In today's technology circle, there are three things that are most worth noting: DeepSeek's Harness, memory chip price hikes, and Want Want, a veteran snack giant, the life and death moment. These three things may not seem to be consistent, but they all point to a core issue-how fast is the iteration speed of technology and business models? So fast that no one can keep up.
Let's start with DeepSeek's Harness. This thing has reached 50,000 stars in 12 hours after it was launched, not because it is so divine, but because it solves a real pain point: AI developers 'workflows are too fragmented. Today's AI engineers are like children standing in a pile of Lego, with a pile of parts in their hands, but they don't know how to spell them. Harness's ambition is to turn models, tools, Skills and other parts into plug-ins, allowing developers to assemble AI applications like building blocks. It sounds great, but there is a big hole in engineering-stability. Actual measurements show that long tasks collapse as soon as they run, which shows that the underlying scheduling and fault tolerance mechanisms are not yet mature. For ordinary developers, getting started with Harness now is more like participating in internal testing rather than directly using it for production. But this direction is right, because the future of AI development must be modular and composable. DeepSeek made the run this time not to make money, but to slot in. There is still a long way to go to commercialization, but whoever defines the standards first will be able to eat the biggest cake in the next wave.
Let's talk about the price increase warning of memory chips. Cui Taiyuan of SK Group said that the supply gap of memory chips will be the largest in 2027, and customers are rushing for goods. Behind this is the explosive growth in AI computing power demand. The $250 billion data center project of Nvidia and OpenAI has now been cut to $120 billion, not because the project failed, but because the risks were too great. What Nvidia is playing now is using its own balance sheet to leverage market demand. This move is tough, but it is also dangerous. If the AI bubble bursts, Nvidia may become the next "AI version of Cisco." What does this mean for ordinary developers? This means that storage and computing power costs will continue to rise, and your cloud service bills will become more and more expensive. If you are working on AI-related projects now, it's best to start thinking about how to optimize storage and computing efficiency, otherwise you may be overwhelmed by costs in the future.
Finally, Wangwang. This company, which has relied on rice fruits and milk candies for 30 years, has finally been awakened by the market. Chairman Cai Yanming's internal letter was very straightforward: there was no innovation, no change, and customers had fled. Netizens complained that Want Want's biggest competitor is sugar. Although this was mean, it hit the point. Want Want's problem is not whether to reduce sugar, but that the entire business model is aging. The challenge that traditional food companies are now facing is not competitors, but changes in consumer habits. Young people don't like snacks anymore? No, they don't like your snacks anymore. Want Want Wang's current self-rescue is more like hospice care. Layoffs, sugar reduction, and marketing gimmicks all address the symptoms but not the root cause. The real solution is a comprehensive innovation from products to channels. But the 30-year inertia cannot be changed overnight. Want Want's story is a warning to all traditional companies: no matter how big a brand is, it cannot withstand the wear of time.
Taken together, these three things share a common theme-the iteration speed of technology and markets has far exceeded the adaptability of most companies. DeepSeek's Harness is innovating the AI development model, the price increase of memory chips is reshaping the cost structure of computing power, and Want Want's crisis is a collective dilemma for traditional companies in the new era. For developers, this means both opportunities and risks. The opportunity is that whoever can seize the dividends of new technology will stand out in the next wave. The risk is that if you are still doing things in the same old way, you may not even have a chance to keep up. The cruelty of the business world is that it will not show you mercy just because you are an established company. Want Want today may be the tomorrow of many companies.