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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.

Google (GOOG.O) announced the official launch of the Claude model deployment option managed by Anthropic on Google Cloud.

According to TheEnergyMag, AI cloud service provider Nebius Group N.V. has secured a $3.5 billion Senior Secured Financing Facility from Citibank, which will be used to support its global AI cloud computing expansion.

NVIDIA CEO Jensen Huang stated during an interview with CNBC reporter Arjun Kharpal at the GTC conference in Berlin on Thursday that the demand for neocloud is extremely high and its capabilities are extraordinary, but insufficient working capital is restricting growth. He mentioned that there is huge demand in multiple fields of artificial intelligence, and the capital demand far exceeds supply, a problem that will be resolved.Jensen Huang indicated that electricity is the main constraint on the expansion of artificial intelligence, with European electricity prices being higher. He believes that allocating scarce energy to companies like Nebius and Mistral is crucial for their growth. Investment can enter Europe, but local infrastructure must be established first; if European neocloud can build infrastructure locally, the artificial intelligence ecosystem and economy can start and remain in Europe. He added that the whole of Europe still needs more neocloud.NVIDIA is conducting media activities in Europe this month and has committed nearly $10 billion in investments to local companies, universities, and research institutions. Jensen Huang announced last week during his visit to London that the company has invested over $1 billion in five UK startups and is also investing in several French startups. He stated that NVIDIA is trying to kickstart the artificial intelligence economy in Europe, which has a wealth of technology, industrial experience, and research capabilities, and is ready to participate in and build a local artificial intelligence economy.

According to an official announcement from Railway, the cloud deployment platform Railway detected abnormal activity in the system that stores customer environment variables. Preliminary investigations indicate that an unauthorized third party may have accessed encrypted environment variables and obtained decrypted content from some of those variables, which may include API keys, database credentials, and image repository credentials.Railway believes this incident is part of a recent series of attacks targeting platform companies, aimed at infiltrating AI inference service providers, and has notified upstream service providers to proactively revoke keys. Currently, Railway has suspended all deployments and recommends that all users immediately rotate the environment variables, API keys, and private repository credentials stored on the platform, and check relevant service logs.

Tencent Cloud Security Center has detected that PHP has been disclosed to have remote code execution vulnerabilities, with vulnerability IDs CVE-2026-109618 and CVE-2026-109619, codenamed "php2shell". This can allow unauthenticated remote attackers to trigger memory corruption and ultimately achieve remote code execution by sending specially crafted multipart POST requests, thereby completely controlling the server and causing other harms.Tencent Cloud Security recommends conducting timely security self-checks. If you are within the affected range, please update and patch promptly to avoid being invaded by external attackers.

OpenAI is bringing its artificial intelligence models and Codex programming tools to Google Cloud, expanding its reach to serve customers of the three major cloud service providers in the United States. Google Cloud customers will purchase OpenAI's cutting-edge models through the "Model Garden and Marketplace," with related features expected to be fully launched in the coming weeks.

Google Cloud and NVIDIA announced that the NVIDIA Vera Rubin infrastructure is officially open for full use.

Bitcoin has been trapped in the range of $80,000 to $84,000 for the past two weeks. Huobi HTX's chief analyst Cloud believes that this is essentially a balance of two opposing forces: ETFs have seen a net outflow for two consecutive weeks, while exchange holdings continue to flow out, and long-term holders are only moderately cashing out. In the week leading up to the Federal Reserve's interest rate decision, Bitcoin is likely to continue waiting in this range. The CME has only priced in a 16% chance of a rate hike in October, while economists generally believe it is close to a 50-50 chance. This discrepancy in pricing and opinions will make funds hesitant to bet in advance.If a direction is chosen in advance, the possibility of a downward test is slightly higher: the funding rate remains high, and the options skew continues to lean towards puts, indicating that bulls have not yet cleared out, and the demand for downside protection is still increasing. However, there has been effective support formed multiple times below $80,000 in the past month, making a downward breakout more likely to be a false breakout.Confirmation signals for a breakout are divided into two groups: for an upward breakout, the daily close needs to be above $84,200, with a cumulative net inflow of over $500 million into ETFs for three consecutive days, and the funding rate not exceeding 15%; for a downward breakout, it must fall below $79,800, with a single-week ETF outflow exceeding $500 million, while exchange funds turn into net inflows. The true source of direction will come from the interest rate decision announced at midnight on October 29, Beijing time, and the nearly 89% pricing for a rate hike in December.Note: The content of this article is not investment advice and does not constitute any offer, solicitation, or recommendation for any investment products.

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.

According to market news, the ransomware/disclosure organization FulcrumSec publicly claimed to have continuously stolen about 10.6 TB of data from PingCAP's managed database service TiDB Cloud and released about 200 GB of the first phase sample.PingCAP issued a statement acknowledging that "some internal operational data" was accessed without authorization, but emphasized that it does not involve product vulnerabilities and will not affect the security of customer databases and business data. Companies such as Bitget and Baidu have collaborated with this data company.

According to The Information, NVIDIA is in talks to invest hundreds of millions of dollars in the Australian AI cloud service provider Firmus.

According to Beating reports, Tencent announced the opening of Yuanbao Search to developers through Tencent Cloud, supporting API, MCP, and Skill access. Tencent disclosed that this search service has an index of hundreds of billions, with an average daily call volume of hundreds of millions, and has supported over 50 internal businesses including WorkBuddy, ima, and Tencent Video. The underlying technology of Yuanbao Search comes from Sogou Search, integrates Tencent's content ecosystem, and connects to 157 authoritative sources across 13 industries including finance, healthcare, and law.Records from the Tencent Cloud Internet Search API show that this service went live on July 1, 2025. Alibaba Cloud launched its independent Internet Search API on March 20 of the same year; Volcano Engine upgraded its existing service to Doubao Search in June this year and officially released it to the public in July; DeepSeek opened its self-developed search engine's Search and Fetch API on October 17. The prices for Yuanbao Search's Express, Standard, and Premium versions are 14 yuan, 20 yuan, and 26 yuan per thousand calls, respectively, with an additional monthly free quota of 2,000 calls; the Express version only supports public web sources. The price for DeepSeek Search API is 5 yuan per thousand successful requests, Alibaba Cloud OpenSearch Lite is 12 yuan, and the Pro version was reduced to 18 yuan on October 15.

Bitdeer Technologies Group submitted Form 6-K to the SEC on October 19, 2026, and released the production and operational update for September 2026. The company announced a new AI cloud capacity agreement in Malaysia, with the A201 facility receiving over 70% of purchase commitments, expecting over $1.7 billion in revenue over five years, and AI cloud revenue backlog increasing to approximately $2.9 billion. Bitcoin production reached 1,355 coins, a year-on-year increase of 200%.The company also acquired 200 acres of land near the Rockdale plant in Texas to support AI/HPC infrastructure development and announced a 16-year lease for the Tydal data center in Norway, with a total contract value of approximately $4.7 billion.

According to Catcher Predict monitoring, in the market prediction event on Polymarket "Valorant: LOUD vs Team Vitality - VCT Championship Playoffs," the "LOUD" option in the sub-market "Map 1 Winner" experienced a sharp fluctuation in win rate, dropping from 55.5% an hour ago to the current 38.5% (a fluctuation of 17%). Please note the impact of related breaking news.

According to Catcher Predict monitoring, in the market prediction event on Polymarket "LoL: FURIA Esports vs. Cloud9 - World Championship Qualifiers," the "Total Kills Over/Under 27.5 in Game 1?" sub-market's "Over" option win rate has experienced significant fluctuations, soaring from 38% an hour ago to the current 57.5% (a fluctuation of 19.5%). Please note the impact of related breaking news.

According to Catcher Predict monitoring, in the market prediction event on Polymarket "Valorant: Team Vitality vs LOUD - VCT Championship Playoffs", the "Map 2 Round Spread: LOUD (-2.5) vs Team Vitality (+2.5)" sub-market's "LOUD" option win rate has experienced severe fluctuations, dropping from 68% an hour ago to the current 50% (a fluctuation of 18%). Please note the impact of relevant breaking news.

In July 2026, the internet infrastructure company Cloudflare launched a research pilot with OpenAI to test whether Cloudflare's network signals could help ChatGPT users discover new content more efficiently. Both parties reported positive early results, with the pilot incorporating previously unknown pages into OpenAI's search index, providing ChatGPT with more sources to reference.The pilot utilized about 1% of Cloudflare's global participation queue, allowing OpenAI to discover and index hundreds of millions of new web pages. OpenAI independently evaluated and ranked these pages based on relevance and usefulness, while ChatGPT Search enabled users to view original content and publishers through backlinks. Observations indicated that automated traffic might make non-existent pages appear noteworthy, with some sites redirecting arbitrary addresses to their homepage and others pointing to duplicate content. Both parties are also testing signals to identify potentially harmful pages, such as fake login pages embedded on legitimate sites, advocating for the marking of single pages rather than entire domains.Related signals are also used to filter out non-existent or redirecting pages and to assess whether unchanged pages are worth revisiting. Page signals do not constitute access permission; the study utilized web metadata for search and discovery rather than using page content for model training. Site owners can understand and manage how AI systems access their websites through Cloudflare's AI Crawl Control. The next phase will improve page selection and test faster, more reliable change signals.