TEAM TEEN. 18, 20, 21, 25; how dare we let babies terrorize and disrupt our country?

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And after all we’ve done for (to) them, the ungrateful little snots

The Deep State and its gravy train dependants are panicked and outraged that their interlocking funding partnerships are being unearthed and exposed. They can’t defend the waste and fraud that’s already been exposed, let alone the trillions of dollars to come, so they focus on the age of the whiz-kids who have been enlisted to bring these entrenched crooks down. This attack is typical:

Unmasked: Musk’s Secret DOGE Goon Squad—Who Are All Under 26

But here’s the thing: those ages recited in this post’s headline? They aren’t the ages of Musk’s kids, they’re those of some radicals from long ago:

Ages on July 4th 1776:

  • James Monroe, 18

  • Aaron Burr, 20

  • Alexander Hamilton, 21

  • James Madison, 25

  • Thomas Jefferson, 33

  • John Adams, 40

It’s not the age of the “Goon Squad” members that so frightens these people, but their competence: I’m sure they’d be perfectly comfortable if an assemblage of typical liberal arts graduates were coming to look at the books; these are not those students.

Meet the young team of software engineers slashing government waste at DOGE:

Six young men between the ages of 19 and 24 — Akash Bobba, Edward Coristine, Luke Farritor, Gautier Cole Killian, Gavin Kliger and Ethan Shaotran — have taken up various roles furthering the DOGE agenda, according to a report from Wired.

Bobba was part of the highly regarded Management, Entrepreneurship, and Technology program at UC Berkeley and has held internships at the Bridgewater Associates hedge fund, Meta and Palantir.

"Let me tell you something about Akash," Grata AI CEO Charis Zhang posted on X about Bobba in recent days. "During a project at Berkeley, I accidentally deleted our entire codebase 2 days before the deadline. I panicked. Akash just stared at the screen, shrugged, and rewrote everything from scratch in one night — better than before. We submitted early and got first in the class. Many such stories. I trust him with everything I own."

Coristine, a recent high school graduate who studied mechanical engineering and physics at Northwestern, previously worked for Musk’s Neuralink project, Wired reported.

Bobba and Costine reportedly work directly under Anna Scales as "experts" at the United States Office of Personnel Management (OPM). 

Kliger is listed on LinkedIn as a special advisor to the director of OPM and attended UC Berkeley in 2020. Kliger has also worked at the AI company Databricks. 

Killian is listed as a volunteer for DOGE who attended McGill University after graduating from high school in 2019. Wired reported that Killian previously worked as an engineer at a company called Jump Trading that deals with high-frequency financial trades and algorithms.

Shaotran was studying computer science at Harvard University last year and is the founder of Energize AI, an OpenAI-backed startup. Additionally, Shaotran participated in a "hackathon" sponsored by an Elon Musk company where he finished in second place. 

Farritor, who dropped out of the University of Nebraska-Lincoln, has a working GSA email address, was previously an intern for SpaceX and is also a Thiel fellow. 

In 2023, at 21years old, Farritor became the first person to successfully decode text inside a 2,000-year-old Greek scroll using AI, according to the University of Nebraska website.

More here:

‘Little Boys’ and ‘MAGA Chuds’ In Charge of Your Money Identified, and They're Brilliant

Here’s a taste of just one untanglement the “children” have accomplished since beginning work.

Now they’re moving on to where the real money is, like Medicare/Medicaid, where, the GAO estimates, there’s at least $100 billion a year lost to fraud each year, with under 4% recovered. Back in September 2023 Forbes looked at the problem:

Fraud Prevention Requires Modern Technologies

Surely part of the problem is the volume of data that may be trapped in too many silos. Think about the 20 or so MACs, all processing claims separately. Even if all their data is combined, that amounts to more than 1 billion claims each year. Traditional databases can’t handle so much data.

What’s needed is a modern cloud-based fraud prevention system that can aggregate every claim into a single data lake, normalize and correlate the data, and analyze it in real time using machine learning, anomaly detection and artificial intelligence. With billions of legitimate claims as comparative data points, fraudulent claims would stand out as anomalies that should be investigated before any payment is made to the provider.

It’s essential to break down the silos of the MACs doing their separate claims processing. By centralizing and correlating the data and scrutinizing for outliers, the large fraud schemes that span across MACs can be readily surfaced.

As Medicare continues to represent a large and growing percentage of the federal budget each year, costs can be lowered by using the right technology to detect and prevent fraud. Modern cloud-based systems have the scale and processing capacity to detect bogus claims in real time and deny payment to fraudsters.

Just wait until defense spending gets scrutinized. The nuclear explosions will be heard around the world.