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MetaMask's UI/UX Overhaul and Multichain Expansion
Reimagining self custody
February 28, 2025
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What's behind the fox? It's you. It always has been, and now it will be more than ever.” 
For over 8 years and millions of users annually, MetaMask has been the gateway to crypto self-custody, empowering people to control their own assets, build freely, and engage with web3 on their terms: in short, to have agency in their digital lives. The future of web3 depends on self-custody: for it to become the default choice for users, we need to make wallets more intuitive, connected, powerful, and safe.
Today, we’d like to share our near-term product roadmap: guided by our vision for how crypto wallets can evolve to support mainstream adoption by offering services that are better than a bank, and how MetaMask is transforming to be capable of playing a central role in a user’s financial life.

MetaMask, then and now

MetaMask was founded in 2016 supporting just a single chain: Ethereum. As the first browser-extension based wallet, we established many of the patterns that define web3 interactions today: an API for websites to propose Ethereum interactions to the user. A connection to a trusted blockchain source (Infura) so new users didn’t have to sync the entire chain. We soon added the ability for users to add their own custom network RPCs, custom tokens, and eventually even a plugin system called Snaps, all in the spirit of ensuring users can interact with any decentralized protocols they want… a spirit that remains to this day. 
We’ve come a long way since then: with millions of users annually, mainstream adoption seemingly within grasp, an improving regulatory environment, and key technology unlocks on the horizon with Pectra—there is reason to be optimistic. 
And we’re still really early.
But there are also challenges. We need to make web3 more usable, intuitive, and useful for everyone from power users to newcomers to crypto. The use cases are still limited. The number of networks is growing, and navigating them is complicated. Most importantly: we need to make wallets more powerful while also making them more secure.
To address these challenges, we’d like to share our near-term roadmap and some recent updates that have three primary goals:
  1. Improve the user experience: make it easy
  2. Connect everything, everywhere: make it seamless
  3. Make wallets much more powerful and safe: make it good

Improving wallet and ecosystem UX

The foundation of our approach to the design of MetaMask is in balancing maximizing security while granting radical empowerment. While that has resulted in the most popular and secure wallet in web3, the user experience is still behind where we want it. We think we’re on the verge of unlocking some major improvements that will feel obvious in hindsight. We’re going to achieve this by making transactions smarter and simplerabstracting away networks and gas, and by improving the core wallet experience.

Smarter and simpler transactions

At the heart of a crypto wallet’s experience is transactions. Traditional cryptography just had you signing and encrypting, which is a trivial operation that doesn’t require user review. In Ethereum, a signature can mean anything, from a vote to giving away your life savings, so the interpretability and performance of those transactions is critical to the product’s effectiveness. Also, the transaction is only valid once processed by a public network, which happens to have all sorts of adversaries in its “dark forest” who would be happy to play against you.
We introduced Smart Transactions in 2024. Enabled by default for new installs, Smart Transactions vastly improve the experience of swapping and transacting. Working behind the scenes to solve some technical limitations of a public mempool, Smart Transactions have resulted in an overall transaction success rate of 99.995%, including for Swaps (a type of transaction that has the worst reliability): this is 400x better than you might get on mainnet without Smart Transactions enabled. It’s 7000x more reliable than what’s typical for a user on Solana.
MetaMask smart transactions: 99.995% transaction success rate
 
Smart Transactions also provide protection against front-running bots and MEV sandwich attacks: in July of 2024, $11 million in value was siphoned off of user transactions on mainnet. But among the millions of MetaMask users, that value was $5. You’re 400 times less likely to be affected by these bots when using MetaMask Swaps.
To make transactions simpler, we’re introducing ERC-5792 batched transactions, so users can perform common sequences of transactions like “Approve & Swap” in one click, saving them time, gas cost, and mental effort.

Goodbye, gas

Gas plays an important role in web3, but it’s another barrier for every user interaction. Users don’t want to think about another game mechanic every time they make an action, and often users don’t have ether to pay for gas: on mainnet, this interrupts ~25% of transactions. Having to hold a balance of a network token in every account you use is a complication that hinders onboarding. We have several features–launched and coming soon–that help make gas increasingly disappear to users.
MetaMask gas-included swaps
 
First, we introduced gas-included Swaps, so users can swap two tokens without having to possess ETH in their account: the gas is included in their swap quote and is paid in the token they’re swapping.
Soon—in March—we’ll generalize this to all transactions, so to interact with dapps or send tokens, you can pay gas in whatever token you hold.
Longer term, we believe we can eliminate gas as a user-facing concern in nearly all interactions. (We’ll get to that!)

Abstracting networks

Our ecosystem has grown far beyond Ethereum mainnet, and new networks and communities are growing daily. The UX patterns that worked for a world with a single chain are insufficient in a rich, multichain world. To address this, we have a number of features live and upcoming that abstract networks and make the user experience seamless.
One old pain has been requiring users to switch networks when interacting with sites that connect to different networks. We eased this pain by allowing sites to suggest the network switch, and I’m relieved to say we finally have gotten rid of even this user friction.

Bonus features

In March, we’ll be adding support for multiple SRPs (Secret Recovery Phrases) in the wallet for the users who want to manage several distinct wallets without needing separate instances of MetaMask.
We’re also adding Profile Sync, so users can easily switch between browsers and devices and keep all their account names and settings the same. This will be available in extension in April, and mobile in May.

Improving the core wallet experience

Alongside the core refactors required to enable multiple network connections, we’re rolling out a set of UI changes that reimagine the wallet for a many-chain world. Our redesigned home screen can show a user all their assets across many networks on each account screen, greatly simplifying navigating many chains.
MetaMask homescreen
 
These same patterns apply to and enhance the experience of Snaps, our plugin system, so any blockchains you add via Snaps will be integrated as intuitively and seamlessly across MetaMask.
These changes will include an updated trading view, giving users more sophisticated charting tools.
These changes will be rolling out over the next month.

Connecting everything, everywhere

In 2024, MetaMask users connected to over 850 networks. Up to now, MetaMask has primarily supported EVM networks with non-EVM connectivity provided via third party Snaps. 

The power of Snaps

Snaps allow for the permissionless addition of new networks and currencies. But there hasn’t been tight enough integration between our Snaps platform and our core wallet experience. So, we rebuilt the UI integration into the new multi-network home screen to permit much tighter native-like experiences. 
To prove it out, we’re going to launch a couple networks to showcase how powerful this new system is, which will come built-in to MetaMask and feel just like any other natively supported network. 
Bitcoin on MetaMask and Solana on MetaMask
 
 

Hello, Bitcoin

Full bitcoin support is coming in Q3 this year: so users won’t need a separate wallet, or wrapped tokens, to hold bitcoin.

Here comes Solana

Coming sooner in May, we’re adding native Solana support to MetaMask, the first non-EVM chain supported out of the box. All MetaMask users will be able to buy, sell, swap, and interact with dapps across the entire Solana ecosystem. Existing Solana users will get access to the same security, reliability and rich features of MetaMask, along with access to all the chains you use with MetaMask today.

Connect to everything all at once with Multichain API

Our CAIP-25 multichain API will let dapps connect to more than one network simultaneously, EVM and non-EVM alike: a user will be able to connect to Ethereum, Linea, Solana, and Bitcoin networks all at once. This improves all sorts of use cases that involve multiple networks like portfolio rebalancing, bridging, or deploying and managing tokens on multiple chains at once. Expect the multichain API to launch in June.

Bringing crypto IRL with MetaMask Card 

Crypto is all just numbers on a screen until you can use it. Traditional crypto offramps involve storing funds in a custodial exchange, transferring to a bank, and only then being able to spend those funds.
MetaMask Card: spend crypto IRL
 
MetaMask Card solves the key industry UX challenge surrounding how to bring crypto IRL. Leveraging Mastercard’s payment network, MetaMask Card connects your self-custody wallet with millions of vendors around the world. You can be earning staking rewards or yield on your favorite protocol with your favorite tokens and have those funds available to spend anywhere that Mastercard is accepted with just a tap. This is more than just a convenience, this is the last missing piece in the essential feature set for crypto: connection back to the real world. You can get it and use it.  The virtual card is available now in eligible countries and the physical Metal card will be available for select territories in April. 
 

More powerful and safe: self custody, reimagined

While we can improve wallet UX, and connect everything together, there is still a gap between where we want to go and where we are.
One hurdle we have to overcome comes from the EOA—the externally owned account—which forms the basis for how users have interacted with everything.
Up until now, the industry has been defined by programmable money. Tokens are smart contracts that provide a set of rules to everyone, but those rules are one-size-fits-all. That one token contract defines what that token can do, what permissions you can grant from it, and any additional functionality must be defined by a contract you deposit the token into, which becomes an opaque machine that users can only trust in terms defined by that token’s contract. The EOAs that people use to hold their funds are bare rails that can’t be programmed.
We think we can do better.
While the EOA and programmable money has taken us a long way, the next era of web3 will be shaped by programmable accounts. Smart-contract-based accounts allow us to solve a number of problems: allowing new powerful uses of the assets you hold, while simultaneously improving security. When the user defines their terms from their own programmable account, we greatly expand how the user expresses their agency in ways that are enforced by their own code. In essence, programmable accounts are how we can make the wallet more powerful and safe, and deliver our vision for a self-custody wallet that can serve as the center of a user’s financial life.
Programmable Accounts
 
 

Imagine a future

Meet Alice. The year is 2025. Alice holds her most valuable assets in a multisig wallet with some keys entirely offline, and used those keys to grant access to a $200 daily budget to a hot wallet that she uses every day, along with the ability to trade within the most popular tokens on the DEXes that ensure common price clearing, but without withdrawing more than the daily allowance from the account. This permission was easily reviewed and issued from offline signers, with no transaction fee or transaction processing latency.
From her hot account, Alice is able to set a limit order on a new DEX with an entirely readable confirmation which guarantees their offered price without needing to trust any external infrastructure to guess at or simulate the DEX’s behavior. Again, with no transaction fee or processing latency. Alice can then give a permission to an AI agent that will be able to trade on her behalf with the same token budget, in case it learns of a new token on social media that relates to her interests. Her funds are empowered by as many external agents as she can reliably trust, without needing to lock funds with them. Again, with no transaction fee or processing latency.
Alice is able to issue streaming token subscriptions, and spend directly from her preferred yield-bearing tokens anywhere Mastercard is accepted. The card issues her rewards, back to the same wallet, which are rebalanced according to her preferences automatically. Again, all of this with no transaction fees or processing latency.
A major hack begins draining user funds from one of the AI agents she’s subscribed to, but fortunately one of the security services that Alice’s wallet enabled by default was able to detect the first block of thefts, and revoke Alice’s permissions before she was affected, all while she slept soundly.
This is not a distant future vision: we’re building it.
MetaMask keynote smart accounts
 
 
EIP-7702 will ship in the Pectra hard fork—the upcoming upgrade to Ethereum. EIP-7702 will allow all EOAs to behave like smart accounts.
We authored ERC-7710 to define a standard interface for any smart account to grant arbitrary permissions: a critical interface enabling an open ecosystem of smart accounts and dapps that can request permissions from users. In the future, smart accounts that expose this interface could add privacy layers, compression schemes, or new ways of expressing users' intents, all while remaining compatible with sites that adopt this new connection standard.
We co-authored ERC-7715 to define an interface by which a website, app, or eventually anything might ask for a permission from your account. This can include any on-chain action, like token and NFT allowances, as well as streaming token subscriptions, and can support the wallet adding additional terms to the permission at approval time: an expiration time, an asset they expect to receive in exchange, or a security service that may revoke the terms. Granting these permissions requires no gas cost to grant, and are instant. They’re not needed onchain until they’re used. Sites can submit transactions on the user’s behalf; paid for from the granted permission.
MetaMask keynote: can a cold wallet be hot
 
 

How hot can cold be? Introducing MetaMask smart accounts

To realize all of the potential described above, we have built the MetaMask Delegation Framework. I like to call it the Gator (short for delegator). It allows us to grant open ended ERC-7710 permissions to other accounts, entirely offchain. We think it might be the most dynamic and powerful permission system you’ve ever used. In combination with the upgrades from Pectra, we can unlock these incredible new powers for all MetaMask accounts.
We’re building the Gator to allow MetaMask to receive ERC-7715 permissions requests, and let the user customize their approval with open-ended granularity. Thanks to EIP-7702, any MetaMask account will be able to grant the same permissions.
While permissions are great for reducing friction and enabling new use cases, we’ve also been exploring how we can use this account type to improve security. While a multisig is great for adding friction and review process to account actions, a multisig is only as safe as its actions are readable, so granting these account-defined permissions are a powerful way to ensure that multisig signers aren’t reliant on external simulation infrastructure to have confidence in what they’re signing.
Additionally, while multisigs are great at adding more layers of review, they can become cumbersome for approving smaller day to day operations that might be worth entrusting to a nimbler account. ERC-7710 delegations are a powerful tool for organizations to dynamically add new delegates that can perform arbitrary actions, which are always expressed in user-readable terms (even offline or from a hardware signer).
When used for a personal account, a user can keep one high-security account for the majority of their funds, but still grant the ability to spend funds, stake and un-stake, vote, and claim airdrops from a hot wallet, without risking losing more funds than they grant as a regular discretionary fund.
This paves the way for a web3 where every action is readable, and users aren’t forced to choose between the inconvenience and unreadability of hardware wallets and multisigs, or the convenience and usability of pure hot wallets. Through the Gator’s open ended permission system, users will be able to craft highly personalized policies that let them be nimble while staying safe.
Better UX that makes web3 easier to use, infinite connectivity inside crypto and out into the real world, and stronger account types that make wallets much safer and stronger—this is how we will make our vision for a next-generation wallet a reality.
MetaMask roadmap calling all builders
 
 

A call to builders

Pectra and programmable accounts represent a huge opportunity to innovate the next wave of web3. What’s possible now? Just a few ideas for the eager developer:
  • Subscription Payments: set up recurring payments for services, APIs, and digital goods.
  • Seamless dapp onboarding: let users interact with web3 before owning crypto: Invitations to onboard with just a click. Links can include referral fees, making a web3 referral economy transparent and simple, without the rug-promoting dynamics of bonding curves.
  • Permission-based interactions: give granular access to assets, contracts, and digital identities.
  • Revocation services: the most responsive, widely enabled revocations of permissions.
  • Overlapping permissions: give a number of independent entities access to the same assets inside a smart account. Don’t lock funds: Unlock them.
  • Delayed transactions: grant a DEX permission to buy a token at a future value (ie creating a limit order off chain) with strong readability and safety guarantees.
  • Decentralized AI Agents: securely delegate investment and financial decisions without ceding control or locking up funds.
And these are just a few ideas. It’s time to push the boundaries of what’s possible in the decentralized web, together. 

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September 15, 2026
🚨 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

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🙉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

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​🚨 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? 👀

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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 🚨
🚨 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 🚨
👉 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

🤖 How Bittensor SN61 RedTeam is building an autonomous cybersecurity immune system 🛡️

Cybersecurity has always been a constant cat-and-mouse game—until now. By incentivizing miners to discover novel ways to break bot detection, device fingerprinting, and geolocation systems, RedTeam transforms attacker ingenuity into fuel for an adaptive defense network.

Every exploit submitted becomes an input into an autonomous "immune system" that:

  • 🛠️ Reverse-engineers miner techniques
  • 🔍 Identifies the underlying exploit
  • 🧬 Generates new attack variants
  • 🛡️ Develop realtime detection mechanism

In this deep dive, Oscar and Javokhir unpack how RedTeam evolved from manually breaking competing security products into a commercial cybersecurity platform now protecting over 125 million daily active users across its customer base. 🚀

🔥 Key topics covered in this episode:

  • 📱 Device Fingerprinting & Proxy Detection: Catching sophisticated VPNs and residential proxy networks.

  • 🤖 ...

🏦 Three Fortune 500 banks reportedly enter RedTeam’s cybersecurity pipeline 🏦

RedTeam (SN61) says three Fortune 500 banks are now in its commercial pipeline, signaling growing interest in its AI-driven approach to adversarial security testing.

🔑 Key points

🔹 Three major banks are evaluating RedTeam: The institutions are reportedly considering SN61 for fraud detection, bot defense, device intelligence, and security testing.

🔹 Pipeline is not revenue: Being in a sales pipeline does not mean the banks have signed contracts or deployed the product.

🔹 RedTeam attacks detection systems: Its network of security researchers and miners searches for ways to bypass fraud and identity protections.

🔹 AI agents expand testing: Automated systems can generate and test attack variations faster than traditional manual security teams.

🔹 Financial institutions are high-value targets: Banks face constant threats involving bots, account takeover, synthetic identities, credential theft, and payment fraud.

...

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🤖 Nepher Robotics (SN49) unifies robot validation for enterprise deployments 🤖

Nepher Robotics is building a unified validation platform designed to help enterprises test, compare, and deploy robotic systems across different hardware and operating environments.

🔑 Key points

🔹 One validation layer: Enterprises can evaluate robots through a common platform instead of maintaining separate testing systems for each hardware vendor.

🔹 Hardware abstraction is central: SN49 aims to separate robot intelligence and evaluation from the specific machine running the workload.

🔹 Real-world performance matters: Robots can be tested across navigation, manipulation, perception, safety, and task-completion scenarios.

🔹 Simulation and physical testing can connect: Models may be evaluated in virtual environments before being validated on real robotic hardware.

🔹 Standardized benchmarks improve comparison: A common framework helps enterprises compare different models, robots, and deployment strategies.

🔹 ...

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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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 notesMassachusetts 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.

Source

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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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