Many AI Agents use Large Language Models (LLMs) for language.
But agents often do more:
- Planning: They figure out how to do things step by step.
- Memory: They remember what they've done.
- Tool Use: They use other programs and tools.
- Interaction: Some can see and act in the real world.
So, while LLMs are a key part, calling an AI Agent just an LLM wrapper misses the other important pieces that make them work.
AI_Topos might as well be analyzed in terms of functionals of discrete spacetime . By leveraging TopoLogics of certain manifolds , AI may arrive @ scales even tinier than that of Planck’s . If and when Quantic Algorithms [ QA ] are being applied , hypothetical mechanisms that, if realized, could enable zero-delay problem solving by transcending constraints , slowly BUT facilely emerge .