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House, Senate Democrats push regulators to demand data from Bitcoin miners

A group of Congress members including US Sen. Elizabeth Warren and US Rep. Jared Huffman sent a letter to the Department of Energy (DOE) and Environmental Protection Agency (EPA) Friday asking regulators to require crypto miners to report information about emissions and energy use.

The legislators also published written responses from seven miners that they had reached out to requesting information about their energy use.

"None of the companies provided full and complete information in response to our questions," the letter to regulators said. In it, legislators asked the EPA and the DOE to "work together to require emissions and energy use reporting by cryptominers."

According to the information compiled by the lawmakers, those miners use a combined total of 1,045 megawatts and plan to increase the number by at least 2,399 megawatts "in the next few years." Congress members called these results "disturbing" and stated that miners accounted for a large and "rapidly growing" amount of carbon emissions.

However, they also said that "little is known about the full scope of cryptomining activity."

"(It's) imperative that your agencies work together to address the lack of information about cryptomining’s energy use and environmental impacts, and use all available authorities at your disposal, such as Section 114 of the Clean Air Act," they wrote.

Authority to regulate

In the letter, Congress members asked regulators for clarification on whether they actually have the authority to require that type of disclosure from crypto miners.

The reach that regulators can have in such matters has been put into question recently, following a Supreme Court decision at the end of June to limit the Environmental Protection Agency’s (EPA) authority to regulate greenhouse gas emissions from power plants.

Huffman told The Block that nothing in the Supreme Court's decision touched on the agency's authority to investigate, under section 114 of the Clean Air Act. Therefore, he believes it would not impact the EPA's ability to act in this particular case.

"I would hope that they would choose to go further than just an investigation," he said. "I would hope that they would choose to try to set some standards and exercise their authority to address those impacts. The Supreme Court decision did not take away all their authority, but it constrained how they exercised in certain cases that have a broad national economic impact."

Going forward, agencies might face resistance from the courts when using old laws to regulate new industries such as bitcoin mining or crypto in general.

“It's going to put more on Congress's shoulders to regulate, to issue new statutory provisions,” Kevin Minoli, former counsel for the EPA and a laser at Alston & Bird, told The Block.

Essentially, the court found that under a heightened standard of review called the major questions doctrine there wasn't a clear statement of congressional authority in the Clean Air Act for the EPA to adopt the type of regulation in that case. Typically, agencies have been subjected to the more permissive Chevron doctrine, which states that as long as regulations don’t conflict with the language of a statute, then agencies can fill in any gaps.

It’s unlikely that this decision will have a significant and immediate impact on already existing regulations, Minoli argued. However, that’s not to say that people won’t try to challenge them using this case as support.

“The question is when will the courts be able to apply that standard and when will they not,” Minoli said. “The court will look for is: ‘was there a clear expression of congressional authorization for the regulation that was adopted?’”

For example, regulations concerning taxes would likely be upheld, regardless of how old the statutes they rely on are.

“It's not a new authority,” Minoli said. “There's nothing different about what the government is doing except for applying the same thing, the same way to just a new company."

Courts would likely apply a heightened review standard when agencies use a long-existing statute to address a new problem.

“It may be that if agencies are using or old statutes to try to address the new challenges of blockchain, that could be a scenario under which a court says ‘wait a minute, you've found authority in something that as long ago no one thought that authority existed,” he said said.

In the pipeline

On March 9, President Biden signed an executive order that included the EPA in the list of governmental agencies that were tasked with looking at the potential risks and benefits of crypto and coming up with a report within 180 days.

Specifically, it asked agencies to study the potential for crypto to “impede or advance efforts to tackle climate change at home and abroad.”

While this was only a first step, Minoli indicated that any regulatory framework that results from it down the line could possibly be subjected to the major question doctrine.

“If the EPA, under that executive order did the analysis and then wrote a regulation that found authority to regulate blockchain (under a) statute that's been in existence for 35 years the court may say ‘before we agree that the EPA has the broad authority to be the financial regulator of this currency, we're going to have expected Congress to give them that authority clearly.'"

In other words, the EPA could need Congress to enact new legislation for that specific purpose.

Still, Huffman argued that the decision would not have that much impact in the EPA's ability to regulate bitcoin mining.

"It only involves the major questions doctrine when it is a regulation that has economy-wide impacts," he said. "It's hard to imagine that some basic standards that might be applied to crypto mining would rise to the level of major questions."

Where it will have an impact, he said, is on the EPA and other agencies' power to pass regulations that address the climate crisis in broad sweeps.

"The Supreme Court has said that if you want to try to reform an entire sector of the economy, you're going to need a specific directive from Congress," Huffman said. "I think many of us have just wanted to make sure the EPA is looking into (bitcoin mining) and is doing the oversight and contemplating rules and standards that might be appropriate. And I think all of that continues to be available to the EPA right now, notwithstanding the Supreme Court decision."

Following the executive order, over 20 House Democrats sent a letter to the EPA calling for increased oversight of proof-of-work mining in April.

The group of legislators, led by Huffman, asked the agency to investigate possible negative consequences of this type of crypto mining, such as noise pollution, electronic waste from hardware replacement, greenhouse gas emissions and the reopening of former gas and coal plants to power mining operations.

The White House Office of Science and Technology Policy (OSTP) is also expected to publish a report on cryptocurrency mining and its environmental impact in August.

“It’s important, if this is going to be part of our financial system in any meaningful way, that it’s developed responsibly and minimizes total emissions,” Costa Samaras, principal assistant director for OSTP's energy division, told Bloomberg Law.

Assemblywoman Anna Kelles, who has been the sponsor and a strong supporter of a proof-of-work mining moratorium bill passed by the New York legislature that would essentially target fossil-fuel power plants, said that the Supreme Court's decision could leave a lot of the regulatory process up the states.

"With this EPA regulatory ability removed there are no guardrails on how large or how polluting any individual power plant can be if a state chooses not to set any parameters," Kelles told The Block over email.

Coinciding with the day that the decision came out, New York regulators denied bitcoin miner Greenidge an air permit for its natural gas plant. The Department of Environmental Conservation argued that Greenidge's application didn't comply with the greenhouse gas emissions limits set by the state's Climate Leadership and Community Protection Act.

New York Governor Kathy Hochul also recently commented on the decision while signing legislation regarding greenhouse gas emissions.

"Here in New York we are not letting the Supreme Court block our goals or our bold ambition for our state," she said.

https://www.theblock.co/post/157860/house-senate-democrats-push-regulators-to-demand-data-from-bitcoin-miners

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Ripple President Monica Long announced the use of XRP-POOLS 🤯

Ripple President Monica Long announced the use of XRP-POOLS to leverage XRP as collateral for funding customers’ payments from credit card institutions.

We are talking here about TRILLIONS of DOLLARS on the XRP-Ledger!

OP: Jacktherippler

00:00:28
🔥 Interview With Jacob "Const" Steeves, Co-Founder of Bittensor 🔥

Insane Interview Jacob "Const" Steeves (@const_reborn), Co-Founder of Bittensor and CEO of Affine, for an deep dive into what's coming next for Bittensor! 🧠⚡️

From fighting the AI cabal and competing with frontier labs to revenue models and Gamma Tokens—we covered it all. 🔥

⏱️ Timestamps:

0:00 Meet Jacob "Const" Steeves 👋
0:27 Fighting the AI Cabal 🛡️
8:40 Competing With Frontier Labs ⚔️
11:02 Templar's Departure & Teutonic 🏛️
15:44 Research, Revenue & Gamma Tokens
21:31 What's Next for Bittensor? 🔮

Catch the full conversation below! 📺👇

00:23:20
🪙 Is a Gold-Backed Dollar Making a Comeback? 🇺🇸🟡

The global financial landscape could be on the verge of a historic pivot. The U.S. Treasury has reportedly hired economist Judy Shelton—a vocal advocate for a gold-backed currency for three decades—sparking intense speculation about the future of the monetary system. 📈📉

The Core Proposal & Historical Context 📜⏳

🔹 The Shelton Plan: The proposed mechanism involves issuing a Treasury bond that holders can redeem for either U.S. dollars or physical gold.

🔹 A Nod to the Past: This exact promise was standard on U.S. war bonds until 1933, when Congress ultimately suspended convertibility during the Great Depression. 🏦💵

The Global Gold Rush 🌍🏦

🔹 The Biggest Stack: The United States currently holds 8,133 tonnes of gold—the largest reserve on the planet.

🔹 Global Accumulation: Central banks worldwide are stacking gold at an unprecedented rate. For instance, China has aggressively purchased gold for consecutive months, and ...

00:02:45
🚨 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

In 2015, Bitcoin was right there, in front of me.

I ran into it ten times. I never stopped. Like everyone else, I shrugged, and I let it go by.

The hard part was not understanding Bitcoin.
The hard part was stopping for it. Giving it an hour, a page, one real try. The people who got it were not smarter. They had tried.

Eleven years later, I feel the exact same thing about Bittensor. A network where artificial intelligence belongs to no one, where the rules are public, and whose currency is capped like bitcoin. All around me, the same "this is too complicated for me."

This time, I stopped for it. And I wrote the book that lets you do the same in a weekend.

I wrote it for people who know nothing about any of this. Every technical word explained once, in one sentence. A city, its districts, its craftsmen and its jury to understand the machine without a single diagram. And the risks as a whole part of the book, not a footnote.

It will not tell you what to buy. It predicts nothing. It gives you what you ...

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Hopefully Before All The Silver Is Gone 🥈

💵 Trump renews $5,000 “dividend” promise if Republicans win the 2026 midterms 💵

President Donald Trump is again promising a $5,000 payment to every adult U.S. citizen if Republicans retain control of both the House and Senate in the November 2026 midterm elections.

🔑 Key points

🔹 The proposal is conditional: Republicans would need to win control of both chambers of Congress.

🔹 It is not currently authorized: Congress would still need to approve the payments and establish eligibility, funding, administration, and timing.

🔹 Estimated cost is approximately $1.2 trillion: The figure is based on roughly 240 million adult citizens receiving $5,000 each.

🔹 Tariff revenue is being presented as a funding source: The administration has suggested that tariff proceeds could help finance the dividend.

🔹 Current tariff revenue may be insufficient: The projected cost would exceed the amount of tariff revenue collected over comparable periods.

🔹 The plan resembles a corporate dividend: Trump has ...

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🛡️ Endure builds decentralized risk intelligence for DeFi 🛡️

Endure (SN30) is creating a network where independent analysts compete to produce lending-risk parameters, while validators score those forecasts against real market outcomes.

🔑 Key points

🔹 Miners produce risk intelligence: Contributors submit loan-to-value ratios, interest-rate curves, liquidation thresholds, and other risk parameters.

🔹 Validators score real outcomes: Submissions are evaluated every epoch against actual market behavior.

🔹 Accuracy drives rewards: High-performing miners gain emissions while weaker submissions lose share.

🔹 Security and capital efficiency are balanced: Parameters that are too conservative leave capital idle, while aggressive settings increase risk.

🔹 Forge is the first product: The Bittensor-native money market allows users to borrow TAO against alpha tokens or lend TAO for yield.

🔹 Real capital creates real feedback: Forge gives the network a live environment where risk models face actual ...

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September 13, 2026
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Revolut Leak Shows the Cost of Constant ID Collection
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an “unauthorized third party” reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

Revolut claims that derived biometric face data was not.

The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency.

The email passed several authentication checks (SPF, DKIM, and DMARC) that are designed to establish the authenticity of a message’s origin and integrity, but do not verify the legitimacy of the legal request itself.

Revolut said that it complied with the request “under the reasonable belief that it was an authentic government agency request” – and only later found out that it was not.

Revolut said it later realized its mistake, blocked the email address, and reported the incident to the relevant authorities.

Revolut said that only a “limited” number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen.

The story broke on September 11 when Revolut customers started receiving an email notice about a data leak, and the news was picked up by media outlets the following day.

Revolut notice explaining customer identity and financial data was shared after an unauthorized government email request.

The reason this is a recurring problem is that companies are keeping highly sensitive information about their customers’ identities, and sometimes even financial transactions, for a long time, and this data is then available to be disclosed to third parties – either in response to valid legal requests, or, as in the case of Revolut, fake ones.

One reason for this is know your customer (KYC) and anti-money laundering (AML) rules. Revolut’s current UK customer privacy notice spells it out: the company generally keeps personal data of UK customers for no more than seven years after the relationship ends, and sometimes longer – for legal reasons.

This means that even if you close your account, your identity documents don’t disappear.

And while the incident with Revolut happened in the financial sector, it’s by no means the only one that requires customers to hand over sensitive identity information. Discord, a popular chat service, said in an October 9, 2025 security update that government ID photos of approximately 70,000 users may have been exposed after a third-party customer service provider got hacked.

This was not a financial service, nor the same type of attack. But the result was similar – because the underlying business process was the same: requiring and storing sensitive identity documents. In the case of Discord, these were used to review age-related appeals.

It’s hard to do anything about a copy of your old passport, or a photo of your face, or a record of your past transactions. These can be used to identify and profile you, and can be used to carry out targeted fraud. And this can happen even if the initial disclosure didn’t result in financial loss.

The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.

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This Is The Income A Family Needs To Live Comfortably In Every US State

Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:

In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.

So… how much does a family of four need in your state?

This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.

The numbers come from SmartAsset (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And as Visual Capitalist notes, Massachusetts sits at the very top of that list. Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

  • 1 - Massachusetts - $329,555
  • 2 - Hawaii - $313,165
  • 3 - California - $302,682
  • 4 - Connecticut - $298,189
  • 5 - New Jersey - $295,110
  • 6 - New York - $291,533
  • 7 - Colorado - $283,213
  • 8 - Washington - $281,798
  • 9 - Oregon - $280,966
  • 10 - Vermont - $280,384
  • 11 - Alaska - $272,064
  • 12 - New Hampshire - $267,904
  • 13 - Rhode Island - $264,659
  • 14 - Minnesota - $263,078
  • 15 - Maryland - $257,837
  • 16 - Maine - $250,931
  • 17 - Montana - $249,434
  • 18 - Pennsylvania - $247,936
  • 19 - Illinois - $244,109
  • 20 - Virginia - $242,944
  • 21 - Nevada - $242,278
  • 22 - Indiana - $241,696
  • 23 - Wisconsin - $238,451
  • 24 - Arizona - $236,870
  • 25 - Utah - $235,789
  • 26 - Delaware - $228,134
  • 27 - Ohio - $226,221
  • 28 - Idaho - $226,054
  • 29 - Florida - $223,392
  • 30 - New Mexico - $223,142
  • 31 - Nebraska - $223,059
  • 32 - Missouri - $217,734
  • 33 - Georgia - $214,573
  • 34 - Michigan - $214,323
  • 35 - South Carolina - $212,909
  • 36 - North Carolina - $212,410
  • 37 - Wyoming - $212,410
  • 38 - Oklahoma - $211,910
  • 39 - North Dakota - $210,496
  • 40 - Kansas - $207,917
  • 41 - Iowa - $204,422
  • 42 - Texas - $203,424
  • 43 - West Virginia - $202,592
  • 44 - South Dakota - $201,760
  • 45 - Alabama - $198,931
  • 46 - Louisiana - $197,933
  • 47 - Tennessee - $197,267
  • 48 - Arkansas - $195,437
  • 49 - Kentucky - $194,854
  • 50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having the second-smallest population of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite the wide range in living costs across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky. The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
 
Now that AI is moving into the physical world, many are asking a bigger question:
 
Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
 
That movement is decentralized AI.
 
Why Decentralized AI Exists
 
The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
 
Why This Matters for Robotics
 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
 
This is where decentralized systems become interesting.
 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
 
Imagine a future where:
  • Warehouse robots contribute operational data.
  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
 
That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
 
The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
 
In other words, the pieces are starting to appear.
 
Not a decentralized robot network yet.
 
But the infrastructure that could support one.
 
Beyond Bittensor: The Rise of Physical AI Networks
 
Bittensor isn't alone.
 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
 
At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
 
The goal is not simply decentralization for its own sake.
 
The goal is resilience.
 
If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
But Here's the Reality
 
Decentralized AI faces the same challenge every decentralized technology faces.
 
Big Tech has resources. A lot of resources.
 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
 
And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
 
The challenge isn't just decentralizing intelligence.
 
It's decentralizing intelligence while maintaining performance.
 
That's much harder.
 
The Most Likely Outcome
 
The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
 
The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
 
The Bigger Question
 
The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
 
Because the battle for the future of robotics is no longer about hardware.
 
It's about who owns the intelligence.
 
And that battle is just getting started.
 
 

🙏To support my work, Helping to keep the signal high and the noise low:

👉 Cashapp: $thedinarian

👉 Buy me a coffee: https://buymeacoffee.com/thedinarian

👉 PayPal: Scan the QR code below 📲 or Click Here: 

👇 Crypto Donations 👇

XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

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