Microsoft has decided to temporarily pause the construction of a $3.3 billion data center in Mount Pleasant. The company stated the pause might last for months as it evaluates the scope and recent technological changes.

These two men are of different generations (Gates is 69, Altman 39), and their companies presided over different revolutions. But Microsoft and OpenAI are coming together to offer some of the most relevant new services and capabilities to the market.

A lawyer for billionaire Elon Musk has asked attorney generals in the states of California and Delaware to push OpenAI to auction a major stake in its business to decide fair value of its charitable asset during its corporate restructuring,

Phi-4 and an rStar-Math paper suggest that compact, specialized models can provide powerful alternatives to the industry’s largest systems.

The OpenAI CEO recently published a blog post reflecting on AI progress, as well as his brief ouster from the company.

Microsoft Corporation (NASDAQ:MSFT) has decided to temporarily pause construction on parts of its ambitious data center project in Mount Pleasant. What Happened: Earlier this week, the company said that it still plans to complete the first phase of the data center,

Microsoft trims less than 1% of its workforce as stock underperforms and AI challenges rise. The "underwhelming" Copilot rollout also worsens it.

The companies reportedly signed an agreement last year that defined AGI as a system that can generate $100 billion in profits.

Microsoft is cutting a small percentage of jobs across departments, based on performance, the company confirmed to CNBC on Wednesday.

Under the hood, North is powered by not only Command but also Cohere’s Compass product. The latter offering is an AI-powered search tool that can find specific data snippets in a company’s systems and make them available to AI models. It extracts data from not only documents but also multimodal files such as slides, images and spreadsheets.

Indeed, Musk suggested that synthetic data — data generated by AI models themselves — is the path forward. “The only way to supplement [real-world data] is with synthetic data, where the AI creates [training data],” he said. “With synthetic data … [AI] will sort of grade itself and go through this process of self-learning.”