Microsoft CEO Satya Nadella said in a post on X that any push toward superintelligence should be grounded in a basic principle: if the AI being built cannot help people and remain under human control, it is not worth pursuing. He also said the benefits of AI need to spread faster and more broadly across countries, communities, and companies.
According to Nadella, that goal requires a frontier ecosystem where both closed-source and open-source models can thrive. For enterprises, he said companies must keep full control over their unique and tacit knowledge. Each organization should be able to build its own continuous learning loop without depending on any single model provider, and embed its own knowledge into models and weights it controls.
Nadella added that he welcomes the research, attention, and deliberate pace needed for proper alignment, as well as ideas such as "embedded evaluators." He said control over this process cannot rest with only a small number of entities and should include broad representation across the ecosystem, nations, and academia. He also outlined Microsoft’s approach, including broad access and choice at every layer of the AI stack, enterprise control over learning loops and models, and a public consultation on the MAI model "code of conduct" scheduled for tomorrow.
Microsoft CEO Satya Nadella said in a post on X that any pursuit of superintelligence should rest on a core principle: if the AI being built cannot help humans and remain under human control, it is not worth pursuing.
He also said the benefits of AI need to be accelerated and distributed more widely so they can spread across countries, communities, and companies. In his view, that will require a frontier ecosystem where both closed-source and open-source models can thrive.
For enterprises, Nadella said companies must retain full control over their unique and tacit knowledge. Each organization, he wrote, should be able to build its own continuous learning loop without relying on any single model provider, while embedding its own knowledge into models and weights under its control.
Nadella also said he welcomes the research, attention, and deliberate pace needed for proper alignment, along with ideas such as "embedded evaluators." He added that this cannot be controlled by a small number of entities and must have broad representation across the ecosystem, nations, and fields including academia.
He said Microsoft’s approach centers on broad access and choice at every layer of the AI stack, enterprise control over learning loops and models, and the release tomorrow of a "code of conduct" for its in-house MAI model for public consultation.
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