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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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🤖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.
 
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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.
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This means anyone can contribute compute, contribute models, validate outputs and can participate.
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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.
 
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Train on Azure.
 
Run foundation models from OpenAI.
 
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It can't.
 
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👇 Crypto Donations 👇

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Navigating the world of blockchain 🧭
Navigating the world of blockchain can feel like learning a completely foreign language. Between technical jargon and fast-moving Web3 terminology, getting started can be overwhelming.

Whether you are exploring digital assets, building on-chain, or simply trying to understand decentralized technology, here is your foundational glossary of essential blockchain terms every beginner should know.

🏛️ 1. Core Architecture: The Base Layer

  • Blockchain: A distributed, immutable digital ledger that records transactions across a peer-to-peer network of computers. Once data is written to a block and added to the chain, it cannot be altered without altering all subsequent blocks.
  • Block: A collection of verified transactions grouped together. Once filled, the block is cryptographically linked to the previous one, forming a chronological "chain."
  • Node: An individual computer connected to a blockchain network that helps validate transactions, store ledger data, and maintain network consensus.
  • Consensus Mechanism: The set of rules and algorithms that network nodes use to agree on the validity of transactions.

    • Proof of Work (PoW): Requires miners to solve complex mathematical puzzles using computational power (e.g., Bitcoin).
    • Proof of Stake (PoS): Requires validators to lock up ("stake") native tokens as collateral to participate in block validation (e.g., Ethereum).

🔑 2. Ownership & Security: Wallets and Keys

  • Public Key (Address): An alphanumeric string that acts like your bank account number or email address. It is safe to share publicly so others can send you digital assets.
  • Private Key: A secret cryptographic passphrase or key that grants full access and control over your wallet assets. Never share your private key or seed phrase with anyone.
  • Seed Phrase (Recovery Phrase): A sequence of 12 to 24 random words generated when you set up a wallet. It acts as the master backup key to restore your wallet and access your funds on any device.
  • Hot Wallet vs. Cold Wallet:

    • Hot Wallet: A software-based crypto wallet connected to the internet (e.g., browser extensions, mobile apps), making it convenient for frequent transactions but higher risk.
    • Cold Wallet: An offline hardware device (e.g., Ledger, Coldcard) designed to isolate private keys from internet-connected threats.

⚙️ 3. Execution & Functionality: Smart Contracts and Apps

  • Smart Contract: Self-executing code stored on a blockchain that automatically enforces agreement terms once predetermined conditions are met—eliminating the need for intermediaries.
  • dApp (Decentralized Application): Applications built on top of a blockchain network that run via smart contracts rather than centralized cloud servers.
  • Gas Fees: Network transaction fees paid to validators or miners to cover the computational energy required to process actions on a blockchain.
  • Layer 1 vs. Layer 2:

    • Layer 1 (L1): The underlying primary blockchain network (e.g., Bitcoin, Ethereum, Solana) that handles base security and finality.
    • Layer 2 (L2): Secondary frameworks or companion networks built on top of an L1 to increase transaction speeds and lower gas fees (e.g., Arbitrum, Optimism, Base).

💰 4. Financial & Market Concepts

  • Tokenomics: The economic design, supply dynamics, utility, and distribution model of a cryptocurrency or token project.
  • DeFi (Decentralized Finance): Financial services—such as lending, borrowing, trading, and earning interest—built on smart contracts without traditional banks or financial intermediaries.
  • Liquidity: The ease with which an asset can be bought or sold in a market without significantly impacting its price.
  • DYOR (Do Your Own Research): A foundational golden rule in the Web3 space reminding users to independently verify technical code, whitepapers, and team backgrounds before making any capital commitments.

💡 Quick Cheat Sheet

"Not your keys, not your coins."

If you do not hold the private keys or seed phrase to your digital wallet, you do not truly own the assets inside it—a centralized entity or exchange does. Always prioritize security first as you explore the space.

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AI Is Coming for Your Job Title

Artificial intelligence may or may not take your job, but it has already broken into the human resources department and vandalized the org chart.

The evidence is all over LinkedIn, where perfectly serviceable occupations now arrive wearing titles such as “forward-deployed and agentic AI architect.” That person may be building sophisticated software. They may also be helping a chatbot remember what happened three prompts ago. Either way, somebody approved the business cards.

The expanding AI lexicon offers a useful counterpoint to the darker debate about technology and employment. Most discussion centers on how many jobs AI will eliminate. Hiring data presents a more complicated picture that includes a weak overall labor market containing a small but rapidly growing neighborhood of AI-related work.

Indeed Hiring Lab found that the number of postings on Indeed mentioning AI surged 134% from its February 2020 level by the end of 2025, even as total postings stood only 6% above that benchmark. AI appeared in a record 4.2% of Indeed postings in December.

AI, in other words, is not merely changing work. It is adding syllables to it.

The Titles Employers Actually Want

The undisputed champion is AI engineer, which ranked No. 1 on LinkedIn’s 2026 Jobs on the Rise list. The ranking, based on growth during the previous three years, also highlighted AI consultants and strategists, AI and machine-learning researchers and data annotators.

The title is popular partly because it is wonderfully accommodating. An AI engineer might build applications around large language models, connect corporate data to an AI system, improve model performance or spend Thursday afternoon persuading a customer service bot not to offer refunds for products the company doesn’t sell.

Indeed’s data showed the terminology spreading beyond Silicon Valley. Nearly 45% of data and analytics postings contained an AI-related term at the end of 2025, along with roughly 15% of marketing postings and 9% of human resources listings. A more recent Indeed analysis reported by Business Insider found that the number of frequently advertised job titles explicitly referencing AI rose from 264 in 2022 to 822 in the first quarter of 2026. Nearly two-thirds were outside traditional technology fields.

That produces titles such as AI marketing manager, AI learning specialist, responsible AI counsel and AI transformation lead. These are not always new occupations. Frequently, they are familiar jobs that have discovered a highly effective résumé keyword.

LinkedIn data cited by the World Economic Forum estimated that AI investment has supported 1.3 million positions, including AI engineers, data annotators and forward-deployed engineers, plus more than 600,000 AI-enabled data center jobs. The server racks, unlike the chatbots, still need electricians.

The Jobs With the Science-Fiction Salaries

At the upper end, AI has created a compensation market that resembles professional sports, except the competitors wear hoodies and discuss inference latency.

Syracuse University review put chief AI officer compensation between $200,000 and more than $500,000, while specialized roles can exceed $400,000 after bonuses and equity. Frontier research engineers, AI infrastructure specialists and engineers who can train or deploy advanced models command some of the largest packages.

Then there is the forward-deployed engineer, an old Palantir title that the AI boom has placed on a rocket sled. These engineers embed with customers, translating an executive’s desire to “do something with AI” into software that works. The Next Web reported that Indeed postings for the role were about 19 times higher in January than a year earlier.

CTO guide from the blog Signal Through the Noise placed forward-deployed engineer compensation between $238,000 and $700,000, research-engineering packages as high as $1.4 million and chief AI officer compensation above $1 million in some cases. It also made a less flattering observation: Many lavishly differentiated titles describe the same three basic functions. People build AI products, train models or keep the infrastructure from catching fire.

The Department of Unnecessary Titles

AI has created some genuinely new work. Evals engineers design tests to determine whether models perform reliably. AI red teamers try to make systems fail before customers do. Model behavior engineers study why an AI system responds as it does. AI governance leaders manage risks involving data, bias, security and regulation.

Other titles seem to have escaped from a brainstorming retreat.

There is the Claude Evangelist, whose mission apparently combines product education with the traditional duties of an apostle. There are vibe coders, who build software by describing what they want and accepting AI-generated code with varying degrees of supervision. “Vibe engineer” is the more respectable version, roughly equivalent to putting on a blazer before asking the machine to fix the login page.

“Context engineer” is a real discipline involving the data, instructions, memory and tools supplied to AI models. “Prompt engineer,” once advertised as a possible six-figure profession for gifted chatbot whisperers, is increasingly treated as one skill inside a broader AI role.

The CTO guide also identified “builder,” “AI-native developer,” “RAG engineer,” “agentic AI engineer” and “principal agentic GenAI forward-deployed context architect,” the last of which appears to require both technical proficiency and exceptional lung capacity.

Has AI created entirely new jobs? Absolutely. Some occupations, including AI safety, evaluation and model governance, exist because modern generative systems introduced new technical and business problems. However, many job titles are old jobs with fresh vocabulary, higher salary bands and a sudden aversion to the words “software developer.”

That may be the safest prediction about AI and employment. The machines will automate some tasks, generate others and force companies to rethink the division of labor. Before any of that is settled, however, corporate America will form a steering committee, appoint a chief agentic transformation evangelist and schedule a meeting to determine what that person does.

Source

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