SiliconFlow launches Hy4 preview: 770B open-source model adds new API entry
On September 14, 2026, SiliconFlow announced through its official account that Hy4 preview had launc
Xiaomi MiMo API Open Platform is an intelligent service interface platform for developers, providing stable and easy-to-use Xiaomi MiMo API and developer toolset. Standardized AI conversation APIs, authentication and key management, call monitoring and usage statistics, error logs and alarms help teams quickly integrate intelligent assistants in applications, websites, mini programs, and IoT devices. The platform emphasizes high availability, high concurrency, and security compliance, and supports on-demand expansion and version management, making it easy to iteratively launch in different business scenarios. With the Xiaomi MiMo API Open Platform, enterprises and individuals can implement AI applications more efficiently, shorten the R&D cycle, and optimize the experience.
It is most suitable for accessing AI dialogue capabilities and uniformly managing development and operation and maintenance related configurations.
Suitable, monitoring, logging and alarm capabilities are in preparation for formal business.
Can Xiaomi MiMo API Open Platform be used for IoT? Yes, the public description mentions supporting devices and multi-terminal access scenarios.
No, it also includes platform capabilities such as authentication, keying, monitoring, and usage management.
Teams that need to quickly connect AI conversations to apps, websites and devices will be more suitable.
Zilliz is an enterprise-grade vector database and Milvus hosting platform aimed at AI application developers, data engineering teams, and enterprise retrieval teams. Its value is not to make all the work for the user at once, but to provide actionable assistance around building vector retrieval, RAG, and large-scale similarity search services: users can create vector libraries, write data, run retrieval, expand capacity, and then complete the subsequent processing based on their own business judgment. When choosing such tools, you need to pay attention to data permissions, index design, and query costs, especially when it comes to accounts, customer information, contracts, courses, audio, video, or code output, all of which should be manually reviewed. Its visibility capabilities include Vector Lakebase, Milvus, real-time vector search, and lake-scale discovery, making it more suitable for enterprise AI retrieval infrastructure.
Xpoz MCP is a social data API for AI Agents, primarily aimed at marketing teams, intelligence analytics, and AI Agent developers, providing data interfaces for brand monitoring, social listening, and lead analysis. It's for people who already have clear tasks, assets, or business processes, bringing together social data APIs, brand monitoring, and competitive intelligence into easier workflows. When using it, you need to focus on platform policies, data authorization, and privacy compliance, especially when it involves customer data, learning content, audio and video materials, business data, or public release, you should first confirm authorization and manual review. Overall, Xpoz MCP is suitable as an auxiliary tool for providing data interfaces for brand monitoring, social listening, and lead analysis, rather than a substitute for professional final judgment.
XCrawl is an AI web scraping and structured data extraction API aimed at developers, data teams, and AI app builders for scraping web pages and outputting structured JSON, Markdown, or search data. It's for those who already have a clear task, footage, or business process that brings together structured extraction, built-in agents, and AI-ready web scraping into a more actionable workflow. When using it, you need to focus on website permissions, rate limiting, and data compliance, especially when it comes to customer information, learning content, audio and video materials, business data, or public publishing. Overall, XCrawl is suitable as an aid for scraping web pages and outputting structured JSON, Markdown, or search data, rather than a substitute for the final judgment of professionals.
WebscrapeAI is a no-code web data collection automation tool aimed at operators, data teams, and researchers to automatically collect web data and organize structured results. It's better for people who already have clear assets, scripts, customer communications, or business processes that centralize no-code ingestion, structured extraction, and automation tasks into a one-to-one workflow that's easier to execute. When using it, you need to pay attention to website permissions, anti-crawling rules, and data compliance, especially when it comes to customer information, human voices, image materials, web page data, or published content, you should first confirm authorization and manual review. Overall, WebscrapeAI is suitable as an auxiliary tool for automatically collecting web page data and organizing structured results, rather than a complete replacement for the final judgment of editors, operations, R&D, or management.
WaterCrawl is a web scraping framework for LLMs, primarily aimed at developers, data teams, and AI application builders, to convert web content into data suitable for large models. It is more suitable for people who already have clear materials, scripts, customer communications, or business processes, centralizing web scraping, structured output, and large model data preparation into a more performable workflow. When using it, you need to pay attention to crawl permissions, rate limiting, and data compliance, especially when it comes to customer information, character voices, image materials, web page data, or published content. Overall, WaterCrawl is suitable as an auxiliary tool for converting web content into data suitable for large models, rather than completely replacing the final judgment of editors, operations, R&D, or managers.
VoiceAIWrapper is an AI API and developer platform for teams and creators who need a practical way to generate, organize, convert, or review work before it moves into a final production flow. It is best used with clear source material, a defined output goal, and a human review step for accuracy, rights, privacy, and publishing quality.
On September 14, 2026, SiliconFlow announced through its official account that Hy4 preview had launc
On September 14, 2026, AI inference platform Fireworks AI released a review of DeepSeek V4.1 Flash.
On September 14, 2026, Anthropic revealed on Claude's official blog the expansion experience of its
After WorkBuddy generates a webpage, if the address is a local file path or localhost, others usuall