Tuesday, August 11, 2026

Today's science and technology news gives me the feeling that it is like a lively drama, with climaxes, lows, surprises, and troughs. First of all, we have to talk about the winners of the Hundred Flowers Award. Yi Shou Qianxi and Wei Shiya were awarded the best actress of the Best Actor. As soon as this result came out, it instantly exploded the Internet. To be honest, there are opinions about the Hundred Flowers Award every year, and this time is no exception. Some people say that it represents public taste, while others complain that it lacks professionalism. But no matter what, the existence of the Hundred Flowers Award at least proves that the film market is still active, which in itself is a good thing.

Let's talk about the death of actor Qin Yan. This news makes people sigh. Qin Yan is an old actor. His acting skills are deeply rooted in the hearts of the people, and the characters he creates are deeply impressive. His death is undoubtedly a huge loss to the entire film and television industry. This also reminds me that in the entertainment industry nowadays, traffic is king, and many actors ignore the importance of acting skills. Qin Yan's death may give us a warning.

Next, we need to talk about the topic of China-Capital connectivity. In recent years, more and more high-scoring students have chosen to fill in the Chinese-language comprehensive examination. What are the reasons behind this? I think this is mainly because the integration of China-based schools has the following advantages: First, the education system is more complete, and students can have access to undergraduate learning content earlier; second, the channel for further studies is smoother, and students can determine themselves at the secondary vocational stage. Development direction; third, the training model is more flexible, and students can choose courses that suit them based on their interests and specialties. However, there are also some problems in the connection between China and the Capital, such as uneven distribution of educational resources and the need to improve the teaching quality in some schools.

Finally, I want to talk about Xiaomi's strategic intentions in the field of artificial intelligence. The original ByteDance robot No. 1 joined Xiaomi to be responsible for the development of the base model. This is undoubtedly an important layout for Xiaomi in the field of artificial intelligence. Xiaomi hopes to achieve greater breakthroughs in the field of artificial intelligence through this cooperation. However, competition in the field of artificial intelligence is fierce, and Xiaomi needs to make more efforts if it wants to succeed in a short period of time.

In general, today's science and technology news includes both lively entertainment news and profound social topics. These news reflect the development trend of science and technology, and also let us see the close connection between science and technology and human life. In this process, we need to keep a clear mind, view these news rationally, draw useful information from it, and bring more convenience to our lives.

Xiaomi recruited Kong Tao, the original ByteDance robot, and rumored that he brought original team members. This is not just a flow of talent, but Xiaomi's strategic position in the field of artificial intelligence, especially in the direction of Embodied AI. Kong Tao was once the "No. 1 position" of the robot team at ByteDance, responsible for the development of base models, which shows that Xiaomi is seeking breakthroughs from the underlying technology and building the core competitiveness of its robot product matrix. This is highly consistent with the current general trend in the AI field, especially the penetration of large language models (LLMs) and multimodal models into specific application scenarios.

We have seen that AI is changing from an "assistant" role to an "executor". Tencent's WorkBuddy, Everyone is a Product Manager discussions on AI Office Agents, and Meta's open source Muse Glimmer model all point to AI's future. A more proactive role in the workflow. Kong Tao's joining means that Xiaomi not only wants the robot to "understand" the instructions, but also wants the robot to "perform" the task and perform it based on a powerful base model. This echoes Xiaomi's long-standing concept of "universal technology". They hope to bring advanced AI capabilities into thousands of households and even industrial scenarios through robots as a carrier.

This move has far-reaching implications. First, it will accelerate Xiaomi's AI integration capabilities in the smart hardware ecosystem, especially in its smart homes and possible future smart travel. Secondly, for the entire tailored intelligence industry, this marks that giants are moving from pure model development to practical application implementation, and competition will shift from "model capabilities" to "implementation scenarios" and "user experience." Half a year ago, we might have been discussing whether AI can generate more realistic images or smoother videos, but now the focus has shifted to how AI can stably perform complex tasks, even as Meta's Muse Glimmer emphasized "always-on local agent workflows."

However, risks also follow. The first is the challenge of technological integration. Combining base model development with robot hardware and execution capabilities is not easy and requires in-depth collaboration across fields and long-term R & D investment. The second is market acceptance and cost issues. High-performance robots and powerful AI models mean high R & D and manufacturing costs. How to get consumers to pay and how to find a large-scale business model will be key issues that Xiaomi needs to solve.

Another trend worthy of attention is the "inclusion" and "dimension reduction" of AI in the field of content production and creativity. Although the popular movie Hundred Flowers Awards and the death of actors still dominate the traffic, the progress of AI-generated content (AIGC) has not stopped. The launch of xAI Imagine Image 2.0, as well as the various model iterations mentioned in the AI Internet Daily, indicate that AI is making rapid progress in image, text and even video generation, and has begun to get involved in content distribution and monetization, such as bean bags recommending hotels. Charge. This trend will further impact the traditional content creation industry, but it also provides content creators with new tools and ideas.

On a deeper level, the "involution" of AI in the content field may lead to the intensification of the information cocoon room, just as the argument that the gap between people in the AI era may first come from the information cocoon room. When AI can generate highly customized content based on individual preferences, the world of information received by different individuals may become increasingly fragmented. For developers, projects like OmniRoute aim to integrate numerous AI models and services on the market and lower the threshold for use. This reflects the fragmentation and complexity of the AI application ecosystem. Developers are working hard to build an "AI pipeline", making AI capabilities easier to be called and combined.

In general, Xiaomi's investment in specific intelligence and the rapid penetration of AI in content generation and workflow indicate that we are in an era where AI capabilities are accelerating and application boundaries are constantly expanding. Future competition will be more reflected in how AI integrates with specific scenarios, how to truly solve user pain points, and how to build a sustainable business model. In this process, the game between technology and ethics, efficiency and fairness will continue to be played out.

Among today's technological signals, there are two clues that are particularly worthy of being pulled out for calm review: one is the arms race in AI infrastructure, and the other is the so-called education bubble of "China-Capital Integration". The two may seem irrelevant, but in fact they are both overdrawing future credit, but in different ways.

Let's talk about AI first. The first position of the ByteDance robot Kong Tao jumped to Xiaomi, behind which the entire industry's fanatical pursuit of the "pedestal model." Xiaomi's Robot Division has only 200 people, but it is responsible for the development of base models. This in itself reveals an anxiety-hardware companies suddenly discovered that if they do not master the underlying capabilities of AI, they can only work for others. But are pedestal models really a lifeline for hardware companies? Historically, every time the technological paradigm shifts, the first to fall are often those who "catch the last train". Nokia also made Symbian's dock back then. What happened? The threshold for research and development of base models is extremely high, which not only requires huge amounts of money, but also requires a continuous data closed-loop and application ecosystem. It is doubtful whether Xiaomi can support this important task with a scale of 200 people. More importantly, the commercialization path of the pedestal model is not yet clear, and all investment today is based on the expectation that "someone will pay in the future." This expectation is largely supported by the bubble in venture capital and the secondary market. Once the bubble bursts, the pedestal model may become another bottomless pit of "burning money for growth."

In contrast to the AI arms race is the popularity of "Nakamoto Tongtong." The high score examinee piles up to fill in, seemingly is the success of the education reform, actually exposed the whole society to the academic record inflation collective anxiety. The logic behind this is simple: seven years for a bachelor's degree seems to be more "safe" than the college entrance examination. But there are several overlooked risks. First of all, there are huge differences between the teaching systems of secondary vocational schools and undergraduate courses, and forced integration may lead to "under-cooked meals"-students have neither mastered vocational skills nor laid a good academic foundation. Secondly, the gold content of undergraduate diplomas is devaluing. As more and more students obtain academic qualifications through "shortcuts", the scarcity of academic qualifications will decrease, and ultimately the students themselves will be injured. The most terrifying thing is that this model will further solidify social classes. High-scoring candidates "lock in" their academic qualifications through the integration of secondary education, while low-scoring candidates are forced to enter lower-end vocational education, further diluting educational fairness. In the final analysis, China-based integration is not an innovation in education reform, but a speculative response to academic anxiety. It cannot solve the fundamental problem of uneven distribution of educational resources, but may aggravate social stratification.

There is a common logic behind these two phenomena: overdraft of the future. What the AI base model overdraws is the confidence of the capital market, and what China and Capital are overdraws is the credit of the education system. The result of overdrafts will ultimately be paid by ordinary people. When the AI bubble bursts, a group of startups may fall, but when the bubble connecting China and Capital burst, a generation of students will be injured. Technology and education, which should have been the twin engines of social progress, have now become amplifiers of capital and anxiety. This is the real place worthy of vigilance.