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This paper reviews multi-turn conversational AI across text, audio, and multimodal systems, analyzing datasets, modeling paradigms, and evaluation methods, while highlighting key challenges such as persistent memory and cross-turn grounding.
Thinking Machines outlines its mission to build AI that extends human will and judgment by training strong models, building customizable tools, and developing interfaces that enable continuous human influence. The company argues for decentralized, human-shaped AI over frozen, centrally trained models.