AI infrastructure investment tiers. I believe Google will undoubtedly surpass Nvidia. ✅Tier 5: AI-native Applications and Services This refers to new applications and services developed entirely based on AI, including intelligent assistants, content generation, smart office, and creative tools, that directly create value for end users or businesses. ✅Tier 4: Software Infrastructure This includes software platforms and tools that provide underlying support for AI applications and large models, including cloud computing services, AI development platforms, distributed computing frameworks, and API platforms, helping developers and businesses build and deploy AI systems more efficiently. ✅Tier 3: Model-Based Companies Focus on developing and training large-scale, highly versatile AI models (such as general-purpose large language models and multimodal models). These models can be widely applied and redeveloped, driving various AI innovations. ✅Tier 2: Data Centers This includes the data storage and computing infrastructure required for large-scale AI computing, including cloud data centers, edge data centers, and various high-performance GPU/AI computing server clusters. It serves as the "computing engine" of the AI industry. ✅Tier 1: Chips (Semiconductors/AI Chips) Various high-performance processors, including GPUs, AI-specific chips, CPUs, and FPGAs, provide the underlying hardware support for AI computing. They are the core hardware foundation for efficient AI computing. ✅Tier 0: Energy Infrastructure Providing stable, large-scale power, energy storage, and renewable energy for AI data centers and computing clusters is the "energy foundation" that sustains the entire ecosystem in the AI era.

I have a fatal flaw: I tend to overthink things. For example, when I invest in companies, I imagine scenes of industry logic closing, complete with roaring drums and blasting firecrackers. These assumptions have generally been proven correct by past investment results. These companies have all developed as I envisioned, though some are developing faster and some slower. Foxconn Industrial Internet took just two years to achieve this. But with some companies, I invested in them at the first sign of potential, only to find no one paid attention to my logic. After a year or two of languishing, my logic suddenly materialized in the market. I think the key to solving this problem lies in integrating position management with industry cycles. Be less dreamy and more pragmatic. My dreams about Tesla were a bit too big; otherwise, the US stock would have doubled in just three months.

My US stock holdings hit a new high today. I didn't spend much time researching the stocks. I simply bought hot stocks when they plummeted and sold them when they surged. The main reason for the doubling of my holdings is that Tesla is my largest holding, while many other stocks have doubled. The entry point from April this year to now is a rare, once-in-a-few-years rally in the US stock market. Technical skills are unnecessary. These good times won't last long; everyone's betting on when the drumbeat will stop.

In the financial market, when all the good news (favorable news) has been known to the market and reflected in the price, if there is no more good news, investors will choose to take profits.

If you want to make as much money as possible, and become wealthy in a certain, predictable way over your lifetime, stay current with social trends, study technology, design, and art—and become truly proficient at something. -Nawal

[Priority Order] Prioritize the timing of key work for each sector. 2026-2027: Cyclical reversal and state-owned enterprise consolidation drive a counter-involutionary market. 2027-2029: AI, energy storage, and digital industries experience rapid growth. 2029-2030: Consumption and green technology take over as the primary growth drivers.

[Opportunities in the 15th Five-Year Plan] The 15th Five-Year Plan (2026–2030) will trigger a market reversal across multiple industries. According to research reports from brokerage firms and international investment banks, the most structural opportunities are concentrated in five key sectors: industrial recovery from internal involution, independent technological innovation, green and low-carbon development, consumer service upgrades, and restructuring of central SOEs. For example, if pig farming costs exceed pig prices, this situation will be addressed through "anti-involution" measures to reduce excess capacity and restore prices, allowing cyclical industries to enter a period of consolidation and upward growth. Beneficiary sectors include steel, cement, chemicals, coal, non-ferrous metals, and agricultural product processing. [Technology and New Productivity Sector] Independent scientific and technological innovation is the biggest source of policy dividends during the 15th Five-Year Plan. Key areas include artificial intelligence, integrated circuits, new energy, high-end equipment, and industrial digitalization. Beneficiary Industries: AI algorithms + computing power ("Eastern Data Western Computing"), chip manufacturing, biotechnology, robotics, and aerospace. 2026-2027: Cyclical reversal and state-owned enterprise consolidation will lead the anti-involutionary market. 2027-2029: AI, energy storage, and digital industries will see rapid growth. 2029-2030: Consumption and green technology will take over as the main growth drivers.

Using the Comet browser to read Twitter provides real-time access to global data for in-depth analysis and research. For example, the AI's conclusion: Phyrex's assessment of different holding groups, "high-net-worth investors are more likely to bottom-fish smoothly, while retail investors are more aggressive," is highly accurate, fully consistent with the actual market conditions in October 2025, based on current price behavior, public sentiment trends, and holdings distribution data. This view has been widely confirmed in multiple dimensions. You can confidently conclude that large funds are more rational and moderate in bottom-fishing during adverse market conditions, while ordinary investors tend to be impulsive and experiment with short-term strategies. This pattern is widely reflected in global data and discussions. @Phyrex_Ni AI says Phyrex's assessment of different holding groups, "high-net-worth investors are more likely to bottom-fish smoothly, while retail investors are more aggressive," is highly accurate, fully consistent with the actual market conditions in October 2025, based on current price behavior, public sentiment trends, and holdings distribution data. This view has been widely confirmed in multiple dimensions.

[State Cold Violence] In "The Sovereign Individual," the author proposes the core concept of "diminishing returns to violence" to explain the diminishing incentives for the state, a violent apparatus, to wage violent wars or control individuals in the information age. As productivity becomes increasingly dematerialized and degeographical, wealth exists primarily in the form of information and knowledge, making it difficult to seize this wealth through traditional violent means. So, violence exploits your wealth through new methods, such as threatening you to buy gold or sell your stocks during market fluctuations. I call this state PUA, "state cold violence." As investors, we shouldn't be wary of hot violence; its destructive power actually yields very low returns. This is why I rarely invest in military stocks. Cold violence is different. It could have allowed Yellen to sail a yacht at 19.

Your position is so fragile