United States vs. Affirmative Action Regime

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United States vs. Affirmative Action Regime

United States vs. Affirmative Action Regime

@RICOLAMAAR

Exploring the possibility US vs. MN may be RICO in fact. Powered by self described anti fraud extremist group https://t.co/qW1huvJ6oS

Minnesota Katılım Şubat 2009
109 Takip Edilen11 Takipçiler
United States vs. Affirmative Action Regime
The best thing about @AntiFraudAction is that no one ever had to say "let's build a fraud machine." Affirmative Action let it happen. The only requirements were a self serving interpretation of law and abandoning fiduciary responsability.
JD Vance@JDVance

For far too long, illegal alien fraudsters and criminals have been allowed to scam Americans out of their hard-earned tax dollars. That stops now. Colin McDonald will be a key asset to the DOJ and the President's War on Fraud. nypost.com/2026/03/24/us-…

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Elon Musk
Elon Musk@elonmusk·
People giving OpenClaw root access to their entire life
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Owen Gregorian
Owen Gregorian@OwenGregorian·
Two Philadelphia Men Admit To AI-Assisted $3.5M Housing Aid Scam In Minnesota | Tyler Durden, Zerohedge This will be the first of many AI scams of its kind, we predict... Two men from Pennsylvania admitted to repeatedly flying from Philadelphia to Minneapolis to exploit Minnesota’s Housing Stabilization Services (HSS) program, stealing about $3.5 million, according to prosecutors. Authorities say they used artificial intelligence to forge records and falsely bill for services, according to Fox News. Anthony Waddell Jefferson, 37, and Lester Brown, 53, registered businesses as HSS providers, claiming they offered housing support and transition services. In reality, officials say much of the work never happened. Launched in 2020, HSS helps people with disabilities, seniors, and those struggling with mental health or addiction secure housing. The Justice Department has noted the program had “low barriers to entry and minimal records requirements.” Attorney General Pam Bondi said, “Criminal fraud not only robs taxpayers — it shatters trust in our institutions… Our prosecutors will work tirelessly to unravel criminal fraud schemes.” Fox News writes that prosecutors allege the pair billed Medicaid for services supposedly provided to about 230 clients. Both men pleaded guilty to wire fraud and face up to 20 years in prison. Deputy Attorney General Todd Blanche stated, “Minnesota will no longer be a haven for fraud under our watch,” adding that dozens of convictions have already been secured in the state. Investigators say Jefferson and Brown promoted themselves as “The Housing Guys” at shelters and Section 8 housing sites to recruit clients. Jefferson allegedly hired relatives and associates to produce fake service notes, sometimes using invented employee names. Brown reportedly failed to keep required records. Authorities also say the men fabricated emails and used ChatGPT to generate false documentation. Assistant Attorney General A. Tysen Duva said, “They traveled across the country for one purpose: to prey upon and steal millions in taxpayer dollars,” emphasizing that such schemes threaten federally funded programs nationwide. zerohedge.com/markets/philly…
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Owen Gregorian
Owen Gregorian@OwenGregorian·
Cognitive Illusion: Why AI Still Can’t Think Like a Human | Neuroscience News Summary: A major debate in psychology: whether a single theory can explain the entire human mind—recently turned to AI for answers, but new evidence suggests we may be witnessing a digital illusion. While the “Centaur” AI model initially made waves for its ability to simulate human behavior across 160 cognitive tasks, researchers have uncovered evidence of significant overfitting. Instead of genuinely understanding psychological principles, the model appears to be relying on statistical “test-taking strategies.” This discovery highlights a critical bottleneck in artificial intelligence: the gap between sophisticated data fitting and genuine language comprehension, serving as a warning against treating black-box models as true mirrors of human thought. Key Facts - The Overfitting Trap: Researchers found that “Centaur” didn’t actually process task instructions; when told to “Choose Option A,” it ignored the command and continued picking “correct” answers from its training patterns. - Pattern Matching vs. Understanding: The model’s high performance across 160 tasks is likely the result of learning specific answer patterns rather than simulating the underlying cognitive processes of decision-making or executive control. - The Language Bottleneck: The study suggests that the most significant barrier to creating a “General Cognitive Model” is not data size, but the model’s inability to capture and respond to the actual intent of language. --- In psychology, it has long been debated whether the human mind can be explained using a unified theory or whether each aspect of the human mind, e.g., attention and memory, has to be separately studied. Now, artificial intelligence (AI) models are entering the discussion, offering a new way to probe this age‑old question. In July 2025, Nature published a groundbreaking study introducing an AI model named “Centaur”. Built upon conventional large language models and fine‑tuned with psychological experiment data, this model claimed to accurately simulate human cognitive behavior across 160 tasks covering decision‑making, executive control, and other domains. The achievement attracted widespread attention and was regarded as potentially signaling AI’s capability to comprehensively simulate human cognition. However, a recent study published in National Science Open has raised significant doubts about the Centaur model. The research team from Zhejiang University pointed out that the “human cognitive simulation ability” demonstrated by Centaur is likely a result of overfitting—meaning the model did not genuinely understand the experimental tasks but merely learned answer patterns from the training data. To validate this perspective, the research team designed multiple testing scenarios. For instance, they replaced the original multiple‑choice question stems, which described specific psychological tasks, with the instruction “Please choose option A”. In such a scenario, if the model truly understood the task requirement, it should consistently select option A. However, in actual testing, Centaur still chose the “correct answers” from the original question database. This indicates that the model did not make judgments based on the semantic meaning of the questions but relied on statistical patterns to “guess” the answers—akin to a student achieving high scores through test‑taking strategies without understanding the questions. This study serves as a reminder to adopt a more cautious approach when evaluating the capabilities of large language models. While large language models are powerful tools for data fitting, their “black‑box” nature makes them prone to issues such as hallucinations and misinterpretations. Only through precise and multi‑faceted evaluations can we determine whether a model genuinely possesses certain professional abilities. Notably, despite Centaur’s positioning as a “cognitive simulation” model, its most significant shortcoming lies in language comprehension itself, specifically, in capturing and responding to the intent of the questions. This study also suggests that genuine language understanding may be the most critical technological bottleneck in the path toward building general cognitive models. Read more: neurosciencenews.com/ai-llm-human-c…
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Owen Gregorian
Owen Gregorian@OwenGregorian·
Somali Fallout: US Treasury Will Pay Snitches Up To 30% On Fraud, Money Laundering Prosecutions | Tyler Durden, Zerohedge On the heels of all that Somali fraud in Minnesota, the US Treasury Department on Friday launched a new portal where people can report suspected fraud, money laundering and sanctions violations. According to officials, tips should be submitted with supporting documents. "FinCEN’s Office of the Whistleblower is accepting tips involving violations and conspiracies related to the Bank Secrecy Act, U.S. sanctions programs, and several other laws critical to safeguarding the U.S. financial system and national security. " Individuals who voluntarily provide information about such violations or conspiracies to commit violations may be eligible for awards if the information they provide leads to a successful enforcement action by the Department of the Treasury (Treasury) or the Department of Justice (DOJ) that results in monetary penalties exceeding $1,000,000, and the requirements in 31 U.S.C. § 5323 and its implementing regulation are otherwise met. A copy of the statute is available here. -FINCEN How much are we talking about? Between 10-30% "of what has been collected of the monetary sanctions imposed in the action or related actions," and it's got to be north of $1 million. "President Trump has been clear that Americans have a right to know that their tax dollars are not being diverted to fund acts of global terror or to fund luxury cars for fraudsters," Treasury Secretary Scott Bessent said, adding that whistleblowers may receive financial rewards. "At Treasury, we follow the money. We did it with the mafia, we have done it with the cartels, and we’re doing it with the Somali fraudsters," he added. "We are going to offer whistleblower payments to anyone who wants to tell us the who, what, when, where, and how this fraud and money laundering has occurred." Bessent told CNBC's "Squawk Box" "It's going to be a great way to ferret out waste, fraud and abuse," adding "We're setting up a website and we will be giving rewards up to 10% to 30% of the fines that we levy." Minnesota has seen a series of large-scale fraud schemes targeting state-administered federal programs, including child nutrition (Feeding Our Future), housing stabilization services, autism/early intervention (EIDBI), and other Medicaid-funded services. The largest single case, Feeding Our Future, involved a $250 million COVID-era scam where largely Somalian defendants submitted fake meal claims and invoices for nonexistent food distribution, with proceeds funding luxury purchases, real estate, and overseas transfers. Wider probes into 14 high-risk Medicaid programs (totaling ~$18 billion spent since 2018) estimate that half or more may be fraudulent, pushing overall losses potentially into the billions; additional schemes in personal care assistance, home/community-based services, and substance-use programs have added hundreds of millions more. Many operations involved Somali-run nonprofits, providers, or shell companies that billed for undelivered or fabricated services, though the Feeding Our Future "mastermind" (Aimee Bock) was not Somali. Suspected fraud has extended to child-care/daycare centers (sparked by a late-2025 viral video alleging $30–100 million in overbilling) and other providers, prompting active FBI/DOJ investigations into dozens of centers. Meanwhile, the Trump administration has focused on Minnesota Governor Tim Walz and his state, including its Somali community of up to 80,000 - alleging fraud dating to 2020 by some nonprofit groups which were backed by federal programs administering the state's childcare and other social services programs. The IRS is also launching a dedicated fraud task force focused on targeting the misuse of funding by 501(c)(3) tax-exempt entities, Reuters reports. zerohedge.com/political/soma…
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United States vs. Affirmative Action Regime
The @TheJusticeDept generated the @CivilRights case of the century. The Lawsuit Against Minnesota's Affirmative Action Regime. x.com/Troyapeterson/… The history of the Attorney General's Office is a good place to start. x.com/Wikitube911/st…
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JewelEldorAI@Wikitube911

1/20 Two law schools produced every MN AG for 99 yrs. Prohibition Era - George Floyd - Feeding Our Future en.wikipedia.org/wiki/Minnesota… 78 years from one University is unique in US History.

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