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The official account of Alibaba Cloud stated that the large model company Step Star has globally released its flagship open-source model Step 5 Preview, positioned as a primary working model for real-world intelligent agent tasks, excelling in AI programming, software engineering, professional knowledge work, and financial scenarios. The model has a total of 600 billion parameters and 27 billion active parameters, utilizing sparse MoE, with a maximum context window of 1 million, capable of processing text, images, and videos. The article mentions that it recently ranked second globally in both weekly and daily call volume on OpenRouter. On the day of the release, Alibaba Cloud announced the completion of DAY0 adaptation, optimized for joint inference based on chips, super node instances, and models, with inference computing power provided by the Lingjun super node.Step Star has developed its own intelligent agent reinforcement learning training platform, with the sandbox platform managed by Alibaba Cloud. The solution is based on Alibaba Cloud's Agent Sandbox and Kubernetes container service, aimed at elastic computing power in training mode, claiming to create tens of thousands of sandboxes in a single minute, with a maximum concurrency of up to one million, compatible with E2B API, and providing native Kubernetes interfaces. Through multi-level image caching, intelligent pre-scheduling, and control link optimization, it achieves millisecond-level application and minute-level creation of 30,000 sandboxes, with the sandbox lifecycle uniformly managed by Alibaba Cloud's backend.In terms of storage, each Pod starts with 15GB of free temporary storage, automatically increasing by 30GB each time when usage exceeds 70%, up to a maximum of 300GB. For security, MicroVM-level isolation is adopted by default, covering computing, networking, storage, and permissions, with zero-trust access to cloud products and large model interfaces. The results provided in the article include: a 90% reduction in image startup time, model evaluation cycles compressed from weekly to daily, and an average savings of about 40% on EBS storage costs; relying on ACK One Fleet, it can support the stable operation of hundreds of thousands of sandboxes simultaneously.

According to "Du Jia," Alibaba Cloud merged its original IQS information query service with CleverSee in mid-September to create a brand new AI-native search service product called CleverSee (Chinese name "Kai Xi"), providing integrated search and Q&A services for enterprise clients.CleverSee is positioned as an AI-native retrieval tool specifically designed to provide understandable high-quality information sources for large models and intelligent agents. Its core includes three sub-products: networked inquiry, vertical domain inquiry, and enterprise internal search, covering public internet information, semi-public information in vertical fields, and private data within enterprises, respectively. The networked inquiry supports intent recognition, multi-turn thinking, and searching while thinking, and can return answers with source citations as well as structured cards for weather, stock prices, etc.; the enterprise internal search is currently in a targeted experience testing phase.Previously, Tencent Cloud opened "Yuanbao Search" to the public on October 20, and ByteDance's Volcano Engine also launched Viking AI Search, accelerating the deployment of AI search infrastructure among domestic cloud vendors for enterprise applications.

The on-chain data platform DefiLlama announced a collaboration with the prediction market platform Trueo to launch a new prediction market settled with DefiLlama data, covering protocol revenue and the probability of vulnerabilities occurring.Revenue markets include protocol revenues from Hyperliquid, Pump, Aero, Uniswap, Collector Crypt, and Papertrade. Vulnerability markets cover DeFi hacking incidents and the probability of specific protocols being exploited, including whether Aave and Morpho will experience vulnerabilities this month, as well as weekly and monthly markets for the scale of the largest hacking events.Other on-chain indicator markets include the RWA market capitalization and DEX trading volume of Robinhood Chain, as well as who will have a higher TVL this weekend between Solana and Base.

According to a report by Reuters, on October 20, ByteDance, Alibaba, and Tencent have ordered over 3 million RTX PRO 5500 graphics cards from NVIDIA, with a unit price of approximately $11,400, totaling over $35 billion. Due to U.S. export controls, this chip does not include the advanced Blackwell architecture and is currently the most powerful compliant NVIDIA chip available for purchase in China.Insiders have indicated that due to demand far exceeding production capacity, NVIDIA has informed partners that it may only be able to fulfill 5% to 10% of orders. Chinese tech companies primarily use this chip for AI inference and post-training model generation. Although its performance is far inferior to the banned B300 and H200 chips, in the context of ongoing computing power shortages and restrictions, the RTX PRO 5500 has become an attractive alternative. Additionally, NVIDIA plans to shift most of TSMC's capacity to the new generation Rubin products starting in 2027. Currently, ByteDance, Alibaba, Tencent, and NVIDIA have not commented on this.

According to Catcher Predict monitoring, in the market prediction on Polymarket for the event "Japan Women's Open: Caty McNally vs Sinja Kraus," the sub-market "Japan Women's Open: Caty McNally vs Sinja Kraus Second Set Winner" saw the winning probability for the option "Caty McNally" experience significant fluctuations, rising from 22% an hour ago to the current 50% (a fluctuation of 28%). Please note the impact of relevant breaking news.

At the 2026 RISC-V China Summit, Chief Scientist Meng Jianyi of Alibaba Damo Academy stated: So far, the Xuantie chips have steadily shipped over 6 billion units. Xuantie is a series of RISC-V processors launched by Alibaba Damo Academy.At the conference, Alibaba Damo Academy also released the first automotive-grade enhanced E908A chip. Meng Jianyi cited a prediction from Omida, stating that by 2030, the annual shipment volume of global RISC-V processors will grow by nearly 30% each year, and by 2030, the global market share of processor shipments will reach approximately 25%.

According to CME's "FedWatch" data, the probability of the Federal Reserve maintaining interest rates in October is 84.5%, while the probability of a 25 basis point rate hike is 15.5%.

During the IMF meeting in Bangkok, Federal Reserve Chairman Kevin Walsh stated that he would not predict the outcomes of the remaining two interest rate meetings this year and was unwilling to disclose potential actions in advance. He said, "This is a new chapter for the Federal Reserve; we no longer do this." Regarding the recent signals from colleagues indicating "no urgency to raise interest rates this month," he neither explicitly supported nor refuted them. Walsh reiterated that the Federal Reserve will achieve price stability and noted that the global economy has largely aligned with central bank expectations since the interest rate hike in September, while describing the recent actions of various central banks as a synchronized tightening of monetary policy in most regions of the world.In September, the Federal Reserve unanimously raised interest rates by 25 basis points, increasing the target range for the federal funds rate to 3.75% to 4%. At that time, most officials expected at least one more rate hike this year. Despite the core CPI rising by 0.33% month-on-month in September, marking a strong increase for the second consecutive month, and the latest producer price data also being robust, Walsh hardly mentioned this week's inflation report and did not significantly attempt to change market expectations for the October meeting. Reports indicated that during his speech, the dollar weakened, and market bets on an interest rate hike in October dropped from about 30% to around 17%.Additionally, Walsh believes that the U.S. is experiencing significant investment growth and holds an optimistic view on economic resilience and the productivity boost brought by AI, but he warned that the development path will be "very bumpy," and the short-term impact of AI on employment remains unclear. DBS Bank macro strategist Wei Liang Chang stated that Walsh reiterated that artificial intelligence will improve productivity in the medium term, which may help ease inflation expectations and alleviate concerns about the Federal Reserve's consecutive rate hikes. Saxo Markets Chief Investment Strategist Charu Chanana noted that Walsh's refusal to commit to another rate hike led to some bets on Federal Reserve rate hikes falling flat, and related comments did not help the dollar following the release of strong inflation data.

According to Bloomberg, the cryptocurrency market is experiencing a tug-of-war between bulls and bears, with analysts still leaning bullish, but the speculative market is shifting towards defense, putting pressure on risk appetite. Bitcoin briefly fell below $80,000 for the first time in nearly a month; affected by the sell-off in the U.S. stock market's AI sector, risk assets retreated, and the bullish sentiment that the cryptocurrency market was trying to rebuild was once again thwarted.Jeff Anderson, head of STS Digital in the U.S., stated that inflation data will "severely impact risk appetite," and the market is entering a quiet period before the Federal Reserve's interest rate meeting, with interest rate expectations still uncertain. Nick Forster, founder of Derive.xyz, mentioned that in the past 24 hours, the market's pricing of Bitcoin's probability of rising to $100,000 before Christmas has decreased by 2.8 percentage points to 9.7%; long-term bullish bets have quickly retreated, short-term hedging demand has surged, and institutions are reassessing macro risk exposure as the interest rate outlook becomes unclear again.

Apple plans to launch Apple Smart through the iOS 27.3 system update in December, with the first batch of AI features released two years ago in the United States, covering iPhone, iPad, and Mac.Alibaba provides AI model capabilities, while Baidu is responsible for Siri and visual intelligence features.

According to The Defiant, Babylon is advancing a native Bitcoin collateralization plan for Aave V4. Under this proposal, the collateral will remain on the Bitcoin network, while the permissionless liquidation process will settle using WBTC.Currently, the risk parameters of the plan and subsequent governance votes are yet to be determined.

According to CME's "FedWatch" data, the probability of the Federal Reserve maintaining interest rates in October is 76.2%, while the probability of a 25 basis point rate hike is 23.8%.

According to Catcher Predict monitoring, in the predicted market Polymarket for the event "Shanghai Rolex Masters: Alexander Zverev vs. Alexander Bublik," the sub-market "Shanghai Rolex Masters: Alexander Zverev vs. Alexander Bublik" saw the winning probability of the "Alexander Zverev" option experience a sharp fluctuation, plummeting from 65.5% an hour ago to the current 19.5% (a fluctuation of 46%). Please note the impact of relevant breaking news.

Singapore, October 13, 2026, the BSC ecosystem AI Agent project NeoSoul today announced a strategic cooperation with Alibaba Cloud. NeoSoul has integrated Alibaba Cloud's AI model services into its Agentic Trading product NeoTrade, providing support for model inference and computation for autonomous trading agents; as the product develops and usage scales grow, both parties plan to further explore cloud-based AI technology collaboration.After users set trading rules in NeoTrade, the AI Agent will continuously track market changes, assess trading opportunities, and execute strategies within the authorized scope. The model inference and computation services provided by Alibaba Cloud will support the Agent in repeatedly updating judgments in response to market changes, providing computational resources for autonomous trading applications.Kaelan, co-founder of NeoSoul, stated that AI Agents are evolving from answering questions to continuous decision-making and autonomous execution, rapidly increasing the demands on underlying AI infrastructure; Alibaba Cloud's modeling and computing capabilities will support NeoTrade in handling larger-scale and more complex autonomous trading tasks, and explore the application boundaries of AI Agents in real financial scenarios. An Alibaba Cloud spokesperson stated that they will support the development of NeoTrade through model services and computing capabilities, and continue to explore technological collaboration aimed at next-generation AI Agent applications with NeoSoul.

On Tuesday, Alibaba Group launched the Qwen Glasses N1 series smart glasses at an event in Hangzhou, extending its artificial intelligence strategy into consumer electronics. The company claims to be a full-stack artificial intelligence provider in China, covering everything from data centers and software to end products. The series starts at a pre-discount price of 2999 yuan (approximately 450 USD). Bloomberg reported that this price is not lower than that of industry leader Meta's Ray-Ban smart glasses, with Alibaba aiming to compete on quality and functionality, not just price.Wu Jianjun, General Manager of Qwen AI Hardware Products, stated that the new glasses are equipped with an improved 50-megapixel camera and sensors. The Pro version is priced at 3499 yuan and features eye-tracking capabilities, with a standby time of 25 hours or 9 hours of music playback on a single charge. The new model is about a year after the first version released last November, integrating the Qwen AI assistant more closely and expanding its functionalities. Following Meta's example, Alibaba is trying to make smart glasses an entry point for its artificial intelligence tools and agents. Last month, Meta launched a simplified version of smart glasses without a camera, priced at 349 USD, primarily for interaction with the Muse AI assistant.

According to RootData, the quotes for exchange stocks and ETF perpetual contracts have slightly diverged. Alibaba, SanDisk, Robinhood, and JPMorgan Chase have seen slight increases compared to the after-hours reference prices from the last trading day, while the iShares Bitcoin ETF has seen a slight decrease:Alibaba (BABA) is currently priced at $110.58, up 0.23% from the last trading day's after-hours reference price of $110.33;SanDisk (SNDK) is currently priced at $1,562.94, up 0.22% from the last trading day's after-hours reference price of $1,559.48;iShares Bitcoin ETF (IBIT) is currently priced at $47.52, down 0.22% from the last trading day's after-hours reference price of $47.63;Robinhood (HOOD) is currently priced at $110.94, up 0.21% from the last trading day's after-hours reference price of $110.71;JPMorgan Chase (JPM) is currently priced at $335.12, up 0.19% from the last trading day's after-hours reference price of $334.47.

According to Polymarket data, the probability of the Federal Reserve raising interest rates by 25 basis points in October has dropped to 17%, while the probability of maintaining the current rate has risen to 84%. The trading volume for the related prediction event has reached 32 million dollars.

Alibaba Chairman Joe Tsai stated that open-source AI is the best way for Europe to reduce its dependence on American and Chinese technology and to establish technological autonomy. He urged Europe to build its own computing infrastructure for training and running AI models, stating that no country would want to fully trust another country's technology, as a change in government or circumstances could lead to the cutting off of technology supplies.Joe Tsai added that Europe has not fully utilized its AI researchers, as these talents often become targets for recruitment by laboratories in the United States and China. He called on Europe to focus on using proprietary industrial data to train artificial intelligence models for competitive advantage, citing Chinese manufacturing as an example, stating that Chinese factories possess valuable manufacturing data that could be highly valuable for training models. He also expressed optimism about the emergence of new cloud service providers in Europe in recent years, specifically professional cloud computing companies equipped with AI chip data centers.