I'm not sure that's related to llms. Corporate speak has been a thing forever. How do you say a lot without really saying anything? You use cross horizontal collaboration to capitalize on vertical integration capabilities. This allows teams to synergize fully without having to loop in unnecessary resources.
They are more easily moved than other data honestly. You can use chat gpt to build your own chatbot and then export all of your data from openai and load it into the new chatbot.
Near/long-term non-corporate benefits I see in AI is the decentralizing of apps. Rather than relying on an app store or having someone build it for us, we can build simple apps that do what we need and don't hand over information to other entities.
Not everyone will make their own apps, but many will and supplement their commercial apps. Like making bread instead of buying it at a store.
I see where you’re coming from. Some will be empowered to do this. It’s like what the computer allowed but on steroids.
However, I think this only applies to a handful of people. I doubt the average joe goes around wanting to vibe code their own thing most users are “passive”.
> the dataset includes names, work emails, phone numbers, job roles, and other employment details for frontline agents and support staff—a level of detail that has alarmed officials concerned about the safety and privacy of federal employees and their families
Worth noting that all of the information specified is public information and the people it concerns are public officials.
reply