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Rittenhouse Research
@RHouseResearch
AI infrastructure, data centers, neoclouds, software, fintech.
参加 May 2025
734 フォロー中    16.2K ファン
Yup.. imo, the labs’ compute capacity for any given period of time should be viewed as fixed, and has to be allocated to either R&D or inference (COGS). Model safety/alignment is a sub-segment of R&D. So all else equal, if they allocate more compute from within the R&D bucket to safety/alignment (e.g. shifting R&D spend away from areas like pushing the frontier on RSI).. Or from the inference bucket to R&D for safety/alignment.. it’s probably net negative for near term revenues. But over longer period of time, safety/alignment should be a capability representing a source of incremental demand for compute.. Zuck articulated it well that safety/alignment really is just a standard product feature. And seems pretty clear the labs don’t have enough inference (or R&D) capacity as it is. So they’re going to need even more net new compute.
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More safety might mean more compute, but that’s a very cope-y thesis