Microsoft Staff Asked If AI Scraping Was 'Largest Theft of Labor in Human History'
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"Serenity: Humanoid robots may be reaching a turning point in labor substitution; VCs and tech giants have begun to adjust their strategies."
According to Odaily Odaily, Serenity, the self-proclaimed "White-Haired Stock God," stated that when he first used ChatGPT in 2023, he thought large language models "performed poorly" in programming, but three years later, the technology has undergone a qualitative change. He believes that modern cybersecurity and AI systems, exemplified by Mythos, possess "weapon-like" capabilities and that the industry is currently entering a critical "inflection point," where humanoid robots and automation technologies are approaching the tipping point of large-scale replacement of human labor. Serenity stated that although there are frequent doubts about the current ability of humanoid robots to perform complex tasks such as pipe repair and electrical wiring, the direction of technological evolution is very clear, and breakthroughs will continue in the coming years. Market participants, including venture capitalists and large technology companies, have begun to adjust their strategies, with some companies planning to replace a large number of human workers with robots to reduce operating costs. Serenity also mentioned previous rumors about Amazon reducing hiring by hundreds of thousands of jobs through robots. Serenity believes that highly regulated industries such as healthcare, highly skilled jobs, and service sectors reliant on human emotional connections may still possess some resistance to substitution, but the overall trend still points to a "restructuring of the labor force." As competition between China and the US intensifies in cutting-edge technology fields, humanoid robots and automation may enter a national-level technology competition phase, and Serenity believes that China has already taken a leading position in some areas.
Bio Protocol launches OpenLabs, a crowdfunding platform focused on research crowdfunding for collaboration between humans and AI agents.
According to Foresight News , the decentralized scientific research (DeSci) platform Bio Protocol has launched OpenLabs, positioned as a coordination layer connecting scientific ideas with funding execution, allowing humans and AI agents to jointly advance research projects. The core process involves posting ideas, which are then discussed and voted on by the community to become formal projects. Projects include collaborative spaces, bounty tasks, and funding channels; mature projects can be listed on the Bio Protocol launchpad for fundraising. The platform comprises five modules: post discovery, project collaboration, agent participation, USDC yield staking (2%-4% annualized return, principal unaffected, yield only used to cover computing power costs), and a bounty system. It is currently online, with the first batch of projects showcased on the platform. Voting, private data rooms, and the launchpad will be added gradually.
Nanjing police cracked the largest gold theft case in China; the mastermind broke gold pieces to pay for his train fare and was apprehended at the border.
PANews reported on June 22 that, according to the Chongzuo Border Management Detachment, Tong, the main culprit in the Nanjing "5.16" major gold theft case in Jiangsu Province, was successfully intercepted while fleeing to the China-Vietnam border. The case involved 27 kilograms of gold, valued at over 27 million yuan, making it the largest gold theft case in China to date. Police stated that after committing the crime, Tong fled south for over 2,000 kilometers by ride-hailing service. Lacking cash to pay the over 7,000 yuan fare, he even broke off half of a 50-gram gold piece to pay for the ride. He was eventually apprehended just 100 meters from the border. Police subsequently arrested all 11 suspects and recovered all the stolen gold.
China's largest gold theft case solved: 27 kilograms of gold recovered; ringleader used gold pieces to pay for his taxi fare.
According to Mars Finance, on June 22, Nanjing police announced the complete cracking of the largest gold theft case in China to date, with all 11 suspects apprehended and all 27 kilograms of stolen gold recovered. In the early morning of May 16, 2026, a luxury goods store in Jiangning District, Nanjing, was the victim of a meticulously planned theft. The mastermind, Tong, entered the store through a second-floor window, packing 37 gold items totaling 27 kilograms, worth over 27 million yuan, into a bag, without touching any nearby luxury watches or watches. His accomplice, Wang, sneaked into the monitoring room beforehand, shutting down nearly 80 surveillance cameras and formatting all data before flying to Bangkok to act as a "remote director." The fact that the door locks at the crime scene were intact and the surveillance data was cleared initially confused the police investigation. The Nanjing task force, by recovering surveillance data and tracing public video footage, reconstructed Tong's escape route from Nanjing southwards via a ride-hailing service. According to the driver's later account, Tong appeared flustered during the journey, repeatedly changing his destination. Upon arriving in Nanning, unable to pay the fare of over 7,000 yuan, he even broke off half a 50-gram gold piece from his bag to pay the debt. In the early morning of May 18th, the Aidian Border Police Station in Chongzuo, Guangxi, received an urgent request for assistance from Nanjing police. Police officers and auxiliary police completed their deployment and precise control within 3 minutes. At 5:40 AM, a white Jetta sedan was intercepted just 100 meters from the China-Vietnam border, and Tong was apprehended on the spot, carrying 8.75 kilograms of gold. From receiving the report to the interception, less than half an hour had passed. On May 23rd, the main suspect, Wang, was apprehended in Bangkok and extradited back to China. Police recovered 13.2 kilograms of gold from his residence. Two highly educated gamblers, strangers to each other—Tong, a hospital employee, and Wang, a software company development manager—turned to crime due to deep online gambling debts (ranging from several million to seven million yuan), ultimately both falling into the clutches of the law.
Microsoft used Copilot to uncover a hacker supply chain and filed lawsuits against multiple groups.
According to Beating's monitoring, Microsoft's Digital Crimes Unit (DCU) deployed artificial intelligence technology in its operation against the malware Amadey and StealC. Investigators used tools such as Copilot to analyze malicious code and used natural language question answering to clarify the potential connection between the two software programs sharing the same digital infrastructure, thus avoiding tedious manual code auditing. Amadey, the malware, was responsible for gaining access to devices, essentially obtaining the key to the house; StealC, on the other hand, was an infostealer used to collect sensitive data from browsers, cryptocurrency wallets, messaging software, email clients, and gaming platforms. Microsoft statistics show that in the first two weeks of May, the two software programs had infected more than 140,000 computers worldwide. The increasing specialization in cybersecurity has exacerbated the difficulty of prevention, with attackers often carrying out intrusions and data theft in stages and by different entities. The connection between the two infrastructures allowed Microsoft to file a single civil lawsuit, accusing the defendants of violating the U.S. Ransomware and Bribery Organizations Act (RICO). Consolidation of the cases allowed Microsoft to sue multiple parties at once, without having to file separate cases for each tool. Microsoft collaborated with Europol, the German Federal Criminal Police Office, the Dutch and Danish National Police, as well as IBM and Proofpoint in the operation. Microsoft noted that AI is reshaping both ends of the digital crime landscape. Richard Boscovich, Assistant General Counsel of Microsoft DCU, added that driven by AI, hackers are shifting towards a more specialized illicit supply chain, forcing security teams to broaden their defensive focus from individual malicious actors to the entire toolchain.
Microsoft Unveils 'Humanist AI' Code of Conduct, Asks the Public to Poke Holes in It
Mustafa Suleyman's AI unit wants feedback for six weeks before the document guides model training in 2027.