Translated with AI from the Russian original.

Microsoft is actively developing its own artificial intelligence (AI) models, aiming to reduce dependence on OpenAI technologies and strengthen its position in the AI solutions market. According to The Information, the company is working on creating internal AI models, known as MAI, which are comparable in performance to advanced solutions from OpenAI and Anthropic.

Under the leadership of Mustafa Suleyman, head of AI at Microsoft, the preparation of the MAI family of models has been completed. These models demonstrate high results in generally accepted tests and can be integrated into the company's products, such as Microsoft 365 Copilot. In addition, the possibility of providing access to these models to third-party developers via API by the end of the year is being considered.

Previously, Microsoft had already taken steps to diversify its AI solutions. In December 2024, the company began integrating internal and third-party AI models into Microsoft 365 Copilot, seeking to reduce dependence on GPT-4 from OpenAI and optimize costs. In particular, Phi-4 models were developed to improve the performance and efficiency of the company's products.

Microsoft continues to invest in the development of its own AI technologies, striving to ensure the high quality and efficiency of its products. The company plans to further expand the functionality of its AI solutions, offering customers innovative tools to improve productivity and optimize business processes.

The development of its own AI models will allow Microsoft not only to strengthen its position in the market but also to offer users more flexible and economical solutions that meet the modern requirements and challenges of the digital age.

Microsoft strengthens its position in the field of AI: developing its own models and reducing dependence on OpenAI

Now on the front page

Articles

Why even a PC case should be branded

In Russian conditions, the popularity of PCs assembled by small local companies or in-house corporate IT departments continues to grow rapidly. Such solutions have historically been more popular in Russia than in other developed markets, but today new nuances have emerged in the segment's evolution, which we discussed with Karim LASKRI, Business Director of FSP Group in the CIS region.

News

Storage you can trust in the background: Basis SDS 2.3 released with scheduled diagnostics and an observer role

A storage system is the only infrastructure layer where an error cannot be “rolled back”: neither a reboot nor a configuration rollback will restore lost data. That is why users expect predictability from software-defined storage rather than just new features—ensuring background processes finish what they started, and administrators can see the cluster status not only “right now,” but also over time.