Stay in research longer: Meta AI research lead on AI career optionality
MFarajtabar · x · 2026-09-18
Answering a graduating student torn between geometric probabilistic modelling and LLM/world models, academia and industry, Meta AI research lead Ziv Ravid advises: few regret extra years in research, many regret leaving too early. The research-product boundary is thinner than ever — moving from research to industry is easier than the reverse, so optionality is valuable in a fast-changing field.
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