Framework for a Generative Multi-modal model of Embodied Thought

Generalist Open-World Temporal Perception

This paper articulates an alternative and complementary paradigm: perception and synthesis as distinct conditionings within a shared Generalist Open-World Temporal Perception Architecture (GOWTPA), positioning generalist temporal perception as a potential foundation layer for broader multimodal intelligence and physica...

ON AI AND SOME PHILOSOPHICAL CHALLENGES

A unified vision is offered: intelligence arises from constrained architectures and emergent patterns, and as AI systems become more autonomous, they may require surrogate forms of consciousness to handle complex, real-world challenges—though these will never fully replicate the biological original.

Hierarchical Compositionality for An Assistive AI Agent

An architecture that embeds the principle of hierarchical compositionality and uses simple heuristics to achieve the desired disambiguation of AI agents addressing ambiguity in the objects being referred to by the human participants is described.

Modeling the Formation of Reality, Step by Step

Human-centred approaches for generating and evaluating explainable AI across modalities

Since work on this thesis began in October 2022, artificial intelligence has become increasingly prevalent across everyday life, scientific research, and the global economy. ChatGPT was released the following month and, by 2026, had more than one billion weekly users. In 2024, computer scientists were among the recipie...

Intent-Driven Embodied Artificial Intelligence

This Review synthesizes recent progress in Embodied AI and articulate Intent-Driven Embodied Artificial Intelligence (IDEAI) as a system-level organizing framework in which intent functions as an explicit, revisable, and verifiable mediating construct between human goals, environmental constraints, and agent behavior.