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Sonic Mainnet Launch: EVM-Compatible, Verifiable 10,000 TPS, and Sub-Second Finality
Dinarian888
December 18, 2024
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We’re excited to announce the launch of the Sonic mainnet, a high-throughput, EVM-compatible layer-1 blockchain platform that offers developers attractive incentives and powerful infrastructure.

With up to 10,000 transactions per second, sub-second finality, and a native decentralized gateway to Ethereum, Sonic enables developers to create the next generation of apps while offering users the smoothest blockchain experience yet.

FTM holders can now upgrade their tokens to S on Sonic on a 1:1 basis using our upgrade portal and unlock access to Sonic’s diverse range of apps. Developers, continue reading to learn how to deploy your apps on Sonic and start earning.

Users: Start Using Sonic
‎‎‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎— Network Information
‎‎‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎— Upgrade FTM to S
‎‎‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎— MySonic Portal
‎‎‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎— Sonic Gateway
‎‎‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎— Airdrop: Sonic Points

Developers: Build on Sonic
‎‎‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎— Deploy Your App
‎‎‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎— Fee Monetization
‎‎‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎‏‏‎ ‎— Airdrop: Sonic Gems

Resources
— Official Links and Contracts
— Frequently Asked Questions

Users: Start Using Sonic

Network Information

Use the following details to add Sonic to your Web3 wallet of choice.

Upgrade FTM to S

FTM holders can now seamlessly upgrade their tokens to S on a 1:1 basis using the upgrade portal on MySonic. Here’s how it works:

  1. Connect your Web3 wallet to MySonic
  2. Enter the amount of FTM to upgrade
  3. Verify that you’re receiving the same amount of S
  4. Click Upgrade and approve the transaction

In just a few moments, your S will arrive on Sonic, and you’ll be ready to explore everything the ecosystem has to offer! If you're holding FTM on Ethereum or a CEX? Follow our migration guide.

For the first 90 days after Sonic’s mainnet launch, you can freely swap between FTM and S through this portal. After that, upgrades will only be from FTM to S.

📢
If the number of transactions through the upgrade portal exceeds 2 million per day, we reserve the right to add a fee to mitigate spam.

MySonic Portal

MySonic is your all-in-one portal to Sonic, through which you can access:

🔍
Staking S involves a 14-day waiting period if you choose to withdraw.

Sonic Gateway

The Sonic Gateway is a decentralized bridge that facilitates token transfers between Ethereum and Sonic.

❗
The Sonic Gateway is set to launch within the next 24–48 hours.

The bridging process consists of three steps:

  1. Deposit
    Deposit your assets into the bridge, which takes around 10-15 minutes on Ethereum to achieve finalization and only ~1 second on Sonic.
  2. Heartbeat
    After your deposit is confirmed, your assets will be bridged at the next heartbeat, which are intervals that bridge user assets in batches to ensure gas efficiency.  A heartbeat occurs at most every 10 minutes from Ethereum to Sonic and 1 hour the other way. You can pay a Fast Lane fee to trigger an immediate heartbeat.
  3. Claim
    Claim your bridged assets on the destination chain. That’s it! You’re now free to explore the Sonic ecosystem with your new assets.

As cross-chain activity grows, secure and trustless bridges have never been more important Unfortunately, many layer-1 and layer-2 bridging solutions still rely on centralized systems, leaving billions at risk.

The Gateway addresses these challenges through two methods: a fail-safe and true decentralization. The immutable fail-safe automatically unlocks users’ bridged assets on Ethereum if the Gateway stops transmitting heartbeats for two weeks. This ensures users can always regain custody of their funds in the highly unlikely event of a Gateway failure, protecting user assets under all circumstances.

Furthermore, Sonic’s own validator network operates the Gateway by running clients on both Sonic and Ethereum, which ensures that the Gateway is as decentralized as the Sonic chain itself and prevents centralized manipulation.

We’ll expand the Gateway beyond Ethereum in the future, enabling direct, decentralized access to native assets on many other chains.

Airdrop: Sonic Points

As part of the ~200 million S token airdrop, Sonic Points are designed to reward you for engaging with Sonic and interacting with apps on the chain.

Focused on driving meaningful user engagement, Sonic Points incentivize key activities like early adoption, long-term loyalty, asset ownership, and active participation across the platform's apps.

You can earn Sonic Points by bridging whitelisted assets to Sonic or using them within the ecosystem through eligible apps. Learn more on our official documentation.

Developers: Build on Sonic

Deploy Your App

Sonic gives developers the tools they need to build fast, scalable apps, with 10,000 transactions per second and sub-second finality, ensuring your apps are both fast and scalable.

With full EVM compatibility and support for Solidity and Vyper, Sonic works seamlessly with the tools you already know, like Chainlink, Safe, Pyth, Alchemy, and more. Plus, with features like Fee Monetization, you’ll have the incentives to innovate and succeed in the ecosystem.

Start by testing your contracts on the Blaze testnet, and when you're ready, deploy to mainnet. Dive in and see how Sonic can help bring your ideas to life!

Fee Monetization

Fee Monetization (FeeM) on Sonic rewards you with up to 90% of the network fees generated by your apps, providing a sustainable income stream. This allows you to focus on scaling your app and growing your user base without the constant pressure of fundraising or securing additional financing.

Inspired by Web2 ad-revenue models popularized by platforms like YouTube, FeeM ensures you directly benefit from the traffic your apps bring to Sonic. By prioritizing developer rewards, Sonic sets itself apart from many blockchains that offer limited incentives and focus primarily on value extraction.

FeeM is set to launch on Sonic shortly. Stay tuned for more information.

Airdrop: Sonic Gems

As part of the ~200 million S token airdrop, Sonic Gems are developer-focused airdrop points designed to reward apps for driving user engagement and innovation based on their performance on Sonic.

Developers can redeem these Gems for S tokens, which they can then distribute as rewards to their users. Gems empower apps to kickstart growth and sustain long-term user activity by incentivizing consistent interaction and participation.

Are you a developer and want your app to participate in Sonic Gems? Learn more on our official documentation.

Please visit the official Launch Page for contract data and official links. Be careful on X, as there will be plenty of spammers and impersonators. Welcome to Sonic.

 

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

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

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

Revolut claims that derived biometric face data was not.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Rank State Income needed for family of four (2026)

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

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

Colorado and Vermont Make the Top 10

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

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

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

Just Six States Come in Below $200,000

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

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

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

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

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