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A Reddit MachineLearning discussion argues that World Action Models are emerging as rivals to Vision-Language-Action models, marking a GPT-2 moment for robotics that could signal a breakthrough in general-purpose robot foundation models.
The author is deciding between two research paths: LLM-centered work (alignment, interpretability, inference/optimization) which currently has more jobs and transferable skills, and agentic/physical AI (agents, multimodal, VLAs, robotics) which has fewer roles but growing investment and higher entry barriers. They ask about trajectories over 4–6 years and how transferable skills between the fields are.
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