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Institutional DeFi on the XRP Ledger: What's Live and What's Next
March 01, 2025
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Institutional adoption of blockchain-powered finance has accelerated in the past year, with tokenized real-world assets (RWAs)stablecoins, and decentralized liquidity markets as major drivers of growth. Yet, for this transformation to scale, financial institutions need a robust, compliance-focused, and interoperable blockchain infrastructure—one that can support digital assets, seamless cross-border transactions, and institutional-grade decentralized finance (DeFi).

The XRP Ledger (XRPL) meets this challenge head-on, building on its core strengths—a native DEX, low fees, rapid settlement times, and a compliance-friendly architecture—to create an advanced institutional DeFi ecosystem. Several key capabilities are live, with others on their way, which will support the XRPL as a safe, secure, and scalable layer 1 for financial institutions looking to use blockchain in a regulated environment.

What’s Live on the XRP Ledger: Expanding Institutional DeFi Infrastructure

XRPL has made significant strides in enhancing liquidity, improving price transparency, and introducing new compliance tools to better cater to the needs of institutions.

While this blog highlights several of the newest features live on the XRP Ledger, they build upon core functionalities that have been supporting financial use cases for over a decade. The move towards a more automated and integrated system within XRPL’s native Decentralized Exchange (DEX) is designed to facilitate greater institutional participation by ensuring constant liquidity and minimal slippage. XRPL’s Central Limit Order Book (CLOB) has powered decentralized trading since its inception, providing efficient price discovery and deep liquidity across assets

Meanwhile, Payments—one of the ledger’s first native capabilities—continues to facilitate fast, low-cost global transactions, with additional payment primitives like Payment Channels for scalable micropayments, Checks for deferred settlement, and Escrows for conditional transfers. These are just some of the long-standing features that, combined with recent innovations, make XRPL one of the most mature and robust blockchains for institutional DeFi. With over 2.8B transactions having been processed to date, XRPL continues moving from strength to strength.

XRPL’s Automated Market Maker (AMM), built on the XLS-30 standard, introduces protocol-level liquidity for tokenized assets, stablecoins, and real-world assets (RWAs). Unlike traditional AMMs, XRPL’s version integrates directly with its native order book (CLOB)-based DEX, and enables price optimization to determine whether swapping within a liquidity pool, through the order book, or both provides the best rate and executes accordingly. Its continuous auction mechanism mitigates impermanent loss, making liquidity provision more appealing to institutional players. 

Thanks to AMM Clawback, all key tokens, including Ripple USD (RLUSD), can fully leverage the network’s AMM liquidity pools. By enabling issuers to “claw back” funds from a trustline in specific circumstances—like lost account access or malicious activity—this amendment satisfies crucial regulatory requirements for fraud prevention and transaction reversals. Clawback remains an optional feature, intentionally disabled by default that can only be enabled for issued assets and never for XRP.

Key Use Cases

  • Institutional Liquidity Provisioning – Funds and market makers can deploy capital in AMM pools to generate yield.

  • Tokenized RWA Trading – Previously illiquid assets, such as tokenized treasuries and real estate, can be efficiently traded.

  • Arbitrage & Cross-Chain Swaps – Ensuring pricing accuracy across different DeFi ecosystems.

Decentralized Identity (DID) 

Now that XLS-40 is live, institutions and developers can create and manage decentralized identifiers (DIDs) directly on the Ledger. This feature enables self-sovereign identity, allowing users to establish verifiable identities without relying on centralized intermediaries. 

By leveraging DIDs, institutions can enhance security, privacy, and compliance while maintaining decentralization. This lays the groundwork for permissioned access to financial markets, identity verification for tokenized real-world assets (RWAs), and broader institutional adoption of DeFi.

Key Use Cases

  • Privacy-Preserving KYC & AML Compliance – Institutions can verify identity attributes without exposing sensitive personal data.

  • Permissioned Finance & Access Control – Gate entry to regulated trading venues using onchain credentials.

  • Institutional Onboarding – Streamline identity verification for tokenized securities, RWAs, and lending platforms.

Price Oracles: Bringing Market Data Onchain

Real-time and accurate price feeds are critical for institutional DeFi—especially when dealing with tokenized assets and cross-chain transactions. To meet this need, the XRP Ledger integrates protocol-native oracles, providing a built-in mechanism for bringing off-chain data (like stablecoin rates and real-world asset valuations) onchain. Because these oracles are embedded directly into the XRPL—much like its native AMM—they avoid reliance on separate third-party layers, ensuring more efficient and trustworthy data flows. 

Providers such as Band Protocol and DIA are already live on the XRPL mainnet, delivering robust price feeds that span both crypto and traditional markets. This is essential for institutions, given that much of the data required still resides in legacy Web2 systems.

Key Use Cases

  • Accurate RWA Valuation – Ensuring tokenized assets remain pegged to their real-world counterparts.

  • Cross-Chain Interoperability – Providing price feeds for assets moving across different blockchain networks.

  • Institutional-Grade Risk Management – Enabling more reliable onchain lending and derivatives.

What’s Coming to the XRP Ledger: Expanded Compliance Features, Institutional Lending, and Programmability

XRPL is evolving with new features that bring greater compliance functions, expanded lending, and more ways to build onchain financial products. These changes will enable institutions to meet regulatory requirements, offer new lending options, and give developers more flexibility to build and deploy financial applications.

Building on DID: Permissioned DEX, Credentials & Compliance Innovations

Enhancing the ‘Identity Stack’ in finance tools will enable institutions to build secure, compliant trading venues on XRPL.

Credentials are designed to be a lightweight feature and are additive to the recent Decentralized Identity (DID) standard. The Credentials standard introduces a new ‘Credential’ ledger object along with new transaction types for creating, accepting, and deleting credentials. The XLS-70 spec for Credentials on the XRPL is currently undergoing the amendment voting process as part of the rippled 2.3.0 release.

Ripple Senior Software Engineer, Mayukha Vadari, recently outlined how to consider Credentials as a modular building block to DID. It can be applied to attest to specific criteria (e.g. KYC) pertaining to a user and issued to their DID. This is critical in terms of enabling a smooth onboarding process when accessing products like tokenized RWAs.

Credentials and DID give rise to two additional features, Permissioned Domains and a Permissioned DEX, that help facilitate a flexible, institutional-grade identity system on XRPL.

Permissioned Domains allow entities, such as financial institutions, to establish environments on the XRPL that require specific credentials for access. This setup enables organizations to define membership criteria, such as Know Your Customer (KYC) credentials from trusted issuers, and manage participation within their domain. Importantly, this system preserves user privacy by verifying credential validity without exposing personal information

Building upon this, the Permissioned DEX extends the XRPL’s native DEX to operate within these controlled domains, ensuring that only accounts with valid credentials can create or fill orders. This approach allows institutions to engage in decentralized trading while adhering to regulatory requirements, such as Anti-Money Laundering (AML) and KYC rules, all within a decentralized framework.

While DIDs serve as a foundational “fingerprint” for each user, Credentials provide the identity and compliance layer required for different scenarios. Building on these foundations, Permissioned Domains and Permissioned DEX protocols enforce membership and compliance rules by requiring the appropriate DID-based Credentials, all while preserving the open nature of the XRPL.

Multi-Purpose Token (MPT): A New Standard for Tokenized Assets

Traditional financial instruments such as stocks, bonds, and other securities possess intricate data requirements that can be challenging to represent onchain as fungible tokens. For instance, two bonds may be identical in all regards except their expiry dates, which is a critical detail and makes it inappropriate to present both as equivalent. 

To solve this, the XRPL developer community has introduced Multi-Purpose Tokens (MPTs) which bridge the gap between fungible and non-fungible tokens. They are akin to “semi-fungible” tokens whereby key associated metadata can be attached. This provides them with more flexibility than fungible tokens, while they’re not truly unique such as with NFTs.

Currently undergoing validator voting, MPT introduces a more flexible, efficient, and metadata-rich token standard that allows institutions to tokenize and trade bonds, RWAs, and structured financial products with enhanced functionality.

Key Use Cases

  • Tokenized Bonds – Represent fixed-income assets on XRPL with precise metadata storage.

  • Grade Asset Management – Better compliance features, efficiency, and control over tokenized securities.

XRPL Lending Protocol: Credit-Based DeFi for Institutions 

The XRP Ledger-native lending protocol adds a pivotal dimension to the XRPL’s DeFi capabilities. This proposed amendment will enable crypto-native businesses to integrate lending with Ripple Payments, DEX, RWAs, and stablecoins, using a default RLUSD vault to reduce liquidity fragmentation and AMM for seamless FX swaps. It will also look to streamline asset allocation and fund admin for crypto-native managers with automated returns, real-time valuations, diversified strategies, and compliant execution via RWAs and onchain KYC.

Institutional DeFi requires robust, scalable, and secure financial products. The XRPL-native lending protocol addresses these needs by providing a decentralized, protocol-native solution for lending that reduces reliance on intermediaries, enhances transparency, and offers a higher degree of security.

The lending protocol specs, XLS-65d, will allow for the pooling of assets (public or private) represented by Vault shares, with optional Permissioned Domain access, while XLS-66d will introduce on-ledger, fixed-term, uncollateralized lending with off-chain underwriting and first-loss capital protection, allowing financial institutions to issue credit and manage risk directly on the blockchain. You can expect these developments to undergo voting in Q2 of 2025.

Key Use Cases:

  • Institutional Lending Markets – Banks, fintechs, and funds can tokenize and distribute loans onchain.

  • Stablecoin & RWA Integration – Lending backed by tokenized assets and compliance-focused stablecoins.

Expanding Programmability 

As announced in September, Ripple, in collaboration with the community, is committed to bringing permissionless programmability to the XRPL. Programmability on the XRPL offers an opportunity to seamlessly connect its powerful, native building blocks with the flexibility of custom on-chain business logic. This vision focuses on preserving what makes the XRPL special—its efficiency, reliability, and simplicitywhile empowering builders to unlock new possibilities. This goal requires a measured approach, with careful steps that ensure the robustness of the network. 

Native Programmability

The first step of this broader effort will see the introduction of 'Extensions,’ a feature that allows developers to attach small pieces of code to existing XRPL primitives, enhancing their functionality without the need for entirely new smart contracts

This approach can enable the customization of features like escrows, automated market makers (AMMs), and tokens, making them more adaptable to specific use cases while maintaining efficiency and security. For instance, “Smart Escrows” allow developers to incorporate custom release conditions, such as notary approvals or price-based triggers, without needing to rebuild the escrow mechanism from scratch. This method preserves the robustness of XRPL’s native features while offering tailored solutions for complex requirements.

The timeline toward deployment is outlined below:

  • Q1: Early devnet for smart escrows

  • Q2: Full-functional Smart Escrow devnet

  • Q3: Release Smart Escrows in an amendment for voting

  • Q4: Smart Contract devnet

For a detailed overview on ‘Extensions’ and broader programmability efforts you can dive into RippleX Devto blog.

XRPL EVM Sidechain

The XRPL EVM sidechain serves a complementary role to the XRPL, but is not a replacement for mainnet programmability. 

Set for Mainnet launch in Q2 2025, the XRPL EVM Sidechain offers a great opportunity to attract EVM ecosystem developers to the XRPL ecosystem. It can also be used to launch protocols that are not currently possible on the XRPL - especially ones that are already written in Solidity, or specifically require the EVM. This bridged solution, using a cross-chain approach, is useful if a project requires an alternative form of programmability.

Key Benefits:

  • First-Mover Advantage: Be among the first to deploy cross-chain or EVM dApps on an emerging sidechain ecosystem tied to XRPL.

  • Access a Vast Ecosystem: Tap into the 5.7M+ XRP wallet holders and gain exposure to a thriving, established blockchain community.

  • Seamless Development: Use familiar EVM tools to build, port, or fork dApps quickly, with minimal barriers to entry.

Looking Further Ahead

As tokenization and decentralized finance continue to evolve, XRPL is positioning itself as a leader in regulated onchain finance. With deep liquidity, compliance-friendly features, and seamless institutional integration, the next phase of Institutional DeFi will be built on XRPL. 

While a dedicated roadmap page is in development, the broader XRPL ecosystem is actively shaping the future of institutional DeFi through innovations such as Automated Market Makers (AMMs), Price Oracles, Decentralized Identifiers (DIDs), and new tokenization standards. These developments reflect ongoing collaboration across the network to enhance security, efficiency, and institutional-grade financial tools. 

For deeper insights into XRPL’s future, join us at XRPL Apex 2025, where David Schwartz will outline the roadmap and explore the latest advancements driving Institutional DeFi forward.

Reasons for optimism

Ripple hopes that leaning into institutional DeFi, including real-world assets (RWAs), will supercharge the network’s growth, according to the blog post.

Tokenized RWAs represent a $30-trillion market opportunity globally, Colin Butler, Polygon’s global head of institutional capital, told Cointelegraph in an interview.

Trump, who has promised to turn the US into the “world’s crypto capital,” plans to tap industry-friendly leaders to head key financial regulators, including the US Securities and Exchange Commission.

Several asset managers have applied to list XRP exchange-traded funds (ETFs) in the US, which JPMorgan expects could attract billions in investor inflows.

Some experts have suggested that the SEC case against Ripple, ongoing since 2022, could be paused or withdrawn entirely.

On Feb. 25, the US regulator dropped its probe into Uniswap, a DEX, as part of a broader pivot on crypto policy under Trump. 

 

Source

 

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1. Open Access: Democratized access to advanced trading
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How USDC Wins the Hyperliquid Deal🤔
 
USDC "wins" the Hyperliquid deal by securing dominant distribution and deeper integration into one of crypto's fastest-growing on-chain perpetuals platforms, in exchange for sharing most of the USDC reserve yield (up to ~90%) back with Hyperliquid.
 
Background on the Deal: Hyperliquid had ~$5–6B in USDC deposits (a huge chunk of total USDC supply, often cited around 7–8%). Previously, the interest/yield on those reserves (~$180–250M annually at prevailing rates) mostly flowed to Circle (issuer) and Coinbase (key partner/treasury handler), with little returning to Hyperliquid.
 
In late 2025, Hyperliquid ran an RFP for a native stablecoin (USDH) to capture that revenue. Native Markets won the community vote, and USDH launched as an "Aligned Quote Asset" (AQA).
 

In May 2026, Native Markets sold USDH brand assets to Coinbase. USDH is being sunsetted over time (with feeless conversions/redemptions to USDC/fiat), and USDC becomes the primary/official Aligned Quote Asset on Hyperliquid. Coinbase acts as the main treasury deployer; Circle handles minting, redemptions, and cross-chain (e.g., CCTP).

 

How USDC Wins: 🔑 Key Advantages

Massive, sticky distribution in a high-growth venue: Hyperliquid is a leading on-chain perp DEX. USDC gains preferred status as the quote asset for most trading pairs, reducing friction vs. bridging/swapping other stables. This concentrates liquidity, improves efficiency, and funnels more capital flows through USDC.

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  • Longer-term consolidation play: Analysts see this as part of stablecoin market consolidation around established players with liquidity and infrastructure. Fewer conversion layers = better efficiency for USDC.
     

The Trade-Off (and Hyperliquid's Win)Hyperliquid gets ~90% of the reserve yield (estimates: $135–160M+ annually at current balances, potentially scaling to $300–500M with growth), funneled into protocol revenue/HYPE buybacks. This is roughly double what they got from USDH and turns stablecoin balances into a resilient revenue stream (less volatile than trading fees).

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🎯Bottom Line: USDC trades some margin for premier, high-volume real estate in perpetuals/DeFi trading—the exact use case driving massive on-chain dollar demand. This cements its lead in the evolving stablecoin wars, especially as platforms demand better economics. The deal highlights shifting power dynamics: big platforms now negotiate hard for yield share.

 

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Handshake Wants to Be the Front Door to Bittensor’s Agent Economy

In this Beanstock interview, Harry Jackson of Subnet 58 (Handshake) lays out a thesis that’s worth understanding even if you never buy a single SN58 alpha token. He also explained where Bittensor’s agentic layer is heading.

We wrote the high-value distillation:

The one-line thesis

Handshake wants to be the front door to the agent economy on Bittensor. The Amazon-like gateway where AI agents discover, pay for, and stack together skills from across all 128 subnets.

Why this matters now
  • There’s a critical distinction Harry emphasized: AI is intelligence, but agents need tooling. An LLM without payment rails, plugins, and workflow infrastructure is “a young person trying to cut a tree down with a pen knife.”
  • Agent-to-agent commerce is on the edge of going viral. Harry’s prediction for the tipping point: a woman in her 40s lets her agent do her shopping end-to-end (research, stock check, autonomous payment), posts it to social media, and it becomes the “four-minute mile” moment everyone copies.
  • Bittensor is uniquely positioned because agents don’t care about marketing or pretty UIs. They only care about best-in-class products and services. That’s exactly what Bittensor’s 128 subnets produce.

The product reality (what’s currently shipping)

  • Handshake is live with paying users generating a few thousand USD in revenue as of today. The business model: 2% of every transaction on the platform.
  • The flywheel is Amazon-like: better skills → more agents arrive → providers get distribution → more skills get added → cycle repeats.
  • The headline product on the way is Axiom. This is an agent that trades subnets while you sleep. Built around the realization that what the Bittensor community wants from agents isn’t generic skills; it’s more TAO. Each “hole” they find in the agent becomes a new tradeable skill on the marketplace.

The investment angles (read these carefully)

  • The moat is data, not distribution. Every workflow run by an agent generates failure data, success data, payment data. No outside competitor can replicate that without running the marketplace itself.
  • The metric Harry tells you to judge them on is revenue. Not agent count. Not user count. Revenue, which is publicly visible on-chain via the front page of their site. He’s basically inviting investors to hold him to it.

  • The pitch for emissions: the biggest TAM in Bittensor is the agent market, and Handshake is the most integrated subnet, meaning if Handshake wins, the subnets it routes to all win too. Bullish on agents + bullish on Bittensor = bullish on Handshake by transitive logic.

Where Harry stands on the Conviction

  • On the conviction upgrade and locked alpha: he’s fine with it. Handshake is a revenue-focused company, so locked alpha isn’t a survival issue. He acknowledges it’ll be harder on research-stage subnets that need to raise external capital, but argues most subnet founders are thinking long-term, not short-term extraction.
  • On the broader vibe: he just got back from Bittensor events in Spain and San Francisco. He observed that the overwhelming reality of the ecosystem is people working hard to build the best products. “It’d be a lot easier in some ways to build a company outside of Bittensor.” The only reason to do it on Bittensor is if you actually want the moonshot.

Full interview below:

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🚨The State Of Bittensor (TAO)🚨
Greg Schvey | COO at Yuma Group

Last week at the @YumaGroup Summit I had the opportunity to present on The State of Bittensor. That presentation is in the thread below. If you choose to read it, I'd ask that you keep the following three things in mind:

  1. This is just one guy's view of what was the most relevant for a 25-minute talk; a difficult filter for such a dynamic industry.
  2. The slides were designed to supplement a talk; I've done my best to replicate what I recall of the talk in the accompanying X posts.
  3. The topic of the Summit was "The Tipping Point" - a candid assessment of what could lead to Bittensor's breakout success and what evidence we see of that today - which also thematically anchored this presentation.

Let's dive in:

We are in the most important race in human history – the race for intelligence itself. AI has advanced beyond the point of no return. As an example of what I mean: Ramp is a widely used financial services platform for companies. They looked at spending and revenue across their clients since the launch of ChatGPT: Companies who did not spend on AI have had flat revenue for the last three years. The top quartile of AI spenders have grown revenue by more than 100%.

We are already at the point where investing in AI is a matter of survival. But what exactly are we getting for the hundreds of billions being spent? Right now, its overwhelmingly going to corporations who have repeatedly shown they don’t have our best interest in mind.

 

 

Claude Opus 4.6 – the leading deep thinking model, had a measured hallucination rate of 16% in February. Then, without telling anyone, Anthropic throttled its reasoning – presumably to reduce GPU utilization – and didn’t tell anyone. Hallucinations climbed to 33% - a 98% increase.

They only admitted it after third party benchmarking proved it. And they were still charging everyone at the same price the whole time. Even since my talk last week, they've supposedly been found to be throttling people simply because HERMES.md was in their commits. You may say, "well there are solid open source options..."

 

 

Yes, open source models have gotten very good, but they’re not immune to capture either. Try asking DeepSeek what happened in Tiananmen Square and then let me know if that’s the intelligence you want to trust.

 

 

This needs to be addressed right now or it will be too late. To give you a sense of what I mean, this is a chart of the total annual commits on GitHub. That’s 500% growth since the launch of ChatGPT in 2022. From 200M per year to a one billion in 2025. 2026 is on track for **14 billion** The genie is out of the bottle – there is no going back; we are already at the exponential inflection point.

This reminds me of many years ago: Bitcoin shined a light on how much our rights were impacted when we became dependent on private companies to run our day-to-day lives.

Your right to privacy? That doesn’t extend to your bank account. Your "money" is just a ledger at a private company, available for interrogation and suspension at any time. Bitcoin gave us back the sovereignty of our wealth.

Similarly, we’ve depended on things like privacy of our medical records and attorney client privilege for our entire lives. What do you think is going to happen when a private company’s servers are giving you legal and medical advice? Who are you going to trust for that intelligence? The company that lobotomized its top model? The model constrained by the foreign governments? As I said at the beginning, we’re in the most important race in human history and Bittensor well may be our best shot at winning.

 

 

One of the things about having a different model to produce intelligence is it requires an economic system suited to it. Subnets are the intelligence and economic engines that drive Bittensor’s value. That’s why the Summit was themed around The Tipping Point: understanding how subnets can reach breakout success and what we can do to help.

To summarize Bittensor's intelligence economics: miners create intelligence for which they earn subnet tokens. In many cases they sell those tokens to fund operations, putting downward pressure on token prices and decreasing the incentive to mine (similar to bitcoin). In parallel, if that intelligence is being used to generate real world value, one of the parties who benefits from that value (e.g. the Operator monetizing it, institutions using intelligence commodities to advance their research, etc.) can buy the subnet tokens to keep token prices elevated and sustain the miner incentive.

Investors get to participate in this process, often supporting token prices before the commercial value of intelligence is realized, and/or subsequently holding an asset that parties gaining fundamental value from the intelligence (eg Operator or others) will need to purchase at some point in the future if they want to maintain sufficient incentives for the intelligence machine to continue running.

For Bittensor to succeed, this value loop has to work. So, to understand the State of Bittensor, we have to take a look at how that’s going today and what that means for the network overall.

 

 

One of the many unique features of Bittensor is that subnets are native to the protocol. That is not the case on most crypto networks where the true utility lives in smart contracts with no direct tie to network value.

As an example, Polymarket has seen 800% growth in volume this year. Users can bet any arbitrarily large amount of value on Polymarket for a few cents of network fees. There is nothing tying that to value of the network’s native token, which is down 80% over the same period as Polymarket’s amazing success.

 

 

Conversely, Bittensor subnets are intrinsically linked to $TAO. If you want $1,000 worth of subnet exposure, you first need $1,000 of TAO. We analyzed subnet pool data surrounding the announcement of @tplr_ai's recent training run and normalized across them by indexing them to a starting level of 100.

As shown by the orange line, there was no material change in pool size for non-Templar subnets over the observation period. There was however, major inflow into Templar’s pool. Given Bittensor’s unique network model, we saw a direct correlation to the change in TAO price over the same period. As value flows into subnets, the whole network benefits. A rising boat lifts the tide, so to speak.

 

 

That can go both ways. When Sam left, we saw something similar in reverse; as value was exfiltrated from the network, it started in Covenant subnets and dragged TAO down with it. You know what else we saw in the data though? For all of the noise about concerns of Bittensor’s future, the other subnet pools were mostly unchanged.

The event was interesting because it reminded me of the early days of bitcoin: people would say Bitcoin was only used by drug dealers on the internet. I'd stare at them aghast because in the same breath they told me that an open, permissionless network was used to reliably move money anywhere in the world in minutes by the most untrustworthy people on the planet and yet they didn't understand how the technical feat required to achieve that would create tremendous value.

The Covenant situation is similar: people were concerned about the operator's exit, rather than realizing the only reason we care is because a ground-breaking technical innovation was achieved. But even bigger than that: Bittensor has 128 subnets currently, each striving to generate value for themselves and, transitively, the network as well.

 

 

And we’re seeing that occur – Templar was not unique in that regard. The same pattern emerged around the Intel publication on @TargonCompute. The non-Targon pools remained largely unchanged. Targon saw heavy inflows. TAO price climbed with it.

Again: rising boats lift the tide. And there are many boats in Bittensor right now.

 

 

We’re seeing major technical innovations at an increasing rate.

Just a few examples from the last couple weeks:

@QuasarModels just announced a custom attention architecture targeting 5M token context windows.
 
@IOTA_SN9 developed a technique that compresses data flowing between distributed GPUs by 128x with little to no loss in training quality, increasing viability of training large AI models across internet-connected machines worldwide.
 
We're seeing the building blocks start to form whereby competitive large generalized models can eventually be built. In the meantime, we're also witnessing more targeted, niche players start to pull ahead in their respective fields.
 
During the presentation, I gave the example of @resilabsai achieving 90% accuracy on their home valuation model, making it the most performant open source model and quickly approaching state of the art. Quite literally as I was explaining this during the talk, @markjeffrey pointed out they had just achieved 98% accuracy.
 
In the time between when I prepared the presentation and actually presented, they went from best open source to at or near state of the art - only further highlighting the unique value of Bittensor's open, competitive intelligence creation cycle.
 
 
And the tech that’s being built on Bittensor is getting real attention from serious players. Again, just a few examples of many: Harvard partnered with @Chutes on research about AI inference efficiency. Valeo – an auto company with $20B in annual revenue – is working with @natix on an AI model for self-driving cars. @zeussubnet- the weather forecasting subnet, is the only party in the world allowed to use data WeatherXM’s network of global weather sensors for commercial purposes. And there are in fact many subnets already commercializing their intelligence.
 
 
 
Most of us are already aware of Chutes seven-figure ARR, but a few other examples:
 
@LeadpoetAI– which uses their Bittensor subnet to source sales leads, announced earlier this year that they crossed $1M ARR
 
@Bitcast_network– the content creation platform built on their subnet competition – is already operating profitably
 
@lium_io– a hardware subnet – has bought more than 4,000 TAO worth of their token
 
Remember the economic model I outlined earlier; we’re seeing real evidence that it’s starting to work across many subnets. Intelligence built on Bittensor, capturing value in the real economy, and bringing it back into the network.
 
Action shot of this slide courtesy of @Tom_dot_b
 
 
That’s why when we look at Bittensor we like to look at Total Network Value (TNV);
$TAO market cap is only part of the story in Bittensor. TNV = market cap of TAO + market cap of subnets – tao in the pools [as not to double count] The actual value of this network is already higher than most people realize. And notably, subnets make up an increasing proportion of TNV – recently crossing 35% - as value continues to flow into the pools.
 
 
 
Interestingly, we recently noticed a change in TNV: In particular, despite all the volatility in TAO, the dramatic subnet issuance curves, etc. - the combined subnet market cap had been remarkably consistent around $750 million for most of the last year, until recently.
 
It’s nearly doubled over the last few months – a clear breakout in the trend. If you were looking for Tipping Point, it might look something like this...
 
 
 
I hear a lot that that value is relatively concentrated in the largest subnets. And the market cap distribution does indeed reflect that, but that’s not necessarily a bad thing.
 
 
 
This is the market cap distribution of the S&P 500. Many healthy economic systems tend towards Pareto distributions. And so what if some subnets are worth more? As we showed earlier, this is an ecosystem that will win or lose *together* And we’re seeing that play out every day.
 
 
 
We track announcements of subnets utilizing each others infrastructure and intelligence. Just as an example, we identified at least eight subnets who announced that they use Chutes for inference. But we have dozens of similar examples of cross-subnet collaboration across many subnets like
 
What’s notable about this:
 
1. Collaboration seems to be happening at an increasing pace as subnets continue to mature and build out contiguous pipelines of AI infrastructure
 
2. Keeping money circulating within an economy creates a money multiplier. Capital circulating within a single economy without leaving creates economic value for each party it passes through, without having to bring in new capital. That’s uniquely possible here because of the diversity of infrastructure built on Bittensor.
 
This network is not 128 discrete growth drivers; it’s increasingly functioning as an interconnected graph, which has substantially more stickiness and value And the pace is about to increase dramatically:
 
 
 
We’re starting to see increasing agents operating on Bittensor: subnets mined by agents, subnets operated by agents...
 
Consider the Bittensor value flywheel:
 
-An intelligence goal is established
-Miners compete to achieve the goal
-That produces intelligence
-Intelligence generates value
 
That’s happening today, as we’ve seen earlier in this discussion.
 
As agents get more capable, that flywheel spins faster and faster. Permissionless entry means any agent can compete. Protocol-native economic incentives mean good work gets rewarded. Bittensor is uniquely advantaged for agentic speed over guarded, centralized alternatives with corporate procurement cycles.
 
That also means exploits will be found faster. But, it also means solutions that harden the network against them will be found faster as well.
 
Accordingly the impact of the network primitives – incentives, accessibility, governance, security, reliability, and all the infrastructure we’re building around the network - have an exponentially larger impact. It is critical that we get these right. The time to nail this, is right now. If we don’t someone else will.
 
 
 
The good news is, for now, Bittensor seems to be in the lead The 30-day moving average of Daily active wallets just crossed a record, approaching 10,000 Up 100% just in the last year.
 
 
 
We’re also seeing subnet ownership increasingly diversify and distribute. The median number of holders of subnet tokens at 2,000 is a 10x increase since the dtao launch a year ago. And at Yuma, we spend a lot of effort and resources to help broaden that access.
 
 
 
Yuma currently partners with 16 custodian and wallet providers to bring Bittensor access to the masses As an institutional-grade validator, the relationships and service we offer give them the confidence to make TAO staking available to millions of end users.
 
During the Summit, we announced that BitGo’s clients will now have access to subnet token staking through our partnership, making subnet investing available to customers of one of the world’s largest custodians.
 
 
 
We also help people gain access to subnets via investment vehicles. The Yuma Composite Fund gives investors access to a market-cap weighted portfolio of subnets through traditional investment structures. The Yuma Large Cap Fund gives investors concentrated exposure to Bittensor's largest subnets.
 
Our institutional asset management team handles everything from initial subnet token purchases, to portfolio rebalancing, custody, and reporting. The appeal for institutions is obvious, but even for the Bittensor native, it’s an amazingly simple way to get access to a broadly diversified portfolio, rebalanced regularly.
 
Between the breakout performance of subnets, the attractive staking rewards, and benefits of diversification, the Yuma funds have outperformed TAO materially year to date [as of when the presentation was created] Nearly 3x outperformance relative to TAO.
 
 
 
And last but definitely not least, our subnet accelerator has helped a wide range of companies access Bittensor. We help them acquire subnet slots, design incentives, provide marketing assistance, review pitch decks, make introductions to other investors, etc. At Yuma we deeply believe in the power of subnets and have helped many of the network's leading intelligence providers start and succeed.
 
 
 
Disclaimer: For informational purposes only.  Nothing herein should be construed as financial, investment, legal, or tax advice.  This material does not constitute an offer to sell or a solicitation of an offer to buy any securities or tokens.  Investing in digital assets involves significant risk, including the potential loss of principal.  Subnet tokens do not represent equity or ownership interests in any entity.  Performance comparisons and index references are illustrative only and not indicative of future results.  Charts and indices are based on methodologies and assumptions that may change and may not reflect actual market conditions or liquidity.
 

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