From Privacy Utopia to Financial Tool: My Honest Opinion on Midnight
To be honest, when I saw @MidnightNetwork forcibly combining the words 'compliance' and 'privacy', I almost spat out my morning coffee.
This logic is like saying, I want to give you absolute personal space, but on the condition that you leave a peephole in your wall for me to bring regulators over for 'routine inspections' at any time. I've been staring at their 'selective disclosure' agreement for a long time, and this design is actually quite heartbreaking. In the eyes of pure privacy players, a chain that cannot be completely hidden is basically crippled. But I also found a quite ironic reality, those projects that claimed absolute anonymity are now being delisted by exchanges one by one, becoming islands of liquidity.
I have been thinking about why at this point in time, we need a privacy sidechain like @MidnightNetwork , rather than continuing to improve existing anonymous solutions.
The core issue is that most current privacy technologies are in a state of disconnection from the real world, while the emergence of Midnight seems more like a compromise and integration with real-world rules.
It separates value and privacy through a dual-token architecture, which is indeed logically advanced, but whether this design can truly be accepted by communities that pursue extreme decentralization is still a question mark for me.
From a strategic perspective, it is an important card for Cardano's attempt to break out of its circle, but the identity of the sidechain also determines that its security will heavily rely on the consensus strength of the mainnet in the early stages.
I infer that more traditional institutions will enter Web3 through compliant privacy channels like Midnight in the future, but this requires a long process of building trust, which definitely cannot be completed at the moment the mainnet goes live.
The current Midnight is like a newly built precision laboratory, with advanced instruments inside, but whether it can produce world-changing results will depend on how effective the subsequent research teams are, and I suggest maintaining cautious optimism about its long-term value.
Midnight is not a black box privacy chain; it is more like a 'safe with drawers'
I just finished translating the Compact language documentation based on TypeScript for @MidnightNetwork . Rubbing my eyes, I actually feel quite complicated inside. Many people focus on the IOG or Cardano background behind it, but I care more about what kind of tricks are being played with the 'selective disclosure' that it has come up with. This afternoon, I tried running a simple private asset logic on the testnet, and I feel that Midnight does not intend to be another completely invisible black box. It is more like a safe with drawers; you can show which drawer you want the regulators to see by throwing them that specific viewing key.
Recently, I have been keeping an eye on the deployment progress of the mainnet node for @Fabric Foundation . I found that many people actually misunderstand its dual-token model, thinking that $NIGHT is just an ordinary governance token.
In fact, this separated design is aimed at solving the most troublesome "volatility dilemma" for privacy chains. This means that when you use the protected DUST to pay transaction fees, you don't need to worry about the mainnet token price surging to the point where you can't even run a smart contract. However, this design also brings a very real challenge: if the output curve of DUST is not adjusted properly, the selling pressure from early holders can directly collapse the value system of DUST.
I believe that Midnight's choice to launch at this time is actually a gamble on the institutional demand for privacy compliance. After all, its Selective Disclosure does give traditional finance a way out. However, walking this tightrope is very difficult; as soon as the compliance standard is slightly exceeded, the native crypto circle may not accept it.
So far, it does seem to be more solid at the technical level than existing privacy solutions. However, I deduce that its liquidity at the initial launch on the mainnet may be relatively dry. The current valuation actually already includes a large part of the expectation for a premium on the Cardano ecosystem, so entering at this time is actually a bet on its landing speed in large-scale applications. I will maintain a half-position wait-and-see.
As more and more AIs appear in computers, the internet might also need to change.
Sometimes you suddenly discover something quite interesting.
There are more and more AI tools in the computer. writing will use one AI to help organize thoughts,
when coding, it might be another AI assisting,
sometimes even letting AI analyze the content generated by AI. Slowly, it feels like there are a few "digital colleagues" in the computer.
Some are good at writing, some are good at analyzing problems, and some are good at processing data. But when these AI tools increase, a very real problem arises -
When AI starts to 'train' each other, the internet may also need to change.
Sometimes when installing new AI software on the computer, I get lazy and don't want to tinker with it myself when things don't go well. I just let another AI help me train it.
Let it analyze problems, modify configurations, and run tests. Many times it can really get things done. Sometimes watching this process is actually quite interesting. Software is helping software solve problems. Slowly, you will find that many things are no longer just 'people operating software,' but rather software working together with software. For example, one AI writes code, another AI is responsible for testing, yet another system helps you deploy. The whole process is actually very close to automated operation.
Recently, I’ve looked through a bunch of projects, and it’s actually quite obvious that many are purely meme narratives, with popularity coming and going quickly.
On the contrary, projects with specific scenarios tend to last a bit longer.
Clutch DEX is focusing on the World Cup prediction market + DEX integration this time.
The World Cup itself is a global-level traffic event, and products like prediction markets are particularly hot, with theoretically high participation once the events begin.
Moreover, they already have GO FIFA public testing and over 50,000 activation addresses, indicating that they are not starting from scratch.
I personally participated with a small amount to test the waters, Specific rules can be found in the Quote below.
Join the channel dapp: 👇 invitation code: B8B844 https://gofifa.io?invite_code=B8B844
What will the network look like when machines start collaborating with each other?
Sometimes I look at the current AI narrative from a different perspective.
People often discuss what AI can do and how efficient it is, but there is actually an interesting change — collaboration between machines is gradually increasing. In the past, many systems were 'human operating machines'.
For example, people write code, give instructions, and confirm results.
Machines are just tools. But now the situation is a bit different.
More and more AI agents can complete an entire process by themselves:
taking on tasks, processing data, generating results, and then handing the results over to the next system to continue execution.
When many people hear the term ‘blockchain,’ their first instinct is still to think of transactions, assets, and finance. But sometimes I wonder: in the future, blockchain might not just be a financial system—it could also become the foundational infrastructure for machine collaboration. Today, an increasing number of AI agents are already capable of automating tasks, such as writing code, analyzing data, and even helping people complete complex workflows. If these automated processes continue to expand, the question of how value is settled will inevitably arise. After all, if every step still requires manual confirmation, efficiency will ultimately remain constrained. That’s why I find the approach taken by @7oken quite intriguing. It seeks to record the actions performed by machines and then carry out verification and distribution within the network. In this structure, $ROBO functions more like a unit of value within the network. Anyone who executes tasks or contributes resources can use it to generate incentives. Once AI starts working continuously, the real challenge—and the next big question—will be how the economic system actually operates. #ROBO #robo$ROBO
When AI Starts Getting Work Done, How Should We Measure Its Value?
I’ve been pondering a question lately:
If in the future, AI or robots end up handling most tasks, then how exactly should we value these actions? Today, it’s already quite common for AI to write code, process data, and execute automated trades.
But if you think about it carefully, after all this work is done, who pays? How do we verify the results? And how do we distribute the rewards? If humans still need to click ‘confirm’ at every step, then the true value of automation ends up being somewhat diminished. So when I recently came across
, I suddenly felt a deep sense of resonance. Their focus isn’t just about creating an AI concept—rather, they’re aiming to build a network where machines can operate autonomously.
In a market of fluctuating emotions, I pay more attention to the advancement rhythm of Fabric.
The recent feeling is very real.
The market is lively every day, but there are not many things that can be continuously promoted. Basically, it's just false prosperity. Many projects are very loud when they are rising, but once the sentiment drops, there is no follow-up.
So now when I look at projects, I pay more attention to whether there are actions of 'going down.' Today I saw @7oken open $ROBO Claim, and what came to my mind was not airdrop, but stage. First, the mainstream platform confirms liquidity, and then the Claim opens to confirm participation relationships.
These two steps are actually a very complete structure.