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MONEY POX – EXECUTIVE ORDER 14067 W/ ALAN JOHNSON

The CDC says monkey pox can spread through direct contact or by touching objects like money. If a pathogen could be passed during the exchange of physical currency, there would have to be some executive order or a law that would go into effect where cash would be worthless. Well, we may see this happen sometime in December of 2022 when Executive Order 14067 (Ensuring Responsible Development of Digital Assets) is supposed to go into effect. These Central Bank Digital Currencies will create a need for a ‘convenient’ cashless society indoctrination. Tonight on Ground Zero, Clyde Lewis talks with financial analyst, Alan Johnson about MONEY POX – EXECUTIVE ORDER 14067.

The CDC says monkey pox can spread through direct contact or by touching objects like money. If a pathogen could be passed during the exchange of physical currency, there would have to be some executive order or a law that would go into effect where cash would be worthless. Well, we may see this happen sometime in December of 2022 when Executive Order 14067 (Ensuring Responsible Development of Digital Assets) is supposed to go into effect. These Central Bank Digital Currencies will create a need for a ‘convenient’ cashless society indoctrination. Tonight on Ground Zero, Clyde Lewis talks with financial analyst, Alan Johnson about MONEY POX – EXECUTIVE ORDER 14067.

SHOW PODCAST:

8/11/22: MONEY POX – EXECUTIVE ORDER 14067 W/ ALAN JOHNSON

SHOW TRANSCRIPT:

I wondered exactly how long it would take before the paranoia of Monkey Pox would set in and how the authorities would claim that touching anything from thrift store clothing to cash money can spread the disease.

They say that it is low — but warn people about shopping, touching shopping carts that may be infected, buying products that may have been touched by someone, or even touching money that may have been handled by the infected.

This is not a panic situation yet — but if it ever became one it would certainly be one way of creating the cashless society and continue the scarcity agenda that they have implemented.

The CDC says monkeypox can spread through direct contact or by touching objects, fabrics, and surfaces used by someone who is infected. UNC Health Infectious Disease Expert Dr. David Wohl said that though that can occur, the risk is low.

In a statement- Whol said “I don’t think I would worry too much about these very casual encounters with inanimate objects. You’re not going to catch this at a restaurant. You’re not going to catch this off of a park bench. Trying on clothes I would say that’s pretty unlikely. You would have to have somebody, who right before you tried on clothes, who had lesions with monkeypox virus.”

Chances are low– but of course that hasn’t stopped the power elite from using disease as an excuse to implement another new normal where everything is suspected of carrying a virus,

Back in October of 2020, we reported the tabletop drill called Dark Winter where this very scenario was carried out in a mock gain of function exercise.

Dark Winter and Atlantic Storm were both aligned in predicting the release of a biological pathogen during a massive winter storm. The pathogen was spread on Black Friday during a major winter storm on the Atlantic Coast.

The pathogens spread was traced to the exchange of money and the contact that people had while shopping.

If a pathogen could be passed during the exchange of money, there would have to be some executive order or some law that would go into effect where cash would be worthless. It would certainly be revolutionary.

Well, we may see this happen sometime in December of 2022.

This is when Executive Order 14067 is supposed to go into effect.

Executive Order 14067, titled “Ensuring Responsible Development of Digital Assets,” includes developing policy plans and the organization of federal regulators. “Any future dollar payment system should be designed in a way that is consistent with United States priorities … and democratic values, including privacy protections, and that ensures the global financial system has appropriate transparency connectivity, and platform and architecture interoperability or transferability, as appropriate.”

The International Monetary Fund said in a blog released last month that the creation of Central Bank Digital Currencies must move forward quickly if they are wishing to implement their 2030 agenda.

I don’t know if Monkey Pox will pose a valid excuse to move on the executive order — but economists say that this is very dangerous and reckless move.

Jim Rickards, an economist, investor and former CIA official is calling it a step toward the end of cash, the greenback, in circulation since the founding fathers.

The new “digital tokens” can be “turned off” if the government doesn’t like what you are doing. Rickards has four decades of experience on Wall Street.

He also exposed the supposed singular event called C-Day, which according to him, will take place on Dec. 13, 2022, and will disrupt the traditional financial systems in the U.S.

C-Day is the day set aside to begun the process of creating Central Bank Digital Currencies and carrying out the Executive Order 14067.

Thanks to Section 4 of Biden’s Executive Order 14067, calling for urgent research into developing the digital dollar, We may see the U.S. dollar, the standard of the world since 1792 replaced by a new currency, the digital dollar.

Executive Order 14067 was signed by Joe Biden on March 09, 2022 in case you doubt its existence.

The order lays out a series of Cashless society policy statements, such as “we must protect consumers, investors, and businesses in the United States” and “we must support technological advances that promote responsible development and use of digital assets.”

Cash and money and your ability to hang on to untraceable assets is going to become more difficult.

Money is fundamental to an economy. How it comes into existence, how much of it there is in circulation relative to how much is required to clear the markets of goods and services, how interest rates are established and how money is taxed determine the winners and losers in an economy.

In the economy that we have created all money is debt. All debt must earn interest, otherwise it is not debt. This is because we have chosen to have a fractional reserve banking system and a central bank that uses its monopoly power to set interest rates without regard to market conditions.

Economic rent is the profit one earns by simply owning something. Banks especially central banks like the Federal Reserve extract economic rent from the monopolistic privilege of creating money from nothing. In this system it is a tautology that total savings equals total debt since savings and debt are the same thing.

From this we can infer that the total amount of money equals the total amount of savings equals the total amount of debt and the terms savings, debt and money are synonymous.

The US dollar that was declared as legal tender by government decree, with the symbol of the Eye of Providence watching over humanity began to circulate across the nation. Later, through the creation of the Federal Reserve in 1913, private corporations took the power to create money away from the government.

Central banks have become the overlord to remake the world according to its own image. Economists, with the idea of unlimited growth and the concept of gross domestic product (GDP), began their evangelism to promote a materialistic view of the world.

The pandemic was successful in doing severe economic damage that has triggered the breakdown of the system that signals a dire need for change. As the old system is getting dismantled and global leaders jump in to fix the problems.

In the globalized world, dependency on current systems is enforced almost universally. Ironically, the very recognition of our dependency was evident during COVID-19.

If the world is scared enough, they will do anything to save themselves – even give up their sovereignty their independence even their cash.

Have we figured out that we need to work on trying to make ourselves independent of the controllers and the way they manufacture scarcity?

Ours is a truly complex world — with interlocking systems of finance and debt, globalized supply chains for commodities and products, highly specialized social roles and professions, and multiple technologies that tightly interface with and depend upon one another. For people living in modern societies, there is virtually no escape from dependency — technology dependency, food dependency, oil dependency — you name it.

These systems limit our autonomy, our choices, our development, and our authentic engagement with others and the world.

So what is this dependency that is enforced upon us, and who is doing the enforcing?

Virtually all of us are heavily dependent on earning wages as a means to provide ourselves and our loved ones with what we need to live.

Debt also enforces subservience and dependence. Anyone who has struggled to service credit card debt or make a regular car or house payment knows this. When you’re in debt, your time is not your own. You must sell your time to a job – or some other method of getting cash or digits in your back ledger.

Debt is also the very currency of our economic system. The money that we struggle to earn comes into existence through debt. Commercial banks create money out of nothing when they credit the account of an individual or business with borrowed money.

Only a small portion of the lent money came to the bank through deposits. Without debt, money would not exist in its current form. And so, as we create the substance that sustains us in the globalized, industrial world, we simultaneously create the conditions for our own enslavement.

It’s important to understand, though, that money can be created in other ways besides through debt. That just isn’t done now in the current economic system. Having the power to create money out of nothing and the right to confiscate real property (collateral) in the case of a debt default gives banks an incredible amount of power in modern economies and societies.

This is why we have been warning time and again about the dangers of a cashless society, and money being kept form you for bad behavior– like speaking up against the government or some other infraction. There is always a possibility that your cashless digits could inly be spent on what the government wants or that it has to be spent within a certain time.

The point I am making is that most of us are almost entirely dependent on the money system for our very survival, and this dependence has proven to be extremely profitable for industries of all kinds.

But what would happen if one day we get the word that money may be transmitting a virus like Polio or Monkey Pox — then what?

How would you survive without some form of exchange– this is why at this time holding metal my a be a way to at least have something that can be converted to whatever currency the banks wish to recognize.

I believe learning to recognize enforced dependency as an organizing principle in the modern, globalized world is well worth it because this knowledge truly is power. And I think most of us would agree that we need the power to make big changes. Understanding enforced dependency is a powerful starting point for discussion about how the reset sells you on the idea of owning nothing and being happy.

This argument over recession and inflation continues to aggravate the great divide in our nation. It can all be traced to dependency.

The divide-and-conquer strategies of many leaders, strategies that divert our attention to casting blame on other victims of systemic problems instead of paying attention to the systemic problems themselves.

Knowing that forces beyond our control have left millions with very limited choices in attempting to better their lives provides fertile ground in which to cultivate empathy and solidarity rather than hatred and blame as we move through difficult times that promise to prove increasingly challenging.

In a truly globalized world like the one in which we live, there really is nowhere to run or hide that will allow us to escape all of the ravages of rapidly converging crises. And so, we must face each other. In crisis, will we face each other as enemies or as partners?

The global economy upon which most of us depend for our very survival isn’t sustainable. It’s proving to be less and less reliable in satisfying our needs, and the system is sure to become increasingly unstable as oil prices are unpredictable and inflation is out of control.

Now we have to realize that without the approval of Congress, the states, or the American people Biden signed into law Executive Order 14067.

This sets the stage for Legal government surveillance of all US citizens, total control over your bank accounts and purchases, and the ability to silence all dissenting voices for good.

So I guess we need to realize that before they come for your guns – they are going to come for your money. They will certainly have many excuses on tap to convince people to abide by this new order.

Call it a conspiracy theory all you want, but there is a very dark, heavy agenda at play.

It has all been a slow and very careful form of indoctrination. It has been a virus fear indoctrination & misplaced sense of responsibility… it has all connected to the climate fear indoctrination, manipulation & guilt-bashing and the accusations of denial which now creates a need for a ‘convenient’ cashless society indoctrination.

Look how they utilized our herd mentality against us. Knowing we’d rather lose our freedoms & integrity than our social status, our safety and our ability to buy sell or trade without the surveillance of the beast.

What a test run to see what they can get away with before we make a stand.

Hijacking our compassion and common sense with an endless stream of Trojan horses for us to jump all over whenever they flick the switch. Laughing at us whilst we literally cheer on our own demise, in our blind eagerness to ‘do the right thing.’

Oh believe me – cashing in those worthless dollars for equally worthless Central Bank Digital Currencies will be the right thing as long as someone as trustworthy as Bill gates sharpens his smile and says it is all for the best.

The gullible will be all to willing to enforce the new currency.

They’re bulldozing their way in because we’re letting them. Still trusting & obeying those we claim to despise & distrust.

Waiting. Ignoring. Denying. Pretending. Allowing. But never preparing, saving, investing, all because you are told it will all be okay.

It is the new ritual that precedes the Great Reset.

When they tell you that you will own nothing and be happy – just remember that the cheese in a mousetrap is never free.

https://groundzeromedia.org/8-11-22-money-pox-executive-order-14067-w-alan-johnson/

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This is great for Bittensor’s $Tao and whole subnet ecosystem. 🚀

BLACKROCK CEO LARRY FINK HINTED AT SOMETHING CRAZY.

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00:00:23
🚨 $200B ASSET MANAGER VANECK IS BUYING THE BITCOIN DIP! 📉➡️📈

VanEck just admitted to scooping up $BTC the first time it touched $60K! 🛒💰

Their direct advice to investors? 👇

“What I’ve been telling clients is that you wanna have your full position by October.” 🗓️⏳

The institutional accumulation is REAL. Are you ready for Q4? 🚀⚡️

00:02:35
Monygram 🤝 Solana

Amira Valliani on MoneyGram Ramps going live on Solana

"MoneyGram has 500,000 locations all over the world, one of the biggest networks for people moving money across borders"

"They've opened up that infrastructure for people building on Solana"

"If you're building a wallet or an application, you can tap into MoneyGram's API and make it easy for people to take cash in and get that onramped into a wallet"

"Or if you're in one of 170 countries, you can offramp and turn money that lives in a Solana wallet into local cash"

🌍 MoneyGram Ramps Are Live on Solana! ⚡️
500,000+ locations across 170 countries are opening up their global payments infrastructure directly to the $SOL ecosystem. 🏦📲

Here is why this is a major milestone for real-world adoption:

👉 Seamless On-Ramping: Developers can plug into MoneyGram’s API, allowing users to deposit physical cash right into their Solana wallets.

👉 Global Off-Ramping: Cash out digital assets from a Solana wallet into local currency anywhere ...

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🚨 Chutes is being framed as a Hyperliquid-style breakout for decentralized AI inference, with live revenue, verified GPU infrastructure, and a direct challenge to centralized cloud AI 🚨

Chutes is gaining attention as a decentralized AI inference platform that claims to combine real usage, cryptographic verification, confidential computing, and open-source infrastructure into a working production system. The thesis is simple: instead of trusting Big Tech clouds with AI workloads, users get a distributed compute layer built around verification and privacy.

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🔹 Chutes is live in production and reportedly scaled to more than 1,170 active GPU nodes, including large numbers of Nvidia H200s and Blackwell-class hardware.

🔹 The platform says it has processed nearly 38 trillion tokens since launch across 53 deployed applications and more than 700,000 registered users.

🔹 The team reportedly cut unprofitable usage programs, reduced total token volume, and still improved revenue efficiency, with revenue per GPU rising sharply after removing subsidized traffic.

🔹 Chutes is using post-quantum cryptography, trusted execution environments, and Nvidia confidential ...

🚨 Chutes is being framed as a Hyperliquid-style breakout for decentralized AI inference, with live revenue, verified GPU infrastructure, and a direct challenge to centralized cloud AI 🚨
🚨 JPMorgan’s criticism of the CLARITY Act is fueling a fresh power struggle over who gets to write America’s crypto rules 🚨

A new clash is emerging between legacy finance and crypto legislation after JPMorgan CEO Jamie Dimon reportedly warned that the CLARITY Act could let crypto firms offer bank-like products without bank-level oversight. The dispute is quickly turning into a larger fight over regulation, competitiveness, and who controls the future architecture of digital finance in the United States.

🔑 Key points

🔹 Jamie Dimon reportedly called the CLARITY Act a threat to the financial system, arguing it could allow crypto firms to offer yield-like products while avoiding the capital, reserve, and oversight burdens traditional banks face.

🔹 Senator Cynthia Lummis pushed back publicly, framing the issue as a global strategic race and warning that if the U.S. does not set digital asset standards, other powers will.

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👉 Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? 🔜

The future of Crypto x AI is about to go crazy.

👉 Here’s what you need to know:

💠 'Based Agent' enables creation of custom AI agents
💠 Users set up personalized agents in < 3 minutes
💠 Equipped w/ crypto wallet and on-chain functions
💠 Capable of completing trades, swaps, and staking
💠 Integrates with Coinbase’s SDK, OpenAI, & Replit

👉 What this means for the future of Crypto:

1. Open Access: Democratized access to advanced trading
2. Automated Txns: Complex trades + streamlined on-chain activity
3. AI Dominance: Est ~80% of crypto 👉txns done by AI agents by 2025

🚨 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.

👉 Coinbase just launched an AI agent for Crypto Trading

🧬 Minos (SN107) targets a potential unicorn opportunity in synthetic genomics data 🧬

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⚠️ Congress Just Released The Precious Metals Act ⚠️

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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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Navigating the world of blockchain 🧭
Navigating the world of blockchain can feel like learning a completely foreign language. Between technical jargon and fast-moving Web3 terminology, getting started can be overwhelming.

Whether you are exploring digital assets, building on-chain, or simply trying to understand decentralized technology, here is your foundational glossary of essential blockchain terms every beginner should know.

🏛️ 1. Core Architecture: The Base Layer

  • Blockchain: A distributed, immutable digital ledger that records transactions across a peer-to-peer network of computers. Once data is written to a block and added to the chain, it cannot be altered without altering all subsequent blocks.
  • Block: A collection of verified transactions grouped together. Once filled, the block is cryptographically linked to the previous one, forming a chronological "chain."
  • Node: An individual computer connected to a blockchain network that helps validate transactions, store ledger data, and maintain network consensus.
  • Consensus Mechanism: The set of rules and algorithms that network nodes use to agree on the validity of transactions.

    • Proof of Work (PoW): Requires miners to solve complex mathematical puzzles using computational power (e.g., Bitcoin).
    • Proof of Stake (PoS): Requires validators to lock up ("stake") native tokens as collateral to participate in block validation (e.g., Ethereum).

🔑 2. Ownership & Security: Wallets and Keys

  • Public Key (Address): An alphanumeric string that acts like your bank account number or email address. It is safe to share publicly so others can send you digital assets.
  • Private Key: A secret cryptographic passphrase or key that grants full access and control over your wallet assets. Never share your private key or seed phrase with anyone.
  • Seed Phrase (Recovery Phrase): A sequence of 12 to 24 random words generated when you set up a wallet. It acts as the master backup key to restore your wallet and access your funds on any device.
  • Hot Wallet vs. Cold Wallet:

    • Hot Wallet: A software-based crypto wallet connected to the internet (e.g., browser extensions, mobile apps), making it convenient for frequent transactions but higher risk.
    • Cold Wallet: An offline hardware device (e.g., Ledger, Coldcard) designed to isolate private keys from internet-connected threats.

⚙️ 3. Execution & Functionality: Smart Contracts and Apps

  • Smart Contract: Self-executing code stored on a blockchain that automatically enforces agreement terms once predetermined conditions are met—eliminating the need for intermediaries.
  • dApp (Decentralized Application): Applications built on top of a blockchain network that run via smart contracts rather than centralized cloud servers.
  • Gas Fees: Network transaction fees paid to validators or miners to cover the computational energy required to process actions on a blockchain.
  • Layer 1 vs. Layer 2:

    • Layer 1 (L1): The underlying primary blockchain network (e.g., Bitcoin, Ethereum, Solana) that handles base security and finality.
    • Layer 2 (L2): Secondary frameworks or companion networks built on top of an L1 to increase transaction speeds and lower gas fees (e.g., Arbitrum, Optimism, Base).

💰 4. Financial & Market Concepts

  • Tokenomics: The economic design, supply dynamics, utility, and distribution model of a cryptocurrency or token project.
  • DeFi (Decentralized Finance): Financial services—such as lending, borrowing, trading, and earning interest—built on smart contracts without traditional banks or financial intermediaries.
  • Liquidity: The ease with which an asset can be bought or sold in a market without significantly impacting its price.
  • DYOR (Do Your Own Research): A foundational golden rule in the Web3 space reminding users to independently verify technical code, whitepapers, and team backgrounds before making any capital commitments.

💡 Quick Cheat Sheet

"Not your keys, not your coins."

If you do not hold the private keys or seed phrase to your digital wallet, you do not truly own the assets inside it—a centralized entity or exchange does. Always prioritize security first as you explore the space.

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AI Is Coming for Your Job Title

Artificial intelligence may or may not take your job, but it has already broken into the human resources department and vandalized the org chart.

The evidence is all over LinkedIn, where perfectly serviceable occupations now arrive wearing titles such as “forward-deployed and agentic AI architect.” That person may be building sophisticated software. They may also be helping a chatbot remember what happened three prompts ago. Either way, somebody approved the business cards.

The expanding AI lexicon offers a useful counterpoint to the darker debate about technology and employment. Most discussion centers on how many jobs AI will eliminate. Hiring data presents a more complicated picture that includes a weak overall labor market containing a small but rapidly growing neighborhood of AI-related work.

Indeed Hiring Lab found that the number of postings on Indeed mentioning AI surged 134% from its February 2020 level by the end of 2025, even as total postings stood only 6% above that benchmark. AI appeared in a record 4.2% of Indeed postings in December.

AI, in other words, is not merely changing work. It is adding syllables to it.

The Titles Employers Actually Want

The undisputed champion is AI engineer, which ranked No. 1 on LinkedIn’s 2026 Jobs on the Rise list. The ranking, based on growth during the previous three years, also highlighted AI consultants and strategists, AI and machine-learning researchers and data annotators.

The title is popular partly because it is wonderfully accommodating. An AI engineer might build applications around large language models, connect corporate data to an AI system, improve model performance or spend Thursday afternoon persuading a customer service bot not to offer refunds for products the company doesn’t sell.

Indeed’s data showed the terminology spreading beyond Silicon Valley. Nearly 45% of data and analytics postings contained an AI-related term at the end of 2025, along with roughly 15% of marketing postings and 9% of human resources listings. A more recent Indeed analysis reported by Business Insider found that the number of frequently advertised job titles explicitly referencing AI rose from 264 in 2022 to 822 in the first quarter of 2026. Nearly two-thirds were outside traditional technology fields.

That produces titles such as AI marketing manager, AI learning specialist, responsible AI counsel and AI transformation lead. These are not always new occupations. Frequently, they are familiar jobs that have discovered a highly effective résumé keyword.

LinkedIn data cited by the World Economic Forum estimated that AI investment has supported 1.3 million positions, including AI engineers, data annotators and forward-deployed engineers, plus more than 600,000 AI-enabled data center jobs. The server racks, unlike the chatbots, still need electricians.

The Jobs With the Science-Fiction Salaries

At the upper end, AI has created a compensation market that resembles professional sports, except the competitors wear hoodies and discuss inference latency.

Syracuse University review put chief AI officer compensation between $200,000 and more than $500,000, while specialized roles can exceed $400,000 after bonuses and equity. Frontier research engineers, AI infrastructure specialists and engineers who can train or deploy advanced models command some of the largest packages.

Then there is the forward-deployed engineer, an old Palantir title that the AI boom has placed on a rocket sled. These engineers embed with customers, translating an executive’s desire to “do something with AI” into software that works. The Next Web reported that Indeed postings for the role were about 19 times higher in January than a year earlier.

CTO guide from the blog Signal Through the Noise placed forward-deployed engineer compensation between $238,000 and $700,000, research-engineering packages as high as $1.4 million and chief AI officer compensation above $1 million in some cases. It also made a less flattering observation: Many lavishly differentiated titles describe the same three basic functions. People build AI products, train models or keep the infrastructure from catching fire.

The Department of Unnecessary Titles

AI has created some genuinely new work. Evals engineers design tests to determine whether models perform reliably. AI red teamers try to make systems fail before customers do. Model behavior engineers study why an AI system responds as it does. AI governance leaders manage risks involving data, bias, security and regulation.

Other titles seem to have escaped from a brainstorming retreat.

There is the Claude Evangelist, whose mission apparently combines product education with the traditional duties of an apostle. There are vibe coders, who build software by describing what they want and accepting AI-generated code with varying degrees of supervision. “Vibe engineer” is the more respectable version, roughly equivalent to putting on a blazer before asking the machine to fix the login page.

“Context engineer” is a real discipline involving the data, instructions, memory and tools supplied to AI models. “Prompt engineer,” once advertised as a possible six-figure profession for gifted chatbot whisperers, is increasingly treated as one skill inside a broader AI role.

The CTO guide also identified “builder,” “AI-native developer,” “RAG engineer,” “agentic AI engineer” and “principal agentic GenAI forward-deployed context architect,” the last of which appears to require both technical proficiency and exceptional lung capacity.

Has AI created entirely new jobs? Absolutely. Some occupations, including AI safety, evaluation and model governance, exist because modern generative systems introduced new technical and business problems. However, many job titles are old jobs with fresh vocabulary, higher salary bands and a sudden aversion to the words “software developer.”

That may be the safest prediction about AI and employment. The machines will automate some tasks, generate others and force companies to rethink the division of labor. Before any of that is settled, however, corporate America will form a steering committee, appoint a chief agentic transformation evangelist and schedule a meeting to determine what that person does.

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