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] Trump, the Diplomacy of Insult - Chapter 43: The White House Teleprompter Operator's Nonpublic-Information…
Trump, the Diplomacy of Insult, and the Hollowing Empire
Chapter 43: The White House Teleprompter Operator's Nonpublic-Information Trading and the Arrest of a U.S. Army NCO for Classified Speculation
Kim Kyung-jin
The Reality of Power-Based Insider Trading: A White House Teleprompter Operator and an Army Master Sergeant with Advance Knowledge of an Operation Caught Conducting Hundreds of Millions of Won in Speculative Bets on Prediction Markets
43.1 What the Two Sold Was Information
Throughout 2026, two names were repeatedly spoken in Washington. One was Gabriel Perez, a teleprompter operator working at the White House. The other was Gannon Ken Van Dyke, a U.S. Army Special Forces Master Sergeant.
The two men did not know each other. Where they worked and what they did were completely different. Yet they shared a single commonality: The allegation that they had turned state information, acquired before anyone else, into money.
Perez knew in advance what the president would say in his speeches. Van Dyke knew in advance the date when they would go to capture the president of Venezuela. Both men took that information to prediction markets.
A prediction market is an exchange where participants wager money on future events. They buy and sell "Yes" and "No" shares on questions such as "Will interest rates rise next month?" If the prediction is correct, a trader receives $1 per contract; if incorrect, they lose the money spent to purchase it. In the United States, Kalshi and Polymarket lead this market. Both companies are subject to oversight by the Commodity Futures Trading Commission (CFTC).
In Chapter 42, we examined the suspicions of massive bets placed ahead of the Iran war and tariff announcements. In most of those suspected cases, the identities of the traders never came to light. The two cases examined in this chapter are different. Names, accounts, and transaction records were all laid bare to the public. Consequently, these two cases provide a concrete demonstration of how information leaking from close proximity to power turns into money.
43.2 A New Gambling Arena Called the 'Mentions Market'
To understand the Perez case, one must first understand Kalshi's "Mentions market." A mentions market is an instrument designed to bet on whether a prominent figure will say a specific word during a speech. Money is wagered on questions such as: "Will the president say 'tariffs' in today's speech?" Questions like "Will he say 'Iran' more than three times?" are also offered.
Initially, this market seemed like lighthearted amusement. Even during Trump's inauguration in January 2025, substantial sums exchanged hands over words spoken in the address. One research firm estimated that $1.4 million poured into bets on the inaugural address's words alone.
The problem was that someone had advance access to the speech manuscripts. Until delivery, presidential speeches are seen by only a small handful of individuals: The writers, the reviewers, and the person who loads the text onto the screen. In a mentions market, someone who has viewed the speech draft in advance is like a test-taker holding the answer key.
43.3 An Hour Before the Prompter: The Gabriel Perez Case
Gabriel Perez was a technical aide to President Trump. He had handled Trump's teleprompters since the 2016 presidential campaign. A teleprompter is a device that displays a speech manuscript onto glass panels in front of the speaker. Federal personnel records show that he worked in both the first and second administrations. Even at an investment event in Miami Beach in March 2026, he was seen wiping down the prompter glass in front of the president.
According to the findings disclosed by the CFTC: Perez had access to presidential speech manuscripts approximately 60 minutes prior to delivery. During that one-hour window, he purchased contracts in Kalshi's mentions markets. He bought them already knowing the words the president would say.
The trading period spanned roughly three months, from December 2025 to February 2026. ABC News reported that he wagered on more than a dozen speeches. These included an evening address to the nation in December. They also included the January speech at the World Economic Forum in Davos, Switzerland. The February State of the Union address was included as well. The CFTC calculated that he netted $107,539.02 in profits from these trades.
It was not the government that caught him first, but Kalshi. Kalshi's trade surveillance team detected suspicious trading patterns. Kalshi froze his account, locking in more than $90,000 in profits within the account. After concluding its internal investigation, Kalshi referred the matter to the CFTC. Kalshi's rules prohibit trading on information obtained through one's employment duties.
The case became known to the world on July 16, 2026. ABC News was first to report Perez's name and the allegations. CBS News promptly confirmed the report. Robert DeNault, Kalshi's head of enforcement, stated that the company's surveillance team caught the transactions and referred them to authorities.
The White House initially placed him on unpaid administrative leave. Press Secretary Karoline Leavitt explained that this was done at the president's direction. Leavitt described the episode as "deeply regrettable and frankly embarrassing." On July 28, a White House official confirmed that he was no longer employed by the federal government.
It is difficult to believe the White House was unaware of such matters. The White House Office of Administration had sent a memo to staff on March 24, 2026. It was a warning not to bet on prediction markets using non-public information. By then, however, Perez's trading had already concluded.
43.4 The Sanctions: Disgorgement, Civil Penalties, and a Three-Year Trading Ban
On August 28, 2026, the CFTC announced its settled order with Perez. He was required to disgorge the entire $107,539.02 earned from the trades. In legal terminology, this is known as disgorgement of ill-gotten gains. On top of this, a $65,000 civil monetary penalty was imposed. The two combined totaled $172,539.02.
The media frequently referred to this sum as a "$172,000 fine." However, the actual civil penalty was $65,000. The remainder represented the return of the money he had made. The CFTC noted that it reduced the penalty by approximately 40 percent because he had actively cooperated with the investigation. He was barred from trading on CFTC-regulated markets for three years. Kalshi likewise barred him from its platform for the same duration. In reaching the settlement, he neither admitted nor denied the allegations.
The CFTC determined that he breached the duty of trust and confidence he owed as a federal employee. Specifically, he used material non-public information obtained through his official duties for personal gain.
There was no criminal penalty. According to ABC News reporting, the CFTC notified the U.S. Attorney's Office for the Southern District of New York during the investigation. However, federal prosecutors did not open a criminal investigation. Consequently, Perez was neither arrested nor indicted. The price he paid was dismissal, disgorgement, a civil fine, and a trading ban.
A month earlier, on July 31, a similar enforcement action had taken place. Former Representative George Santos reached a settlement with the CFTC agreeing to pay approximately $35,000 over trades in Kalshi's State of the Union market. Santos had wagered in that market while publicly posting false statements regarding whether he would attend the State of the Union address. Sanctions surrounding prediction markets were thus handed down in succession within a single month.
43.5 'Burdensome-Mix': The Suspicious Account on the Eve of the Maduro Operation
If the Perez case was a matter of a single speech manuscript, the Van Dyke case was a matter of military secrets.
In the early morning hours of January 3, 2026, U.S. forces staged a raid on Caracas, the capital of Venezuela. The mission was designated "Operation Absolute Resolve." U.S. forces captured President Nicolás Maduro and his wife, Cilia Flores. The two were transferred aboard the amphibious assault ship USS Iwo Jima and subsequently transported to the United States. Maduro is currently standing trial in federal court in Manhattan, New York, on charges including narco-terrorism conspiracy.
On the day of the operation, political investigator Tyson Brody spotted a strange account on Polymarket. The account username was "Burdensome-Mix." This account had been created barely a week prior. Yet it held the single largest position of "Yes" contracts in the market "Will Maduro leave power before January 31?"
At the time, this market viewed the likelihood of Maduro's ouster as slim. A single "Yes" contract was trading at around 7 cents. This meant the market priced the probability at roughly 7 percent. Under these circumstances, the new account poured $32,537 into that single market.
When the operation succeeded, the contract settled at "Yes." From this single wager alone, the profit amounted to $404,222. The total payout, including the initial principal, was $436,759.61. The principal had multiplied by approximately 13.4 times.
Once reports surfaced, the username was changed to an indecipherable combination of letters and numbers. On January 5, NPR raised suspicions of insider trading regarding this account. Multiple internet sleuths attempted to track down the owner, but failed. One legal expert expressed skepticism that the matter could be prosecuted criminally. The reason was that it would be difficult to prove that the government suffered any tangible loss.
43.6 The Mask Comes Off: The Arrest and Indictment of Master Sergeant Van Dyke
The owner of the account, anonymous for more than three months, was revealed on April 23, 2026. The U.S. Department of Justice unsealed an indictment from the U.S. Attorney's Office for the Southern District of New York. The account owner was Van Dyke, a Special Forces Master Sergeant stationed at Fort Bragg, North Carolina. He was 38 years old at the time. Federal investigators had arrested him the night before the announcement.
The indictment outlined the sequence of events as follows: Van Dyke participated in the planning and execution of the operation to capture Maduro. He had received classified security training and signed non-disclosure agreements. The agreements contained pledges never to disclose operational information to anyone.
In late December 2025, he created a Polymarket account and deposited funds. Over the ensuing week, he placed 13 wagers across markets related to Venezuela and Maduro. Across four markets, the total wagered was $33,034. The Department of Justice calculated his overall net profit at approximately $409,881.
On the day of the operation, he withdrew most of his profits from the Polymarket account. The money was transferred to a newly created cryptocurrency wallet. The indictment stated that he concealed his connection location using a Virtual Private Network (VPN). He changed the email address linked to the exchange account. As media coverage mounted, he also requested that Polymarket delete his account.
Yet traces remained. After Maduro was brought aboard the USS Iwo Jima, a photograph was taken of Van Dyke in uniform holding a rifle. That photograph had been uploaded to his Google account. Prosecutors presented grand jury subpoenas, cryptocurrency exchange records, search warrants, and social media accounts as evidence. Polymarket also announced that it had identified a user trading on classified information and referred the case to the Department of Justice.
Prosecutors brought five charges against him: First, unlawful use of confidential government information for personal gain. Second, theft of non-public government information. Third, commodities fraud. Fourth, wire fraud. Fifth, engaging in monetary transactions in criminally derived property. If convicted on all counts, he faces a theoretical maximum of up to 60 years in prison. The CFTC also filed a separate civil enforcement action against him on the same day.
On April 28, Van Dyke pleaded not guilty in federal court in Manhattan. The court released him on a $250,000 bond. He had to surrender his passport and firearms, and his travel was restricted. His defense attorney, Mark Geragos, called him an "American hero." Geragos argued that his client had been indicted for actions that "are not a crime."
43.7 The Legal Battle: Are Prediction Market Contracts Swaps?
The Van Dyke case is the first federal criminal case involving prediction market insider trading to advance to trial. On June 8, 2026, the court tentatively set the trial date for December 7. The CFTC's civil lawsuit has been stayed pending the outcome of the criminal trial.
The defense team's counterattack is two-pronged.
One prong centers on classified information. Geragos argued that to prove guilt, prosecutors must disclose the operational decision-making process. They would need to reveal who was inside the White House Situation Room and who made the final decisions. This is a standard strategy employed by defendants in trials involving state secrets. If the government is reluctant to disclose classified intelligence, the prosecution's case can be thrown into disarray.
The other prong centers on statutory application. Prosecutors treated Polymarket contracts as "swaps" under the Commodity Exchange Act (CEA). A swap is a financial contract in which two parties agree to exchange payments based on a future value. If classified as swaps, CFTC regulations and statutory provisions against commodities fraud apply. In an August motion to dismiss the indictment, the defense attacked this core premise. They argued that prediction market bets are gambling, not swaps. If that argument holds, the legal foundation for three of the five counts is undermined. The defense team characterized the indictment as a government "experiment."
The CFTC requested permission from the court to submit an amicus brief on this issue. On August 24, the defense filed an opposition brief. The rationale was that the CFTC is not a neutral friend-of-the-court, but an interested party litigating its own concurrent case.
The outcome of this trial extends far beyond the fate of a single individual. If the court determines that the contracts are swaps, the entire prediction market industry will become subject to insider trading regulations on par with securities markets. If it rules the other way, individuals in possession of state secrets will find an escape route through the regulatory cracks of gambling law.
43.8 Perez and Van Dyke: Why Their Penalties Diverged
While the actions of the two men were similar, the outcomes differed dramatically. Van Dyke was arrested and faces a criminal trial on five felony counts. Perez was never arrested, concluding his matter through a civil settlement.
The divergence stems from the nature of the information. The information Van Dyke used was classified military intelligence. U.S. law treats the misappropriation of classified secrets for personal profit as a criminal offense. The speech drafts Perez handled were not classified documents. They were manuscripts set to be disclosed to the world an hour later. This context likely explains why prosecutors did not open a criminal investigation. However, prosecutors never publicly disclosed the reasons for not prosecuting.
The dollar figures and operational ramifications also differed. Van Dyke's profit of approximately $410,000 was nearly four times that of Perez. Moreover, the timing of his trades came just before troops were deployed into action. If operational intelligence is reflected in market prices beforehand, the enemy could be tipped off. For the same reason, Israeli authorities indicted a reservist and two civilians in February 2026. The two individuals were charged with wagering on Polymarket using military operational intelligence. The Israel Defense Forces stated that such bets posed a tangible danger to military operations and national security.
43.9 Criticism That the Blade Strikes Only Downward
As the two cases came to light, the direction of criticism quickly pointed upward. The question was why lower-level operatives were being caught while the corridors of power remained untouched.
Critics cited several compelling points.
First is the relationship between prediction markets and the president's family. President Trump's eldest son, Donald Trump Jr., served concurrently as an advisor to both Kalshi and Polymarket. 1789 Capital, a venture capital firm in which he participates, invested in Polymarket. The agency overseeing both companies is the CFTC. Experts pointed out that because of these ties, it was difficult for the CFTC to deal aggressively with either company.
Second is the stock trading that took place within Congress during the same period. Senator Markwayne Mullin purchased shares of Chevron and RTX on December 29, 2025. This was just five days before the Maduro operation. The transactions were disclosed at between $15,001 and $50,000 for each stock. Chevron is the only major American oil company producing in Venezuela. RTX, formerly Raytheon, is a massive defense contractor for the U.S. Department of Defense. Mullin was a member of the Senate Armed Services Committee, which receives classified intelligence briefings. He was subsequently nominated as Secretary of Homeland Security. Mullin's office explained that a third-party asset manager handled all of his investments. To date, no evidence has surfaced indicating that he bought the stock with advance knowledge of the operation. Nor was any investigation opened.
Third is the weakening of the anti-corruption enforcement apparatus. The Department of Justice's Public Integrity Section (PIN) was created in 1976 in the aftermath of the Watergate scandal. It is an organization of prosecutors dedicated exclusively to public official corruption. In September 2025, the American news outlet NOTUS reported that the number of full-time prosecutors in this section had plummeted from 36 down to just two. The rest had quit under pressure, resigned in protest, or been reassigned elsewhere. It was the smallest headcount since the section's establishment in 1976.
These facts do not automatically prove illegality on the part of high-ranking figures. Yet the monitoring apparatus shrank, conflicts of interest grew entangled, and punishment landed exclusively upon operational staffers. This is why citizens felt that the sword of the law cuts only downward.
43.10 Institutional Loopholes and Legislative Attempts
The laws preventing insider trading in prediction markets remain ill-defined. In securities markets, decades of accumulated insider trading case law exist. In prediction markets, almost no such case law exists. This is why the Van Dyke trial serves as the de facto first litmus test.
Congress did take action. Democratic Representative Ritchie Torres introduced a bill shortly after the Maduro betting came to light. Its title was the "Public Integrity in Financial Prediction Markets Act of 2026." The measure covers federal elected officials, political appointees, executive branch civil servants, and congressional staffers. It bars them from buying or selling contracts related to policy or political outcomes using non-public information obtained—or obtainable—through their official duties. Thirty Democratic lawmakers, including former House Speaker Nancy Pelosi, signed on as co-sponsors. Kalshi CEO Tarek Mansour also expressed support for the bill. As of the writing of this manuscript, there has been no news of the bill passing into law.
There were movements from Republicans as well. In May 2026, Representative James Comer, Chairman of the House Oversight Committee, demanded documents from Polymarket. The request covered betting records and internal communication records related to Maduro.
The industry also belatedly bolted the doors. Kalshi amended its rules to require users to disclose their employer. Knowing a user's employer makes it possible to filter out in advance those who might trade on official duty information. Polymarket had previously drawn criticism when its CEO made remarks seemingly defending insider trading. Following this scandal, however, it stated publicly that insider trading has no place on its platform.
43.11 Conclusion: To Whom Does Information Belong?
The scale of these two cases is small compared to the suspicions surrounding oil futures examined in the previous chapter. The money Perez made was just over $100,000. The money Van Dyke made was roughly $410,000.
Yet the two cases left behind one unmistakable question: To whom does information generated by the state belong?
A presidential speech manuscript is written to be released to the public all at once. A military operational plan is a secret bought with taxpayers' money and soldiers' lives. Neither piece of information is the private property of the public servants who handle it. When someone who sees that information first wagers money, ordinary users on the other side lose their funds. The "wisdom of the crowd" championed by prediction markets crumbles at this very point.
The two cases also demonstrate that institutions did not entirely fail to function. Kalshi's surveillance team caught Perez. Polymarket handed Van Dyke over to the Department of Justice. The CFTC and prosecutors each initiated enforcement actions.
The remaining question is how far this blade can reach. The staffer who polished the prompter and the NCO who deployed to the battlefield stood before the courtroom and the settlement agreement. Only when the same yardstick reaches upward to the seats where policy is decided will the claim that all are equal before the law finally earn trust. The trial of Master Sergeant Van Dyke, scheduled for December 7, will serve as its first test.
ABC News, "White House teleprompter operator made more than $100K betting on Trump's speeches: Sources," July 16, 2026.
CBS News, "White House teleprompter operator made more than $100,000 on Kalshi bets on Trump speeches," July 17, 2026.
Associated Press (published in ABC News, The Washington Post, The Boston Globe), "Teleprompter operator accused of betting on Trump speeches is out of a job," July 28, 2026.
ABC News, "Ex-White House teleprompter operator to pay $172,000 to settle CFTC probe," late August 2026.
The Washington Times, "Former Trump teleprompter operator suspended from Kalshi over insider trading," August 31, 2026.
Crypto Times, "CFTC Orders Ex-White House Staffer to Pay $172K for Insider Trading on Kalshi," August 29, 2026.
NPR, "A $400,000 profit on Maduro's capture raises insider trading questions on Polymarket," January 5, 2026.
Fortune, "An anonymous Polymarket trader made $400,000 betting on Maduro's downfall," January 12, 2026.
U.S. Department of Justice Press Release, "U.S. Soldier Charged With Using Classified Information To Profit From Prediction Market Bets," April 23, 2026.
CNBC, "U.S. soldier arrested for Polymarket bets on Maduro capture that won $400K," April 23, 2026.
ABC News, "DOJ arrests soldier who made $400,000 betting on Maduro's removal," April 2026.
Forbes, "'Burdensome-Mix' Unmasked: Soldier Charged In First Polymarket Case," April 24, 2026.
CNN, "Soldier accused of betting on Maduro raid, winning $400,000, pleads not guilty," April 28, 2026.
PBS NewsHour (AP), "U.S. soldier pleads not guilty to using Maduro raid intel to win $400,000 on Polymarket," April 28, 2026.
ABC News, "Tentative trial date set for soldier who allegedly made $400,000 off Maduro's capture," June 8, 2026.
Decrypt, "December Trial Date Set for US Soldier Accused of Insider Trading on Polymarket," June 9, 2026.
Casino.org, "Polymarket Insider Trading Case Is Illegal 'Government Experiment,' Lawyers Say," August 5, 2026.
Cointelegraph, "CFTC, US soldier accused of illegal Polymarket bet spar over interpretation of prediction markets," August 24, 2026.
NBC News, "Israel charges reservist over classified information bet on Polymarket," February 2026.
Quiver Quantitative, "Sen. Markwayne Mullin Bought Chevron and Raytheon Stock Days Before U.S. Venezuela Operation," January 20, 2026.
Snopes, "Markwayne Mullin bought Chevron, Raytheon stock days before Maduro capture," March 24, 2026.
NOTUS, "The Justice Department Had 36 Lawyers Fighting Corruption Full-Time. Under Trump, It's Down to Two.," September 22, 2025.
Office of Representative Ritchie Torres Press Release, "Rep. Ritchie Torres Introduces Legislation to Crack Down on Insider Trading on Prediction Markets," January 2026.
Business Insider (published in Yahoo Finance), "A well-timed Maduro bet on Polymarket paid out big. A new bill would keep government insiders out," January 2026.