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? The Dinarian on Locals brings you the latest in news, interviews, in-depth conversations, and stories from across the blockchain and global communities—within and beyond cryptocurrency ?. Experts delve into how blockchain technology is reshaping industries, enhancing business networks ?, transforming transaction workflows, and advancing distributed ledger systems ??. We also explore intriguing topics that may venture into the realm of conspiracies—and so much more!
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September 20, 2024
Distributed Rebellion: A thesis on crypto x AI from Delphi Labs 📝

AI represents arguably the biggest technological revolution in history, and has kickstarted a technological arms race the likes of which the world has never seen before. Current AI models are already scoring in the top decile on most standardized college tests and outperforming humans at many tasks including AI research itself. Even at its current level, this is already transformative to many industries such as search, customer service, content creation, programming, education, and more.

We expect AI capabilities, funding, and its effect on society to only accelerate from here. All the big tech giants understand AI is existential to their businesses and are investing accordingly. NVIDIA revenue, arguably the best proxy for AI CapEx, is on track for over $100b in 2024, more than double that of 2023, >4x that of the year prior.
Google CEO Sundar Pichai on AI investments:
“The risk of underinvesting is dramatically greater than the risk of overinvesting for us here."

At the same time, startups sense AI is a disruptive force with which they can unseat multi-decade incumbents and an estimated $83b has been invested into AI startups over the last 18 months.

Given that AI capabilities have tended to scale exponentially with the compute applied to them, it’s very likely we will reach something like AGI within the decade.

In this piece, we argue that competitive dynamics will result in a world of millions of models, and crypto is the ideal substrate for this many-model world. We’ll start by discussing why we think a many-models world is the logical end-game for AI. We then go over the unique differentiators crypto provides to AI. Finally, we cover the crypto x AI stack as we see it, and provide specific examples of the kinds of projects we’re excited about.
There are strong philosophical and moral reasons why open-source AI and crypto x AI is a better state of affairs for humanity, and these are excellently covered elsewhere. While we agree with them entirely and this is part of what motivates us to build in this space, for the purposes of this piece will focus purely on the practical reasons why crypto x AI will win, rather than the moral arguments for why it should win.

○ God-model vs many-models

Right now, we’re tracking towards a world where a few, large vertically-integrated tech companies produce “God-models” that dominate everything else.

However, we don’t think think this is the end-game for a few reasons:

Rug risk: Organisations, entrepreneurs and developers building experiences on top of AI don’t want to be dependent on a single closed-source company which can change the model, alter the terms of use, or even stop serving them entirely.

Cost-performance-tradeoff: The extremely large, generalised models favoured by the big tech companies are necessarily much more expensive, both to train and to run. As a result, this renders them overpriced and overpowered for many use cases. While this isn’t as big a consideration right now as people aren’t thinking about profitability, as AI reaches scale people will optimise to get the lowest cost possible for the level of performance they’re looking for. For many tasks, large models will not be competitive here. There is extensive research to support this, showing much smaller, specialised models can outperform the generalised models at everything from medical imaging diagnoses, fraud detection, speech recognition and much more.

Vertical integration: As Apple has repeatedly demonstrated, the best products often result from vertical integration across the entire stack. Ambitious entrepreneurs building AI-enabled products will seek to gain a competitive advantage by building on top of their own specialised models.

These products will also be able to capture more value, attracting more investment, etc.
Privacy concerns: AI will be at the core of organisational workflows in a way that arguably no other technology has been. Many organisations are reluctant to entrust their sensitive data to these models.

For these reasons, we believe we’re much more likely to end up in a world with many smaller, specalised models that are tailored and cost-effective for particular use cases. Application developers and users will leverage open source models such as LLaMA or those from @MistralAI as a base from which to fine-tune their own dedicated models, often using proprietary data. Many models will continue to run on servers, but smaller, more privacy-sensitive applications will run locally on client devices, while others who require censorship-resistance might use decentralised compute networks.

This is a world of modular AI legos, where devs and entrepreneurs compete to provide value to users, and users are able to pick, choose and combine different services to suit their particular needs. Routing, orchestration, synthesis, payments, and all sorts of other infrastructure will need to be built to unbundle the “God-model” stack and serve this emergent AI economy.

This also happens to be the world where crypto thrives.

○ Crypto x AI

Crypto intuitively feels like an area which can find utility in this many-models world. However this hype has led to significant capital allocation in the space from often under-informed investors. Much like the infra bubble before it, many projects are being funded and built which perhaps should not be. As such it’s not easy to determine which subsectors in the crypto x AI space genuinely have merit, leading many to dismiss the whole space as a meme without fundamental value.

We don’t think it’s a meme, but it’s true that this many-models world could theoretically ex$ist without crypto. Therefore, it was important for us to focus on the unique Ş of crypto that allow us to create radically better products or, ideally, ones that couldn’t be built without it. In order to do this, we start by identifying the unique properties of crypto and how they could apply to AI in a way that results in better products. We’ll then go over the crypto x AI stack and provide examples of use cases that we think fit this.

Trustlessness: Crypto rails tend to be trustless, which means you can have cryptographic assurances that they don’t change, access cannot be unexpectedly withdrawn and you can verify that execution is as expected. This is important for the modular AI stack because, unlike with an integrated approach, builders will need to compose with a bunch of primitives they don’t control and users will need to inherently trust a number of services, many of which they don’t even know about.

Censorship-resistance: If deployed as immutable contracts, applications running on crypto rails are unstoppable. Even if upgradeable, it’s often by a DAO which requires a quorum of tokenholders to reach consensus. Assuming AI becomes as powerful as we expect, it’s highly likely governments will seek to control and influence it. In fact, we’re already seeing this happen. Just as Bitcoin and crypto provide money/financial rails that sit outside the system, crypto x AI provides unstoppable intelligence.

○ The crypto x AI stack

Given these benefits, what applications do we think are particularly interesting at the intersection of crypto x AI?

Data Centers and Compute

The utility of compute for models broadly falls into two categories: training and inference. We see merit in using decentralised compute for both of these and we’ll expand on each below.

Training on Decentralised Compute

Distributed compute is currently difficult due to the heavy communication and latency requirements between nodes during training. There are many teams trying to solve this problem and, given the size of the prize and the quality of talent working on it, we’re confident it will probably be solved. A few promising approaches here include @NousResearch’s DisTrO and @PrimeIntellect’s OpenDiLoCo.

In addition to solving the hard technical problems of distributed training and building a product that abstracts away this complexity, winners will also have to figure out:

1. How to ensure quality and accountability on a permissionless network

2. How to bootstrap a supply-side, ideally of data centers and clusters rather than consumer hardware

Token incentives will probably be table stakes for incentivising a supply-side, and more creative approaches may include giving compute providers ownership in the resulting model.

Fundamentally, the advantages of a distributed compute marketplace are that you can tap into the lowest marginal cost of compute around the world. This becomes increasingly important as rising costs from incumbent service providers causes more companies/orgs to push back and seek out cheaper alternatives. The disadvantages are latency, heterogeneous hardware as well as lack of all the optimisations and economies of scale that come from building and operating your own data centers. It remains to be seen how this plays out.

○ Verifiable Inference

Broadly, we see the use case for verifiable inference as extending trust-minimised systems with AI capabilities. It’s not practical to embed a model into a smart contract, but it is possible to run the model off-chain and post some attestation or proof that it ran as expected on-chain. For instance, projects could trustlessly offload governance decisions (e.g. decisions regarding risk parameters in a money-market) to an off-chain model.

This concept could also be used for open or closed-source models more generally, giving users assurances that the output came from the model they expected. This may become important as applications and users leverage AI for increasingly mission-critical tasks. There are many projects tackling this in various ways such as Delphi Ventures portco Inference Labs (@inference_labs).

○ Data

Training LLMs today is a multi-step process requiring various kinds of data and human intervention. It starts with pre-training, where LLMs train on cleaned, curated versions of the common crawl and other freely available data sets. During post-training, the models are trained on smaller, more specific, labeled datasets to make them proficient in specific areas (e.g. Chemistry), often with the help of experts.

In order to ensure fresh and/or proprietary data, AI labs often secure deals with owners of large data sources. For example OpenAI and Reddit signed a deal worth a rumoured $60m. Similarly, the Wall Street Journal reported that News Corp's deal with OpenAI was valued at more than $250 million over five years. It’s clear that data is more valuable than ever.

We believe that crypto networks are well placed to help teams source the data and resources required by every stage of this process. Perhaps the most interesting sector is data collection, where we believe crypto incentives are well placed to bootstrap the supply side of data collection and unlock much of the significant long tail of data sources.

For example, Grass AI (@getgrass_io) incentivises users to share their idle internet bandwidth to help scrape the web for data which is then structured, cleaned and made accessible for AI training. If Grass can bootstrap enough of a supply-side, it can effectively act as an API key providing fresh internet data for use in models.

@Hivemapper is another good example - the network was launched in November 2022 and collects millions of kilometers of road-level imagery every week, having already mapped 25% of the world. It’s easy to see how similar models could be applied to other forms of multi-modal data and monetised by selling to AI labs.

As the NewsCorp/Reddit deals show, there are many companies who own valuable data but many are either too small or lack the connections to AI labs to monetise it. Similarly, AI labs making deals with individual small providers may not be worth the effort. A well-designed data marketplace could mitigate this by connecting providers to AI labs in a somewhat uniform manner. There are a few challenges here, the primary ones being solving for quality of data, as well as fungibility of both APIs and data.

Finally, data preparation is a significant set of tasks involving labeling, cleaning, enrichment, transformations and so on. A small team may not have all these skills in-house and look to outsource. Scale AI (@scale_AI) is a centralised company offering these services - currently estimated to have revenue of around $700m and growing fast. We believe a well designed marketplace and workflow system based on crypto rails can do well here. Lightworks is one that Delphi Ventures invested in and there are a few others - all at quite an early stage.

○ Model

To paraphrase Delphi Digital’s report, The Tower & The Square, the production and control of AI models are tracking to be almost entirely controlled by “the tower” - big tech and governments.

This is arguably an even more dystopian state of affairs than government-controlled money. As it allows them to not only control the most important economic resource, but also control the narrative by censoring and manipulating information, cutting certain “undesirable” people off from the system entirely, using people’s private AI interactions against them, or simply using AI to maximize ad revenue.

There are many smart people working to create “the square” - a decentralised network with the goal of producing a fully neutral, censorship-resistant model accessible to all. So just as Bitcoin and crypto provide money/financial rails that sit outside the system, crypto x AI would provide intelligence that sits outside the system.

Such projects aim to create a god model that rivals GPT and LLaMA by decentralising every part of the model creation process - the network sources and prepares data, trains on its own decentralised compute, runs inference on that same compute, and coordinates the whole process through decentralised governance. No part of the process is centralised and thus the model is truly community-owned and uncontrollable by the “Tower”.

Obviously creating a decentralised model that comes anywhere close to rivaling frontier models is going to be extremely difficult. We can’t expect that a large percentage of users will tolerate a worse product for moral reasons. We consider this class of projects to be "moonshots", unlikely to succeed by definition but if they do, would be incredibly valuable - and we sincerely hope they do.
It’s also worth mentioning centralised AI labs, which embrace crypto ideals and are likely to have a token or leverage crypto rails in some other way. @NousResearch, @PondGNN and @PondGNN are some examples that Delphi Ventures has invested in.

Lastly model creation infrastructure such as Bittensor by @opentensor falls under this model part of the stack. Bittensor has been discussed thoroughly elsewhere however so we won’t get into the pros and cons of it here.

Continued:

https://x.com/delphi_labs/status/1834247706103160939?s=09

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"The World Order That We Are Coming Into"

If XRP is the neutral bridge for all sovereign currencies, stablecoins, and tokenized assets, then it’s not just facilitating payments, it’s capturing all that value at every level. From smart contracts to tokenized treasuries and digitized assets, XRP forms the foundation and backbone for everything in between.

With cross-border payments representing a multi-trillion-dollar corridor, that’s where the largest capital will flow and the greatest returns will come from.

At this point, you’re the gatekeeper to the digital economy. Everything else follows or fades away once regulations take effect.

You either see it or you won’t until it’s too late.

~The Black Swan Capitalist

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Denelle Dixon (Stellar CEO) On Bloomburg 🚀

'Everyone, including Mastercard and Visa, is looking at how this technology can make finance easier for their consumers and their business. I don't think there is going to be a loser, but I do think there will be shake-ups. And ultimately, the consumer is going to win.' - SDF CEO @DenelleDixon on @BloombergTV

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We are minutes away from passing the GENIUS Act.
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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
📚 How to Liquid Stake XPRT and Add Liquidity to stkXPRT/XPRT Pool on Persistence DEX 📚

Dinarian Note: The tutorial shows you how to turn your XPRT into Liquid staked stkXPRT, which can then on top of being staked earn you extra yield via the pools on the Persistence DEX. Note: I put a list of the current pools available below. Check out the APR% on these 😉 This is what makes Defi so attractive to investors. Putting your money to work 101. Instead of just staking your XPRT for 16%, you can put it in a pool and make upwards of 50% or more. Note: These values constantly fluctuate. Even if you don't want to partake in this, it's good practice and extremely good to know! This will be invaluable once your a multi-millionaire, unless you plan on keeping your funds in a criminal run BANK! 🤣

⚠ If you reside in the USA, you MUST use a VPN. I set it to Singapore and it works just fine! ~ Namasté 🙏 Crypto Michael ⚡ The Dinarian


This tutorial will guide you through the process of adding liquidity to the stkXPRT/XPRT pool on Persistence DEX.

Table of Contents:

🔹 How to ...

Account Abstraction on Sonic 🚀

With EIP-7702 arriving in Sonic's next client upgrade, your regular wallet will gain smart contract powers. ✨

🎁 Gas Subsidies
📊 Dynamic Fees
🤝 Social Recovery
🔑Session Keys

🧵 https://x.com/SonicLabs/status/1936395173275238459

👀 11-Year-Old Happy Demonstrates Advanced Dormant Abilities – Seeing Without the Physical Eyes

Happy an 11 year old demonstrated in week 3 workshop activating dormant abilities that go far beyond ordinary vision. What he demonstrates here is not imagination or guesswork it’s real perception beyond the physical eyes.

By tapping into his soul awareness and expanding his consciousness, Happy is able to see what others can’t, showing us the potential that lives within all of us when the inner senses are awakened.

👉 This is more than a skill. It’s a reminder of who we truly are & the abilities he have with practice.

Thank You Happy, You have inspired me and many others
Darius J Wright.

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Dubai regulator VARA classifies RWA issuance as licensed activity
Virtual Asset Regulatory Authority (VARA) leads global regulatory framework - makes RWA issuance licensed activity in Dubai.

Real-world assets (RWAs) issuance is now licensed activity in Dubai.

~ Actual law.
~ Not a legal gray zone.
~ Not a whitepaper fantasy.

RWA issuance and listing on secondary markets is defined under binding crypto regulation.

It’s execution by Dubai.

Irina Heaver explained:

“RWA issuance is no longer theoretical. It’s now a regulatory reality.”

VARA defined:

- RWAs are classified as Asset-Referenced Virtual Assets (ARVAs)

- Secondary market trading is permitted under VARA license

- Issuers need capital, audits, and legal disclosures

- Regulated broker-dealers and exchanges can now onboard and trade them

This closes the gap that killed STOs in 2018.

No more tokenization without venues.
No more assets without liquidity.

UAE is doing what Switzerland, Singapore, and Europe still haven’t:

Creating enforceable frameworks for RWA tokenization that actually work.

Matthew White, CEO of VARA, said it perfectly:

“Tokenization will redefine global finance in 2025.”

He’s not exaggerating.

$500B+ market predicted next year.

And the UAE just gave it legal rails.

~Real estate.
~Private credit.
~Shariah-compliant products.

Everything is in play.

This is how you turn hype into infrastructure.

What Dubai is doing now is 3 years ahead of everyone else.

Founders, investors, ecosystem builders:

You want to build real-world assets onchain.

Don’t waste another year waiting for clarity.

Come to Dubai.

It’s already here.

 

Source

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Your generosity keeps this mission alive, for all! Namasté 🙏 Crypto Michael ⚡  The Dinarian

 

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🎬Proof the Deep State Planned This War for Years🎬
Nation First outlines how the Israeli attack on Iran was planned by the Deep State and the Military Industrial Complex over 15 years ago.

Prepare to have your mind blown

~Namasté 🙏 Crypto Michael ⚡ The Dinarian

Dear friend,

What just happened in Iran wasn’t a surprise attack. It wasn’t a last-minute decision. It wasn’t even Israel acting alone.

It was a war plan written years ago — by men in suits, sitting in think tanks in Washington and New York. And yesterday, that plan was finally put into action.

Here’s the truth they don’t want you to know: this war was cooked up long before Trump ever became President — and it was designed to happen exactly this way.

Let’s start with what just happened.

Israel launched a massive, unexpected strike on Iran. They hit nuclear facilities. They killed military generals. They struck deep inside Iranian territory — and now the whole region is on edge, ready to explode into full-blown war.

The media is acting shocked. But I’m not. You shouldn’t be either.

Why?

Because we have the documents. They told us this was coming. Years ago.

Exhibit A: The Brookings Institution.

The Brooking Institution is a fancy name for what’s basically a war-planning factory dressed up as a research centre. Back in 2009, Brookings published a report called Which Path to Persia?

It laid out exactly how to get the U.S. into a war with Iran — without looking like the bad guy.

Here’s the sickest part:

“The United States would encourage — and perhaps even assist — the Israelis in conducting the strikes… in the expectation that both international criticism and Iranian retaliation would be deflected away from the United States and onto Israel.”

Let that sink in.

They literally suggested using Israel to start the war, so America could stand back and say, “Wasn’t us!”

They even titled a chapter of this report: “Leave It to Bibi” — naming Netanyahu as the guy to light the match.

Exhibit B: The Council on Foreign Relations (CFR).

The Council on Foreign Relations is an another Deep State operation. Also in 2009, CFR published a “contingency memothat laid out the whole military plan for an Israeli strike on Iran — step by step.

  • What routes the jets would fly (over Jordan and Iraq).

  • What bombs they’d use (the biggest bunker-busters in the U.S. arsenal).

  • Which Iranian sites to hit (Natanz, Arak, Esfahan).

  • And how Iran might respond (missiles, drones, threats to U.S. bases).

It’s like they had a time machine. Because those exact strikes just happened following the routes, likely using the bombs and hitting the sites that the CFR outlined.

Exhibit C: The Plot to Attack Iran by Dan Kovalik.

This one really blows the lid off.

US human rights lawyer and journalist Dan Kovalik, in his book The Plot to Attack Iran: How the CIA and the Deep State Have Conspired to Vilify Iran, shows how the CIA and Israel’s Mossad have been working together for decades — not just watching Iran, but actively sabotaging it. Killing scientists. Running cyberattacks. Feeding lies to the media to make Iran look like it’s always “six months away” from building a nuke.

He even reveals how they discussed false flag attacks — faking an Iranian strike to justify going to war. That’s not a conspiracy theory. That’s documented strategy.

And here’s where President Trump comes in.

Unlike the warmongers who wrote these plans, Trump wasn’t looking to bomb Iran. He wanted to talk. Negotiate. Make a deal — like he did with North Korea.

In fact, peace talks with Iran were just days away.

But someone didn’t want peace. Someone wanted war.

So Israel went in — just like the Brookings script said — and lit the fuse.

Trump didn’t authorise it. He didn’t want it. But they gazumped him. They went around him. And now, the peace he was trying to build has been blown to bits.

This was never about Iran being a threat. It was about keeping the war machine fed.

Think tanks, defence contractors, foreign lobbies — they don’t profit from peace. They thrive on tension. On fear. On war.

And now, thanks to them, the world’s one step closer to the edge.

If you’ve never trusted the mainstream media, you’re right not to.

If you’ve ever suspected there’s a shadowy agenda behind every war, you’re not paranoid.

You’re paying attention.

Because the documents are real. The war was planned. And the bombs are falling — right on schedule.

Pray for Iran’s civilians.

Pray for the Israelis caught in the crossfire.

Pray for a President who still wants peace.

And pray that we wake up before it’s too late.

Because the war has started.

But the truth has just begun to spread.

Until next time, God bless you, your family and nation.

Take care,

George Christensen

Source:

George Christensen is a former Australian politician, a Christian, freedom lover, conservative, blogger, podcaster, journalist and theologian. He has been feted by the Epoch Times as a “champion of human rights” and his writings have been praised by Infowars’ Alex Jones as “excellent and informative”.

George believes Nation First will be an essential part of the ongoing fight for freedom:

The time is now for every proud patriot to step to the fore and fight for our freedom, sovereignty and way of life. Information is a key tool in any battle and the Nation First newsletter will be a valuable tool in the battle for the future of the West.

— George Christensen.

Find more about George at his www.georgechristensen.com.au website.

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The Possible Impact Of USDC On The XRP Ledger And RLUSD
Key Points
  • It seems likely that USDC on the XRP Ledger (XRPL) boosts liquidity, benefiting XRP, though some see it as competition for RLUSD.
  • Research suggests both stablecoins can coexist, enhancing the XRPL ecosystem.
  • The evidence leans toward increased network activity being good for XRP, despite potential competition.

The recent launch of USDC on the XRP Ledger has sparked discussions about its impact on the ecosystem, particularly in relation to RLUSD, Ripple's own stablecoin. This response explores whether this development is more about competition for RLUSD or if it enhances liquidity on the XRPL, ultimately benefiting XRP.
 

Impact on Liquidity and XRP

The introduction of USDC, a major stablecoin with a $61 billion market cap, likely increases liquidity on the XRPL by attracting more users, developers, and institutions. This boost can enhance DeFi applications and enterprise payments, potentially driving demand for XRP, the native token used for transaction fees. While some may view it as competition for RLUSD, the overall effect seems positive for the XRPL's growth.
 

Competition vs. Coexistence with RLUSD

USDC and RLUSD cater to different needs: USDC appeals to those valuing regulatory compliance, while RLUSD, backed by Ripple, may attract users preferring ecosystem integration. Research suggests both can coexist, increasing options and fostering innovation, rather than purely competing.
 

Detailed Analysis of USDC on XRPL and Its Implications

The integration of USDC on the XRP Ledger (XRPL), announced on June 12, 2025, by Circle, has significant implications for the ecosystem, particularly in relation to RLUSD, Ripple's stablecoin launched in 2024. This section provides a comprehensive analysis, exploring whether this development is more about competition for RLUSD or if it enhances liquidity on the XRPL, ultimately benefiting XRP.
 

Understanding RLUSD and Its Role

RLUSD, Ripple's stablecoin, received approval from the New York Department of Financial Services (NYDFS) in 2024 and is designed to be fully backed by cash and cash equivalents, ensuring stability. It is available on both the Ethereum and XRP Ledger blockchains, aiming to enhance liquidity, reduce volatility, and serve cross-border payments. With a current market cap of $413 million, RLUSD is smaller than USDC's $61 billion but has regulatory credibility, particularly appealing to institutions.
 

Impact of USDC on the XRPL

The launch of USDC on the XRPL is a significant development, given its status as the second-largest stablecoin by market cap.
 
Key impacts include:
  • Liquidity Boost: USDC's integration can attract more users, developers, and institutions, increasing overall liquidity. This is crucial for DeFi applications, as Circle's announcement emphasizes its use in liquidity provisioning for token pairs and FX flows.
  • Increased Utility: USDC enhances the XRPL's utility for enterprise payments, financial infrastructure, and DeFi, potentially making it more attractive for global money movement and transparent settlements.
  • Regulatory and Institutional Appeal: As a regulated stablecoin issued by Circle, USDC can bring institutional users to the XRPL, aligning with Ripple's goals for regulated financial activities.
  • Network Growth: Supporting a widely recognized stablecoin like USDC on 22 blockchains, including the XRPL, increases the network's visibility and adoption, potentially driving more activity.

Competition vs. Complementarity with RLUSD

While USDC's launch could be seen as competition for RLUSD, the evidence suggests a more nuanced relationship:
  • Competition: Both are stablecoins on the XRPL, and USDC's larger market presence ($61 billion vs. RLUSD's $413 million) might attract users and developers away from RLUSD. However, competition can drive innovation, such as lower fees or better services, benefiting the ecosystem
  • Complementarity: Different stablecoins cater to different needs. USDC appeals to users valuing regulatory compliance and widespread adoption across multiple blockchains, while RLUSD, backed by Ripple, may attract those preferring ecosystem integration and regulatory approval from NYDFS. The XRPL can benefit from having multiple options, increasing liquidity and fostering a diverse ecosystem.
  • Coexistence Benefits: Research suggests that having multiple stablecoins enhances liquidity and provides users with more choices, potentially leading to higher network activity. For example, institutions might use USDC for global payments and RLUSD for specific XRPL-integrated applications, creating a symbiotic relationships.

Impact on XRP

The introduction of USDC, alongside RLUSD, is likely beneficial for XRP, the native token of the XRPL, for several reasons:
  • Increased Liquidity and Activity: Higher liquidity on the XRPL, driven by both stablecoins, can increase transaction volumes. XRP is used for transaction fees, with some fees burned, potentially reducing supply over time and increasing demand.
  • DeFi and Enterprise Use Cases: Both USDC and RLUSD enhance DeFi and enterprise applications, such as liquidity pools and cross-border payments, which can drive demand for XRP as a settlement token.
  • Network Growth: A more liquid and active XRPL is more attractive to developers and users, potentially leading to long-term growth for XRP, as increased utility can drive its value.
Expert analyses, such as those from u.today and ledgerinsights.com, suggest the launch is a "massive boost" for liquidity and adoption, with RLUSD also playing a significant role.
 

Comparative Analysis: USDC vs. RLUSD

To further illustrate, consider the following table comparing key attributes:
 
Given the evidence, it is more accurate to view the introduction of USDC on the XRPL as beneficial for liquidity, which is ultimately good for XRP, rather than solely as competition for RLUSD. The XRPL benefits from increased options, with both stablecoins enhancing liquidity, utility, and network growth. While some competition exists, the overall impact is positive, fostering a robust ecosystem that can drive demand for XRP. This conclusion aligns with expert analyses and community discussions, acknowledging the complexity of the stablecoin market within the XRPL.
 

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💳 PayPal: 
1) Simply scan the QR code below 📲
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Or Buy me a coffee: https://buymeacoffee.com/thedinarian

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