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.  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.
🙏To support my work, Helping to keep the signal high and the noise low: 👉 Cashapp: $thedinarian 👉 Buy me a coffee: https://buymeacoffee.com/thedinarian 👉 PayPal: Scan the QR code below 📲 or Click Here:
👇 Crypto Donations 👇 XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX |
Dinarian888
?The Dinarian exists because the truth deserves a platform. Covering cryptocurrency, blockchain technology, global agendas, emerging science, and consciousness — because everything is connected and people deserve to know it. Knowledge is power. ?
Interested? Want to learn more about the community?
Dinarian888@dinarian888
July 26, 2022
Bitcoin Mining Stocks Face Market Reckoning Amid Widespread Selloff
Traders and fund managers are selecting which bitcoin mining stocks they think will survive the bear market
Markets and fund managers are selecting which bitcoin mining stocks they believe will survive the bear market, with healthy balance sheets and low production costs proving the difference.
Bitcoin miners are still under pressure from expensive electricity alongside low cryptocurrency prices — and, in some cases, high-interest loans taken out at peak bull market last year.
Core Scientific (CORZ), which has historically commanded more hash rate than any other North American mining outfit, earlier this month disclosed it had sold $167 million in bitcoin in June, nearly three-quarters of its total stash.
Around the same time, rival mining unit Bitfarms (BITF) sold half of its BTC for $62 million to reduce debt. Riot Blockchain (RIOT), another major player, has also been steadily liquidating its mined bitcoin all year.
All these factors have weighed heavily on the share prices of bitcoin mining companies as markets fear further capitulation.
Excluding non-pure play mining companies, the 18 crypto native stocks that make up alternative asset management firm Valkyrie’s mining ETF, WGMI (crypto slang for “we’re gonna make it”), are down 51% on average over the past three months.
Shares in the ETF itself have tanked 42.5% — about the same as bitcoin.
Markets favor Stronghold, a vertically integrated bitcoin miner
Bit Digital, which has fully transitioned its mining operations from China to the US over the past 18 months, is leading the pack, having slid only 24% since April 25.
Jaran Mellerud, Arcane Research analyst, told Blockworks in an email that Bit Digital has been busy moving its miners between continents. This meant the firm couldn’t expand its operations as aggressively as most other public miners.
“In hindsight, massively expanding operations with new machine deliveries was not a good decision as the bitcoin price has plummeted,” Mellerud said.
“Bit Digital was ‘lucky’ that the bitcoin price plummeted in this period, while they were not able to expand as quickly.”
After Bit Digital, Stronghold and Marathon have proven the most resilient, shedding 29% and 36%, respectively, from their share prices.
While Stronghold has one of the weaker balance sheets among its cohort, according to Mellerud, the company is vertically integrated, meaning it controls two of its own power plants.
Stronghold also powers its mining operations by burning waste coal, so its energy is practically free. The firm even receives government subsidies for cleaning up the refuse, awarding them the lowest bitcoin production costs in the industry, Mellerud wrote last month.
Marathon, on the other hand, suffers from relatively high bitcoin production costs, but commands an “abnormally high quick ratio” (the value of its most liquid assets divided by its liabilities) compared to its major competitors.
Traders reject insider stock sales and poor balance sheets
Australian miner Mawson Infrastructure Group, a smaller stock valued at $68 million, has sunk nearly 77%.
Mawson posted a net loss of $11.3 million in the first quarter of this year, according to SEC filings, up from $38.6 million lost in 2021’s equivalent quarter. WGMI didn’t feature Mawson when it launched but it now makes up 2.71% of the fund’s portfolio.
Core Scientific, the industry’s largest public miner by hash rate, has done marginally better, down 72%. Arcane Research’s Mellerud found Core Scientific has a high debt-to-equity ratio — with the debt collateralized precariously by its ASIC machines.
As its mining rigs depreciate in value, the company must continuously post higher amounts of collateral to maintain its loans, further stressing its balance sheet — which is weaker than its competitors despite stronger cash flows.
But Core Scientific’s share price has faced downward pressure from its executives as well. SEC filings show company insiders have liquidated nearly $22 million in stock since the end of May, led by Darin Feinstein, co-founder and chief vision officer.
Feinstein netted $18.3 million by selling 6 million shares at an average price of $3.05 — 70% below its value when it went public via a SPAC deal in January. The company’s share price has fallen 40% since Feinstein’s sales, trading at $1.83 as of last Friday’s close.
Other insider sales were classified to the SEC as “Tax Withholding” transactions, relating to a type of executive compensation package known as “Restricted Stock Units,” or RSUs. Feinstein’s were not.
Core Scientific awarded more than 22.5 million RSUs over the past two months to its executives (81% to CEO Michael Levitt), currently worth $41.3 million, at which time they incurred tax obligations, leading to stock sales.
Core Scientific later disclosed in a press release that Feinstein had informed the company that his sales “were sold to provide capital to satisfy certain taxes related to the conversion of RSUs and other liabilities.”
Executives at Argo and Riot Blockchain have also been granted RSUs over the past three months, for which they also sold stock in “Tax Withholding” transactions, although Feinstein’s stand out due to their size.
Valkyrie goes back to basics
When the firm’s WGMI fund launched in February, Core Scientific was its sixth-biggest holding, weighted at 4.3% — ahead of Riot Blockchain and Marathon.
Core Scientific now makes up just 0.96% of WGMI’s $3.7 million portfolio, a whopping 78 percentage point weight reduction. The stock was cut more than any other holding, followed by renewable mining play TeraWulf, which saw its weight trimmed by nearly 70 percentage points; from 3.84% to 1.17%.
“As the year has gone on, especially over the last couple of months, it’s kind of a back to basics approach over here,” Bill Cannon, Valkyrie’s head of portfolio management told Blockworks. “We’re looking at adjusted balance sheets — just revenue, just net income.”
WGMI boosted its Stronghold, Marathon and Riot Blockchain stock over the past three weeks by 1.65%, 1.61% and 0.96% respectively. Those stocks make up between 4.24% and 5.87% of the fund’s total portfolio.
Argo Blockchain — which Arcane’s Mellerud believes is the only bitcoin miner with cash flows to fully pay off its remaining ASIC deliveries this year — is WGMI’s largest holding with 13.32% weight, up from 9.81% in February.
CleanSpark (CLSK), which has practically no debt on its balance sheet, comes second with 11.37%, although WGMI has recently scaled back its weighting.
https://blockworks.co/bitcoin-mining-stocks-face-market-reckoning-amid-widespread-selloffs/
Interested? Want to learn more about the community?
What else you may like…
Videos
Podcasts
Posts
Articles
🚨 BREAKING CRYPTO NEWS 🚨
According to CNBC, SEC Chair Paul Atkins is set to announce NEW crypto rules this Friday! ⚡️🇺🇸
Here is what’s on the horizon for the digital asset space:
🔹 Project Crypto Unleashed: The SEC is moving forward with a dedicated framework for crypto assets, transfer agent updates, and adviser custody guidelines.
🔹 Regulatory Clarity: After years of uncertainty, official rules of the road are finally arriving for token issuers, exchanges, and institutional investors.
🔹 Moving Independent of Congress: Whether or not legislative bills like the CLARITY Act pass, federal regulators are taking direct action to build a modern market architecture.
This could mark a massive turning point for innovation and compliance in the U.S. crypto industry! 🚀📊
Will this ignite the next market rally? Drop your predictions below! 👇🔥
#Crypto #SEC #PaulAtkins #CryptoNews #Bitcoin #Ethereum #Web3 #Regulation
00:00:53
🙉Sign → perceive → understand🙉
Proof, not a promise.
Real ASL video.
Real recorded landmarks.
Real model output.
We took what we’ve been building inside UMI and put it into the first bitsign iOS product concept.
Sign → perceive → understand.
This is recorded playback, not live translation yet.
The next milestone is making this happen live.
bitsign.ai
00:00:14
🚨 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
🚨 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 ...
🚨 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...
👉 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.
🗓️ Bittensor’s SN33 builds a Calendly-style app from a plain-language description 🗓️
Subnet 33 has demonstrated a workflow where a user describes an application and Bittensor helps generate a working scheduling product with booking links, availability, and calendar-style functionality.
🔑 Key points
🔹 Describe-to-build workflow: Users can explain the product they want in natural language instead of starting from a blank codebase.
🔹 Calendly-style functionality: The demonstration includes scheduling, availability management, booking links, and meeting coordination.
🔹 AI agents handle development tasks: Agents can generate code, configure workflows, connect components, and iterate on the application.
🔹 The subnet coordinates the process: Different contributors can assist with planning, coding, testing, debugging, and deployment.
🔹 Rapid prototyping is the main benefit: Developers can move from an idea to a usable proof of concept much faster.
🔹 Human review remains necessary: ...
⚙️ XRP Ledger is one validator vote away from activating its next payments upgrade ⚙️
A major XRP Ledger payments amendment is reportedly one validator vote short of reaching the approval threshold needed to begin the activation process. It still must maintain sufficient support before becoming live.
🔑 Key points
🔹 Validator consensus is required: XRPL amendments need strong support from independent validators before they can activate.
🔹 One vote remains: The proposal is reportedly one validator approval away from reaching the required threshold.
🔹 Activation is not immediate: Even after reaching the threshold, the amendment must maintain support for the required voting period.
🔹 Payments are the target: The upgrade is designed to improve how XRPL handles payment execution, efficiency, and institutional transaction workflows.
🔹 Batching may be involved: The amendment could allow multiple related transactions to be processed together, reducing friction for complex payment operations.
🔹...
🪪 UAE integrates Avalanche into its national digital ID platform 🪪
The UAE is reportedly incorporating Avalanche blockchain infrastructure into its national digital-identity system, bringing verifiable credentials and blockchain-based authentication into government services.
🔑 Key points
🔹 National identity infrastructure: The integration connects Avalanche technology with the UAE’s digital-ID ecosystem.
🔹 Verifiable credentials: Users may be able to prove identity, qualifications, licenses, or eligibility without repeatedly submitting paper documents.
🔹 Blockchain provides verification: Credentials can be checked against tampering or duplication through a shared digital record.
🔹 Privacy remains essential: A secure system should verify claims without exposing unnecessary personal information.
🔹 Government services are the target: Digital identity can support licensing, healthcare, banking, education, immigration, and public administration.
🔹 Avalanche offers customizable ...
Revolut Leak Shows the Cost of Constant ID Collection
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.
🙏To support my work, Helping to keep the signal high and the noise low:
👉 Cashapp: $thedinarian
👉 Buy me a coffee: https://buymeacoffee.com/thedinarian
👉 PayPal: Scan the QR code below 📲 or Click Here:
👇 Crypto Donations Always Welcome 👇
XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6
🤖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.
🙏To support my work, Helping to keep the signal high and the noise low:
👉 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
