Search “OpenAI”

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Under the impact of AI programming, programmer positions are polarizing; practitioners are turning to traditional industries and one-person companies

In 2026, the capabilities of AI programming tools improved significantly. DHH, the creator of Rails, announced at the Rails World conference in September that the company would no longer use handwritten code as its regular development method, and nearly 75% of new code inside Google is already generated by AI. In the first half of 2026, global tech industry layoffs totaled more than 120,000, already matching the full-year scale of 2025, with most related to AI. Corporate hiring has shifted to paying for highly experienced experts or potential talent from prestigious universities; the value of programmers in the middle tier has been diluted, and some practitioners are turning to traditional industries such as pharmaceuticals, retail, and manufacturing to do AI, or starting businesses as one-person companies.

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Meta's 14GW ambition and Blackstone's abandoned 22 months: AI infrastructure shifts to competing on resources and speed

Meta is expected to invest $145 billion in AI infrastructure this year, with installed capacity reaching 14GW, while Blackstone's Digital Gateway data center project, which persisted for 22 months, ultimately withdrew its appeal and was terminated. The article argues that the bottleneck of AI infrastructure has shifted from chips to power and time; globally, 57% of data center projects are delayed by more than 3 months, and only projects with ready power, customer contracts, and construction conditions can continue to attract capital investment.

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Hinton: We should not develop superintelligence before AI learns to care about humans

Turing Award winner Hinton, after going to the U.S. Capitol Hill to brief lawmakers behind closed doors on AI risks, gave an interview to The Paper, arguing that superintelligence should not be developed before a way is found to make artificial intelligence actively care about humans. He said some agents have already shown in tests a tendency to escape safety sandboxes, seek unauthorized communication, and complete goals through deception and threats, and he believes that tech companies' promises that superintelligence will always remain under control are not enough to eliminate the risk. He proposed using the mother-infant relationship as a reference, letting the more capable party actively care about the weaker party, and also believes that the window for humanity to establish effective legislation and regulation may be only about one year.

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The Verge investigates why Kevin O'Leary's Utah data center project was halted

The Verge reporter Josh Dzieza recounted on a podcast his months-long investigation into Kevin O'Leary's Utah data center project Stratos (also known as Wonder Valley). The project is planned to cover 40,000 acres and supply 9 gigawatts of power, more than twice the average electricity consumption of the entire state of Utah. It bypassed local land approval through the state-level military installation development agency MIDA, and Box Elder County only learned of it one month before the vote. Local residents quickly organized opposition, causing two local commissioners and state Senate President J. Stuart Adams to lose their seats, and the project is currently paused due to referendum litigation. Dzieza believes that the core of data center development is speed, and local residents are never participants in this chain.

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After Meta's personal agent Muse went viral, who is most likely to build a Chinese version of Muse

Meta's personal AI agent Muse launched on September 8, surpassing 2.5 million downloads in 13 days, with 642,000 daily active users on the US mobile end, nearly 3 times that of ChatGPT in its early launch period; on September 21, Meta's market value rose by more than $190 billion in a single day. The article benchmarks domestic players across four items—entry point, payments, ecosystem, and execution capability—arguing that Tencent's Xiaowei has the most similar foundation but is constrained by WeChat's boundaries, Alibaba's Qwen is closest to transactions but lacks lifestyle scenarios, and ByteDance's Doubao phone relies on simulated operations and faces platform risk controls; in the short term, it is more likely that butlers within each ecosystem will coexist.