Author: BruceBlue, former GP researcher at Bing Ventures. How did Serenity, a mysterious figure, earn over 225% in 2 years? He uses Checkpoint Theory to identify the irreplaceable physical switches in the AI era. He uses bottom-up supply chain reverse engineering to find bottlenecks. Before making any investment assumptions, he engages in heated debates with various AI models to identify potential vulnerabilities and limitations, comparable to a top-tier investment IC. Foreword: In the past few months, if you've been following the secondary market for AI infrastructure, it's hard to avoid one name: Serenity @aleabitoreddit. A former trader permanently banned from Reddit WallStreetBets (WSB), he switched platforms, using an anime female avatar, and amassed over 300,000 followers in less than a year. A single tweet from him can cause FTSE 250 constituent stocks to surge nearly 90% in two days. His research has been cited by Bloomberg and Reuters, and even hedge funds are copytrading his work. The market is marveling at his staggering 22,561.99% return over the past two years, or questioning his unverifiable background: "former AI research scientist," "Nature paper author," "RISC-V Foundation member," and even claiming he turned down a job offer to lead NVIDIA's AI team when NVIDIA's stock price was only around $6 in 2018. But what truly matters isn't his dazzling numbers, nor whether he actually published a paper in Nature. What truly matters is that he provided a paradigm for reverse engineering the AI era and successfully exploited information asymmetry in the institutional blind spots of Wall Street. At the core of this paradigm, he calls it the Chokepoint Theory. From WSB Gambler to Supply Chain Detective: A Turnaround in Identity. Let's start with the background. His story began in early 2022 on the popular Reddit retail investor forum r/wallstreetbets (WSB). His account at the time was called AleaBito, reflecting the distinct characteristics of a WSB retail investor, enthusiastic about high-leverage, high-risk, and highly entertaining options and IPO trading. He once traded a staggering $175,000 worth of one-sided "YOLO" options during the eToro ($ETOR) IPO, based on a technical chart that resembled a "bluefin tuna belly (Toro)." In his Hims & Hers Health ($HIMS) trading, he allocated a $100,000 position based on the "Gym Bro Formation." Furthermore, when AMD ($SMCI)'s stock price was at a low point, he accurately predicted that its stock price would break through $120 based on the development of liquid cooling technology. The turning point occurred in early 2022.He published an in-depth fundamental research report on Crystal Technology (AXTI), a compound semiconductor substrate manufacturer, on the WSB. At the time, AXTI's market capitalization was only $200 million, and its stock price was around $12. Because the report's professionalism clashed with the speculative atmosphere of the forum at the time, the moderator permanently banned the account on the grounds of "deliberately manipulating public opinion" and "pumping and dumping." Subsequently, driven by a surge in demand for compound semiconductors and optoelectronic substrates, AXTI soared to $70, achieving a paper profit of over 1000%, becoming the researcher's "definitive battle" in his investment career. This ban directly led to his migration to the X platform, and after renaming it "Serenity," he completely focused his investment efforts on the "bottleneck" links in core semiconductor hardware and the precision supply chain. Core Framework: Finding the "Strait of Hormuz" in the AI Era. Most Wall Street sell-side institutions view AI from a top-down perspective. They stare at Nvidia, Microsoft, and Google, calculating trillions of dollars in Capex guidance, and engaging in fierce mathematical modeling games around the next quarter's revenue. Serenity's perspective is bottom-up. It employs a supply chain reverse engineering model. Using NVIDIA's H100 and B200 GPU supercomputing clusters as the physical origin, it deconstructs the supply chain layer by layer until it uncovers physically irreplaceable, ultra-micro components or raw materials monopolized by a single or very few companies. These highly segmented areas operate quietly outside the spotlight of trillion-dollar market capitalizations, yet a supply disruption could paralyze the entire downstream AI industry cluster. Serenity refers to these nodes as "choke points," comparing them to the Strait of Hormuz, which controls global oil routes, or the perilla leaf, an indispensable yet overlooked ingredient in high-end Ginza kaiseki cuisine. Integrating physical and geographical coordinates, Serenity has constructed a sophisticated global semiconductor "choke point" physical and geopolitical map. This map not only spans US, Taiwanese, European, and Japanese stock markets but also integrates the geographical coordinates of the production facilities of each major player in the supply chain, technological patent barriers, geopolitical risks, and export control policies of various countries. When new geopolitical conflicts, export bans, or financial report disclosures occur, it can quickly pinpoint specific physical nodes on the supply chain map and leverage its highly concentrated stock positions to make highly certain directional bets. Adversarial AI Proof-of-Stake Testing: Before officially releasing any investment hypotheses, Serenity employs a unique "red-blue adversarial" proof-of-stake process.He would input research drafts into different large language models, commanding the AI to act as an extremely demanding "Devil's Advocate," specifically picking out flaws in the investment logic, technical and physical limitations, threats from alternative solutions, and potential valuation deviations. Only after passing multiple rounds of technical and logical scrutiny from the AI would he publicly release the report. In Serenity's supply chain map, the physical evolution of data center AI computing infrastructure is its core investment theme, highlighting the physical barriers of silicon photonics and co-packaged optics (CPO). With the exponential growth of large language model parameters, the interconnection of GPU clusters with tens of thousands, hundreds of thousands, or even millions of GPUs has become a physical bottleneck for computing power expansion. Under extremely high data throughput, traditional copper cable interconnects are facing insurmountable physical limits: high-frequency electrical signals transmitted through copper media experience extremely high attenuation, uncontrollable electromagnetic interference, and high power consumption and heat dissipation burdens. To break through this "copper wall," the "optical-to-copper" process—converting electrical signals into optical signals for high-bandwidth, low-latency transmission—has become an essential path for AI infrastructure construction. At the forefront of this physical layer revolution is the "Co-Packaged Optics" (CPO) architecture, led by giants like TSMC and Nvidia. The core idea of CPO is to directly integrate photoelectric conversion chips and core computing chips onto the same multi-chip package substrate, shortening the transmission distance of electrical signals within the package to the millimeter level. In 2026, Serenity further expanded its "bottleneck" strategy to the geopolitical competition between humanoid robots and rare earth elements. The supply chain gap between the software "brain" and the hardware "body" has also been widening. While discussions about Tesla's Optimus largely focus on AI algorithms and large models, a crucial physical fact has been overlooked: the US is losing the hardware and materials manufacturing race for humanoid robots. The "brain" of the humanoid robot remains in the US, but the "body" components responsible for movement (joints, actuators, reducers, etc.) are almost entirely controlled by Asian manufacturers. Serenity, citing Morgan Stanley's demand forecasting model, quantifies the potential "demand tsunami" in the rare earth sector: if the global number of humanoid robots reaches 1 billion by 2050, their consumption of core rare earth resources will create a catastrophic "demand tsunami." Serenity emphasizes that for Western capital to ensure supply chain security, it must channel billions of dollars of heavy capital into rebuilding the domestic rare earth refining ecosystem.Based on this, he listed three key physical sectors that must be closely monitored: magnetic metals, structural metallurgy, and computing, sensing, and power systems. In-depth analysis: Three dimensions of cognitive arbitrage. Raspberry Pi $RPI: Relative value game model. When the market viewed Raspberry Pi as a declining educational component manufacturer, Serenity captured the dramatic shift in the AI developer ecosystem: a large number of startups were snapping up Raspberry Pis as physical isolation bases for deploying "AI intelligent agent swarm control systems." If you were buying an Apple Mac Mini, this hoarding frenzy would have been insignificant in Apple's $3.7 trillion market capitalization; but for Raspberry Pi, with a market capitalization of only £500 million, it was a disruptive boost. Valence Semiconductor $VLN: Quantitative code collision information gap arbitrage. $VLN has $93.5 million in net cash, zero debt, a gross margin guidance of approximately 60-62%, and has secured a Mercedes-Benz OEM contract, yet its market capitalization is only $253 million. Serenity discovered a physical bug: a "trading code collision error" in mainstream global quantitative stock selection scanners, which confounds $VLN's data with the Toronto Stock Exchange's energy stock $VLO, causing severe distortion of key indicators. He precisely listed the deviations, guiding funds to "clear the mines" and reassess. Nebius Group $NBIS: Deep Bottom Capture in Mechanical Panic As a leading European AI-dedicated cloud service provider, $NBIS's stock price plummeted to $95 due to algorithmic selling pressure caused by early complex convertible bond conversion mechanical hedging arbitrage. Serenity pointed out that this was a "mechanical panic without fundamental factors." At a price of $95, the market was giving an extremely absurd discount to a company with 2026 revenue guidance of $3-3.4 billion (nearly 6 times growth) and billions of dollars in net cash. Retail Capital Synergy and Potential Structural Risks In Serenity's framework, retail investors are no longer simply "leeks" providing liquidity or blindly following the crowd, but are reshaped into an "expert retail investor synergy network." Traditional WSBs rely on short-term option gamma squeezes or emotional memes to drive surges. In contrast, Serenity, through its completely free, technically demanding hardcore analysis, provides a deep "intellectual filter" for followers. This highly specialized capital collaboration enables them to quickly form a united front in many extremely inactive, remote micro-cap markets globally, beyond the reach of Wall Street giants, to dominate the pricing of core assets. Regulatory blind spots and information asymmetry arbitrage: Analysts at large institutions are constrained by internal compliance, minimum market capitalization thresholds (such as not covering stocks under $1 billion), and regional specialization (US stock analysts don't write research on Sweden or Taiwan). This creates a huge research vacuum in the global supply chain.Serenity, acting as a completely anonymous independent researcher, disregarded market capitalization and geographical barriers, directly guiding global bullish capital to violently fill these vacuum areas. Structural Risks and Potential Game Theory Dilemmas: However, blindly following this strategy comes with unavoidable fatal risks: Liquidity Traps: Micro-cap stocks have extremely low daily trading volumes. A surge occurs instantly when retail investors rush in; if the technology's implementation falls short of expectations, the extremely narrow exit channel will lead to a violent stampede. Polarized Public Opinion and Accusations of "Market Manipulation": Veteran short sellers sharply criticize its essence as a "pump and dump" strategy disguised as high-IQ academic manipulation. Its game theory characteristic of using massive public opinion to attract retail investors to drive up prices has long exposed it to compliance accusations. The "Fatal Minefield" of Single-Path Dependence on Physical Technology: All of Serenity's core positions are built on the assumptions that "CPO is the only physical evolution path" and "humanoid robots will see a billion units produced." This is a high-stakes gamble. If Nvidia discovers insurmountable engineering deadlocks in CPO and adopts advanced thin-film copper cables, or if the West fails to rebuild the rare earth separation chain, its entire supply chain empire built on silicon photonics, SOI, MBE equipment, and heavy rare earths will be instantly disintegrated at the physical level. In conclusion: Focusing on Serenity with a geek-like, in-depth approach to finance isn't about finding a get-rich-quick scheme, but about gaining an analytical framework that breaks consensus. In this age of information overload, the most common mistake retail investors make is trying to outpace institutions in information acquisition or trading in already fully priced macroeconomic data. Serenity demonstrates another possibility: using reverse engineering to deconstruct systems, using AI as a "devil's advocate" to challenge one's own logic, and seeking out the silent gears that truly control the system's operation. You don't need to become the next Serenity. You don't need to buy any of the stocks he buys. But you should learn to ask the same question he asked: In this system, who is the silent, irreplaceable physical switch? If you can answer this question, you already have a perspective beyond 99% of market participants. All that remains is for the market to catch up with your understanding. Disclaimer: This article does not constitute any investment advice. All background information regarding Serenity is self-reported and has not been verified by a third party. His past performance is not indicative of future results. Please conduct independent research before making any investment decisions. NFA. DYOR. [BruceBlue]