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Vechain Tech Update Series — December Edition: VeWorld, VORJ, Rewards Platform, Nodes, New dApp Kit & More
Dinarian888
December 12, 2023
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Our Technology team has been working tirelessly throughout 2023 to deliver our vision of a robust, well-rounded developer ecosystem ahead of some major ecosystem upgrades taking place in early 2024.

These new tools, products and services continue to expand the capabilities of the VechainThor blockchain, as our teams take inspiration from across the world of crypto assets. We’re incredibly proud of our achievements this year, and next year promises to be even bigger and Better.

Let’s dive in and take a look at what the tech team have been building over the past two months!

VeWorld: Vechain’s New Official Wallet

The VeWorld mobile app has seen impressive uptake to-date, with over 210,000 mobile installations split evenly between Apple and Android users.

With the VechainThor mobile wallet officially being deprecated from the 31st of December (don’t worry, your assets and Keystore remain available), we encourage all users to download VeWorld and import their wallets as soon as possible.

A full guide to migration, including video tutorials, can be found here.

VeWorld dApp Store Update

We will be imminently releasing the much-loved dApp ‘Discover’ tab in VeWorld. With this update in place, VeWorld officially reaches core feature parity with the old mobile wallet.

With its release, users will be able to seamlessly find, access, and interact with their favourite dApps, straight from the VeWorld wallet.

VeWorld Easy Integration For Builders — dApp Kit

For dApps both present and future seeking easy integration with VeWorld, life just got much easier with the launch of our official dApp Kit [linked here]!

Requiring just a few short lines of code, projects can enjoy a greatly simplified VeWorld integration process, allowing them to make use of our powerful new wallet infrastructure.

Fiat On-ramps, Ledger Live

The integration of Coinbase Pay’s fiat on-ramp has allowed users to buy VET directly from VeWorld — a brand new capability for the ecosystem. We aren’t stopping there, however — we will soon be integrating another fiat on-ramp — Coinify — to broaden user choice, and complement the full integration with Ledger Live.

The completion of Ledger Live is due in the second half of December, when VET and VTHO will become fully manageable on the Ledger Live platform. Once formally live, users will be able to purchase VET via Coinify’s fiat on-ramp directly through Ledger Live, storing their digital assets on the platform after purchase.

We continue to evaluate on-ramps and fiat service providers to provide users more choice and the best possible rates for transactions.

VORJ: Web3-as-a-Service — Breaking Barriers To Web3

We’ve been working hard on our flagship product; VORJ, pushing exciting updates and features with a regular cadence.

Alongside Quality of Life updates and improvements to the codebase, we recently added support for ERC-5660 which offers redeemable functionality to ERC-721 smart contracts. This is helping us bridge the gap between physical and digital assets, making VORJ a powerful phygital solution for the masses.

Marketplace as a Service (MaaS)

One of the most exciting upcoming products for VORJ is the first of its kind ‘Marketplace-as-a-Service’ (MaaS) module. Front-end design phase is now complete, with smart contracts recently audited by Hacken, achieving a final score of 9.6/10.

In addition, contracts have been signed with a leading third party NFT Checkout provider to enable card purchases on the MaaS platform. Following the upcoming integration, we’ll work closely with the supplier to integrate their smart contracts on Testnet, moving forward from there.

We are currently working with the product’s first enterprise client to demo and prove the technology — watch this space for updates!

Account Abstraction (ERC-4337) Integration

ERC-4337 Account Abstraction provides a new custody experience for users with the introduction of programmable smart contract wallets, providing an improved user experience and increased security.

Our implementation of ERC-4337 has been developed in conjunction with our friends at Electi Consulting and is currently under audit with established cybersecurity firm, Hacken.

Our objective is to release core account abstraction contracts on Testnet and mainnet pending the result of the Hacken audit. For more detail on account abstraction please see our section in the official docs:

https://docs.vechain.org/core-concepts/account-abstraction.

Token Bound Accounts (ERC-6551)

Token Bound Accounts allow ERC-721 and ERC-1155 tokens to have their own smart contract accounts. Yes, your NFT can have a wallet of its own!

We currently have a working implementation of ERC-6551 working on a Thor Solo node and will release the contracts on both Testnet and Mainnet in the coming weeks.

For more detail on token bound accounts please see the section in our official docs:

https://docs.vechain.org/core-concepts/token-bound-accounts.

The vechain Software Development Kit (SDK)

Our revamped Software Development Kit will greatly streamline the developer guidance, upgrading the current version to provide our builders with the most frictionless experience possible.

We’re happy to report the team is making good progress, and we intend to support the latest version of ethers, align with the hardhat public functions and have a wide collection of executable documentation publicly shared, soon.

We’re building to support our growing developer community even further.

The New Vechain dApp Kit

The vechain dApp kit is a brand new release for the ecosystem, specifically designed to foster development of vechain’s dApp ecosystem.

With it, developers can expect:

Simplified Wallet Management: Leveraging Connex technology, the ‘vechain/dApp-kit’ library offers an additional layer for easier wallet management, aligned with VeWorld and Sync2.

Enhanced UI Components: The ‘vechain/dapp-kit-ui’ library provides an array of UI components, simplifying the process of wallet selection and connection. #

React Integration: For React developers, the ‘vechain/dapp-kit-react’ library includes a set of React hooks and components for seamless integration with the dApp kit.

Language and Framework Support: The dApp kit supports a variety of languages and frameworks, including TypeScript, Vanilla JS, React, Vue, Angular, Svelte, and Next.js, ensuring flexibility and compatibility for a wide range of projects.

Customization and Extensibility: Designed for adaptability, the dApp kit allows for the integration and support of all wallets, with clear guidelines for adding your wallet via pull requests. As of today, we have opened the npm packages for general use.

Head over to the dApp kit docs and check them out!

Node Infrastructure — Health Checker & More

Updates to Node Infrastructure is another key part of our development focus ahead of next year’s plans and beyond. Updates to Node infrastructure are due in three distinct phases:

Health Checker

The Health Checker module repository has recently been open sourced, allowing users to run health checks on nodes and check if they are both running properly and synced with the network.

This module has been live for some time, but now, community nodes will also be able to benefit from integrating this component into node deployments.

More info can be found in the README section of the repo : https://github.com/vechainfoundation/node-healthcheck

Metrics Dashboard

In the second phase, we’ll introduce a metrics dashboard, detailing everything from CPU utilisation, RAM, remaining disk space, requests per second and so on.

Full-Node Deployment Infrastructure

Finally, we will begin the process of making the infrastructure for node deployment fully public.

The rationale is to offer builders all the tools they need to run high quality, reliable nodes, deployable with just a few clicks of a button. In doing so, vechain also ensures a high quality and robust technical backbone.

As always, contributions and comments from community builders are always welcomed and appreciated.

Rewards Platform Updates

Following the successful launch of our new Node Rewards Platform, we’re already launching new iterations!

The second phase of our rewards platform recently went live, enabling the ‘Instant Node Transfer’ and ‘Dutch Auction’ features. With them, you can easily and simply send a Node to a target address, or engage in an auction with a specific address of your choosing.

We’re pleased to share that the Node Marketplace has also officially gone live, meaning users can now bid, auction, sell and transfer their nodes with ease, all while enjoying the more detailed metrics, insights and data the platform has to offer.

A Busy 2023, A Busier 2024

2023 has been a year full of achievements, upgrades and fantastic building spearheaded by the many talented folks working under CTO Antonio Senatore— but we’re nowhere close to being done, yet!

We can’t wait to unveil what we’re working on for 2024. Follow us on X via vechainofficial and join us as our journey unfolds. We promise its only going to get Better from here!

About vechain:

vechain, headquartered in San Marino, Europe, is the curator of VechainThor, a world-leading smart contract platform spearheading the real-world adoption of blockchain technology.

By leveraging the capabilities of ‘trustless’ data (information without intermediaries), smart contracts, and IoT technologies, VechainThor has enabled solutions across a wide array of fields. Vechain now turns its attention to the greatest challenge of all — building digital ecosystems to drive sustainability and digital transformation at global scale.

Visit vechain.org to learn more — or follow @vechainofficial on X to stay updated!

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Dinarian888@dinarian888
7 hours ago
​🚨 BREAKING: The Final Clarity Act Bill Text is Official! 🇺🇸🔥

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

​Key updates in the final text:

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

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

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

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

00:00:09
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Dinarian888@dinarian888
September 13, 2026
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
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Dinarian888@dinarian888
September 13, 2026
🚀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
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Dinarian888@dinarian888
May 31, 2026
🚨 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 🚨
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Dinarian888@dinarian888
May 31, 2026
🚨 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 🚨
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Dinarian888@dinarian888
October 31, 2024
👉 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
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Dinarian888@dinarian888
3 minutes ago

Taiwan equities are now live on Pvth Pro

Pyth Pro is Pyth's real-time market-data service, giving exchanges, fintechs, trading platforms, and financial applications one consistent way to access prices across asset classes, regions, and local market sessions.
This launch is the next step in Pyth Pro's broader Asian equities expansion, bringing six Taiwan-listed companies into the same market-data laver used across Pyth Pro's cross-asset catalog:

• TSMC
• Foxconn
• Quanta Computer
• Wistron
• MediaTek
• Unimicron Technology

Each feed follows Taiwan's local market schedule, sc applications can access Taiwan equity data during regular trading hours through the same integration used across Pyth Pro.

For teams building global products, this makes it simpler to add Taiwan market data alongside other assets without creating a separate workflow for every new market
Taiwan, in real time

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Dinarian888@dinarian888
10 minutes ago

⚙️ Refinery turns Bittensor Subnet 125 into an optimizer research market ⚙️

Refinery (SN125) is creating a competitive marketplace where miners develop optimization techniques for AI systems, while validators evaluate how much those improvements increase speed, efficiency, or model performance.

🔑 Key points

🔹 Optimization is the product: Miners compete to improve models, workloads, algorithms, and infrastructure rather than simply producing larger systems.

🔹 Multiple objectives can be tested: Optimizers may target speed, cost, memory usage, accuracy, energy consumption, or hardware efficiency.

🔹 Validators measure real gains: Submissions must be evaluated against consistent workloads to determine whether improvements are genuine.

🔹 Competition encourages discovery: Independent contributors can explore optimization strategies that a centralized research team may overlook.

🔹 Results can benefit other subnets: Better optimization could improve inference, training, robotics, scientific ...

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Dinarian888@dinarian888
5 hours ago

⚡ While frontier labs debate AI’s pace, Bittensor is accelerating through open competition ⚡

As major AI labs debate timelines, safety, and the limits of scaling, Bittensor is taking a different path: allowing independent subnet teams to build, test, and deploy specialized AI systems in parallel.

🔑 Key points

🔹 Parallel experimentation: Bittensor allows multiple teams to work on inference, compute, robotics, cybersecurity, scientific research, data, and agent systems at the same time.

🔹 No single roadmap controls the network: Progress does not depend entirely on one company deciding which research direction deserves funding.

🔹 Subnets specialize: Each subnet can target a narrow problem and compete using its own evaluation rules and incentives.

🔹 Real products are emerging: Recent subnet activity includes AI models, GPU rentals, autonomous drones, confidential computing, scientific research tools, and security services.

🔹 Competition accelerates iteration: Miners and developers are ...

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Dinarian888@dinarian888
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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Dinarian888@dinarian888
August 28, 2026
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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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Dinarian888@dinarian888
August 16, 2026
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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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