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On June 18th, the artificial intelligence research institute OpenAI officially open-sourced its customer service agent framework, marking an important step in the company's layout of enterprise-level AI solutions. This framework aims to promote the practical commercial application of intelligent agent systems from laboratory environments to real-world scenarios by providing transparent toolchains and clear implementation examples.

OpenAI CEO Sam Altman announced on X that the company will support the Model Context Protocol (MCP), a standard developed by competitor Anthropic. This standard aims to improve the accuracy and relevance of AI assistants' responses to specific queries. Altman stated that OpenAI will integrate MCP into several of its products, including ChatGPT.

Recently, Max Wolf, a senior data scientist at BuzzFeed, conducted an experiment exploring the effects of repeatedly asking AI to improve code. In the experiment, he used the Claude3.5 language model and presented a classic programming challenge: to write Python code to find the difference between the maximum and minimum values of numbers that sum to 30 among one million random numbers. Image Source Note: Image generated by AI, with initial version authorized by Midjourney.

OpenAI's latest release of the Realtime Embedded SDK has stirred the industry, providing a development toolkit aimed at microcontrollers that advances the integration of artificial intelligence with miniature hardware. This SDK is specifically designed for microcontrollers like the ESP32 and enables real-time interaction between devices and cloud-based AI models through WiFi, significantly lowering the technical barriers to smart hardware development. This news quickly triggered a ripple effect in the market, leading to an increase in prices for ESP32-related hardware, including modules, chips, and accessories.

In the latest report from the developer platform GitHub, Python has successfully surpassed JavaScript to become the most widely used programming language. This shift is primarily attributed to the ongoing boom in generative artificial intelligence (AI). The increasing significance of Python in machine learning, data science, and scientific computing has propelled its rise in the open source community. GitHub notes that Python's popularity is linked to the growing number of STEM (Science, Technology, Engineering, and Mathematics) developers.

WechatFerry is an open source framework designed for WeChat bot development, aimed at simplifying the development process and providing comprehensive SDK encapsulation and a rich plugin ecosystem. Its core advantages lie in its efficient and highly customizable solutions, supporting a full range of WeChat operations, including message listening, sending, group chat management, and more. The framework includes multiple components and modules suitable for personalized function implementation in different scenarios. The WCF SDK client offers extensive support for WeChat operations, ensuring efficiency and stability in operations. The Agent library provides a simple and user-friendly...

Google introduces Gemini Pro, the best model for text and image inference tasks in Android applications. Prototype and run prompts using Google AI Studio, and export the model as code. Android applications can access the Gemini model through the Google AI Client SDK. Gemini also offers multimodal models and a smaller version, Gemini Nano. Gemini Nano can run on-device, ensuring predictable latency and data security for offline applications.

Baidu Intelligent Cloud Qianfan Model Platform has been upgraded again, launching the Qianfan SDK, which is fully open source and available for free download and use. This SDK provides a series of functions from dataset management, model training, model evaluation to service deployment, allowing users to integrate it through code.

Baidu announced the opening of ERNIE Bot SDK permission applications and launched the Wenxin Large Model 4.0. Developers can use the ERNIE Bot SDK to develop Wenxin Yiyan applications, plugins, etc. The Wenxin Large Model 4.0 has significant improvements in understanding, generation, logic, and memory. Developers can apply for permission in the AI Studio Starry River Community. Click the link to enter [Wenxin Large Model 4.0 Application] chat room and send an application.

Swift creator Chris Lattner's new programming language Mojo has secured $100 million in funding. Developed by Modular, Mojo aims to address the performance bottlenecks of the Python programming language. The public version of Mojo is set to launch in early September, with the potential to be 35,000 times faster than Python.

Anaconda Inc. has launched the beta version of Anaconda Distribution for Python in Excel, embedding Python data science capabilities into Excel. This integration simplifies the data science workflow and meets users' demand for easy-to-use tools. Excel users can leverage Python for data preparation, statistical modeling, machine learning, and predictive modeling.