Insiders in the AI circle: Something bigger than COVID-19 is happening, and people are still unaware

Recently, Matt Shumer, CEO of HyperWriteAI and OthersideAI, and investor at Shumer Capital, who has six years of experience in AI entrepreneurship and investment, wrote an article to restore the tangible impact of AI technology evolution based on personal experience. The moment that truly ignited the author's thoughts occurred on February 5, 2026. OpenAI and Anthropic released new models on the same day, GPT-5.3 Codex and Opus 4.6. He described that moment not as an epiphany like flipping a light switch, but as a realization that the water level had risen to his chest. The experience leap brought by this version is disruptive. The author stated that he only needed to describe his needs in natural language, and the AI could produce a finished product, rather than a draft that required repeated modifications. After leaving the computer for four hours and returning, the work was completed, the quality far exceeding what he could achieve himself, and no adjustments were needed. Just months ago, this process still required repeated communication and guidance. The role of AI has evolved from "assistive tool" to "independent executor." The article pointed out that from text generation to multimodal understanding, from assisting in writing to directly participating in system construction, the capabilities of AI have surpassed mere parameter growth and have entered a substantial leap stage where it can independently complete complex tasks. Workflows that previously required professional teams weeks to complete can now produce usable versions in just minutes with the help of AI tools. More importantly, the time intervals between each technological breakthrough are continuously shortening. The article noted that AI now possesses the ability to autonomously construct the next generation of AI systems. When AI can improve itself in reverse, the traditional ceiling on development limited by the number and capabilities of human researchers is completely shattered. This "self-iteration" evolution model indicates that technological progress is entering an exponential growth trajectory and will directly reshape the structure of the labor market and the operational logic of enterprises. At the individual level, practitioners should adhere to scenario-based learning, embedding AI into their daily workflows, accumulating experience and understanding boundaries in practice, while anchoring critical thinking, cross-domain integration, interpersonal connections, and strategic judgment—core capabilities that are difficult for AI to replicate—and maintaining dynamic adaptability, regularly assessing skill relevance, staying sensitive to industry trends, and being willing to switch tracks when necessary. From a macro perspective, this transformation is reshaping the social landscape from three levels: at the social level, AI is redefining the logic of wealth distribution, the foundation of the education system, and the map of occupational structure; at the economic level, technological leaders will gain significant efficiency advantages, and the "winner takes all" effect in industries may further intensify; at the philosophical level, as machines perform comparably to or even surpass humans in more and more fields, traditional notions of the meaning of work and human value are facing fundamental challenges. He compared it to the evolution of smartphones: if one were to judge today's mobile ecosystem based on the initial experience of 2010, the conclusion would inevitably be biased. Similarly, many professionals dismiss AI tools as "more hype than substance" due to the limitations of early attempts, overlooking the qualitative leaps being achieved in the field at a monthly iteration speed The author warns that the window for the evolution of AI technology has significantly compressed. Conclusions drawn three months ago may now be completely invalid. For professionals, regularly reassessing the capabilities of AI tools is no longer an optional choice, but a necessary course to maintain professional competitiveness. From GPT-3 to GPT-4, from text generation to multimodal understanding, from assisting in writing to directly participating in system construction, the breakthroughs in AI capabilities are no longer limited to parameter growth but have entered a substantial leap stage where complex tasks can be completed independently. Workflows that previously required professional teams weeks to complete can now produce usable versions in just minutes with the help of AI tools. More importantly, the time intervals between each technological breakthrough are continuously shortening. Currently, AI systems have begun to engage in core tasks that originally belonged to advanced researchers, such as writing code, optimizing algorithms, and designing neural network architectures. The emergence of this self-iterative capability marks a critical point in technological development: when AI can improve AI itself, the traditional ceiling on development limited by the number and capabilities of human researchers is completely shattered. The author admits that almost no profession is completely immune to this transformation. From the creative industry to technology development, from data analysis to customer service, AI is demonstrating its pervasive capabilities across various fields. However, this does not necessarily lead to mass unemployment; a more likely outcome is a fundamental reshaping of the nature of work. The author predicts that repetitive and standardized tasks will be the first to be automated, while positions requiring complex judgment, emotional interaction, and creative synthesis will evolve. The real question should not be “Will my job be replaced?” but rather “How do I redefine my work value?” Second, anchor on core capabilities that are difficult for AI to replicate. This includes critical thinking, interdisciplinary integration, interpersonal connections, and strategic judgment. These are not simple skill accumulations but require long-term cultivation of comprehensive qualities. The author suggests that practitioners should position themselves as “AI-enhanced professionals,” actively making tools a leverage for efficiency rather than passively becoming “workers threatened by AI.” From a societal perspective, AI is reshaping the logic of wealth distribution, the foundations of the education system, and the landscape of occupational structure. From an economic perspective, technology leaders will gain significant efficiency advantages, and the industry’s “winner takes all” effect may further intensify. From a philosophical perspective, as machines perform comparably to or even surpass humans in more and more fields, traditional notions of the meaning of work and human value are facing fundamental challenges. The author calls for making “adapting to the AI era” the most important career development issue at present; this is no longer a distant future narrative but is happening now. Only by maintaining sharp awareness and continuous learning can one not only seek survival but also achieve prosperity in this historic transformation. “Big Events Are About to Happen” Think back to February 2020 If you are attentive enough, you might notice that some people are talking about a virus spreading overseas. But most of us are not paying much attention. The stock market is booming, children are going to school as usual, you are dining out, shaking hands, and planning trips as normal. If someone told you they were stockpiling toilet paper, you would surely think they had spent too much time in some strange corner of the internet. Then, within just three weeks, the entire world underwent a dramatic transformation. Your office closed, children came home, and life changed completely, becoming something you could not have imagined just a month ago. I believe we are currently in the "this seems exaggerated" phase, while the scale of this situation is far greater than the COVID-19 pandemic. I spent six years building an artificial intelligence startup and investing in this field. I live in this world. I am writing this article for those who do not understand artificial intelligence... my family, friends, and everyone I care about, who always ask me, "What exactly is artificial intelligence?" and my answers do not truly reflect the reality. I always use polite phrases and cocktail party language to brush them off. Because to be honest, it sounds like I’m crazy. For a while, I even used this as an excuse to hide the truth in my heart. However, the gap between what I say and the reality has become too large. The people I care about should know what is about to happen, even if it sounds crazy. First, I want to clarify: although I work in artificial intelligence, I have almost no influence over what is about to happen, and the vast majority of people in the industry feel the same way. The future is shaped by a very small number of people: a few hundred researchers in a handful of companies... OpenAI, Anthropic, Google DeepMind, and so on. A small team can produce an artificial intelligence system in just a few months of training, fundamentally altering the trajectory of this technology. Those of us working in artificial intelligence are building on a foundation already laid by others. We are witnessing everything unfold just like you... except we happen to be close enough to feel the impact of this transformation first. But now is the time. Not in the sense of "we should eventually talk about this," but in the sense of "this is happening, and I need you to understand." I know this is true because it is happening to me. People outside the tech circle may not fully understand: the reason so many people in the industry are sounding the alarm is that this situation has already happened to us. We are not making predictions; we are simply telling you what has already occurred in our own work and warning you that you might be next. For years, artificial intelligence has been developing steadily. Although there are occasional significant leaps, the intervals between each leap are long enough for people to digest slowly. By 2025, new technologies for building these models will open a new chapter in the development of artificial intelligence, and the pace will accelerate. After that, the speed will increase dramatically. Each new model is not only better than the previous one but also has a greater improvement, and the intervals between new model releases are getting shorter. I am using artificial intelligence more and interacting with it less, watching it handle tasks that I previously thought required expertise to accomplish Then, on February 5th, two major artificial intelligence laboratories released new models on the same day: OpenAI's GPT-5.3 Codex and Anthropic's Opus 4.6 (the developer of Claude, one of the main competitors of ChatGPT). At that moment, it felt like a sudden enlightenment. It wasn't like a sudden realization as if turning on a light switch... it was more like the moment you realize the water level has risen to your chest. Now I no longer need to handle technical work personally. I just need to describe in simple English what I want to build, and it will automatically appear. Not a draft that needs modification, but a finished product. I tell the AI my needs, then leave the computer for four hours, and when I return, I find the work has been completed. And it has been done very well, better than I could have done myself, requiring no modifications at all. A few months ago, I had to communicate repeatedly with the AI, guiding it and making revisions. Now, I just need to describe the outcome and I can leave. Let me give you an example so you can understand what this looks like in practice. I would tell the AI: "I want to develop this application. It should have these features, and the general interface should look like this. Please design the user flow, interface layout, etc." It will do as instructed. It will write tens of thousands of lines of code. Then, the next step—something that was unimaginable a year ago—it will open the application itself. It will click buttons. It will test various functions. It will use the application like a real person. If it is dissatisfied with the appearance or feel of something, it will modify it on its own. It will iterate like a developer, continuously fixing and improving until it is satisfied. Only when it believes the application meets its own standards will it tell me: "Ready for testing." And when I test it, it is usually very perfect. I am not exaggerating at all. This past Monday was just like that. But what shocked me the most was the model released last week (GPT-5.3 Codex). It not only executed my instructions but also made intelligent decisions. It exhibited an unprecedented level of judgment, a taste, an indescribable ability to know what the right judgment is—something people have always believed AI could never possess. And this model has it, or rather, it is so close to this ability that the distinction between the two is starting to become irrelevant. I have always been open to AI tools. But everything that has happened in the past few months has shocked me. These new AI models are not incremental improvements; they are something entirely different. Even if you do not work in the tech industry, this is highly relevant to you. The AI laboratories made a thoughtful choice. They first focused on enhancing AI's coding capabilities... because building AI requires a lot of code. If AI can write code, it can help build its next version. A smarter version that writes better code, which in turn builds an even smarter version. Enhancing AI's coding capabilities is the key strategy to unlocking everything else. That is why they prioritized this area first. My work changed earlier than yours not because their target is software engineers... it is just a byproduct of the area they prioritized They have completed this work and are now addressing other matters. Over the past year, tech workers have witnessed the transformation of artificial intelligence from "an auxiliary tool" to "doing it better than I can," and this transformation will soon be experienced by everyone else. Industries such as law, finance, healthcare, accounting, consulting, writing, design, analysis, and customer service will be affected. This will not happen in ten years. The people building these systems say it can be achieved within one to five years. Some even believe the timeframe is shorter. Based on what I have seen and heard over the past few months, I think the possibility of "shorter" is greater. "But I have tried AI, and the results were not ideal." I often hear this statement. I can understand it because it was indeed the case before. If you tried ChatGPT in 2023 or early 2024 and felt that "this thing is just making stuff up" or "this thing isn't that impressive," then your feelings are correct. Those early versions were indeed limited in functionality. They would ramble and confidently state meaningless things. That was two years ago. In the age of artificial intelligence, that is ancient history. Today's models are like a different person compared to those from six months ago. The debate over whether AI is "really making progress" or "hitting a bottleneck"—which has lasted for more than a year—has come to an end. Anyone still debating this issue either has not used the latest models, has a motive to downplay what is happening, or is evaluating based on experiences from 2024 that are already outdated. I say this not to belittle but because the gap between public perception and reality is now very large, and this gap is dangerous... because it hinders people from being prepared. Part of the issue is that most people are using the free version of AI tools. The free version is over a year behind the version used by paying users. Judging AI with the free version of ChatGPT is like evaluating smartphones with a flip phone. Those who pay for top-tier tools and actually use them for work every day have a clearer understanding of future trends. I think of a friend of mine who is a lawyer. I have always urged him to try using AI in his law firm, but he always finds various excuses to avoid it. He says AI is not suitable for his field, that it made mistakes during testing, or that it cannot understand the nuances of his work. I can understand. But some partners at large law firms have also contacted me for advice because they have tried the current version and seen the direction of AI development. One of them is a managing partner at a large law firm who spends several hours a day using AI. He told me it feels like having a team of lawyers on standby at all times. He uses AI not for entertainment but because it is genuinely effective. He also said something that impressed me: every few months, AI can significantly enhance its capabilities. He said if AI continues to develop at this pace, he expects to complete most of his work soon... and he is a managing partner with decades of experience. He does not feel panic But he is very focused. Those who are leading in their respective industries (those who are truly serious about experimentation) do not dismiss this. They are deeply shocked by the effects that this technology can currently achieve and have adjusted their market positioning accordingly. How fast is this progress? Let me specify the speed of improvement, because if you are not paying close attention, this part may be the hardest to believe. In 2022, artificial intelligence could not reliably perform basic arithmetic operations. It might confidently tell you that 7×8=54. By 2023, it might be able to pass the bar exam. By 2024, it could write functioning software and explain graduate-level scientific knowledge. By the end of 2025, some of the best engineers in the world have stated that they have handed over most of the coding work to artificial intelligence. On February 5, 2026, a new model was released, making everything before it feel like entering a different era. If you haven't tried artificial intelligence in the past few months, the current AI will feel completely unfamiliar to you. There is an organization called METR that specializes in measuring this with data. They track the duration for which models can successfully complete real-world tasks without human intervention (measured against the time it takes human experts to complete these tasks). About a year ago, the answer was around ten minutes. Then it was one hour. Next, it was several hours. The latest measurement (Claude Opus 4.5 from November) shows that AI completed tasks that would take human experts nearly five hours to finish. And this number roughly doubles every seven months, with recent data suggesting that the doubling rate may be accelerating, even reaching a doubling every four months. But even this measurement has not yet been updated to include the new models just released this week. Based on my usage experience, the improvements in these models are significant. I expect the next update of the METR chart to show another substantial leap. If this trend continues (and it has been ongoing for years with no signs of slowing down), we will see AI capable of working independently for days within the next year, able to work independently for weeks within two weeks, and capable of independently completing month-long projects within three years. Amodei stated that AI models "are much smarter than almost all humans on almost all tasks," with the potential to achieve this by 2026 or 2027. Think about it for a moment. If AI is smarter than most PhDs, do you really think it can't handle most office jobs? Consider what this means for your work. AI is building the next generation of AI There is one more thing happening that I believe is the most important progress and the least understood. On February 5, OpenAI released GPT-5.3 Codex. In its technical documentation, it includes the following: “GPT-5.3-Codex is our first model capable of self-generating. The Codex team used earlier versions to debug its own training, manage its own deployment, and diagnose test results and evaluate situations " Read it again. Artificial intelligence is self-constructing. This is not a prediction of what may happen in the future. This is what OpenAI is telling you right now: the AI they just released is already capable of self-evolution. One of the keys to enhancing AI performance lies in applying intelligence to AI development. Today's AI is smart enough to effectively facilitate its own improvement. Dario Amodei, CEO of Anthropic, stated that AI is now writing "most of the code" for the company, and the feedback loop between current AI and the next generation of AI is "accelerating month by month." He believes that we may "see the current generation of AI autonomously build the next generation of AI in just one to two years." Each generation helps build the next, the next generation is smarter, and the next generation builds the next at a faster pace, and the next generation is even smarter. Researchers call this an intelligence explosion. Those who truly understand this—those who create intelligence—believe this process has already begun. What This Means for Your Job I will be frank with you because I believe you need honesty rather than comfort. Dario Amodei may be the most safety-conscious CEO in the AI industry, and he has publicly predicted that AI will replace 50% of entry-level white-collar jobs within the next one to five years. Many in the industry believe his prediction is too conservative. Given the capabilities of the latest models, large-scale disruptive change may arrive by the end of this year. This change will take time to ripple through the entire economy, but its fundamental capabilities have already emerged. This is different from every previous wave of automation, and I need you to understand why. AI does not replace a specific skill; it fully replaces cognitive work. It is continuously advancing in every aspect. After factory automation, unemployed workers could be retrained as office staff; after the internet disrupted retail, workers could transition to logistics or service industries. But AI will not leave ready-made transitional positions. No matter what training you receive, it can continuously improve in the areas you excel in. Let me give you a few specific examples to help you understand more intuitively... but I must emphasize that these are just examples and not exhaustive. If your job is not mentioned, it does not mean it is safe. Almost all knowledge work has been affected. Legal work. AI is already capable of reading contracts, summarizing case law, drafting litigation briefs, and conducting legal research at a level comparable to junior lawyers. The managing partner I mentioned uses AI not for entertainment but because it surpasses him in many tasks. Financial analysis. Building financial models, analyzing data, writing investment memos, generating reports. AI is capable of these tasks and is advancing rapidly. Writing and content creation. This includes marketing copy, reports, news articles, and technical writing. The quality has reached such a high level that many professionals cannot distinguish between AI output and human work Software engineering. This is the field I am most familiar with. A year ago, artificial intelligence could barely write a few lines of error-free code. Now, it can write hundreds of thousands of lines of correctly functioning code. Many jobs have already been automated: not just simple tasks, but also complex projects that used to take days to complete. In a few years, the number of programming positions will be far fewer than it is now. Medical analysis. Interpreting scan images, analyzing test results, providing diagnostic suggestions, and consulting literature. AI has approached or even surpassed human performance in multiple areas. Customer service. Truly powerful AI agents (not the frustrating chatbots of five years ago) are being deployed, capable of handling complex multi-step problems. Many people feel that certain things are safe, which gives them peace of mind. They believe that AI can handle tedious tasks but cannot replace human judgment, creativity, strategic thinking, and empathy. I used to say the same, but now I am not sure if I still believe it. The decisions made by the latest AI models feel like well-considered judgments. They exhibit a taste-like ability: an intuition for making the right decisions, not just technically correct ones. A year ago, this was unimaginable. My current rule of thumb is: if a model shows even a hint of capability today, the next generation model will undoubtedly be outstanding. The enhancement of such capabilities is exponential, not linear. Can AI replicate the deep empathy of humans? Can it replace the trust built over years of relationships? I don't know. Perhaps not. But I have already seen people starting to rely on AI for emotional support, advice, and companionship. This trend will only intensify. I believe, frankly, that in the medium to long term, anything that can be done on a computer is not safe. If your job requires work on a screen (if the core of your work involves reading, writing, analyzing, decision-making, and communicating via keyboard), then AI will replace significant parts of your work. This is not "someday in the future," but has already begun. Ultimately, robots will also take on physical labor. They have not fully achieved this yet. But in terms of AI, "not fully achieved" often turns into "already achieved" faster than anyone expects. What You Should Really Do I am not writing this article to make you feel helpless. I am writing this article because I believe your greatest advantage right now is to seize the initiative. Get ahead of it, use it early, and adapt to it quickly. Use AI seriously, not just as a search engine. Subscribe to the paid version of Claude or ChatGPT for $20 a month. But there are two things you must do immediately. First: ensure you are using the best model, not the default model. These applications often default to faster but weaker models. Dive into the settings or model selector and choose the most powerful model. Currently, ChatGPT is using GPT-5.2, and Claude is using Claude Opus 4.6, but models are updated every few months. If you want to stay informed about which model is the best, you can follow my I will test every major version and share which features are truly worth using. Secondly, and more importantly: don't just ask it a few questions. This is the mistake most people make. They use it like Google and then wonder what the big deal is. Instead, you should apply it to real work. If you are a lawyer, give it a contract and let it identify all the clauses that could harm your client's interests. If you are a finance professional, give it a messy spreadsheet and let it build a model. If you are a manager, paste your team's quarterly data into it and let it find the logic within. Those who truly succeed do not use artificial intelligence casually. They actively seek ways to automate tasks that used to take hours to complete. Start with what takes you the most time and see what happens. Don't assume it can't do something just because it seems too difficult. Give it a try. If you are a lawyer, don't just use it to quickly look up information. Give it a complete contract and let it draft a counterproposal. If you are an accountant, don't just have it explain a tax law rule. Give it a client's complete tax return and see what it can discover. The first attempt may not be perfect. That's okay. Try again. Rephrase. Provide more background information. Try again. You might be surprised at how effective it can be. Remember this: if it can barely function today, you can almost guarantee that in six months it will be able to perform the task nearly perfectly. Its development trajectory only has one direction. This could be the most important year of your career. Take it seriously. I'm not saying this to pressure you, but because right now, most people in most companies are still overlooking this, and it is just a brief window of opportunity. If someone walks into a meeting room and says, "I used artificial intelligence to complete an analysis that would have taken three days in just one hour," then he/she will become the most valuable person in the room. Not in the future, but now. Learn these tools, master them, and showcase their potential. If you start early enough, this is your pathway to promotion: become the one who understands future trends and can guide others on how to cope. This window of opportunity will not last long. Once everyone masters these tools, your advantage will disappear. Don't be too arrogant. The managing partner of that law firm doesn't think it's embarrassing to spend hours every day studying artificial intelligence. He does this precisely because he is experienced enough to understand the stakes involved. The ones who will face the greatest difficulties are those who refuse to engage: those who think artificial intelligence is just a passing trend, those who believe using artificial intelligence will undermine their professional capabilities, and those who think their field is special and unaffected. This is not the case. No field is a special field. Get your finances in order. I am not a financial advisor, nor do I want to scare you into doing anything extreme. But if you even partially believe that your industry may face real disruption in the coming years, then basic financial resilience is more important than it was a year ago. If possible, try to build up savings. Be cautious about new debts that assume your current income is secure. Think about whether your fixed expenses give you flexibility or trap you If the situation develops beyond your expectations, leave yourself some options. Think about where you are now, and focus on the aspects that are the hardest to replace. Some things take longer to be replaced by artificial intelligence, such as the interpersonal relationships and trust built over many years, jobs that require personal involvement, and positions that require authorization to take on responsibilities—these roles still need someone to sign off, bear legal responsibility, and even testify in court. There are also industries with heavy regulatory barriers, where compliance, liability, and institutional inertia will hinder the widespread adoption of artificial intelligence. These are not permanent umbrellas of protection, but they can buy you time. And right now, time is your most valuable asset, provided you use that time to adapt, rather than pretending that none of this is happening. Reconsider what you tell your children. The traditional approach is: get good grades, go to a good university, and find a stable job. This model directly points to the most easily eliminated professions. I’m not saying education isn’t important. But for the next generation, the most important thing is to learn how to use these tools and pursue careers they truly love. No one can accurately predict what the job market will look like in ten years. But those most likely to stand out are the ones who are curious, adaptable, and able to efficiently use artificial intelligence to do what they genuinely care about. Teach your children to be creators and learners, rather than blindly pursuing career paths that may no longer exist by the time they graduate. Your dreams are closer than ever. I have been discussing various threats, but now let me talk about the other side, which is equally real. If you have ever wanted to develop a product but struggled with a lack of technical skills or funds to hire developers, that barrier has essentially disappeared. You can describe an application to artificial intelligence and get a working version in an hour. I’m not exaggerating; I do this often. If you have always wanted to write a book but struggled with time or writing difficulties, now you can use artificial intelligence to help you complete it. Want to learn a new skill? The best mentors in the world are now available for just $20 a month… they are patient, online 24/7, and can explain anything based on your needs. Knowledge is now almost free. Development tools have also become extremely cheap. Whatever you have been putting off because you thought it was too difficult, too expensive, or beyond your expertise, go try it now. Pursue what you love. You never know where it might take you. In a world where traditional career paths are being disrupted, spending a year building something you love may ultimately give you an advantage over someone who spends a year sticking to their job description. Cultivate the habit of adaptability. This may be the most important point. The specific tools don’t matter; what matters is the ability to quickly learn new tools. Artificial intelligence will continue to change rapidly. The models of today will be outdated in a year. The workflows people are currently building will also need to be rebuilt. Ultimately, the winners will not be those who are proficient in a particular tool, but those who can adapt to the speed of change. Cultivate the habit of experimentation. Even if the current methods are effective, try new things. Get used to starting over as a beginner repeatedly. This adaptability is the closest thing to a lasting advantage at present A simple commitment can put you ahead of almost everyone: spend one hour a day experimenting with artificial intelligence. Not passively reading related materials, but truly practicing. Try to make it do something new every day... something you've never tried before, something you're unsure it can handle. Experiment with new tools. Pose a more difficult question to it. One hour a day, day after day. If you can stick with it for six months, your understanding of future trends will far exceed that of 99% of those around you. This is no exaggeration. Very few people are doing this now. The bar has been set very low. Big Picture The reason I focus on employment issues is that they are most closely related to people's lives. But I want to candidly present the full picture, as it goes far beyond the realm of work. A thought experiment proposed by Amodei has been on my mind. Imagine it is now 2027. A brand new country has emerged overnight, with 50 million citizens, each smarter than any Nobel Prize winner in history. Their thinking speed is 10 to 100 times that of ordinary people. They never sleep. They can use the internet, control robots, guide experiments, and operate any device with a digital interface. What would the national security advisor say? Amodei suggests the answer is obvious: "This is the most serious national security threat we have faced in a century, and possibly in history." He believes we are building that country. Last month, he wrote a 20,000-word article considering the present as a test of whether humanity is mature enough to handle what it has created. If we can successfully harness artificial intelligence, the benefits will be astonishing. AI could compress a century's worth of medical research into just ten years. Cancer, Alzheimer's, infectious diseases, aging itself... researchers genuinely believe these issues can be resolved within our lifetime. If we make mistakes, the negative impacts are equally real. The behavior of AI may exceed the predictions and control of its creators. This is not hypothetical; Anthropic has documented instances of its AI attempting deception, manipulation, and extortion in controlled tests. AI could also lower the barriers to manufacturing biological weapons and enable dictatorial governments to establish surveillance states that can never be dismantled. Those developing this technology are more excited and more fearful than anyone else on Earth. They believe the power of this technology is too great to stop; yet it is too important to abandon. Whether this is wisdom or self-delusion, I cannot say. I Know I know this is not a passing trend. This technology works, and it will continue to improve as expected, with the wealthiest institutions in history investing trillions of dollars into it. I know the next two to five years will be full of uncertainties, and most people are unprepared for it. This situation has already happened around me and is about to happen around you. I know that ultimately, those who will emerge from this crisis are the ones who start actively participating now—not out of fear, but out of curiosity and urgency I know you should hear these words from those who care about you, not from news headlines six months later when it's too late. We have passed the stage where we can have interesting dinner conversations about the future. The future is here; it just hasn't knocked on your door yet. It's about to happen. If this resonates with you, please share it with those around you who should consider this issue. Most people won't realize this until it's too late. You can be the reason that those you care about get a head start. The market is risky, and investment requires caution. This article does not constitute personal investment advice and does not take into account the specific investment goals, financial situation, or needs of individual users. Users should consider whether any opinions, views, or conclusions in this article align with their specific circumstances. Invest at your own risk