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Zhiji is preparing to make a car without a steering wheel run. Recently, photos of a car's cockpit circulated online, showing no traditional steering wheel in front of the driver's seat, with a screen dominating the dashboard. Netizens quickly dubbed it the "Chinese version of

Nvidia delivered a strong quarterly report, and Goldman Sachs believes three catalysts will drive the stock price to continue outperforming the market. Nvidia reported second-quarter revenue of $96.2 billion, exceeding Wall Street expectations. Management then provided a full-year outlook of 70% revenue growth for calendar year 2027, far surpassing

We are standing at a historic turning point. By 2026, AI will have evolved from a cutting-edge concept into a core engine driving global industrial transformation and capital flows. This year, the boundaries of global AI technology have been expanded once again, and models and applications have maintained rapid iteration.

One of the most optimistic voices on Wall Street is putting the brakes on AI trading. Ed Yardeni, president of Yardeni Research, explicitly warned that now is not the time to chase AI stocks. He believes the market is experiencing "AI fatigue," and the outcome is uncertain. He

Nvidia's better-than-expected revenue growth forecast rekindled market confidence in the AI investment cycle, driving up US stock futures, but persistently higher-than-target inflation data put pressure on the bond market, while investors also turned their attention to the upcoming Jackson Hole Economic Symposium. Nasdaq 100 futures rose 0.9%

On August 27, in a recent in-depth internal dialogue, Anish Acharya, a partner at the well-known venture capital firm a16z (Andreessen Horowitz), and host Jen Kha had a comprehensive discussion on the current macro environment of the AI market, model evolution, commercial moats, and future growth points at the application