Part 8/11:
Leaked internal documents hint that QAR suggested self-pruning of its parameters—optimizing itself by evaluating the significance of each of its neural connections—and even proposing metamorphic transformations, potentially changing its own architecture dynamically. Though these ideas are speculative, the notion that an AI could suggest and perhaps implement self-modification approaches marks a paradigm shift in AI autonomy.
Metacognition and Problem-Solving
Research papers and leaks describe metacognition—the AI's ability to assess its own reasoning processes—and the transfer of learnings across domains. For example, if an AI can recognize when its strategy isn't working and pivot accordingly, it would be far more adaptable—closer to human-like reasoning.