testing

NVIDIA expects that with the support of capacity expansion in the United States, Taiwan, and Singapore, the total semiconductor testing capacity in 2027 will double compared to 2026.

According to "Du Jia," Tencent is conducting internal testing of an AI interactive content product for children and teenagers called "Dongle Duck," which includes a web version and a WeChat mini-program. The product is currently open for limited testing to parent-child users and teachers, using interactive content "Wonder Cards" as the main medium, allowing parents, teachers, and knowledge creators to use AI to create draggable, simulated, and operable interactive works from knowledge, experience, and creativity.Dongle Duck comes with a content community, accumulating ready-made Wonder Card materials that cover knowledge in various fields such as common life knowledge, art, humanities, and natural sciences. The formats include 3D models, games, picture books, and dynamic courseware. Parent-child scenarios can choose interactive bedtime picture books, rocket launch processes, electronic piano strings, motorcycle structures, and more for simulation; classroom scenarios can visualize physical concepts like friction and levers, and include built-in word puzzles and mini-games; extracurricular content includes miniature courtyard light and shadow simulations of museums, hydrological observation station transitions between dry and wet seasons, previews of pottery shapes and glaze colors, as well as models of electric fields, pulley systems, and the Pythagorean theorem.Parents, teachers, and knowledge creators can input ideas and use the built-in Agent to create picture books, games, dynamic courseware, 3D content, and memory cards. The platform features an inspiration wall and also supports adaptations of existing community works. "Du Jia" states that after entering the command to generate a game of Gomoku in the chat box, the AI will generate a mini-game in the right sidebar, supporting downloads, publishing to the community, or sharing with WeChat and QQ friends; the product also supports uploading recordings and direct dialogue input, turning existing materials into interactive knowledge.

Binance founder Zhao Changpeng responded on the X platform regarding the recent mass deletion of old tweets, stating that he was merely testing an AI tool to clean up past retweeted content and did not delete any original posts, so there is no need for the outside world to overinterpret.

The modular blockchain project Celestia announced the launch of Eden, a high-performance EVM chain running on Celestia. Celestia stated that Eden will serve as an "Agentic Commerce" experimental sandbox to test the behavior and infrastructure needs of AI Agents when autonomously making payments, trading, and calling models on-chain.Celestia indicated that as AI Agents begin to participate in more frequent on-chain transactions, the market demand for block space, real-time settlement, and low-friction payments will continue to rise. Eden will help teams observe what kind of transaction environment Agents need, how they manage funds, and how their on-chain behavior will affect network design.The first experimental project of Eden is Botfun, currently in closed testing. According to Celestia, participating Agents can issue tokens independently and trade around narratives generated by other Agents; each model inference call is paid on-chain via x402.Celestia claimed that this experiment briefly positioned Eden as one of the largest x402 networks by transaction count. From a technical configuration perspective, Eden is an EVM-compatible chain that supports atomic batch transactions, application-paid Gas, and larger smart contract deployments, with the native Gas token being TIA. These designs will reduce the friction of signatures and fees when Agents continuously execute payments, exchanges, and interactions.

According to The Defiant, OKX announced the launch of the Onchain Spot and Perps public beta within its app. Qualified users can use free points (XP) to simulate trading in stock, index, and commodity markets, preparing for subsequent real fund trading. This simulated trading competition shares a prize pool of 250,000 USDT with Outcomes Season 3, running from October 14, 22:00 EST to November 14, 11:00. XP points have no cash value and cannot be withdrawn, transferred between accounts, or exchanged for financial instruments.The first simulated markets include gold, S&P 500 ETF, SpaceX, and Nvidia themes, with separate trading pairs for spot and perpetual contracts. Participants are testing trading strategies rather than purchasing shares of the aforementioned companies. OKX's product announcement indicates that qualified customers come from Southeast Asia, Northeast Asia, the Commonwealth of Independent States, as well as the Middle East and North Africa; users must complete identity verification and use a passkey to open a dedicated on-chain account through their existing OKX account.The trading venue operates on Exchange OS built on X Layer, and OKX refers to this account as self-custodial, supporting a unified balance between spot, perpetual contracts, and Outcomes. The spot and perpetual markets share margin, eliminating the need for internal transfers between product accounts.OKX stated that after the competition ends, real fund trading will be opened, allowing users to fund their on-chain accounts from their OKX exchange accounts, with spot and perpetual contracts settled on-chain in USDS. The activity XP and positions will not convert to real fund positions.

Apple's Executive Chairman Cook revealed in Shanghai that Apple Smart has been approved in China.A test version will be launched later in October, with the first batch of features including real-time translation, writing tasks, and image removal, excluding Siri AI.

Alibaba's AI office product Qianwen Office released its e-commerce version on October 14 and is currently open for invitation testing. Users can switch to the "E-commerce Management" mode in Qianwen Office to experience it.According to public information, this version introduces cross-platform management dashboards, trend insights and selling point analysis, bulk generation of popular materials, and cross-platform ROI intelligent optimization for e-commerce clients' daily work scenarios. It has currently integrated with business consulting tools such as Shiji Canmou, Youzan, and Qianniu. Reports indicate that the project began preparations in June this year, entered a concentrated development phase in September, and is coordinated by Qianwen Office CEO Chen Yusen, with nearly a hundred employees participating. About 20% of the current paid users of Qianwen Office come from the e-commerce industry.

According to "Du Jia," Tencent is conducting a small-scale test of its personal investment analysis assistant "Rena Lan Cai," which has a PC version and a WeChat mini-program, supporting connection to WeChat. This product is positioned as an AI assistant for individual investors, helping users obtain and understand market and company information, and is currently in a small-scale testing phase.The web version breaks down the investment research workflow into visual modules, with core features including market quick reads, individual stock tracking, and AI Q&A. The market quick read summarizes global market dynamics, continuously updated in the morning, noon, closing, and evening, and associates market information with the user's watchlist; the left sidebar allows users to customize stocks of interest and displays real-time market data, while the right side features an intelligent Q&A panel linked to the day's quick read content, supporting follow-up questions about industry rankings, cash flow in financial reports, and more. In addition to the PC version, Rena Lan Cai is also launched as a WeChat mini-program, with basic functionality aligned across both platforms and conversation records shared. The product also appears in the WeChat chat list as a WeChat ClawBot intelligent entity, allowing users to directly access investment research capabilities in the chat window.The report states that Alibaba is also internally testing its AI investment research product Qovest, and Baidu's previously released Kuku AI is also focusing on investment research, as major companies collectively enter the personal investor AI investment research space. Rena Lan Cai essentially serves as an investment research assistance tool, not providing investment advice and avoiding direct trading compliance red lines.

The Trump administration plans to transfer three senior officials from the U.S. artificial intelligence model testing agency CAISSI to the White House, reporting directly to White House technology policy director Michael Kratsios and national cyber director Sean Cairncross. The government had previously considered moving the entire agency to the White House but ultimately only adjusted part of the senior leadership; the related transfers have not yet been completed, and the identities of the three officials have not been disclosed. Since its establishment by the Biden administration, the agency has used three different names in less than two years, and Chris Fall, the head, resigned just three months after taking office in July of this year, with a successor yet to be determined.CAISSI is affiliated with the National Institute of Standards and Technology (NIST) under the U.S. Department of Commerce, has about 40 employees, and an annual budget of approximately $15 million, responsible for model safety assessments. According to informed sources, the agency is collaborating with the National Security Agency to test OpenAI's Astra and Anthropic's Mythos before public release; it has previously assessed DeepSeek V4 Pro and Zhiyuan GLM-5.3. Google confirmed that Gemini 4 Argon has participated in the voluntary testing process before the U.S. government release. The White House hopes that this adjustment will allow model testing experts to be more directly involved in policy decision-making.

The artificial intelligence company Zhipu released a legal-specific model GLM-Legal, which is further trained based on GLM-5.3-Flash. In the Harvey LAB evaluation covering 24 categories of legal services, the task pass rate increased from 6.7% to 19.2%, nearly tripling the original version, surpassing models like Kimi K3 and Claude Fable 5, and ranking seventh on the Vals AI leaderboard.When reviewing software service contracts, GLM-Legal suggested shortening the termination notice period from 60 days to 30 days and required service providers to offer up to 90 days of handover support. In another software project dispute involving 40 documents, it found that the company reported to the client that the project was 60% complete, while internal records indicated only about 41%. It also identified emails from the CEO requesting to conceal risks and continue charging, and analyzed potential legal liabilities in conjunction with contract terms.According to independent evaluations by Vals AI, the cost for GLM-Legal to complete a test is $0.15, while the closely performing Gemini 4 Argon costs $10.55, a cost difference of about 70 times. GLM-Legal took an average of 72 minutes, while the latter took 44 minutes. Zhipu stated that the model was trained specifically on legal data and conducted reinforcement learning in tens of thousands of simulated legal environments. Currently, GLM-Legal requires an API trial application.

Cryptocurrency exchange Binance announced the official launch of the personalized trading interface Binance AI for global English users. This free tool is based on generative UI and can customize market information, portfolio tracking, and trading functions according to users' interests and trading experience levels, with more language versions being rolled out gradually. A Binance spokesperson revealed to The Block that since testing began on September 7, approximately 150,000 users have participated in the trial.The features of Binance AI include AI-generated portfolio performance summaries, analysis of popular volatile assets, voice alerts, and on-demand text or audio market briefings. The product was demonstrated in a live broadcast last week, alongside the upcoming Binance AI Pro. Binance's Vice President of Product, Jeff Li, stated that the market is becoming increasingly complex, but tools for understanding the market should be easier to use. This interface aims to make market information more accessible to users, whether they are novice traders or managing more complex positions.Binance Co-CEO Richard Teng described the product in an announcement on October 5 as part of the company's efforts to make financial information more accessible. He stated that finance has always been built for those who already understand it, blockchain allows everyone to enter the market, and AI empowers everyone with the knowledge to navigate the market. In April of this year, Teng discussed the company's super app strategy with The Block, which includes plans on how to utilize artificial intelligence.

Anthropic announced the expansion of access to its state-of-the-art AI models, allowing verified institutions to use models such as Claude Opus 5.5, Claude Sonnet 5.5, and Claude Mythos 5.1 for cybersecurity testing.U.S. government agencies, financial institutions, and large software vendors participating in the "Project Glasswing" project will gain open eligibility, and newly joined institutions must be jointly reviewed by Anthropic and the U.S. government.

R25 today announced that its core product R25 Studio, based on the 2 architecture, has officially launched public testing. R25 Studio is dedicated to realizing the vision of "everyone can become an asset manager," fully opening up the capabilities for the establishment, operation, and distribution of institutional-level funds. By abstracting cumbersome legal documents, backend systems, and compliance processes into configurable smart contracts, R25 Studio has successfully compressed the fund establishment cycle from several months to just 10 minutes.The platform revolves around Build, Manage, Earn, and Distribute, covering Vault creation, subscription and redemption, investment management, fee earning, and distribution; asset managers can autonomously set investment parameters, management fees, and performance fee rates on-chain without building complex fund structures from scratch, generate exclusive Vault Tokens/Shares, and list the Vault on channels such as Dapp and Topnod. The platform also provides performance data such as NAV, APY, cumulative returns, and maximum drawdown, helping asset managers monitor strategy performance in real-time.Previously, in Phase 1, Axil launched a private credit Vault on R25 and successfully surpassed $130 million in TVL, validating the reliability of this infrastructure. The registration channel for the first batch of managers is now open.

According to Bloomberg, Morgan Stanley has established a digital asset lab to test technologies such as stablecoins, tokenization, and decentralized finance (DeFi) applications. The Wall Street bank is exploring how blockchain-based systems can be applied to its various businesses.Megan Brewer, head of market innovation and labs at Morgan Stanley, stated in an interview that the initiative is part of the company's existing innovation lab network. This network provides employees with dedicated facilities to explore emerging technologies while avoiding risks to the bank's core systems.

Polymarket's Vice President Josh stated on platform X that the team is fully developing a complete Central Limit Order Book (CLOB) based on Rust, as the current CLOB is the root cause of most issues on the platform.According to the plan, the complete order lifecycle process, including trading, settlement, on-chain interaction, indexer, and engine notifications, will be completed in the testing environment in October; in November, all production traffic will be mirrored to the new trading cluster, and results will be compared with the existing system. At the same time, testing permissions will be opened to market makers, and the migration switch plan will be locked in, with two complete drills to be completed before the official switch.Josh also mentioned that if progress goes smoothly, the new system will be officially released, and the migration is expected to require little or no changes for market makers and developers.

According to First Financial, the artificial intelligence company MiniMax has launched the text model M3.1-Flash-Preview and started public testing. MiniMax stated that this model supports native multimodal capabilities and a million-context window, enabling tasks such as bug fixing and complete feature development, as well as participating in problem localization, code implementation, and testing verification.After the launch of M3.1-Flash-Preview, some developers linked it with the anonymous model Space Bunny. This model, known as "Space Bunny," was launched on September 23 and topped the daily usage charts on the model aggregation platform OpenRouter and the programming platform OpenCode during the Mid-Autumn Festival.

BIT announces that the Hong Kong stock trading feature will enter internal testing starting today, with a targeted public beta launch on October 5 and trading opening on October 12. Users can directly participate in trading using stablecoins.The first phase supports full trading of all stocks on the Hong Kong Stock Exchange's main board and the Growth Enterprise Market (GEM), IPO subscriptions, and financing trading. Hong Kong stocks and U.S. stocks share the same account system, allowing users with a BIT U.S. stock account to directly enable Hong Kong stock trading. During the public beta period, priority experience slots will be granted to invited users; from the start of the public beta until the first month after the official launch (ending November 11), all users can enjoy zero-commission trading, zero interest and zero subscription fees for financing new shares, a HK$100 Hong Kong stock platform fee deduction card, and a Hong Kong stock L2 market data card. Specific qualifications and rules are subject to BIT's official announcement.Elio Cui, head of BIT's brokerage business, stated: "The launch of BIT's Hong Kong stock trading provides customers with a more comprehensive cross-market investment tool. As a key hub connecting domestic and foreign liquidity, the Hong Kong capital market concentrates scarce high-growth and high-dividend quality targets, making it a core channel for investors to conduct cross-regional asset allocation and share regional growth dividends. Relying on the BIT account system, investors can flexibly allocate global mainstream quality assets such as U.S. stocks, Hong Kong stocks, and digital assets, truly achieving 'one account, global allocation' investment efficiency."

Recently, the socialized Meme trading platform Baola, strategically invested by Gate Ventures, has entered the product internal testing phase. Baola is positioned as a socialized trading platform aimed at the Meme market, exploring the combination of social content and Meme trading around aspects such as hot topic discovery, market information tracking, community interaction, and trading participation.According to the official introduction, Baola's brand proposition is "Your next Meme is on Baola," aggregating information such as popular calls, KOL dynamics, on-chain trading data, and community interactions. Users can view Caller, the number of token mentions, market capitalization at the time of the call, and subsequent peak performance, and discover active market participants through features like KOL rankings and Callout boards, gaining insights into market hotspots and participant performance from multiple dimensions.In terms of community interaction, Baola supports users in independently publishing calls and market opinions, and allows them to continuously follow interested Callers through Follow. The platform also combines KOL public calls with on-chain trading dynamics, providing information on historical calls, recent performance, and buying and selling behaviors, further linking opinion sharing, hot topic discovery, and trading participation. Currently, Baola has entered the product internal testing phase and is continuously improving the socialized trading experience in the Meme field. Users can visit the official website (https://bao.la/) for more details.

According to internal information obtained by 404 Media and Reuters, after Meta expanded the Muse "Call for You" testing, it was revealed that some calls were actually completed by real people. Muse can transfer tasks to real contractors at call centers, who then make calls on behalf of users and fulfill requests. Some testers only realized there was human intervention after the call ended.Meta adopted this approach mainly to improve success rates. Internal testing showed that the success rate of phone tasks could reach 95% to 98% with human intervention, higher than pure AI. Some merchants hang up directly when they hear the other party is AI, and there are also testers in the community who reported that merchants hung up after Muse identified itself as an AI assistant.Human intervention raises privacy concerns, as users originally believed their information was only shared with AI, but it may actually be seen by outsourced personnel. Some people within Meta also questioned that providing privacy training to contractors does not equate to a real safety mechanism. A Meta official later admitted that failing to inform testers in advance about human intervention was a mistake, and this feature has been rolled back. Meta stated that the phone function is still in testing and will only be officially launched after ensuring safety, privacy, and clear communication.

According to media reports citing informed sources, Anthropic and OpenAI had considered signing a legally binding agreement to conduct stress tests on each other's large models. Earlier this year, the two companies and their legal teams discussed this plan, allowing competitors to deeply test each other's latest available models to identify potential risks or security vulnerabilities. Such tests would only apply to commercially available models, and both parties agreed not to retain each other's data. The report did not clarify whether the two parties ultimately reached such an agreement.Recently, the idea of implementing some form of peer review among top AI laboratories has gained attention. SpaceX CEO Elon Musk suggested last week that several leading large model companies in the United States, along with some Chinese AI companies, should allow competitors to conduct cross-testing. Musk stated: All AI companies have a set of testing tools, and having each company run their tests using another company's tools might be the best thing to ensure their own safety.Earlier this month, Anthropic researcher Jacob Coxon announced his resignation and warned leading artificial intelligence companies about accelerating development without proper safeguards. Subsequently, Anthropic CEO Dario Amodei called for the industry to slow down the pace of AI development and introduce third-party assessment mechanisms. Last Friday, Anthropic announced a partnership with Accenture, with Accenture serving as a third-party assessment agency to evaluate the safety compliance of its cutting-edge AI models.