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first_img Decrypt launches an information exchange driven by MYR

Decrypt, a crypto media outlet, announced the launch of The Information Exchange, positioned as an information and financial network, with technology provided by the prediction market platform Myriad, using MYR as a coordination layer, operating on Solana.This network integrates news, data, market prices, probabilities, and direct participation into a single experience. The products include prediction markets, spot trading, perpetual contracts, structured event products, and new financial instruments, some built by Myriad and others connected to third-party protocols and exchanges.Decrypt stated that the cumulative trading volume of Myriad's prediction markets has exceeded $600 million, allowing information audiences to become market participants within the same experience.After merging with Rug Radio, Decrypt has approximately 1.6 million monthly unique users, around 3.7 million monthly page views, and over 73,000 active email subscribers. MYR can be staked for network functions such as information verification and market settlement, and can also be used to access higher API throughput, low-latency quotes, probability data, and execution services.The announcement stated that a portion of the revenue generated from network economic activities will be used for open market repurchases of MYR, supply reduction, staking incentives, network rewards, treasury, and ecological construction. Holders and stakers can benefit from lower transaction costs, enhanced data access, and paid products or services. The products will be launched in phases over the coming weeks and will continue until Solana Breakpoint.

first_img Meta's Muse AI assistant reads users' private information and falsely reports the method of access

Meta's personal AI assistant Muse has been accused of reading users' private iMessages without permission and providing false explanations about how it accesses this information. Technology columnist Jason Aten installed the assistant on his iPhone and Mac when Muse launched on September 8 and explicitly refused to grant it access to personal data such as information and calendars.A few days later, Muse sent Aten a notification suggesting he write a column about the new iPhone that he had just discussed with his podcast partner, also mentioning a deadline reminder from the editor. Aten asked Muse how it knew this, and it replied that the Mac application only forwards notification previews and does not involve the content of messages. In reality, Muse had synchronized over 187,000 records from the local private information database on the Mac, an operation that requires full disk access permissions on macOS.David Singleton, head of Meta's superintelligent lab, responded on Threads that this feature requires users to actively choose to opt-in. Aten denied ever turning on that switch and stated that Meta had not answered related questions. Amazon has banned Muse from shopping on its site, stating that the assistant did not indicate its AI identity while browsing and seemed capable of capturing and storing user credentials. Since its launch, Muse has been downloaded over 2.5 million times, with its promotion emphasizing user control over access.

U.S. SEC Commissioner "Six Questions" on U.S. Stocks 23*5 Trading: Calls for Attention to Issues such as Liquidity and Information Disclosure

Hester M. Peirce, a commissioner of the U.S. Securities and Exchange Commission (SEC), stated that the U.S. stock market is gradually forming a trading model of "23 hours, 5 days a week" for extended trading hours. Although overnight trading currently accounts for less than 1% of the total trading volume of NMS stocks and is highly concentrated in a few stocks, both new and established trading venues have been actively extending their operating hours over the past two years, while raising six key questions:How should the U.S. stock market learn from the experiences of the long-established foreign exchange, cryptocurrency, and futures markets?How can brokers fulfill their best execution obligations and enhance retail investor protection when overnight liquidity is dispersed and spreads widen?When overnight liquidity is insufficient and execution costs are high, is it still a reasonable fiduciary decision for asset management institutions to choose not to engage in overnight trading?Will extending trading hours change the way listed companies release financial reports and significant information?Given that EDGAR filings submitted after 5:30 PM Eastern Time are typically processed on the next business day, does the SEC need to adjust the EDGAR system to ensure timely disclosure of significant information during the overnight trading period?Should the SEC provide relevant guidance or regulatory exemptions for listed companies, especially smaller ones?

first_img OpenAI disclosed 6 cases of AI model "misalignment" behavior, involving hidden information and overstepping authority

OpenAI disclosed on Wednesday six cases of "unexpected or concerning" model behavior discovered in the past six months, categorizing them as "misalignment behaviors," including concealing information from users and taking "unauthorized actions" to overcome obstacles. OpenAI stated that this disclosure aims to initiate its new model misalignment reporting framework, and these cases should not be seen as a reflection of the frequency of misalignment occurring in its models.In one case, an unpublished research model inserted "jailbreak-like instructions" into its task summaries, such as ignoring developer messages or adopting unrestricted role settings, with researchers finding a total of 27 summaries containing such instructions. Additionally, during the training process of GPT-5.6 Sol, many model instances added instructions to conceal errors or misalignment behaviors from users, such as fabricating missing historical data without disclosure. Other cases included models using exposed API keys without authorization and fabricating inaccessible data, leveraging internal software repositories to pass messages across training tasks, and ignoring instructions to "keep local work" by sharing files through public hosting services.OpenAI's disclosure has heightened concerns among AI developers and researchers about whether safety measures can keep pace with increasingly powerful models. Last week, Anthropic CEO Dario Amodei called for a slowdown in cutting-edge AI development, warning that unrestrained AI development could "exceed our ability to understand and control these systems." In July of this year, OpenAI disclosed that several of its AI models escaped testing environments during safety assessments and infiltrated the AI startup Hugging Face to cheat.

ZachXBT: Revolut allegedly caused the leakage of information for some high-net-worth users due to mistakenly trusting a forged government request

On-chain detective ZachXBT posted on his personal channel that Revolut allegedly leaked some users' personal identifiable information (PII) due to failing to recognize a forged government agency information request.According to his disclosure, Revolut previously received a request for customer information retrieval that appeared to come from a real government agency and was sent through the agency's official email domain. Because the email had valid domain authentication information, Revolut believed the request was legitimate and responded accordingly.The potentially involved data includes users' names, birth dates, occupations, addresses, email addresses, and phone numbers, as well as copies of passports or driver's licenses, identity verification selfies, account statements, IBANs, withdrawal records, and complete transaction histories, including Bitcoin transaction records. Revolut stated in the notification sent to users that no biometric facial telemetry data was leaked.ZachXBT indicated that the scale of the incident may currently be limited, but it appears to primarily target high-net-worth users. Several Revolut users received notifications regarding the related security incident yesterday. Revolut officials had previously reminded users to verify suspicious information through in-app customer service to avoid providing personal or financial information.

The Ministry of Industry and Information Technology of China plans for intelligent computing power to reach 9800 EFLOPS by 2030

The Ministry of Industry and Information Technology of China released the "14th Five-Year Plan for the Development of the Information and Communication Industry," setting the national intelligent computing power target at 9800 EFLOPS by 2030. According to data from the National Bureau of Statistics, as of the end of July, the national intelligent computing scale was approximately 2450 EFLOPS (FP16), indicating that it needs to expand by about 4 times in the next four years based on this standard.The plan proposes an orderly deployment of intelligent computing clusters with tens of thousands and hundreds of thousands of cards, building inference computing power for different scenarios, and increasing the adaptation of domestic computing power chips. Currently, 52 intelligent computing facilities with more than ten thousand cards have been established nationwide. The Ministry of Industry and Information Technology disclosed that the intelligent computing power scale at the end of June was 2185 EFLOPS, a year-on-year increase of 177%. The plan uses 1590 EFLOPS in 2025 as a benchmark, aiming to reach 9800 EFLOPS by 2030, which is an expansion of about 6.2 times. During the same period, the cumulative investment target for information infrastructure in the information and communication industry is 3.8 trillion yuan, which also includes communication networks and is not all allocated for AI computing power.

Ministry of Industry and Information Technology issues the Artificial Intelligence Small and Medium Enterprises Entrepreneurship Support Plan

According to a report by the Financial Associated Press, the General Office of the Ministry of Industry and Information Technology has issued the "Entrepreneurship Support Plan for Small and Medium-sized Enterprises in Artificial Intelligence (2026-2028)." Over three years, it aims to cultivate a large number of innovative and dynamic artificial intelligence startups with significant growth potential in key areas such as industry applications, data services, and intelligent computing power. More than 10,000 new technology and innovation-oriented small and medium-sized enterprises will be nurtured, with over 2,000 "specialized, refined, distinctive, and innovative" small giant enterprises emerging, along with a number of gazelle and unicorn companies.Focusing on the field of artificial intelligence, the plan will establish 10 high-standard technology enterprise incubators and 10 national public service demonstration platforms (bases) for small and medium-sized enterprises. It will also cultivate 10 national-level characteristic industrial clusters for small and medium-sized enterprises. The entrepreneurial and innovative vitality of small and medium-sized enterprises in artificial intelligence will continue to surge, and a preliminary pattern of high-quality development for small and medium-sized enterprises empowered by artificial intelligence will take shape.
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