PROBLEM
Limitations of agentic AI training
Agentic frameworks like OpenClaw have state, and the problem is how training, tokenization, and neural networks in transformer models limit the ability to generate results beyond the training data
Updated: 4/2/2026
The limitations of agentic AI training, including state in frameworks and the inability to generate results beyond the training data due to issues with tokenization and neural network architectures, pose challenges for these systems
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