Technocrats Claim AI Breakthrough to Generate ‘Boundless’ Clean Fusion Energy, But You Won’t Get Any Of It

  • February 29, 2024
If Technocrats get a free source of energy, don’t think you will get one erg out of it other than what they decide to give you. Why? Because energy means economic activity and that is controlled by them. The first two requirements in the Technocracy Study Course (1934) were 1) Register on a continuous 24-hour-per-day basis the total net conversion of energy and 2) By means of the registration of energy converted and consumed, make possible a balanced load.

Yes, you read it right. The FIRST TWO (of seven) requirements had to do with energy.

As I wrote in Day 6: Technocracy’s Necessary Requirements

1. Register on a continuous 24-hour-per-day basis the total net conversion of energy

Conversion of energy means creating useable energy from stored energy like coal, oil or natural gas; when they are burned, electricity is generated. Hydroelectric and nuclear also convert energy. There were two reasons to keep track of useable energy: First, it was the basis for issuing “energy script” to all citizens for buying and selling goods and services. Second, it predicted economic activity because all such activity is directly dependent upon energy. (Note that Technocrats intended to pre-determine how much energy would be made available in the first place.)

2. By means of the registration of energy converted and consumed, make possible a balanced load

Once available energy was quantified, it was to be allocated to consumers and manufacturers so as to limit production and consumption. Technocrats would have control of both ends, so that everything is managed according to their scientific formulas.

The modern Smart Grid, with its ubiquitous WiFi-enabled Smart Meters on homes and businesses, is the exact fulfillment of these two requirements. The concept of “energy web” was first revitalized in 1999 by the Bonneville Power Authority (BPA) in Portland, Oregon. A government agency, BPA had a rich history of Technocrats dating back to its creation in 1937. The “energy web” was renamed Smart Grid in 2009 during the Obama Administration. Note that Smart Grid was a global initiative that intended to blanket the entire world with this new energy control technology.

The source of the energy is not the issue. What is monitored is the “net conversion” into work. Thus, the claim “boundless” and “free energy” means nothing.  ⁃ TN Editor

Princeton researchers report that a new AI model has solved one of the major roadblocks to generating fusion energy.

There are many stumbling blocks on the racetrack to nuclear fusion, the reaction at the core of the sun that combines atoms to make energy: Generating more energy than it takes to power the reactors, developing reactor-proof building materials, keeping the reactor free from impurities, and restraining that fuel within it, to name a few.

Now, researchers from Princeton University and its Princeton Plasma Physics Laboratory have developed an AI model that could solve that last problem. This model predicts, and then figures out how to avoid, plasma becoming unstable and escaping the strong magnetic fields that hold it inside certain donut-shaped reactors. They published their findings Wednesday in the journal Nature.

Donut-shaped tokamak reactors rely on magnets to squeeze plasma particles close together and keep them constantly spinning around a ring, creating a lasting fusion reaction. They’re one of the front-runners in designs for a practical fusion reactor. But if there’s one little disruption to the magnetic field lines running through the plasma, the delicate balance keeping it all contained gets out of whack: The plasma escapes the magnets’ clutches and the reaction ends.

Chijin Xiao, a plasma physicist at the University of Saskatchewan who wasn’t involved in the study, explained that these instabilities can lead to catastrophic consequences. “When the plasma stops operating, there are several risks: one is that all the energy stored in the plasma is going to be released as thermal energy and may damage the wall of the reactor,” she said. “More importantly, a sudden change in the [magnetic] current can introduce a great deal of force on the reactor that can really destroy the device.”

Xiao added that one of the biggest tokamak reactors around today, ITER in France, is only designed to withstand a few of these plasma disruptions before the whole machine has to be repaired—a huge expense. The goal is to catch instabilities while they’re small and intervene.

The Princeton lab’s model can predict so-called tearing mode instabilities 300 milliseconds before they happen. It doesn’t sound like a lot of heads-up, but it’s enough time to get the plasma under control, their study shows.

Researchers tested the algorithm on a real reactor, the DIII-D National Fusion Facility in San Diego. They saw that their AI-based system could control the power being pumped into the reactor and the shape of the plasma to keep the swirling particles in check.

Co-author Azarakhsh Jalalvand said in a statement that the success of the AI model comes from the fact that it was trained on real data from previous fusion experiments, rather than theoretical physics models.

“We don’t teach the reinforcement learning model all of the complex physics of a fusion reaction,” Jalalvand said. “We tell it what the goal is—to maintain a high-powered reaction—what to avoid—a tearing mode instability—and the knobs it can turn to achieve those outcomes. Over time, it learns the optimal pathway for achieving the goal of high power while avoiding the punishment of an instability.”

The study is significant, said co-author Jaemin Seo, because previous studies have only been able to suppress tearing instabilities after they happen. “Our approach allows us to predict and avoid those instabilities before they ever appear.”

But tearing mode instabilities are just one of the ways plasma can become unhinged. There are dozens of ways a glob of plasma can wobble, bend, or break apart: like a kinked garden hose, a fan, or even a sausage.

Nevertheless, tearing instabilities are one of the biggest challenges on the way to boundless clean fusion energy. “Tearing mode instabilities are one of the major causes of plasma disruption, and they will become even more prominent as we try to run fusion reactions at the high powers required to produce enough energy,” said Seo. “They are an important challenge for us to solve.”

AI will play a large role in controlling and maintaining fusion reactions, Federico Felici, a physicist at the Swiss Federal Institute of Technology who wasn’t involved in the study, told Live Science. “There’s a huge potential to unleash AI to get better control and to figure out how to operate such devices in a more effective way.” Felici and his team previously created an AI model to shape the plasma ring inside the Variable Configuration Tokamak.

The authors of the latest study describe their work as proof-of-concept at this stage and write in their paper that it’s still very much in the early stages of fine-tuning. They are hopeful, however, that it could be fine-tuned and eventually applied to other reactors, also to optimize the reaction or harvest the energy from it.

“Currently there’s experimental evidence to control those [plasma disruption] scenarios but those scenarios are so broad that with the current knowledge and data it’s still wait and see,” said Xiao.

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