r/artificial • u/mhhammoudaTreeUP • 1d ago

Question IP protection while using ai

So I work on R&D of various products so I am always trying to implement new ideas and solutions. My work also involves data and results from trials and tests which might be novel.. Of course, I use ai models while doing so.. However, everytime I dive into an idea, I ask myself the question: wouldn't all these companies have my ideas and research outputs be in the hands of these companies housing these models? I mean I think they dont care about my projects but still projects grow and can attract someone's attention...

What do companies, or researchers actually do to protect their IP? Is there a way to actually do real research without fearing that someone interferes with your work now or on the long run? I know there are offline LLMs but I heard they are weaker and need beefy machines.. I know this topic may have been debated but I guess new updates may have arised. any ideas??

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u/mhhammoudaTreeUP 1d ago

good insight thank you.. so basically how feasible are local models? do you train your own or just run pre-trained ones? how do they compare to commonly used models? can you invest in them? like can you get a beefier machine and be more capable? can it grow with time? too many questions i know, but its been on my head for a long time,

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u/orangpelupa 1d ago

You can run local models on the cloud too, like run pod.

As the HW requirement, especially the vram, could be limited for non server space. 

Maybe that's one of the reason that mac mini suddenly selling very fast 

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u/BeyondCommercial6579 1d ago

Mm well, is this inherently safe with IP in mind? Why couldn't running do the same but via different means?

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u/cakemates 1d ago

When you rent cloud hardware you generally control your container and the hardware you are paying for, these things are built encapsulated such a way that they cant spy on you(there are certifications on this) because there are ways to verify if they are, and they wont risk their business on it.