The potential IPO upside of slowing frontier AI if finances are shaky
A user suggests that, if frontier AI finances are shaky, reducing model training while keeping API revenue flowing could improve profitability ahead of a public offering.
TLDR
Slower development of cutting-edge AI could align financial incentives with safety goals, one user speculates. If frontier AI finances are shaky, the proposed strategy is to reduce training needs, keep earning from inference APIs, improve profitability and announce new revenue figures before an IPO. The user argues that slowing development could mean making more money at the IPO, but says what happens afterward is unclear and warns that the strategy would put a target on open-source AI.
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1 Source, first seen 17d ago