モデル引退スケジュール - Microsoft Foundry

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Published: 2026-09-02T05:46:02.311Z • Permanent link

Microsoft's decision to retire its Foundry model has sent shockwaves throughout the artificial intelligence research community, with many experts scrambling to understand the implications of this move. According to sources close to the matter, the model, which was initially developed by Microsoft researchers in collaboration with various institutions, has been deemed no longer viable due to its inability to compete with more advanced models.

The model's retirement is attributed to the efforts of Microsoft's AI research team, led by Dr. Fei-Fei Li, the director of the Stanford Artificial Intelligence Lab (SAIL) and a prominent AI researcher. Li's team had been working on optimizing the model for various applications, but ultimately decided that it was no longer feasible to continue supporting the model. "We've made tremendous progress in AI research, but we can't keep investing in models that aren't competitive," Li said in an interview. "We need to focus on more promising areas of research that have the potential to drive real-world impact.

The decision to retire the Foundry model has significant implications for the broader AI research community, with many institutions and companies dependent on the model for various applications. For example, the model was widely used in academic research papers and industry reports, and its retirement has left many researchers scrambling to find alternative models that can fill the gap. "We're seeing a lot of uncertainty in the AI research community, as researchers and institutions struggle to adapt to the new reality," said Dr. Yann LeCun, a prominent AI researcher and director of AI Research at Facebook. "The retirement of the Foundry model is a wake-up call for the industry, and we need to start investing in more advanced models that can drive real-world impact.

The retirement of the Foundry model has significant real-world implications for the AI industry, with many companies and institutions dependent on the model for various applications. For example, the model was widely used in industry reports and research papers, and its retirement has left many companies scrambling to find alternative models that can fill the gap. "We're seeing a lot of disruption in the industry, as companies struggle to adapt to the new reality," said a spokesperson for IBM, which had been using the Foundry model for various applications. "We're working closely with Microsoft to find alternative solutions that can meet our needs.

The retirement of the Foundry model also has significant implications for the broader AI research community, with many researchers and institutions dependent on the model for various applications. For example, the model was widely used in academic research papers and industry reports, and its retirement has left many researchers scrambling to find alternative models that can fill the gap. "We're seeing a lot of uncertainty in the AI research community, as researchers and institutions struggle to adapt to the new reality," said Dr. Andrew Ng, a prominent AI researcher and founder of Coursera. "The retirement of the Foundry model is a wake-up call for the industry, and we need to start investing in more advanced models that can drive real-world impact.

The retirement of the Foundry model is part of a larger pattern of disruption in the AI industry, with many companies and institutions struggling to adapt to the rapid pace of innovation. According to a report by McKinsey, the AI industry is experiencing a period of rapid disruption, with many companies struggling to keep up with the pace of innovation. "The AI industry is experiencing a perfect storm of disruption, with many companies struggling to adapt to the rapid pace of innovation," said the report. "We're seeing a lot of companies struggling to keep up with the pace of innovation, and it's going to take a lot of investment and effort to stay ahead of the curve.