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🪂Introducing the ZK Token🪂
It’s time to put the ZK token into the hands of the community. It’s your turn to govern ZKsync’s future
June 11, 2024
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It's Your Turn to Govern ZKsync's Future

ZK is the Endgame. Not only the endgame to verifiably scale Ethereum, but also the endgame to restore our right to personal sovereignty.

As a pioneering ZK rollup and Ethereum’s first ever zkEVM chain, ZKsync is architecting the future of verifiable, permissionless blockchains. The recent v24 upgrade sets the foundation for an ever-expanding network of interconnected ZK chains that can horizontally scale to billions.

To ensure ZKsync remains trustless and censorship-resistant, the protocol must be decentralized and governed by a diverse group of passionate, dedicated community members. Transferring a meaningful amount of authority to a real and engaged community is absolutely crucial to establish decentralized governance.

https://vimeo.com/956087050

The ZK token is a protocol token that allows token holders to introduce and vote on protocol upgrades and pay for network fees using ZKsync’s native account abstraction. Through governance-driven protocol upgrades, the community can evolve ZK to introduce staking and other functions.

As more ZK chains launch, the token can become a vital tool for coordinating technical innovation. While ZKsync Era is the first ZK chain, Lens NetworkCronos zkEVMGRVT, and a number of others will make their debut over the coming months.

It’s time to put the ZK token into the hands of the community. It’s your turn to govern ZKsync’s future. 

Community is Everything

Early users recognized ZKsync’s potential to expand personal freedom and dove in, whether that was on ZKsync Lite, trying native account abstraction, bridging in their assets, or using new dApps. That trust needs to be recognized. Putting ZK into the hands of people that share the same vision will ensure that the ZKsync protocol will continue to embody the ZK Credo.

That’s why two-thirds (~67%) of ZK will go to the community. 17.5% of the overall supply will be distributed through a one-time airdrop. The rest will be distributed over time, through ecosystem initiatives, managed by the ZKsync Foundation, and the ZK Nation governance process, to support a growing ecosystem as new users come onchain.

The remaining supply is allocated as follows: 17.2% to investors and 16.1% to the Matter Labs team. These ZK tokens are locked for the first year and then unlock over the course of 3 years, between June 2025 to June 2028. 

Power the community

17.5% airdrop to 695,232 wallets is the largest distribution of tokens to users amongst major rollups. Airdropped tokens do not have any vesting or lock up periods, and are fully liquid on day one. This amount is larger than the locked allocations for the Matter Labs team (16.1%) and its investors (17.2%).

Awarding more tokens in the airdrop than to the Matter Labs team and investors is more than a symbolic decision for the community. When the ZKsync governance system launches in the coming weeks, the community will have the largest supply of liquid tokens to direct protocol governance upgrades.

Reward real people

A well-designed airdrop rewards community members that actively participate in a network. With 6 million unique addresses on ZKsync Era, it’s tempting to eliminate bot swarms by applying strict sybil criteria. But sybil detection often cuts out real users with arbitrary filters. This was an incomplete approach for the ZK airdrop.

The ZK airdrop focuses on identifying real users using a human-first approach. A wallet’s onchain history reveals a lot about its owner habits. Real people tend to be risk-on, especially the ones that feel like a part of a community. They spend time onchain, ape in, transact, try new protocols, and hold speculative assets. Bots and opportunists are the opposite. Bots take fewer risks with minimal effort while trying to blend into the community and extract value from it.

High risk, high reward

Real humans have skin in the game. They bridge in assets that eventually trickle down into dApp and DeFi protocols to become the lifeblood for a highly liquid ecosystem. Users should be rewarded proportional to their impact on the success of ZKsync.

But there are limits. It would be easy for whales to run away with large allocations without any constraints. The ZK distribution airdrops a maximum of 100,000 tokens per address for the usage-based airdrop. Select addresses that are also eligible for the contribution-based airdrop could receive additional allocation. By capping whales, the ZK token airdrop aims to fairly rewards community members that contribute to ZKsync in different ways.

Airdrop

There are two ways to qualify for the 17.5% airdrop:

  • Users (89%): ZKsync users who transacted on ZKsync and met a threshold of activity.
  • Contributors (11%): Individuals, developers, researchers, communities, and companies who contributed to the ZKsync ecosystem and protocol through development, advocacy or education—regardless of their activity on ZKsync.

Eligibility and allocations for the airdrop were based on a snapshot of activity on ZKsync Era and ZKsync Lite taken on March 24th, 2024 at 0:00 UTC, marking the one-year anniversary of ZKsync Era mainnet launch.

Usage-based Allocation

Step 1. Eligibility 

To start, every address that has ever transacted on ZKsync Era and ZKsync Lite was checked against eligibility criteria that identifies people who thoughtfully spent time exploring ZKsync. Each address must have at least one point to be eligible for the airdrop.

Step 2. Allocation 

After determining a wallet’s eligibility, its allocation was calculated based on crypto assets bridged into ZKsync Era. The formula adjusted an address’s allocation based on their assets in ZKsync Era — in wallets and in DeFi — together with how long those assets were in ZKsync Era. The value-scaled allocation for each address was then boosted by each additional point they earned. The more points received, the larger the final allocation, up to a capped amount of 100,000 ZK.

Step 3. Multipliers 

Each address could receive multipliers based on activity that signaled a high likelihood of human behavior or contribution to ZKsync. These multipliers apply on top of eligibility and allocations from ZKsync Era and Lite usage.

  1. Being a part of ZKsync’s flourishing culture by owning ZKsync-native NFTs
  2. Supporting the ZKsync ecosystem by holding ZKsync-native ERC20 tokens
  3. Experimenting with ZKsync Era’s native account abstraction by using smart contract wallets
  4. Receiving and holding previous airdrops from other ETH communities to stay committed to the long-term success of a network
  5. Transacting with popular ETH mainnet smart contracts and exploring new use cases and dapps

After Step 3, each address was assigned a token allocation. Addresses had to meet a minimum requirement of 450 ZK and were capped at a maximum of 100,000 ZK. Addresses with fewer than 450 ZK had their tokens recycled back into the pool. Addresses with more than 100,000 ZK had their excess tokens recycled back into the pool as well. These tokens were then redistributed and brought the minimum allocation up to 917 ZK.

Step 4. Thoughtful Sybil Detection

At this point, the vast majority of sybils have been naturally eliminated through the eligibility and allocation criteria. Industrial farmers play destructive games. They give very little to extract a lot, like parasites leeching off the community. The human-first approach inverted this asymmetry, to the advantage of real people. It recognizes and rewards users who gave a lot and added value to the community.

At the end of the allocation process, each wallet was run through an additional sybil detection step, which eliminated most obvious swarms. It intentionally used a very conservative heuristics framework, to avoid accidentally punishing real people. This approach accounts for some sophisticated bots getting through, but value-scaling makes sure that their token allocations remain small.

Further in-depth details on the ZKsync usage-based portion of the airdrop can be found in our documentation. 

Contribution-Based Allocation

A smaller percentage of the overall airdrop (11%) was allocated to individuals, developers, researchers, communities, and companies who contributed to the ZKsync ecosystem and protocol through development, advocacy or education, regardless of network usage.

More than half (5.8%) of this allocation includes the treasuries of ZKsync native projects building on ZKsync Era, including DeFi protocols, ZK chains, NFT collections, decentralized marketplaces, infrastructure, gaming, and more. These projects know their communities better than anyone else and know how to best use that allocation to grow even further.

The remaining amount was allocated to contributors, companies, and individuals that laid the groundwork on which ZKysnc was built:

  • Contributors to organizations developing Ethereum including execution clients, consensus clients, developer tooling, RPCs, and other projects that have had a positive impact on ZKsync.
  • Contributors to Github repos that have advanced blockchain technology and directly or indirectly contributed to ZKsync's success, including important work related to blockchains, zero knowledge proofs, developer tooling, and developer education.
  • Educators onboarding developers and security researchers, and contributed to the ZKsync Community Hub on GitHub
  • Contributors to Github repos working on zero knowledge proofs, Ethereum dev tooling, open-source software.
  • Security researchers participating in audit contests hosted by Cantina, Code4rena, and CodeHawks
  • ZKsync community mods, ZK Credo translators, ZK Quest participants, and in-person event attendees.

Finally, 0.4875% of the total supply was allocated to a small group of experimental onchain communities for exploring novel ways to organize using tokens and NFTs. These communities include $DEGEN and $BONSAI airdrop recipients, Crypto the Game players, and Pudgy and Milady holders.

Further in-depth details on the contribution-based allocation can be found in our documentation. 

Minting, Claiming and Delegation

Community members can check their eligibility at claim.zknation.io, and will be able to claim their tokens starting next week until January 3rd, 2025. Eligible GitHub developers and ZKsync GitHub Discussion Helpers must associate their address to their account by June 25th, 00:00 CEST to be claim. External Projects, Protocol Guild and ZKsync native project contributors will be able to claim starting June 24th, 2024.

With ZKsync’s native account abstraction, claiming your ZK is gas free.  Once claimed, token holders can participate in the governance of the ZKsync protocol and either self-delegate, or delegate their token voting rights to a representative they believe will continue advancing personal freedom for all.

To stay up to date on the upcoming claim, follow the official channels:

Link

 

 

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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.

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

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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.

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The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
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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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