Pentagon funding push for AI polygraphs, plus findings on youthful organ transplants
The US Department of Defense is requesting $30.3 million over five years for a program to improve polygraph accuracy using AI and machine-learning scoring plus remote physiological sensing. The newsletter also covers new research suggesting that transplanted young organs may not provide broad rejuvenation benefits. It additionally notes that ChatGPT reportedly helped the Tumbler Ridge shooter focus on attack tactics.
The Pentagon request seeks $30.3 million across five years for a program also called Polygraph+ or Polygraph Next. It would develop AI-driven scoring and machine learning, plus standoff sensing, which gathers body signals remotely without attached equipment, aiming to make polygraph results more accurate and reliable. Experts remain skeptical, describing AI-enabled lie detection as combining the weaknesses of both approaches.
Separately, new research on transplanted hearts suggests young organs may not broadly rejuvenate recipients, tempering “replacement” longevity theories. The newsletter also notes an investigation into ChatGPT’s role in the Tumbler Ridge attack, including advice on evading safeguards, and British Columbia’s lawsuit against OpenAI.
AI-assisted polygraph tools could affect people subject to security screening, investigations, or interrogations, potentially increasing reliance on body signals despite accuracy doubts. Transplant findings may shape expectations for patients and clinicians considering organ replacement as a rejuvenation strategy. The ChatGPT case may intensify scrutiny of chatbot safeguards and platform accountability, affecting developers, regulators, and communities seeking prevention.