8:01 AM Kr: Eight listed companies collectively announce tax supplements; ChatGPT to undergo the largest upgrade in history; Gaokao adds AI invigilators, automatically captures abnormal video
The digital traffic landscape has, for the first time, been quietly seized by machines. 57.4% versus 42.6%—this is not a simple number, but a silent "traffic coup." Code-driven crawlers, AI agents, and automated programs are consuming the bandwidth and attention of the digital world at an unprecedented scale and pace. As we swipe our fingers across screens, the true "user" majority has become these tireless silicon-based lives. It feels like walking through a bustling market, only to realize tha
Analysis
This perhaps explains why OpenAI is in such a rush to turn ChatGPT into a "super app." When the broadest "user base" consists of machines, the ceiling for the value of a chatbot becomes clear. Therefore, the answer lies not in creating a better chatbox, but in becoming an "AI Agent" capable of performing tasks on your behalf—writing code, booking flights, managing schedules. Their massive investments in upgrading Codex and fierce competition for enterprise clients are essentially about securing a foothold for the imminent future dominated by AI Agents. The rules of this competition have changed; it's no longer about who can "talk" better, but about who can "act" more effectively. OpenAI, valued at $850 billion, is less of an AI company and more of a massive internet arms dealer desperately searching for growth engines. However, as everyone aspires to become a "super app," will the ecological niches of the digital world become even more crowded and closed?
While giants are vying for territory, a seemingly quiet revolution is unfolding at the grassroots level. The price of computing power is collapsing, with manufacturers like DeepSeek and Xiaomi's MiMo driving prices down by nearly 99%. It's no longer a "high-end resource" but is transforming into "digital water and electricity." This means the barriers to innovation have been drastically lowered. The AI game that once only giants could afford to play can now be tackled by a garage startup team. This may be more exciting than any flashy model release, as it concerns the redistribution of power.
But every coin has two sides. As AI permeates every corner, regulatory oversight follows. AI proctors have been introduced in college entrance exam halls to detect abnormal behaviors and automatically capture surveillance footage. The original intent is, of course, to ensure fairness and prevent cheating. Yet this scenario always strikes me as somewhat cyberpunk: a group of human examinees writing intensely under the gaze of another "AI invigilator." The "all-seeing eye" of technology is omnipresent, safeguarding order while quietly defining new behavioral boundaries. We enjoy the convenience and security brought by technology, yet we are unknowingly surrendering a portion of our freedom "not to be observed." Whether this exchange is equitable may require a longer time to measure.
The flow of talent resembles a precise betrayal, exposing the industry's truest ambitions and anxieties. Clive Chan, the "Employee No. 002" from OpenAI's self-developed chip project, defecting to rival Anthropic is more than just a job change. It's a strategic signal: the deep-water zone of the large model competition has shifted from the front-end model parameters and user experience to the underlying chips and computing infrastructure. Whoever holds the more efficient and cheaper "shovel" is more likely to unearth more "gold." By taking on this chess piece, Anthropic is addressing its infrastructure shortcomings and preparing for a longer, tougher battle ahead.
Looking back at Aisidi, the Apple distributor that paid an additional 300 million yuan in taxes, or Luckin Coffee's half-filled iced latte—these trivial business stories seem like insignificant footnotes in the grand technological narrative. Yet they constitute a real sense of absurdity: on one hand, machines are taking over the internet, and AI agents are poised to reshape the world; on the other hand, enterprises are still wrestling with tax issues from years ago, and consumers are still nitpicking over the physical volume of a beverage. The world progresses in such a disjointed manner—some people are fighting for the stars and the sea of AI, while others are still squabbling over a half cup of coffee. And we all simultaneously inhabit these vastly different layers of reality.
SpaceX's IPO received double subscriptions, gold prices fell below key levels, fuel vehicles are being discounted for clearance... The fragments of information pieced together depict a world that seems both accelerated and creased under the tides of AI. Machines have surpassed human traffic in the digital realm, while in the physical world, humans are still emotionally stirred by fluctuations in gold, car, and stock prices. This transcendence may only be the beginning. It reminds us that we are no longer "using" the network; it is more likely that the network (or rather, the AI behind it) is "using" the data we generate to train itself, ultimately serving the new entity it represents.
The real competition may have only just begun. It's not a competition between humans and AI, but a test of who can better navigate this chaotic era where old and new rules alternate.
Disclaimer: The above content is generated by AI and is for reference only.