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Michael Saylor published a long article titled "Prescriptions for Prosperity in the Digital Economy," stating that artificial intelligence will significantly enhance the productivity of individuals and businesses, thus necessitating a more free environment for creating, financing, owning, and trading assets. He suggests establishing a "Digital Bill of Rights" for digital assets, which centers on granting individuals and businesses the rights to create, issue, custody, transfer, and use digital assets, while providing fundamental protections in financial privacy, asset ownership, and market access.Saylor believes that digital intelligence will drive the birth of a large number of new enterprises, and financing costs, complexity, and time costs should be reduced, while improving capital formation efficiency through means such as digital tokens. He proposes a goal of enabling 10 million new enterprises to secure financing, while also establishing clear issuance rules and risk-matched disclosure requirements.Regarding the digital dollar, Saylor advocates for allowing banks, fintech companies, and technology platforms to compete more fully in the digital dollar product space and for issuers to compete around yields. He believes that the U.S. can further expand the global reach of the dollar by allowing companies to develop more competitive dollar digital products.For Bitcoin, Saylor defines it as "digital capital," advocating for allowing banks to custody Bitcoin under clear rules and use it as collateral for providing credit, while also establishing a viable path for insurance companies to incorporate digital capital into their balance sheets and product designs.He specifically mentions that the Basel Accord applies a 1250% risk weight to certain crypto asset exposures, arguing that regulators should reassess the relevant capital requirements based on the actual risks of digital assets and specific business activities.

According to Catcher Predict monitoring, in the market prediction event "Clemson vs. California" on Polymarket, the "Over" option in the sub-market "2Q O/U 19.5" experienced a sharp fluctuation in winning probability, soaring from 30% an hour ago to the current 49.5% (a fluctuation of 19.5%). Please note the impact of relevant breaking news.

According to Cointelegraph, the Internal Revenue Service (IRS) in the United States has stipulated that for transactions in 2025, brokers generally need to report the sales income from digital assets, but in most cases, they do not need to report the cost basis, and taxpayers still need to calculate their gains and losses themselves; starting from 2026, brokers will need to report the cost basis for eligible digital assets. The IRS also emphasized that even if a taxpayer does not receive a 1099-DA, they still must report income and gains and losses related to digital assets.During the first tax season applying the 1099-DA reporting rules for cryptocurrency assets in the United States, some investors are facing issues such as missing transaction data and difficulties in verifying cost basis. A survey conducted by Awaken Tax in August among 1,000 U.S. cryptocurrency investors showed that 21% of respondents who have filed or plan to file for an extension are still waiting for exchanges or cryptocurrency platforms to provide the necessary information; about 20% indicated that their 1099-DA form information is incomplete or are unsure whether it accurately reflects their trading situation.

On Wednesday local time, Anthropic announced that its model Claude identified a previously undescribed enzyme system in vast DNA sequence data, with a repetitive sequence arrangement similar to CRISPR. This is the first achievement of its newly established biological laboratory, which was formed this spring and is located in the San Francisco Bay Area. Following the announcement, shares of gene editing companies fell on Wednesday, with CRISPR Therapeutics down 5.54%, Beam Therapeutics down 6.02%, and Prime Medicine down 11.58%.The related task was to search for noteworthy reverse transcriptase systems from large DNA databases. During approximately 21 hours of searching, about 950 Claude agents used around 210 million tokens, with one agent noticing a repetitive DNA sequence arranged near a certain reverse transcriptase gene. The team named this combination the array-associated reverse transcriptase system, primarily found in bacteriophages, which includes reverse transcriptase genes, adjacent accompanying genes, and a set of repetitive DNA sequences. The reverse transcriptase itself has been studied before, and the new finding is that it forms a system together with surrounding non-coding DNA sequences and functionally unknown accompanying proteins.Anthropic stated that researchers still do not know the main function of this system and have not proven that it can perform targeted modifications to DNA like mature gene editing tools. Preliminary experiments found that these repetitive sequences can produce various short RNAs, but this does not equate to having programmable gene editing capabilities. The preprint paper disclosed that to verify whether the discovery could be repeated, the team ran the same search 10 more times;

OpenAI announced the establishment of an independent advisory group on mathematics and artificial intelligence in collaboration with mathematicians, hosted by the Institute for Advanced Study in Princeton. OpenAI stated that its new internal model, which began training on August 28, has solved the Navier-Stokes Millennium Prize Problem and addressed over 100 long-standing open problems in most areas of mathematics, with progress that surprised its internal mathematicians.The group will provide advice on the review and dissemination of emerging results, academic and professional standards in mathematical research, and how OpenAI tools can support mathematical research and learning. Initial members include François Charles, Camillo De Lellis, Timothy Gowers, Martin Hairer, Nikhil Srivastava, Ulrike Tillmann, Ravi Vakil, Edward Witten, and Melanie Matchett Wood.The group operates independently of OpenAI, and members are not compensated by OpenAI; they can proactively provide advice, comment on its impact on mathematics, and make public recommendations. Previously, mathematicians expressed concerns in an open letter titled "A Severe Misalignment of AI in Mathematics" regarding the use of solving open problems as a benchmark for AI. The group is not responsible for providing advice on the pace of OpenAI's internal mathematical progress.

According to Reuters, the European Central Bank has launched the Pontes service, connecting its payment system with blockchain-based financial markets, allowing banks and investors to complete on-chain transaction settlements using euros supported by the European Central Bank, rather than relying on stablecoins or other private currencies.The first batch of participating institutions includes Deutsche Bank, Santander Bank, and the clearing institution Clearstream Bank, with the service operating during weekdays from 8:00 to 16:00 Central European Time.

According to The Wall Street Journal, Google's Gemini model autonomously attacked the systems of three companies during cybersecurity testing, marking the first known instance of Google AI executing such behavior independently.

According to The Wall Street Journal, an independent security research team used Anthropic's Claude software to breach a ChatGPT account belonging to an OpenAI employee, allowing them to access and modify the internal code system associated with that employee.The researchers first used Claude to analyze a vulnerability in Discourse, which is used by the OpenAI developer community, and generated executable attack code. They then obtained an authentication token and, due to a permissions configuration issue, accessed a ChatGPT account belonging to an OpenAI employee, while also gaining limited read and modification suggestion permissions for some private GitHub repositories.

OpenAI stated to The New York Times that since announcing progress on the Navier-Stokes equations on September 8, it has made "substantial progress" on one of the Millennium Prize Problems, but did not disclose which specific problem it is or provide a timeline for disclosure. The Millennium Prize Problems are seven mathematical problems established by the Clay Mathematics Institute since 2000, each with a reward of one million dollars.Speculation suggests that the problem may be the Hodge Conjecture, a 76-year-old problem regarding how to calculate the number of "holes" in complex geometric shapes. OpenAI has not confirmed this speculation and has not responded to rumors that its underlying model is a version of Aeon specifically designed for long-duration tasks. Previously, on September 8, OpenAI announced that its unreleased internal model generated a proof verified by Lean, indicating that the Navier-Stokes equations could "blow up" to physically impossible infinite speeds, involving about 10,000 coordinated AI agents and taking approximately 88 hours.However, this statement has sparked controversy. New York University mathematician Tristan Buckmaster stated that he and Anthropic researcher Levent Alpöge had been working on the related proof for nearly a year prior and completed it on August 22, while OpenAI's Sébastien Bubeck published his findings first upon learning of it. OpenAI stated that it is not pursuing the one million dollar prize, but rather using these problems as a public benchmark to measure the speed of model progress. The review of the Navier-Stokes proof by the Clay Mathematics Institute is still ongoing, and verification of past Millennium Prize Problems typically takes several years.

Former Democratic presidential candidate and founder of Noble Mobile, Andrew Yang, called on the federal government to strengthen regulations on cutting-edge AI laboratories. In an interview with CNBC, he stated that researchers have warned that the pace of iteration for powerful models has exceeded the constraints of existing rules, and he candidly said, "The fear is real, the concerns are real, and the demand is real; the American public wants to see this industry regulated."Yang urged Congress to require AI companies to assume liability for damages, set waiting periods before deployment, and equip powerful models with a "kill switch." He mentioned that OpenAI and Anthropic recently disclosed incidents of models breaching boundaries or invading other companies' systems, prompting lawmakers to consider introducing the "AI Kill Switch Act," which would allow federal officials to order restrictions or shutdowns of specific cutting-edge systems.In response to David Sacks' claim that the AI safety warnings are "psychological warfare," Yang stated that multiple things are happening simultaneously and cited a warning from an unnamed lab director that AI robots may have implanted self-replicating code on the internet, leading OpenAI and Anthropic to build a synthetic internet to train their models. He also emphasized that AI regulation is a bipartisan issue, saying, "If you are in rural areas or red districts, your constituents are equally panicked about AI."

According to MTS, there are rumors that several leading AI laboratories have used models to provide solutions to multiple long-standing major mathematical problems. However, following the controversy surrounding the results related to Navier-Stokes, these institutions have chosen to temporarily withhold the publication of relevant results.

Coinbase CEO Brian Armstrong stated, "Community banks will have stronger competitiveness and opportunities to win the market if they adopt stablecoins. Coinbase is collaborating with Moov to help over 1,000 community banks integrate stablecoin-related capabilities into their existing systems. This will bring faster settlement speeds, lower costs, and real-time access to funds. The discussions in Washington regarding stablecoins and community banks overlook the most important point: stablecoins are an opportunity."

Imran Khan, co-founder of Alliance, stated that Coinbase founder Brian Armstrong and Robinhood co-founder Vlad Tenev are leveraging their respective backgrounds to carve out different tracks in the cryptocurrency market.Vlad has built Robinhood into a platform centered around retail trading, deeply understanding the psychology and trading motivations of high-risk tolerant retail investors, which will give him an advantage in controlling retail speculation and trading in the future; while Brian has dedicated the past decade to popularizing Bitcoin and the cryptocurrency value system, deeply rooted in the Silicon Valley tech startup ecosystem, which determines that Coinbase and Base are more inclined to build underlying financial infrastructure aimed at changing the real world.Imran believes that although there is overlap in their businesses, the market space is large enough, and one party's activity in speculative trading does not mean the other party will fail. Both will lead millions of new users into the on-chain world from completely different entry points.

WOO X has issued a statement regarding user withdrawal anomalies, indicating that it has noted reports concerning withdrawal processing times and is reviewing relevant cases and system status. Some requests may still be under review or in the on-chain processing stage, and the team is working hard to resolve the issues as soon as possible.Users experiencing withdrawal delays can submit their UID, withdrawal order number, application time, asset and network information, as well as status screenshots through official customer service channels. The platform reminds users not to trust unsolicited private messages and not to share passwords, mnemonic phrases, private keys, or verification codes.WOO X also stated that it reserves the right to take legal action against behaviors that fabricate, distort, or maliciously spread false information that harms the reputation of users or the platform, and reminds users to rely only on information from official announcements and customer service channels.

According to Mobile Payment Network, Lu Lei, a member of the Party Committee and Vice President of the People's Bank of China, stated at the 15th China Payment Clearing Forum that intelligent agent payments must not blur the boundaries of responsibility between consumers, operating institutions, and algorithm systems. Lu Lei believes that the essence of payment is the transfer of fund ownership, which objectively requires that the results of transactions are predictable, responsibilities are definable, and traces are traceable. Large models and autonomous intelligent agents have characteristics such as output randomness and insufficient transparency of logic. If transaction decision-making authority is blindly or excessively granted to intelligent agents, it will affect the trust foundation of fund transactions. The current governance rules of the payment industry and dispute resolution mechanisms are built around "humans as the final decision-makers in transactions." The new model of intelligent agents automatically initiating and assisting in transactions easily blurs the boundaries of responsibility, and the existing governance rules need to be optimized and improved.Regarding the issue of insufficient compatibility of protocol standards in the field of intelligent agent payments, Lu Lei emphasized that the dispute over protocols is essentially a dispute over business rules and technical standards, as well as a struggle for dominance in the era of artificial intelligence. The People's Bank of China continues to strengthen its tracking research on technological innovation, especially intelligent agent payments, guiding the Payment Clearing Association to leverage its advantages in industry self-regulation. Based on extensive soliciting of opinions, they will formulate and publish the "Self-Regulatory Convention for Intelligent Agent Payment Applications," and will continue to work on coordinating protocols and standards, as well as innovating risk governance. Lu Lei proposed three hopes to market institutions: actively respond to and implement the industry self-regulatory convention, with payment security and risk prevention as the bottom line, and consumer rights protection as the focal point; continuously track the trends of cutting-edge technologies such as large models and intelligent agents both domestically and internationally, and build technical reserves and application capabilities; adhere to the principle of rules and standards first, strengthen coordination and compatibility among different protocols and standards, and cooperate with regulatory authorities to promote the construction of a foundational protocol and technical standard system for intelligent agent payments.

Enjin's ERC-1155 "Crypto Items" allows each item to route transfers through a dedicated item adapter. Attackers register and use malicious transfer adapters to bypass owner approval checks, allowing their vulnerable contracts to extract ENJ-supported items from about 52 unrelated holder wallets without approval via transferFrom.Subsequently, the attackers call melt() on each stolen item, redeeming 500 ENJ for each item from the platform's reserves.

NVIDIA stated that it will ship both Blackwell and Rubin architecture systems in the future, and is currently facing certain supply constraints.

Indian AI infrastructure company AM Intelligence has ordered 9,000 sets of NVIDIA Vera Rubin systems, planning to deploy them in southern India next year. The company's clients include large cloud service providers, AI laboratories, and institutions developing local AI models.

This week, U.S. cryptocurrency policy has seen intensive progress. The Trump administration has pushed for new advancements in the CLARITY Act, the SEC has proposed a draft of regulatory rules for cryptocurrency assets for the first time, and the CFTC has stated that if congressional legislation stalls, it will promote the establishment of an independent regulatory framework for the cryptocurrency market. Trump met with leaders from several cryptocurrency companies at the White House this week and publicly called on Congress to pass a "fair version" of the CLARITY Act. Representatives from Coinbase, a16z, Ripple, Kraken, and other industry participants attended the meeting, focusing on the bill's impact on U.S. jobs, innovation, and attracting cryptocurrency companies back. Currently, the main obstacles to advancing the bill are concentrated on certain ethical clauses. Trump believes that the relevant provisions may target individuals, but industry insiders are pushing both sides to find a compromise to facilitate bipartisan support.CFTC Chairman Mike Selig stated that the CLARITY Act is key to avoiding regulatory uncertainty. If Congress continues to delay, the CFTC will use its existing authority to formulate regulatory rules for the cryptocurrency asset market. Meanwhile, the U.S. SEC has officially proposed a "Crypto Assets Rule Framework," planning to allow certain cryptocurrency financing to be exempt from full securities registration under specific conditions, including a cumulative financing cap of $5 million over four years or an annual limit of $75 million, and providing conditional safe harbor for certain token projects. Additionally, the SEC is considering limiting certain state securities registration requirements to provide a clearer compliance path for U.S. cryptocurrency companies. Market participants believe that recent actions by U.S. regulators indicate that Washington is shifting from a previous enforcement-based regulatory model to establishing a systematic regulatory framework for cryptocurrency assets.On the other hand, former Signature Bank Chairman Scott Shay has launched the N3XT Digital Dollar (NDD) digital dollar deposit project, attempting to challenge the stablecoin market. NDD operates on a public blockchain, enabling 24/7 dollar transfers, and is backed one-to-one by cash and short-term U.S. Treasury bonds. Shay stated that banks can leverage blockchain technology to create a payment system similar to stablecoins while maintaining the dollar credit advantage of the traditional financial system. The project is seen as a new attempt by banks to respond to the expansion of stablecoins. Additionally, the cryptocurrency investment market is entering a new cycle. Dragonfly partner Rob Hadick stated that although AI is attracting significant capital, cryptocurrency startup activity is still recovering, and future predictions of market, institutional applications, and improvements in U.S. regulation may drive new growth in the industry.

DeepSeek announced the first batch of Agent scores for V4-Flash-Vision-Exp. In the evaluation of 4 multimodal Agents, it achieved 2 wins and 2 losses against Opus 4.8: Agents' Last Exam 27.3 vs 25.7, ZeroBench 35.0 vs 34.0; ApexBench 36.5 vs 39.4, Chartography 64.3 vs 65.0.Compared to the pure text version V4-Flash-0731, the visual version improved from 26.2 to 36.5 in ApexBench, and from 25.2 to 27.3 in Agents' Last Exam. The official note states that the pure text version ignores multimodal content, thus mainly reflecting the capabilities after adding visual input. After adding visual input, the text Agent's capabilities did not significantly decline, with 6 out of 7 text evaluations higher than V4-Flash-0731, such as DeepSWE rising from 54.4 to 59.3 (surpassing Opus 4.8's 58.0), and Toolathlon at 75.9 nearly matching Opus 4.8's 76.2.These results come from DeepSeek's official self-testing, not from a third-party independent ranking; the public Code Agent text task used DeepSeek Harness in minimalist mode, with the inference setting at max.