Comment by SCHiM
3 hours ago
>I get it. You don't feel ownership over someone else's AI. You don't feel involved, you don't feel like you have agency.
You don't _have_ ownership of someone else's ai, and that comes with real risks.
Security risks, privacy risks, business risk.
They might rug pull you, they might charge you more, or like atrophic, silently corrupt the answers, or code...
The labs are happy to jump on any emergent capability the scaling and training impart: generate prose, teach you things, cyber security, design, code, etc.
Do you really think that the frontier labs won't turn a popular capability, or trend they notice, into a first party tool if the ROI seems there? If it's your own private ai in your datacenter, you can keep it all secret, and not lose your business.
On the bitter lesson you're right of course:), wish I had a super computer to just scale that instead.
It doesn't have to be "externally hosted, proprietary AI model"! The argument is against "self-assembled small AI pieces" versus frontier monolithic models.
A) You can always self-host something like Kimi, DeepSeek, or GLM.
B) Just because you use a specific proprietary AI for programming doesn't actually bind you to that provider in any meaningful way. The authored code remains even if you stop paying them!
Of course, if you use AI as an active component in some sort of service, then the EULA, rug-pulls, etc... suddenly start to matter. That's a different story.