"Upstream" with Erik Torenberg cover image

E115: New Tariff Implications, DeepSeek and Open Source Analysis, and Meta’s Big Bets w/ Byrne Hobart

"Upstream" with Erik Torenberg

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Navigating the Landscape of Open Weight versus Proprietary Models

This chapter examines the differences between open weight models and truly open-source models, critiquing the limitations of open weights in replicating training processes. The discussion moves towards the future of model monetization, arguing that closed models may retain a competitive edge in performance as companies evolve in their approach to AI.

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