Dinarian888
News • Business • Investing & Finance
?The Dinarian exists because the truth deserves a platform. Covering cryptocurrency, blockchain technology, global agendas, emerging science, and consciousness — because everything is connected and people deserve to know it. Knowledge is power. ?
Interested? Want to learn more about the community?
Opening Remarks at Peer-Learning Series on Digital Money/Technology: Central Bank Digital Currency and the Case of China

Krishna Srinivasan, Asia and Pacific Department Director, IMF

July 7, 2022

Good morning, everyone, and good evening if you’re in the Western Hemisphere. Thank you for joining in today’s event on Central Bank Digital Currency and the Case of China. As Alfred indicated, this is the second event in our new series of events on digital money and technology in the Asia-Pacific region.

Digital money and technologies can significantly change the landscape for financial systems and bring important benefits to the public at large. Among other things, they could foster financial inclusion, create new value-added in the economy, and reduce transaction costs, including across borders. The digital money/technology series covers a broad range of topics, and so allow me to make a few general points.

As with any innovation, the challenge is to find the right balance between fostering innovation and maintaining stability and protection for consumers and investors. We will hear about CBDCs in greater detail today, but let me also highlight the critical point we find ourselves in for crypto assets. For example, the recent crypto market crash— triggered by the de-pegging of a large algorithmic stablecoin and exacerbated by the collapse of over‑leveraged financial institutions in digital asset banking and trading—highlights the risks created by regulatory shortcomings. As the size of digital assets grow, without proper regulation, the systemic risks that the sector poses will increase.

The stakes are particularly high for Asia and the Pacific, where many people see digital finance as an opportunity to build and exploit new drivers of growth and innovation. Several countries in the region are at the cutting edge of new developments stemming from the rise of private and public digital assets. New crypto assets and associated products and services proliferated in the region with transaction volumes of crypto assets in many countries among the highest in the world.

Policy makers are keen to monitor the risks emanating from the digital finance sector, with many activities still unregulated but expected to have broader impact. We can and should learn from each other’s experiences. This peer-learning series thus highlights the experiences of countries in the region in regulatory guidance for the development of digital finance. Today’s event focuses on China’s experience with central bank digital currency, the e-CNY.

The IMF has set out an ambitious agenda for understanding the implications of fintech and digital assets for the global economy. For the Asia and Pacific Department, our goal will be to monitor and advise on these rapidly evolving areas for our member countries, and establish much closer interaction with member countries and key stakeholders. In particular, we’ll strive to provide timely advice and capacity development assistance to small states, low-income countries, and emerging markets and developing countries in coordination with the IMF’s Monetary and Capital Market Department.

As such, a lot of analytical work is underway on a broad set of issues. As it related to CBDCs, I want to highlight a survey of 36 Asian economies we conducted earlier this year to help us understand the steps countries have taken in their consideration of CBDCs and how crypto falls into this landscape. The note summarizing the survey will be released later this year, but for now let me share four key findings with you:

Finally, while there is a significant interest in CBDCs, very few countries are actually likely to issue them in the near to medium terms. Most countries in the region have shown interest, with work ranging from preliminary research and development to launching live pilots.

Third, the decision to adopt or explore CBDCs is closely linked with the rapid increase in the use of crypto assets in the economy, as well as attempts at regulation. For example, in Indonesia, the Philippines, and Vietnam, the uptick in crypto usage for remittances and investment among individuals has policymakers considering the tangible benefits of technological innovation, including lower cost and improvements in payment systems.

Second, several factors drive CBDC interest: The higher income countries seek to enhance the efficiency and safety of the payment system, while emerging market economies are looking to promote financial inclusion and financial stability. Some countries simply do not want to fall behind the curve, either because of regional peers or the private sector.

First, we find that the Asia and Pacific region is at the forefront of the CBDC exploration, and interest in CBDCs continues to rise. Even though no Asian country has formally launched a CBDC yet, China and India—the world’s most populous countries—are frontrunners for doing so in the near future. Other economies, including Hong Kong Special Administrative Region and Singapore are relatively advanced in their work on CBDC, while some countries including Japan, Korea, and Australia have done extensive research.

Let me also use this forum to highlight that in addition to our work on CBDCs, we have done several studies on private digital assets, including empirical analyses on the drivers of crypto asset adoption across countries and the impact of policy actions.

Regarding the effect of policy on adoption, we find that crypto bans reduce crypto activities in the short term. However, because bans are difficult to enforce, the effect diminishes over the long term, even when regulations are strict. Also interesting, announcing a plan to issue a CBDC, likewise, dampens crypto activities.

Our research also shows that the crypto market can increase dollarization, as U.S. dollar stablecoins crowd out local currencies in crypto markets. This effect is stronger in countries with higher inflation and currency instability. The study points to regulated, local‑currency-backed stablecoins issued by the private sector as an alternative to retail CBDCs.

We find that the rate of crypto adoption is greater in countries with higher digital penetration and remittances as well as weaker macroeconomic fundamentals—such as high inflation. Informality, corruption and the degree of capital controls are also positively associated with higher crypto adoption. These highlight the importance of implementing proper tracking of crypto activities and improving regulations.

Looking forward, we have several analytical projects at various stages of execution.

We’re also planning a series of more technical CBDC research to our support our capacity development efforts. This includes CBDC infrastructure and design options for emerging markets and developing economies. It also includes a framework for deciding if and how to adopt a CBDC, and the implications for monetary policy and cross-border transmission of shocks.

For the Pacific Island countries, we are undertaking analytical work to examine the prospects for digital currencies (including CBDCs) and to set up a framework to help the countries assess the costs and benefits of digital currency adoption as well as potential policy implications.

Given the importance of these topics for our membership and the IMF, digitalization is now regularly discussed with the authorities during our annual Article IV dialogues and covered in corresponding IMF staff reports. In particular, the Article IV consultations will focus on digital money issues for countries at the forefront of these issues (such as some Pacific Island countries and we will continue to closely cover developments in China) and countries with the potential to adopt CBDCs and/or encounter other digital finance issues soon.

I am very pleased that today we can bring together colleagues and friends from the People’s Bank of China and the Hong Kong Monetary Authority, as a well as international experts on these issues. China’s experience and pilots with the e-CNY could hold useful lessons for other countries as they search for ways to navigate the fast-changing digital finance landscape.

I am sure that this series of events in general and today’s event on CBDC and the case of China in particular will be very useful for us all. Thank you.

Let me now pass the baton to the moderator Yiping Huang.

https://www.imf.org/en/News/Articles/2022/07/07/sp070722-central-bank-digital-currency-and-the-case-of-china

post photo preview
Interested? Want to learn more about the community?
What else you may like…
Videos
Podcasts
Posts
Articles
They Are Making It Easier And Easiet For The Average Joe To Trade 😉

X partners with crypto and stock exchanges to allow trading from the timeline.

•GGeiin
•Kraken
•Moomoo
• Coinaas

00:00:40
September 22, 2026
Bill Gates just said we may have to suffer a “BIG CYBER ATTACK”

Bill Gates just said we may have to suffer a “BIG CYBER ATTACK” before we “respond as fully as we should” to AI.

That sounds like a threat to me.

AI false flag risk remains HIGH.

00:00:23
September 20, 2026
🤖 China reportedly deploys humanoid robot alongside armed police for Shenzhen patrols 🤖

A video circulating online appears to show an EngineAI T800 humanoid robot accompanying armed officers during a community patrol in Shenzhen’s Nanshan District. The footage is striking, but the robot’s official role and operational capabilities remain unclear.

🔑 Key points

🔹 EngineAI T800 identified: The humanoid platform shown is reportedly EngineAI’s T800 model.

🔹 Police patrol setting: The robot appears alongside armed officers in a public community environment.

🔹 Official deployment is unconfirmed: The video alone does not establish whether this was a routine patrol, demonstration, pilot program, or promotional event.

🔹 Its actual role remains unclear: The robot may be used for public engagement, observation, crowd visibility, data collection, or testing rather than direct law enforcement.

🔹 Humanoid form fits existing environments: A human-shaped robot can potentially move through spaces, stairs, doors, and infrastructure designed for people.

🔹 Human officers ...

00:00:21
🚨 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

⚙️ Bittensor runtime v468 completes Root Reborn with copy-trading and active basket yields ⚙️

Runtime v468 completes Bittensor’s Root Reborn upgrade, giving root validators greater control over subnet-token rewards earned by their stakers.

🔑 Key points

🔹 Automatic conversion changed: Previously, subnet rewards earned through root were automatically converted into TAO, creating regular selling pressure on subnet tokens.

🔹 Rewards now remain in baskets: Root rewards are held as subnet tokens inside validator-linked baskets.

🔹 Validators can manage baskets: They can move value between subnets, reduce positions, or hold part of the basket in TAO.

🔹 Copy-trading is introduced: Stakers’ rewards can follow the allocation strategy managed by their selected root validator.

🔹 Original TAO stake remains separate: The basket contains earned rewards, while the staker’s original TAO position remains distinct.

🔹 Stakers retain control: Users can claim rewards, switch validators, or leave ...

🌎 Schumann Resonance Today 9/23 🌎

Right now the Schumann resonance fundamental sits at 7.83 Hz, with geomagnetic activity quiet (Kp 2.0).

post photo preview

✨ Scientists study how living cells may communicate through light ✨

Researchers are investigating ultra-weak flashes of light, known as biophotons, that are produced inside living cells and may be connected to mitochondrial activity.

🔑 Key points

🔹 Biophotons are extremely weak light emissions generated by living cells.

🔹 Mitochondria are considered an important source because cellular energy production involves electron movement and oxidative reactions.

🔹 The emissions are invisible to the human eye and require highly sensitive photon-detection equipment.

🔹 Researchers are exploring whether biophotons may help coordinate activity inside cells or between nearby cellular structures.

🔹 Mitochondrial stress and metabolic changes may influence the intensity and pattern of these emissions.

🔹 Biophoton activity may be connected to cellular signaling, energy regulation, repair processes, and responses to environmental stress.

🔹 The research connects biology, photochemistry, mitochondrial...

post photo preview
September 13, 2026
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