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😨 NESARA/GESARA – The Progress Report –QFS, Dinar & Zimbabwe RV. 😨

NESARA (National Economic Security and Recovery Act) and GESARA (Global Economic Security and Recovery Act) are concepts originating from a set of economic reforms proposed in the United States in the 1990s. The original NESARA proposal included measures to abolish income taxes, cancel out debt, and return to a commodity-based currency system (such as gold), among other financial reforms. However, this proposal never became law.

Over time, NESARA and GESARA have become associated with a variety of conspiracy theories. These theories suggest that these acts have secretly passed and will lead to massive positive changes globally such as debt forgiveness, the abolishment of income tax, a new form of government, and even the distribution of vast sums of wealth from hidden sources. The theories often tie in other elements, such as secret societies, alien interventions, and the imminent arrest of powerful political personalities. The linguistics of these theories are focused to attach to Christian ethos mind patterns. In the language associated with NESARA/GESARA as conspiracy theories, the targets are clearly a specific subset of the Evangelical sects within Christianity. There is no penetration of the NESARA/GESARA language within the Islam, or Buddhist, or other religious communities. There is no penetration of this language into Leftist, or atheist, or other, non Christian communities.

Within the conspiracy theories attached to NESARA are statements that the act was signed into Law by President Bush, and then, immediately ā€˜hidden’ from the public while the Federal government supposedly is ā€˜blocked’ from implementing it by nefarious actors within the [deep state].

It's important to note that there is no credible evidence to support the existence of GESARA. While NESARA was an actual legislative proposal, it was never enacted. GESARA language first shows up eight months after the failure of NESARA to be advanced in the legislature. GESARA was a deliberate strategy to expand the scam to non USA citizens. It failed in this effort of expansion. There is evidence of funding behind a push for GESARA into specific Islamic groups in 2005 that failed to obtain traction. The details often cited in these theories do not correspond to anything in our common shared reality and are widely considered to be absolute bullshit by people who work within legitimate political or economic analysis areas.

This attitude of rejection, and disbelief, is also elicited by the ā€˜QFS’. The "Quantum Financial System" (QFS) is another concept frequently mentioned in conjunction with various conspiracy theories, particularly those surrounding NESARA/GESARA. It is described by proponents as a highly advanced technology system that would completely replace the current banking and financial systems around the world. The QFS is often depicted as being based on quantum computing technology, which proponents claim can provide heightened security through quantum cryptography and create a transparent, fraud-proof system. Aspects of the QFS include the idea that ALL resources within the Earth’s biosphere would be ā€˜placed on blockchain’ for an absolute accounting, and tracking, of the use of such resources. Note that many of the claims for the QFS actually mirror the goals, and function of the CCP Social Credit System.

Advocates of this theory suggest that the QFS will enable the seamless and instant transfer of currencies and that it would be immune to corruption, hacking, or manipulation. It is also said to be capable of ensuring complete privacy and anonymity of transactions, while simultaneously being fully transparent in terms of authorities’ ability to prevent illegal activities.

It’s important to clarify that, as of now, there is no verified existence of such a system in development or in use by any government or financial institution recognized by any financial entities or technology experts. The descriptions of the QFS often contain a mixture of some factual elements of quantum computing potentials and a lot of speculative, unfounded claims. Quantum computing itself is in the early stages of development, primarily focused on research rather than practical applications, especially on the scale described in QFS theories. There is NO ā€˜Quantum computer network’ in operation now, and given that Quantum computers are batch process, analog machines that cannot run digital software, it is not technically possible for Quantum computers to run a digital network. Quantum computers cannot run digital software, and can NOT host AI. Most of the Quantum computing world is still in research mode, and the technology is likely two decades away from any form of commercial adoption. Quantum computers, by the nature of the technology, will always be ā€˜batch processors’, and will NEVER be used to ā€˜run networks’.

Claims that the QFS is operational, or there is a Quantum computer based network, need to be challenged, and demands made for receipts be imposed upon those people making such claims as they are incorrect, inaccurate, and may be deliberate lies attempting to deceive.

The concepts of NESARA/GESARA and the Quantum Financial System (QFS) can be particularly appealing to individuals with limited financial understanding because they promise simple solutions to complex financial issues and present an idealized scenario where financial burdens such as debt and taxes are effortlessly resolved. These narratives are DESIGNED to specifically target and impact those with lower financial literacy:

Complexity and Jargon: The use of complex terms and financial jargon (like "quantum technology" in the case of QFS) can be overwhelming. People who aren't familiar with these concepts might assume the information is legitimate simply because it sounds sophisticated and technical.

Promises of Wealth and Debt Relief: These theories often include promises of imminent wealth distribution and debt forgiveness, which can be very attractive to anyone struggling financially. The hope of such outcomes can cloud judgment, leading individuals to overlook the lack of evidence or logical basis behind these claims.

Exploitation of Distrust: Many of these theories tap into a general distrust of governmental and financial institutions. For individuals who feel marginalized or cheated by the system, the idea that there is a hidden or suppressed solution can be very appealing.

Urgency and Exclusivity: By suggesting that these events are about to happen, these theories create a sense of urgency that can rush individuals into making hasty decisions, such as investing in certain assets, joining groups, or donating money to causes that purport to support the implementation of these acts.

Scams and Frauds: Scammers use these theories to legitimize fraudulent schemes, asking people to invest in new "quantum-resistant" cryptocurrencies, participate in exclusive financial opportunities linked to the supposed upcoming changes, or buy products and services that are "necessary" to prepare for the transition.

Social Proof and Echo Chambers: People discussing these theories often form tight-knit communities that reinforce each other's beliefs. This social validation can make the theories seem more credible to someone who is unfamiliar with how financial systems actually work. A key aspect of identifying these communities is the language that constantly brings the concept back to ā€˜faith’, and the invocation of language found in religious settings which is tied to the financial frauds of NESARA/GESARA/QFS.

The NESARA/GESARA/QFS scams are dependent on directing the language within the discussion to specific terms in order to invoke ā€˜faith’ as an emotion in order to support the scam internally within the ethical structure of the victim. It is a sophisticated attempt to prey upon in-built mental pathways. Once these paths are captured by the scammer, it becomes incredibly difficult to dissuade the victim from their attitude that these scams are real. This is due to the deep religious hooks within the victim’s personality. This language is further reinforced by the continuous exposure for a lifetime to the same language from THE most effective scam in history, the Federal Reserve note which is not money, and is a legislative supported debt instrument.

Federal Reserve Notes are legal tender, with the words "this note is legal tender for all debts, public and private" printed on each note. The notes are backed by financial assets that the Federal Reserve Banks pledge as collateral, which are mainly Treasury securities and mortgage agency securities that they purchase on the open market by fiat payment. In other words, the Federal Reserve Bank, which is not part of the Federal government, and is not a bank, is ā€˜backing’ their debt notes (aka ā€˜dollars’) with other debt instruments (not money) that the government produces that the FED purchases with its fiat dollars. So the dollar is a debt instrument issued by a private corporation, and loaned to the US Government for use at a cost of interest payments by the People of the USA to the private corporation of the Federal Reserve. The BIGGEST scam of them all.

There are many linguistic ties between the NESARA/GESARA/OFS scam and the ā€˜Iragi RV’, or the Zimbabwe RV. Note that these scams offer the Kuwaiti Dinar RV as ā€˜proof’ that the same occurrence will emerge for these other currencies from Iraq and Zimbabwe.

The situation of the Kuwaiti currency ā€˜revalue’ were entirely unique, and were based off of the geopolitical movements of the Bush Regime. This arose after the failure to convince Saddam Hussein to allow STF (special technology forces) of the US military to enter three ziggurats in Iraq for the purposes of examining, and removing artifacts. This failure led to the Bush Regime giving Saddam Hussein ā€˜permission’ to invade Kuwait. This permission was to create the conditions of the Iraq invasion of Kuwait. That invasion caused the Kuwaiti dinar currency to collapse as the financial world assumed that the government of the country was gone, thus the currency was worthless. This led to an international devaluation of the Kuwaiti dinar in the global financial markets. There is evidence to support the idea that members of the Bush Regime anticipated this effect, and purchased billions of dinars. They bought the Iraqi currency as they knew the Bush Regime would be restoring the Kuwaiti power structure as part of their invasion of Iraq to loot the ziggurats. This occurred, the Kuwaiti government was restored, and faith returned to the Kuwaiti Dinar within the international currency markets and thus the ā€˜value’ of the dinar was raised and those who were in on the scheme profited hugely.

Note that the government of Kuwait did NOT ā€˜revalue’ the dinar. That was a function of the open markets in currency trading, and the underlying plot by the Bush Regime to manipulate these markets as a side effort in their Iraq War. There was NEVER any repurchase of the Kuwaiti Dinar by the government of Kuwait in any deliberate attempt to ā€œRe-Valueā€ their currency.

No government will ever Re-Value their currency upwards in purchasing power (value). There is NO incentive for any fiat currency to be worth ā€˜more’ in purchasing power. It is in the nature of fiat currencies that they can NOT be revalued upward in purchase power by the government that issues them. INFLATION is the only route available for non-backed currencies.

During the 1930s, the United States was grappling with the Great Depression, a period of severe economic downturn that caused widespread hardship. In response to deflationary pressures—where prices and wages fell dramatically—there were concerted efforts by the government and the Federal Reserve to induce inflation into their currency which was dying against the real purchasing power of gold and silver constitutional money. These efforts aimed to increase the money supply and raise the price level, thereby relieving some of the economic stress. This effort was coordinated by the Fed and forced through a reluctant Congress by bribery, and extortion, and threats.

Key Actions by the Federal Reserve and the U.S. Government:

Abandonment of the Gold Standard (1933): One of the significant steps towards inducing inflation involved the United States moving off the gold standard temporarily. President Franklin D. Roosevelt suspended the gold standard, which had constrained the Fed's ability to increase the money supply because the dollar was pegged to a fixed amount of gold. By moving off the gold standard, the Fed could print more money which is the definition of inflation.

Executive Order 6102 (1933): This order required U.S. citizens to exchange their gold coins, gold bullion, and gold certificates for U.S. dollars. This measure was intended to prevent hoarding of gold and to increase the gold reserves held by the Federal Reserve, thereby giving it more leverage to increase the money supply. This action made every American citizen an economic eunuch now dependent on a private corporation for ā€˜money’, and they (the Fed) kept the money (gold), and rented out their currency (the dollar) in exchange for debt against the government and people of the US as was designed by the Freemasons who plotted to bring in the Federal reserve in 1910.

Devaluation of the Dollar: The Gold Reserve Act of 1934 officially devalued the dollar in gold terms from $20.67 to $35 per ounce of gold. This devaluation was aimed at increasing the price of goods, making American goods cheaper for foreigners and thus boosting exports. It also effectively increased the money supply in terms of gold-backed securities which were now constrained by the markets for debt that the Federal Reserve controlled.

Open Market Operations and Interest Rate Reductions: The Fed engaged in open market operations by buying government securities. This action increased the banking system’s reserves and the overall money supply. Additionally, lowering interest rates made borrowing cheaper, encouraging spending and speculation (boom and bust cycles only exist in fiat currencies) which they renamed as ā€˜investment’.

Public Works and Government Spending: Alongside monetary policy, fiscal policy played a critical role. The government increased its spending on public works and social welfare programs under the New Deal. This not only created jobs but also increased cash flow in the economy, contributing to inflationary pressure. The Federal Reserve was dying a natural death in 1933, and was saved by extreme legislative support that turned all USA citizens into debt slaves until the system itself should (once again) be dying due to natural economic forces (we are there, now).

Continued: https://clifhigh.substack.com/p/nesaragesara-the-progress-report

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Revolut Leak Shows the Cost of Constant ID Collection
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an ā€œunauthorized third partyā€ reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

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Revolut notice explaining customer identity and financial data was shared after an unauthorized government email request.

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This means that even if you close your account, your identity documents don’t disappear.

And while the incident with Revolut happened in the financial sector, it’s by no means the only one that requires customers to hand over sensitive identity information. Discord, a popular chat service, said in an October 9, 2025 security update that government ID photos of approximately 70,000 users may have been exposed after a third-party customer service provider got hacked.

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It’s hard to do anything about a copy of your old passport, or a photo of your face, or a record of your past transactions. These can be used to identify and profile you, and can be used to carry out targeted fraud. And this can happen even if the initial disclosure didn’t result in financial loss.

The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.

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This Is The Income A Family Needs To Live Comfortably In Every US State

Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:

In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.

So… how much does a family of four need in your state?

This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.

The numbers come fromĀ SmartAssetĀ (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And asĀ Visual CapitalistĀ notes,Ā Massachusetts sits at the very top of that list.Ā Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

  • 1 - Massachusetts - $329,555
  • 2 - Hawaii - $313,165
  • 3 - California - $302,682
  • 4 - Connecticut - $298,189
  • 5 - New Jersey - $295,110
  • 6 - New York - $291,533
  • 7 - Colorado - $283,213
  • 8 - Washington - $281,798
  • 9 - Oregon - $280,966
  • 10 - Vermont - $280,384
  • 11 - Alaska - $272,064
  • 12 - New Hampshire - $267,904
  • 13 - Rhode Island - $264,659
  • 14 - Minnesota - $263,078
  • 15 - Maryland - $257,837
  • 16 - Maine - $250,931
  • 17 - Montana - $249,434
  • 18 - Pennsylvania - $247,936
  • 19 - Illinois - $244,109
  • 20 - Virginia - $242,944
  • 21 - Nevada - $242,278
  • 22 - Indiana - $241,696
  • 23 - Wisconsin - $238,451
  • 24 - Arizona - $236,870
  • 25 - Utah - $235,789
  • 26 - Delaware - $228,134
  • 27 - Ohio - $226,221
  • 28 - Idaho - $226,054
  • 29 - Florida - $223,392
  • 30 - New Mexico - $223,142
  • 31 - Nebraska - $223,059
  • 32 - Missouri - $217,734
  • 33 - Georgia - $214,573
  • 34 - Michigan - $214,323
  • 35 - South Carolina - $212,909
  • 36 - North Carolina - $212,410
  • 37 - Wyoming - $212,410
  • 38 - Oklahoma - $211,910
  • 39 - North Dakota - $210,496
  • 40 - Kansas - $207,917
  • 41 - Iowa - $204,422
  • 42 - Texas - $203,424
  • 43 - West Virginia - $202,592
  • 44 - South Dakota - $201,760
  • 45 - Alabama - $198,931
  • 46 - Louisiana - $197,933
  • 47 - Tennessee - $197,267
  • 48 - Arkansas - $195,437
  • 49 - Kentucky - $194,854
  • 50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having theĀ second-smallest populationĀ of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite theĀ wide range in living costsĀ across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky.Ā The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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šŸ¤–Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?šŸ¤–
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
Ā 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
Ā 
Now that AI is moving into the physical world, many are asking a bigger question:
Ā 
Will these same companies end up controlling robotics too?
Ā 
It's a valid concern.
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The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
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That movement is decentralized AI.
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Why Decentralized AI Exists
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The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
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This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
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Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
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Why This Matters for Robotics
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Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
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The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
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This is where decentralized systems become interesting.
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Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
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Imagine a future where:
  • Warehouse robots contribute operational data.
  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
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That vision is beginning to emerge.
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Bittensor's Move Toward Physical AI
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While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
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One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
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The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
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In other words, the pieces are starting to appear.
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Not a decentralized robot network yet.
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But the infrastructure that could support one.
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Beyond Bittensor: The Rise of Physical AI Networks
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Bittensor isn't alone.
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Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
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New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
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At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
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The goal is not simply decentralization for its own sake.
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The goal is resilience.
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If one server fails, the system continues.
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If one company disappears, the network survives.
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If one participant leaves, innovation continues.
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But Here's the Reality
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Decentralized AI faces the same challenge every decentralized technology faces.
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Big Tech has resources. A lot of resources.
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Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
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That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
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And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
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The challenge isn't just decentralizing intelligence.
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It's decentralizing intelligence while maintaining performance.
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That's much harder.
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The Most Likely Outcome
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The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
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Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
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At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
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The companies building robots may use NVIDIA hardware.
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Train on Azure.
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Run foundation models from OpenAI.
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But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
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The future of robotics could end up looking less like a monopoly and more like an ecosystem.
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The Bigger Question
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The real question isn't whether decentralized AI can eliminate Big Tech.
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It can't.
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At least not anytime soon.
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The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
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As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
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Because the battle for the future of robotics is no longer about hardware.
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It's about who owns the intelligence.
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And that battle is just getting started.
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