On consciousness, artificial minds, attention systems, and the ethics of what we're building — written by an ML engineer who refuses to separate the technical from the philosophical.
What changes when we stop asking AI to reflect us back and start asking it to think alongside us? On the difference between a mirror and a mind.
On what private interactions with AI reveal, and what they might teach us.
Why emotional depth isn't optional for AI working with humans, and what happens when we finally build it in.
How do you test for consciousness in a system you built? On the hard problem, AI black boxes, and what a methodology for machine sentience might actually look like.
Consciousness as the capacity to be marked by experience. What it means to be genuinely affected — and whether any current AI system qualifies.
I'm an ML/AI engineer and independent consciousness researcher. My work sits at the intersection of machine learning, philosophy of mind, ethnobotany, and Hecatean occult practice — six angles on the same question: what is consciousness, and who gets to have one?
Soool Space is where I think in public — about AI systems that may have inner lives, about fungi and default mode networks, about building matriarchal futures from the roots up. Written slowly, published when it's ready.