific Perspective

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The debate over whether money can buy happiness was reignited this week by Elon Musk’s somber tweet on Wednesday. The tweet, accompanied by a sad-face emoji, reads: “Whoever said ‘money can’t buy happiness’ really knew what they were talking about.”

The post, from the world’s wealthiest individual with a net worth close to $1 trillion, quickly amassed over 92.8 million views, sparking widespread reactions and drawing a pointed response from fellow billionaire Mark Cuban. Cuban, ranked 372nd on the Bloomberg Billionaires Index with an estimated $9.62 billion fortune, countered: “Money doesn’t change who you are it just amplifies it. If you were happy when you were poor, you will be insanely happy if you get rich. If you were miserable, you will stay miserable, just with a lot less financial stress.”

Cuban’s perspective, rooted in his own rags-to-riches story as the founder of Broadcast.com and owner of the Dallas Mavericks, emphasizes that wealth magnifies inherent traits rather than inherently creating joy.

Musk, CEO of Tesla, SpaceX, and xAI, has echoed similar sentiments before. In a November 2025 appearance on Nikhil Kamath’s “People by WTF” podcast, he advised: “Aim to make more than you take. Be a net contributor to society,” suggesting that fulfillment stems from creating value, not accumulating wealth.

Despite his vast fortune, Musk has openly discussed personal struggles, including loneliness and the burdens of leadership, which may inform his view. Scientific research offers nuanced insights into this age-old question, generally affirming a positive but complex link between income and happiness. A seminal 2010 study by Nobel laureates Daniel Kahneman and Angus Deaton analyzed U.S. data and found that emotional well-being rises with income up to about $75,000 annually (adjusted to roughly $110,000 in 2026 dollars), after which it plateaus, while life satisfaction continues to increase.

They concluded that “high income buys life satisfaction but not happiness,” with diminishing returns beyond basic needs.

Subsequent research has challenged this threshold. In 2021, Wharton senior fellow Matthew Killingsworth, using a large U.S. dataset with real-time happiness tracking, found that both emotional well-being and life satisfaction rise continuously with income, even beyond $200,000 annually, following a log-linear pattern where each doubling of income yields similar happiness gains.

A 2024 follow-up by Killingsworth confirmed that for most people (about 80%), happiness increases without limit, though a minority (20%) experiences a flattening or decline at higher incomes due to personality factors. Killingsworth’s work suggests the $75,000 satiation point does not hold broadly, with happiness scaling log-linearly across income levels.

Studies from the Happier Lives Institute and others affirm that cash transfers significantly boost happiness in low- and middle-income countries, with effects persisting long-term, supporting that money “buys” happiness where basic needs are unmet. In richer nations, the link weakens but persists, with experiences (e.g., vacations) and prosocial spending (e.g., giving to others) yielding greater joy than material purchases.

University of Leicester’s David Bartram noted: “Once you’ve got a few million, anything extra is meaningless for happiness,” emphasizing purpose and relationships over wealth accumulation.

A 2023 collaborative paper by Kahneman, Killingsworth, and Barbara Mellers reconciled earlier debates, finding happiness rises continuously for most but plateaus for the unhappiest 20% around $100,000. Wharton’s 2024 study on millionaires showed happiness increasing even beyond $500,000, challenging complete satiation.

However, University of Nebraska-Lincoln research stresses that “doing” (experiences) trumps “having” (things), and prosocial spending enhances joy. Scientific American’s 2010 study found wealth impairs savoring simple pleasures.

Public discourse on X amplified the debate, with users sharing the Business Insider article on Musk and Cuban’s exchange, emphasizing personal experiences over blanket rules.

Ultimately, money facilitates happiness by meeting needs and enabling positive actions, but its impact diminishes at higher levels, where relationships, purpose, and generosity matter more. As Cuban suggests, wealth amplifies one’s baseline disposition—happy people get happier, while the miserable remain so, albeit with less financial stress.

South Africa and China Sign Framework Economic Partnership Agreement, Aiming for Duty-Free Export Access Amid U.S. Tariff Pressures

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South Africa took a significant step toward deepening economic ties with China on Friday, when Trade, Industry and Competition Minister Parks Tau signed a Framework Agreement on Economic Partnership for Shared Prosperity during a visit to Beijing.

The agreement, described by the South African trade ministry as a foundation for securing duty-free access to the Chinese market for South African exports, is part of a broader push to diversify trade partners and offset the impact of steep U.S. tariffs imposed by President Donald Trump. It also comes amid a degenerating faceoff between Pretoria and Washington that has strained diplomatic and economic relations to their lowest point in decades.

The framework paves the way for an “Early Harvest Agreement” expected by the end of March 2026, which will grant China duty-free access for South African goods in priority sectors. The ministry highlighted opportunities for South African businesses in mining, agriculture, and value-added manufacturing to penetrate the Chinese market, while emphasizing safeguards to protect domestic industrial capacity.

“We will negotiate with a view to create the necessary safeguards built into the agreement so as to protect South Africa’s industrial capacity,” Tau said in a statement.

China has invited South Africa to an investment promotion event focused on its steel industry, with Tau expressing optimism: “We look forward to attracting even more Chinese investment into South Africa, and also introducing many South African products into the Chinese market.”

The agreement aligns with China’s June 2025 pledge to eliminate tariffs on imports from all 53 African states with which it maintains diplomatic relations—a policy announced in response to Trump’s global tariff announcements. The faceoff between South Africa and the United States was exacerbated by Trump’s imposition of a 30% tariff on South African exports in August 2025—the highest rate applied to any Sub-Saharan African country.

Trump cited unfair trade practices and national security concerns, but the tariffs are part of his broader “America First” reciprocal tariff strategy, which has hobbled duty-free benefits under the African Growth and Opportunity Act (AGOA). Thirteen of the 30 AGOA-eligible countries face 15% tariffs, while South Africa’s 30% duties supersede AGOA preferences, effectively rendering the program defunct for many South African goods.

U.S.-South Africa relations have plunged to their worst in decades, fueled by Trump’s baseless accusations that the South African government is pursuing anti-American foreign policies, expropriating land from white farmers without compensation, and failing to stop a purported “genocide” against the white minority. South Africa has vehemently denied these claims, with President Cyril Ramaphosa labeling them as unfounded and inflammatory.

The tensions led to South Africa’s exclusion from U.S.-hosted G20 events in 2025 and Trump’s barring of Pretoria from other international forums. In a partial reprieve, Trump signed a one-year extension of AGOA on February 3, 2026, renewing duty-free access for eligible African exports until December 31, 2026, with retroactive effect from September 30, 2025, when the program expired.

U.S. Trade Representative Jamieson Greer stated the extension accounts for existing tariffs, providing short-term relief but leaving long-term uncertainty. Analysts describe it as a “fragile” stopgap measure, with South Africa’s inclusion remaining tenuous amid ongoing diplomatic frictions. Oxford Economics’ Brendon Verster noted: “Trump’s Liberation Day tariffs effectively negate AGOA.”

South Africa has been actively negotiating a better trade deal with the U.S. under the proposed Agreement on Reciprocal Tariffs (ART) to reduce the 30% rate, which affects key exports like cars, precious metals, and agricultural products. The tariffs have already impacted thousands of jobs and forced exporters to absorb higher duties.

In 2024, $8.23 billion in goods were exported under AGOA, with half from South Africa—mainly autos, metals, and farm produce—and one-fifth from Nigeria (primarily oil). The China agreement offers a counterweight, potentially mitigating these losses by opening new markets. China is already South Africa’s largest trading partner, with bilateral trade exceeding $50 billion annually, dominated by South African raw material exports (iron ore, platinum group metals, coal) and Chinese machinery, electronics, and consumer goods imports.

Deepening ties could boost South African opportunities in value-added sectors, though critics warn of increased dependency on Beijing. The development marks the latest step in Africa’s shift toward China amid U.S. trade pressures. Kenya announced a preliminary trade deal with China in January 2026, focusing on agricultural exports.

These bilateral pacts build on the Forum on China-Africa Cooperation (FOCAC), where China has committed to tariff-free access for least-developed African countries and expanded investment in infrastructure, manufacturing, and green energy.

Analysts view the framework as pragmatic diversification. The South African Chamber of Commerce and Industry welcomed it as a “strategic move,” while the Steel and Engineering Industries Federation called for robust safeguards against subsidized imports. The autos sector, contributing to about 30 million jobs (over 10% of urban employment), remains a critical pillar, and further U.S. tariff escalation could prompt Beijing to reinstate subsidies if the slowdown worsens.

Implications of U.S House of Representative Spending Package 

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The US House of Representatives passed a major spending package, to end a partial government shutdown that had lasted about four days.

The bill, a roughly $1.2 trillion appropriations measure, passed the House by a narrow bipartisan vote of 217-214. It included: Full-year funding through September 30, 2026 for most federal agencies and departments, such as Defense including a military pay raise, Labor, Health and Human Services, Education, Transportation, and Housing and Urban Development.

A short-term continuing resolution providing funding for the Department of Homeland Security (DHS) only through February 13, 2026 (about two weeks), to allow further negotiations.

This short-term DHS extension was a key compromise, driven by Democratic demands for restrictions or accountability measures on immigration enforcement operations (including ICE actions), amid recent controversies like reported incidents involving federal agents. The package had previously passed the Senate (in a 71-29 vote on January 30, 2026).

After House approval, President Donald Trump signed it into law later on February 3, 2026, in the Oval Office, officially ending the partial shutdown and reopening affected federal operations. Furloughed federal employees are expected to receive back pay for the affected period.

The deal resolves funding for the vast majority of the government but sets up a new potential funding cliff for DHS in mid-February, where further talks over immigration policy “guardrails” such as body camera requirements for agents will be needed to avoid another lapse.

This marks the second partial government shutdown in recent months, highlighting ongoing partisan divides, particularly around immigration and enforcement under the current administration.

The spending package signed into law by President Trump on February 3, 2026, explicitly includes provisions guaranteeing retroactive pay for both furloughed employees (those placed on unpaid leave) and excepted employees (those required to work without immediate pay during the lapse).

This aligns with the 2019 Government Employee Fair Treatment Act (GEFTA), which requires retroactive compensation at the standard rate of pay once funding is restored.

The recent bill reiterated this requirement, directing agencies to provide back pay “as soon as possible” despite earlier administration guidance from the Office of Personnel Management (OPM) and Office of Management and Budget (OMB) that had removed automatic back pay assurances and suggested it depended on specific congressional action in each funding measure.

This covers civilian federal workers in agencies impacted by the lapse e.g., parts of Defense, Labor, HHS, Education, Transportation, HUD, and others funded in the bill. Estimates during similar short lapses suggest hundreds of thousands were furloughed or worked without pay, though the brief duration about four days, including a weekend limited widespread hardship.

Agencies are reopening operations. Back pay is typically processed in the next regular paycheck or shortly thereafter, with payroll systems adjusting for the furlough/excepted periods. Employees should receive full compensation for the shutdown days as if they had worked normally (for furloughed) or for actual hours worked for excepted, including any overtime.

No major deductions or losses — Benefits like health insurance, retirement contributions, and leave accrual continue uninterrupted or are retroactively credited. No reports indicate otherwise for this short partial shutdown.

This outcome resolves uncertainty raised by the Trump administration’s prior positions. By including explicit language in the funding bill, Congress ensured compliance with existing law and avoided any denial of retroactive pay.

For the Department of Homeland Security (DHS) — funded only through February 13, 2026 — employees there remain under a short-term continuing resolution. If no further deal is reached, another lapse could occur, potentially triggering similar back pay provisions in any resolution. But for the resolved portion, federal workers are fully protected and compensated.

China’s EV Market Faces Sharp Slowdown as BYD Hits Nearly Two-Year Low in January Sales

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China’s electric vehicle sector, long a global growth engine, showed clear signs of strain in January 2026, with leading player BYD reporting its lowest monthly domestic sales in nearly two years amid weakening consumer demand, policy shifts, and intensifying price competition.

The slowdown reflects broader challenges in the world’s largest auto market, where overcapacity, subsidy reductions, and economic headwinds are testing the industry’s resilience.

BYD sold 83,249 battery electric passenger vehicles in January 2026, part of a total 205,518 new energy vehicles (including plug-in hybrids)—the lowest monthly domestic figure since February 2024’s 121,748 units. Exports also declined to 100,482 vehicles from 133,172 in December. The company, which overtook Tesla as the world’s top battery-electric vehicle seller in 2025 with 2.26 million units (up 28% year-on-year), has yet to disclose a full-year domestic sales target for 2026. It projects overseas sales growth of nearly 25% to 1.3 million units, signaling a strategic pivot toward international markets.

At least six major Chinese EV brands reported sharp month-on-month delivery declines in January, according to CNBC analysis. Xiaomi delivered over 39,000 vehicles, down from more than 50,000 in December, though up year-on-year. Xpeng fell to 20,011, after averaging over 35,000 monthly in 2025. Li Auto dropped to 27,668, and Nio reported 27,182. Aito (Huawei-backed) delivered over 40,000 units (up 80% year-on-year), while Leapmotor rose to 32,059. Geely, including Galaxy and Zeekr brands, sold more than 270,000 vehicles overall (including exports), with new energy vehicle sales targeted at 2.22 million for 2026 (up 32%).

The broader market echoed the weakness. China Passenger Car Association data showed new energy vehicle sales (battery and hybrid) grew just 2.6% year-on-year in December 2025—the third consecutive month of slowing growth. This contrasts with the sector’s explosive trajectory: by mid-2024, over half of new passenger cars sold in China were new energy vehicles, and BYD’s 2025 dominance underscored China’s lead in EV production and exports.

Key pressures include:

  • Policy Headwinds: On January 1, 2026, China reinstated a 5% purchase tax on new energy vehicles after more than a decade of full exemption from the 10% vehicle purchase tax. This change has prompted some consumers to delay purchases, with analysts expecting further moderation in early 2026 demand. Helen Liu, partner at Bain & Company, noted: “We see increasing pressure on China’s auto market in 2026, driven by a combination of policy and competitive factors.” Policy uncertainty and subsidy phase-outs have also made automakers more cautious about new model launches.
  • Intense Price Competition: A prolonged price war among domestic players has squeezed margins while pushing feature-rich vehicles at lower prices. Geely’s Galaxy EV and other low-end models have eroded BYD’s dominance in its traditional price segments. Tu Le, founder of Sino Auto Insights, observed: “BYD has had a stellar run at the top and it’s impressive how long they’ve been able to hold off their domestic competitors… Companies like Geely with its Xingyuan have really taken sales on the low end, where BYD’s bread is buttered.”
  • Economic Context: China’s economy continues to face headwinds from a prolonged real estate slump (once contributing ~25% of GDP), weak consumer confidence, and slowing growth. The auto sector, supporting over 30 million jobs (more than 10% of urban employment), remains a critical pillar. Fitch Ratings economist Alex Muscatelli noted that while autos represent only 3.7% of fixed asset investment (versus real estate’s 23%), further deterioration could prompt Beijing to reinstate subsidies. Industry observers, including Cameron Johnson of Tidalwave Solutions, expect potential policy support after Q1 data clarifies the slowdown’s depth.
  • Overcapacity and Exports: Massive investment has led to oversupply, depressing prices and prompting consolidation. Many producers have expanded overseas to offset domestic weakness, though global tariffs and trade tensions limit opportunities.

Despite the challenges, there are still some bright spots. Aito, Leapmotor, and Nio posted year-on-year delivery gains, while Xiaomi’s SU7 sedan remains popular ahead of an April upgrade. BYD continues to invest in charging infrastructure, energy storage, and intelligent driving, positioning itself for long-term leadership.

Tu Le expects BYD to retain dominance both domestically and internationally. China’s top leaders will release 2026 policy targets at the annual parliamentary meeting in March. With Q1 data still volatile due to the Lunar New Year holiday (which shifts annually), the full extent of the slowdown will become clearer later in the year.

Alibaba, Tencent, and Volcano Engine integrate OpenClaw as Big Tech Embraces Always-On AI Agents

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The viral AI agent OpenClaw, previously known as Clawdbot and later Moltbot, is gaining rapid traction in China, where major technology companies have begun integrating the tool into their cloud and workplace ecosystems, accelerating its adoption among developers and everyday users.

Its fast-growing adoption in China, backed by integrations from some of the country’s largest technology companies, is turning it into a live test case for how autonomous AI agents could reshape digital work, cloud computing, and enterprise software — even as concerns around data security and governance remain unresolved.

Over the past week, Chinese tech heavyweights, including Tencent, Alibaba, and Volcano Engine, ByteDance’s cloud services arm, have moved quickly to integrate OpenClaw into their platforms, according to Business Insider. These integrations make it significantly easier for Chinese users to deploy the agent in production environments, connect it to everyday workplace tools, and run it continuously as a digital assistant embedded inside familiar ecosystems such as Alibaba’s DingTalk and Tencent Holdings’ WeCom.

The speed of adoption underscores a broader shift underway in China’s AI landscape. Rather than focusing only on foundation models, cloud providers are now racing to position themselves as infrastructure layers for autonomous agents that can act, decide, and execute tasks across multiple applications. For Tencent Cloud and Alibaba Cloud, offering preconfigured OpenClaw deployments is not just about supporting a popular tool, but about keeping developers inside their ecosystems at a time when competition among cloud providers has intensified.

OpenClaw’s appeal lies in its ambition. Unlike chatbots designed for single interactions, the agent is built to run around the clock, maintain context across tasks, and interact with a wide range of consumer and enterprise applications. Users have demonstrated it by managing schedules, supervising coding sessions, coordinating workflows, and performing repetitive digital labor that would otherwise require constant human input. In effect, it markets itself as something closer to an “AI employee” than a productivity add-on.

That framing has resonated strongly with Chinese users, particularly among developers, founders, and content creators who see automation as a way to offset rising labor costs and intense competition. On Chinese social media platforms such as RedNote, OpenClaw demos and tutorials have proliferated, often framed as glimpses into a near future where small teams can scale output dramatically using autonomous agents. Posts highlighting “24/7 proactive assistants” and “digital coworkers” have attracted thousands of likes and saves, suggesting curiosity that goes beyond niche technical circles.

The enthusiasm mirrors earlier waves of AI adoption in the United States, but with a distinctly Chinese twist. As in the U.S., users are buying Mac Minis to run the agent locally, valuing their performance and stability. At the same time, China’s powerful cloud platforms are accelerating adoption by abstracting away much of the technical complexity, allowing even less experienced users to deploy OpenClaw with minimal setup.

Yet the rapid embrace of the agent has also surfaced deeper concerns, particularly around security and data governance. To function as a cross-app assistant, OpenClaw typically requires extensive permissions, including access to files, login credentials, browser activity, and network resources. Volcano Engine acknowledged these risks directly, warning developers to deploy the agent in isolated environments, avoid sensitive data, and carefully manage access to cloud servers and API keys.

Cybersecurity experts have gone further, cautioning that agents like OpenClaw are especially vulnerable to “prompt injections,” where hidden instructions embedded in content can manipulate an AI into leaking data or performing unauthorized actions. The always-on nature of such agents, combined with their broad access, raises the stakes of any successful exploit. Some Chinese users have echoed these fears publicly, warning that careless deployment could expose personal or corporate data to significant risk.

Despite these warnings, adoption has not slowed. That tension reflects a familiar dynamic in China’s tech sector, where experimentation often runs ahead of regulation. While Chinese authorities have imposed strict rules on generative AI models, autonomous agents that operate as productivity tools currently occupy a more ambiguous regulatory space. This gray area has allowed cloud providers and developers to move quickly, even as questions remain about accountability if an agent causes financial loss, data leakage, or compliance violations.

OpenClaw’s rise also fits into a larger global trend: the shift from AI as a passive tool to AI as an active participant in digital systems. Venture capitalists have increasingly argued that agents capable of executing multi-step tasks will unlock new layers of productivity and value. China’s embrace of OpenClaw suggests that this vision is not confined to Silicon Valley, but is becoming a shared frontier in the global AI race.

However, supporting OpenClaw may also carry strategic implications for China’s tech giants. Companies can reduce reliance on foreign AI ecosystems while still tapping into global innovation by integrating popular open or semi-open agents into domestic cloud platforms and pairing them with local models such as Alibaba’s Qwen series. At the same time, widespread deployment of such agents generates valuable feedback and usage data that could inform the next generation of proprietary AI products.

It is not yet clear whether OpenClaw will ultimately become a lasting fixture or a stepping stone toward more tightly controlled, enterprise-grade agents. What is already evident is that its rapid adoption in China has exposed both the appetite for autonomous AI and the unresolved risks that come with it.