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🚨The U.S. government stole $50 trillion of taxpayer money🚨

Former Assistant Secretary of HUD Catherine Austin Fitts describes how the U.S. government stole $50 trillion of taxpayer money, used Epstein to launder it, and then poisoned Americans to shorten their lifespans:

"We hit the Great Financial Crisis, and then we have $29 trillion of bailouts. So we had $21 trillion of missing money from the US government, and now we have $29 trillion in bailouts. That's $50 trillion. Okay? So we're talking about putting the United States in a debt trap, and somebody walks off with $50 trillion...

"[And] Jeffrey Epstein made his first visit to the Clinton White House arranged by Bob Rubin, who was the Secretary of Treasury when the money started to go missing. Okay? And at the time he was national economic adviser. [So] I believe Jeffrey Epstein ran the SWIFT system on the missing money, is my guess what he was up to. And... the sex was just part of creating related control files that they used."

This clip of Fitts, a former Assistant Secretary of Housing and Urban Development, investment banker, and founder of the Solari Report (
@solari_the
), and combat correspondent Michael Yon (
@Michael_Yon
), as well as journalist Masako Ganaha (
@ganaha_masako
), is taken from a video posted to Yon's eponymous YouTube channel on February 16, 2026.

----------------Partial transcription of clip---------------

"And it's important to understand that we're not talking, I mean on one hand we're talking about a financial coup. So let me show you our. I just made a new chart on what I call the financial coup because I want to put a little history to this thing.

"And we went through this the other night, you know, what happened in the mid-90s. We, had at the end of the, all the fraud during the '80s, we had a big reform effort and one of, part of the reform, and I know because I wrote it was, it was basically a series of reforms we instituted at HUD and then helped OMB take them government wide.

"But it required the covered agencies, the top 24 agencies, to produce audited financial statements. So a process began where the government started to confess that they couldn't produce audited financial statements, but they would explain what their undocumentable adjustments were, which was transactions that weren't documented, that weren't, you know, that made it impossible for them to produce financial statements.

"The people who ran the financial system tried to come up with a plan to balance the budget, including the retirement, you know, Social Security and retirement. And that led to a big bust up in 1995 when the budget deal cratered. And this event was, or this period was described to me by one of the largest pension fund guys in the country. He said, they've given up on the country. They're moving all the money out, starting this fall.

"He told me that in April '96. And that's when enormous amounts of money started to disappear from the federal government. So you're increasing the debt and then money's disappearing out the back door. So think of the treasury as a laundry device that's sucking money. You know, the treasury gives bonds to the pension funds, gets money, the money disappears out the back door.

"Now the taxpayers are liable to the pension funds. It's just a laundry device, okay? Anyway, so if you look at this chart, what you'll see is by 9/11 there was, you know, trillions of dollars missing from HUD and DOD. DOD is the big one.

"And, in fact, Rumsfeld, the Secretary of Defense, stood up and said, you know, the DOD is missing $2.3 trillion. It's worse than terrorism. It's a greater national security threat than terrorism. Of course we know what happened with 9/11, the Patriot Act passes. But money keeps going missing until finally in 2015, $6.5 trillion was missing.

"And Dr. Mark Skidmore, who's a budget expert professor at MSU heard me talking about it and said, 'Oh, she has to be wrong. That's impossible. The army can't be missing many multiples of its budget one year.'

"Well, actually, if you look at how the federal credit is managed, can be. And and so he called me, he went to the financial statements and discovered I was right and he called me. And as a result he did a complete survey that was finished in 2017. And he and his students, I had the number up to $12 trillion missing. He found another $9 trillion

"And so $21 trillion as of 2017, guess what the outstanding debt of the United States was when he published his report? $21 trillion. So imagine, you know, if you think it's a scam, we use debt to issue the currency, when we could just issue the currency without debt. It's really a scam when the money you raise with the debt disappears out the back door.

"[And] it's a no-brainer. All you have to do is issue $21 trillion in treasuries and you finance it. And then you steal it.

"So, if you go back to this chart, in 1993, Jeffrey Epstein made his first visit to the Clinton White House arranged by Bob Rubin, who was the Secretary of Treasury when the money started go missing. Okay? And at the time he was national economic adviser. I believe Jeffrey Epstein ran the SWIFT system on the missing money, is my guess what he was up to. And the, you know, the sex was just part of creating related control files that they used.

"But in 1995, 1994, the New York Fed and the Fed, which had been members of the BIS from the beginning, had taken the position that being a shareholder was conflict of interest. And they reversed that position in 1994. They bought shares in the BIS. And, you know, my guess, this is a guess, I think, you know, the BIS has sovereign immunity and can move money and hold it on its balance sheet behind, in secrecy, behind sovereign immunity.

"And I think the perfect way to launder this money would have been through Fed to the BIS is my guess. But there are thousands. If you look at the ways that they could have laundered this money out, it's like the joy of cooking. There are hundreds of recipes.

"And with $21 trillion, you'd need many different ways. For example, my guess is Enron was one of the Laundromats. But I think also if you look at the, money disappearing, then suddenly you have all these sovereign nations around the world who are making huge donations to the Clinton Foundation. And my question is, did that money just get pulled out of HUD, moved through the BIS, over to Norway, and they just give it back?

"Okay, so anyway, whatever. We hit the Great Financial Crisis, and then we have $29 trillion of bailouts. So we had $21 trillion of missing money from the US government, and now we have $29 trillion in bailouts. That's $50 trillion. Okay? So we're talking about putting the United States in a debt trap, and somebody walks off with $50 trillion.

"Now there are many. You know, we could have a long conversation about where that money might have gone. But one of the things to understand is coming into 2019 in the pandemic because you have, instead of putting the retirement systems on a stable foot, you've decided instead you're going to give up on the country and you're going to take the money and run. It's like a bank robbery.

"But now the retirement systems are coming due. What are you going to do? And it's pretty clear what happened next. The first thing they did was they got rid of Epstein. That's the second thing they did was they reviewed the Going Direct Reset, and they started into a reset, a central banking reset. And that reset dramatically lowered life expectancy, which had been dropping ever since 1997 when the financial coup started.

"But this is all part of, you put the government in a debt trap. You've moved all the money out someplace else, and those assets and that money is someplace else. So now the government doesn't have the assets it's got, you know, but it owes the debt. You now have it in a debt trap. And now essentially what you do is you turn around to the population, say there's no money, but you weaken the population dramatically and you start depopulating, right?"

00:08:07
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🧬 BIG WHITE LIE BY BIG PHARMA 🧬

They don't want you healthy, But they don't want you dead either. They just want you sick!

00:01:56
🩺🧠 Top Brain Surgeon Instantly Banned After Revealing This❗️

Dr. Jack Kruse joins me to discuss the problem with modern centralized medicine, 👉the importance of light, water, and magnetism, what we can learn from ancient health practices, how nature is innovating life, why the average American is on 12 drugs, methylene blue and light, and how humans are meant to live in the modern age.

Dr. Jack Kruse is a neurosurgeon, quantum clinician, author and the CEO of Kruse Longevity Center.

Full Video Presentation: Dr. Jack Kruse / Nourish Vermont 2017
https://youtu.be/d7qjh4BIGbc?si=EMZgfVF1Cm7kY7Zh

Continued Learning:👇📚
Optimize Your Health in the Modern World with Dr. Jack Kruse
https://youtu.be/mYMUiOMkKMM?si=OE7uQn0T2LPYhZ4Y

// OUTLINE //
0:00 - WiM Intro
1:13 - Light, Water, and Magnetism
11:32 - Light and Water
15:11 - Electromagnetism is like the Alphabet
21:27 - The Farm at Okefenokee
22:37 - Heart and Soil Supplements
23:37 - Helping Lightning Startups with In Wolf's Clothing
24:29 - Fractal Layers of Nature
26:16 - The Farce of Centralized Medicine
29:13 - What Can We...

00:20:24
🚨Beware Authentication Scam!!!🚨

Scammers have found a new way to exploit those "Verify you're human" captchas. If a prompt asks you to type in a series of commands (like Windows + R followed by Control V), DO NOT DO IT.

This isn't a security check—it's a trick to force you to download and run malware on your device. 💻☣️

Once they have your credentials, they can:
📧 Steal your email account.
🏦 Access your banking and shopping info.

How to stay safe:
✅ Real human verification will never ask you to type in complex system commands. They'll only ask for letters, numbers, or to click on a picture.
✅ If you’ve already done this, disconnect from the internet immediately, run a malware scan from a different device, and update your passwords. 🛡️

Stay vigilant out there! 🛡️⚠️

00:02:29
🚨 Chutes is being framed as a Hyperliquid-style breakout for decentralized AI inference, with live revenue, verified GPU infrastructure, and a direct challenge to centralized cloud AI 🚨

Chutes is gaining attention as a decentralized AI inference platform that claims to combine real usage, cryptographic verification, confidential computing, and open-source infrastructure into a working production system. The thesis is simple: instead of trusting Big Tech clouds with AI workloads, users get a distributed compute layer built around verification and privacy.

🔑 Key points

🔹 Chutes is live in production and reportedly scaled to more than 1,170 active GPU nodes, including large numbers of Nvidia H200s and Blackwell-class hardware.

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

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

🔹 Chutes is using post-quantum cryptography, trusted execution environments, and Nvidia confidential ...

🚨 Chutes is being framed as a Hyperliquid-style breakout for decentralized AI inference, with live revenue, verified GPU infrastructure, and a direct challenge to centralized cloud AI 🚨
🚨 JPMorgan’s criticism of the CLARITY Act is fueling a fresh power struggle over who gets to write America’s crypto rules 🚨

A new clash is emerging between legacy finance and crypto legislation after JPMorgan CEO Jamie Dimon reportedly warned that the CLARITY Act could let crypto firms offer bank-like products without bank-level oversight. The dispute is quickly turning into a larger fight over regulation, competitiveness, and who controls the future architecture of digital finance in the United States.

🔑 Key points

🔹 Jamie Dimon reportedly called the CLARITY Act a threat to the financial system, arguing it could allow crypto firms to offer yield-like products while avoiding the capital, reserve, and oversight burdens traditional banks face.

🔹 Senator Cynthia Lummis pushed back publicly, framing the issue as a global strategic race and warning that if the U.S. does not set digital asset standards, other powers will.

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

🚨 JPMorgan’s criticism of the CLARITY Act is fueling a fresh power struggle over who gets to write America’s crypto rules 🚨
👉 Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? 🔜

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

👉 Here’s what you need to know:

💠 'Based Agent' enables creation of custom AI agents
💠 Users set up personalized agents in < 3 minutes
💠 Equipped w/ crypto wallet and on-chain functions
💠 Capable of completing trades, swaps, and staking
💠 Integrates with Coinbase’s SDK, OpenAI, & Replit

👉 What this means for the future of Crypto:

1. Open Access: Democratized access to advanced trading
2. Automated Txns: Complex trades + streamlined on-chain activity
3. AI Dominance: Est ~80% of crypto 👉txns done by AI agents by 2025

🚨 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.

👉 Coinbase just launched an AI agent for Crypto Trading
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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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