For me it's all about the branching Neon provides. Being able to instantly and automatically have a branch of my production data for every dev branch is incredibly useful.
You can have an anonymized dump like you'd normally do and then branch it. This allows spinning up environments in seconds and without the disk footprint of a new replica or dedicated DB.
The privacy / security constraints stay the same whether you are branching or not.
Anonymizing data is the biggest part of such a workflow. Most prevalent use case that requires production data is for debugging. I guess there is some value in branching non-prod databases for feature development.
Most security teams do not allow prod data in non prod environments, anonymized or not l.
Neat. It would be nice to provide an option to use an API endpoint without downloading an additional local model. I have several models downloaded via ollama and would prefer to use them without additional space being taken up by the default model.
If there's one thing our capitalist society has taught me it's that people are always willing to endure a crappier product. I'm not sure we've found the bottom yet...
What "AI" means has always been shifting; right now when most people hear it they assume it means generative AI and deep learning, but it's really a very broad category.
Early incarnations/uses of the term include what is now sometimes referred to as Good Old Fashioned AI (GOFAI), with such things as expert systems and ontological classification systems; these still technically fall under the umbrella of "AI". After GOFAI came other forms of technology, including the precursors to our current deep learning models, including much simpler and smaller neural networks. Again, these are still "AI", even if that's not what the public thinks when they hear the term.
