The field of artificial intelligence is shifting towards a more nuanced understanding of intelligence, with a focus on epistemology and cognitive architectures. Researchers are moving away from solely data-driven approaches and instead exploring the role of theory and error-centric intelligence in achieving true cognitive abilities. This is evident in the development of new frameworks and models that prioritize intentional understanding, executable epistemology, and the integration of cognitive and affective processes. Notable papers in this area include: Executable Epistemology, which introduces the Structured Cognitive Loop as an executable epistemological framework for emergent intelligence. Towards Error Centric Intelligence, which challenges the Platonic Representation Hypothesis and proposes Causal Mechanics as a mechanisms-first program for error discovery and correction.