The G in AGI is a big deal and it’s missing from LLMs. Anything coded by an LLM risks being under-generalised. Asking an LLM to think in a generalised way doe

The G in AGI is a big deal and it’s missing from LLMs. Anything coded by an LLM risks being under-generalised. Asking an LLM to think in a generalised way does not make it an AGI. The critical ability to generalised beyond learned patterns and to not only come up with arbitrary patterns but to use correct logic to derive them is missing from LLMs because LLMs do not have a logical layer, only a probabilistic one with learned constraints. The defect is the lack of internal logical constraints. It’s a big subject. I say more about it here: https://www.forbes.com/sites/hessiejones/2025/09/30/llms-are-short-circuiting-is-it-time-to-redefine-intelligence/ https://www.forbes.com/sites/hessiejones/2025/09/30/llms-are... Aka “layered system”