Post-Agentic Large Language Models (LLMs) of 2025

After months of digging into AI, I’ve seen a consensus forming from many corners: today’s Large Language Models have fundamental limitations. My own research points to an unavoidable conclusion: we are on the cusp of a fundamental architectural shift.

I believe this transition has already begun subtly. We’re starting to move beyond current prototypes of Agentic models to what I’m calling Post-Agentic systems, which may behave more like a person, wether physical (robot) or virtual (Something more like current agents). The next generation of AI won’t just act on prompts; it will need to truly understand the physical and virtual worlds through continuous interaction.

The path to future goals like AGI or ASI won’t be paved by simply scaling current models. This next leap requires a new kind of architecture: systems that are Embodied and Neuro-Symbolic, designed to build and maintain Causal World Models.

Current key research to achieve this:

• World Models
• Embodied AI
• Causal Reasoning
• Neuro-Symbolic AI

I look forward to others opinions and excited about the future.
😛