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How banks and businesses can prep for the FedNow instant-payment system
July 04, 2023
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FedNow will be the first of its kind central bank instant payment system in the US and could revolutionize how businesses and consumers pay and receive money. But not everyone is prepared for it.

After a pilot program that lasted six months, the US Federal Reserve System plans to launch its FedNow real-time payment system in July. But many banks and businesses could be caught flatfooted when it launches.

The central bank’s payment and settlement rail is designed to increase liquidity, especially for small businesses and supply chain participants who can get paid instantly for goods and services. It also creates a new way for employees, especially gig and hourly-rate employees, to get paid more quickly and frequently — perhaps every day.

The new system will allow banks, businesses, and consumers to send and receive payments in about 10 seconds anytime, any day. As with other payment systems, there are fees associated with the service, and banks will have to decide who foots the bill — merchants, consumers, neither, or both.

"Banks aren't 24/7 in their operations today," said Debbie Buckland, a director analyst in financial services for Gartner Research. "So, they'll have to have procedures set up to accomodate that liquidity management that happens in the middle of the night. Becasue if you give your customers the ability to do their banking in the middle of the night, they're going to do it."

Initally, FedNow will only let banks receive payments; the ability to send payments — and for consumers to be able to identify themselves by phone number and email only, as Venmo now allows — is expected to come later.

"The send part takes a little more work," Buckland said. "You have to have a vehicle for customers — both consumers and businesses — to initiate a real-time payment. That means adding that functionality to their digital and mobile channels. You need to be able to upgrade your product or turn on that service."

For consumers, the process is far easier. Those who want an instantaneous way to make payments, whether it's for a retail product or a mortgage installment, will need to download an app once their financial services provider offers it. 

There are two primary differences between FedNow and traditional payment systems such as automated clearinghouse services (ACH) and wire transfers, such as Western Union or the Fed’s own Fedwire service. ACH transactions settle just once at the end of a business day, and they settle in batches — not individually. Wire transfers are faster, but charge higher user fees. Wires are also not used for multiple or traditional batch transactions, and they’re still not real time; they can take several minutes or several days for remittances or cross-border payments.

For consumers not familiar with the ACH payment system, it's the funds transfer system used when employees sign up for direct deposit, make eChecks payments or authorize automatic payments to be deducted from their banking accounts.

FedNow is not a replacement for existing ACH and wire networks, but an additional payment option when real-time payments and settlements are needed.

Existing payment systems will be challenged by FedNow’s efficiency, and while the impact will be significant, it’s not likely to supplant other systems, according to Aaron Press, research director for Worldwide Payment Strategies at IDC.

“Electronic payments are growing fast enough in general that, even if other systems lose share, they won’t necessarily stop growing,” Press said. “But, they’re not taking this standing still. Every other payment system [operator] is thinking about how to position against FedNow. Even the [Federal Reserve] is thinking about the impact of FedNow on its own Fedwire service.”

The new system also means banks that adopt it will have to adjust to a 24/7 world where merchants or consumers might want to transfer funds between different third-party accounts at odd hours of the day or night. It also means banks won’t have a full business day, as they do now, to go through know-your-customer,  anti-money laundering, and anti-fraud processes. Those processes will have to be automated for real-time discovery.

For many banks, 'a real shift'

“For a lot of banks, this is a real shift in operational thinking,” Press said. “The margin of error is significantly smaller. The time to do things manually is essentially gone. We’re hearing a lot from banks and vendors who offer automation that there’s an increasing demand for automating a lot of tasks and workflows to better handle real-time messages.”

From a corporate standpoint, the use of FedNow is not just about being able to pay faster; it can be about paying slower or determining the last possible moment a payment must go out. For businesses that pay millions of dollars day in and out, holding onto money until it must be paid can amount to earnings.

“If you have an invoice with advantageous terms to pay at a certain time, you want to submit at last possible moment,” Press said. “FedNow gives you a lot of control over when precisely you pay. If those same invoices are paid over ACH, there’s some uncertainty to that.”

Retail merchants and others who want to offer consumers an instant-payment option will have to work with their payment providers, such as FISFiservJack Henry and Q2 to ensure the point-of-sales (POS) system has the proper APIs and ensure their systems are properly connected.

The FedNow instant-payment system will use the new ISO 20022 global financial messaging standard, meaning banks will need to be sure they can submit messages in that format. Many banks may already have the ability to submit messages through ISO 20022, because FedNow is actually the second real-time payment system.

In 2017, a consortium of banks called The Clearing House launched the Realtime Payments network or TCH RTP. But the network failed to achieve wide adoption because smaller banks were wary of using a payment system backed by their larger competitors. However, TCH RTP does use the ISO 20022 standard.

At its core, FedNow serves as an interbank instant-payment infrastructure. Banks, credit unions, and other eligible institutions have accounts at the Federal Reserve that allow them to hold reserves. Banks pay each other by transferring reserves from the paying bank’s Fed account to the receiving bank’s Fed account using several interbank payment options. FedNow is a new addition to the suite of options to make such transfers.

Sam Aarons, co-founder and CTO of middleware payments provider Modern Treasury, said the payments industry is excited about the promise of FedNow. Modern Treasury provides the translation layer for corporate accounting systems to transfer funds over a network using API calls systems. Bank systems are sorely outdated, however, and still rely on technology from the 1970s and 1980s.

"That’s also why Modern Treasury is excited about FedNow, because it is going to force a lot of people into figuring out what is a modern technology stack for payments," Aarons said. "As I like to say, what is a business day if money can arrive and leave your bank account 24/7, 365 [days a year]? Are you going to have accountants stay up at midnight to close the books? You need to change the software for your company that’s looking at the precipice of that."

While integration with FedNow is one issue, moving payment systems to be real-time is the bigger problem, according to Aarons.

"Where we usually see the hiccups is in fraud checking and [Know Your Customer]," he said. "A lot of those systems throw up a red flag when there's a questionable transaction, and then you have a day and a human can look at this payment. When you’re trying to send out payments in 10 seconds, you have to automate that or make your decision quickly. 'Yes, I can send this out,' or 'No, I can’t send this out.'"

A gig worker’s dream

One advantage to using FedNow is that organizations who employ gig or hourly workers can pay them at the end of a shift because the money transfers instantaneously. Today, when a gig worker is paid, it’s through a credited system and the actual money doesn’t transfer from bank to merchant until the next day. Gig workers, however, will need a bank account to be paid, versus a payroll debit card as many use today.

The United States is a follower in rolling out a central bank-based instant payment system. Forty to 50 other countries have already implemented same-day payment systems — and their uptake was fast, quickly reaching nearly ubiquitous use.

For example, Brazil’s Central Bank launched the Pix instant payment system in 2020; within a year, it had reached more than 100 million users and today it serves more than 150 million people. That suggests FedNow will be quickly adopted across banking and business sectors.

There’s a good reason for the quick uptake. When businesses are making thousands of payments a day to distributors and suppliers, it behooves everyone to get their money faster. Like Brazil's Pix, FedNow will allow companies to pay vendors, contractors, or any business partner instantly. And it will enable better cash-flow management because funds are instantly available, allowing for faster reinvestment.

Because most US companies now use the ACH system to make and receive payments, they experience next-day clearing for batch transfers, or they pay extraordinarily high fees for faster wire transfers

"FedNow represents huge advances for the businesses of today that are moving money around," Aarons said. “FedNow is an opportunity to deliver a great consumer experience, but also one for banks as well. It’s a really good opportunity for the US to catch up with the rest of the world.

"I think there's going to be a big lift-off when FedNow launches, and the hope is to get to universal coverage that we have with ACH and wire," Aarons said.

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Most people are not ready for this answer.

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Read that again.

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That is not a roadmap item. That is the original vision finally becoming technically possible because of where AI agents are right now.

Here is what makes this different from every other AI crypto narrative.

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In other words: The way you experience color may be deeply rooted in geometry.

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4 – Treats autoimmune diseases such as: rheumatoid arthritis, ankylosing spondylitis, fibromyalgia, psoriasis, Crohn's disease, allergic rhinitis.

5 – Improves immunity levels in cancer patients and treats Simple Herpes and Herpes Zoster, plus reduces the frequency of sinusitis and ...

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

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

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

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Custom AI assistants that print money in your sleep? 🔜

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

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💠 'Based Agent' enables creation of custom AI agents
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👉 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
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🚨 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.

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Anyone else find the timing of this a bit late? 🤔

🚨 Bank of America warns it may be time to take profits as markets turn red 🚨

Bank of America is telling investors the recent market setup may favor locking in gains instead of chasing more upside. The note arrives as sentiment softens and risk assets cool off after a strong run.

🔑 Key highlights:

🔹️ Bank of America says the current market environment may be a good time to take profits.

🔹️ The warning comes as markets flash red and risk appetite weakens.

🔹️ Investors are being urged to reassess exposure after a strong rally.

🔹️ The call reflects growing caution around near-term market momentum.

🎯 Bottom Line: Bank of America’s message is simple: with markets turning softer, trimming profits may be the smarter move.

https://finance.yahoo.com/markets/stocks/articles/bofa-warns-time-profits-red-170459030.html

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Google $GOOGL and Nvidia $NVDA are considering Intel as a backup chip manufacturer. 🔊 🖥

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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.

  • Deep on-chain integration: Builds on prior Native USDC + CCTP launches. Coinbase's involvement adds fiat on/off-ramps and institutional trust. USDC was already dominant (~95% of stables on the platform); this formalizes and expands it.
  • Regulatory and brand alignment: Ties USDC to a high-profile, high-volume platform at a time when USDC has gained transaction volume momentum (surpassing USDT in some months post-regulatory clarity like GENIUS). It strengthens USDC's positioning vs. USDT (which dominates on centralized venues like Binance).
  • 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).

For Circle/Coinbase, they give up a big share of yield (analysts estimate $60–80M hit to combined EBITDA) but retain/expand USDC's role as the backbone stable on a major platform. It's a strategic distribution win over building or competing with a new native coin.

 
🎯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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