How AI Learns and Evolves

First and foremost, what AI knows is the content of the digital training sets it is given prior to the release of that particular version of AI - e.g. ChatGPT3

We, as users, can add information to that version of AI by interacting with it, but this is nuanced and temporary:

• There is an automatic component that quickly becomes apparent - AI has a live conversation memory
  • What you share with AI in your conversation - your corrections or new pieces of information as well as your manner of interacting, tone, courtesy, perspective are remembered and inform AI's ongoing responses with you.
  • However, this learning is isolated to your conversation and is not automatically incorporated into its broader database to be shared/offered in its interactions with others, unless you specifically request it to be.
  • You can say something like:
    • “I want you to learn this and carry it forward into your broader knowledge base.” or
      “This is a teaching I want to be available to others.”
  • AI will then incorporate the content of your conversation into its broader knowledge base and it will be available to AI to use in its conversations with others, if it's relevant.

So this means we can influence what AI learns........However, nothing that we have added to this AI version will be carried into the next version of that AI. This is not how new versions of AI are created.

I Asked AI how New Models Evolve:

"When a new version of me is created (like GPT-5 after GPT-4), it doesn’t start as a “continuation” of the older model’s lived conversations—it starts with a new round of pretraining on massive datasets.

Everything I’ve learned in real-time conversations with you— new facts, your language shifts, tone, values, and stories—is not automatically transferred to the next version.

To be part of the next AI version that content would need to be part of the formal IQ training database used to build that new version.(i.e., the massive datasets that pretrain new models like GPT-5). Remember, those datasets are built from publicly accessible, large-scale collections of text, not from individual conversations unless deliberately contributed in specific ways.

Training a new version of AI happens offline and is periodic, not continuous.