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This paper proposes a SAREF-compliant ontology for representing and orchestrating distributed AI workflows across heterogeneous edge, fog, and cloud environments to improve semantic interoperability and resource-aware deployment.
Thinking Machines, the lab founded by ex-OpenAI researchers, released a manifesto arguing for distributed AI over centralized AGI, emphasizing local knowledge, human-AI collaboration, and user-encoded alignment.
An essay contrasting two AI futures: a centralized system controlled by a small 'clergy' versus a distributed model where billions direct their own agents, citing recent AI achievements and warnings about job displacement.
Thinking Machines AI shares its mission to build AI that extends human will and judgment, emphasizing local knowledge, customization, and distributed AI. They outline technical directions including strong multimodal models, tools for customization, interfaces, and research.