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Governments See CBDCs Making Their Countries 'More Economically and Financially Efficient' — Venom Foundation CEO
August 29, 2023
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According to Christopher Louis Tsu, the CEO of Venom Foundation, governments that are seeking to introduce central bank digital currencies (CBDCs) are not being driven by the fear that privately issued digital currencies may soon become the preferred method for cross-border and micropayments. Instead, some countries view CBDCs as a technology that could make their countries “more economically and financially efficient” and this ultimately improves their competitiveness.

Regulated Digital Assets ‘a Requirement for Mass Adoption’

While stablecoins issued by private entities such as Tether are increasingly seen as the go-to digital currencies when moving funds across borders, Tsu told Bitcoin.com News that CBDCs may turn out to be a better option because they are underpinned by regulation. According to the CEO of Venom Foundation — a platform that aims to create a bridge between traditional finance and the Web3 world — such an attribute can be a key “requirement for mass adoption and harmonization of markets and economies.”

When asked about claims that CBDCs could be used by governments to exercise greater control over people’s financial lives, Tsu insisted that the issue is not necessarily about the technology but those in control of it. To support his argument, Tsu pointed to Paypal, a privately owned entity that recently announced the launch of its own stablecoin — the PYUSD.

The CEO said Paypal can unilaterally freeze or pause the transfer of PYSUD if this is in line with its fiduciary and legal responsibilities. He suggested that the same argument can also be applied to central banks when it comes to their ability to censor CBDC transactions.

Meanwhile, in other answers to questions sent to him via Telegram, Tsu also offered his thoughts on how governments can use CBDCs to lower the cost of sending remittances. He further offered his views on what he sees as challenges that could hinder the adoption of CBDCs. Below are all of the Venom Foundation CEO’s written answers to questions sent.

Bitcoin.com News (BCN): Why do governments and central banks around the world feel the need to introduce CBDCs? Is it driven by the fear of crypto becoming the go-to mode of cross-border payments and micropayments?

Christopher Louis Tsu (CLT): It is not fear of crypto that is driving this massive interest in CBDCs. Sovereign nations see a far greater opportunity to access new digital asset classes, be more economically and financially efficient and ultimately raise the competitiveness of their country.

This is game theory in full swing, no country wants to miss the boat. The smart money already played their hand. There are hundreds of billions of dollars of tokenization projects already live. What’s a token? There are non-fungible tokens, NFTs, which could represent a financial product like a bond or fungible tokens which is a unit of value that can represent a dollar or a euro. CBDCs are a subset of this bigger opportunity and I believe governments want in, this can be analogous to the last time when fibre optics were being laid down, the digital currency or the CBDC is the final crucial component.

BCN: Why would users — both institutional and retail — want to adopt CBDCs when they already have stablecoins to serve this purpose?

CLT: As we are not yet in this scenario, I can only assume how this future will unfold. For centuries we have had private money issued by individuals and companies which went into steep decline as central banks were formed and more so since the Modern Monetary Theory (MMT) garnered more support. Nevertheless, this trend is going in reverse with the advent of the internet and blockchain technology progressively private money has come back into circulation.

My definition of private money is not exclusively stablecoins like USDT which alone has risen from nothing to about $150 billion in a few years. Let’s take the JP Morgan coin used by its clients to settle transactions since 2019. It has already handled $300 billion worth of transactions. There are multiple commodity stablecoins backed by various precious metals. Tokens both fungible and non-fungible are daily being created to represent value that touches all different parts of our economy.

Many of these instruments are ahead of regulation and thus self-regulating. As CBDCs roll out at both retail and wholesale levels, they will not be in isolation but underpinned by regulation and this is a requirement for mass adoption and harmonization of markets and economies.

BCN: It seems cross-border payments are still complicated and expensive. When you send money to someone in another country, it goes through a complex web of interlinkages between banks. The fees for this could go as high as 6.5%, which may be a lot for the poor immigrants sending remittances to their loved ones back home. Do you foresee CBDCs getting this right?

CLT: Things have already improved dramatically compared to 6.5%. My Kenyan colleagues used to send money across the country in a bus, back in the day the amount that was skimmed off the top was erratic and occasionally the envelope never even arrived!

Can CBDCs improve? Yes, they can, but this is only a part of the picture. Technology and the private industry are moving far quicker than governments can deploy CBDCs. There are an array of different types of cryptocurrencies, stablecoins and institutional tokens already on the market. The delivery mechanism to retail is via a ‘wallet’ and already we see the green shoots of a multitude of blockchain use cases, for example, aid.technology is currently delivering humanitarian aid through a digital wallet.

By the time governments start to deploy CBDCs, there will be wallets with proven applications such as remittances, lending and borrowing protocols battle-tested for the retail market. The CBDCs will play a critical role in mass adoption because they will have government backing and hence acceptance in every aspect of everyday life.

BCN: According to reports, Venom is working with the relevant authorities in Kenya, Bangladesh, and a few other countries to increase financial inclusion. Micropayments are at the heart of financial inclusion. Can you talk about how Venom is using blockchain to bring financial services to the underserved?

CLT: Venom’s vision is to leverage its highly scalable technology to bring blockchain into many emerging markets including Kenya and Bangladesh. In tandem with regulation from the Abu Dhabi Global Markets (ADGM), we are seeing a smooth acceptance thus far.

Micropayments are at the heart of helping people. It can touch the lives of millions who do not even have the basics like a bank account. Through a digital wallet, small farmers who need a $10 loan for fertilizer, a refugee who wants to send $0.50 to a family member peer-to-peer, or an entrepreneur housewife working from home performing part-time remote administration services can invoice cross-border a dollar-a-day; all done with minimum transaction costs.

At the same time, this low-income category currently has virtually no option to save for the future. Once a digital wallet is in their hands, the option to ‘stake’ and earn interest on savings will become highly attractive. Especially since very small sums of money can be invested into “staking” again with little friction.

BCN: While CBDCs may offer certain benefits, many fear that they will give governments greater control over people’s financial lives and transactions. To illustrate, the Brazilian central bank recently published the CBDC pilot project on its Github profile and it is said that developers have since discovered that the central bank has the ability to freeze users’ accounts, decrease target balances, confiscate, and mint new units of the digital currency. Do you think such red flags could hurt the adoption of CBDCs?

CLT: For decades, global financial systems have had AML/KYT/KYC monitoring systems and if a transaction breaches a rule or demonstrates suspicious activity, the institution has a fiduciary and legal responsibility to act. It is not the technology that is invasive, it is the policymakers and they will differ from one country to another.

All the above actions you enumerate are already possible. For example, “minting new units” has been a common practice since the 1970s by central banks. They call it quantitative easing.

These are design decisions. The following example is not a government but a private company Paypal that issued a stablecoin, PYUSD. Paypal can freeze an address, i.e. an account. They can pause all transfers and mint more tokens whenever they want.

Just like anything, give a man a hammer and he can build a house or hit someone over the head.

BCN: What are wholesale and retail CBDCs and why is there a need for two different sets of CBDCs?

CLT: For the sake of clarity when I talk about CBDCs I’m also referring to digital currency, which could be a stablecoin either private, institutional or sovereign.

Wholesale is for corporate and retail is for individuals.

The difference between the two are policies. In wholesale the rules are far more complex, with multiple asset classes, vast account limits, stringent risk management, and more detailed regulation, with bigger sums of money; settlement and clearing are points of pain. For many years, companies have been using blockchain DLT to develop solutions to solve some of these issues. However, I personally see we have reached a tipping point.

It is a major advantage for a CBDC design if the technology supports account abstraction as in the Venom blockchain. Put simply, it means rules such as wholesale risk management can be natively programmed into the account.

BCN: In your opinion, what are the biggest roadblocks to large-scale adoption of CBDCs?

CLT: Wealthy economies do not need digital currencies as much as developing economies, so if we slice the world in two, I would say governments and central banks in rich countries do not have the same incentives as developing countries. Developing countries view the shift to blockchain in a holistic way, it is not a currency in isolation, it is a regime of transparency, access to capital markets, improved supply chain, and tokenization of their raw assets. So I think we will see a slow lane and a fast lane in the near future.

Regulation has to be resolved for large-scale adoption and it is not any regulator trying to throw a spanner in the works. It is just a highly complex system that has to be coordinated on a global basis. Trying to harmonize different countries and regions is a time-consuming task.

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According to CNBC, SEC Chair Paul Atkins is set to announce NEW crypto rules this Friday! ⚡️🇺🇸

Here is what’s on the horizon for the digital asset space:

🔹 Project Crypto Unleashed: The SEC is moving forward with a dedicated framework for crypto assets, transfer agent updates, and adviser custody guidelines.

🔹 Regulatory Clarity: After years of uncertainty, official rules of the road are finally arriving for token issuers, exchanges, and institutional investors.

🔹 Moving Independent of Congress: Whether or not legislative bills like the CLARITY Act pass, federal regulators are taking direct action to build a modern market architecture.

This could mark a massive turning point for innovation and compliance in the U.S. crypto industry! 🚀📊

Will this ignite the next market rally? Drop your predictions below! 👇🔥

#Crypto #SEC #PaulAtkins #CryptoNews #Bitcoin #Ethereum #Web3 #Regulation

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🙉Sign → perceive → understand🙉

Proof, not a promise.

Real ASL video.
Real recorded landmarks.
Real model output.

We took what we’ve been building inside UMI and put it into the first bitsign iOS product concept.

Sign → perceive → understand.

This is recorded playback, not live translation yet.

The next milestone is making this happen live.

bitsign.ai

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​🚨 BREAKING: The Final Clarity Act Bill Text is Official! 🇺🇸🔥

​After more than a year of back-and-forth, the final draft is here—incorporating 126 last-minute amendments requested by Democrats just 24 hours before the vote. 🤯

​Key updates in the final text:

​Strict Ethics Oversight: Expanded restrictions now cover federal officials, judges, and spouses, with Senator Lummis noting Trump opted in voluntarily.
​Banking Safeguards: Treasury gains authority to step in if high-yield stablecoins start draining liquidity from community banks.

​Builder Protections: Civil safe harbor provisions have been strengthened to explicitly cover crypto miners and network validators.

​Market Integrity: Added guardrails target conflicts of interest and affiliate trading while leaving state consumer protection laws intact.

​Does it have enough momentum to secure 60 votes tomorrow? 👀

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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.

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🔹 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 🚨
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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.

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💠 '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

🤖 How Bittensor SN61 RedTeam is building an autonomous cybersecurity immune system 🛡️

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In this deep dive, Oscar and Javokhir unpack how RedTeam evolved from manually breaking competing security products into a commercial cybersecurity platform now protecting over 125 million daily active users across its customer base. 🚀

🔥 Key topics covered in this episode:

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🏦 Three Fortune 500 banks reportedly enter RedTeam’s cybersecurity pipeline 🏦

RedTeam (SN61) says three Fortune 500 banks are now in its commercial pipeline, signaling growing interest in its AI-driven approach to adversarial security testing.

🔑 Key points

🔹 Three major banks are evaluating RedTeam: The institutions are reportedly considering SN61 for fraud detection, bot defense, device intelligence, and security testing.

🔹 Pipeline is not revenue: Being in a sales pipeline does not mean the banks have signed contracts or deployed the product.

🔹 RedTeam attacks detection systems: Its network of security researchers and miners searches for ways to bypass fraud and identity protections.

🔹 AI agents expand testing: Automated systems can generate and test attack variations faster than traditional manual security teams.

🔹 Financial institutions are high-value targets: Banks face constant threats involving bots, account takeover, synthetic identities, credential theft, and payment fraud.

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🌎 Schumann Resonance Today 9/16 🌎

Right now the Schumann resonance fundamental sits at 7.83 Hz, with geomagnetic activity quiet (Kp 2.3).

Quiet Fields, Clear Signals
A low Kp index of 2.3 and gentle solar wind of 354 km/s point to a electromagnetically quiet day — conditions historically associated with steadier cognition and restful sleep.

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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 notesMassachusetts 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.
 
 

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