TheDinarian
News • Business • Investing & Finance
💥Coreum’s Mainnet Launch Date, New Airdrop and Upcoming Plans for Q1 2023💥
a new round of community airdrops for the CORE, SOLO and XRP holders
December 22, 2022
post photo preview

In this blog post, Coreum developers reveal the mainnet launch date of Coreum Layer-1 Blockchain and details on a new round of community airdrops for the CORE, SOLO and XRP holders.

Since its announcement in Dec 2021, Coreum Blockchain has gained tremendous global attention by introducing a new standard for enterprise use cases, such as ISO20022 compliance and Smart Tokens. Learn more about Coreum technologies here.

Coreum’s open-source project is 100% community-owned and is built by developers with a passion for making a more advanced, secure and fast blockchain for any size of the enterprise.

Mainnet Launch, Staking, Partnerships and VC Fundraising Round

Mainnet Launch Date: The highly anticipated mainnet launch of the Coreum Blockchain will take place on the 24th of March 2023 at around 04:00 AM UTC.

Staking: Once the mainnet is live, participants will have a unique opportunity to start staking their CORE tokens on the Coreum Blockchain. It’s forecasted the early stakers benefit from APRs as high as 40% initially while the total supply is moving from XRPL to Coreum blockchain.

Partnerships and Exchange Listings: The Growth and Partnership teams at Coreum have been working hard behind the scenes to bring more value to the Coreum ecosystem. Right after the mainnet launch, we will announce many exciting partnerships like various institutional validators, wallet integrations and Tier-1 exchange listings.

VC Fundraising: Since its inception, the Core team’s principle was to develop an open-source technology that is 100% community based without public token sale (IEO, ICO or IDO), which has traditionally been a common practice among most blockchain projects. Coreum will launch its first fundraising round in Q1 2023 for reputable VCs and Institutional accredited investors.

CORE and xCORE Airdrops

Coreum has been a 100% community-based project and will always remain the same. Community and technology are the main backbones of any blockchain project, and the success and future adoption of its technology depend directly on both factors. Within the past 18 months, we’ve been working around the clock on the research and development of Coreum technology. As we’re getting closer to the mainnet launch, it’s a suitable time to expand the Coreum community, increase its reach within the crypto space and make the ecosystem truly decentralized by airdropping the majority of the supply to the community.

To engage more crypto communities to participate in the Coreum ecosystem, the Core Team has decided to unlock and conduct an airdrop of 100,000,000 CORE tokens to the CORE holders and 50M xCORE token (Option Tokens with a Strike Option Price of $10) to both SOLO and XRP holders.

What’s the Airdrop Ratio of CORE and xCORE?

A total of 100,000,000 CORE tokens will be distributed to those accounts that hold CORE, and a total of 50,000,000 xCORE tokens will be distributed to the wallets that hold SOLO and/or XRP at the time of the snapshot.

The following ratio will be applied to the distribution:

CORE holders*: 100% of the total CORE Airdrop amount (100M CORE tokens)

*Please note that a TrustLine to the Coreum Gateway must be in place for the account to be eligible for the airdrop.

XRP holders*: 50% of the total xCORE airdrop amount (25M xCORE tokens)

SOLO holders*: 50% of the total xCORE airdrop amount (25M xCORE tokens)

*Please note that a TrustLine to the xCORE Gateway must be in place for the account to be eligible for the airdrop.

The Airdrop amount, snapshot and distribution schedule

Example For CORE Airdrop Ratio Calculation: Let’s assume the final amount of CORE, which is qualified for the CORE airdrop at the time of the snapshot, is as follows:

CORE: 50,000,000

Then the number of CORE Airdrops for the holders of the CORE will be calculated and deposited as below:

CORE Holders Ratio:

100,000,000 ÷ 50,000,000 = 2 CORE* per each CORE Holding

(Total CORE Airdrop Amount) ÷ (Total Participation amount) = CORE Airdrop Ratio

*The final ratio calculation of the CORE airdrop is subject to the total number of CORE holdings participating in the airdrop. It will be calculated and announced officially post-snapshot date.

Example For xCORE Airdrop Ratio Calculation: Let’s assume the final amount of SOLO and/or XRP, which are qualified for the xCORE airdrop at the time of the snapshot, are as follows:

SOLO: 100,000,000

XRP: 1,000,000,000

Then the number of CORE Airdrops for the holders of the CORE will be calculated and deposited as below:

SOLO Holders Ratio:

(50,000,000 ÷ 2) ÷ 100,000,000 = 0.25 xCORE* per each SOLO Holding

(50% of Total xCORE Airdrop Amount) ÷ (Total Participation amount) = xCORE Airdrop Ratio

XRP Holders Ratio:

(50,000,000 ÷ 2) ÷ 1,000,000,000 = 0.025 xCORE* per each XRP Holding

(50% of Total xCORE Airdrop Amount) ÷ (Total Participation amount) = xCORE Airdrop Ratio

*The final ratio calculation of the xCORE airdrop is subject to the total number of XRP and/or SOLO holdings participating in the airdrop. It will be calculated and announced officially post-snapshot date.

What’s xCORE? How does the Redemption work?

To further incentivize the community and avoid immediate pressure on the CORE market after the airdrop distribution, the Core team is issuing 50M xCORE tokens (at a value of $500M USD) to be airdropped exclusively to the SOLO and XRP communities.

xCORE is an Option Token that can be exchanged for CORE tokens if the CORE price reaches and stays above $10.00 for 240 consecutive hours (10 days) or expires on March 24th, 2025, 04:00 AM UTC.

After its expiry, regardless of the price, holders of xCORE are eligible to exchange 1:1* to CORE tokens via a smart contract on the Coreum Blockchain.

*1 xCORE is always fully backed by 1 CORE and held in a smart contract on the Coreum Blockchain until redemption takes place. xCORE is interoperable with XRPL and Coreum Blockchain and can be bridged for redemption.

In a nutshell, if you hold XRP or SOLO at the time of the snapshot, you will receive* xCORE tokens, which can be exchanged for CORE tokens, given the price of CORE goes above $10. If it does not, you will receive 1 CORE regardless of the price after 2 years.

*To receive the xCORE token, you must issue a TrustLine to the xCORE gateway mentioned in this article. Scroll down to the end of this article and learn how to set up your Trustline.

Type: Token Option

Symbol: XCORE

Strike Price: $10 USD — Remains above the strike price for 240 hours (10 days)

Expiry: March 24th, 2025 04:00 AM UTC

Backed by: CORE (1 XCORE = 1 CORE)

XRPL Issuing Address: r3dVizzUAS3U29WKaaSALqkieytA2LCoRe

Coreum Smart Contract Redemption Address: TBA after mainnet launch

When will the Snapshot be taken?

Snapshot Date/Time: March 24th, 2023, 04:00 AM UTC.

When will the CORE and xCORE Airdrops be Distributed?

CORE airdrop distribution to the CORE holders will take place in 4 equal instalments with 60 days buffer time in-betweens, and the xCORE will be distributed in one instalment to the XRP and/or SOLO holders as follows:

CORE Distribution (For CORE Holders)

Distribution 1: 1st Apr 2023

Distribution 2: 1st Jun 2023

Distribution 3: 1st Aug 2023

Distribution 4: 1st Nov 2023

xCORE Distribution (For XRP and/or SOLO Holders)

The xCORE airdrop distribution to the SOLO and XRP holders will take place on 15th May 2023.

Why is the SOLO community included in this Airdrop?

The Coreum idea was developed by the Sologenic development foundation and backed by the SOLO community. It’s time to make the bond between both SOLO and CORE communities even stronger than before.

The Sologenic team never stops!

We continue to develop new use cases and innovative ideas within the Sologenic ecosystem on both XRP Ledger and Coreum Blockchain. The most compelling use case is the tokenized assets trading platform which is planned to go live as a pilot program in specific jurisdictions in 2023.

Sologenic will also integrate with the Coreum networks so users can hold and trade fungible and non-fungible assets on both Coreum and XRP Ledger. In Q1 2023, SOLO Cards and Sologenic IDO launchpad will also go live.

Why is the XRP community included in this Airdrop?

Coreum was built out of a necessity by the Sologenic Tokenization Platform, and the XRPL has been a key to this journey. The XRP Ledger inspired many aspects of the Coreum Blockchain, and we would like to keep the two blockchains side-by-side that complete one another and remain interoperable.

For this reason, the first asset other than IBC-based assets that will be bridged to the Coreum Blockchain is the XRP and other tokenized assets on the XRPL.

This interoperability allows these assets to fully utilize the power of the Coreum Blockchain and create more use cases by using Smart Contracts and Smart Tokens. In addition, by design, these assets will flow into the Cosmos-based chains through IBC.

This will unlock many new opportunities for XRP, such as DeFi and innovative smart contracts-based d’Apps.

What wallets will be excluded?

All the wallets belonging to the foundation and teams at Coreum and Sologenic will be excluded from the airdrop, and any exchange or custodial company’s wallets will not release an official announcement to support the airdrop to their users. The team at Coreum would like to ensure the airdrop will go directly to the communities.

What’s next for COREUM?

The Core development team is constantly working on adding more features to the Coreum blockchain as well as monitoring and securing the network. After the mainnet launch, the team will focus on expanding the functionalities of Smart Tokens by adding more native features and support for different use cases. In the second development phase, the Core team will start developing the built-in full order-book DEX on the Coruem Blockchain. This allows all issued smart tokens on the chain to be seamlessly traded.

In addition, Coreum is anticipated to become the “Hub” for blockchain developers, allowing tokens to be issued on Coreum and flow through the Inter-Blockchain Communication Protocol (IBC) supported chains.

How to set up Trustlines?

CORE Holders

If you hold your CORE tokens on decentralized wallets like SOLO DEX and XUMM and you wish to participate in the CORE Airdrop, you can learn how to establish a trustline with Coreum gateway on the XRP Ledger here.

If you hold your CORE holdings on a centralized exchange, you need to contact your exchange to ensure they will support this Airdrop.

XRP and/or SOLO Holders

If you hold your SOLO and/or XRP tokens on decentralized wallets like SOLO DEX and XUMM and you wish to participate in the xCORE Airdrop, you should establish a trustline with xCORE gateway on the XRP LedgerYou can watch this example video here and change the parameters with the followings specs:

xCORE Gateway (Issuer): r3dVizzUAS3U29WKaaSALqkieytA2LCoRe

xCORE Currency Code: 58434F5245000000000000000000000000000000

Limit: 50,000,000

If you hold your XRP and/or SOLO holdings on a centralized exchange, you need to contact your exchange to make sure they will support this Airdrop for the XRP and/or SOLO holders on their exchange.

IMPORTANT NOTE: MAKE SURE TO SET UP YOUR TRUSTLINE WITH THE CORE AND/OR XCORE GATEWAYS BEFORE THE SNAPSHOT DATE AND TIME OF 24TH MARCH 2023, 4:00 PM UTC.

Link

community logo
Join the TheDinarian Community
To read more articles like this, sign up and join my community today
0
What else you may like…
Videos
Podcasts
Posts
Articles
🤖 AI Won't Destroy Jobs—It Will Create a Labor Shortage! 📉

While most headlines focus on AI-driven displacement, Groq Founder and CEO Jonathan Ross offers a fascinating, contrarian perspective. He argues that instead of mass unemployment, we are heading toward a massive labor shortage driven by three tectonic shifts:

1. Massive Deflationary Pressure: Efficiency gains from automated farming, robotics, and streamlined supply chains will drive down the cost of everyday essentials—from coffee to housing—meaning people will ultimately need less money to thrive. ☕️🏠

2. The Great Economic Opt-Out: As living costs drop and productivity skyrockets, humans will choose to work fewer hours, fewer days a week, and retire much earlier because their lifestyles will be easier to support. ⏳🌴

3. Unimaginable New Industries: Just as agriculture dropped from 98% of the US workforce a century ago to just 2%—paving the way for entirely new careers like software development and content creation—tomorrow's jobs are literally ...

00:02:00
🔵 The most important shape nobody talks about 🔵

Heinz Hopf discovered this in 1931. Roger Penrose called it "an element of the architecture of our world.' Eric Weinstein brought it up on Joe Rogan - and the silence in the room said everything.
The Hopf fibration maps a 4D hypersphere onto a regular sphere using circles that never intersect but each links through every other exactly once. It shows up in at least 8 areas of physics - including the Bloch sphere geometry that every qubit in a quantum computer lives on.

00:09:42
🌐 Institutional Access Meets Dcentralized AI! 🤖📈

The bridge between traditional capital markets and the decentralized AI economy is expanding. Through investment vehicles like the Grayscale Bittensor Trust ($GTAO), traditional market participants gain regulated exposure to the native asset powering decentralized machine learning.

No wallet setups, no complex custody hurdles—just direct tracking of the infrastructure driving open-source intelligence.👇

00:05:18
🚨 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.

🔑 Key points

🔹 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.

🔹 The core tension is whether the bill creates legitimate regulatory clarity or simply opens the door to regulatory arbitrage for crypto platforms operating outside the traditional banking...

🚨 JPMorgan’s criticism of the CLARITY Act is fueling a fresh power struggle over who gets to write America’s crypto rules 🚨
👉 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

🚀 ZEC reaches an eight-year high as analysts ask whether TAO could be next 🚀

Zcash has surged to approximately $856, reaching its highest level in eight years and reviving interest in older crypto assets with strong narratives, limited supply, and renewed market demand.

🔑 Key points

🔹 ZEC broke higher: The token’s move to approximately $856 represents a major recovery from its multi-year lows.

🔹 Privacy is back in focus: Renewed concerns around surveillance, financial censorship, and transaction privacy have strengthened interest in privacy-focused assets.

🔹 Limited supply supports the narrative: Zcash’s capped supply gives traders a scarcity-based investment thesis similar to Bitcoin.

🔹 Momentum is attracting attention: Large price increases can draw new capital, increase liquidity, and create a self-reinforcing cycle.

🔹 TAO is being compared with ZEC: Bittensor’s token could benefit from a similar rotation if the market begins rewarding decentralized AI infrastructure.

🔹 TAO ...

🚀NVIDIA dropped one of the most interesting vision language models 🤖

🚀NVIDIA dropped one of the most interesting vision language models, it's called LocateAnything (3B parameters)
Most models generate bounding boxes token by token, basically typing out the coordinates one at a time.

LocateAnything predicts the whole box at once.

⁃ One pass. Four coordinates. Done.
It's a simple idea, but the speed difference is impressive.

On a single H100, NVIDIA reports 12.7 boxes/sec, compared with 5.0 for Rex-Omni and 1.1 for Qwen3-VL in their setup.

And it doesn't give up localization quality to get there. It performs strongly across dense scenes, GUIs, OCR and document layouts.

One thing I liked is that it doesn't force everything through parallel decoding. That's the default, but it can fal back to autoregressive decoding when the case gets ambiguous or the output becomes irregular.

I've been working in computer vision for 5+ years, and localization is one of those problems that looks easy until you actually have to make it fast and reliable
It does make vou wonder why ...

post photo preview

🔄 Vocence pivots to UMI as its alpha token surges 250% in one week 🔄

Vocence has reportedly shifted its subnet strategy toward UMI, triggering a sharp rise in its alpha token. The move shows how quickly capital can rotate when a Bittensor project changes its narrative.

🔑 Key points

🔹 Major strategic pivot: Vocence moved away from its previous direction and began positioning around UMI.

🔹 Alpha token surged 250%: The token reportedly delivered the gain within approximately one week of the pivot.

🔹 Narrative drove the initial move: The price reaction appears to have been fueled primarily by renewed attention, positioning, and expectations around the new direction.

🔹 Bittensor allows rapid repositioning: Subnets can change their products, incentives, and technical focus without creating an entirely new network.

🔹 Capital can rotate quickly: A new thesis can attract stakers and traders even before the updated product is fully operational.

🔹 Token price is not proof of adoption: A sharp ...

post photo preview
post photo preview
🤖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.
 
 

🙏To support my work, Helping to keep the signal high and the noise low:

👉 Cashapp: $thedinarian

👉 Buy me a coffee: https://buymeacoffee.com/thedinarian

👉 PayPal: Scan the QR code below 📲 or Click Here

👇 Crypto Donations 👇

XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

Read full Article
post photo preview
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.

🙏To support my work, Helping to keep the signal high and the noise low:

👉 Cashapp: $thedinarian

👉 Buy me a coffee: https://buymeacoffee.com/thedinarian

👉 PayPal: Scan the QR code below 📲 or Click Here

👇 Crypto Donations 👇

XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

Read full Article
post photo preview
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.

Source

🙏 Donations Accepted, Thank You For Your Support 🙏

If you find value in my content, consider showing your support via:

🙏 Cashapp: $thedinarian

🙏 Buy me a coffee: https://buymeacoffee.com/thedinarian

🙏 PayPal: Scan the QR code below 📲 or Click Here

🙏 Crypto Donations 👇
XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

Read full Article
See More
Available on mobile and TV devices
google store google store app store app store
google store google store app tv store app tv store amazon store amazon store roku store roku store
Powered by Locals