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PoL (Proof of Liquidity) is a consensus mechanism designed to validate transactions through the provision of liquidity. Unlike traditional Proof of Work (PoW) or Proof of Stake (PoS), PoL rewards participants with block rewards for providing liquidity. This mechanism is commonly used in decentralized exchanges (DEX) or liquidity pools to incentivize users to provide liquidity, thereby enhancing market efficiency and stability. The advantage of PoL lies in its ability to encourage more liquidity providers to participate, strengthening market depth and trading liquidity.
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Apollo Chief Economist: The profit margins of the seven tech giants are rising, while the rest of the S&P companies are stagnant

The chief economist of the American asset management firm Apollo, Torsten Sløk, released five charts, believing that AI has not yet brought significant financial returns to large American companies outside of the tech giants. The per capita revenue and profit margins of the seven tech giants continue to rise; excluding them, the 493 companies in the S&P have seen these two metrics remain basically stagnant, and the data on total factor productivity in the U.S. has not shown significant signs of AI-driven growth.Apollo cited data from the corporate payment platform Ramp, stating that among its clients, the top 10% of companies by spending contributed 99.5% of the model hosting and inference costs. Among the top 1% of companies with the highest AI spending, about 80% have venture capital backgrounds; for companies at the median spending level, this ratio is only 13%. A large amount of AI computing power consumption is concentrated in a few companies, many of which rely on venture capital support.Previous statistics from Apollo indicated that during the second quarter earnings season of 2026, 69% of S&P 500 companies had disclosed that they were actually using AI, but only 2% reported metrics for ongoing tracking of effectiveness. Another NBER study updated in October this year surveyed nearly 9,000 corporate executives from seven countries, with respondents estimating that over the past three years, AI has only improved the annual growth rate of labor productivity in companies by about 0.2 percentage points.

first_img South Korean police arrested 7 people in the first large-scale AI-assisted hacking case

Seoul police arrested 7 suspects accused of using generative AI to launch hacking attacks. The Seoul Metropolitan Police Agency stated that about 90 organizations were involved, collectively stealing 8.2 million records, marking the first large-scale arrest of suspects in AI-assisted hacking attacks in South Korea. The targeted victims included hospitals, universities, private tutoring centers, golf courses, and subsidiaries of large corporate groups, all of which held a significant amount of personal information, including names, contact details, and records of ordinary citizens. One funeral service company lost 1.22 million records, and reports indicated that the tutoring center's data also contained information on minors.According to local media reports, the main suspect, 32 years old, studied arts and sports and has no IT background. He told investigators that he self-taught hacking techniques through YouTube and online blogs, while police pointed out that he had worked in a security company conducting simulated attacks from 2019 to 2022. He initially used website vulnerability scanning tools and later introduced AI coding proxies and an automated penetration testing system called Artex at the end of August. Police stated that he hacked into 60 companies over a span of 44 days from August 31 to October 13.The entire attack operation lasted about 13 months, from September 2025 to this October, and the case was filed in June after a victim reported it. Police indicated that such a large-scale attack previously required a hacker group to accomplish, but AI now allows one person to achieve this in a short time. The suspect sent emails to 38 victims, collectively extorting 360 million Korean won, approximately 272,000 US dollars, but the only confirmed payment was 300,000 won, about 210 dollars. The main suspect was detained and transferred to prosecutors last Friday, facing charges of violating South Korea's Information and Communication Network Act, as well as extortion and attempted extortion. Police will continue to investigate the other 6 accomplices and confirm more victims, with 15 institutions already reporting damages.

first_img Bitcoin Core adjusts vulnerability disclosure policy to address AI vulnerability exploitation

Bitcoin core developer Antoine Poinsot announced an adjustment to the security vulnerability disclosure policy in the Bitcoin development mailing list. He stated that in the past, vulnerabilities were often kept secret for a long time to allow users to complete upgrades before details were made public, but this also led to fixes not being backported to older versions, requiring users to wait for the next major release. Poinsot pointed out that large language models make some vulnerabilities very easy to rediscover, and the protection that continued delays in fixing can provide is now quite limited.According to the new policy, vulnerabilities deemed "easy to discover" will be fixed as soon as possible in all maintained major versions, with security announcements released simultaneously. This classification applies to vulnerabilities that can be discovered with minimal effort, such as through simple LLM prompts. Other vulnerabilities will still follow the disclosure timeline based on severity: low-severity vulnerabilities will be disclosed two weeks after the major release containing the fix; medium to high-severity vulnerabilities will be disclosed two weeks after the last affected version reaches its end of life (usually one year after the fix is released in a new major version). Critical vulnerabilities are not covered by the standard policy and may require ad hoc procedures.Bitcoin ecosystem security researcher Luke de Wolf stated that he previously disagreed with Poinsot's security strategy but believes this update is a good adjustment. In August of this year, the volunteer-based Bitcoin Red Team reported nearly 5,000 potential issues across 390 projects, with only about one-fifth being reproducible at that time. In the same month, Core Lightning developers urged operators to upgrade or take nodes offline after receiving multiple AI-generated vulnerability reports, while keeping technical details confidential for two weeks.

first_img Interpol's Africa operation arrested 1,462 people and recovered over 105 million USD

Interpol announced that from June 29 to August 31, 2026, it coordinated law enforcement agencies from 21 countries to carry out Operation "Serengeti III," targeting online fraud, ransomware, business email compromise, online scams, and digital extortion. The operation resulted in the arrest of 1,462 suspects, the dismantling of 10,909 malicious networks, and the recovery of over $105 million in illegal funds. Investigations confirmed 65,929 victims, with financial investigations linking losses exceeding $385 million.In Angola, law enforcement dismantled two illegal cryptocurrency mining centers, arrested 9 suspects, and seized over 2,000 cryptocurrency mining devices and 6 illegal power transformer stations, with the seized power infrastructure alone valued at over $1 million. In Nigeria, authorities arrested a suspect linked to large-scale phishing and business email compromise, with the operation collecting approximately 2.1 million email addresses and software credentials; another investigation uncovered an international investment scam promoted through instant messaging applications that transferred over $2.4 million in suspected criminal proceeds, most of which were laundered through cryptocurrency transactions.Neal Jetton, head of cybercrime at Interpol, stated that cybercrime networks disregard borders and exploit technology to target victims on an unprecedented scale; the operation demonstrates that despite the increasingly borderless nature of cybercrime, international cooperation remains an effective tool for dismantling criminal networks, recovering criminal assets, and protecting communities. The operation received support from private sector partners such as Group-IB, Kaspersky, Fortinet, and Meta, and was co-funded by the EU and the joint project GLACY-e of the European Commission.

Sun Yuchen responds to the lawsuit against WLFI: Business is business, and it does not affect the positive outlook on U.S. technology and cryptocurrency policies

Recently, Sun Yuchen discussed his lawsuit against the Trump family's cryptocurrency project WLFI in a conversation with Jin Ming. He clearly stated that he remains firmly supportive of President Trump's cryptocurrency policy and AI strategy, believing it to be very successful.The reason for suing World Liberty Financial is entirely a normal action for commercial investors to protect their rights. The cause stems from the project's lack of investment transparency and insufficient information disclosure, even involving allegations of fraud. The case has been formally submitted to the federal court in California and is to be decided by a federal judge, which fully complies with the operation of the rule of law in the United States.Sun Yuchen further clarified that this lawsuit will not affect his judgment of the macro trends in the United States. He continues to hold a significant position in U.S. technology stocks and is optimistic about TRX being approved for a spot ETF in the U.S., the on-chain business of U.S. stocks, as well as expectations for a stronger dollar and the continued strength of the AI industry.Sun Yuchen believes that public opinion has exaggerated and complicated this lawsuit; in fact, it is simply a "business-to-business" lawsuit. Even if the agreement's subject matter involves 400 to 500 million dollars, it does not significantly impact his overall asset portfolio.Sun Yuchen also stated that he invests with the patience of an old hunter. Once he is thoroughly optimistic and makes a significant decision, he will invest at least 4 to 5 billion dollars or more in a single transaction.
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