The most noteworthy thing today is the arms race between domestic AI models. Ali released the Qwen3.7-Plus multimodal model, and together with the Step-3.7-Flash released two days ago, the domestic model has entered the 3.5-4.0 era. But this wave of upgrades has a fatal problem-they are all playing parametric games, and no one solves the actual implementation cost. Looking at the promotion of Step Step that "the cost is only 1/9 of Claude Opus 4.6", you can see that domestic manufacturers are still using cost performance as a fig leaf. What should really focus on is the lightweight model LFM2.5-8B that emerged on HF and the code knowledge mapping tool Understand-Anything that exploded on GitHub. These are the solutions that can truly fit into business flows.
Another hidden line is the explosion of the AI engineering tool chain. Flying Book CLI supports natural language operation documents, research-oriented Agents such as Tabstack, and the MySQL visual ER tool, indicating that the industry is moving from "alchemy" to "laying pipelines." The biggest pain point now is no longer model capabilities, but how to squeeze AI into existing workflows. Seeing that developers on V2EX are still discussing the sequelae and emotional issues of the COVID-19, we know that front-line code farmers have no time to chase new models. They want a screwdriver out of the box, not another graphics card.
The most ironic thing is the resurrection of Tianya Community. Today, when AI reconstructs content production and Xiaohongshu competes for World Cup copyright, this kind of emotional project is destined to be a performance art. But the problem reflected behind it is very real: the current Internet is either obsessed with the concept of AI, or it is eating old money and selling feelings, and the middle state cannot survive. Looking at the subscription pricing of bean buns of 68- 5,088 yuan, you know that even giants like Byte are using sickle to harvest anxiety instead of creating real value. What the technology community lacks most now is not innovation, but honesty-honesty to users, cost, and business logic.