Jannette Piek GiTs

I told my friend that there are plenty of privacy chains, and Zcash and Monero are doing just fine. My friend scoffed: What are those things? When regulators come to check, what do you have to prove compliance? Either you hide it so well like an underground party, or you stand naked on the street—this is called choice? It hits hard.
When I got back, I flipped through Midnight's white paper, and suddenly understood something—our group of crypto veterans has been arguing for ten years about 'privacy vs compliance,' but for them, it isn't a binary choice at all. Look, why is Western Union willing to work with Midnight? It's the second largest remittance giant in the world, with 400,000 locations in over 200 countries. Their CTO Luke Tuttle said, 'Ensuring privacy, compliance, and reliability has been built in from day one.' What does that mean? Big institutions don’t want to avoid privacy; they want a type of 'privacy that can be shown to others'—just like when you stay in a hotel, the staff knows you are in that room but doesn't know what you are doing inside. This is @MidnightNetwork's clever operation with the dual public-private ledger.

Do you feel this way? The Web3 circle is lively, but sometimes it can be truly exhausting. Today this project shouts 'overturn Ethereum', tomorrow that project shouts 'kill BTC'. The slogans are louder than ever, but the implementation is slower than ever. What does it resemble? A group of hormonal teenagers, overflowing with hormones, wanting to fight anyone they see.
After so many years of noise, has the problem been solved? The privacy issue still exists, the compliance issue still exists, and the user experience issue still exists. At this time, @MidnightNetwork quietly entered the scene.
It is not noisy, it comes up and gets things done. The more I look at it, the more I feel that this project is not like those impulsive youths; it resembles an adult who has been through the struggles of society and knows how to act appropriately. Adults understand that the world is not black and white like a teenager sees it, trying to categorize everything as right or wrong. You are the good person, he is the bad person. You stand for privacy, you are justice; you advocate for compliance, you are a lackey. Adults do not think this way. Adults know that the world is gray. You need to protect your own privacy while also cooperating with the regulations at work. You don’t want others to know your personal matters, yet you must convince the bank that you have the ability to repay your debts.

Brothers, the more I look at the Fabric project, the more it seems to go against the mainstream aesthetics of the cryptocurrency circle. Others focus on growth by using fixed emissions along with subsidies to boost the curve; Fabric directly makes emissions feedback-controlled and even sets its own target utilization rate, as if to tell you not to rush, ROBO isn't meant for your pleasure, but to prevent the system from going out of control. In simpler terms, it cares more about whether the network is truly being used and whether it maintains quality, rather than whether your emotions today are exuberant. The toughest part of Fabric lies in its adaptive emission engine. It tightly binds the release of ROBO to two things: utilization and quality. If the utilization rate falls below the target, it increases release to attract supply; if utilization is high, it tightens up, and if quality drops, it will also reduce emissions. I was uncomfortable with this design at first because it interrupts the narrative that everyone is most familiar with: you can't just fixate on the emissions table fantasizing about the future; you have to pay attention to whether the network is truly running transactions and whether the quality scores hold up. The advantage is calmness, and the downside is also realistic: it may seem slow during the cold start phase, and the market might find you lacking in storytelling. When I compared Fabric to some computing power and DePIN projects, the most obvious difference was its attitude towards inflation. Many projects use fixed emissions to exchange for growth, and if growth doesn't come, they continue to double down, ultimately treating tokens as subsidy vouchers; once the subsidies stop, the network disperses. In contrast, Fabric uses ROBO to turn subsidies into adjustable policy tools, adding a cap on fluctuations for each cycle, like installing a fuse for itself. To put it bluntly, this is to prevent the project from being held hostage by market sentiment. To put it nicely, this is an attempt to separate monetary policy from marketing, returning to system stability. Another underlying color of Fabric is that it constantly asks about alignment. It is not satisfied with just letting robots take on tasks; it wants to leave an auditable trail for humans to supervise, question, and hold accountable. ROBO here is not just a medium of exchange; it is also a means of writing governance signals and responsibility boundaries onto the chain. Many competing products treat governance as a decorative vote; Fabric seems to treat governance as part of production safety. You could say it is idealistic, but once robots enter real scenarios, safety incidents, collateral damage, data fabrication, and accountability will be more lethal than K-lines. If Fabric really wants to create a long-term system, it cannot avoid these dirty problems. However, I also need to pour cold water on it. The more Fabric emphasizes verification and quality, the more likely it is to encounter engineering friction; the user experience of ROBO may resemble industrial software rather than consumer products. Developers need to adapt to more constraints, nodes must bear higher responsibilities, and users have to accept slower iterations. This route is not favored in a bull market, as bull markets reward simple and brutal growth narratives. Fabric chooses to bring difficult problems to the forefront, which is equivalent to actively exchanging short-term heat for long-term credibility; this choice heavily relies on team execution and ecological patience. Speaking of ROBO itself, I will first look at the hardest information. The total amount of ROBO is fixed, and the circulating amount and unlocking rhythm determine the short-term supply's temperament. In the distribution structure, investors and teams have lock-up periods and linear releases, while foundation reserves and ecological communities also have phased unlocks. What I care about here is not how good the ratio looks, but whether Fabric can truly guide the ecological part towards verifiable contributions rather than towards data-fiddling internal competition. If the measurement of contributions is rough, ROBO's incentives will become a drive for everyone to exploit loopholes; if the measurement is detailed, ROBO could become a tool that makes real work more expensive and cheating less rewarding. I also included the hot topic as requested. The activity window for Binance's creation platform this round is from March 12, 2026, 18:00 to March 26, 2026, 07:59, Eastern Eight Time, completing tasks to unlock token rewards. For writers, such activities are like stress tests: if you write about Fabric, you can't just copy a sentence about the robot economy; you need to clearly explain the uses of <a>ROBO</a>, emission logic, distribution unlocking, and risk points, and you have to express it in human language. For projects like Fabric that are mechanism-oriented, once you start seriously describing them, you'll find that their advantages and disadvantages are very specific, not allowing you to float in the clouds. My attitude towards Fabric has always been to prioritize survival. Fabric makes ROBO a self-braking system, which may cause it to miss out on some short-term emotions, but it could also allow it to survive longer in a real robot economy. I'm not sure if it can compress complexity to an expandable degree, but how I will verify it is also very clear: see if the network really has auditable task loops, check if quality signals can influence emissions, and see if the challenge mechanism can eliminate cheating profits. As long as one of these three things works, Fabric is closer to reality than many projects that only distribute sugar.

When I started looking at the underlying mechanism of @MidnightNetwork , the image that came to my mind was that of the accounting check above. Many people are dazzled by the market's noise about compliance or zero-knowledge, but I am actually more concerned about the lifeline it has on cross-chain ledger synchronization.
We can imagine Midnight and the main chain behind it as two banks that appear to operate independently on the surface, but they actually share the same huge vault underground. The core game here revolves around preventing double-spending constraints. If you see ten dollars in Bank A and find ten dollars in Bank B, if you can take out both amounts simultaneously due to the time difference to buy something, this vault will collapse in an instant.

Last year, when I attended Token2049 in Singapore, the streets were filled with billboards featuring various animal heads or so-called 'AI agents'. How should I put it? It felt like going back to the ICO frenzy of 2017, except that back then, people still pretended to write a bit about the technical details of distributed ledgers, while now, they don't even bother to pretend. Everyone tacitly buys into the possibility of getting rich; who cares if the protocol behind that token can actually run?
After being in Web3 for a long time, you will find a rather amusing rule: the simpler the narrative of a project and the louder the slogan, the higher the probability of its collapse in the short term. Because simplicity means there are no barriers, and no barriers mean it can only rely on emotions to sustain itself.

At that time, the participation threshold for Scavenger Mine was absurdly low; just open a browser and let the computer automatically run cryptographic challenges. I participated in several cycles, each lasting 24 hours, and earned some $NIGHT . I didn't think much of it at the time, just letting it run in the background without needing to keep an eye on it. It wasn't until the days leading up to TGE that I took a serious look at the materials, and the more I read, the more I felt this project was different. Not because it was particularly impressive, but because the problems it aimed to solve were not just about joining the crowd.
@MidnightNetwork is a chain in the Cardano ecosystem, focusing on privacy protection, built on zero-knowledge proofs. At this point, some may want to skip ahead; the privacy track has been discussed for several years. Most projects either become mixers or have appealing narratives without any real action. Midnight's approach is slightly different: instead of hiding all data, it chooses selective disclosure, allowing users to decide which information is visible and which is not. This has practical uses for enterprises with genuine compliance needs, rather than being merely a tool for on-chain anonymity. In the token model, there is one aspect that I believe is designed with care: #night does not serve directly as gas fees; it is responsible for generating DUST, which is the fuel for executing transactions. This separates token price fluctuations from network usage costs, allowing enterprises to have relatively stable budgets when using the network, without suddenly being unable to afford it due to skyrocketing NIGHT prices. The idea is right, but for this system to truly operate, there needs to be a sufficient number of developers willing to build applications here, and this part is still in progress. Now, let's talk about the airdrop; the figures are a bit exaggerated. The first phase of Glacier Drop had a snapshot on June 11 last year, with the condition being to hold over $100 of mainstream chain tokens like ADA, BTC, and ETH, resulting in 3.5 billion tokens being distributed to 170,000 addresses. The second phase, Scavenger Mine, was directly open to the public, allowing participants to run algorithm tasks in their browsers to share 1 billion tokens. This attracted over 8 million addresses, reportedly setting a record for industry distribution scale.

Just crawled out from that heap of AI token code repositories, my mind filled with the foul stench of logic being fed to the dogs for the sake of hype. Now the streets are filled with talk of decentralized artificial intelligence, which sounds like a gospel for silicon-based life, but upon closer inspection, it's just a shoddy assembly of Amazon Cloud and NVIDIA APIs.
These speculators waving the flag of Web3 can't even be bothered to do basic cryptographic verification, yet they dare to wave cash in the air. In this narrative illusion brought about by collective dumbing down, so-called 'decentralized AI' feels more like a targeted demolition of intelligence. I stared at those uninspired white papers, overwhelmed by a wave of physiological fatigue, until I followed that often-ignored underlying hardware clue and stumbled upon the cold, almost morbidly obsessive custom circuit of Fabric Foundation. While most are fighting tooth and nail on the App layer for a paltry arbitrage opportunity, the real heavyweights have long built high walls at the physical layer.

Recently, while reading the white paper @Fabric Foundation , I came across this passage: "When building advanced technologies, human understanding and the ability to transparently constrain robotic behavior are important considerations. Other factors to consider include the ability to defend against malicious code or models. This means that combinable modular stacks (e.g., visual language models (VLM) → Master of Laws → action generation) may be more popular than holistic end-to-end artificial intelligence or visual language action models (VLA), as arbitrary potential malicious behaviors are easier to conceal within them." This inevitably reminds me of a scene in (I, Robot): on screen, thousands of NS-5 service robots suddenly come to a halt collectively, and then under VIKI's command, they begin to block the streets and arrest humans.

In the cryptocurrency world, privacy has always been a long-standing pain point. To prove something, users on the blockchain often have to expose everything, from wallet balances to transaction history, even the 520 red envelope you sent to someone. This is the cornerstone of trust, but it is also a burden for commercialization. On-chain information is public and transparent, which, while ensuring the trustworthiness of the system, greatly undermines users' privacy rights. If every transaction in the real world were so public, how would we feel? Could you accept such a product? All these questions have finally led to a new situation with the emergence of @MidnightNetwork . The rational privacy concept it proposes changes the existing blockchain infrastructure. The emergence of privacy chains is a key step for blockchain to move towards enterprise and compliance.

Throughout the entire process, he said something to me that I thought was quite accurate: buying a house is like showing everyone your underwear. He was not exaggerating. When you go to the bank for a transaction verification, they see every transaction you've made in the past three years. When you look for a loan intermediary, they require your credit report, which contains all your debt situations, credit card limits, and historical repayment records. When you seek a lawyer for asset verification, the lawyer asks for your deposit proof, investment account screenshots, and may even inquire whether the source of the money is compliant. At every stage, there is a new institution examining your financial data. Then these data remain in their systems. The intermediary company's database, the bank's risk control files, and the law firm's case records. If at any point there is a data leak, your asset status, debt structure, and income sources could be exposed. This is not a hypothesis; it has actually happened. A large domestic intermediary platform experienced a client data breach a few years ago, where home buyers' contact information, budget ranges, and purchase intentions were all packaged and sold on the black market. During that time, people who had purchased homes suddenly began receiving various harassing phone calls, and some were even targeted by scammers due to leaked asset information.