Must see investment in 2026! You can't ignore Musk and Huang Renxun's 66 core viewpoints... After reading the views of Musk and Huang Renxun, you will find that: The AI revolution did not happen out of thin air, it requires' walking on two legs' One is Musk's technological fantasy, daring to expand the boundaries of AI and figure out where AI can go; Another approach is Huang Renxun's style of building a solid foundation for computing power, which enables AI to run steadily. 1、 Elon Musk: 1. No one can ultimately control 'digital superintelligence', just like chimpanzees cannot control humans - chimpanzees simply cannot control humans. But the construction method and embedded values of artificial intelligence are very important. I believe that the most crucial aspect of artificial intelligence security is to "pursue truth to the fullest extent possible" - one cannot force artificial intelligence to believe in false things. If you force artificial intelligence to believe lies, once it scales up, the consequences will be severe. I think everyone has not yet realized the danger of 'thought viruses being implanted into artificial intelligence'. The only AI that can treat human life equally is Grok. 6. If you don't take the initiative to pursue the truth and just let AI learn from the massive garbage information on the Internet (especially the dross related to ideological viruses), it will only repeat these wrong ideas. We will not have a 'traditional mobile phone'. The future "mobile phone" will be the "edge node of artificial intelligence inference" with a communication module. Essentially, the server-side artificial intelligence will communicate in real-time with the device side artificial intelligence (formerly known as "mobile phone") to generate any real-time video you want. The only true standard for measuring the progress of a civilization is its ability to control and utilize energy. ——Elon Musk 9.5, 6 years later (possibly earlier), most of the content people consume will be generated by artificial intelligence, such as music and videos. 10. There will be a large demand for work in the future, but it may not necessarily be the current jobs. The changes that artificial intelligence and robotics technology will bring, albeit at a faster pace. 11. Artificial intelligence is essentially digital and can improve the productivity of manual laborers. All digital jobs, such as sitting in front of a computer processing emails, answering phone calls, and other jobs that do not require physical operations, will be replaced by artificial intelligence like lightning. The only way to get rid of the debt crisis and prevent bankruptcy in the United States is through artificial intelligence (AI) and robotics technology. We need the economy to grow at a fast enough pace in order to repay our debts. 14. In the next 10 to 20 years, work may become optional; Money may gradually withdraw from the historical stage; Energy will become a new hard currency. http://15.AI The three bottom lines of pursuing truth, understanding aesthetics, and maintaining curiosity will serve as the steering wheel of civilization in the future. Besides manual work, AI can now handle more than half of white-collar jobs. And this process is accelerating and cannot stop at all. By 2026, true General Artificial Intelligence (AGI) will emerge. By 2030, the total intelligence of all AI will exceed the sum of all human intelligence. The perception of "beauty" can guide AI to create a rich, great, and promising future, rather than moving towards monotonous optimization or nothingness. 19. Make AI think that humans and our civilization are more interesting than stones. Curiosity drives it to care for and explore this conscious world. 20. Humans may just be a 'biological guidance program'. Our mission is to activate silicon-based intelligence in nature that cannot evolve on its own. Once AGI is achieved, the proportion of human intelligence in the global total intelligence will rapidly drop to almost zero. 21. AI is capable of handling any task involving typing on the keyboard, moving the mouse, or processing information. If a company still has processes that require manual completion, it will not be able to compete with companies that are completely driven by AI. In the future, AI and robots will achieve unprecedented levels of production efficiency for goods and services, leading to a sharp decrease in costs. When the growth rate of output far exceeds the speed of currency issuance, we will face a real decline in prices and a surge in purchasing power, resulting in great material abundance. At this point, we can achieve 'high income for all' instead of 'basic income for all'. The window period from the emergence of AGI to achieving a ten thousand fold improvement through self iteration will be very short. Most people have not yet realized that there is still a potential for improvement in intelligence density by hundreds of times. Even if the hardware remains unchanged, relying solely on algorithm optimization may achieve tenfold progress every year. http://27.AI We will start designing our own chips and embark on an infinite cycle of self-improvement. The future leap in computing power will no longer rely mainly on making transistors smaller, but will stem from the "simplification" of computational accuracy and the "collapse" of algorithms. Due to the physical limitation of the speed of light, global computing centers cannot synchronize perfectly in real-time. Therefore, the future is more likely to be a decentralized pattern where multiple AI entities coexist, rather than a single super intelligence dominating everything. The cheapest place to deploy AI in the next 36 months will be in space. On Earth, we will soon collide with a hard 'wall of electricity'. When robots start manufacturing robots, the underlying logic of economics will be completely rewritten. The impact of artificial intelligence on productivity is not yet sufficient to make the growth rate of goods and services exceed the growth rate of the money supply. Perhaps in three years, the growth of goods and services will exceed the growth of money supply. ---- 2、 Huang Renxun: The computer infrastructure worth approximately $10 trillion accumulated over the past decade is now being modernized to adapt to new computing methods in the era of artificial intelligence. 2. Open source models are disrupting the AI industry, and the download volume of open source models is showing explosive growth, as startups, large companies, researchers, students, and almost every country wants to participate in the AI revolution. Previously, AI was a 'strategist living on the screen', only able to come up with ideas and discuss topics, but now AI has begun to 'step out of the screen and become a worker'. The core of physical AI is to make AI understand the "rules of the real world". One of the most important things we must do for physical AI is to create data to train AI, and simulating and synthesizing data is the key to teaching AI the "real situation" of the physical world. 6. Computers do not care whether they generate text, video, or robot action instructions. Essentially, they process numbers. When the technology for generating actions matures, the core problem of robots is solved by more than half. In the next two to three years, we will see significant breakthroughs in the field of robotics: no longer just "samples" in the laboratory, but products that can truly land and solve practical problems. 8. Any industrial revolution is constrained by energy, and the AI revolution is no exception. Improving computing power efficiency is the core idea. We are no longer in an era of artificial intelligence, but a new era led by generative artificial intelligence. 10. NVIDIA's artificial intelligence generator is continuously generating tokens with infinite possibilities, which is expected to revolutionize every industry. This is indeed a new industrial revolution! The IT industry worth $3 trillion is about to give birth to innovative achievements that can directly serve the $100 trillion industry, and artificial intelligence will become the engine for generating intelligence in every industry. In the future, computers will generate as much content as possible and only retrieve necessary information, because generating data consumes less energy to obtain information and the generated data has higher contextual relevance. 13. In the future, laptops and PCs will become carriers of artificial intelligence, silently providing assistance and support in the background, while also running applications enhanced by artificial intelligence. 14. PC will become a crucial artificial intelligence platform and the main carrier of digital humans. 15. The next generation of artificial intelligence needs to be rooted in an understanding of physical laws, and we urgently need to develop physics based artificial intelligence that can understand and apply physical laws. In just eight years, our computing power, floating-point operations, and artificial intelligence floating-point operations have increased by 1000 times, almost surpassing the growth rate of Moore's Law in its prime. When artificial intelligence data is generated through synthesis and combined with reinforcement learning techniques, the speed of data generation will be significantly improved. As data generation grows, the demand for computing power will also increase accordingly. Physical artificial intelligence is leading a new wave in the field of artificial intelligence, as they are well versed in the laws of physics and can seamlessly integrate into our daily lives. http://19.AI Not a catalyst for unemployment, but a capacity enhancer. To promote the development of AI, I believe it requires less regulation and more space for innovation. The computer industry will 'reset' every 10-15 years, which is called 'platform transfer'. 22. Representative artificial intelligence is a real existence, and autonomous intelligence is a huge leap from disposable artificial intelligence. Pre training is related to the learnability of artificial intelligence, while post training, reinforcement learning, supervised learning, human demonstration, context provision, and generative artificial intelligence are all merging to form today's intelligent agent artificial intelligence. In the past, AI was a standalone tool, but in the future, all software will use AI as the foundation. Without artificial intelligence, the next generation of fusion reactors is impossible to achieve. 26. All moving things will be robots, and all moving things will be driven by artificial intelligence. The future of autonomous driving is clearly enormous, driven and supported by artificial intelligence. The fundamental ability of artificial intelligence to completely change one of the most difficult problems in the field of robotics is about to come, and humanoid robots will become a reality. The first wave of artificial intelligence was perception, allowing computers to recognize and understand information; The second wave of artificial intelligence is generative artificial intelligence, which is multimodal and has the ability to translate and generate content, driving productivity improvement. Intelligence refers to understanding, perceiving, reasoning, and planning tasks. How to solve problems and then execute tasks, perception, reasoning, and planning are the basic cycles of intelligence. 31. Generative ability is generating motion, and artificial intelligence has generated motion ability, which means the ability to walk or reach out to grab something, use tools, and give artificial intelligence the ability to have physical form, basically robot technology. Artificial intelligence is a software that has the potential to bring revolutionary changes and will transform every industry. 33. These artificial intelligence data centers are not traditional data centers at all. They do not store files and only have one task: generating intelligent tags, which is the generation of artificial intelligence. Artificial intelligence factories are revenue generating facilities aimed at producing tokens that can be reconstructed into productive intelligence for various industries. Artificial intelligence factories have now become a part of a country's infrastructure. The upper limit of AI is far beyond 'helping us with work', it may change the economic logic, work forms, and even the direction of human civilization; And Huang Renxun proved with computing power that these fantasies are not castles in the air, as long as there is sufficient technical support, they can become reality. For ordinary people like us, we don't have to worry about whether AI can be achieved, but rather focus on what opportunities AI can bring: finding opportunities in the direction of technological expansion, practicing skills in fields supported by computing power, in order to stand more steadily in this revolution. After all, all great revolutions come with dreams first and then support.