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VeBetterDAO Endorsements - Decentralizing Governance, Driving A Community-Powered Ecosystem
Dinarian888
November 19, 2024
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This week, the VeBetterDAO team are excited to introduce the 'Endorsement' mechanism – an innovative new way for Economic and X node holders to play an active role in platform governance, and further decentralize the Better ecosystem.
 
In the initial version, apps must obtain a minimum score of 100 points – awarded by Nodes (detailed scoring below) - to be eligible for active participation in weekly allocation rounds. By working with Node holders – a key pillar of governance in the VeChainThor ecosystem – the community can drive quality and reliability across the VeBetterDAO platform.
 
The endorsement process empowers all stakeholders by facilitating transparent and collaborative two-way interactions among key ecosystem participants, with aligned interests in driving the best future outcome for the platform.
 

Why Endorsements Matter

Endorsements mark a key step towards the Better ecosystem’s longer-term objective of decentralizing decision-making, and placing power in the hands of the community. This includes choosing which apps are eligible to join the platform, and ultimately earn weekly governance rewards – a role that currently sits with the VeChain Foundation.
.
As a key part of the VeChain governance network, we welcome and encourage active and engaged Economic and X-Node holders to work with builders and the community, as well as the VeChain team, to drive the platform forward.
 

How Endorsements Work

With endorsements now live, each app in the VeBetterDAO ecosystem requires a total score of 100 to be eligible for allocation rounds - all apps have a grace period of 2 weeks from the start of Round 21 to be able to obtain the requisite score.
 
Scoring is based on endorsements from Economic and X nodes, with each tier contributing a specific value. Apps can receive endorsements from multiple nodes, allowing them to gradually accumulate points to reach the required total.
  • Node Influence: Different node levels contribute different scores. Higher-level nodes offer a greater impact on an app’s score, ensuring that endorsement power aligns with node responsibility.
  • Grace Period for Score Recovery: If an app’s score drops below 100 due to a loss of endorsements, it enters a two-week grace period. During this time, the app remains active but must regain the required score; otherwise, it will be marked inactive for allocation rounds after the grace period expires. However, inactive apps remain visible in the app section, allowing them to continue seeking endorsements.
  • Flexible Endorsement Management: Both nodes and apps can withdraw endorsements. If a node removes its endorsement and the app’s score falls under 100, the app has two weeks to secure new endorsements. Apps may also remove specific endorsements from nodes at any time if they choose, providing flexibility and alignment with their goals.

New Apps: Decentralizing Entry into VeBetterDAO’s Ecosystem

New app creators can now initiate their journey with VeBetterDAO by submitting an application form directly on the platform. Upon approval, they receive a Creator’s NFT, which allows them to submit their app for endorsement through the VeBetter platform directly, as well as join the endorsement channels on Discord to connect with Node holders.
 
During this time, the app will become visible in the VeBetterDAO app section with a “looking for endorsement” status.
  • Application and Verification: Submit your app through VeBetterDAO, and upon eligibility, receive a Creator’s NFT to apply for endorsement.
  • Connect with Node Holders: Using the Creator’s NFT, join a dedicated Discord channel where you can interact with node holders to discuss endorsements, building valuable connections within the ecosystem.
  • Visibility While Pending: Apps in the endorsement-seeking phase are visible in the app section, enabling users to explore and interact with their profile. Creators have the flexibility to manage endorsements and may remove any node’s endorsement at their discretion.

Creators NFT

The Creators NFT is an ERC721 Token (non-transferable) minted to creators submitting their app for the first time.
 
A user can hold a maximum of one NFT per wallet, irrespective of the number of X-Apps they manage. Additionally, app administrators, through the app detail page in VeBetterDAO, may mint up to three NFTs for team members, with the ability to revoke them.
 
The burn policy dictates that a creator's NFT will be burned if the associated X-App is blacklisted, and the user has no other active X-Apps.
 

Existing Apps: Transitioning to the New System

Existing apps will be integrated into the endorsement system with a two-week grace period to obtain the required 100-point score. If an app does not secure sufficient endorsements within this time, it will be marked as inactive in allocation rounds.
 
However, the app will still be visible in the VeBetterDAO app section, where it can continue seeking endorsements until reactivated.
 

Economic and X Node Holders: The Backbone of VeChainThor

Economic and X node holders are now at the heart of VeBetterDAO’s app endorsement mechanism. By logging into the VeBetter platform and connecting wallet, Node holders can the explore apps and provide endorsement as they see fit.
 
Node holders are invited to join a dedicated Discord channel where they can connect to our bot and access a special channel for communicating directly with app creators, on topics from app objectives to potential impact, before making endorsement decisions.
 
Please note: Connecting your wallet on Discord is done solely for verification purposes, and to ensure users hold the relevant NFT. VeChain does not store any personal information and has no access to users' wallets or funds.
  • Influence and Responsibility: The app ecosystem’s quality is in your hands, making node holders responsible for setting VeBetterDAO’s standards and future direction.
  • Engage with App Creators: In the dedicated endorsement Discord channel, node holders can chat with app creators, discussing endorsement possibilities and app goals.
  • Flexible Endorsement Choices: Node holders have the flexibility to remove their endorsements at any time or switch support to different apps, ensuring alignment with the most promising projects in the ecosystem.
Node holders and app creators can mutually agree on the terms of endorsement, defining expectations from both sides.
 
App creators may offer shares, tokens, rewards, exclusive features, experiences, or prizes to node holders who endorse their apps. In return, node holders can provide endorsements, support by engaging with the VeChain community, and assist with the app's operations and daily activities.
 
There are no mandatory requirements or formal agreements; the terms are left to the discretion of the apps and node holders to discuss and negotiate an arrangement that best meets their needs.
 

Check Out VeBetterDAO Endorsement - Putting Power In Your Hands

Come explore VeBetterDAO’s app ecosystem and learn more about how you can play an active role in the future development of the platform. Visit the website, connect with the community and l et's build the future, together!
 
 
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Dinarian888@dinarian888
14 hours ago
​🚨 BREAKING: The Final Clarity Act Bill Text is Official! 🇺🇸🔥

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

​Key updates in the final text:

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

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

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

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

00:00:09
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Dinarian888@dinarian888
September 13, 2026
RFK Jr: "The Pandemics are coming from labs. ALL OF THEM... Lyme, COVID, RSV, HIV & Spanish Flu came out of a vaccine lab." ☠️ 💉

"Gain-of-Function Vaccine research has created the worst plagues in our history."

"We can go down the whole list of diseases... It’s just a disaster. It’s given us no benefits. It’s given us everything from Lyme disease to Covid, and many many other diseases. RSV, which is now one of the biggest killers of children, came out of a vaccine lab."

"There’s strong evidence that even Spanish flu came from vaccine research."

"There’s plenty of evidence that HIV also came from a vaccine gain-of-function lab program. "

"The 'PANDEMICS' are coming from labs... ALL OF THEM."

00:04:00
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Dinarian888@dinarian888
September 13, 2026
🚀The industry has gotten incredible at teaching robots

🚀The industry has gotten incredible at teaching robots to move, sprint, and imitate body dynamics. But as Michael Parker (@bittensormax) points out in The UMI Thesis, there’s still a massive missing piece in Physical AI: Motion Understanding.

✨ Key Takeaways:

🔹Looking Human vs. Understanding Humans: Robots can execute impressive physical feats, but they still struggle to reliably read non-verbal human cues in context.

🔹Motion is Meaning: A gesture, hesitation, or glance changes completely depending on posture, timing, and surrounding context.

🔹Beyond Pixels: True intelligence requires mapping human intent and sequence across time—not just processing raw frames.

🔹The UMI Intelligence Layer: As robots enter hospitals, factories, homes, and stores, Bittensor’s SN78 @umi_sn78 UMI (Universal Motion Intelligence) aims to own the critical layer that translates human movement into real meaning.

The future of robotics isn't just about how machines move—it's about how ...

00:04:54
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Dinarian888@dinarian888
May 31, 2026
🚨 Chutes is being framed as a Hyperliquid-style breakout for decentralized AI inference, with live revenue, verified GPU infrastructure, and a direct challenge to centralized cloud AI 🚨

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

🔑 Key points

🔹 Chutes is live in production and reportedly scaled to more than 1,170 active GPU nodes, including large numbers of Nvidia H200s and Blackwell-class hardware.

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

🔹 The team reportedly cut unprofitable usage programs, reduced total token volume, and still improved revenue efficiency, with revenue per GPU rising sharply after removing subsidized traffic.

🔹 Chutes is using post-quantum cryptography, trusted execution environments, and Nvidia confidential ...

🚨 Chutes is being framed as a Hyperliquid-style breakout for decentralized AI inference, with live revenue, verified GPU infrastructure, and a direct challenge to centralized cloud AI 🚨
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Dinarian888@dinarian888
May 31, 2026
🚨 JPMorgan’s criticism of the CLARITY Act is fueling a fresh power struggle over who gets to write America’s crypto rules 🚨

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

🔑 Key points

🔹 Jamie Dimon reportedly called the CLARITY Act a threat to the financial system, arguing it could allow crypto firms to offer yield-like products while avoiding the capital, reserve, and oversight burdens traditional banks face.

🔹 Senator Cynthia Lummis pushed back publicly, framing the issue as a global strategic race and warning that if the U.S. does not set digital asset standards, other powers will.

🔹 The core tension is whether the bill creates legitimate regulatory clarity or simply opens the door to regulatory arbitrage for crypto platforms operating outside the traditional banking...

🚨 JPMorgan’s criticism of the CLARITY Act is fueling a fresh power struggle over who gets to write America’s crypto rules 🚨
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Dinarian888@dinarian888
October 31, 2024
👉 Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? 🔜

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

👉 Here’s what you need to know:

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

👉 What this means for the future of Crypto:

1. Open Access: Democratized access to advanced trading
2. Automated Txns: Complex trades + streamlined on-chain activity
3. AI Dominance: Est ~80% of crypto 👉txns done by AI agents by 2025

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

👉 Coinbase just launched an AI agent for Crypto Trading
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Dinarian888@dinarian888
1 hour ago

🪰 FutureBit’s HashFly is a Bitcoin-themed fruit-fly brain experiment—not a new mining breakthrough 🪰

FutureBit’s HashFly demo reconstructs part of a fruit-fly neural circuit and connects its activity to SHA-256 block-header processing. The experiment is real, but the claims about replacing ASIC miners are not.

🔑 Key points

🔹 2,914 measured connections: HashFly uses a small, static subset of the fruit-fly connectome.

🔹 SHA-256 is the novelty: The reconstructed circuit is being used to visualize or process Bitcoin-style hashing activity.

🔹 No organic mining farm exists: Real flies, living neurons, or biological tissue are not hashing Bitcoin on a mining pool.

🔹 The 1 W/TH claim is hypothetical: The comparison with 3-nanometer ASICs is a thought experiment—not a measured performance result.

🔹 Brains and ASICs solve different problems: Biological systems are efficient at adaptive tasks, while SHA-256 requires rigid, high-precision digital computation.

🔹 Hashrate is negligible: ...

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Dinarian888@dinarian888
6 hours ago

Taiwan equities are now live on Pvth Pro

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

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

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

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

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Dinarian888@dinarian888
6 hours ago

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

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

🔑 Key points

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

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

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

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

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

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Dinarian888@dinarian888
September 13, 2026
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Revolut Leak Shows the Cost of Constant ID Collection
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an “unauthorized third party” reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

Revolut claims that derived biometric face data was not.

The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency.

The email passed several authentication checks (SPF, DKIM, and DMARC) that are designed to establish the authenticity of a message’s origin and integrity, but do not verify the legitimacy of the legal request itself.

Revolut said that it complied with the request “under the reasonable belief that it was an authentic government agency request” – and only later found out that it was not.

Revolut said it later realized its mistake, blocked the email address, and reported the incident to the relevant authorities.

Revolut said that only a “limited” number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen.

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

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

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

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

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

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

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

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

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

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Dinarian888@dinarian888
August 28, 2026
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This Is The Income A Family Needs To Live Comfortably In Every US State

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

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

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

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

The numbers come from SmartAsset (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And as Visual Capitalist notes, Massachusetts sits at the very top of that list. Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

  • 1 - Massachusetts - $329,555
  • 2 - Hawaii - $313,165
  • 3 - California - $302,682
  • 4 - Connecticut - $298,189
  • 5 - New Jersey - $295,110
  • 6 - New York - $291,533
  • 7 - Colorado - $283,213
  • 8 - Washington - $281,798
  • 9 - Oregon - $280,966
  • 10 - Vermont - $280,384
  • 11 - Alaska - $272,064
  • 12 - New Hampshire - $267,904
  • 13 - Rhode Island - $264,659
  • 14 - Minnesota - $263,078
  • 15 - Maryland - $257,837
  • 16 - Maine - $250,931
  • 17 - Montana - $249,434
  • 18 - Pennsylvania - $247,936
  • 19 - Illinois - $244,109
  • 20 - Virginia - $242,944
  • 21 - Nevada - $242,278
  • 22 - Indiana - $241,696
  • 23 - Wisconsin - $238,451
  • 24 - Arizona - $236,870
  • 25 - Utah - $235,789
  • 26 - Delaware - $228,134
  • 27 - Ohio - $226,221
  • 28 - Idaho - $226,054
  • 29 - Florida - $223,392
  • 30 - New Mexico - $223,142
  • 31 - Nebraska - $223,059
  • 32 - Missouri - $217,734
  • 33 - Georgia - $214,573
  • 34 - Michigan - $214,323
  • 35 - South Carolina - $212,909
  • 36 - North Carolina - $212,410
  • 37 - Wyoming - $212,410
  • 38 - Oklahoma - $211,910
  • 39 - North Dakota - $210,496
  • 40 - Kansas - $207,917
  • 41 - Iowa - $204,422
  • 42 - Texas - $203,424
  • 43 - West Virginia - $202,592
  • 44 - South Dakota - $201,760
  • 45 - Alabama - $198,931
  • 46 - Louisiana - $197,933
  • 47 - Tennessee - $197,267
  • 48 - Arkansas - $195,437
  • 49 - Kentucky - $194,854
  • 50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having the second-smallest population of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite the wide range in living costs across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky. The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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Dinarian888@dinarian888
August 16, 2026
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🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
 
Now that AI is moving into the physical world, many are asking a bigger question:
 
Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
 
That movement is decentralized AI.
 
Why Decentralized AI Exists
 
The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
 
Why This Matters for Robotics
 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
 
This is where decentralized systems become interesting.
 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
 
Imagine a future where:
  • Warehouse robots contribute operational data.
  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
 
That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
 
The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
 
In other words, the pieces are starting to appear.
 
Not a decentralized robot network yet.
 
But the infrastructure that could support one.
 
Beyond Bittensor: The Rise of Physical AI Networks
 
Bittensor isn't alone.
 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
 
At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
 
The goal is not simply decentralization for its own sake.
 
The goal is resilience.
 
If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
But Here's the Reality
 
Decentralized AI faces the same challenge every decentralized technology faces.
 
Big Tech has resources. A lot of resources.
 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
 
And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
 
The challenge isn't just decentralizing intelligence.
 
It's decentralizing intelligence while maintaining performance.
 
That's much harder.
 
The Most Likely Outcome
 
The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
 
The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
 
The Bigger Question
 
The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
 
Because the battle for the future of robotics is no longer about hardware.
 
It's about who owns the intelligence.
 
And that battle is just getting started.
 
 

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👉 Cashapp: $thedinarian

👉 Buy me a coffee: https://buymeacoffee.com/thedinarian

👉 PayPal: Scan the QR code below 📲 or Click Here: 

👇 Crypto Donations 👇

XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

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