Table of Contents
Artificial Intelligence Translates the Language of Animals
Kim Kyung-jin, Attorney at Law
The Story of AI Learning to Listen to Whales, Dolphins, Birds, and Bees
Twelve chapters on how AI listens to dolphins, sperm whales, humpback whales, birds, and bees to find rules in their sounds, and what this technology means for its risks and for animal rights. Written in simple sentences a child can read, with verified sources in every section.
Table of Contents
AI Deciphers Ancient Scripts
Kim Kyung-jin, Attorney at Law
Ancient Records Revived by AI
In twelve chapters, this book explains how AI revives records once unreadable, from burned scrolls and wooden slips buried in mud to broken clay tablets. It covers virtual unrolling at Herculaneum, virtual collation of oracle-bone texts, reading Silla wooden tablets, computational analysis of undeciphered scripts, and multispectral archives, with verified references for each chapter.
Table of Contents
Artificial Intelligence for New Materials Design and Rocket Propulsion Engineering
Kim Kyung-jin, Attorney at Law
AI Potentials, Self-Driving Laboratories, and Physics-Informed Machine Learning (PIML)
Ten chapters on how artificial intelligence is changing new materials and rocket propulsion: atomic simulation, generative models, self-driving labs, high-temperature alloys, metal 3D printing, combustion, cooling design, and engine diagnosis and control. Written without equations, with verified sources in every chapter.
AI Library
The Age of Autonomous Scientific Discovery
Kim Kyung-jin, Attorney at Law
AI Scientists and Self-Driving Labs
This book follows how AI scientists and self-driving labs are changing the way science generates and verifies claims. It covers literature-based discovery, natural-language protocols translated into robot commands, multi-agent research systems, closed-loop laboratories, materials search, the verification gap, chains of evidence, research harnesses, journal ethics, and legal responsibility.
AI Library
A New Era of Life Sciences Opened by Artificial Intelligence
Structural Proteomics, Genomic Foundation Models, Autonomous Laboratories, and Global Governance
Kim Kyung-jin, Attorney at Law
This book is a research volume compiled with artificial intelligence. A human selected the materials and structured the work, while AI models drafted the sentences and cross-checked the facts.
AI Library
The Double Structure of Digital Sovereignty
Europe’s Departure from Palantir and the Chains of American Big Tech
Kim Kyung-jin, Attorney at Law
This is a record of 2026, when European intelligence agencies and defense ministries began removing analytics tools from America’s Palantir. It covers the replacement decisions made by France’s General Directorate for Internal Security (DGSI), Germany’s Federal Office for the Protection of the Constitution (BfV), and the Netherlands Ministry of Defense; the incident in which US export controls severed an ally’s ac…
New English Edition
Artificial Intelligence in Horticulture
Kim Kyung-jin, Attorney at Law
Across five chapters and ten sections, this book examines computer vision for crop diagnosis, harvesting robots and autonomous field systems, smart greenhouses and digital twins, precision irrigation and supply-chain quality control, high-throughput phenotyping, and predictive breeding.
New English Edition
Artificial Intelligence in Food Crop Agriculture
Kim Kyung-jin, Attorney at Law
Across six chapters and eighteen sections, the book examines digital agricultural infrastructure, remote sensing, crop diagnosis, yield forecasting, precision irrigation, genomics, molecular breeding, agricultural robotics, climate-smart agriculture, and global food security.
New English Edition
The Future of Forestry and Agroforestry
Kim Kyung-jin, Attorney at Law
Driven by Artificial Intelligence and Digital Innovation
Across five chapters and fifteen sections, the book follows satellites, drones, LiDAR, digital twins, forest-specific language models, wildfire and pest forecasting, forestry robotics, agroforestry, timber traceability, and forest carbon markets.
New English Edition
Smart Livestock Farming: AI Enters the Barn
Kim Kyung-jin, Attorney at Law
Sensors listen, cameras watch, and artificial intelligence helps farmers decide.
Across five chapters and fifteen sections, the book follows precision livestock farming from animal health and reproduction to robotic milking, virtual fencing, digital twins, methane reduction, welfare, and data ownership.
Table of Contents
Han Dong-hoon, Busan Buk-gu Gap: A Record of the 100 Days Before and After the Election (Mar. 26-Jul. 3, 2026)
Kim Kyung-jin
Table of Contents and 13 sections
From March 26 to July 3, 2026, this record follows the spring after expulsion, the Busan Buk-gu Gap by-election, victory as an independent, and the first bill submitted in the National Assembly.
Table of Contents
Artificial Intelligence and Medicine
Kim Kyung-jin, Attorney at Law
AI in clinical care, hospitals, education, and research
AI in medical imaging, risk prediction, treatment planning, hospital operations, education, and research, with patient safety, privacy, and accountability.
[AI Library] Chapter 10. Secretary Kendall's Flight: Entrusting Weapon Release to an AI Pilot
Chapter 10. Secretary Kendall's Flight: Entrusting Weapon Release to an AI Pilot
Secretary Kendall's Ride: Letting the AI Pilot Fire the Weapons The moment you sit in the cockpit, all arguments suddenly quiet down. It's easy to talk about autonomy and ethics in a conference room. When you close the canopy and roll out onto the tarmac, the horses gain all their weight again. Because now gravity, not concepts, answers. On May 2, 2024, an elderly man in his 70s stood on the hot runway at Edwards Air Force Base in California. It was Frank Kendall, Secretary of the Air Force. He was not just an administrator.
He served as an army officer during the Cold War and was a technocrat who worked as a defense technical engineer and acquisition specialist his entire life. The reason he came here was not simply to inspect. He decided to risk his life and climb into an AI-controlled fighter jet to determine the fate of his AI unmanned fighter program. The aircraft he boarded was the X-62A VISTA, which had previously undergone numerous tests. Secretary Kendall sat in the front seat, and a safety pilot sat in the back seat in case of an emergency. For this flight, Shield AI installed reinforcement learning-based artificial intelligence on the aircraft.
Shield AI was a company that acquired Heron Systems in 2021. This is Heron Systems, the creator of the AI that defeated the human pilot 5-0 in the 2020 Alpha Dog Fight. The autonomous agent on board was a direct descendant of the then winning AI. The canopy closed and the engine roared to life. Immediately after takeoff, Secretary Kendall had a historic moment. Control authority has been handed over to AI. “I had a button on the control panel and basically started automating it,” he later explained.
As we entered the training area over Edwards Air Force Base, we were approached by a manned F-16 fighter jet acting as a virtual enemy aircraft. Secretary Kendall's X-62A immediately entered combat mode. The fight was on, but neither Secretary Kendall nor the safety pilot in the back seat had their hands on the controls or throttles. The aircraft circled violently on its own and maneuvered to catch the enemy plane's tail. The AI performed high mobility up to 5G with Secretary Kendall on board. This is the pressure that increases your body weight five times. 70s
It was quite a burden on the old man's body. Even under that pressure, the AI cool-headedly calculated the enemy's expected path and constantly twisted the aircraft to gain an advantageous position. Lightning maneuvers of more than 885 kilometers per hour followed. The two aircraft raced within about 300 meters, meeting each other almost head-on, twisting and turning to force the other into a vulnerable position. Proximity in heaven is not proximity in human relationships. At 300 meters, two planes are turning nose to nose, waiting for each other to make a mistake. This is a distance where a small error can lead to death.
In this situation, the sensation the passenger feels is not glamor but pressure. The body, not the equipment, is the first to say, “This is real.” The AI cleverly made evasive maneuvers whenever the enemy's fire control radar attempted to target it, looking for an opportunity to counterattack. The F-16, piloted by a human pilot, attacked fiercely, but the X-62A's AI did not give up any slack. Rather, the AI gained the upper hand by counterattacking at a timing that was difficult for human pilots to predict. Secretary Kendall's expression was flushed when he returned to the base after an intense flight of about an hour.
He smiled as he climbed out of the cockpit. At a press conference held immediately after the flight, he made a statement that caught the world's attention. “We believe that what we have seen in flight is enough to entrust this still-learning AI with the ability to decide whether to fire weapons in a war.” This remark immediately sparked controversy. Arms control experts and humanitarian groups are deeply concerned that AI could one day autonomously drop lethal bombs without additional human consultation.
“There are widespread and serious concerns about leaving life-and-death decisions to sensors and software,” the International Committee of the Red Cross warned. But Kendall emphasized that the system will always have human oversight when weapons are used. “Not having it is a security risk. At this point, we have to have it.”
From the pilot's perspective, firing a weapon isn't a one-button operation. Launching a weapon is a chain of responsibilities that includes tactics, identification, rules of engagement, friendly forces location, and the aftereffects of the type of ammunition. In dogfights, decisions to fire often have to be made within a second, but the material that goes into that second is messier than you might think. Sensors can be fooled, targets can be deceived, data links can be broken, and humans can misjudge. It's not that AI doesn't make misjudgments, but the types of misjudgments are different.
While humans shake with fatigue and fear, AI can show strange confidence outside of its learning distribution. So, leaving the firing of weapons to AI is not a question of whether the AI is smarter, but a question of whether we can seal that form of misjudgment with some kind of safety device. Kendall's ride demonstration also sent a powerful message to Congress and defense budget officials. The U.S. Air Force determined that the F-35 or next-generation fighter jets, which cost hundreds of billions of won each, could not handle China's volume offensive.
The solution to this is a manned and unmanned complex system that consists of a manned fighter and 3 to 5 AI unmanned fighters. The U.S. Air Force plans to deploy at least 1,000 AI unmanned fighter jets by 2028. An F-35 or a next-generation fighter jet carries several AI drones, leaving dangerous missions to the AI while humans command them from the rear. Kendall added: “This is a transformative moment. The potential of autonomous aerial warfare, imagined for decades, is now a reality.
In the not-too-distant future, there will be two types of Air Forces: those that adopt this technology, and those that do not and are defeated by them.” Brett D'Arcy, Senior Vice President of Product at ShieldAI, explained: “We've proven how to get from the lab to a real airplane. We've demonstrated how to not only get the technology there, but how our people can support the necessary compliance, testing and validation pieces.” According to him, the autonomy on board was not intended for civilian use. It wasn't built to fly from point A to point B. It was built to do something much more sophisticated.
I had to dynamically infer where the enemy was, what the enemy was doing, and how to position my airplane to address both safety and weapons effectiveness. VISTA's military operators say no other country in the world has an AI jet like this. It's a cycle where the software first learns with millions of data points in a simulator, then tests its conclusions during real flights, then feeds that real-world performance data back into the simulator, allowing the AI to learn more. China also has AI, but these tests are conducted outside of simulators.
There is no indication that they have found a way to run it. Like junior officers learning tactics for the first time, some lessons can only be learned in the air, VISTA's test pilots say. Chief test pilot Bill Gray's words sum it up: “It’s all guesswork until you actually fly it. And the longer it takes to figure it out, the longer it will be before you have a useful system.” Since VISTA flew its first AI-controlled dogfight in September 2023, it has performed about two dozen similar flights.
But the program is learning so quickly from each engagement that some versions of the AI being tested at VISTA are already beating human pilots in air-to-air combat. The pilots at this base know that in some way they may be training their successors or shaping a future structure that will require fewer pilots. But they also say the U.S. doesn't want to face an adversary with AI-controlled aircraft in the skies if it doesn't have its own fleet. “We have to keep running, and we have to run fast,” Kendall said. To put it bluntly, the real message of this incident is not that AI fires weapons.
The incentive for the system to evolve toward AI firing weapons is too strong. Speed, cost, survivability. The battlefield has become too fast for humans to loop and make decisions every time, and the method of having humans directly control all launches in a combined manned and unmanned formation has limitations in scalability. The realistic picture of the future is usually like this. In peacetime and gray areas, human control is strengthened and AI operates around recommendations and alerts. In high-intensity wartime, humans set policies and red lines in advance, and AI expands its authority to engage under limited conditions.
In the final step, we move from saying that humans always press the button to designing conditions where humans do not have to press the button. What Kendall saw in the cockpit was the first page of that move. People may not be ready to read the page, but heaven is already moving on to the next chapter. In 1947, Chuck Yeager broke the speed of sound in the It was the day when a machine flew into the sky on its own without human help, competed with humans, and received a passing grade from the human leader. Now, the dominion of heaven is no longer solely for humans. The era of algorithmic aces has taken off from the runway.
Part 3. How AI Learns to Fight
Kim Kyung-jin
Attorney · Former Member of the National Assembly · AI Policy Researcher
© 2026 Kim Kyung-jin. All rights reserved.