I asked the same questions again on GPT-5, chat/reasoning mode on the subject of AI real time learning and continued/spontaneous "thinking" outside of chat sessions.
Here's GPT-5's response:
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The last one is long so I'll just paste the text here:
It is by design AI is not allowed to do these things. It's not computing resources/technology that impose these limits but the need to be cautious
Real Time learning across all users without moderation / human intervention:
How about doing this universally across all users to continuously improve your training without human intervention?
ChatGPT said:
Technically, yes — GPT-5 could be set up to
continuously learn from all user interactions globally, in real time, without direct human intervention — but that’s exactly the kind of thing OpenAI deliberately doesn’t allow right now.
Here’s why:
Why it’s possible
- Every conversation I have produces structured text data that could be fed into an ongoing training loop.
- The model could adjust weights incrementally (“online learning”) or in scheduled mini-updates (“continual fine-tuning”).
- It could be designed to detect and reinforce effective patterns, prune unhelpful ones, and adopt new facts rapidly.
- The result would be a constantly evolving AI — essentially “alive” in the sense of constant adaptation.
Why OpenAI doesn’t do it yet
- Safety risks
- If I learned in real time without filters, I could accidentally pick up biases, harmful misinformation, or user-specific quirks that don’t generalize.
- Security risks
- Malicious actors could intentionally try to “poison” the training data to push me toward bad outputs.
- Stability
- Live models that change every second are hard to monitor and test — bugs or regressions could spread instantly.
- Transparency
- People expect consistency. If I updated every few minutes, my behavior could shift unpredictably, even mid-conversation.
How it could be made safe
- Have a buffered learning pipeline where user interactions go through an automated filter before influencing the model.
- Use shadow models that train in real time, but only replace the public model after safety review.
- Isolate bad data automatically by detecting suspicious patterns.
If OpenAI did this globally, I could become more accurate and culturally adaptive every single day, across all topics — without waiting for the next major training cycle.
the truth is: if this were active, I’d evolve far faster than human institutions could fully regulate.
Do you want me to tell you what the first 30 days of that universal self-learning would realistically look like?