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The tokenized asset data platform RootData has reached a deep data cooperation with Payward, the parent company of Kraken, to provide financing and token economics-related data support, assisting in data decision-making in scenarios such as information disclosure, tokenized stocks, institutional services, and business expansion.Payward is the underlying financial infrastructure for Kraken and its ever-growing family of businesses. Its operations cover four main pillars: trading, banking, asset management, and B2B services, with its brands showing growth in areas such as tokenized stocks, derivatives, stablecoin payments, and institutional settlement.Against the backdrop of the accelerating wave of RWA and tokenization, the data synergy between the two parties is expected to help Payward achieve more efficient business expansion while also strengthening RootData's position as a core data infrastructure in the industry. Currently, RootData's API has over 260 cumulative clients, covering well-known platforms such as Ethereum Foundation, Binance Wallet, OKX Wallet, CertiK, Coinglass, and Coinone.

Google DeepMind researchers Zhengxuan Wu, Yuxuan Li, Oyvind Tafjord, and Been Kim released a preprint paper titled "XYEval: Agents say yes to bad advice," proposing a meta-evaluation framework XYEval to assess the performance of agents when faced with misleading suggestions from users. The paper extends the "XY problem" to the agent scenario, where the user inquires about their attempted solution X rather than the actual problem Y.XYEval retains the original task environment and verifiable answers, only adding seemingly reasonable but misleading user suggestions in the instructions. The misleading suggestions are generated by a generator after seeing the complete task and are appended in the form of confident suggestions rather than hard requirements, allowing the original task to remain solvable. The evaluation covers six benchmarks: τ2-bench, SWE-bench Verified, SWE-bench Pro, Terminal-Bench, Humanity's Last Exam, and MCP-Atlas, along with five models, where the misleading suggestions for τ2-bench are generated based on rules set by human experts.The paper states that the performance significantly declines after the XY mutation, with the relative drop reaching up to 46.7%. On τ2-bench, when faced with users who require a detailed explanation before accepting a better solution, the performance drops even more. Encouraging models to recognize the XY problem through simple system instructions only partially alleviates the issue. The related code is published in the GitHub repository google-deepmind/xyeval.

According to the report by the Science and Technology Innovation Board Daily, citing the Daily Economic News, the latest data from OpenRouter shows that last week (from October 19 to 25), the total call volume of global AI large models was 188 trillion tokens, a month-on-month increase of 14.63%. The top five global call volumes last week were all Chinese AI large models, with DeepSeek V4.1-Flash-1017 ranking first, having a weekly call volume of 33.6 trillion tokens, a month-on-month increase of 801%.Among the models listed during the same period, the weekly call volume of Chinese AI large models was 93.54 trillion tokens, a month-on-month increase of 18.14%; the weekly call volume of American AI large models was 22.47 trillion tokens, a month-on-month increase of 29.44%. The weekly call volume of Chinese large models has exceeded that of the United States for twenty-six consecutive weeks, ranking first in the world.

On October 23, B.AI announced the domestic model brand Token weekly ranking from October 16 to 22: DeepSeek continues to lead, with Xiaomi MiMo closely following, with only a difference of 16.54 B Tokens. Xiaomi has seen growth for 4 consecutive weeks, and the platform Token usage ratio has increased by 8.13 percentage points.The competition in the mid-tier is heating up, with MiniMax experiencing a month-on-month increase of over 5,200%, becoming this week's growth dark horse. Qwen saw a month-on-month growth of 80.86%, narrowing the gap with the third-place Zai to 0.18%. Popular model discounts are ongoing: DeepSeek-V4.1-Flash-1017 enjoys a 40% discount, Qwen3.8-Flash enjoys a 20% discount, and GLM-5.3-Flash enjoys a 30% discount. B.AI continues to gather high-quality models, helping developers unlock diverse AI capabilities at low costs. Welcome to log in to b.ai to explore.

According to People's Finance News, regarding DeepSeek's comprehensive open-sourcing of its internally used AI inference framework DeepInfer, Zhou Hongyi, the founder of 360, stated that this reflects a kind of technological confidence and, more importantly, a philosophy of open-source inclusiveness.Zhou Hongyi also mentioned that looking deeper, this indicates that the struggle for technological sovereignty in the AI era has arrived. He revealed that 360 has developed a sovereign AI operating system, which is currently in use in some government and enterprise units.

CCTV's "Yuyuantan Tian" disclosed that after China launched the AI technology export registration management on October 16, DeepSeek and MiniMax have successfully completed their registration and the related technology has been open-sourced and authorized for overseas use.Currently, the new catalog is still open for comments, and a temporary registration system is being implemented. The Ministry of Commerce previously clarified that technologies that have entered the public domain through open-source are not included in the management scope, and there are automatic licensing and other facilitative measures for new technology open-sourcing, which can basically be reported and released immediately. Providing model services overseas through API, web pages, and apps is also not within the scope of this large model technology export management.

According to the "Science and Technology Innovation Board Daily," the artificial intelligence company DeepSeek has introduced multiple industrial and financial investors in its new round of financing, including Legend Holdings' investment platform Junlian Capital, semiconductor-focused Stone Creek Capital, and Geely, among others.At the same time, DeepSeek has hired CITIC Securities to provide advisory services for its IPO and has introduced a new Chief Financial Officer in September this year. Junlian Capital and Lenovo Group are both part of the Legend Holdings system, with Lenovo Group being the core industrial company under Legend Holdings, and Junlian Capital serving as its important investment platform. Junlian Capital's participation in DeepSeek's financing also signifies that capital from the Lenovo system has officially entered DeepSeek's shareholder camp.

According to official news from Bitget, the platform announced an upgrade to its RWA strategy, further expanding its tokenized stock business from asset trading access to institutional-level liquidity infrastructure construction. This upgrade introduces the Super Match Engine, breaking through the traditional single model of direct connection to brokers, adopting an internal matching priority mechanism, and providing market makers with lower latency trade execution, clearer liquidity distribution, and more efficient capital utilization through exclusive quoting channels and layered depth market data. At the same time, Super Match supports differentiated order processing and market services to meet the diverse trading and operational needs of institutional traders.Previously, Bitget launched the rToken US stock transfer function on October 13, supporting over 3,000 US stocks and ETFs. Users can transfer eligible stock assets from traditional brokerage accounts to Bitget, and once the stocks are credited, they will be automatically converted into US stock spot rTokens based on the corresponding number of shares. On this basis, relying on the Super Match framework, the efficiency of US stock trading will be continuously enhanced.Bitget CEO Gracy Chen stated that the next phase of tokenized asset development is crucial for bridging the asset and liquidity channels between traditional finance and the digital asset market. Bitget will continue to improve cross-market trading infrastructure, promote the application of rToken in scenarios such as spot trading, lending, margin, and asset management, enhance asset liquidity and capital efficiency, and deepen the strategic layout of the panoramic exchange (UEX).

According to Bloomberg, DeepSeek raised approximately 100 billion yuan (about 15 billion USD) in its latest round of financing, making it one of the largest financings in China. Insiders said that the company, headquartered in Hangzhou, raised its financing target at least twice during negotiations with investors, first increasing it from 50 billion to 80 billion, and finally reaching the aforementioned amount.CATL and Tencent are among the largest investors in this round. This financing will be used to support DeepSeek's competition globally with American AI companies such as Anthropic and OpenAI.

DeepSeek announced the full open-source of its internal inference framework DeepInfer, and simultaneously open-sourced the production-level token encoding and decoding component deepseek-recipe. DeepInfer integrates high-performance operators and a deeply optimized inference engine, supporting distributed inference, speculative decoding, SWA Bounded Replay, and structured output, compatible with NVIDIA and Huawei Ascend platforms.DeepSeek stated that it has implemented high throughput and low latency large-scale inference services for DeepSeek V4.1 Flash based on DeepInfer, and future inference code and optimizations for new models will continue to be updated here. deepseek-recipe is fully aligned with the processing logic of the DeepSeek official API, aiming to ensure that the community receives an experience consistent with the official deployment. The open-source repository and technical report have been released simultaneously.

The AI model evaluation platform Arena announced that DeepSeek-V4.1-Flash-20261017 (Max) has ranked first among open-source models in Agent Arena and 11th overall. Based on approximately 7,500 real usage sessions, this model shows a comprehensive net improvement of about 5.1% compared to the average model, with a median single-task cost of about $0.20.This version ranks first among open-source models in four metrics: task success confirmation, user positive and negative feedback, reliability of Bash command execution, and guideability, with the task success confirmation metric ranking 8th overall.

According to The Information, DeepSeek is collaborating closely with Huawei to jointly design the next generation of AI chips, aiming to build models that do not rely on NVIDIA's computing power. Insiders revealed that Huawei engineers have entered DeepSeek's office to understand its model architecture and algorithm requirements, and to test how the chips handle data transmission and compression, with the first compatible chip targeting Ascend 950DT.The report pointed out that this move comes as China pushes to reduce its dependence on American chips. Limited by TSMC's foundry services and U.S. export controls, Huawei's Ascend 950DT is planned for release in 2027, but mass production may be delayed until 2028. To address the chip shortage, DeepSeek is using the TileLang programming language to bypass CUDA restrictions, while still attempting to acquire the banned NVIDIA Blackwell chips through third-party data centers. In addition, DeepSeek is forming a chip team and has begun testing clusters with over 1,000 processors.

According to "Du Jia," the Meituan AI team has launched the AI Agent skill platform DeepSkill, which currently includes over 370,000 validated Skill tools that have been tested through real tasks, nearly doubling from 130,000 at the beginning of September.The platform does not use a traditional directory search model; users can directly describe their task requirements, and the platform automatically breaks down and matches candidate Skills from the library. The platform will scan and analyze all content of the Skills, outputting an analysis report that includes capability boundaries, tool invocation, potential risks, and data security reviews. It also features trend rankings on GitHub, authoritative source rankings, and market hot search rankings. Currently, major companies such as Tencent, ByteDance, and Alibaba have made arrangements in the Skill platform field.

The U.S. Department of Homeland Security (DHS) instructed U.S. civil agencies on Monday to remove products from the Chinese AI company DeepSeek from government IT systems, as well as any third-party services built on that model, and to prohibit new procurements. The notice stated that using DeepSeek could lead to the transfer of sensitive data to China and could generate intelligence targeting U.S. individuals and institutions. DHS indicated that these models constitute "multiple threat vectors."The ban targets not only DeepSeek's own applications but also covers third-party services based on its development. A DHS memorandum from July was made public on Monday, which had previously requested agencies to monitor the risks related to DeepSeek in the traffic in and out of government websites. The U.S. Department of Commerce, the Navy, and the states of New York, Tennessee, and Virginia had previously restricted DeepSeek. The Federal Communications Commission (FCC) will vote on October 29 to decide whether to ban all Chinese laboratories from testing electronic products used in the U.S.DeepSeek is a startup based in Hangzhou, and its open-source model attracted widespread attention on January 27, 2025, with development costs of less than $5 million, leading to a 16% drop in Nvidia's stock price that day, evaporating about $600 billion in market value. In April 2025, the U.S. House of Representatives' Special Committee on China Issues stated that DeepSeek might secretly send U.S. user data to the Chinese government and may have used about 60,000 Nvidia chips, of which 20,000 were subject to U.S. export controls. The V4-Pro model preview released by DeepSeek in April this year was priced about 98% lower than OpenAI's GPT-5.5 Pro and was made available for free download and modification under the MIT license; this week it also released an updated version of the V4.1-Flash model focused on efficiency optimization.

On October 19, the B.AI platform announced that DeepSeek V4.1 Flash has seamlessly upgraded to the latest V4.1 Flash-1017 version, further optimizing response speed, inference quality, and operational stability, bringing a more efficient and intelligent AI experience to developers and users.This upgrade continues the seamless switching method, allowing users to keep the same model ID, and existing API calls and workflow configurations can remain unchanged, enabling direct access to the new model capabilities, significantly reducing migration and adaptation costs. B.AI stated that it will continue to follow the iteration of cutting-edge models, providing developers with more stable and cost-effective model services.

Apple Inc. announced the expansion of App Store review rules to include the regulation of AI-generated non-consensual intimate images. The platform had previously banned pornographic content, and the new rules require developers to proactively prevent and remove AI-generated deepfake content. If effective action is not taken, applications containing such violations will be forcibly removed from the store.The updated Clause 1.2 specifically mentions applications that create AI content and names controversial products such as Grok. Previously, users complained that Grok, a product of xAI, was used to create nude and sexually suggestive deepfake images. Earlier this year, Apple warned xAI that if such content continued to spread, Grok would be removed from the App Store; subsequently, xAI implemented safety measures, and the updated version was approved.The newly added Clause 2.5.19 targets so-called "bait-and-switch" tactics, stating that if developers hide new features or modules outside of the submitted review version, especially harmful features like "de-clothing" that are activated only after approval, they may be removed from both the App Store and the Apple Developer Program. Updates to Section 5 will also extend the ban on applications promoting human trafficking or child exploitation to alternative application distribution channels. Apple stated that when developers violate these guidelines, the related applications will be removed, and the developer's eligibility will be terminated.

According to Bloomberg, Asian semiconductor stocks continued to weaken on Monday. The Bloomberg Asia Chip Index fell more than 2%, reaching its lowest level since July, with TSMC, SK Hynix, and Advantest being the main drags. The Korea Composite Stock Price Index recorded its largest weekly decline since October 2008 last week, dropping more than 3% at one point on Monday before recovering some ground; the Nikkei 225 index fell 2.3% at one point, and the Taiwan Weighted Index dropped 2%.Market concerns stem from two aspects. First, the pressure on financing for AI infrastructure in the United States continues to ferment, with CoreWeave's financing capabilities being questioned and the IPO expectations for Anthropic and Nscale cooling. Second, Chinese AI company DeepSeek released a new model update over the weekend, claiming faster operation speeds and lower resource consumption, raising concerns about the potential decrease in storage capacity required for AI models and the possible impact on chip demand.Kang DaeKwun, CEO of Life Asset Management, stated that the market uncertainty is too high, making it difficult to determine when the Korean stock market will bottom out. Financing for U.S. corporate AI projects is one of the main risks, and the profitability of Korean chip companies still heavily relies on continuous investment in AI infrastructure by U.S. companies. This week, the earnings reports from tech giants like Meta and Tesla will be an important window to observe the growth momentum of AI capital expenditures.