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💥‘Expiring Money’ Will Define the Last Days of the US Dollar💥
December 04, 2022
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You may have never heard the term ‘expiring money’. Expiring money is basically money that comes with an expiration date. In other words, on a certain date in the future, it’s value will fall to zero.

According to the World Bank Blog (Part 1 and Part 2), expiring money is programmable money. It can transfer ownership, transfer value and be redeemable at a maturity date.

In ‘Expiring Money (Part 1)’ the authors Bossone and Faragallah expound on a few more of the applications of this utility:

…’Programmable money could eventually allow for far-reaching scenarios where the government limits access to scarce resources, applying dynamic fees on the use of, say, electricity or tolled roads, based on their usage or carbon emission measurements, and attaching pay-per-use systems to houses and cars, as discussed by Casey (2020).’…

One could also envision the powers that be using this technology to limit availability to buy food or to shut out certain persons from buying food altogether. After seeing people lose livelihoods because they refused to take the jab, it is not hyperbole to assume that access to food could be modified because an individual didn’t agree with the unilateral authoritarian control directive that would be enforced through an expiring monetary ‘smart contract’.

Use your imagination. From toll roads to electricity to housing availability, there is almost no end to the restrictions that a totalitarian authority could place on its populace through the application of ‘expiring money’.

The authors of the aforementioned World Bank Blog have said as much:

…’This could be very useful for central banks and governments distributing aid to people during severe recessions or events like pandemics or calamities, when higher uncertainty makes people spend less.’…

When economic and geo-political situations become insecure for the average person, they reduce their spending and save more because they are less assured of what tomorrow brings.

Author Mike Maloney has described this as an end game scenario of a dollar collapse in Episode 7 of his hit video series ‘The Hidden Secrets of Money’. Please consider watching the 1/2 hour video. For a synopsis of this concept you may watch minutes 22 to 28:30 in the video.

When the economy is unstable and the currency is weakening, the average person reduces their spending, even in the face of tax cuts and other policies that would put money in their pocket. They basically hold onto more of their money for longer (i.e. under the mattress). It is then that Uncle Sam will have to resort to drastic measures known as ‘helicopter money’ to print and give the populace enough money to get them to spend it in order to stimulate economic activity by increasing the velocity of money.

When he released Episode 7 of his video series 6 years ago, Mike Maloney composed a masterful look at how the endgame of the destruction of the greenback will play out. There is however one issue that not even Mr. Maloney considered. That is the potential for the additional weaponization of the currency through the use of ‘expiring money’.

Of course, money with an expiration date will be sure to help achieve the goal of the acceleration of the turnover of money in the economy. That is what the money printers objective will be. After all, who will let their money go to a value of zero when they can at least buy a bobble or a radish with it? The use of the ‘expiring money’ will at least temporarily stabilize the currency to some degree. But only for a while. Before too long, everyone will realize that the money is literally worth nothing. Then they will spend all of the ‘expiring money’ as soon as it is received which will cause a hyperinflationary spiral of prices higher to levels that people will not be able to comprehend. Then, even the ‘expiring money’ will be worthless.

At that point they will concede that the game is over and the country will have to issue a currency based on something that is real. Something of value. A currency based on commodities that have real utility in the life of a person who must operate in a real world.

Unfortunately for the money printers in the US and the bloggers at the World Bank, someone is creating a currency based on commodities (like gold) that have value. They are called the BRICS (Brazil, Russia, India, China and South Africa) nations. It is not something that is coming in the future. It is something that is happening now.

Gold is the Nemesis of the PetroDollar.

The PetroDollar gets its name from Saudi Arabia (SA) agreeing to sell oil to the world denominated only in US Dollars and in return, SA received military protection from the US. After the messy exit of the US from Afghanistan in 2021 that deal basically came to a close.

In a recent post by Dr. Stephen Leeb, Ph.D. He opined about the importance of Xi’s trip to Saudi Arabia in the context of the rise of a new world reserve currency:

…’Honestly, I’ll be very frank with you. I thought gold was going to definitely break $1600 and go somewhere into the $1500s but it stopped when there was more news that Xi Jinping was going to visit Saudi Arabia. This really made it much more apparent that something was up. The key to the petrodollar country, like all the other Arab countries, is gold. Xi Jinping making a trip there would undoubtedly seal the deal of a potential BRICS alliance. If that’s the case, then the beginning of the end of the petrodollar is upon us… And a new BRICS gold backed reserve currency will rise like a phoenix from the ashes.’…

So it is now evident that the US Dollar is going to have a big chunk taken out of its monetary a$$. What does that mean for Americans?

You may have worked for 30-50 years squirreling away all of your savings in dollar denominated assets. When the US dollar starts to capitulate and capsize what will happen to the value and purchasing power of those same dollar denominated assets? When the BRICS nations roll out a gold-linked or a gold-backed world reserve currency, who will want dollar denominated assets?

When there are no international buyers for US debt (Treasuries), what will happen to the price of dollar denominated assets? When you pinch and hold onto every penny that you can get your hands on and you see your financial future sliding into the abyss, then the money printers will issue you your stipend of ‘expiring money’ to grease the wheels of the economy. Then after they spend their new and soon to be worthless money, Joe and Jolene Six Pack will realize that those dollar denominated assets now cannot support their ability to pay the bills and the whole system grinds to a halt.

Then the money printers will have no other alternative but to turn to an asset (i.e. gold/precious metals/commodity) backed currency like their competitor, the BRICS, has already done.

Of course, the BRICS nations will be light years ahead and thriving in the light of prosperity and relatively even weights and measures so even the emerging market economies in the BRICS are thriving. By the way, the price of gold and other precious metals will likely be light years ahead of where they are now as well.

Meanwhile, the average American will be financially devastated and will never recover. If only they would have seen the light and invested even a relatively small amount of their assets into precious metals they might have retained their purchasing power and would be able to carry on (this is not financial advice-consult a financial professional).

When the helicopters arrive in your neighborhood and start dropping ‘expiring money’ relief packages like so many MRE’s and chocolate bars over a war torn landscape, the opportunity to change the fortunes for you and your family have expired like the ‘expiring money’ that just hit the ground in front of you.

You could have bought some gold.

You could have bought some silver.

But instead you bought the line from the mainstream media. The ones who tell you the the economy is great and so is the job market. The same ones that told you that the jab was safe and effective.

Will you wait until the US Dollar comes to be known as ‘Expiring Money’ or will you wise up like the BRICS nations and base your financial future on precious metals that never expire (again, this is not financial advice)?

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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 “unauthorized third party” 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.

Revolut claims that derived biometric face data was not.

The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency.

The email passed several authentication checks (SPF, DKIM, and DMARC) that are designed to establish the authenticity of a message’s origin and integrity, but do not verify the legitimacy of the legal request itself.

Revolut said that it complied with the request “under the reasonable belief that it was an authentic government agency request” – and only later found out that it was not.

Revolut said it later realized its mistake, blocked the email address, and reported the incident to the relevant authorities.

Revolut said that only a “limited” number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen.

The story broke on September 11 when Revolut customers started receiving an email notice about a data leak, and the news was picked up by media outlets the following day.

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

The reason this is a recurring problem is that companies are keeping highly sensitive information about their customers’ identities, and sometimes even financial transactions, for a long time, and this data is then available to be disclosed to third parties – either in response to valid legal requests, or, as in the case of Revolut, fake ones.

One reason for this is know your customer (KYC) and anti-money laundering (AML) rules. Revolut’s current UK customer privacy notice spells it out: the company generally keeps personal data of UK customers for no more than seven years after the relationship ends, and sometimes longer – for legal reasons.

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.

This was not a financial service, nor the same type of attack. But the result was similar – because the underlying business process was the same: requiring and storing sensitive identity documents. In the case of Discord, these were used to review age-related appeals.

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 from SmartAsset (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 as Visual Capitalist notesMassachusetts sits at the very top of that list. 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 the second-smallest population 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 the wide range in living costs 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. 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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🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
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.
 
Now that AI is moving into the physical world, many are asking a bigger question:
 
Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
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.
 
That movement is decentralized AI.
 
Why Decentralized AI Exists
 
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.
 
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.
 
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.
 
Why This Matters for Robotics
 
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.
 
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.
 
This is where decentralized systems become interesting.
 
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.
 
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.
 
That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
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.
 
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.
 
In other words, the pieces are starting to appear.
 
Not a decentralized robot network yet.
 
But the infrastructure that could support one.
 
Beyond Bittensor: The Rise of Physical AI Networks
 
Bittensor isn't alone.
 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
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.
 
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.
 
The goal is not simply decentralization for its own sake.
 
The goal is resilience.
 
If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
But Here's the Reality
 
Decentralized AI faces the same challenge every decentralized technology faces.
 
Big Tech has resources. A lot of resources.
 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
 
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.
 
The challenge isn't just decentralizing intelligence.
 
It's decentralizing intelligence while maintaining performance.
 
That's much harder.
 
The Most Likely Outcome
 
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.
 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
 
The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
 
The Bigger Question
 
The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
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.
 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
 
Because the battle for the future of robotics is no longer about hardware.
 
It's about who owns the intelligence.
 
And that battle is just getting started.
 
 

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