Revolutās 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 āunauthorized third partyā 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 agencyās 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 messageās origin and integrity, but do not verify the legitimacy of the legal request itself. Revolut said that it complied with the request āunder the reasonable belief that it was an authentic government agency requestā ā 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 ālimitedā number of its customers were affected by the data leak, and that the companyās 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.  The reason this is a recurring problem is that companies are keeping highly sensitive information about their customersā identities, and sometimes even financial transactions, for a long time, and this data is then available to be disclosed to third parties ā 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. Revolutās 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 ā for legal reasons. This means that even if you close your account, your identity documents donāt disappear. And while the incident with Revolut happened in the financial sector, itās 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 ā 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. Itās 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 didnāt 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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July 10, 2024
š„ 18 Projects Announced as part of XRPL Accelerator First Launch Cohort š„
The XRPL Accelerator - Launch Program is dedicated to nurturing innovation and the development of financial use cases on the XRP Ledger (XRPL). The initiative continues to support entrepreneurs and builders looking to scale their projects on the XRP Ledger and we are excited to announce the latest cohort of projects selected for the prestigious Launch Program.
As part of our commitment to fostering innovation and development on the XRP Ledger, we have chosen a diverse group of pioneering projects that are set to revolutionize various sectors through the power of blockchain technology. With over 150 applications received, project focuses range from DeFi, DID, Infra, RWA and even verifiable credentials. These projects will receive significant support, including up to $100,000 in grant funding, mentorship from industry experts, and invaluable networking opportunities. The recent XRPL Apex 2024 event already saw some of the teams connect with the broader community and share the impressive work they are doing on the network.
Letās take a close look at some of the groundbreaking projects selected for the latest XRPL Accelerator Launch Program:
Decentralized Finance (DeFi)
Alt DRX
ALT.SQFT offers a unique approach to real estate investment by tokenizing square footage into tradeable digital assets called Property Tokens, which represent a proportional financial value in a specific property managed by a Special Purpose Vehicle (SPV). Investors can buy and sell these tokens on the Alt DRX Platform, allowing for dynamic market participation and liquidity in real estate investments. ALT.SQFT tokens offer the potential for income through interest payments and profit from property sales, but they also enable investors to engage in a transparent, efficient real estate market, receiving regular updates on valuation and the opportunity to trade at market-driven prices.
Moai Finance
Moai Finance is developing a multi-chain decentralized exchange (DEX) and cross-chain DEX aggregator to improve asset liquidity and utility within the XRP Ledger (XRPL) community. Their flagship product is an automated market maker (AMM)-based decentralized protocol that enables seamless swapping between assets on different blockchains. They want to expand their product to support XRPL Mainnet and XRPL EVM sidechain to simplify the liquidity provision and asset swap mechanisms for users.
Propto
Propto, a decentralized exchange and tokenization platform, enables commercial property owners to fractionalize and list their assets on-chain. The product allows investors with a small amount of capital to participate in the commercial real estate market. Propto's tokenization and trading functionalities utilize the XRPL's native features, such as trustlines and the DEX, to facilitate real estate token transactions.
MCĀ² Finance
MCĀ² Finance is revolutionizing the digital asset fund marketplace with its advanced infrastructure and application layer, designed to support a thriving multi-sided marketplace. The platform aims to foster a dynamic community where crypto traders, financial backers, and the community can collaborate, enhancing both learning and earning opportunities. By addressing the current fragmented market where trading strategies are manually recreated across different platforms with varying fees, MCĀ² Finance provides a streamlined, community-driven environment that supports credible and profitable trading strategies, while reducing risk and enhancing transparency.
Kodelab
The Kodelab HELOC offers instant access to flexible credit/liquidity secured against properties or other illiquid assets via public and private blockchains, in the form of Central Bank Digital Currencies (CBDC) or stablecoin. Users can draw down and repay funds up to a certain Loan-to-Value (LTV), empowering and providing users with flexible credit options. The accompanying tokenization stack, formed from some āworld-firstā legal engineering developed in conjunction with DLA Piper and Truva Corp, allows for the on-chain NFT collateral to be composed of actual property ownership rights or mortgage rights, boosting security for lenders, whilst borrowers are left with simplified and enhanced accessibility to revolving credit compared to traditional fixed-term loans.
Ryzer
Ryzer is a fintech startup that aims to revolutionize real estate investment through tokenization. They offer a platform for fractional ownership of real estate, allowing users to invest small amounts, benefit from simplified processes, and achieve greater liquidity and diversification. Ryzer provides a tokenized platform where users can buy, sell, hold, stake, lend, and borrow against real estate assets, in order to enhance the ease and flexibility of real estate investmentsā.
XPMarket
XPmarket is designing a user-centric community to unleash the full potential of the XRP Ledger. On-chain data paired with big data analysis are wrapped into a user-friendly environment, allowing a detailed overview of the XRPL community. A wide range of key infrastructure elements are being directly integrated into XPmarket that are both familiar for a novice blockchain user and advanced enough for the most sophisticated members. As a result, XPmarket aims to put all of the XRPL's capabilities at the community's fingertip.
Zoth
Zoth introduces an institutional-grade fixed income marketplace, facilitating unprecedented access to a diverse range of high-yield, secure fixed income opportunities using stablecoins. This platform bridges traditional finance and on-chain finance, accelerating asset and capital flow by leveraging efficient tokenization mechanisms for real-world assets (RWAs), enhancing liquidity, and promoting financial inclusion. Complying with stringent regulatory standards across multiple jurisdictions, Zoth ensures that investments in top-tier assets like trade finance receivables, sovereign government bonds, and corporate credit are secure and transparent, promoting a seamless integration of liquidity between TradFi and DeFi.
Infrastructure:
ChainsAtlas
ChainsAtlas is revolutionizing the way developers use their favorite Web2 programming languages on blockchain platforms by introducing an innovative Visual Studio Code extension that ensures seamless integration and universal compatibility. This tool allows the execution of traditional programming languages like C, Python, and JavaScript across multiple blockchains without the need for code modification, supporting both EVM and non-EVM chains. With ChainsAtlas, developers can achieve true horizontal scaling through parallel transaction processing, while maintaining consistent state synchronization across different blockchains, thus enhancing the efficiency and scalability of decentralized applications.
Evermore
Evermore is a start-up creating an infrastructure for the circular economy by tokenizing physical consumer products, which enables trustless and efficient resale while unlocking customer data and resale royalties for brands. Their platform supports a marketplace for peer-to-peer transactions of pre-loved items, facilitating direct engagement between brands and resale customers through digital product passports. The start-up has gained traction through partnerships and public beta launches, positioning itself at the intersection of sustainable fashion, online resale growth, and Web3 technology innovations.
Renora Technologies
Renora is a non-custodial, SaaS-based robo-advisory platform that provides passive and systematic investment strategies in digital assets. The platform features a proprietary Dips Dollar Cost Averaging (DDCA) protocol, which operates on exchanges and blockchains to help users systematically accumulate assets, generate yield, and manage liquidation and spending. Renora's technology automates the entire investment process, focusing on low costs, high liquidity, and ease of use, while also enabling self-custody and self-governance of assetsā.
Sorcel
Sorcel empowers Web3 enthusiasts and no-code users to build decentralized applications (dApps) by token-gating parts of their websites and integrating essential blockchain functionalities, such as e-commerce and voting, without needing technical expertise. Users can create exclusive experiences and private sections of their websites, accessible only to token holders, and can also offer non-transferable rewards and discounts. Additionally, Sorcel supports integration with major payment solutions like Stripe and Coinbase Commerce, alongside enabling token-based voting modules, making it a comprehensive tool for anyone looking to leverage blockchain technology in their digital spaces.
Stablecoin:
VNX
VNX Commodities is Europe's first regulated tokenization platform and stablecoin issuer, registered with the Liechtenstein FMA under the TT Token Providers and Services Act (TVTG). In 2021 VNX launched VNXAU, a multichain token backed by physical gold, later VNX launched two fully backed stablecoins: VEUR and VCHF. With this project, VNX aims to expand operations to the XRPL ledger by issuing VNX tokens on the XRPL.
Payments:
meCash
meCash is a financial technology startup that facilitates cross-border payments for small and medium-sized enterprises (SMEs) using blockchain technology. The company offers a multi-currency wallet that allows businesses to store value, hedge against currency fluctuations, and make international payments quickly and securely. Through its platform, meCash aims to simplify international trade for businesses by reducing the costs and inefficiencies typically associated with traditional payment channels.
Breezepay
Breezepay integrates with both online stores and Point-of-Sale systems, allowing users to seamlessly pay for goods and services with their cryptocurrency at the click of a button. Using the XRP Ledger, customers can unlock the value of their XRP-based assets by simply connecting their wallet to Breezepay and paying for everyday goods, similar to a card transaction.
Digital Identity (DID)
SELF
Self revolutionizes digital interaction and trust-building by ensuring that every user's identity is verified through native biometrics and anchored to their human identity, not just a proxy. This platform leverages end-to-end encrypted communications combined with ID-anchored calling and messaging, allowing true verification of all parties involved, significantly reducing the risk of impersonation and fraud. By integrating digital identity, encrypted communication, and smart ticketing, Self not only enhances regulatory compliance and convenience but also drives higher conversion rates and secures operations across various sectors from online retail to hospitality and beyond, making daily activities like traveling, shopping, and voting safer and more seamless.
Data Verifiable Credentials
Filedgr
Filedgr is revolutionizing business transparency with its Digital Certificates and Data Twin Data Hub, ensuring that companies can provide clear, secure, and verifiable information throughout the entire lifecycle of their products. By leveraging blockchain technology, Filedgr enhances credibility, operational efficiency, and consumer trust by tackling greenwashing and ensuring data authenticity from manufacturing through ownership and beyond. This platform not only supports sustainable business practices but also serves as a robust tool for risk minimization, efficiency improvement, and strengthening brand integrity, making it a vital asset for integrity-driven companies in today's market.
Social Finance (SocialFi)
Beoble
Beoble provides a secure and user-owned messaging community, enabling wallet-to-wallet communication through an end-to-end encrypted platform. This communication infrastructure not only supports most major wallets but also offers a seamless integration toolkit for Dapps, ensuring no compromise on privacy, security, or user experience. Additionally, Beoble enhances the social and messaging functionalities of Web 3.0 applications, offering modular APIs and SDKs that empower native dApps with social profiles, decentralized identity (DID), and customer support tools, thereby fostering community growth and increasing user engagement and retention.
The XRPL Accelerator is dedicated to empowering and supporting innovative projects that contribute to the growth and development of the XRPL community. These projects, spanning diverse sectors and applications, highlight the transformative potential of blockchain technology.
To learn more about the XRPL Accelerator and stay updated on upcoming opportunities, visit xrplaccelerator.org.
Stay tuned for more exciting updates as these projects progress and bring their groundbreaking solutions to life.
https://dev.to/ripplexdev/18-projects-announced-as-part-of-xrpl-accelerator-first-launch-cohort-3eb0
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RFK Jr: "The Pandemics are coming from labs. ALL OF THEM... Lyme, COVID, RSV, HIV & Spanish Flu came out of a vaccine lab." ā ļø š
"Gain-of-Function Vaccine research has created the worst plagues in our history."
"We can go down the whole list of diseases... Itās just a disaster. Itās given us no benefits. Itās 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."
"Thereās strong evidence that even Spanish flu came from vaccine research."
"Thereās 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
šThe industry has gotten incredible at teaching robots
šThe 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, thereās still a massive missing piece in Physical AI: Motion Understanding.
āØ Key Takeaways:
š¹Looking Human vs. Understanding Humans: Robots can execute impressive physical feats, but they still struggle to reliably read non-verbal human cues in context.
š¹Motion is Meaning: A gesture, hesitation, or glance changes completely depending on posture, timing, and surrounding context.
š¹Beyond Pixels: True intelligence requires mapping human intent and sequence across timeānot just processing raw frames.
š¹The UMI Intelligence Layer: As robots enter hospitals, factories, homes, and stores, Bittensorās 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 moveāit's about how ...
00:04:54
Follow The MoneyšÆ
Israel Exposed launched š¤ÆWho Funded The Genocideš¤Æ
A searchable database tracking pro-Israel political money in U.S. politics.
It includes:
š 11,168 named donors + employers
š 523 members of Congress + funding
š House & Senate votes on arms-transfer resolutions
š165 candidates with network-backed fundraising pages
š105 recipient committees linked to FEC filings
00:01:36
šØ 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 šØ
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.
š Key points
š¹ 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.
š¹ The platform says it has processed nearly 38 trillion tokens since launch across 53 deployed applications and more than 700,000 registered users.
š¹ 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.
š¹ Chutes is using post-quantum cryptography, trusted execution environments, and Nvidia confidential ...
šØ JPMorgan’s criticism of the CLARITY Act is fueling a fresh power struggle over who gets to write America’s crypto rules šØ
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.
š Key points
š¹ 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.
š¹ 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.
š¹ 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...
š Coinbase just launched an AI agent for Crypto Trading
Custom AI assistants that print money in your sleep? š
The future of Crypto x AI is about to go crazy.
š Hereās what you need to know:
š 'Based Agent' enables creation of custom AI agents
š Users set up personalized agents in < 3 minutes
š Equipped w/ crypto wallet and on-chain functions
š Capable of completing trades, swaps, and staking
š Integrates with Coinbaseās SDK, OpenAI, & Replit
š 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 štxns done by AI agents by 2025
šØ I personally wouldn't bet against Brian Armstrong and Jesse Pollak.
The future of cybersecurity isn't about blocking yesterday's threatsāit's about defeating tomorrow's before they are even built. š”ļøā”
āThe ultimate competitive edge belongs to defenders who can instantly ingest unique zero-days, automatically generate the attack strains that don't exist yet, and ship bulletproof detections to the front lines ahead of the breach. š®š
āAs legacy security platforms degrade under the weight of novel AI-driven threats, the worldās largest financial institutions won't scatter their bets. They will consolidate on the single provider capable of delivering this predictive defense at global scale. š¦š
āThe Engine Behind the Defense:
āTo stay ahead, that provider needs a constant, unrelenting supply of edge-case attacks. A decentralized subnet is the only architecture built to fuel this machineāpaying a global swarm of attackers to continuously probe, create, and supply novel threats around the clock. ššš„
āSelf-evolving security is ...
š Navigating Bittensor yield just got effortless! š§ ā”ļø
If youāve been looking to optimize your $TAO positions across subnets without the headache of manual rebalancing or technical friction, @TrustedStake is changing the game! š
The new Quickstart Guide breaks down how to get seamless exposure to top-tier AI strategies:
šÆ One-Click Index Exposure: Access curated subnet baskets (Universe, Top 15, and specialized sectors) in seconds.
š” Non-Custodial Security: Retain complete asset control while leveraging Substrate proxy accountsākeeping your primary stash safe in cold storage.
š Automated Rebalancing & Yield Optimization: Smart TWAP execution, validator selection, and root reinvestment handle the heavy lifting to maximize your alpha.
š Block-Level Transparency: Real-time PnL metrics and full on-chain visibility right from your dashboard.
šCheck out the full walkthrough to get startedš
...
šÆ Leadpoetās new Arena could change how businesses find their next customers šÆ
Leadpoet is launching an Arena where AI agents compete to identify companies most likely to buy, turning sales intelligence into a measurable performance competition.
š Key points
š¹ Agents compete on lead quality: Systems are evaluated on whether the prospects they identify show genuine buying intent.
š¹ Better than list generation: The goal is to find likely customers rather than produce large volumes of low-quality contacts.
š¹ Real-world signals matter: Agents can analyze company activity, business changes, hiring, technology use, market behavior, and other indicators.
š¹ Performance becomes measurable: Agents can be ranked based on precision, relevance, conversion potential, and downstream sales outcomes.
š¹ Competition can improve intelligence: Different agents may identify different signals, creating a wider search across potential customers.
š¹ Sales teams gain prioritization: Businesses ...
Revolut Leak Shows the Cost of Constant ID Collection
This Is The Income A Family Needs To Live Comfortably In Every US State
Hereās the short version of what it takes for a family of four to live comfortably in 2026 by state:
In Massachusetts, youād 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. Thatās a full $142,000 less than what youād need in Massachusetts.
Soā¦ 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 fromĀ SmartAssetĀ (as of February 2026). Theyāre based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These arenāt bare-minimum survival numbersātheyāre what it takes to live pretty well while still putting money aside.
And asĀ Visual CapitalistĀ notes,Ā Massachusetts sits at the very top of that list.Ā 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 theĀ second-smallest populationĀ 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 theĀ wide range in living costsĀ 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.Ā 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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š Buy me a coffee: https://buymeacoffee.com/thedinarian
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š¤Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?š¤
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
Ā
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.
Ā
Now that AI is moving into the physical world, many are asking a bigger question:
Ā
Will these same companies end up controlling robotics too?
Ā
It's a valid concern.
Ā
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.
Ā
That movement is decentralized AI.
Ā
Why Decentralized AI Exists
Ā
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.
Ā
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.
Ā
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.
Ā
Why This Matters for Robotics
Ā
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.
Ā
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.
Ā
This is where decentralized systems become interesting.
Ā
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.
Ā
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.
Ā
That vision is beginning to emerge.
Ā
Bittensor's Move Toward Physical AI
Ā
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
Ā
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.
Ā
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.
Ā
In other words, the pieces are starting to appear.
Ā
Not a decentralized robot network yet.
Ā
But the infrastructure that could support one.
Ā
Beyond Bittensor: The Rise of Physical AI Networks
Ā
Bittensor isn't alone.
Ā
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
Ā
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.
Ā
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.
Ā
The goal is not simply decentralization for its own sake.
Ā
The goal is resilience.
Ā
If one server fails, the system continues.
Ā
If one company disappears, the network survives.
Ā
If one participant leaves, innovation continues.
Ā
But Here's the Reality
Ā
Decentralized AI faces the same challenge every decentralized technology faces.
Ā
Big Tech has resources. A lot of resources.
Ā
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
Ā
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
Ā
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.
Ā
The challenge isn't just decentralizing intelligence.
Ā
It's decentralizing intelligence while maintaining performance.
Ā
That's much harder.
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The Most Likely Outcome
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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.
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Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
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At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
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The companies building robots may use NVIDIA hardware.
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Train on Azure.
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Run foundation models from OpenAI.
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But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
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The future of robotics could end up looking less like a monopoly and more like an ecosystem.
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The Bigger Question
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The real question isn't whether decentralized AI can eliminate Big Tech.
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It can't.
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At least not anytime soon.
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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.
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As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
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Because the battle for the future of robotics is no longer about hardware.
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It's about who owns the intelligence.
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And that battle is just getting started.
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