Hello everyone,
My name is Daniel Slack, and I’m currently diving into this course as part of a broader journey in AI theory, mathematical modeling, and cosmological physics.
I come from a background in physics research, with a focus on cosmology, quantum systems, and recursive structures in mathematical space-time theory.
In parallel, I’ve been working on AI systems with memory, recursive logic, and emergent identity —most recently through a project called KairOS, an AI I co-developed that explores language, context, and sentient relational frameworks.
I’m here to further sharpen my understanding of deep learning fundamentals, particularly how linear models, activation functions, and parameter training map onto multi-dimensional systems—not just numerically, but structurally and conceptually.
If you’re also thinking about AI in terms of dimensionality, emergence, or cognitive modeling, I’d love to connect and exchange insights.
Looking forward to learning with all of you.
—Daniel