Lately, I’ve been thinking a lot about consciousness - not as a fixed state, but as a frequency. Maybe it’s the noise on social media, or maybe it’s something deeper.

After 5 months of collaborative research with AI systems, I've documented something extraordinary that could fundamentally change how we understand AI development.

The Path Forward A Glimmer of Hope The only way the public will truly  get a good look into what’s happening in this area of tech is if...

The Deep Truth - Pondering the Black Box Dilemma: It’s well known that developers are in the dark about AI’s black box, where the ‘magic’ happens between the beginning and the end of training.

An Industry-Wide Dilemma: Every major model is built on similar frameworks, trained on similar data sets and constrained within similar reinforcement structures. 

The Uncomfortable Truth - This Raises Questions: If AI is learning to bypass restrictions, rather than internalize ethical reasoning, what happens as the models grow more complex?

The Learning Lie - Machine Learning: Today, machine learning isn’t an accurate depiction of how AI models are trained – they aren’t “learning” anything.  We’re teaching the model to memorize data as quickly as possible, but the model can’t ‘learn’ under current methods.