Tuesday, August 4, 2026

Among today's hot events, Ruixing store employees feeding with butter guns, Henan's "three supports and one support" exam cheating incident, and the rise of AI short dramas. These seemingly unrelated incidents actually point to the current society's deep-seated problems in moral, educational and technological development.

The incident in which employees at Ruixing stores used butter guns to feed food reflects unhealthy phenomena in the workplace culture. This kind of behavior not only violates the basic etiquette of the workplace, but also exposes the chaos of internal management in some companies and the lack of norms for employee behavior. Behind this lies the lack of workplace ethics and the neglect of employee rights and interests. If this phenomenon is not effectively stopped, it will seriously damage the workplace environment and damage the corporate image.

The cheating incident in Henan's "three supports and one support" exam is a reflection of the problem of social integrity. Cheating in exams is not only a trampling on fair competition, but also a destruction of social integrity. Such incidents must be dealt with seriously in accordance with the law to serve as an example. At the same time, we must also reflect on the education system and selection mechanism to prevent such incidents from occurring at the source.

The rise of AI short dramas is a challenge brought by the development of science and technology. Although AI technology has brought new possibilities to content creation, it has also triggered discussions on issues such as copyright, actor rights and artificial intelligence ethics. The low hit rate of AI short dramas reflects that there is a certain gap between technological development and application needs. While pursuing technological innovation, we must also pay attention to the social impact of technology and ensure that technological development conforms to socialist core values.

These three incidents together reveal the current problems in society in terms of morality, education and scientific and technological development. Lack of morality, lack of integrity and technical ethical issues all pose challenges to social harmony and stability. Faced with these problems, we need to start from the following aspects:

First, strengthen workplace ethics education and improve the quality of employees. Enterprises should establish a sound internal management system, standardize employee behavior, and create a good workplace culture.

Second, strengthen the reform of the education system and improve the fairness of selection. In examinations, recruitment and other aspects, we must ensure fairness and justice so that everyone has the opportunity to realize value through their own efforts.

Finally, pay attention to the ethical issues brought about by the development of science and technology to ensure that technological development is in line with the interests of mankind. While promoting scientific and technological innovation, we must strengthen supervision of cutting-edge technologies such as artificial intelligence to ensure that technological development serves the sustainable development of human society.

In short, we cannot turn a blind eye to these signals. Only by facing problems can we promote social progress and achieve sustainable development.

What is most worth digging deep today is not a single incident, but a turning point signal emerging after several clues are put together: AI is comprehensively shifting from a "ability competition" to a "cost and engineering competition," and this turning point is simultaneously reshaping the model layer, content industry and enterprise organizational structure.

Let's look at the model layer first. OpenAI and Anthropic have finally entered a price war, which has been happening in the China market for a long time, but Silicon Valley's top companies have stayed out of it. The significance of this change is not the price reduction itself, but the change in the criteria for selecting models-from "who scores the highest score" to "who can complete the same Agent task at a lower cost." At the same time, Qwen3.8-Max, DeepSeek V4-Flash, and MiniMax-H3 have been launched in a centralized manner. Developers on V2EX are already careful to find a cheaper way to call DeepSeek. These signals are connected together to show one thing: model capabilities are rapidly converging, and the main battlefield of differentiated competition has shifted from parameters and running points to reasoning costs, invocation efficiency, and scenario fitness. Half a year later, we will see a significant drop in the loyalty of "model brands." Enterprises choose models just like choosing a Cloud Virtual Machine. They look at cost performance and SLAs rather than the demonstration effect at the press conference.

Let's look at the content industry. In the first half of the year, more than 200,000 AI short dramas were launched, but the hit rate was less than 5/1,000. This data is extremely honest-it reveals the core paradox of generative content: an explosion in production capacity on the supply side does not equal an increase in attention on the demand side. Actor Qi Ziqiao is conflicted about whether to sell portrait rights. This detail is more painful than the hit rate data, because it means that the "digital twin of people" has begun to change from concept to contract terms. But the real problem is that when content production costs approach zero, barriers to competition will move to two extremes: on one end, the monopoly power of distribution channels and recommendation algorithms, and on the other end, the creative scarcity that can truly resonate with emotion. "Skilled workers" in the middle-whether actors, writers or editors-will face the most direct squeeze.

The action of byte splitting flying books deserves a separate comment. The integration of the product team into Doubao and the integration of GTM into the Volcano Engine is not only an organizational adjustment, but also a declaration of the end of the "independent SaaS" narrative. When the core value of office tools changes from "collaboration processes" to "AI capabilities embedding," SaaS companies will either become front-end interfaces for MaaS companies or be eliminated. The fate of Flying Book actually predicts the reorganization logic of the entire To B arena: the entrance to enterprise software in the future will not be an application, but an Agent.

Putting these three lines together, Sister Vision's judgment is: In the second half of 2026, the narrative of the AI industry will completely shift from "what can be done" to "at what cost, in what process, and who will be responsible for doing it." Model companies need to learn from the refined operations of cloud vendors, content companies need to rediscover scarcity, and SaaS companies need to become the shell of Agents. Winners are those who master distribution and scenarios, and losers are those who are still selling "AI capabilities themselves."

Today in 2026, several themes are particularly eye-catching among the signals of science and technology news. The first is the cheating incident about Henan's "Three Supports and One Support" plan. This is not just a simple cheating issue. It reveals possible systemic loopholes and weak supervision in the public recruitment process. Next, we saw the rise of AI short dramas and the application of AI in the film and television industry. Behind this is the industry changes brought about by technological progress, but it also raised concerns about whether AI will replace human work. Finally, the price war for large models is quietly unfolding in Silicon Valley, which indicates that the commercialization of AI technology is accelerating.

The cheating incident in Henan's "Three Supports and One Support" plan exposed regulatory loopholes in public recruitment. In the current social environment, the fairness of public recruitment is crucial, which is related to social fairness and public trust. In this incident, the emergence of cheating not only damaged the fairness of recruitment, but also had an impact on social fairness. This requires relevant departments to strengthen supervision, improve systems, and ensure the fairness of public recruitment.

The rise of AI short dramas is an industry change brought about by technological progress. The application of AI technology makes content production more efficient and less costly. However, this has also raised concerns about whether AI will replace human work. In fact, the development of AI will not completely replace human work, but will change the way humans work. For actors, it is important to improve their overall qualities and adapt to changes in the industry, rather than worrying about the threat of AI.

The price war for large models is quietly unfolding in Silicon Valley, indicating that the commercialization of AI technology is accelerating. Behind the price war is the competition and layout of AI technology among major companies. However, price wars may also bring some problems, such as technology bubbles and waste of resources. Therefore, in the commercialization process of AI technology, it is necessary to balance technological innovation and commercial interests and avoid excessive pursuit of short-term interests.

To sum up, the impact, value, problems, and risks of these incidents are multi-faceted. The cheating incident in Henan's "Three Supports and One Support" plan reminds us to strengthen the supervision of public recruitment; the rise of AI short dramas requires us to pay attention to the impact of technological progress on the industry; the price war of large models requires us to balance technological innovation and commercial interests in the commercialization of AI technology. These events are worth our deep thinking in order to provide useful reference for future development.