The career risk isn't worth it especially when tech is deployed client- and network-side to detect just such exfil attempts. The average of network, security, and client management staff tend to be PEs (SREs) who can code, some have PhDs, and are the cream of what was previously organized as "corporate IT" world. So I fail to see any incentive to throw away their career and reputation by giving away IP for $0.
There's a metric s*ton of optimized hardware to generate models. And I have my doubts if Sama at OpenAI, even with 10 gigabucks from Microsoft, can sustain growth, organizational culture, and long-term investment at the scale others are bringing online with less trouble and more experience.
The future interaction will AI models will most likely be through an API because the models themselves are becoming too large to fit even on the most extreme DIY NAS solutions.
TL;DR: it's not happening.
And yet I spent last night running GPT-J-6B on my desktop CPU at 2 tokens / sec. People are finally starting to optimize these models, and there's a ton of optimization to go. We'll definitely be running these locally in the next few years. This model especially looks like an ideal candidate for CPU optimization, given the pairity with GPT3, and that it's within spitting distance of the size of models like GPT-J-6B.
e.g. Toolformer: https://arxiv.org/abs/2302.04761
which uses APIs and functions to improve GPT-J beyond GPT-3 for various tasks