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September 02, 2022
šŸ’„Gensler Says Crypto Treated Just Like The Market; 200 SEC Lawsuits Say Otherwise.šŸ’„

By law, regulatory agencies should only regulate that which they have authority to regulate. Deference is allowed to some degree, should the agency’s justification be reasonable and ideally evidenced. Notably Congress promulgated the Administrative Procedure Act (APA) in 1946 to guide agency process to publish notice of rulemaking in the Federal Register and provide opportunity for public comment. This standard process seems to have never have happened for crypto assets at the Security and Exchange Commission (SEC). The SEC website does not include an entry for regulation for crypto, either completed or proposed.

In May 2022, the SEC beefed up its Cyber Unit to the Crypto Assets and Cyber Unit, budgeted for 50 dedicated officers and more than doubling the department’s headcount. The unit counts some 200 lawsuits since its founding in 2017, with fraud being the subject in at least 80 investigations. The agency also reports restoration of $2 billion in monetary relief.

No one denies that crypto assets, like any asset or technology, can be used fraudulently. The very features that make crypto assets desirable can also be exploited, including but not limited to ease of startup and use, anonymization, and lack of intermediaries. Plus, some users can undoubtedly be greedy and gullible. It does not help that some have disguised crypto scams as legitimate services.

It’s true, as well, that at least $1 billion had been lost to crypto fraud in 2021. However, this pales in comparison to more than $15 billion lost overnight by investors when the SEC brought a $1.3 billion non-fraud lawsuit against enterprise blockchain company Ripple Labs. When the news dropped, exchanges stopped trading XRP currency.

The SEC’s broad-brush approach which a priori singles out all crypto offerings, exchanges, lending, decentralized financed, non-fungible tokens, and stablecoins looks like guilty until proven innocent. So many lawsuits suggests that the SEC prefers ā€œregulation by enforcementā€ (a lawsuit against a financial actor meant to extract a settlement) rather than ā€œregulation by rulesā€ (express guidelines for the trade of currencies, securities, and other assets). If the SEC can devote 50 amongst 4000 employees to detect crypto fraud, a handful could work on rulemaking to help legitimate crypto actors.

The SEC has not responded to my request for comment.

The Chairman’s View
In a recent op-ed titled ā€œThe SEC Treats Crypto Like the Rest of the Capital Markets. Securities laws that protect investors continue to apply even when new technologies come along,ā€ SEC Chairman Gary Gensler made a seemingly reasonable pitch for investor protection against fraud and claimed that SEC rules protect against this. Indeed he claimed that crypto lending is already subject to SEC regulation and that ā€œthe rules have been around for decades.ā€ However a cursory search on SEC.gov on the term ā€œcrypto lendingā€ only yields results related to the SEC’s BlockFi enforcement, no ā€œrulesā€ as such. Instead the Chairman advises, ā€œI encourage platforms offering crypto lending to come in and talk to SEC staff.ā€ What is www.SEC.gov for if not to read rules?

On various occasions Gensler observed that every digital asset is probably a security and that every firm should know that. However this not what the SEC said in the past (see the 2018 William Hinman speech). There is principled, ongoing debate in legal and academic communities that crypto assets could be either currency (medium of exchange) or security (investment in an asset with an expectation of return) or both. This important distinction is not explicit on SEC.gov and the SEC acknowledges both categories exist.

This question of currency or security is at the heart of SEC v. Ripple Labs and the status of the digital currency XRP. Apparently SEC leaders themselves debated the question internally for some time, but never conducted an inquiry or rulemaking. Magistrate Judge Sarah Netburn has repeatedly ordered the internal documents on the 2018 speech be produced to Ripple in discovery, but the SEC refuses to comply. Her July Opinion & Order blasted the agency for ā€œhypocrisyā€ and behavior which ā€œsuggests that the SEC is adopting its litigation positions to further its desired goal, and not out of a faithful allegiance to the law.ā€ The SEC further charges that Ripple should have known XRP was security from the ledger’s debut in 2013, even though the SEC itself didn’t know until it filed the suit in 2020.

A similar argument underpins SEC v. LBRY, though it involves a different technology and objective. Gensler observed at a speech at the 2021 Aspen Security Forum, ā€œMake no mistake: It doesn’t matter whether it’s a stock token, a stable value token backed by securities, or any other virtual product that provides synthetic exposure to underlying securities. These products are subject to the securities laws and must work within our securities regime.ā€

Complying with the SEC’s securities regime is a tall order for any enterprise, whether a major bank or a lone developer. That fellow SEC Commissioner Hester Peirce posted a proposal for a token safe harbor to ā€œfacilitate participation in and the development of a functional or decentralized network, exempted from the registration provisions of the federal securities laws for three yearsā€ suggests that the SEC’s rules are less than clear.

At the Aspen event, Gensler also claimed that the Supreme Court’s Howey benchmark is a ā€œthree partā€ test, when it is in fact four. The critical fourth prong is the ā€œinvestment contractā€ defined as an investment of money in a common enterprise with the expectation of profit to be derived from the efforts of others. It appears that Gensler eliminated this because it contradicts the reasoning in the Ripple and LBRY cases, which posits that the tokens per se are securities regardless of how they are packaged and sold.

What the SEC should do
The SEC was founded in 1934 in reaction to the 1929 stock market crash and with the purpose to protect markets from manipulation. However the SEC’s own actions to ā€œregulate by enforcementā€ are a kind of manipulation through arbitrary and capricious decisions and lack of process and rules.

Indeed, some 90 percent of SEC cases are settled, rather than concluded in court. Such a high degree of enforcement and settlement suggests that SEC rules are not clear and possibly non-existent.

There are hundreds of SEC lawyer tasked with prosecuting companies for failure to follow rules that Gensler says exist but which cannot be found on SEC.gov. Gensler can protect investors through transparency. Crypto actors have begged Congress and the SEC for clear rules for years, but it hasn’t happened. Gensler has been on the job for a year a half. It’s time to get this done.

https://www.forbes.com/sites/roslynlayton/2022/08/28/gensler-says-crypto-treated-just-like-the-market-200-sec-lawsuits-say-otherwise

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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
šŸ”„ Interview With Jacob "Const" Steeves, Co-Founder of Bittensor šŸ”„

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! šŸ§ āš”ļø

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

ā±ļø Timestamps:

0:00 Meet Jacob "Const" Steeves šŸ‘‹
0:27 Fighting the AI Cabal šŸ›”ļø
8:40 Competing With Frontier Labs āš”ļø
11:02 Templar's Departure & Teutonic šŸ›ļø
15:44 Research, Revenue & Gamma Tokens
21:31 What's Next for Bittensor? šŸ”®

Catch the full conversation below! šŸ“ŗšŸ‘‡

00:23:20
šŸŖ™ Is a Gold-Backed Dollar Making a Comeback? šŸ‡ŗšŸ‡øšŸŸ”

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. šŸ“ˆšŸ“‰

The Core Proposal & Historical Context šŸ“œā³

šŸ”¹ The Shelton Plan: The proposed mechanism involves issuing a Treasury bond that holders can redeem for either U.S. dollars or physical gold.

šŸ”¹ 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. šŸ¦šŸ’µ

The Global Gold Rush šŸŒšŸ¦

šŸ”¹ The Biggest Stack: The United States currently holds 8,133 tonnes of gold—the largest reserve on the planet.

šŸ”¹ 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.

šŸ”‘ Key points

šŸ”¹ 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.

šŸ”¹ The platform says it has processed nearly 38 trillion tokens since launch across 53 deployed applications and more than 700,000 registered users.

šŸ”¹ 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.

šŸ”¹ 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.

šŸ”‘ Key points

šŸ”¹ 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.

šŸ”¹ 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.

šŸ”¹ 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 🚨
šŸ‘‰ Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? šŸ”œ

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

šŸ‘‰ Here’s what you need to know:

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

šŸ‘‰ 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 šŸ‘‰txns done by AI agents by 2025

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

šŸ‘‰ 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 🄈

šŸ’µ Trump renews $5,000 ā€œdividendā€ promise if Republicans win the 2026 midterms šŸ’µ

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.

šŸ”‘ Key points

šŸ”¹ The proposal is conditional: Republicans would need to win control of both chambers of Congress.

šŸ”¹ It is not currently authorized: Congress would still need to approve the payments and establish eligibility, funding, administration, and timing.

šŸ”¹ Estimated cost is approximately $1.2 trillion: The figure is based on roughly 240 million adult citizens receiving $5,000 each.

šŸ”¹ Tariff revenue is being presented as a funding source: The administration has suggested that tariff proceeds could help finance the dividend.

šŸ”¹ Current tariff revenue may be insufficient: The projected cost would exceed the amount of tariff revenue collected over comparable periods.

šŸ”¹ The plan resembles a corporate dividend: Trump has ...

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šŸŒŽ Schumann Resonance Today 10/6 šŸŒŽ

Right now the Schumann resonance fundamental sits at 7.83 Hz, with geomagnetic activity g1 minor (Kp 5.3, G1).

Elevated Solar Wind, Earth Absorbs the Push
A Kp index of 5.3 and solar wind at 571 km/s mark a noticeably active geomagnetic day. The Schumann baseline holds at 7.83 Hz, but the pressure is real.

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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 ā€œunauthorized third partyā€ 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 ā€œunder the reasonable belief that it was an authentic government agency requestā€ – 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 ā€œlimitedā€ 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 fromĀ SmartAssetĀ (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 asĀ Visual CapitalistĀ notes,Ā Massachusetts sits at the very top of that list.Ā 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 theĀ second-smallest populationĀ 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 theĀ wide range in living costsĀ 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.Ā 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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šŸ¤–Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?šŸ¤–
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
Ā 
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.
Ā 
Now that AI is moving into the physical world, many are asking a bigger question:
Ā 
Will these same companies end up controlling robotics too?
Ā 
It's a valid concern.
Ā 
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.
Ā 
That movement is decentralized AI.
Ā 
Why Decentralized AI Exists
Ā 
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.
Ā 
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.
Ā 
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.
Ā 
Why This Matters for Robotics
Ā 
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.
Ā 
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.
Ā 
This is where decentralized systems become interesting.
Ā 
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.
Ā 
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.
Ā 
That vision is beginning to emerge.
Ā 
Bittensor's Move Toward Physical AI
Ā 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
Ā 
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.
Ā 
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.
Ā 
In other words, the pieces are starting to appear.
Ā 
Not a decentralized robot network yet.
Ā 
But the infrastructure that could support one.
Ā 
Beyond Bittensor: The Rise of Physical AI Networks
Ā 
Bittensor isn't alone.
Ā 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
Ā 
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.
Ā 
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.
Ā 
The goal is not simply decentralization for its own sake.
Ā 
The goal is resilience.
Ā 
If one server fails, the system continues.
Ā 
If one company disappears, the network survives.
Ā 
If one participant leaves, innovation continues.
Ā 
But Here's the Reality
Ā 
Decentralized AI faces the same challenge every decentralized technology faces.
Ā 
Big Tech has resources. A lot of resources.
Ā 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
Ā 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
Ā 
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.
Ā 
The challenge isn't just decentralizing intelligence.
Ā 
It's decentralizing intelligence while maintaining performance.
Ā 
That's much harder.
Ā 
The Most Likely Outcome
Ā 
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.
Ā 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
Ā 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
Ā 
The companies building robots may use NVIDIA hardware.
Ā 
Train on Azure.
Ā 
Run foundation models from OpenAI.
Ā 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
Ā 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
Ā 
The Bigger Question
Ā 
The real question isn't whether decentralized AI can eliminate Big Tech.
Ā 
It can't.
Ā 
At least not anytime soon.
Ā 
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.
Ā 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
Ā 
Because the battle for the future of robotics is no longer about hardware.
Ā 
It's about who owns the intelligence.
Ā 
And that battle is just getting started.
Ā 
Ā 

šŸ™To support my work, Helping to keep the signal high and the noise low:

šŸ‘‰ Cashapp: $thedinarian

šŸ‘‰ Buy me a coffee: https://buymeacoffee.com/thedinarian

šŸ‘‰ PayPal: Scan the QR code below šŸ“² or Click Here:Ā 

šŸ‘‡ Crypto Donations šŸ‘‡

XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

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