Core Viewpoint - The article highlights the risks associated with virtual asset investment projects that promise high returns with low risk, often using deceptive marketing tactics and technology to mask their illegitimacy [1][7][19]. Group 1: Nature of Investment Projects - Many fraudulent projects disguise themselves under terms like "DeFi decentralized finance," "DApp finance," and "stablecoin mining," which essentially involve fundraising and rebate activities while obscuring risks with technological jargon [3][19]. - Investment platforms often promote high annualized returns, with some claiming rates as high as 540%, and utilize social media and offline meetings to attract investors [6][14]. Group 2: Legal and Regulatory Concerns - From a legal perspective, investors must be cautious and responsible for their civil legal actions, as many of these virtual asset investment projects lack legitimate financial qualifications and regulatory approval [4][7]. - Recent warnings from local financial management authorities in cities like Beijing and Zhejiang have highlighted the risks associated with stablecoins and virtual asset investments, indicating a growing concern over illegal financial activities [7][26][27]. Group 3: Investment Models and Returns - The article describes various investment models, such as those requiring the use of specific apps like "TokenPocket" to access decentralized applications (DApps), with some platforms offering returns based on complex referral and team-building structures [10][11][18]. - For instance, one platform offers a return of 2624 USDT for a 6100 USDT investment over one month, showcasing the exaggerated profit claims that are often used to lure investors [9]. Group 4: Criminal Risks - Participation in these investment schemes can lead to criminal risks, including potential charges of illegal fundraising or pyramid schemes, regardless of the investor's intent [24][27]. - The article emphasizes that even if individuals do not have criminal intent, involvement in such projects can result in legal repercussions due to the nature of the fundraising activities [26][27].

Group 1 - The core argument emphasizes that individuals cannot earn beyond their cognitive limits, and any accidental gains will eventually be lost, highlighting the importance of cognitive evolution in wealth generation [2] - The article outlines the historical context of four industrial revolutions, illustrating how each revolution has led to a significant shift in cognitive understanding and economic structures [3] Group 2 - The first industrial revolution marked a cognitive divide with the introduction of machines, leading to a 15% annual decline in traditional textile workshops between 1800 and 1810 in the UK, as machine efficiency surpassed manual labor [5] - The second industrial revolution showcased the importance of electricity, with companies like General Electric and Siemens leveraging technology and capital to create industry barriers, emphasizing the need for cognitive upgrades in business practices [5] - The third industrial revolution highlighted the impact of the internet, with Amazon achieving $514 billion in sales in 2023, demonstrating that connectivity efficiency is a key driver of productivity [5] - The fourth industrial revolution, characterized by AI, is reshaping labor dynamics, with data indicating a 40% reduction in cashier demand at Walmart due to self-checkout systems, and a 60% decrease in manual quality inspection roles at Tesla [6] Group 3 - The labor market is undergoing a quantum leap in cognitive differentiation, with only 12% of companies successfully adapting to cognitive restructuring, leading to a rapid decline in traditional roles and the emergence of new positions like AI trainers [9] - The article discusses the concept of cognitive penetration in business, where companies that deeply understand their tools can better meet customer needs, as exemplified by Adobe's approach to its products [10] Group 4 - Historical patterns indicate that each revolution serves as a "survivor game" where cognitive evolution speed determines survival quality, with examples from industrial giants like General Electric and Amazon [12] - The article suggests that individuals can navigate the AI era by developing a three-dimensional cognitive framework, focusing on data asset awareness, mastering AI tools, and enhancing human-machine collaboration [12] - The future outlook stresses that embracing cognitive evolution is essential for individuals and companies to thrive in the evolving economic landscape, with a call to integrate technology ecosystems for competitive advantage [13]