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ETH $2,445.41 +5.28%
BNB $642.96 +3.33%
XRP $1.49 +5.04%
SOL $89.82 +4.14%
TRX $0.3249 -0.49%
DOGE $0.1008 +4.99%
ADA $0.2643 +5.79%
BCH $460.29 +4.86%
LINK $9.77 +4.73%
HYPE $44.82 +0.12%
AAVE $116.37 +7.36%
SUI $1.02 +5.83%
XLM $0.1746 +8.15%
ZEC $343.01 +2.19%

nfa

Expert: AI large model poisoning is a new form of unfair competition

According to China News Network, the "3·15" gala reported on the "poisoning" chaos of AI large models. Li Fumin, an expert from the Institute of Intelligent Social Governance at Shandong University of Finance and Economics, stated that the behavior of businesses conducting targeted training on large models through services like GEO to guide AI in generating specific product or service recommendations is essentially a new form of unfair competition and consumer misleading behavior that uses technical means for covert marketing and fabricating facts. This leads consumers to receive implanted marketing content without their knowledge, and its harmfulness and illegality need to be taken seriously.On one hand, the above behavior infringes upon the consumers' right to know and the right to fair trade as stipulated by the Consumer Rights Protection Law. On the other hand, it constitutes false or misleading commercial promotion using technical means, disrupting the normal order of recommendation algorithms and the market competition environment, thereby forming unfair competition.The governance of the above AI poisoning behavior requires a multi-faceted approach. Regulatory authorities should include AI-induced marketing in key monitoring and strengthen law enforcement supervision; AI operators should enhance the review of source materials and output filtering, and establish traceability mechanisms; consumers should improve their awareness of the commercial nature of AI-generated information and actively protect their rights through complaints and reports.

DeepSeek founder's Huanfang Quantitative achieved a return of 56.55% last year, with assets under management exceeding 70 billion yuan

According to the latest data from Private Equity排排网 cited by the 21st Century Business Herald, the average return of 56.55% for 2025 from Huansheng Quantitative, founded by Liang Wenfeng of DeepSeek, ranks second in the performance list of quantitative private equity in China with a management scale exceeding 10 billion, only behind Lingjun Investment, which tops the list with an average return of 73.51%. Currently, Huansheng Quantitative's management scale has exceeded 70 billion yuan. According to data from Private Equity排排网, Huansheng Quantitative's average return over the past three years is 85.15%, and the average return over the past five years is 114.35%.Some analysts believe that the substantial performance of Huansheng Quantitative provides ample R&D funding for DeepSeek, led by Liang Wenfeng. Huansheng Quantitative is one of the most well-known quantitative private equity giants in China, founded by Liang Wenfeng in 2008 while studying Information and Communication Engineering at Zhejiang University. It is a hedge fund with genes in mathematics, computation, research, and AI. In 2019, Huansheng Quantitative's management scale surpassed 10 billion yuan, and in 2021, it once broke through 100 billion yuan.Recently, it has been reported that DeepSeek will release its next-generation flagship AI model, DeepSeek V4, in February. This model possesses powerful programming capabilities and is expected to have a significant impact on the current AI competitive landscape.
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