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Trump threatens to sanction BRICS countries if they create a new currency šŸŖ™ šŸ’µ

(ANYONE ELSE THINKING XRP AS THE PERFECT SOLUTION TO THIS?~THE DINARIAN šŸ¤”)

On Saturday President elect Donald Trump wrote a social media post threatening BRICS countries with 100% sanctions if they create a new currency or try to dislodge the dollar through another alternative. However, Russia, which proposed a common BRICS currency long before it invaded Ukraine, has reservations about it. Or Russia’s central bank thinks it would be very hard to achieve.

BRICS (Brazil, Russia, India, China, South Africa) was founded as a trade group and this year expanded to BRICS+ through the inclusion of Egypt, Ethiopia, Iran and the UAE. Hence, with Russia and Iran as members it has two sanctioned countries.

Last year the group pivoted from a focus on a new single currency towards encouraging local currency payments. At the same time, there appears to be some reluctance by other BRICS members to become dependent on China’s renminbi.

In November Vladimir Putin commented, ā€œI have heard a lot of discussions at the expert and journalistic levels about the need to consider creating a single currency. However, it is too early to talk about that, and it is not a goal we have set for ourselves. To even consider a common currency, we would first need to achieve a higher level of economic integration among our countries.ā€

There has been significant discussions about BRICS Bridge, a local currency cross border payment system that uses wholesale CBDCs and blockchain. That sounds similar to mBridge the cross border system involving the central banks of China, Hong Kong, Saudi Arabia, Thailand and the UAE. The overlap encouraged the Bank for International Settlements (BIS) to withdraw from mBridge saying the project had graduated from its Innovation Hub. However, BIS leader AgustĆ­n Carstens also emphasized that the BIS cannot engage with sanctioned nations.

ā— BRICS Bridge NEEDS an intermediate currency

However, there’s a bit of chicken and egg situation. Without an intermediate currency, the success of BRICS Bridge or mBridge could be challenging beyond sanctioned nations that have no choice. That’s because local currency FX rates are often expensive. There’s a very practical reason for the dollar’s dominance.

There are 180 currencies in the world. That means there are more than 16,000 currency pairs, most of which have horrible exchange rates. The foreign exchange market is like any other – the deeper the market, the narrower the spread between the buy and sell prices, and the better the FX rate.

Hence, pretty much all currencies have their best FX rates against the US dollar. If you want to exchange Indian rupees with Hong Kong dollars, you’re probably best off trading rupees for US dollars and US dollars for Hong Kong dollars.

So while mBridge might technically create an alternative to Swift beyond the reach of US sanctions, the average business that is not in a sanctioned country will prefer to conduct transactions the way they usually do. If that’s local currency, then mBridge is fine. Often it will be US dollars.

However, the more these platforms progress, the more the need for an alternative intermediate currency will become obvious in order to achieve those optimal FX rates.

ā— Trump’s BRICS dollar comments

On his family controlled social media platform, Truth Social, one of President Trump’s posts said: ā€œWe require a commitment from these Countries that they will neither create a new BRICS Currency, nor back any other Currency to replace the mighty U.S. Dollar or, they will face 100% Tariffs, and should expect to say goodbye to selling into the wonderful U.S. Economy. They can go find another ā€œsucker!ā€ There is no chance that the BRICS will replace the U.S. Dollar in International Trade, and any Country that tries should wave goodbye to America.ā€

After Trump won the election, Putin made quite a few comments about the dollar.

ā€œAs for us in Russia, we are not abandoning the dollar, nor did we ever intend to. We have simply been denied the use of the dollar as a payment method.ā€

He continued, ā€œIt seemed to me that the dollar is like a sacred cow, something that should never be disturbed. But no, they have taken it into their own hands and essentially cut off its horns, stopped taking care of it, and instead are exploiting it recklessly. What is this? Yet, it is their own doing. Payments in dollars have not declined drastically around the world just yet, nor has its role as a means of accumulation been significantly reduced. However, even among their closest partners, the use of the dollar is slowly diminishing, and this is becoming a clear trend.ā€

ā— A digital tool from BRICS development bank?

When talking about BRICS investment in emerging markets, Putin made other comments which were not entirely clear without context. It sounds as though the BRICS New Development Bank is considering creating a new ā€˜stable’ financial instrument, a cross between an investment and an algorithmic stablecoin: ā€œWe can make these digital tools almost inflation-free, because in case of an oversupply we can withdraw some of them, and if there is a shortage, we can issue more and regulate them with the help of oversight on the part of central banks and the BRICS New Development Bank,ā€ said Putin.

Perhaps that might provide a surrogate for an intermediate currency?

https://www.ledgerinsights.com/trump-threatens-to-sanction-brics-countries-if-they-create-a-new-currency/

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šŸ‡ØšŸ‡³ CHINA reportedly plans to lift its restrictions on cryptocurrencies by the end of 2026.

ā€¼ļøBREAKING:

Just imagine what could happen when MILLIONS of Chinese investors re-enter the crypto market during the biggest bull run in history! šŸš€

THIS COULD BE HUGE! šŸ”„

00:00:14
🤣 The race for AGI 🤣

Script: Sherpa by Pocket FM
Video: Seedance 2.5

00:01:02
🚨IT'S OFFICIAL: The Florida legislature has approved the ABOLITION of statewide PROPERTY TAXES.šŸ”„
00:00:25
🚨 Chutes is being framed as a Hyperliquid-style breakout for decentralized AI inference, with live revenue, verified GPU infrastructure, and a direct challenge to centralized cloud AI 🚨

Chutes is gaining attention as a decentralized AI inference platform that claims to combine real usage, cryptographic verification, confidential computing, and open-source infrastructure into a working production system. The thesis is simple: instead of trusting Big Tech clouds with AI workloads, users get a distributed compute layer built around verification and privacy.

šŸ”‘ Key points

šŸ”¹ 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.

šŸ”¹ The platform says it has processed nearly 38 trillion tokens since launch across 53 deployed applications and more than 700,000 registered users.

šŸ”¹ 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.

šŸ”¹ Chutes is using post-quantum cryptography, trusted execution environments, and Nvidia confidential ...

🚨 Chutes is being framed as a Hyperliquid-style breakout for decentralized AI inference, with live revenue, verified GPU infrastructure, and a direct challenge to centralized cloud AI 🚨
🚨 JPMorgan’s criticism of the CLARITY Act is fueling a fresh power struggle over who gets to write America’s crypto rules 🚨

A new clash is emerging between legacy finance and crypto legislation after JPMorgan CEO Jamie Dimon reportedly warned that the CLARITY Act could let crypto firms offer bank-like products without bank-level oversight. The dispute is quickly turning into a larger fight over regulation, competitiveness, and who controls the future architecture of digital finance in the United States.

šŸ”‘ Key points

šŸ”¹ 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.

šŸ”¹ 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.

šŸ”¹ 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 🚨
šŸ‘‰ Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? šŸ”œ

The future of Crypto x AI is about to go crazy.

šŸ‘‰ Here’s what you need to know:

šŸ’  'Based Agent' enables creation of custom AI agents
šŸ’  Users set up personalized agents in < 3 minutes
šŸ’  Equipped w/ crypto wallet and on-chain functions
šŸ’  Capable of completing trades, swaps, and staking
šŸ’  Integrates with Coinbase’s SDK, OpenAI, & Replit

šŸ‘‰ 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 šŸ‘‰txns done by AI agents by 2025

🚨 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.

šŸ‘‰ Coinbase just launched an AI agent for Crypto Trading

🌐 How Data Centers Power Local Communities Beyond the Digital World 🌐

Did you know that data centers bring significant long-term economic and structural benefits to the communities they call home? Here is how hosting a data center can uplift a local area:

šŸ’° Boosts Local Tax Revenue: They generate major tax revenue that helps fund essential municipal projects, support local public services, and reduce the tax burden on residents.

šŸ‘· Creates Diverse Jobs: Data centers drive job creation across multiple phases—from construction roles during development to long-term operational positions in IT, facilities, and security.

⚔ Upgrades Local Infrastructure
Their presence leads to key utility upgrades, including modernized electrical grids, improved roads, and investments in high-speed broadband infrastructure.

šŸ« Supports Public Education & Schools: Enhanced local funding helps improve K-12 schools by supporting facility upgrades, new educational technology, and better student programs.

...

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āš ļø More Dangerous Than CBDCs āš ļø

​In this interview, former Wall Street investment banker and Assistant Secretary of Housing (HUD) Catherine Austin Fitts discusses systemic financial corruption, missing federal funds, and the shifting dynamics of digital control. She argues that while public attention focuses on Central Bank Digital Currencies (CBDCs), privately issued stablecoins pose a far more immediate threat to privacy and financial sovereignty.

​Key Breakdown & Timestamps

​1. Wall Street, Government Fraud & Whistleblowing

​Leaving Washington: Fitts details her departure from government after refusing orders to break the law [01:49].

​Targeting & Discrediting: After uncovering widespread mortgage fraud at HUD, her software tools and databases were targeted by the Department of Justice, leading to years of litigation before she was cleared [03:00].

​2. The $21 Trillion Missing Money & Secret Books

​Non-Compliance: The U.S. federal government has failed to produce audited financial statements since financial disclosure laws were ...

🚨 Cosmos Hub halts for 24 hours after Neutron governance attack drains millions 🚨

A malicious governance proposal on Neutron gave an attacker control of two applications, triggering an emergency pause and a 24-hour halt of Cosmos Hub block production.

šŸ”‘ Key points

šŸ”¹ $9.5 million initially affected: The attacker targeted Neutron-based applications Astroport and Drop.

šŸ”¹ $4.9 million drained from Astroport: A second attack on Drop removed approximately $4.4 million in assets.

šŸ”¹ Only about 20% was extracted: Most of the affected funds became trapped after the networks were paused.

šŸ”¹ Governance was the attack vector: The attacker reportedly spent approximately $20,199 to acquire enough NTRN tokens to pass the malicious proposal.

šŸ”¹ Neutron paused its network: The emergency halt trapped roughly $5 million in remaining assets.

šŸ”¹ Cosmos Hub also halted: Validators stopped block production for more than 24 hours to secure approximately 1.2 million ATOM held in the attacker’s address.

šŸ”¹ ...

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 ā€œunauthorized 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 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 ā€œunder the reasonable belief that it was an authentic government agency requestā€ – 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 ā€œlimitedā€ number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The numbers come fromĀ SmartAssetĀ (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 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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šŸ¤–Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?šŸ¤–
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.
Ā 
The Most Likely Outcome
Ā 
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.
Ā 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
Ā 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
Ā 
The companies building robots may use NVIDIA hardware.
Ā 
Train on Azure.
Ā 
Run foundation models from OpenAI.
Ā 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
Ā 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
Ā 
The Bigger Question
Ā 
The real question isn't whether decentralized AI can eliminate Big Tech.
Ā 
It can't.
Ā 
At least not anytime soon.
Ā 
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.
Ā 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
Ā 
Because the battle for the future of robotics is no longer about hardware.
Ā 
It's about who owns the intelligence.
Ā 
And that battle is just getting started.
Ā 
Ā 

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