July 3, 2026 | Source: Xiangming Technology | About 10 minutes to read
On July 3, "Four college students set questions and AI scored 0" trended on Baidu Hot Search. At first glance it looks like clickbait saying "AI is not good enough," but in fact it reveals a deeper issue in the fields of AI and education.
According to media reports, four college students designed a set of "tricky" exam questions that were interdisciplinary, highly reasoning-intensive, and required the comprehensive use of multiple knowledge points to solve. Multiple mainstream AI large models collectively "failed," all scoring 0 or close to 0.
The deeper value of this matter is not "how many points AI scored," but that young people have already begun to think about "what kinds of questions AI cannot answer." This is precisely the core direction of education reform — shifting from knowledge memorization to the cultivation of higher-order thinking and innovation ability.
For students: AI tools can quickly provide standard answers, but they cannot replace humans' creative thinking and cross-domain associative ability. The core competitiveness of the future is no longer "how much you know," but "what good questions you can ask."
For the education industry: AI forcing a transformation of education models is no longer theoretical speculation, but a real demand. According to industry data, China's AI education market is expected to exceed 80 billion yuan in 2026, and adaptive learning systems and intelligent assessment tools are becoming standard in classrooms.
For enterprises: This means that when recruiting, companies will pay more attention to candidates' critical thinking and innovation ability, rather than the simple accumulation of knowledge and skills. Training systems also need to shift from "teaching knowledge" to "teaching methods."
The Verge reported that Anthropic's long-shelved Fable 5 project has been approved for restart. Although Anthropic is known for the Claude series of models, the Fable project represents another important front in its AI safety research and exploration of frontier technology.
The core idea of the Fable series is "validating AI alignment theory through controllable experimental environments." At a time when competition in large models is white-hot, Anthropic's restart of this project shows that:
"AI filmmaking becomes the norm — will humans really be replaced?" — this question has once again sparked public discussion with the release of multiple AI-generated film and television works. From AI actors' emotional expression to fully AI-generated short films winning awards at film festivals, AI's presence in content creation is growing stronger.
Our view:AI will not replace creators, but it will eliminate creators who do not know how to use AI. Just as photography did not replace painting, but gave rise to new art forms. AI lowers the technical threshold for content production, but good stories, unique perspectives, and emotional resonance remain the core advantages of human creators.
The spread of AI video generation tools is reshaping the film and television production process:
This means small and medium-sized content teams can also produce works that previously required large budgets, and an era of "a hundred flowers blooming" in the content industry is arriving.
Combining the industry trend data collected that day, the AI field in the second half of 2026 shows the following key directions:
After the "Hundred Model War" of 2024-2025, the industry consensus in 2026 is clear—the value of large models lies not in the models themselves, but in application implementation. Enterprise-level AI Agents are accelerating in adoption, from intelligent customer service to code assistants, from data analysis to process automation; agentification is the core path for the commercialization of large models.
As a representative of China's AI open-source force, DeepSeek's technical route has gained widespread recognition from the international community. This not only reflects China's AI technical strength, but also provides global developers with a "Chinese option." In the second half of 2026, more enterprise-level applications based on DeepSeek are expected to emerge.
"Low-code platform + AI: software development efficiency increases by 300%"—this is no longer a promotional slogan, but industry data that has already been verified. AI-assisted code generation, intelligent testing, and automated deployment are changing every link in software development. For enterprises, this means the cost and cycle of digital transformation will be greatly reduced.
The WeChat Mini Program ecosystem is upgrading, opening AI capabilities to developers. For millions of Mini Program developers, this means they can access AI functions such as natural language processing, image recognition, and intelligent recommendations at extremely low cost. This move will accelerate the penetration of AI technology into consumer-facing applications.
The Internet of Things + AI (AIoT) market exceeded one trillion in scale in 2026. Smart communities, smart homes, and industrial IoT are the main growth engines. AI makes sensor data no longer "dead data," but "living capabilities" capable of autonomous decision-making.
Traditional ERP systems are being replaced by AI-native architectures. The new generation of enterprise management systems is no longer a "data recording tool," but an "intelligent decision-making engine." In its practice in smart communities and smart offices, Xiangming Technology has deeply felt this shift: customers are no longer satisfied with "data visualization," but require "the system to make recommendations or even automatically execute based on data."
Cross-border e-commerce SaaS tools are experiencing explosive development, and AI product selection and intelligent customer service have become standard for companies going global. Through AI analysis of overseas consumer behavior, prediction of hit product trends, and automatic generation of multilingual customer service replies, the efficiency of companies going global has been significantly improved.
Apple Vision Pro is driving a new wave of spatial computing application development. Although the headset market is exploding more slowly than expected, the impact of spatial computing on the application development paradigm is profound—from two-dimensional screen interaction to three-dimensional spatial interaction, developers need to learn entirely new interaction design concepts.
Prediction one: Education + AI moves from auxiliary tool to core transformation
The "AI scored 0" incident is only the beginning. The education industry will undergo a comprehensive transformation from "what to teach" to "how to teach." AI is not replacing teachers, but pushing education back to its essence of "cultivating independent thinking ability."
Prediction two: AI safety alignment moves from behind the scenes to the front stage
Fable 5 restarts, giants scramble for philosophers—AI safety is no longer just a discussion in academic papers, but has become a core element of product competitiveness. When enterprises procure AI services, "trustworthiness" will become a more important consideration than "capability."
Prediction three: AI Agents reshape the enterprise software landscape
From ERP to CRM, from customer service systems to data platforms, all enterprise software will be redefined by AI Agents. The SaaS industry is about to be reshuffled, and traditional vendors unable to provide AI-native experiences will face a survival crisis.
Prediction four: China's AI ecosystem enters the global export stage
The demonstration effect of DeepSeek's open source, the leading advantage in the AIoT market, and the global expansion capability of cross-border e-commerce SaaS—China's AI is moving from "following" to "running alongside," and in some areas has already achieved "leading." In the second half of 2026, more Chinese AI companies will step onto the global stage.
In response to the AI industry hotspots in July 2026, the following keywords have high search value and commercial conversion potential:
About Xiangming Technology: Xiangming Technology is committed to providing enterprises with AI intelligent solutions, with business covering smart communities, smart offices, AI customer service, cross-border e-commerce SaaS, and other fields. Follow us to get the latest AI industry developments and in-depth interpretations.
Some information in this article comes from Baidu Hot Search, The Verge, and public industry reports | This article is for learning reference only and does not constitute investment advice
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