this post was submitted on 24 Jul 2024
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Azure/AWS/other cloud computing services that host these models are absolutely going to continue to make money hand over fist. But if the bottleneck is the infrastructure, then what's the point of paying an entire team of engineers 650K a year each to recreate a model that's qualitatively equivalent to an open-source model?
For me, the bottleneck is my data. I want to keep my data. And honestly I don't know why any entity is OK with sharing their data for some small productivity improvements. But I don't understand a lot.
The engineers can generally also do other things, the security will likely be better, and its fully possible API costs will exceed that sum if you need that much expertise inhouse to match your API usage.
What's the job posting for that going to look like, LLM stack maintainer wanted, must also be accomplished front end developer in case things get slow?