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🌐Year-End Musings: Standing At The Dawn of Web3, by Sunny Lu🌐
January 01, 2023
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As the sun sets over Italian skies, those traversing the bridges between Rome and the Vatican may be treated to a sight beyond compare. High above the ancient towers of the cityscape, huge flocks of birds take flight, numbering in the thousands. I’ve been fortunate enough to watch them swirling and dancing up there, a tapestry of motion — swift, unpredictable, utterly beautiful. These birds, I have since learned, are starlings, and the flock they form is called a ā€˜murmuration’.

The decentralized order within these formations strikes me. A murmuration is a sight to behold, and demands contemplation. It is a wonder that speaks to the very essence of what it means to be alive and one of many examples of nature’s majesty.

In this organized chaos I find analogues. A murmuration is made up of hundreds of nodes, each comprising seven birds. Despite the complexity of the mass, each bird only needs to watch and react to their six nearest neighbors. There is no leader and no central authority, yet, the flock functions as a whole. I watch these decentralized organisms and feel a kinship.

Should a predator appear, the attacked node breaks off and distracts the attacker while the larger group continues on its tumbling trajectory, flight pattern unperturbed. To the untrained eye, the event seems random, but in actuality, these birds build a cohesive frame — a living mosaic made even more impressive by the lack of a central guiding hand. As I watch this living mass pirouette in the sky, my thoughts turn to Web3.0.

Web3.0 — Value Beyond The Sum of Parts

Web3.0, like the murmuration, remains a somewhat undefined grouping of topics. Some consider the concept too ephemeral and broad, lacking form. Others believe the notion to be an innate human truth, understood implicitly, waiting to be recognised by the masses. Whatever your stance, for now it remains a novel but undeniably powerful movement-in-waiting.

Web3.0 is a smorgasbord of concepts. Decentralized information and power structures, enhanced trust, truth and transparency, greater autonomy, the foundations of a new industrial era and more. Web3.0 is a paradigm shift, restructuring the foundations of the internet itself and offering a new philosophical blueprint for technologies, business and society. It is an evolutionary leap both in terms of technology and thought process, yet highly logical in its progression.

The Declaration of Internet Rights was founded on the notion of liberty, equality, dignity and uniqueness at the individual level, however, the current Internet has deviated significantly from that vision. Web3 returns to this vision, empowering citizens through data and information, embracing the idealized vision of the internet’s roots.

The evolution of the web can be broadly defined by technological epochs. In the so-called ā€˜Web 1.0’, the internet served the purpose of the town square announcement board. Participants were passive recipients of information, connected to messages with the primary action of ā€œreadingā€ and receiving information.

In Web1.0, connection is the priority and users are passive.

In Web 2.0, the internet became a shared workspace and here, participatory interaction and creation became the main feature. In this phase we bore witness to the rise of jargon such as ā€˜user generated content’ and watched as dominant internet-era players were born such as Google and Amazon.

The mass adoption of mobile computing tech in the early 2010s accelerated new waves of adoption and gave rise to even faster rates of development and adoption, allowing users to connect anywhere. Here, we gave rise to the notion of ā€˜Internet of Things’ (IoT) — always online, interconnected, allowing far greater coordination and information that painted a greater picture than was possible at the individual level.

In Web2.0, mobility is the priority and users are interactive, connecting people and entities in the name of co-creation.

To date, a lot of good has come from the internet, but not without mistakes. We have modeled the internet on the hierarchical systems that have governed society since the birth of agrarianism — top-down, centralized, overly reliant on external power structures and arbiters of truth.

Inevitably, this approach manifests inequality and inefficiency. Greed and bad-faith practices have contributed to the conditions we see today, yet, viewing it from a broader context, this passage was necessary. Sometimes we must stumble before we learn to walk. In the case of the internet, find the values we hold most dear as a society — truth, transparency, trust.

Technology is finally becoming powerful enough to break down these long-standing power structures, and deliver new trends towards the empowerment of the many. With the exponential growth in volume of web data, 2.5 quintillion bytes per day in 2020 for example, an overhaul of its architecture was inevitable. Blockchain becomes inevitable. If it wasn’t Satoshi Nakamoto who conceived Bitcoin and blockchain technology, surely, someone else would have recognised the same need for this revolution in data management.

With blockchain technology destined to become a core facet of the internet’s infrastructure, it naturally paves the way for Web 3.0. Thus, the internet will become irrevocably associated with the features of distributed ledger technology. Namely, transparency, security and immutable ownership of data and of things, something I like to phrase as ā€œthe shared collective utility of resourcesā€.

In this new epoch, the data generated by human behavior becomes the ultimate shared resource and one of our most valuable, actionable assets.

Informational Transcendence

Participants in this new web iteration, much like the previous ones, will continue to evolve with it and at the same time, define it. This new generation of users, whether born into it or converting ā€œold timersā€ like I am, become the ā€œownersā€ of this new web. We can confidently say so, because we will utilize it to make individual impacts, collectively. Instead of simply being users, we participate and become partners holding accountability for each other.

Of course, I would be naive to assert that everyone will take on equal responsibility or reap equal rewards. Attaining fairness and egalitarianism is much more complicated than producing arithmetic-derived averages. But fortunately, blockchain, and the various tools born from it, will aid us in the pursuit of this vision, described accordingly:

  • A common consensus reached and adopted by willing individuals who share the same passions and goals
  • Tokens as incentives to coordinate motivation and aptitude
  • Decentralized Autonomous Organization’s (DAO) to enable collaborations within, and between, organizations more effectively, allowing all voices to be heard and voted on, without being stifled by a lack of transparency
  • NFTs will become digital identities for both people and things, serving the function accumulating data and embodying accumulated value
  • Vastly enhanced capabilities born from the combination of blockchain with technologies such as IoT, Artificial Intelligence, Machine Learning, etc.

Summarily, we can say: Web3.0 is a phygital (physical-digital) ecosystem powered by Blockchain technologies and the actions of people, collectively achieving consented goals.

People in Web3 are active stakeholders, whose mission should be treated equally and in the spirit of collaboration by all players, be they platform, corporation, association, individual, or even government body.

The priority of Web 3.0 is the focus on identifying common consensus and collaboratively executing protocols.

Slow, steady, then all-at-once

The transformation of an idea is much like the growth of a child; gradual and constant. We can easily overlook tiny changes along the journey, but then, one day, see them in their totality and gasp ā€œwhen did they get so tall?!ā€

Slowly, quietly, then all-of-a-sudden. This is the nature of progress.

After reading my musings, I am excited to share thatĀ VeChainĀ has been building towards something truly groundbreaking over the past few years and we’re almost ready to unveil the fruits of our labor. We’ve always been focused on the future, and we continue marching towards a blockchain-powered reality.

Our high-profile announcement coming in the next few months has the potential to solidify and positively shape the Web3 industry by offering something tangible to rally around. 2022 was undoubtedly a tough year for the space, besmirched by many-a-scandal, but we’re bucking that trend by taking revolutionary applications of technology mainstream.

We want everyone to be a part of this new digital future — to prosper, grow and benefit together. This is a rare opportunity to be a part of something truly special, to be part of VeChain’s blockchain-powered revolution. We call on our many committed members, builders, and organizers to join us on this exciting journey and to play their own role as equal actors in this web3 future.

Let’s make it happen together.

Let’s be proud of being this incredible team and finally start the future.

About The VeChain Foundation

The VeChain Foundation, headquartered in San Marino, Europe, is the non-profit organisation behind the development of VeChainThor, a world leading smart contract platform spearheading the real world adoption of blockchain technology.

By leveraging the capabilities of ā€˜trustless’ data (information without intermediaries), smart contracts and IoT technologies, VeChainThor has delivered solutions in a wide array of fields, and now turns its attention to arguably the greatest challenge of all — building technologies and ecosystems to drive true sustainability and digital transformation at global scale.

VisitĀ https://www.vechain.orgĀ to learn more.

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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 ā€œBIG CYBER ATTACKā€ before we ā€œrespond as fully as we shouldā€ to AI.

That sounds like a threat to me.

AI false flag risk remains HIGH.

00:00:23
They Are Making It Easier And Easiet For The Average Joe To Trade šŸ˜‰

X partners with crypto and stock exchanges to allow trading from the timeline.

•GGeiin
•Kraken
•Moomoo
• Coinaas

00:00:40
September 20, 2026
šŸ¤– China reportedly deploys humanoid robot alongside armed police for Shenzhen patrols šŸ¤–

A video circulating online appears to show an EngineAI T800 humanoid robot accompanying armed officers during a community patrol in Shenzhen’s Nanshan District. The footage is striking, but the robot’s official role and operational capabilities remain unclear.

šŸ”‘ Key points

šŸ”¹ EngineAI T800 identified: The humanoid platform shown is reportedly EngineAI’s T800 model.

šŸ”¹ Police patrol setting: The robot appears alongside armed officers in a public community environment.

šŸ”¹ Official deployment is unconfirmed: The video alone does not establish whether this was a routine patrol, demonstration, pilot program, or promotional event.

šŸ”¹ 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.

šŸ”¹ Humanoid form fits existing environments: A human-shaped robot can potentially move through spaces, stairs, doors, and infrastructure designed for people.

šŸ”¹ Human officers ...

00:00:21
🚨 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
10gb Free Encrypted Backup šŸ˜‰ | Bittensor Hippius

🚨 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:
• Hippius Plus: $7 a month
• Google Drive: $9.99
• 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. ...

šŸ“ˆ Moscow Exchange launches five crypto perpetual futures as demand tops 600 billion rubles šŸ“ˆ

Moscow Exchange has reportedly launched perpetual futures linked to five cryptocurrencies after Russian market demand for digital-asset derivatives exceeded 600 billion rubles.

šŸ”‘ Key points

šŸ”¹ Five crypto contracts launched: The products provide leveraged exposure to major digital assets through perpetual futures rather than direct spot ownership.

šŸ”¹ Demand has surged: Interest in crypto derivatives reportedly exceeded 600 billion rubles, showing strong appetite for regulated digital-asset exposure.

šŸ”¹ Perpetuals do not expire: Unlike traditional futures, perpetual contracts can remain open indefinitely as long as margin requirements are maintained.

šŸ”¹ Leverage increases risk: Traders can gain exposure with less capital, but even small price movements can trigger forced liquidations.

šŸ”¹ Funding payments keep prices aligned: Perpetual contracts typically use periodic funding transfers between long and ...

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SpaceXAI's $SPCX Grok Bot agent surpasses over 400,000 users in its first month, growing 24% in the past week.

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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.
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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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