Traditional research (PEAR, MMI) suggested people may subtly bias quantum random number generators. Advances in large language models now let us harness this bias to increase resonance and alignment with AI-generated content. In a blinded proof-of-concept (n=406), we demonstrated that user personal...See more
Headquarters:
Company Type:
SME
Company size:
1-10 Employees
Year Founded:
2025 (1 years)
Address:
null
LOW
spending power