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This technical guide explains why organizations should build their own learning loops on open-source AI models rather than renting intelligence from frontier labs, drawing on case studies from finance, robotics, and biotech.
Satya Nadella argues that companies must build a learning loop combining human capital and token capital to retain control and avoid value being captured by a few AI models. He emphasizes the need for a frontier ecosystem rather than just a frontier model.
Satya Nadella argues companies must own their learning loop, not just AI models. The article warns that dependency on API providers risks losing control, and advocates for building systems that allow model swapping without losing institutional knowledge.
Microsoft CEO Satya Nadella proposed the concept of 'Token capital', arguing that in the AI era, enterprises need to simultaneously manage human capital and Token capital, and build a learning loop to accumulate proprietary AI capabilities, to prevent a few models from monopolizing value.
The article discusses the Open/Closed problem in AI, drawing parallels between the historical evolution of GPU hardware from general-purpose to specialized ASICs, and the learning loop of AI models, contrasting open-loop training with closed-loop learning found in brains.