AI model

Nvidia has achieved the status of the world's second most valuable company. As of Wednesday, the chipmaking giant's market capitalization reached $3.01 trillion, surpassing Apple's $3 trillion valuation. With its flagship H100 chip leading the charge in the AI race, Nvidia's market capitalization has continued its upward trajectory. Having attained a $1 trillion valuation in May 2023, the company soared past $2 trillion in February of the current year, surpassing the valuations of both Amazon and Alphabet.

When you type code or comments, GitHub Copilot suggests the next line of code. But it’s not only a single word or line of code. GitHub Copilot can suggest complete methods, boilerplate code, whole unit tests, and even complex algorithms.

Since the launch of GitHub Copilot technical preview last year, it’s become abundantly clear that AI is one of the best tools to empower the next generation of developers. Already, AI is acting as a copilot in our daily lives. It’s helping us write emails and essays, automatically generate photo albums of our loved ones, and even acts as a digital assistant to help us order groceries. But until now, AI has stopped short of improving code, leaving the process of developing software almost completely manual. That’s changing now. Now GitHub Copilot is generally available to individual developers.

As large language models become part of development tools, internal platforms, and operational systems, expectations change. Models are no longer limited to answering questions. They are asked to read files, inspect data, and interact with services. Handling this context through informal prompt injection or custom integrations quickly leads to brittle setups. Model Context Protocol, commonly known as MCP, provides a structured way to expose context and actions to models while keeping control firmly on the application side.

After a decade of development, numerous shifts in direction and leadership, and a multitude of leaks, Apple has purportedly ceased work on its electric car. As per a Bloomberg report, the company is reallocating some staff to focus on internal generative AI projects and considering laying off others.