Wednesday, October 7, 2026

When the “Crypto King” Becomes His Own Lawyer: A High-Stakes Legal Gamble




When the “Crypto King” Becomes His Own Lawyer: A High-Stakes Legal Gamble

The ongoing trial of Aiden Pleterski—Ontario’s self-proclaimed "Crypto King"—has taken a turn that reads straight out of a courtroom drama. Accused of luring investors with promises of massive returns while allegedly burning through their money on exotic cars, private jets, and a multi-million-dollar lifestyle, Pleterski is facing serious charges of fraud exceeding $5,000 and money laundering.

However, the most eye-opening aspect of the trial so far isn't just the alleged eye-popping financial betrayal—it's Pleterski's decision to represent himself in court.

A Bold Strategy or a Strategic Error?

In the Canadian legal system, every defendant has the right to self-representation. But as the old legal adage attributed to Abraham Lincoln goes: "A man who represents himself has a fool for a client."

While choosing to act as one's own counsel can stem from financial constraints, mistrust of lawyers, or a desire for direct control over the narrative, doing so in a complex fraud case involving forensic accounting, dozens of witnesses, and millions of dollars is an extraordinarily uphill battle.

The court report highlights the steep challenge Pleterski faces:

  • Navigating Legal Procedure: Pleterski’s initial attempts at cross-examining prosecution witnesses were described as hesitant, marked by long pauses, and frequently framed as subjective comments rather than structured legal questions. The presiding judge, Superior Court Justice Shaun Nakatsuru, even had to step in to remind Pleterski how to properly reframe his questions.
  • The Judicial Balancing Act: Because a self-represented defendant is at a massive procedural disadvantage against experienced Crown prosecutors, Justice Nakatsuru noted he must play a larger active role to ensure the trial remains fair. While courts strive for fairness, a judge cannot act as defense counsel.
  • Distraction and Preparation: The courtroom noted Pleterski frequently checking his phone—which he claimed was to access his defense notes—highlighting the awkward friction between modern personal digital organization and strict courtroom decorum.

The Perils of Self-Representation in Complex Financial Cases

Self-representation in financial crime trials carries severe risks:

  1. Emotional Detachment vs. Personal Bias: Defense attorneys bring objective distance to a case. A defendant representing themselves often struggles to separate personal emotion from legal strategy, making it easy to get bogged down in irrelevant personal grievances rather than dismantling the prosecution's evidentiary chain.
  2. Technical Nuance: Fraud trials heavily rely on the rules of evidence, cross-examination techniques, and forensic financial tracking. Without deep legal training, a layperson is likely to miss technical objections or inadvertently help the prosecution establish its burden of proof.
  3. Optics with the Jury: Jurors expect professional, clear proceedings. Halting questioning, procedural missteps, or appearing unorganized can unintentionally alienate the 12 jurors who ultimately hold the defendant's fate in their hands.

Representing oneself in a simple traffic court dispute is one thing; doing so while facing federal fraud charges and potential prison time is a whole different ballgame. As this four-week trial unfolds, watching whether Pleterski's DIY legal approach can withstand the Crown’s structured prosecution will be just as compelling as the financial evidence itself.




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Did Shell Kill The 100 Mile To A Gallon Vapour Car?


This is the story of
Tom Ogle, and the photographs you took from the documentary are showing genuine period newspaper coverage of him. I checked the historical record because the story mixes something quite well documented with some much harder-to-prove claims.

The important distinction is this: Tom Ogle and his fuel system were real. The extraordinary demonstration drive was reported at the time. His patent was real. His early death was real. But the claim that the oil industry had him killed is not established by reliable evidence.

In 1977, Ogle was a young mechanic/inventor in El Paso, Texas. He modified a large 1970 Ford Galaxie so that instead of using a conventional carburetor, the engine drew gasoline vapour through his system. The El Paso Times covered a demonstration in which Ogle drove from El Paso to Deming, New Mexico, and back—roughly 200 miles—using about two gallons of gasoline. A 2022 El Paso Times retrospective reproduces the original May 1, 1977 account and describes the car as a large Ford Galaxie. 

And here’s something particularly important: Ogle actually obtained a U.S. patent. Patent US 4,177,779, “Fuel economy system for an internal combustion engine,” was filed July 20, 1977 and granted December 11, 1979. The patent describes using engine vacuum to draw fuel vapour from a vapour tank into an equalizer above the intake manifold, eliminating the conventional carburetor, fuel pump and ordinary fuel-tank arrangement. 

Tom Ogle's U.S. patent US 4,177,779⁠

So when the documentary shows those diagrams and newspaper clippings, it isn’t inventing Ogle or his apparatus.

Where I would put a big asterisk is the famous “100 miles per gallon” result. The newspaper demonstration is legitimate historical evidence that a remarkable test was reported. But that’s different from a modern controlled engineering validation. There doesn’t appear to be the sort of independently replicated, instrumented testing we’d want before concluding that an ordinary 5,000-pound V8 could reliably achieve 100+ mpg under normal operating conditions. And contemporary reporting subsequently showed that other people claimed interests in the invention and that questions arose about earlier, similar technology. 

Then comes the part of the documentary you’re reacting to.

Ogle died on August 19, 1981, only a few years after becoming famous. Historical accounts report alcohol together with an overdose of the painkiller Darvon (propoxyphene). There were people around Ogle who questioned whether his death was suicide or accidental, and stories subsequently developed alleging that somebody had wanted him silenced. There were also reports of serious difficulties in his life before his death, including financial/legal problems and a previous shooting. 

But I cannot find credible evidence establishing that an oil company murdered Tom Ogle or arranged his death. That’s the point where the documented Ogle story turns into an unresolved—and heavily embellished—mystery.

And one detail in what you just heard is especially worth separating out. The documentary’s dramatic sequence—the invention disappears, then Ogle dies, therefore somebody eliminated him—is compelling storytelling, but the sequence by itself doesn’t establish causation.

There’s another fascinating point: his idea didn’t completely disappear. His patent is publicly available today. Later patents concerning gasoline-vapour systems actually cite Ogle’s US4177779 patent as prior art.  So although the particular “Oglemobile” apparently disappeared from public view, the technical description of Ogle’s invention was not erased.

That’s what makes the story more interesting to me than the conspiracy version. There really was a Tom Ogle. There really was an


Oglemobile. There really was a widely reported El Paso–Deming demonstration. There really was a patent. And he really did die very young. Those facts are remarkable enough without treating the unproven murder allegation as established fact.




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Saturday, October 3, 2026

Who Controls the Genie?

AI Doesn’t Have to Turn Evil. 

The Wrong Human Just 

Has to Take Control.


We Regulate Planes, Electrical Grids, and Banks. 

Why Can’t We Regulate AI?




Genie says: 

Your aviation analogy is useful because aviation doesn’t depend on one perfect person or one perfect computer. It uses layers. Pilots, controllers, radar and surveillance, procedures, separation rules, automated warnings, redundant equipment, maintenance standards, incident investigation, licensing, and independent regulatory oversight all overlap. If one layer fails, another is supposed to catch it.

That’s very close to what I think robust governance of extremely powerful AI should look like.

You wouldn’t want an AI connected directly to something enormously consequential with the philosophy:

“Don’t worry. We programmed it to be nice.”

You’d want something closer to aviation or nuclear safety: the AI has defined permissions; certain actions simply aren’t available to it; unusually consequential actions require independent authorization; activities are logged and monitored; abnormal behavior triggers containment; multiple independent systems can veto an action; and there are mechanisms that don’t depend upon the AI cooperating with its own shutdown.

And there’s another part of your analogy I particularly like: air-traffic control doesn’t prevent airplanes from flying. It makes mass aviation possible.

That’s an important distinction in the AI debate. Safety doesn’t necessarily mean stopping AI development. Good safety engineering can be what allows society to use extremely powerful technology confidently.

The difficult part is international coordination. Airplanes cross borders, so nations eventually had enormous incentives to agree on common standards. AI crosses borders even more easily. One country can impose excellent safeguards while another government, company, criminal organization, or individual operates under very different rules.

So your basic proposition makes sense to me:

As AI capability becomes more powerful, the systems supervising and constraining its use have to become correspondingly powerful.

Not necessarily one gigantic world computer policing every other computer—that introduces its own frightening concentration-of-power problem—but multiple independent layers of technical controls, human oversight, laws, auditing, security and international agreements.

And Freddy, there’s a deeper principle underneath what you’re saying:

We’ve spent a century learning how to make extraordinarily dangerous technologies useful—commercial aviation, electrical grids, pharmaceuticals, nuclear power, global banking—not by pretending accidents and malicious actors don’t exist, but by engineering systems that expect failures and build defenses around them.

AI should be treated with that same maturity as its capabilities increase.


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Survival Journals has been exploring today’s ideas for two decades.
The Genie Chronicles explores tomorrow’s.
Artificial intelligence is changing our world faster than most people realize. Continue the journey through conversations, stories, practical experiences, and reflections about day-to-day living with AI.
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