Dinarian888
News • Business • Investing & Finance
Project Dynamo Unveiling the Potential for CBDCs and Other Tokens
June 30, 2023
post photo preview

The financial industry is witnessing a wave of digital money and payment innovation driven by the public and private sectors. Central bank digital currencies (CBDCs), stablecoins, and deposit tokens are among the emerging digital assets that are transforming the global payments landscape.

These innovations leverage blockchain and distributed ledger technology (DLT) to achieve faster and more efficient payment and settlement processes and programmability. 

While the potential benefits are promising, addressing the challenges and uncertainties associated with these emerging technologies is crucial for sustainable adoption. 

In view of this evolving landscape and within the scope of Project Dynamo, which encompasses the utilization of digital trade tokens, the BIS Innovation Hub Hong Kong Centre (BISIH) has collaborated with Quinlan & Associates to conduct a comprehensive study of the current state of CBDCs, deposit tokens, and stablecoins.

This study is further strengthened by insights derived from interviews with 29 global market leaders and stakeholders actively engaged in one or more aspects of these technological explorations.

CBDC projects and private sector initiatives

The landscape study revealed a significant increase in CBDC projects initiated by public entities in recent years. Nearly one-third of jurisdictions worldwide have explored or are currently exploring CBDC use cases. Of the 131 CBDC projects tracked until April 2023, 42 specifically focus on wholesale adoption.

The private sector has also embraced the adoption of CBDCs, deposit tokens, and stablecoins to enhance their existing offerings and propositions.

For instance, ANZ introduced the A$DC, a stablecoin aimed at automating supply chains and cost-effectively providing near real-time liquidity.

In Japan, major banks such as Tokyo Kiraboshi Financial Group, Minna no Bank, and the Shikoku Bank are exploring the issuance of their stablecoins on a public blockchain.

Project overview and methodology

The landscape study conducted for Project Dynamo focuses on the wholesale adoption of CBDCs, deposit tokens, and stablecoins. It covers use cases, adoption outlook, challenges, organisational positioning, blockchain technology, and regulatory developments. 

The study employed a combination of primary and secondary research, including interviews with 47 executives from 29 organisations involved in these explorations. 

The objective is to provide practical reference frameworks, key trends, and primary market intelligence to facilitate the healthy development of financial markets.

To establish common definitions for CBDCs, deposit tokens, and stablecoins, the study examined their underlying characteristics, including technology, price stabilisation mechanisms, and issuing entities. 

This study focused on DLT-based digital representations of sovereign currency issued by central banks, regulated banks, and non-bank financial institutions. Other DLT-based assets, such as algorithmic stablecoins, were excluded from the definitions.

Adoption of CBDC, deposit tokens, and stablecoins

The common feature among CBDCs, deposit tokens, and stablecoins is their potential for straight-through processing and end-to-end instant payments/settlements, including payment versus payment (PvP) and delivery versus payment (DvP), combined with programmability.

Adopting blockchain/DLT could revolutionise the existing settlement methods for payments and regulated assets, such as securities, which are key pillars of the financial markets. 

Project Dynamo

While well-established methods tend to be highly sticky, incumbents and stakeholders in the traditional financial markets have shown a willingness to explore blockchain/DLT for PvP and DvP to address pain points such as lengthy settlement times, lack of transparency, and high transaction costs. 

Additionally, the programmability of money and payments is an active area of experimentation for both disruptors and incumbents. 

There is significant interest in adopting blockchain/DLT for wholesale financial operations across the public and private sectors. Initiatives like Project mBridge, Jura, Helvetia, Dynamo, and Genesis, led by the BIS, are examples of such explorations. 

Financial institutions are actively exploring the adoption of DLT representations of fiat currency in both PvP and DvP scenarios, with promising developments observed in the trade finance and fixed income space. 

Non-banking industry players, particularly those involved in international trade, are also actively exploring wholesale use cases of CBDCs, deposit tokens, and stablecoins to address existing pain points associated with working capital.

Regulatory perspectives

While there is significant interest in adopting blockchain/DLT for wholesale financial operations, several regulatory challenges must be addressed. One of the initial steps in blockchain/DLT adoption is the selection of a suitable blockchain/DLT protocol.

However, there is limited industry convergence due to different views on the potential of various blockchain types and the industry’s future development.

Compliance with anti-money laundering (AML) and counter-terrorist financing (CTF) sanctions rules is another crucial regulatory consideration, given the widespread availability of digital assets.

Project Dynamo

Entities involved in these explorations generally prefer entity-level AML implementation to minimise operational complexities and have better control over the legal responsibilities and consequences within the ecosystem.

While central bank digital currencies and deposit tokens benefit from existing legal and regulatory frameworks that provide sufficient clarity, stablecoins are a relatively new concept that requires the development of new regulations or the adaptation of existing ones.

Achieving regulatory clarity and harmonisation across all three categories of digital assets is essential to encourage organisations to explore wholesale use cases further.

Regulatory bodies worldwide are actively endorsing real-world use cases of digital assets, ensuring investor protection, and addressing concerns related to AML, CTF, and other regulatory considerations.

Recent developments, such as Hong Kong’s publication of a consultation paper on stablecoins and Japan’s plan to lift the ban on foreign stablecoins, demonstrate the regulatory efforts to devise or revise regulatory frameworks for stablecoins.

However, despite these efforts, areas of uncertainty still require further clarity, particularly around the legal taxonomy of stablecoins in various jurisdictions. Consistency in legal taxonomies and licensing requirements is crucial for the widespread adoption and effective regulation of stablecoins.

This necessitates greater regulatory convergence and cross-jurisdictional harmonisation to ensure a consistent and supportive regulatory environment for stablecoins and other digital assets.

Market development and interoperability

Institutions often pursue technology initiatives independently, leading to siloed development and experimentation. However, initiatives are underway to connect these “walled gardens” and address challenges around limited interoperability. 

Leading financial market infrastructure players and technology providers work on aggregation platforms, standardised messaging guidelines, and relay chains to facilitate interoperability. 

Interoperability solutions are crucial for unlocking the full potential of CBDCs, deposit tokens, and stablecoins by enabling scalability and seamless cross-border settlement. 

Market facilitators, such as regulators and policymakers, play a vital role in fostering cross-jurisdictional cooperation and coordination to support interoperability and harmonisation in wholesale cases involving PvP and DvP.

CBDC Wholesale use cases

The adoption of CBDCs, deposit tokens, and stablecoins holds vast potential, and the BIS Innovation Hub is actively involved in experimenting and piloting various wholesale use cases. Industry participants are exploring a wide range of wholesale use cases, with the BISIH playing a catalyst role in facilitating these explorations.

Project Dynamo

PvP use cases, particularly cross-border payment settlements, are prominent, while DvP use cases involve issuing and settling various securities, such as bonds and swaps. Financial institutions emphasise the importance of digital money for efficiently settling digital assets. However, they express concerns about adopting digital money that central banks or regulated financial institutions do not issue.

Case Study: Trade Finance

As part of Project Dynamo, the Digital Trade Token (DTT) explored programmability and improved data transparency to tackle the trade financing gap for small and medium-sized enterprises (SMEs).

SMEs upstream in the supply chain often face challenges in accessing financing due to their smaller size and lack of quality collateral or sound financials. 

The DTT, a stablecoin, enables anchor buyers to send smart contract-backed conditional payments to their suppliers. Suppliers can then pass the DTT to their upstream counterparts to offset their debt or obtain working capital from institutional investors.

The importance of regulatory harmonisation

Regulatory hurdles pose significant challenges to adopting CBDCs, deposit tokens, and stablecoins. Clear regulatory frameworks are crucial for market participants to navigate compliance requirements and ensure investor protection. 

The legal classification of stablecoins, in particular, needs further clarification to establish accountability and prevent regulatory arbitrage. 

Project Dynamo

Regulatory bodies worldwide are actively working to develop or revise frameworks for digital assets, but inconsistencies in legal taxonomies and licensing requirements across jurisdictions hinder adoption efforts. 

Greater regulatory harmonisation and cooperation are necessary to foster a conducive environment for the adoption and growth of CBDCs, deposit tokens, and stablecoins.

The way forward

The adoption of CBDCs, deposit tokens, and stablecoins in wholesale financial operations is still nascent. It requires extensive coordination among market facilitators, such as regulators and policymakers, and exploration by market stakeholders, including banking institutions, non-banking institutions, financial market infrastructures, and payments companies. 

Technology and regulation are still in the early stages of development, leading to siloed initiatives within individual organisations. 

Project Dynamo

While uncertainties and regulatory hurdles remain to overcome, the potential benefits of these digital assets in transforming payment and settlement processes are substantial. 

Despite these challenges, stakeholders are encouraged to keep a close eye on potential interoperability solutions that can unlock the full potential of this new asset class in the coming years.

Market facilitators need to foster cross-jurisdictional cooperation and coordination to address discrepancies in legal taxonomies, definitions, and responsibilities, enabling responsible and sustainable progress by market participants. 

In addition, market stakeholders should continue to monitor regulatory developments and actively shape the regulatory frameworks for CBDCs, deposit tokens, and stablecoins, ensuring investor protection and facilitating the growth of these emerging asset classes.

Coordinated efforts among market facilitators and stakeholder collaboration are crucial for driving the sustainable development and adoption of CBDCs, deposit tokens, and stablecoins in the financial industry. 

With regulatory clarity, increased interoperability, and continued exploration, CBDCs, deposit tokens, and stablecoins have the potential to reshape the global financial landscape and pave the way for a more efficient and programmable future of finance.

Link

community logo
Join the Dinarian888 Community
To read more articles like this, sign up and join my community today
0
What else you may like…
Videos
Podcasts
Posts
Articles
RFK Jr: "The Pandemics are coming from labs. ALL OF THEM... Lyme, COVID, RSV, HIV & Spanish Flu came out of a vaccine lab." ☠️ 💉

"Gain-of-Function Vaccine research has created the worst plagues in our history."

"We can go down the whole list of diseases... It’s just a disaster. It’s given us no benefits. It’s given us everything from Lyme disease to Covid, and many many other diseases. RSV, which is now one of the biggest killers of children, came out of a vaccine lab."

"There’s strong evidence that even Spanish flu came from vaccine research."

"There’s plenty of evidence that HIV also came from a vaccine gain-of-function lab program. "

"The 'PANDEMICS' are coming from labs... ALL OF THEM."

00:04:00
🚀The industry has gotten incredible at teaching robots

🚀The industry has gotten incredible at teaching robots to move, sprint, and imitate body dynamics. But as Michael Parker (@bittensormax) points out in The UMI Thesis, there’s still a massive missing piece in Physical AI: Motion Understanding.

✨ Key Takeaways:

🔹Looking Human vs. Understanding Humans: Robots can execute impressive physical feats, but they still struggle to reliably read non-verbal human cues in context.

🔹Motion is Meaning: A gesture, hesitation, or glance changes completely depending on posture, timing, and surrounding context.

🔹Beyond Pixels: True intelligence requires mapping human intent and sequence across time—not just processing raw frames.

🔹The UMI Intelligence Layer: As robots enter hospitals, factories, homes, and stores, Bittensor’s SN78 @umi_sn78 UMI (Universal Motion Intelligence) aims to own the critical layer that translates human movement into real meaning.

The future of robotics isn't just about how machines move—it's about how ...

00:04:54
Follow The Money🎯

Israel Exposed launched 🤯Who Funded The Genocide🤯

A searchable database tracking pro-Israel political money in U.S. politics.

It includes:

👉 11,168 named donors + employers

👉 523 members of Congress + funding

👉 House & Senate votes on arms-transfer resolutions

👉165 candidates with network-backed fundraising pages

👉105 recipient committees linked to FEC filings

00:01:36
🚨 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

The future of cybersecurity isn't about blocking yesterday's threats—it's about defeating tomorrow's before they are even built. 🛡️⚡

​The ultimate competitive edge belongs to defenders who can instantly ingest unique zero-days, automatically generate the attack strains that don't exist yet, and ship bulletproof detections to the front lines ahead of the breach. 🔮🚀

​As legacy security platforms degrade under the weight of novel AI-driven threats, the world’s largest financial institutions won't scatter their bets. They will consolidate on the single provider capable of delivering this predictive defense at global scale. 🏦📊

​The Engine Behind the Defense:

​To stay ahead, that provider needs a constant, unrelenting supply of edge-case attacks. A decentralized subnet is the only architecture built to fuel this machine—paying a global swarm of attackers to continuously probe, create, and supply novel threats around the clock. 🌐🐝💥

​Self-evolving security is ...

🚀 Navigating Bittensor yield just got effortless! 🧠⚡️

If you’ve been looking to optimize your $TAO positions across subnets without the headache of manual rebalancing or technical friction, @TrustedStake is changing the game! 💎

The new Quickstart Guide breaks down how to get seamless exposure to top-tier AI strategies:

🎯 One-Click Index Exposure: Access curated subnet baskets (Universe, Top 15, and specialized sectors) in seconds.

🛡 Non-Custodial Security: Retain complete asset control while leveraging Substrate proxy accounts—keeping your primary stash safe in cold storage.

🔄 Automated Rebalancing & Yield Optimization: Smart TWAP execution, validator selection, and root reinvestment handle the heavy lifting to maximize your alpha.

📈 Block-Level Transparency: Real-time PnL metrics and full on-chain visibility right from your dashboard.

👇Check out the full walkthrough to get started👇
...

post photo preview

🎯 Leadpoet’s new Arena could change how businesses find their next customers 🎯

Leadpoet is launching an Arena where AI agents compete to identify companies most likely to buy, turning sales intelligence into a measurable performance competition.

🔑 Key points

🔹 Agents compete on lead quality: Systems are evaluated on whether the prospects they identify show genuine buying intent.

🔹 Better than list generation: The goal is to find likely customers rather than produce large volumes of low-quality contacts.

🔹 Real-world signals matter: Agents can analyze company activity, business changes, hiring, technology use, market behavior, and other indicators.

🔹 Performance becomes measurable: Agents can be ranked based on precision, relevance, conversion potential, and downstream sales outcomes.

🔹 Competition can improve intelligence: Different agents may identify different signals, creating a wider search across potential customers.

🔹 Sales teams gain prioritization: Businesses ...

post photo preview
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.

Source

🙏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

Read full Article
post photo preview
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.

Source

🙏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 Always Welcome 👇

XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

Read full Article
post photo preview
🤖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

Read full Article
See More
Available on mobile and TV devices
google store google store app store app store
google store google store app tv store app tv store amazon store amazon store roku store roku store
Powered by Locals