Friday, May 22, 2026

The most worthy thing to talk about today is AI's implementation competition in the vertical field. DeepSeek's Harness team benchmarking Claude Code, Ant Medical AI's differentiated positioning, and Google Gemini Flash rollover. These things are particularly interesting when combined-the big model arms race has finally entered the bayonet battle stage.

Seriously, it's no longer interesting to build a universal model. Now everyone is thinking about how to really put AI into specific scenarios to make money. DeepSeek, the Harness team, has something to do. They didn't call for the strongest base model, but directly copied Claude Code. This idea is so right! Engineers need a code assistant out of the box, not another big model API. However, there is a trap here: code scenarios require abnormally high accuracy, and any model that makes low-level mistakes will die on the spot. I bet they would have to deal with complaints like "Why can't the generated code run" every day for the first half of the year.

The ants are more interesting. Afu takes the warm route to focus on third-tier city aunts, while hydrogen ion takes the professional route to please doctors. This move accurately steps on the Achilles heel of medical AI-toC must be cute, and toD must be pretentious. But the most dangerous thing in the medical scene is compliance risk. If you make a little nonsense about your model, you may be sued. Looking at those AI consultation products that have been hyped up, 90% of them end up becoming an electronic version of the Compendium of Materia Medica. Very few can pass the approval of the Food and Drug Administration.

Google's rollover is simply textbook. In order to fight for speed and reduce costs, the model was cut into a disabled person. As a result, the user found that the product was fast, but his brain was not very good. This exposes a common problem in the industry: everyone is comparing benchmark data, but the user experience is a mess. I have seen too many AI products. They were amazing when demonstrated, but actually used like a mentally retarded person. Nowadays, investors are becoming more and more sophisticated, and the concept of Agent in PPT is no longer useful. They have to be able to really help people work.

A large number of AI startups will die in the next six months. There are only two kinds of people who can survive: either they fight vertical scenes like DeepSeek, or they layer the product like ants. Ordinary developers don't rush to chase new models, first use existing APIs clearly before talking. There is no urgent need to commercialize it. Look at Tesla's FSD hype for so many years, isn't it still "about to enter China"?

Among today's scientific and technological signals, the red bayberry soaking medicine controversy and the dynamics in the AI field interweave two thought-provoking themes: food safety and technological innovation. On the one hand, Fujian's bayberry industry has fallen into a reputation crisis due to illegal addition of preservatives and sweeteners, reflecting the severe challenges of food safety supervision; on the other hand, DeepSeek has formed a Harness team to benchmark Claude Code, indicating that AI technology is moving from research and development to application, bringing unlimited possibilities for industrial transformation.

The waxberry soaking medicine controversy exposed problems in the field of food safety. Driven by interests, some merchants add contraband in violation of regulations in order to maximize profits regardless of consumer health. This not only harms consumer rights, but also undermines the normal order of the industry. In this regard, regulatory authorities need to strengthen food safety supervision and increase illegal costs. At the same time, they need to strengthen industry self-discipline and advocate honest management. In the long run, promoting the upgrading of the food safety industry and developing green, healthy and sustainable food production models are the fundamental ways to solve the problem.

In the field of AI, DeepSeek formed a Harness team to benchmark Claude Code, marking that AI technology is moving from a laboratory to an application. This is not only DeepSeek's own development needs, but also a sign that China's AI industry is maturing. With the popularization and application of AI technology, all industries will benefit. However, this also puts forward higher requirements for enterprises and individuals: not only need to master AI technology, but also need to have the ability to apply technology to actual scenarios. In this process, those who understand business, technology, products, customers, and can still turn problems into results will become the backbone of the industry.

Although the red bayberry bubble medicine storm and the dynamics in the AI field seem to be incompatible, they all point to a core issue: how to ensure safety and sustainable development while pursuing efficiency and innovation. For the bayberry industry, strengthening supervision, improving quality, and ensuring safety are the top priorities. For the AI industry, promoting technological innovation, promoting application implementation, and realizing industrial transformation are the key.

In short, today's technological signals remind us that while enjoying the convenience brought by scientific and technological progress, we should also pay attention to the social issues behind it. This is true for both food safety and the development of AI technology. Only by properly handling these problems can technology truly benefit mankind.

Among today's science and technology signals, there are several thought-provoking events. They not only reflect the current trend of scientific and technological development, but also reveal the potential risks and challenges.

First, DeepSeek formed the Harness team to benchmark Claude Code, marking a key step in the commercialization of China's AI industry. This is undoubtedly a positive signal, which means that China AI companies have begun to shift from theoretical research to practical applications, and are committed to transforming AI technology into specific products and services. However, this has also raised questions about "technological superpowers". In the field of AI, it is important to pursue "speed" and "efficiency", but what is more important is to ensure the quality and reliability of technology. If you simply pursue speed and ignore quality, it may lead to problems with the product in practical applications, thus affecting the user experience.

Secondly, the introduction of the FSD supervisory version of Tesla's autonomous driving software in China and the news that SpaceX has invested more than US$15 billion in starship rockets highlight the increasingly fierce competition in the fields of autonomous driving and space exploration. The development of autonomous driving technology is of great significance for improving traffic safety and reducing traffic accident rates, but it also brings risks in terms of data security and privacy protection. Although SpaceX's space exploration plan demonstrates mankind's infinite desire for space exploration, its high cost and potential technical risks cannot be ignored.

In addition, the release of Xiaomi YU7GT and the announcement of Vipshop's first-quarter earnings report reflect the competitive trend of the technology industry in the consumer electronics and e-commerce fields. The release of Xiaomi YU7GT means that competition in the smartphone market in China is becoming increasingly fierce, and major manufacturers are constantly increasing their product innovation and performance improvement. The outstanding performance of Vipshop's first-quarter financial report shows the strong vitality and development potential of the e-commerce platform. However, while pursuing market share and performance growth, e-commerce platforms also need to pay attention to user experience and after-sales service to avoid falling into the dilemma of "seeking profits".

To sum up, today's technological signals reflect the following trends and problems:

QKPFX0 The QKAI industry is making progress in productization, but it needs to pay attention to technical quality and reliability; 2. autonomous driving and space exploration are highly competitive, requiring attention to data security and potential risks; 3. Competition in the consumer electronics and e-commerce fields has intensified, and attention needs to be paid to user experience and after-sales service.

While science and technology are developing rapidly, we need to maintain a calm and rational attitude and pay attention to the values, problems and risks behind technology to ensure that scientific and technological development can benefit mankind.