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đź’ĄRipple announces partnership with ProprHome: the real estate revolutionđź’Ą
November 08, 2022
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Ripple, a leader in blockchain and crypto solutions, has announced a new partnership with ProprHome, a blockchain-enabled real estate marketplace, to create a renewed way to buy, sell and rent property.

The partnership, which will leverage XRP Ledger, the open source layer 1 blockchain, through an NFT utility, will provide faster, more reliable and energy-efficient transactions and improve the buying experience for potential buyers.

Specifically, Ripple, PropHome and XRP Ledger share common characteristics and purpose: efficiency, speed and transparency. Indeed, the goal of the partnership is to revolutionize the level of engagement in the typically tedious process of buying, selling and renting homes. Ripple and PropHome: here’s what to know

Ripple has announced the partnership with ProprHome, and the latter explains what the differences will be and what will change from now on. As already anticipated, PropHome is a blockchain-enabled real estate marketplace that wants to further revamp the way people buy, sell and rent property in Portugal.

All this through an NFT utility that will be minted on the fast and energy-efficient blockchain for asset tokenization, XRP Ledger.

Specifically, the speed and reliability of XRP Ledger to facilitate real estate NFTs will further simplify the way real estate clients communicate with their agents, schedule visits, make offers, and more.

Most importantly, from the moment the collaboration is active, clients will gain control over the offer and acceptance process in a real estate transaction.

With the competitive market in Portugal, an agent’s professionalism in providing the best customer experience should be a deciding factor. The merit-based system of ProprHome aims to solve this problem by providing a deeper insight to clients seeking the most suitable professionals.

In fact, through ProprHome’s NFT utility and through its partnership with Ripple, the blockchain-enabled marketplace will offer different types of tokens. First and foremost, utility tokens for digital property certificates (DOCs).

DOCs are issued when renting or buying a property using ProprHome.

Customers will receive a DOC token that they can use to prove the right of use for a particular property, thus bypassing the time-consuming and cumbersome onboarding verification and approval process.

ProprHome’s plan for this area of the business will seek to further enable these tokens to improve control and management of the various steps in the process. DOC tokens will also offer home buyers the ability to connect to various services, including utilities such as electricity, water, broadband, telecommunications, and home entertainment.

Next, reputation tokens: the ProprHome platform will have its own native token, Propr (PRP), a “reputation currency” that agents, developers and owners can earn and exchange for additional exposure.

PRP tokens will be used to incentivize a positive real estate experience by rewarding participants on the platform with tokens for good practices, such as competitive pricing. They will also effectively attract customer interest to maximize the home search experience. Why is ProprHome relying on blockchain technology?

Generally, the offer stage can be a difficult and stressful process for all parties involved in a purchase. To solve this problem, ProprHome turned to blockchain technology, such as XRP Ledger, to add transparency, trusted offers, and trust between customers and the industry, thus strengthening the transaction process.

By publicly recording all bids on XRP Ledger, ProprHome is able to provide transparent and immutable data to all parties and ensure a fairer and more productive bidding experience.

In addition, ProprHome has taken care to educate its users about the new technologies being used: blockchain, NFTs, and Ripple. In fact, it created the “Customer Education-ProprHome” project.

The latter is designed to educate and enable customers to make more informed decisions through rich, functional, community-generated content. In fact, ProprHome aims to guide the user through mini-lessons before minting an NFT.

Community benefits will also be associated with this NFT and will serve as a valuable qualifying stamp to further enrich the quality of lead provided by the platform.

John McCoy, CEO of ProprHome, following the announcement of the partnership with Ripple said:

“ProprHome and our partner Ripple share the same vision of the tokenization of assets with functional utility. We see the potential of an online real estate market that leverages blockchain technology to dramatically improve real estate interactions.

We have trusted in the reliability of XRP Ledger for over ten years to serve as our preferred blockchain for its tokenization and settlement capabilities.”

Ripple supporting sustainability: the green currency

Prior to its collaboration with PropHome, Ripple had already distinguished itself by its actions with respect to the environmental sustainability. In fact, the cryptocurrency, operating on an open source network, is also referred to as “the green currency” because of its energy efficiency. Commonly Ripple is described as an alternative currency because of the energy it harnesses.

This is because its XRP token is one of a growing number of digital coins that uses much less energy in validating transactions, compared to Bitcoin for example.

XRP transactions are also confirmed in seconds at a low cost compared to Bitcoin, which can take many minutes with high transaction costs. The XRP token can be described as a green currency because of how it was designed with sustainability in mind.

In fact, according to Ripple’s website, XRP is about 57,000 times more energy efficient than BTC. Unlike other blockchains that use Proof-of-Work, XRP Ledger confirms transactions through a unique consensus mechanism and aims to become carbon neutral in the coming years.

Through the Ripple Protocol Consensus Algorithm (RPCA), at least 80% of the network’s global validators must approve a transaction before it is added to the XRP ledger.

Over the years, Ripple has always distinguished itself from other cryptocurrencies by its innovative technology. The company calls itself a payment solution provider because of its main focus on using cryptocurrency to enable cross-border payments.

In addition to the XRP token, which solves the environmental problem by being energy efficient, it solves cross-border problems through its RippleNet network. Ripple and the goal on sustainability of the planet by 2030

Already last year, Ripple had given way to talk about sustainability. In fact, it had added its voice to the ongoing cryptocurrency sustainability pool with the announcement that it aims to achieve zero carbon emissions by 2030. It has also collaborated with various sustainability leaders to achieve that goal.

In the tweet on 15 May, Ripple (XPR) described a number of aspects of its environmental strategy. This included a list of their partners, which already includes the Bill & Melinda Gates Foundation, Mercy Corps, Mojaloop Foundation, and the Institute for Business and Social Impact among them.

Overall, Ripple has non-governmental organization (NGO) partners in more than eighty countries. Now, sustainability leaders such as the Renewable Energy Buyers Alliance (REBA), the Energy Web Foundation, and Watershed have joined their ranks.

In addition, Ripple had also raised its concerns about the unbanked, stating:

“Our current global financial system does not meet the needs of 1.7 billion bankless people. Digital assets and distributed ledger technology (DLT) have the potential to transform the way populations without banks and sub-banks access basic financial services and send and receive money across borders, making it more accessible, convenient and secure.”

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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
September 19, 2026
🤯Our Military Is FAR More Advanced Than Your Imagination Can Conceive🤯

Chief of Space Operations Gen. Douglas Schiess at #AFA2026

🤯"Let me be crystal clear. Today, Guardians operate on-orbit weapons that can defend the joint force against space-enabled attacks."🤯

OP: https://x.com/USSpaceForce/status/2100940411174838394?s=20

00:00:31
September 17, 2026
🚀 Score Studio is officially LIVE today on the Bittensor network (SN44)!

For too long, computer vision workflows have been fragmented across scattered labeling tools, messy notebooks, disparate model hubs, and complex deployment stacks. 🧩⚡

We brought the entire lifecycle into one unified workspace:

  • 🎨 Annotate
  • đź§  Train
  • 📊 Evaluate
  • 🚀 Deploy

No more switching between a dozen apps to get a vision model into production.

đź”— Try it free: scorestudio.ai

00:00:25
🚨 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:

đź’  'Based Agent' enables creation of custom AI agents
đź’  Users set up personalized agents in < 3 minutes
đź’  Equipped w/ crypto wallet and on-chain functions
đź’  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

📊 Chutes opens 6–12 billion AI requests for Harvard research to improve future AI systems 📊

Chutes is reportedly making a massive collection of AI-request data available for Harvard research, creating an opportunity to study how people actually use models across real-world workloads.

🔑 Key points

🔹 6–12 billion requests are involved: The dataset represents a large volume of AI interactions collected through Chutes’ infrastructure.

🔹 Real usage is the focus: Instead of relying only on artificial benchmarks, researchers can study how people use AI in practice.

🔹 Requests reveal user behavior: The data may show common tasks, prompt patterns, model preferences, failure points, and evolving workflows.

🔹 Research could improve AI systems: Findings may support better model training, evaluation, routing, safety systems, and user experiences.

🔹 Workloads can expose gaps: Real-world requests often include ambiguous instructions, long context, specialized topics, and multi-step tasks that ...

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📱 Hippius Cloud Storage launches on Android, with iOS release next 📱

Hippius Cloud Storage is now available on Android, bringing encrypted backups, decentralized file storage, and mobile access to users on the go.

🔑 Key points

🔹 Android app is live: Users can access existing Hippius accounts and storage through the Google Play Store.

🔹 Automatic backups: Photos and files can be backed up directly from Android devices.

🔹 Encryption happens on the phone: Files are encrypted before they are uploaded to the Hippius network.

🔹 Decentralized storage: Encrypted files are distributed across independent miners instead of being held by one centralized provider.

🔹 Reed-Solomon coding adds redundancy: Data is split and stored across multiple nodes, helping preserve availability if individual nodes go offline.

🔹 Cross-device access: Users can synchronize files across supported web, desktop, and mobile environments.

🔹 Hippius extends beyond personal storage: The platform also supports ...

đź”»THE CRYOGRAPHY OF REGENERATION: HOW YOUR DNA SINGS ITS WAY BACK TO HEALTH.

In 2011, Nobel Prize-winning virologist Dr. Luc Montagnier published a study that terrified the pharmaceutical establishment.

He placed a tube of pure, sterile water next to a sealed tube containing a fragment of human DNA. He did not mix them. He did not use chemicals. He simply exposed them to a very weak, 7 Hertz electromagnetic frequency background.

18 hours later, using standard laboratory PCR technology, Montagnier analyzed the pure water tube.

The water had structured itself into a perfect electromagnetic replica of the DNA. The water was broadcasting the exact same frequency as the genetic material.

Water remembers. Water copies. Water broadcasts.

Your body is 70% biological battery, and that battery is filled with structured H3O2 water.

When a toxic system wants to suppress your health, they do not just attack your cells—they distort the frequency environment. EMF radiation, synthetic chemical residues, and pharmaceutical ...

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

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

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

Revolut claims that derived biometric face data was not.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Rank State Income needed for family of four (2026)

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

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

Colorado and Vermont Make the Top 10

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

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

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

Just Six States Come in Below $200,000

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

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

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

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

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