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U.S. employment unexpectedly shrank in July, posing a policy challenge for the Federal Reserve, as market expectations for interest rate hikes quickly declined

In July, the United States unexpectedly lost 23,000 jobs, far below the expected increase of 80,000. The increase in June was also revised down to only 20,000. Despite the weak job market, the unemployment rate unexpectedly fell from 4.2% to 4.1%. "Fed mouthpiece" Nick Timiraos commented that in July, the U.S. unemployment rate dropped to 4.09% because both the number of job seekers and the number counted as unemployed decreased; this data brought the unemployment rate to its lowest level in two years.Analysts pointed out that this disappointing report has reignited concerns about the labor market and may complicate the Federal Reserve's interest rate decisions, as policymakers need to seek a balance between weak employment and persistent inflation. As a result, market expectations for interest rate hikes quickly receded.Affected by this, U.S. stock index futures surged rapidly, with Nasdaq futures up 0.79% for the day, S&P 500 futures up 0.39%, and Dow futures up 0.27%. U.S. Treasury prices soared, with the yield on the 10-year U.S. Treasury currently down 4.29 basis points, reported at 4.627%; non-U.S. currencies generally rose, with the dollar against the yen briefly falling 80 points, reported at 157.72.At the same time, the U.S. Dollar Index DXY briefly fell nearly 30 points, reported at 99.67. Spot gold briefly rose about $40, reported at $4,351.43 per ounce.

hot_img "Fortune": The AI competition has shifted from "US-China confrontation" to "open source versus closed source."

Fortune magazine recently published a commentary article pointing out that with the rapid rise of China's open-source AI models, the competitive landscape of the global AI field is changing. The real contest has shifted from U.S.-China rivalry to the battle between open-source and closed-source models. The article cites data from the independent evaluation platform Artificial Analysis, stating that the intelligence index of DeepSeek V4 Flash is only 1 point lower than that of GPT-5.6 Luna. Even though OpenAI has reduced prices by 80%, the former's single-task cost is still 60% lower.The author notes that while U.S. export control policies aim to limit China's AI development, they have objectively stimulated innovation at the architectural level among Chinese companies, forcing them to shift towards open-source and low-cost routes. Chinese models attract global developers to participate in improvements by opening weights, while transferring inference costs to overseas cloud service providers, achieving a low-cost global layout. Regarding the viewpoint that open-source models "cannot be profitable," the article argues that their profit model is similar to that of open-source software: users pay for hosting services, and most companies are not inclined to self-deploy.The article also points out that recently, several figures in the U.S. tech community, including former White House AI official David Sacks, have begun to support open-source, and NVIDIA CEO Jensen Huang has also called for the industry to embrace open-source. The author urges both China and the U.S. to cooperate in the field of AI security, viewing open-source AI as a "global public good," rather than falling into a zero-sum competition that costs trillions of dollars.
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