Semantic Kernel Execution

Semantic Kernel is a lightweight, open-source Software Development Kit (SDK) created by Microsoft that enables developers to easily integrate Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face into their applications using common programming languages such as C#, Python, and Java.

As illustrated, Semantic Kernel will

1. Select the best AI service to run the prompt.
2. Build the prompt using the provided prompt template.
3. Send the prompt to the AI service.
4. Receive and parse the response.
5. And finally return the response from the LLM to your application.

It acts as an orchestration layer that simplifies the process of building intelligent applications by combining the power of LLMs with traditional programming logic and external resources. It provides a structured and extensible way to create AI-powered features and autonomous agents.

Ironwood

Google's Ironwood TPU (Tensor Processing Unit) is seventh-generation TPU, a custom-designed AI accelerator chip. It was announced on April 9, 2025, at Google Cloud Next 25.  

Ironwood is specifically designed for inference, which is the process of running already trained AI models to make predictions or generate responses. 

Key features include significantly increased compute power, high-bandwidth memory (HBM) capacity and bandwidth, and enhanced inter-chip interconnect (ICI) for efficient scaling.

Ironwood is a key component of Google Cloud's AI Hypercomputer architecture.

Debug-Gym

Sundar Pichai says 25% of Google’s new code comes from AI. Debug-Gym is an open-source environment where AI agents are given sandboxed Docker containers for safety and realistic execution.

Debug-gym provides a structured Python-based environment where AI agents can:

• Access debugging tools through a controlled interface.
• Employ debugging commands similar to Python's pdb (Python Debugger).
• Examine runtime behavior (e.g., variable values, stack frames).
• Refine their approach through active exploration.
• Set breakpoints, navigate code, and create test functions.

In recent AI world, it provides the below benefits:

• Allows for the assessment of AI agent reasoning strategies in complex debugging scenarios.
• Provides a platform to train AI models to learn from interaction histories and structured sequences of debugging actions.
• Offers a way to measure agent capabilities in dynamic code repair.
• Supports the development of agents that can systematically reason through bugs using external tools.

Semantic Kernel

Semantic Kernel is designed to help developers build AI applications by providing a set of tools and libraries that facilitate the integration of large language models (LLMs) into their applications. 

It supports various AI tasks such as text generation, understanding, and transformation. Features are listed as below:

Extensibility: Developers can extend the framework to add custom functionalities or integrate additional AI models.

Interoperability: Semantic Kernel can work with different AI models and services, making it versatile for various applications.

Ease of Use: The framework provides a user-friendly API that simplifies the process of integrating AI capabilities into applications.

Microsoft 50

 

Today, Gates says that the 50th anniversary of Microsoft is “bittersweet,” and that it feels like yesterday when he and Allen “hunched over the PDP-10 in Harvard’s computer lab, writing the code that would become the first product of our new company.” That code, he says, remains “the coolest code I’ve ever written to this day …. I still get a kick out of seeing it, even all these years later.”

Bill Gates writes on his Gates Notes website. “In 1975, Paul Allen and I created Microsoft because we believed in our vision of a computer on every desk and in every home. Five decades later, Microsoft continues to innovate new ways to make life easier and work more productive. Making it 50 years is a huge accomplishment, and we couldn’t have done it without incredible leaders like Steve Ballmer and Satya Nadella, along with the many people who have worked at Microsoft over the years.”