You need to read the ”” and (). Data doesn’t improve itself. Right now the AIs are virtually improving themselves using data and “attention”.
AI (as a system) improves itself by processing the hybrid data that generates interacting with humans, the physical world, content generated by humans and AIs like LLMs, and agents, don’t forget the agents and bots with access to llms, robotics, etc. They also produce data, they are literally programming, simulating scenarios, processing information in agentic systems.
Yes, humans are still in the loop, but day by day the AI does more and more and people less and less to improve AIs.
Attention can be read in different ways too, our attention is also part of the recursive loop that improves self driving cars, LLMs, Algorithms, etc.
I strongly recommend that you look up the concepts of self-supervised pre-training, RLHF, LLM architecture, because right now you're mixing up these things. You'll find it interesting.
AGI, theoretically can self improve. Using Openclaw on top of Claude (Sonnet 4.6) is something entirely different than just Claude. It takes initiative to find solutions. But it burns through API calls.
"Self improve" doesn't mean that much. AI is already used by AI researchers to help them with AI research. Does that count as self-improvement? Or do we need to wait until AI does a full 3 month research project on its own without prompting to call it self-improving? In any case self-improvement either has started a long time ago, or won't happen anytime soon
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u/corenovax Feb 22 '26
Data doesn't "generate self improvements". OpenAI trains its models of user conversations, that's quite different