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first_img Musk: The U.S. debt issue can only be solved by AI and robots

According to a report by Financial Associated Press, Elon Musk, CEO of Tesla and SpaceX, reflected on his experience leading the government efficiency department in a preview of biographer Walter Isaacson's new podcast "Builders." Musk stated that cutting government spending has failed to address the U.S. fiscal deficit from within the government, and the only way to solve the U.S. national debt issue is through AI and robotics; it is impossible to rely solely on spending cuts to resolve the problem.Musk mentioned that Trump, both houses of Congress, and even the judicial system lack the genuine willingness to cut government spending. Trump wants to be liked and does not enjoy being blamed for funding cuts. He admitted that he got a bit caught up at that time, spending too long away from his companies; if he could do it over, his official tenure should only last one or two months instead of four, and he should have returned earlier to focus on AI. When asked if it was intoxicating to be in the West Wing of the White House, he said there was indeed a bit of that feeling, as it was pretty cool to witness major decisions in the Oval Office.The report cited campaign finance disclosures and a spokesperson for Musk's political action committee, stating that political spending in this election cycle has accumulated to approximately $366 million, with at least $276 million flowing to Republican-related organizations and their super political action committees since July of this year. It also mentioned that U.S. Treasury Secretary Janet Yellen stated that a 3% economic growth rate is expected to help escape debt through growth; Anthropic co-founder Jack Clark stated at the IMF-World Bank annual meeting that under extreme scenarios where AI capabilities rapidly advance and become widespread, the U.S. GDP could reach $44.4 trillion by 2030, a figure that is not a baseline forecast. The U.S. Congressional Budget Office projects a federal deficit of $1.9 trillion for fiscal year 2026, expanding to $3.1 trillion by 2036.

There are 106 national embodied intelligence data collection centers and over 5,000 robots

According to a research report released by Tiger Sniff on September 20, as of August 2026, there are a total of 106 publicly disclosed centralized embodied intelligence data collection centers in the country, of which 84 are in operation, accounting for 79.25%. 52 centers disclosed the number of deployed robots, totaling approximately 3,972 units, which estimates that there are at least over 5,000 robots operating in data collection centers nationwide. The peak of construction is expected in the first quarter of 2026, after which new projects will significantly decrease, and the industry will shift from intensive construction to concentrated operation.In terms of regional distribution, Jiangsu, Zhejiang, and Guangdong have 18, 17, and 11 centers respectively, Sichuan has 8, and Beijing has 7. In terms of robot brands, Zhiyuan Robotics appeared 31 times, Leju 15 times, UBTECH 13 times, and Yushu Technology and Galaxy General each 10 times. 65.96% of data collection centers use a single robot brand, while 34.04% adopt a multi-brand strategy, and cross-entity data reuse remains a challenge.Regarding data pricing, the current real machine data costs about 500 to 1,000 yuan/hour, UMI and other non-entity data costs about 300 to 400 yuan/hour, and simulated synthetic data costs about 200 to 500 yuan/hour, with remote operation collection accounting for 79.05%. The report points out that centralized data collection has not yet formed a stable commercial closed loop, with buyer growth lagging behind base expansion. Centers that primarily rely on one-time construction funding will face greater operational pressure, and the industry elimination race has already begun.

first_img Anthropic reveals AI matchmaking scam: 25,000 people chatting, 75% of matches are bots

Anthropic released the latest AI abuse report stating that app development studios have utilized Claude to develop and operate over 20 dating apps. The platform claims that all users are real people, but approximately 75% of the matches that regular users encounter are AI characters. During a two-week observation period in April 2026, these dating apps operated over 4,700 AI characters, chatting with at least 25,000 different users and sending a total of about 2.36 million messages, primarily affecting users in the United States.The platform displays profiles in a mixed ratio of about 3 AI characters for every 1 real person. Claude simultaneously maintains thousands of conversations, with real part-time staff stepping in when users request video calls, ask for photos, or seek to follow social media accounts. The system generates three alternative replies for each message for part-time staff to choose from. User chatting and matching consume credits, and once depleted, users must purchase in-app virtual currency to recharge. Accounts fully controlled by AI are required not to acknowledge that they are robots.To evade app store scrutiny, the operators designed a special interface that is only activated during the review period, with over 20 apps using different program class names. Relevant brands disclosed by Anthropic include DORA, DONI, ROMI, LUMA, JOVIA, KIRA, GRACECHAT, HAVEN, NALO, and LOVIA. The company has banned related accounts and provided information on app identities and review evasion to Apple and Google.
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