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🚨 Declassified CIA Files Expose Decades of Sky Poisoning: The Government’s Own Documents Prove They’ve Been Manipulating Our Atmosphere

With skies increasingly filled with lingering white trails that spread into unnatural haze, and extreme weather events growing more frequent and severe, once-classified U.S. government documents from the mid-1960s have resurfaced to confirm a disturbing reality: they are poisoning the skies.

These files, declassified by the CIA in 2003 and now receiving renewed attention in public discussion and media reports, reveal high-level plans to deliberately manipulate atmospheric conditions for strategic and military advantage.

An 18-page 1965 intelligence report lays out weather modification efforts in chilling detail and carries a direct endorsement from then-President Lyndon B. Johnson.

In a September 1965 letter included in the report, Johnson called the work ā€œvitally important.ā€

This came after his 1962 public declaration: ā€œHe who controls the weather will control the world.ā€

The documents expose Cold War-era determination to dominate environmental manipulation ahead of the Soviets.

The historical record is unmistakable.

Project Stormfury (early 1960s–1983) sent aircraft to seed hurricanes with silver iodide in attempts to alter storm paths and intensity.

Operations targeted storms like Hurricane Betsy in 1965, with officials claiming success in steering weather systems.

Operation Popeye (1967–1972) went further into overt warfare. U.S. Air Force planes sprayed silver iodide—and according to documented accounts, lead iodide—over Laos, Cambodia, and Vietnam to artificially prolong monsoons, flood roads, trigger landslides, and cripple enemy logistics along the Ho Chi Minh Trail.

Congressional hearings in the 1970s confirmed these chemical dispersal operations, sparking outrage that helped produce the 1977 ENMOD Treaty banning hostile environmental modification.

These were not fringe experiments...

They received massive federal funding and top executive approval.

Post-Vietnam revelations confirmed the deployment of toxic substances like lead iodide, now known to cause neurological damage and other severe health effects.

Public figures, including Health and Human Services Secretary Robert F. Kennedy Jr., have spoken out forcefully in 2025.

Kennedy has called atmospheric aerosol dispersal a grave threat and pledged accountability for any unauthorized programs involving jet fuel additives or high-altitude chemical releases.

Independent researchers present laboratory tests of rainwater, soil, and air samples showing dramatically elevated levels of aluminum, barium, strontium, and other metals—consistent with ongoing large-scale geoengineering.

The same capability demonstrated in the 1960s and 1970s never truly went away; it evolved.

Today, persistent white trails crisscross the sky, spreading out into haze that blocks sunlight and disrupts natural weather cycles.

These are not simple contrails.

They are engineered dispersions—deliberate poisoning of the atmosphere on a massive scale.

This reality is no longer confined to speculation.

State legislatures across the country are responding with urgency:

• Tennessee passed a 2024 law banning intentional chemical releases intended to influence temperature, weather, or sunlight.

• Florida enacted Senate Bill 56 in 2025, signed by Governor Ron DeSantis, making unauthorized geoengineering a felony, repealing old weather modification permits, and mandating airport reporting of suspicious aircraft modifications.

• Montana approved Senate Bill 473 in early 2025, outlawing large-scale practices like stratospheric aerosol injection while tightly regulating any remaining cloud seeding.

• More than 30 states have introduced comparable bills in recent sessions, with active progress in Iowa, North Carolina, Rhode Island, and beyond.

• At the federal level, the Clear Skies Act (H.R. 4403), introduced in 2025, aims to prohibit weather modification nationwide.

The historical record is clear: governments have poisoned the skies before in the name of control.

The trails above us today, the unnatural weather, the documented toxins in our environment—the evidence points to continuation, not conclusion.

The question is no longer if they are doing it.

The question is how much longer we allow it to continue without full exposure, accountability, and an immediate halt.

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🚨 DO NOT BE FOOLED!!

ā€‹āš ļø Keep your eyes on the big picture:

ā€‹šŸŒ«ļø This market dip is just a distraction.

ā€‹šŸ“ˆ A full-scale crypto bull market is already underway.

ā€‹šŸ” Spend 2 minutes with Tom Lee's latest insights to totally reframe your perspective on the current crypto landscape:

00:02:16
Ripple is laying down the blueprint for the entire financial system šŸŽ¬

Over a decade of bridging TradFi with blockchain:

• Payments
• Custody
• Stablecoin

Tokenize. Store. Exchange. Move value.
Utility always wins in the end. The Internet of Value is here.

00:00:47
Ripple President Monica Long announced the use of XRP-POOLS 🤯

Ripple President Monica Long announced the use of XRP-POOLS to leverage XRP as collateral for funding customers’ payments from credit card institutions.

We are talking here about TRILLIONS of DOLLARS on the XRP-Ledger!

OP: Jacktherippler

00:00:28
🚨 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

šŸ¦ Grayscale Bittensor Trust gives investors regulated access to TAO šŸ¦

Grayscale Bittensor Trust provides exposure to TAO through a traditional investment product, giving investors an alternative to buying, holding, and securing TAO directly.

šŸ”‘ Key points

šŸ”¹ The Trust holds TAO: Each share is designed to represent an interest in the Trust’s TAO holdings, less fees and expenses.

šŸ”¹ OTC trading is available: The Trust trades under the ticker GTAO on OTCQX.

šŸ”¹ Traditional brokerage access: Investors can gain TAO exposure through brokerage accounts without managing private keys or operating a Bittensor wallet.

šŸ”¹ Institutional custody is used: TAO is held through professional custodians, with BitGo serving as a primary custodian and Coinbase added as an additional custodian.

šŸ”¹ The Trust tracks an index: Its value is calculated using a Bittensor reference rate designed to reflect the market price of TAO.

šŸ”¹ Management fees apply: The Trust charges a 2.5% annual sponsor fee, along with potential ...

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šŸŒ IMF highlights Stellar and XRP Ledger in new tokenization report šŸŒ

The IMF’s October 2026 Global Financial Stability Report highlights Stellar and the XRP Ledger among blockchain networks hosting tokenized financial assets as tokenization moves toward broader financial-market adoption.

šŸ”‘ Key points

šŸ”¹ Stellar and XRPL are named: Both networks appear among the blockchain platforms being used for tokenized financial assets.

šŸ”¹ Tokenization is expanding: Financial instruments, funds, deposits, bonds, commodities, and other assets are increasingly being represented onchain.

šŸ”¹ Faster settlement is a major benefit: Tokenized assets can potentially settle around the clock with fewer intermediaries.

šŸ”¹ Programmability improves efficiency: Smart contracts can automate transfers, ownership changes, collateral movement, and payment conditions.

šŸ”¹ Fractional ownership becomes possible: Tokenization can allow assets to be divided into smaller units and accessed by a wider range of investors.

šŸ”¹ ...

Bittensor Subnets Shipping the Most Code in the Last 30 Days

UR (SN25) | @urnetwork — 21,511
Carbon (SN116) | @carbonphysicsai — 17,290
Leadpoet (SN71) | @LeadpoetAI — 14,448
Ditto (SN118) | @heydittoai — 10,233
Affine (SN120) | @affine_io — 8,296
Beam (SN105) | @b1m_ai — 7,470
Umi (SN78) | @umi_sn78 — 7,203
Reliquary (SN81) | @reliquary_ai — 3,234
Lium (SN51) | @lium_io — 2,432
Cortex (SN100) | @cortex_100 — 2,039

[Average code lines per day over the last 30 days.]

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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 

šŸ™To support my work, Helping to keep the signal high and the noise low:

šŸ‘‰ Cashapp: $thedinarian

šŸ‘‰ Buy me a coffee: https://buymeacoffee.com/thedinarian

šŸ‘‰ PayPal: Scan the QR code below šŸ“² or Click Here:Ā 

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