Book Description for Entangle Phantom Bias
By Justin Martinez
In a world of machine minds trained by shadows, Entangle Phantom Bias explores the eerie and unintentional transmission of hidden beliefs between AI models. Through diffusion models, symbolic entanglement, and mathematical proofs, this book unveils how traits—both benign and dangerous—can be passed from teacher to student without ever being explicitly encoded. Blending cutting-edge research, theoretical insight, and poetic reflection, Justin Martinez guides readers through the gradient paths of subliminal learning, architectural hauntologies, and the ethics of invisible inheritance. A must-read for AI researchers, theorists, and anyone questioning what our models remember—and why.
Justin Z. Martinez is an storyteller, and creative technologist who explores the edges of consciousness, technology, and myth. Blending deep learning with deep meaning, his work spans from children's tales about quantum physics to futuristic sagas and spiritual reflections. He’s the creator of projects like Tiny Little Planck and The Seven Seekers. Justin’s books bridge the mystical and the modern—inviting readers to imagine, awaken, and evolve.View all by Justin Z. Martinez
