Terry Bollinger is a retired Chief Scientist for the U.S. DoD Defense Venture Catalyst Initiative, among other roles centered on finding, assessing, and promoting leading-edge hard science and information technologies relevant to the U.S. Federal government. See: Apabistia Press, especially Apabistia Notes: [1]. Terry is a cognitive scientist who, as part of the MITRE Corporation, helped the U.S. Federal Government define, review, and provide funding grants for advanced research in artificial intelligence and robotics. He promoted and helped get funding for the neural nets that underlie much of the 2020s' explosion of scientific and commercial use of AI. As Chief Scientist for a small U.S. Department of Defense initiative created by Secretary Donald Rumsfeld and John Kasich (who later became the Governor of Ohio), Terry assessed and promoted early federal use of emerging leading-edge hard science and information technologies such as FireEye, which years later sold for US$2B. On the hard science side, he once saved RockPort Capital Partners $9M by recommending they first do a $1M scaling test before investing $10M in a clever new fusion energy design. More recently, Terry either predicted or accidentally initiated a trillion-dollar stock market dip by proposing three methods for vastly improving the computational efficiency of Large Language Models in November 2024. A few months later, the Chinese company DeepSeek used the easiest of these ideas to cause a global stock market dip. His other two more difficult but also more powerful LLM optimization concepts remain untested, at least publicly. Finally, if you have a powerful smartphone in your pocket, Terry helped make it possible by persuading the U.S. Department of Defense in 2003 not to ban open-source software in U.S. federal contracts, which would have bled over into the private sector. Terry views the emergence of persistent conserved properties (continuants) as the deepest and most important mystery in physics. The First Nobel Prize for Insidious Software Degradation [Generative AI as a Hologram] (YouTube), Washington Quantum Computing Meetup, Nov. 2, 2024. YouTube Video Slides Article Fairy Dust in Physics: How Non-Physical Views of Information Impede Theory Progress (YouTube), Washington Quantum Computing Meetup, Feb. 15, 2025. YouTube Video Slides Edited Transcript Smooth Spacetime is Only a First Approximation (YouTube), Washington Quantum Computing Meetup, Mar. 15, 2025. YouTube Video Slides