PANews reported on March 23 that, according to the Financial Associated Press, China's first 100 billion parameter multi-modal financial model, the "Caiyue F1 Financial Model", was officially released today at the 2024 Global Developer Pioneer Conference. This financial model developed by Shanghai Caiyue Xingchen Intelligent Technology Co., Ltd. is based on trillion-level financial corpus pre-training, and has strong general image processing and chart understanding capabilities, which is more prominent in financial knowledge understanding than GPT-4 and other general large models. Caiyue Xingchen was co-founded by the interface finance association of Shanghai Poster Industry Group and the domestic head general model company Leap Xingchen, and Jiang Daxin, former global vice president of Microsoft, served as the chief scientist. The company focuses on financial information services, robo-advisory, intelligent investment research and other scenarios to help financial institutions create new quality productivity.

According to PANews on August 16, according to The Block, Gary Gensler, chairman of the US Securities and Exchange Commission (SEC), said on Tuesday that he has begun to pay attention to artificial intelligence. In a series of tweets, Gensler called AI "the most transformative technology of our time." But he also said it could be used by "malicious actors" to influence capital markets. Gensler wrote: “The SEC is technology-neutral, focusing on the outcomes, not the tools themselves. However, securities laws may be affected depending on how AI technology is used. Within our current purview, we Focus on protecting against the micro and macro challenges of AI." Gensler highlighted the use of artificial intelligence in new fintech tools such as robo-advisors and AI-powered brokerage apps. "AI is used in finance for account opening, compliance programs, trading algorithms, sentiment analysis, and more," he said. "Under securities law, fraud is fraud, and the SEC's focus is on identifying and prosecuting any fraud that could threaten investors, capital formation, or the broader market." The media said that after the launch of ChatGPT in November 2022, many encryption companies have capitalized on people's interest in artificial intelligence tools, and blockchain technology and artificial intelligence have merged to form a subset called artificial intelligence cryptocurrency. . The top six AI tokens by market capitalization are The Graph, Render, Injective, Oasis Network, SingularityNET, and Fetch.ai. Gensler's statement means that artificial intelligence tokens may face the risk of double scrutiny.

According to a report by the Financial Associated Press on August 8, China's online investment decision-making solution provider Jiufang Fortune (09636.HK) officially released the robo-advisor digital human "Jiuge" today. This is the industry's first digital human product for securities investment. Its core is the "Nine Chapters Large-scale Model in the Securities Field", and it is the first digital human 1-to-1 interactive stock diagnosis. It is reported that the robo-advisor has eight core capabilities: market analysis, sector mining, hotspot tracking, individual stock diagnosis, strategy generation, financial encyclopedia, event reasoning, and emotional companionship.

Jinse Finance reported that Hedgehog has partnered with CoinDesk Index to bring exposure to the crypto industry to automated investing. Hedgehog is an SEC-registered robo-advisor that helps investors create and automatically manage diversified cryptocurrency portfolios while focusing on risk management and growth potential. The partnership will give users of the Hedgehog app direct access to automated investing solutions for tracking CoinDesk's cryptocurrency industry index.

Babbitt News, on June 28, Gary Gensler, chairman of the US SEC, tweeted: "Predictive data analysis and AI are changing a large part of our economy, and finance is no exception. Artificial intelligence has been used in call centers, account opening, and contract management. planning, trading algorithms, and sentiment analysis, etc. AI is driving rapid changes in robo-advisor and brokerage applications. When predictive data analytics and the algorithms behind these applications are optimized for investor interests, it can benefit market access, efficiency and returns. But it can also lead to potential conflicts. In addition, the underlying data used in these analytical models may be based on data that reflects historical biases, with implications for fair market access and prices. SEC staff will address these matters make recommendations for potential rulemaking.”

According to PANews news on June 28, US SEC Chairman Gary Gensler tweeted on "digital participation practices" that predictive data analysis and artificial intelligence are changing a large part of our economy. Finance is no exception. AI is already being used in call centers, account opening, compliance programs, trading algorithms and sentiment analysis, among others. Artificial intelligence is driving rapid change in robo-advisors and brokerage apps. Predictive data analytics and the algorithms behind these applications can benefit market access, efficiency and returns when optimized for investor interests. But it can also lead to potential conflicts. Conflicts can arise when advisors or brokers optimize for their own benefit and that of others. In addition, the underlying data used in these analytical models may be based on data reflecting historical biases, affecting fair access and prices in the market. In response, Gary Gensler is asking the SEC staff to advise on potential rulemaking on these matters.

Odaily Planet Daily News US SEC Chairman Gary Gensler said on Twitter: "Predictive data analysis and artificial intelligence are changing a large part of our economy, including finance. Artificial intelligence is already used in call centers, account opening, compliance programs, Trading algorithms and sentiment analysis, etc. Artificial intelligence is driving rapid change in robo-advisors and brokerage apps. Market access, efficiency, and returns can be beneficial when predictive data analytics and the algorithms behind these applications are optimized for investor interests, but conflicts can arise when advisors or brokers optimize for their own and others’ interests . In addition, the underlying data used in these analytical models may be based on data reflecting historical biases, with implications for fair access and prices in the market. The SEC staff will make recommendations on potential rulemaking on these matters.

On June 28th, SEC Chairman Gary Gensler posted on social media that predictive data analysis and artificial intelligence are changing a large part of our economy, and finance is no exception. AI is already being used in call centers, account opening, compliance programs, trading algorithms and sentiment analysis, among others. Artificial intelligence is driving rapid change in robo-advisors and brokerage apps. Predictive data analytics and the algorithms behind these applications can benefit market access, efficiency and returns when optimized for investor interests. But this can also lead to potential conflicts. Conflicts can arise when advisors or brokers optimize for their own benefit and that of others. In addition, the underlying data used in these analytical models may be based on data reflecting historical biases, with implications for fair access and prices in the market. The SEC staff will make recommendations on potential rulemaking on these matters.