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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 ƞ 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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Stargate: Establishing the Physical Foundations of the AI Revolution đŸ›°ïžđŸŒŽ

The Stargate initiative represents the most substantial investment in artificial intelligence infrastructure to date, as it begins to materialize on a global scale. While many perceive AI as an ethereal technology—simply accessed via applications like ChatGPT đŸ€–â€”each digital interaction is, in fact, powered by extensive physical resources: vast data centers 🏱, thousands of cutting-edge GPUs đŸ’Ÿ, sophisticated cooling systems 💧, dedicated power grids ⚡, and essential water pipelines 🚰. AI does not reside on personal devices; it is anchored on Earth and demands significant resources.

As artificial intelligence continues to advance, its infrastructure needs only intensify. Regardless of improvements in model efficiency, the explosive growth in usage—billions of queries, ongoing model training, and worldwide deployment—necessitates ever-greater computing power, land, electricity, and semiconductors. This expansion is not plateauing; it is accelerating 📈.

Stargate stands ...

00:01:55
🚹 A Senior UAE Official Has Forecasted...👀

🇩đŸ‡Ș The United Arab Emirates has taken a decisive step that the United States has been reluctant to pursue.

👉 “Within the next two years, cryptocurrency will be used more frequently than traditional currencies like the dollar or dirham, even for everyday purchases such as coffee and groceries.” 🏩☕🛒

It is worth noting which cryptocurrencies offer transaction fees that are virtually negligible. 😏

The official further stated: “Mark my words, I believe in actions, not just words.”

00:01:00
The Digital Euro đŸ‡ȘđŸ‡ș Is Ready đŸ’¶đŸŒ Via XRP &XLM

The legislative process is complete, and the Digital Euro đŸ‡ȘđŸ‡ș is ready for real time use and October 2025 is the big roll out.

Around this time Europe will also be releasing their
‱Request2pay
‱ SEPA credit transfer rulebook
‱PSD3 instant payments
‱Verification of payee
‱TIPS multi-currency phase 1

The Digital Euro will be minted on #XRPL and #Stellar

OP: MRMANXRP

00:00:27
👉 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
Veritaseum Hodlers, Are You Ready For Chaos? 🚀 đŸ‘©‍🚀

What would happen if Veritaseum was "Resurrected" from the Land of Dead Cryptos? Would Clif High's prediction of Veri trading 1 to 1 with Bitcoin actually come TRUE?! We may just find out SOONER than you think!!

$Velos New Payfi Litepaper 📝

As the market evolves, so do we. Our new PayFi Litepaper reflects our commitment to adapt fast, stay ahead, and win.

Dive into our latest vision and strategy for what’s next.

https://x.com/veloprotocol/status/1917550676860887446

Reggie Middleton vs The SEC

The Motion to Vacate the SEC case against @ReggieMiddleton was filed on Friday May 30th, 2025 and contains NEW EVIDENCE clearly illustrating the alleged Fraud Upon the Court by SEC attorney Jorge Tenreiro.

It’s Reggie’s time to shine and this is going to be Epic!

Watch for a Video and further X posts breaking down this New Evidence.

https://x.com/SovereignRiz/status/1928836032964804760

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Stellar's Ecosystem Surges Forward: Smart Contracts, Lightning Speed, and Real-World Impact in 2025

The Stellar blockchain ecosystem is experiencing remarkable momentum in 2025, with groundbreaking technical achievements and expanding real-world adoption that position it as a major player in the decentralized finance landscape. From lightning-fast transaction speeds to innovative smart contract capabilities, Stellar is demonstrating that blockchain technology can deliver both performance and practical utility.

Technical Breakthroughs Drive Performance

The Stellar Development Foundation's Q1 2025 quarterly report reveals impressive technical milestones that showcase the network's maturation. The platform now processes an astounding 5,000 transactions per second with remarkably fast 2.5-second block times, putting it among the fastest blockchain networks in operation today.

This performance leap isn't just about raw numbers—it represents Stellar's commitment to creating infrastructure that can handle real-world demand. Whether it's cross-border payments, asset tokenization, or decentralized applications, the network's enhanced capabilities provide the foundation for scalable blockchain solutions.

Smart Contracts Get Smarter with Soroban

One of the most significant developments has been the launch and continued evolution of Soroban, Stellar's smart contract platform. The introduction of Contract Copilot represents a major advancement in developer experience, enabling faster and safer smart contract development through enhanced tooling and guidance.

This focus on developer experience is crucial for ecosystem growth. By lowering barriers to entry and improving the development process, Stellar is positioning itself to attract innovative projects and talented developers who might otherwise choose competing platforms.

New Token Standards Meet Market Needs

The Stellar Development Foundation has introduced new token standards developed specifically based on feedback from developers and institutional users. This responsive approach to platform development demonstrates Stellar's commitment to building technology that meets actual market needs rather than theoretical requirements.

These standards are particularly important as institutional adoption continues to grow, with organizations requiring robust, compliant, and flexible token frameworks for their blockchain initiatives.

Global USDC Integration Expands Utility

The integration of USDC across Stellar's global network represents a significant milestone for practical cryptocurrency adoption. Stablecoins like USDC provide the price stability necessary for everyday transactions and business operations, making them crucial for blockchain platforms seeking real-world utility.

This integration is particularly impactful in emerging markets, where access to stable digital currencies can provide financial services to underbanked populations and facilitate more efficient cross-border transactions.

Industry Events Build Community Momentum

The Stellar ecosystem's growing influence is evident in its presence at major industry events. The foundation's participation as a sponsor at Consensus 2025 in Toronto and Digital Assets Week in New York demonstrates its commitment to engaging with builders, investors, and institutional leaders across the blockchain space.

These events serve as crucial networking opportunities and platforms for showcasing innovative projects within the Stellar ecosystem. Recent Meridian events have highlighted creative projects like Skyhitz and HoneyCoin, illustrating the collaborative spirit and diverse applications being built on the platform.

Real-World Impact in Emerging Markets

Perhaps most importantly, Stellar's growth isn't just about technical metrics—it's about real-world impact. The platform's focus on emerging markets addresses genuine financial inclusion challenges, providing efficient payment rails and access to digital financial services where traditional banking infrastructure may be limited.

This practical approach to blockchain implementation sets Stellar apart from projects that focus primarily on speculative trading or theoretical use cases. By solving actual problems for real users, Stellar is building sustainable demand for its technology.

Looking Ahead: Enterprise-Grade Infrastructure

Stellar positions itself as offering enterprise-grade asset tokenization alongside its DeFi capabilities and payment infrastructure. This comprehensive approach makes it attractive to institutions looking for a single platform that can handle multiple blockchain use cases.

The combination of fast transactions, low costs, smart contract capabilities, and regulatory-conscious development creates a compelling value proposition for enterprises considering blockchain adoption.

The Road Forward

As 2025 progresses, Stellar's ecosystem appears well-positioned for continued growth. The technical infrastructure improvements, developer-focused enhancements, and real-world adoption initiatives create a strong foundation for expanding use cases and user adoption.

The blockchain industry has seen many projects promise revolutionary capabilities, but Stellar's focus on delivering measurable performance improvements and practical solutions suggests a mature approach to blockchain development. With transaction speeds that rival traditional payment systems and growing institutional adoption, Stellar is demonstrating that blockchain technology can move beyond experimental phases into mainstream utility.

For developers, institutions, and users looking for blockchain solutions that prioritize both performance and practical applicability, Stellar's 2025 developments represent significant progress toward a more accessible and useful decentralized financial ecosystem.

Source: The Dinarian ⚡ Claude AI

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Soroban Security Audit Bank: Raising the Standard for Smart Contract Security

The Stellar Development Foundation (SDF) is deeply committed to helping ensure that the highest security standards are available for projects building on the Stellar network. Last year SDF launched the Soroban Security Audit Bank, an initiative to provide projects access to auditing experts and tooling that are proven to help prevent hacks by catching potential bugs, inefficiencies, and security flaws before contracts go live. Through the Soroban Security Audit Bank, we’re empowering teams building on Soroban with comprehensive security audits from leading audit firms, enhanced readiness support, and robust tooling, significantly elevating the ecosystem’s safety and efficiency.

Since launch, the Soroban Security Audit Bank has successfully conducted over 40 essential audits, deploying over $3 million to support security of the smart contracts on Stellar. Check it out!

 

Ecosystem Success Stories: How the Soroban Audit Bank Drives Security Forward

By making automated formal verification available to developers, in addition to allocating significant budget for securing many of the top DeFi protocols built on top of Stellar, SDF has established a new security standard in the Web3 ecosystem. –Mooly Sagiv, Co-Founder of Certora
SDF has been a strong partner as we’ve worked with teams across the Stellar ecosystem. SDF’s Audit Bank initiative allows for a smooth and streamlined review process, and is a clear reflection of the Stellar ecosystem’s enhanced commitment to security. –Robert Chen, CEO of OtterSec
 

Leading projects within the Soroban ecosystem have highlighted the impact of the Audit Bank

Finding a good auditor is difficult, expensive, and high-stakes. The Audit Bank streamlines the process and supports ecosystem projects with security review at critical growth milestones. –Markus Paulson, Co-Founder of Script3
The audit firms we worked with deeply understood the full ecosystem and the underlying protocols used. Their expertise and the tools from the Audit Bank strengthened our security and supported user and investor trust. –Esteban Iglesias Manríquez, Co-Founder of Palta.Labs

What's New in 2025: Enhanced Audit Support for Soroban Builders

Teams building financial protocols, high-dependency data services, high-traction dApps funded by the Stellar Community Fund are able to request an audit and will typically be matched with a reputable audit firm within two weeks. We recently restructured the program for this year to enhance audit efficiency and incentivize accountability, and rapid and complete vulnerability remediation:

  • Complimentary Initial Audit: Projects will need to contribute 5% of the audit cost upfront, but this co-payment amount is eligible for a full refund, provided that critical, high, and medium vulnerabilities identified are swiftly remediated within 20 business days of receiving the initial audit report (learn more).
  • Incentivized Security at Key Traction Milestones: Complimentary, extensive follow-up audits are available as projects achieve critical traction milestones (e.g., $10M and $100M TVL). These audits include deeper assessments such as formal verification or competitive audits, significantly boosting project security at pivotal stages.
  • Advanced Security Tooling: Projects can enhance their security self-serve through complimentary or discounted access to specialized tooling, which provide vulnerability detection and formal verification capabilities (see full list of available tooling). These tools are encouraged to capture ‘easy-to-spot’ issues prior to audit as well as a final check post-audit to increase the effectiveness and thoroughness of audits.
  • Enhanced Audit Readiness Support: Projects receive structured preparation support, including the implementation of best practices and security standards based on the STRIDE threat modeling framework. This ensures project teams are thoroughly prepared, optimizing audit efficiency and minimizing delays.

Get Started Today

If you're already funded through the Stellar Community Fund, meet the criteria and ready to secure your smart contracts, check your email for an invitation to submit an audit request–if you haven’t received one, contact [email protected].

If you haven't built on Stellar yet, we encourage you to start your journey with the Stellar Community Fund to become eligible for future security audits and ecosystem support. For any broader questions on the program, contact [email protected].

Also, we’re organizing an exciting series of workshops–join us for the kick-off on Soroban Security Best Practices on Friday, May 30, 2025 at 2 PM ET on @StellarOrg. Together, we're shaping a secure and resilient future for smart contracts on Stellar.

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Santander mulls stablecoin, crypto offering

Bloomberg reported that Banco Santander is mulling introducing euro and dollar stablecoins, or potentially making a third party coin available to clients, citing sources. This move aligns with broader crypto ambitions, as its digital bank, Openbank, has reportedly applied for a European cryptocurrency license under the Mica Regulations and may enable retail access to digital assets.

Systemically important banks embrace stablecoins?

Major banks are now moving from observers to participants in this expanding market. Should Santander confirm plans to launch a stablecoin, it will be the fourth global systemically important bank (G-SIB) to do so. Societe Generale’s FORGE subsidiary launched the EURCV euro coin in 2023. Deutsche Bank is a partner in ALLUnity, another stablecoin initiative with plans to launch this year, subject to regulatory approval. And Standard Chartered is part of a joint venture in Hong Kong that intends to introduce a stablecoin.

Santander’s involvement could extend beyond an individual initiative. The bank is a shareholder in The Clearing House, where the Wall Street Journal reported that US banks are exploring the potential to create a joint stablecoin. If a US initiative took that route it could involve nine more G-SIBs including Bank of America, Barclays, BMO, BNY Mellon, Citi, HSBC, JP Morgan, TD Bank and Wells Fargo.

Apart from these initiatives, our research shows that more than 20 other banks have been involved in stablecoin projects.

Until recently stablecoins were mainly used to settle cryptocurrency transactions and by residents in countries with volatile domestic currencies. During the last year stablecoin infrastructure has been expanding, especially for mainstream cross border payments. Plus, President Trump issued an executive order prioritizing stablecoins. One of the administration’s motivations is this increases demand for US Treasuries, lowering the interest rate the government pays on the Treasury bills.

Santander as an early digital assets mover

Santander’s stablecoin consideration builds on years of blockchain experience. The bank was an early Ripple investor and previously used Ripple’s permissioned network for payments (not XRP), while also embracing permissionless blockchain activities including issuing a digital bond on Ethereum in 2019. This dual approach led to collaborations with other major players – alongside Societe Generale FORGE and Goldman Sachs, Santander participated in the European Investment Bank’s first digital bond, also on Ethereum. Currently, the bank’s most significant digital money initiative involves Fnality, the wholesale blockchain-based settlement network, where Santander ranks among 20 institutional backers and is part of the early adopter group alongside Lloyds Bank and UBS.

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