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Holiday Reading | Masayoshi Son spent 1 trillion, the rise of the Siasun Robot&Automation empire! The total amount far exceeds the Stargate, and the labor apocalypse is turned around.

Will Intel's financial crisis come to an end? Plans to establish a joint venture with Taiwan Semiconductor for chip manufacturing, stock price rises 2% against the trend.

Meta's new AI glasses may be released by the end of the year: innovatively using a monocular display to adapt to Siasun Robot&Automation chatbots.

With Trump’s "Liberation Day" approaching, the "seven giants" face short-term pressure! Wedbush warns that the prospects for AI investments are clouded.

Weekend Reading | The CEOs of the two top "shovel-selling" companies from different eras discussed AI together.

The "mini essay" on the US stock market is back: Intel may become the foundry for NVIDIA's gaming GPUs.

The "seven giants" are outdated, and Wall Street's attention has shifted to the "ten heroes" of China Technology.

On the same day, Alibaba announced two major collaborations! In recent years, it has clarified that AI is a new growth engine for the future.

Released on the same day! Google and OpenAI, "face-to-face confrontation."

Alibaba's Cai Chongxin warned: there is a "bubble" in the construction of AI Datacenters by USA vendors, as many projects do not yet have clearly defined customers during construction.

Chip stocks are staging a major comeback? Don't rush, investors still need to pay attention to this policy variable.

Bearish surprise! Hong Kong stocks in the AI Infrastructure Concept plummeted collectively, and there are still disagreements in the market regarding whether computing power is oversaturated.

Concerns about tariffs easing? The seven major tech stocks in the US may be poised for a rebound, and this company is expected to rise nearly 47%.

After participating in GTC, Morgan Stanley said: We were wrong, we originally thought that physical AI "was still just a story."

ANT GROUP CO., LTD. is fully embracing AI: significantly reducing costs in large model training, releasing integrated machines, and recruiting for smart glasses.