Mirror Tang

ZEROBASE Earn offers a brand new way for you to easily earn real income using your everyday devices. Whether it's a smartphone, laptop, or smart TV, the devices you have can connect to our zero-knowledge proof network and bandwidth sharing system to automatically generate income. No technical barriers, no mining machines, no complex setups—just connect your device and start earning.

We are now opening the ZEROBASE Earn test network to users worldwide. Depending on the number of devices, online duration, and local network conditions, users can earn between $20 and $300 per month. According to preliminary data, users in the United States and Taiwan earn an average of $20 to $40 per device each month. Don’t miss this opportunity to turn your idle devices into a stable source of passive income.

zkVerify is a verification layer infrastructure built for a trustless digital future, focusing on large-scale zk proof verification services, providing a bridge for computational trust between on-chain and off-chain worlds. In the current trend of modular and service-oriented ZK proof generation, zkVerify is becoming the 'trusted endpoint' of the entire ecosystem—any result of off-chain computation that can generate a ZK proof can be verified in a high-performance environment through zkVerify and broadcast validity signals to any L1 or L2 chain.

In the architecture of ZEROBASE, we always emphasize: 'Proof is the most fundamental language connecting privacy computing, on-chain finance, and real-world trust.' The ZK Application Network (ZK App Network) we designed allows developers to publish any ZK tasks (such as policy verification, identity proof, AI auditing, data integrity checks, etc.) and, based on the Prover Network + zkVerify verification layer, submit these proof results to the target chain or a general trusted browser.

ZEROBASE uses a 'ZK + TEE' three-layer architecture to tell you the answer.

TEE Layer: ZK circuits, strategies, and nodes run in a hardware-isolated secure environment TEE, ensuring the execution process is tamper-proof and data is always encrypted. Everything runs in a 'vault' that cannot be altered or seen by anyone.

ZK Layer: The key execution results of the TEE layer are transformed into verifiable zero-knowledge proofs, supporting range proofs, validity proofs, state transition proofs, etc. Anyone can verify correctness, but no one knows the execution details.

To ZEROBASE community users:

We officially announce: The Guinness World Record Challenge will be extended by one month!
This extension is made based on fully listening to community feedback and the upcoming cooperation opportunities, in the spirit of openness and transparency.

Why this is important:

Community Voice
We have received a lot of user feedback requesting an extension of the challenge period to achieve higher reward tiers and allow more people to participate.

Strategic cooperation is imminent
We are actively negotiating with new partners and expect to bring more exposure and prize pool resources to the challenge in the future.

This community call will bring key updates, ongoing activities, and a preview of ZEROBASE's next steps.

Here is the agenda for this session:

🔹 Latest updates from ZEROBASE
- We are continuously optimizing the gnark prover and circom prover;
- We are integrating the on-chain verifier -- Aligned Layer;
- We have updated the TVL page on DeFiLlama to better meet analysis standards.

🔹 Recent achievements of ZEROBASE
- Due to enthusiastic participation, the registration deadline for the GWR challenge has been extended to July 15;
- Twitter continues to update more about the ZEROBASE project and team dynamics;

The boundaries of blockchain trust extend far beyond the transactions themselves.

Can you imagine? The operational status of the entire infrastructure, node collaboration efficiency, fairness of staking incentives, and even complex off-chain business logic can be verified in real-time, efficiently, and with privacy protection through Zero-Knowledge Proofs (ZK).

ZEROBASE is leading this revolution—ensuring that every layer of infrastructure can be verified and every computation is trustworthy.

ZEROBASE has created a verifiable and scalable ZK Proving Layer—

The supporting ecosystem includes: zkCEX, zkLogin, zkDarkPool, zkVote, zkFi,

Welcome to join and be the first to learn about ZEROBASE's latest technological advancements, community activities, and TGE plans.

This agenda:

🔹 Project Progress

The Tako circuit has been integrated into the Gnark Prover and deployed in TEE (Trusted Execution Environment) to ensure data privacy and execution integrity.
Circom Prover has added a log monitoring component to quickly locate program faults and accelerate repairs.

🔹 Phase Achievements

Coinlist event rewards have been fully distributed, log in to ZEROBASE to check your ZB points.
Participants in the ZEROBASE Guinness Challenge will soon be able to receive digital and physical certificates.

ZEROBASE Staking is a yield model driven by real fund efficiency and secured by zero-knowledge proofs to ensure execution safety.

User funds participate in operations immediately after entering, primarily generating returns through two mechanisms:

🔹 Arbitrage Strategy: High-frequency arbitrage on Binance and risk-neutral arbitrage across exchanges
🔹 ZEROBASE Prover Network income: The real asset income from this network will be distributed to users

Arbitrage strategies bring stable returns and are risk-neutral

- User funds are mapped to Binance, Bybit, or Hyperliquid through Ceffu.

- Funds are used by the exchange for arbitrage strategies. The arbitrage strategies are executed by partner liquidity funds, with each operation recorded on-chain and accompanied by yield data.

Regarding the TGE issues that community users have recently mentioned, preparations are underway, and there are currently three deficiencies.

1. The proof network and PCDN combined zero-cost product is still in a closed beta test, no need to buy equipment, and with personal computers/phones/boxes, it can earn about 1U daily (early users will have a 3x nesting bonus, meaning about 3U/day per device).

2. Recently validating the acquisition of natural social media traffic, while also promoting products related to Google Cloud and YouTube traffic distribution, which has taken some time.

3. New products have been added, and the economic model needs to be redone. The algorithm part has not been addressed due to lack of time, and I need to lead students to work on it; it's a serial project. The trading department is also being formed, which is part of the serial project and relates to future profit margins.

We are pleased to announce that (X: @ZEROBASEzk) has officially integrated (X: @Ingo_zk ICICLE) into our application layer circuit. As a pioneer focused on high-performance cryptographic computing, Ingonyama's core product ICICLE is a multi-platform cryptographic library designed to accelerate zero-knowledge proofs (ZKPs). By supporting CPU, GPU, Apple Silicon, and even self-developed ZPU™, ICICLE offers developers unprecedented performance improvements and flexibility.

In our recent collaboration case, Zerobase and Ingonyama worked together to integrate ICICLE into our ZK application, significantly enhancing the system's real-time processing capabilities and scalability. Through optimized Number Theoretic Transform (NTT) and Multi-Scalar Multiplication (MSM) algorithms, ICICLE helps us achieve faster and more efficient proof generation while maintaining high security.

Our upcoming conference will feature deep dives, live updates, and exclusive TGE previews 👇

🔹ZEROBASE Update

- The data preprocessing script for the Tako circuit has been completed and the circuit has been successfully deployed to the live prover network.
- Ingonyama circuit upgrade in progress - optimizing gate usage and ensuring stability of attestation keys.

🔹ZEROBASE sneak peek

- We will provide more details about TGE in an upcoming community meeting.
- Prover Network V2 and API documentation updates are coming soon.
- We will provide more insights into ZEROBASE staking.

Last week, we completed these exciting developments together:

🔹 ZEROBASE project progress:

We continue to promote the reconstruction and optimization of the official website.
The system introduced the core ecological products of ZEROBASE and showcased key feature demonstrations.
Turn on notifications, our Purr-fect Mining Squad is fully online!

🔹 ZEROBASE event updates:

The ZEROBASE Guinness World Record challenge is in full swing, and we welcome continued participation!
The winner list of the Coinlist event has been confirmed, and rewards will be distributed soon.

🔹 Community building and Twitter hot topics:

A new round of community conference calls has been held, and the community experience is continuously upgrading.

Sui@SuiNetwork's leading decentralized exchange Cetus@CetusProtocol has suffered a severe hacker attack, with a fund loss of up to $223 million.

According to a report from Extractor@extractor_web3 security team, the attacker transferred $63 million to Ethereum in just 60 seconds through a bridging protocol.

The Cetus team, in collaboration with the Sui Foundation@SuiFoundation, urgently froze $162 million, but Sui's current governance structure allows 114 validators to arbitrarily freeze wallets.

$SUI fell 15% to $3.81, $CETUS dropped 34% to $0.17, and liquidity pool tokens (like LOFI, HIPPO) plummeted by 75-80%.

We are about to start a new round of community meetings, bringing you the latest project updates, exciting event progress, and exclusive content sharing on future development directions.

The agenda for this meeting includes:

🔹 ZEROBASE Product Progress

- We will review the recent UX/UI interface optimization updates.

- Introduction of new modules coming soon, including API features for simplified verification processes and key proofing tools.

🔹 ZEROBASE Popular Events

- The HashKey KYC issue related to the Guinness Challenge has been successfully resolved, and participants can now seamlessly continue participating in the event.

- OKX Event: Successfully concluded, all rewards have been distributed.

Sam Thapaliya, the mastermind behind the Movement project airdrop scandal, posted a lengthy thread on X platform that seemed to clarify the facts, attempting to respond to Coindesk's accusations of his early involvement in the Movement project.

However, this thread not only failed to clear his suspicions but also exposed his potentially unsavory role in the Movement project. As a notorious 'puppet master', Sam Thapaliya's actions are questionable, as he may have manipulated airdrop distributions using his consultant status and could even be linked to the large-scale token sell-off incident. Below is a整理 and exposure of his defensive content.

At the 12th China International Police Equipment Expo held in 2025, the Third Research Institute of the Ministry of Public Security demonstrated a tool specifically designed for monitoring Telegram. According to reports from the South China Morning Post, this system has collected more than 30 billion pieces of information involving 70 million Telegram user accounts and 390,000 groups and channels.

This article aims to speculate on the underlying technical means through publicly disclosed information and to provide ordinary users legally using this software with personal privacy protection guidelines.

In the current digital governance system in China, Telegram, as a widely used encrypted communication tool for overseas communication, anonymous collaboration, and information dissemination, has become a key target for national intelligence agencies' monitoring. The 'Multi-dimensional Intelligence Analysis Terminal for Personal Extreme Behavior' demonstrated by the Third Research Institute of the Ministry of Public Security at the 12th Police Equipment Expo is a dedicated system developed for practical monitoring of Telegram. This system is not one that 'may have' technical capabilities, but one that is fully deployed, operational in real situations, and integrates a complete set of intelligence strike systems including network monitoring, social graph reconstruction, cross-platform data retrieval, behavior scoring, and device intrusion, aimed at 'systematically identifying, modeling, and intervening' all users of Telegram who touch sensitive content.

In the 1990s, MIT. Amit Sahai and Salil Vadhan raised a question that hardly anyone outside cared about:
"Is there a complete problem for statistical zero-knowledge?"

They eventually found the answer: the statistical difference problem (Statistical Difference, SD), also known as "Statistical Difference from Uniform" (SDU)

is one of the most core and representative problems in statistical zero-knowledge (SZK).

At that time, ZK was almost entirely 'computational':

✅ Built on mathematical challenges
❌ Security depends on the attacker's computing power
SZK is another model of privacy protection: