Artificial intelligence is entering a new phase, one that raises fundamental questions not only about technological progress, but about the nature of intelligence itself.
Recent advances in large language models have demonstrated remarkable capabilities, yet also exposed structural limitations. As some researchers have noted, systems trained on statistical correlations may lack deeper forms of reasoning, consistency, and symbolic understanding.
This has led to a renewed interest in alternative directions including neuro-symbolic systems, structured reasoning, and the possibility of more coherent forms of machine intelligence.
At the same time, the role of AI is evolving from a standalone tool to an interface between humans and the digital world shaping how we think, decide, and interact with information.
This panel brings together a group of experienced builders pioneers, researchers, and investors to explore what may lie ahead.
We will discuss:
- The limitations of probabilistic models and the need for symbolic reasoning
- What comes after the current wave of AI
- Whether hybrid approaches could define the next paradigm
- AI as an interface between human cognition and digital systems
The goal is to approach these questions with clarity, intellectual honesty, and a focus on what truly matters for the next stage of the field innovation.