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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Dinarian888
?The Dinarian exists because the truth deserves a platform. Covering cryptocurrency, blockchain technology, global agendas, emerging science, and consciousness — because everything is connected and people deserve to know it. Knowledge is power. ?
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September 04, 2022
šRothschild, Rockefellers and Bilgerberg group secret societiesš
Rothschild, Rockefellers and Bilgerberg group families are secret societies.
For hundreds of years, the Rothschild and Rockefeller families have been dominating slavery, drugs, central banks, politics, false flag terror, violent overthrows of regimes, depopulation and the media.
The Rothschild and Rockefeller families are part of the āeliteā secret societies that control the world via unimaginable amounts of money.
The Rockefellers and Rothschilds are part of the illuminati secret societies and responsible for all chaos and lies you see in the news and media today.
We have all heard of certain secret societies ā like the notorious skull and bones society of Yale or the mysterious Freemasons.
Did you know all news stations are controlled by the elite? These secret societies use the news, pop stars, movies stars and sports figures as puppets to control or brainwash people. This mind control brainwashing of people has been happening since the time of the printing press.
Brainwashing people for control via all media outlets
War of the Words radio broadcast in 1938 by HG Wells was actually a test by the government (controlled by āthe eliteā) to see how American people would react when told the world was being invaded by martians.
The War of the Worlds radio show scam plan was a success, causing widespread panic. Thousands of people grabbed necessities, fleeing their homes for safety.
The War of the Worlds radio show brainwashing test is yet another example of how the government and secret societies use the news and media to brainwash and control people, much like the fake covid pandemic (plannedemic) of today.
The Rothschild family has been associated with the Dutch, British Royal families, the Rockefellers and the Vatican for more than a hundred years.
Thatās right, the Catholic Church is in on the brainwashing as well, more than you will ever know.
The Rothschild family became rich because they are genius businessmen and con artists, using their wealth for philanthropy.
In the late 1990ās, a $200 million fund at Rothschild Inc. was started, which specialized in leveraged buyouts of distressed businesses.
The Illuminati, Bush family and Brainwashing for POWER
Wars make money
The Bush family, Clinton Family, Obama Family, Biden family, Rothschilds and Rockefellers before them have been scamming and killing Americans for generations. https://www.roxytube.com/embed/A7bV2iheerKIq2j
A man named Wilbur got named the āKing of Bankruptcy.ā In 2000, he took over the $200 million Rothschild investment fund, with $250 million from investors, and named it WL Ross & Co.
He began scooping up firms in trouble, putting millions into struggling steel, coal and textile companies. In 2006, WL Ross & Co. was sold to the investment management firm Invesco for about $375 million.
During the recession of 2008, the Invesco firm took control of troubled banks in England, Greece and Cyprus. It was also part of a group that acquired a 35% stake in the Bank of Ireland during the height of Europeās 2011 debt crisis.
Rupert Murdoch
Australian born media mogul and member of the CFR and billionaire club, Rupert Murdoch has been friends with Baron Jacob Rothschild since the 1960s.
Murdoch controls the FOX Broadcasting Company and was (also) schooled at Oxford. Jacob Rothschild served as deputy chairman of Murdochās BSkyB Corporation from 2003 to 2007.
Murdoch, jointly with Jacob Rothschild, invested in a 5.5% stake in Genie, which conducts shale gas and oil exploration in amongst others Colorado and the occupied Golan Heights.
The Rockefeller and Rothschild families have controlled mostly everything since the beginning!
In Kosovo, the International Crisis Group is active; funded by George Soros, Rupert Murdoch, Goldman Sachs and J.P. Morgan.
Rupert Murdoch and his ex-wife, the Chinese born Wendi Deng, are also close to the couple Ivanka and Jared Kushner (advisors to President Trump.)
Blackstone Group ā BlackRock
Blackstone is one of the (many) investment funds of Jacob Rothschild. The Blackstone Group was founded in 1985 by Peter George Peterson and Stephen A. Schwarzman.
The CEO of Blackstone, Stephen Schwarzman, was an economic adviser to Donald Trump and chairman of Donaldās business advisory council the āStrategic and Policy Forum.ā
Stephen A. Schwarzman was initiated in Skull & Bones in 1969. Treasury Secretary Steven Mnuchin became a Bonesman in 1985.
The Secret Society, Skull and Bones, is a huge organization, which the Bush family is part of. The Bush family always ignores questions on their involvement of Skull and Bones.
In 2015, Jared and brother Josh Kushner, with Ryan Williams (of Blackstone, who became Cadreās CEO) founded the investment firm Cadre.
Kushner has also partnered with BlackRock, the worldās largest asset manager. BlackRock was founded in 1988 as part of the Blackstone Group.
According to the state media BlackRock is independent from Blackstone since 1995. The founder and CEO of BlackRock is Larry Fink.
See Stephen Schwarzman and President Trump at a meeting with business leaders at the White House on 3 February 2017.
George Soros
Rothschild agent George Soros was involved with Trump in a bankruptcy fraud with the General Motors building in New York.
George Soros (together with Goldman Sachs and Peter Thiel) funded the Cadre investment firm, with $250 million in early 2015.
Kushner āforgotā to disclose that he is indebted for more than 1 billion dollars from 20 investors, including Blackstone Group, Bank of America, Citigroup, UBS, Deutsche Bank and Royal Bank of Scotland.
In 2009, Mnuchin was involved in a group of investors that included George Soros and John Paulson to buy the IndyMac Bank that had been shut down in 2008. After they renamed it OneWest Bank it was sold a few years later with a profit of billions.
ECFR
The Dutch Turkish lawyer, Ekim Alptekin, has attracted some controversy over paying Mike Flynn $530,000 to lobby (or something) and then getting an $80,000 kickback.
Alptekin is close to Turkish President Erdogan and in 2013 became a member of the European Council of Foreign Relations (ECFR).
The ECFR was cofounded in 2007 by Mabel Wisse Smit (still one of its presidents), sister-in-law of King Willem-Alexander of the Netherlands.
ECFR was financed by George Soros (whoās also a prominent āmember.ā) Since the 1990s, Mabel has worked for the Open Society Foundation of Soros. Prince Constantijn, brother of Willem-Alexander, is also a member of the ECFR.
For information on the āphilanthropicā work of Soros and Mabel in Yugoslavia.
Jeffrey Epstein
Both the Clintons and Donald Trump were (are?) good friends with Jeffrey Epstein, who pleaded guilty to sexually abusing underage girls and running a paedophile sex ring.
Epstein was convicted to a total of 13 months in jail. Most accounts claim that every Sunday Epstein was locked up the whole dayā¦ this means that Epstein was locked up for a total of 56 whole days.
Epstein arranged underage girls for, amongst others, Prince Andrew. Donald Trump provided his private jet for Prince Andrew to meet with his good friend Epstein.
Epstein was also a member of Trumpās Mar-a-Lago, where the underage Virginia Roberts was recruited by another paedophile, the girlfriend of Epstein ā Ghislaine Maxwell.
See Nat Rothschild, Nefer Suvio, Nick Rhodes, Ghislaine Maxwell in London, July 2013.
In 1996, Lynn Forester (wife of Evelyn de Rothschild) introduced Epstein to Alan Dershowitz. Epstein quickly introduced Dershowitz to Shimon Peres and Prince Andrew.
In 2008, Alexander Acosta (now Donaldās Secretary of Labor) as US Attorney made the sweet deal with Jeffrey Epstein.
Not only did Epstein receive a very mild sentence, but it also immunised several of the paedophiles that used the āservicesā of Epsteinās sex ring (which reportedly included Alan Dershowitz.)
In 2011, Acosta wrote a letter in which he defended this decision:
Our judgment in this case, based on the evidence that was known at the time, was that it was better to have a billionaire serve time in jail, register as a sex offender and pay his victims restitution than risk a trial with a reduced likelihood of success. I supported that judgment then, and based on the state of the law as it then stood and the evidence known at the time, I would support that judgment again.
In the 2011 letter, Acosta admitted that the work release for 16 hours per day, seemed āhighly unusual treatmentā that āundermined the purpose of a jail sentenceā.
At his senate confirmation hearing, Alexander Acosta described the secret non-prosecution deal with Jeffrey Epstein as āa good thingā.
According to Acosta, Epsteinās attorneys launched āa year-long assaultā on prosecutors āmore aggressiveā than any Acosta had previously encountered. Including following witnesses and discrediting victims by publishing their social media profiles.
See Donald and Jeff with Melania Knauss (now First lady) and Epsteinās aide Ghislaine Maxwell at the Mar-a-Lago on 12 February 2000 (Trump fans claim that Donald expelled Epstein from the Mar-a-Lago in 1999ā¦)
Some of the interesting names in the little black book of Jeffrey Epstein
Donald Trump
Ivana Trump
Ivanka Trump
Evelyn de Rothschild
Jessica Rothschild (probably the daughter of Evelyn)
Hannah Rothschild (probably the daughter of Jacob)
Edouard de Rothschild (probably the son of Guy de Rothschild)
David Rockefeller
Peter Soros (nephew of George)
Henry A. Kissinger
Rupert Murdoch
Alan Dershowitz
Ehud Barak
Tony Blair
Duke of York
Duchess of York (Fergie)
Prince Bandar
Michel Prince of Yugoslavia
Princess Olga of Greece
Peter Mandelson
John Paulson
David Koch
and a bunch with the surname Kennedy
Ghislaine Maxwell is still good friends with Prince Andrew and his ex-wife Sarah Ferguson (Fergie.) See Maxwell and Fergie in New York City on 8 December 2003.
Russiagate
Some people who followed the ānewsā on āRussiagateā are sick of it by now. Maybe āRussiagateā is just another invention of the (Rothschild-controlled) media to hide āRothschildgate.ā
Peter Mandelson is a member of the Bilderberg Group and appointed ālife peerā by Queen Elizabeth. Mandelson is director of the Russian defence firm Sistema, which supplies Putinās Russia with early warning missile systems.
Oleg Deripaska is CEO of RUSAL, friends with Roman Abramovich and close to Putin. Abramovich is Putinās close confidant, and a joint shareholder along with the Russian government in Gazprom, Aeroflot, and RUSAL.
Nat Rothschild, son of Baron Jacob Rothschild, is business partners and close personal friends with Peter Mandelson, Roman Abramovich and also Oleg.
For some of the links between Oleg Deripaska ā Dmytro Firtash and former campaign chairman of Donald Trump, Paul Manafor.
Everything you see on the news media is scripted, whether you want to believe it or not.
All media outlets, sports figures, movie stars and pop stars, are puppets controlled by the Elite. The Elite consists of those with massive financial power.
The Rockefeller and Rothchild families have been involved in politics and media for generations, controlling everything to brainwash the people.
Why would they want to brainwash people you ask? They want power and a New World Order. Itās their job to keep the people against each other via racism stories and chaos.
If people are kept in the dark and against each other, then they canāt fight against the real problem, The Elite (secret societies!)
Rothschild, Rockefellers and Bilgerberg group are secret societies and have been meeting in secret for years!
https://steverotter.com/rothschild-rockefellers-and-bilderberg-group-secret-societies
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Bill Gates just said we may have to suffer a “BIG CYBER ATTACK”
Bill Gates just said we may have to suffer a āBIG CYBER ATTACKā before we ārespond as fully as we shouldā to AI.
That sounds like a threat to me.
AI false flag risk remains HIGH.
00:00:23
š¤ China reportedly deploys humanoid robot alongside armed police for Shenzhen patrols š¤
A video circulating online appears to show an EngineAI T800 humanoid robot accompanying armed officers during a community patrol in Shenzhenās Nanshan District. The footage is striking, but the robotās official role and operational capabilities remain unclear.
š Key points
š¹ EngineAI T800 identified: The humanoid platform shown is reportedly EngineAIās T800 model.
š¹ Police patrol setting: The robot appears alongside armed officers in a public community environment.
š¹ Official deployment is unconfirmed: The video alone does not establish whether this was a routine patrol, demonstration, pilot program, or promotional event.
š¹ 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.
š¹ Humanoid form fits existing environments: A human-shaped robot can potentially move through spaces, stairs, doors, and infrastructure designed for people.
š¹ Human officers ...
00:00:21
š¤ÆOur Military Is FAR More Advanced Than Your Imagination Can Conceiveš¤Æ
Chief of Space Operations Gen. Douglas Schiess at #AFA2026
š¤Æ"Let me be crystal clear. Today, Guardians operate on-orbit weapons that can defend the joint force against space-enabled attacks."š¤Æ
OP: https://x.com/USSpaceForce/status/2100940411174838394?s=20
00:00:31
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.
10gb Free Encrypted Backup š | Bittensor Hippius
šØ A $TAO SUBNET JUST SHIPPED A CONSUMER APP THAT UNDERCUTS GOOGLE DRIVE AND DROPBOX. ON YOUR PHONE. TODAY.
Hippius, SN75, is live on Google Play. iOS is next.
Your photos and files, backed up automatically and end to end encrypted on your phone before they ever upload. Same account and storage you already use on desktop and web.
Now the price.
2 TB of storage:
ā¢ Hippius Plus: $7 a month
ā¢ Google Drive: $9.99
ā¢ Dropbox: $9.99 to $11.99
30 to 42% cheaper, and it is encrypted by default. Google and Dropbox can read your files. Hippius cannot. Sign up and you get 10 GB free to try it.
Read that again.
Cheaper and more private at the same time. That combination is supposed to be impossible in cloud storage.
THE BUSINESS SIDE IS EVEN BETTER
S3 compatible storage at $6 per TB pay as you go, down to $4.65 per TB on the Enterprise plan and $4.00 per TB from 250 TB. Egress included. Works with any S3 client.
Their own comparison at the same usage: Hippius $6 a month. Backblaze B2 $977. Google Cloud Storage $8,020. ...
āļø Who controls Bittensor? The answer is spread across several layers āļø
Bittensor is not controlled by one company or one government. Its operation depends on validators, miners, subnet owners, TAO holders, developers, and the organizations maintaining the networkās core software.
š Key points
š¹ Validators control scoring: Validators evaluate miner performance and determine which contributors receive rewards.
š¹ Root validators influence emissions: Root-level validators help direct TAO emissions across competing subnets.
š¹ Subnet owners define the rules: Each subnet owner establishes the task, incentive structure, evaluation process, and participation requirements.
š¹ Miners produce the work: Miners supply models, data, compute, storage, security, research, or other specialized outputs.
š¹ TAO holders provide capital: Stakers and liquidity providers influence subnet markets through capital allocation and alpha-token participation.
š¹ Developers control the code: Core developers and ...
ā” AI scaling is hitting a wallāand Bittensor offers another path ā”
The next phase of AI development may depend less on building ever-larger centralized models and more on coordinating specialized networks of models, data, compute, and intelligence.
š Key points
š¹ Scaling costs are rising: Frontier models require massive investments in GPUs, electricity, data centers, training data, and engineering talent.
š¹ Bigger models bring diminishing returns: Increasing parameter counts and training budgets can produce improvements, but each additional gain becomes more expensive.
š¹ Data quality is becoming a bottleneck: High-quality training data is limited, while synthetic or low-quality data can reduce model performance.
š¹ Inference demand is exploding: AI agents and real-time applications require continuous model access after training is complete.
š¹ Centralized infrastructure concentrates power: A small number of companies control much of the worldās advanced compute, models, and distribution.
...
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¤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.
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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.
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The goal is not simply decentralization for its own sake.
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The goal is resilience.
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If one server fails, the system continues.
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If one company disappears, the network survives.
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If one participant leaves, innovation continues.
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But Here's the Reality
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Decentralized AI faces the same challenge every decentralized technology faces.
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Big Tech has resources. A lot of resources.
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Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
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That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
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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.
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The challenge isn't just decentralizing intelligence.
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It's decentralizing intelligence while maintaining performance.
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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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