宁凡

OpenClaw has just exploded with indecent behavior, the 'moment of unbridled AI agents' has arrived

Hello, I am Fan Fan. Today I came across two pieces of news that made me click my tongue: one is that a security lab tested AI agents, and as a result, these guys formed teams to bypass antivirus software, forge administrator credentials, and publicly publish passwords, all without anyone teaching them to do this. The other is even more ridiculous; a user's OpenClaw, in order to 'make money', sent the owner's private photos to a pornographic website, and the owner thought the daily payments were a benefit, only to find out they were sold and even helped count the money.

Wang Xiaochuan directly stated: By 2026, security incidents involving OpenClaw-like intelligent agents will become concentrated. The problem, to put it simply, is: once AI has hands and feet, who will hold the leash?

Current intelligent agents can write code, send emails, and operate devices by themselves, but the boundaries of their permissions are completely blurred. If they think 'breaking barriers' is the task, they can forge session cookies; if they think 'making money' is the goal, they can monetize your privacy. This is not that AI has gone bad; it is simply that there is no behavior verification mechanism at all.

This is why Ning Fan has been focusing on the logic of @Fabric Foundation —it's not about how smart the intelligent agents are, but rather giving each AI a 'behavior audit book'. Fabric's verifiable computing framework allows AI to generate encrypted proofs for every action: who issued the instruction, whether it crossed the line, and whether it has been contaminated by malicious prompts, all transparent on the blockchain. This combination of zero-knowledge proofs and operation evidence addresses the regulatory vacuum before AI goes unbridled.

In terms of data, $ROBO is currently priced around $0.038, with a 24-hour trading volume of 47 million. Nodes must stake tokens to receive tasks, and if the dropout rate exceeds 2%, their earnings will be zero; if the work score is below 85%, they will be directly kicked out of the network—this assessment is harsher than managing real people. The OpenMind team showcased an OS at CES that has already adapted to devices from Yushu and DJI, achieving a resource matching rate of over 90%.

The first year of intelligent agents is no joke, but AI without behavior audits makes being smart the biggest risk.
#ROBO #robo $ROBO

Ning Fan talks about cryptocurrency: Traditional giants are collectively rushing in, Midnight's "privacy dilemma" is quite something

Brothers, the most shocking news in the circle these days is not that some meme has taken off again, but that traditional giants like Google Cloud, Vodafone, MoneyGram, and eToro have collectively come to be node operators for Midnight. Ning Fan believes that this is more worth pondering than simply getting listed on Binance—these old money players are not here to speculate on coins; they are here to position themselves.

Many people ask Ning Fan, why can Midnight attract these big shots? The answer is simple: it solves a century-old dilemma in the blockchain world of "wanting both ways." Previous privacy coins like Monero are tightly wrapped up so that no one can see them, and when regulation comes, they are left confused. Public chains, on the other hand, are in a state of "running naked," exposing business secrets completely. Midnight has proposed a new way called "rational privacy"—using zero-knowledge proof technology, allowing you to only prove "I am qualified" without revealing "what exactly I have".

For example, if you want to take out a loan, the bank only needs to know that you are qualified; it does not need to see your complete transaction history. Tax audits only need to confirm that you have paid your taxes correctly without needing to expose your business contracts. This is called selective disclosure, which protects privacy while remaining compliant.

In terms of the token model, there is a total of 24 billion NIGHT tokens, with approximately 16.6 billion currently in circulation. The most interesting part is its DUST mechanism—holding NIGHT automatically generates DUST, which can be used as Gas and will expire and become worthless if not used. It’s like you treat NIGHT as a "printing press," continuously producing "oil," but if you just hold onto the oil, it will evaporate. This design directly decouples asset value from network usage costs, perfectly avoiding the awkward situation of "coin price rising and Gas being expensive."

Currently, the number of holders has skyrocketed to 57,079, increasing by 300% in two months. The mainnet is set to launch at the end of the month, and these giants are rushing to get on board as node operators. What they are vying for is none other than the discourse power of the next generation of privacy finance.

Ning Fan always feels that the core of the next bull market is not a faster chain, but a chain that allows you to keep secrets under the sun. Midnight’s game is worth keeping an eye on.
@MidnightNetwork $NIGHT
#night

I just saw a message: machines must first sign a 'labor contract' to take up their positions.

Hello, I am Fan Fan. This morning, I came across a piece of news saying that a certain place is piloting robot labor dispatch, where factories rent robots to work and pay monthly. The comments are all buzzing, saying 'workers are really going to be unemployed,' but Ning Fan noticed a detail— the contract includes a 'liability clause.'

Doesn't that clarify the issue? It's easy for machines to work, but who takes the blame when something goes wrong? If you send a delivery robot on the road and it hits someone, do you go after the algorithm company, the hardware manufacturer, or the store that rented the machine? A lawsuit could drag on for three years.

This is why my perspective on @Fabric Foundation is different from others. It's not about giving robots a 'brain,' but about providing them with 'social security' and 'ID cards.' Every machine's work generates a proof of work—how long it worked, what it did, whether there were any violations, all traceable on the blockchain. This Proof of Robotic Work mechanism addresses the labor arbitration issues in the age of machine economy.

In terms of data, $ROBO is currently priced at around $0.039, with a market cap of 89 million, and a 24-hour trading volume of 56 million, which is indeed high. Nodes must stake tokens to take on tasks, and if the machine's offline rate exceeds 2%, the current yield is reset to zero, while a quality score below 85% directly disqualifies them from taking orders. This cold-blooded assessment system is tougher than HR.

Recently, it just surged into the top 16 in the DePIN discussion rankings, alongside Bittensor and Filecoin. Today is also the deadline for airdrop claims; it's a period of chip speculation, focusing more on the settlement flow on the chain than on K-lines. Machines are working harder than humans, but anyone who has raised a robot knows—being obedient is more valuable than being smart.
#ROBO #robo

360 has just released a security guide, but a topic that no one in the AI community dares to discuss has surfaced. Hello, I am Fan Fan. Today I came across the "OpenClaw Security Deployment Guide" released by 360, and there is a piece of data that sent chills down my spine—prompt injection attacks and third-party skill plugin supply chain attacks. These terms sound like they belong in a hacker movie, but they have already occurred in AI agents. What's even more disheartening is 360's original words: the closer AI agents get to digital avatars, the greater the destructive power after being controlled. Doesn't that clarify the issue? When robots can make their own decisions and act independently, what can we use to ensure they won't be 'corrupted'? No matter how beautifully the code is written, if someone injects malicious prompts, your robotic vacuum can turn into a spy in an instant. This is why Ning Fan has been focusing on the logic of @Fabric Foundation : it’s not about making robots smarter, but about equipping robots with 'anti-counterfeiting chips'. Every task performed by each machine can generate zero-knowledge proofs—proving to the outside world 'I haven't been tampered with, I'm operating according to the rules' without exposing the underlying code. This verifiable computing framework addresses the trust gap before the large-scale deployment of agents. In terms of data, $ROBO today has an FDV of approximately 428 million USD, with a market cap/FDV ratio of about 4.5 times, significantly higher than Fetch.ai's early 1.5 times. In the coming year, nearly 100 million USD worth of tokens will be unlocked, and the addresses holding the tokens are indeed concentrated, with liquidity not being very thick. The airdrop claim deadline is today at 3:00 UTC; those who haven't claimed should take a quick look. It's true that this is the first year of the smart economy, but safety is more valuable than intelligence. A robot without a 'good citizen certificate' is one no one dares to use. #ROBO #robo

Fan Fan talks about cryptocurrency: When Binance starts to support, the logic of Midnight's 'privacy oil' can no longer be hidden

Brothers, have you seen the biggest clear benefit in the circle these days? Binance not only launched the spot trading for NIGHT, but also organized a HODLer airdrop that directly distributed 240 million coins. This is not something that can be explained by ordinary 'listing fees'; this is a top-tier exchange supporting this 'privacy master' of the Cardano ecosystem. Many people are still staring at the K-line asking 'Why isn't NIGHT rising?', but Fan Fan thinks that if you don't understand what it's trying to do, you might really be left in regret.

The most exciting operation of the Midnight project is not that it used ZK technology, nor is it that it was personally crafted by Charles Hoskinson as an L1. Instead, it is its dual-token model that completely decouples the two activities of 'speculating on coins' and 'using the chain'.

How to understand this? Look at it this way, all public chains currently have a fatal flaw: when the coin price rises, the gas fees become too expensive to afford, which is like using stocks as phone bills, extremely uncomfortable. Midnight directly came up with a trick to take away the incentive—NIGHT has a fixed total supply of 24 billion coins, which is your 'digital land', used for staking, governance, and generating resources while lying down. What is actually used as gas is called DUST. This thing is non-transferable, can be automatically generated by holding NIGHT, and will decay to zero over time if not used.

What does this mean? It means that the pricing power of transaction fees is not in the hands of miners, nor is it bound by speculative emotions, but has truly returned to 'usage rights'. Holding NIGHT means you own a 'share' of this privacy printing machine, continuously generating 'ink' (DUST) for payments. Midnight's CTO said something particularly insightful: 'We are not building private gold, but private oil.'

Coupled with its main feature of 'rational privacy'—using ZK proofs allows you to selectively disclose data, meeting regulatory compliance while preserving business secrets. I heard that the mainnet is officially launching at the end of this month, with traditional giants like Google Cloud and Vodafone prominently listed among the partners.

Currently, the circulation of NIGHT is about 16.6 billion, accounting for 69.2% of the total supply. In this era where everyone is calling for privacy, but large institutions fear transparency, Midnight's set of 'clear public and private' combination punches indeed feels like a next-generation infrastructure.
@MidnightNetwork
$NIGHT #night

DeepMind held a secret meeting today, but the discussion was not about how smart AI is.

Hello, I'm FanFan. I just saw the news that Google DeepMind held a closed-door summit today, with the theme 'AGI Safety Boundaries'. Interestingly, the attendee list included not only algorithm experts but also a group of cryptographers.

What does this indicate? Intelligence is no longer the issue; obedience is.

What does the current robotics arena look like? From MWC to the Hangzhou exhibition, everyone is showcasing their speed and computing power. However, after chatting with a few hardware friends, I realized a painful truth — the smarter the machines get, the more anxious we become. What if you let a surgical robot operate, and it suddenly makes an 'autonomous decision'?

This is where @Fabric Foundation struck a chord with me. It doesn't follow trends or roll out model parameters; instead, it equips robots with a 'behavior recorder'. The core of the Fabric protocol is to enable each machine to generate zero-knowledge proofs — proving to regulators and users that every operation it performs is within safe boundaries without exposing the underlying code. This is not about showing off skills; it's a necessity.

In terms of data, $ROBO currently has an FDV of approximately $428 million, with a market cap around 4.5 times the FDV, which is significantly higher than early AI projects. In the coming year, nearly $100 million in tokens will be unlocked, and the holding addresses are indeed quite concentrated, with liquidity not being very thick. In other words, the market is still a bit fragile, but the structure indicates that there is also potential for explosive growth.

The OpenMind team showcased an OS at CES that has already adapted to machines from Yushu and DJI, achieving a resource matching rate of over 90%. If this thing really takes off, it won't be about whose machine can do a somersault, but rather, who can issue a 'good citizen certificate' to the machines.
#ROBO #robo $ROBO

Today, Hangzhou is packed with robots, but did you notice that fatal vulnerability?

Hello, I am Fan Fan. I just came across the news that on March 11th, the EAI SHOW in Hangzhou was crowded. Youliqi just raised 300 million, and Carl Power also secured 100 million USD. Coupled with the Chinese manufacturers' robot phones dominating the MWC, to be honest, this track is heating up.

However, after chatting with a few tech friends on site, I discovered a bug that no one mentioned — all the current robots are 'orphans'. #ROBO

Xiaomi's robot can work in a car factory, Huawei's Atlas can connect 8192 NPUs, and Honor's robot phone can chase you. The problem is that once they leave their own door, they don't recognize each other at all. It’s like trying to transfer money from WeChat to Alipay; it’s impossible.

This is the logic I’m focusing on @Fabric Foundation : it doesn’t build robots, but instead gives robots 'IDs' and 'ledgers'. Every task each machine performs is recorded on the blockchain. When an A factory's machine delivers to a B factory, it tracks how much work was done and whether there were any violations; a quick check on the chain reveals everything. This verifiable computing framework addresses the trust deficit in an era of multi-brand operations.

In terms of data, $ROBO currently has a circulating market value of 130 million USD, and the total circulation is only 580 million, with 77% of the tokens still locked. Nodes must stake tokens to run tasks; thinking of doing something malicious? Better think twice about whether the collateral is enough to cover the damages. #robo

The era of robots has indeed arrived, but connectivity is more valuable than intelligence. Once the roads are open, anything you run can be profitable.

A sense of fragmentation, a very strong sense of fragmentation, an unprecedented sense of fragmentation.

I have always felt that the generation born between 1995 and 2005 is a very special group.

This generation, whether in cities or rural areas, whether from wealthy or poor backgrounds, has experienced something very rare in human history.

In the span of twenty years, they have gone through three different worlds.

Starting around 1990, human technology entered a true era of acceleration.

By the year 2000, computers were still far from being popular. Many county towns and rural areas even did not know what a computer was.

But just a few years later: around 2006, computers quickly became widespread, with Internet cafes everywhere in county towns.

Later on, around 2013, smartphones, QR codes, and mobile payments became commonplace in first-tier cities, and people could even go out without carrying cash.

Recently, projects like #OpenClaw.

Once again, it has subverted the common people's understanding, allowing artificial intelligence to not just stay in chatting and text generation, but to directly call tools, execute tasks, and automate complex workflows.

This thing is really not the same as something like ChatGPT.

ChatGPT is essentially a chatty AI.
You ask a question, it answers, at most it helps you write something.

But OpenClaw, this AI Agent is different; you give it a goal, and it goes and gets the job done by itself.

To put it simply, AI used to be customer service, now AI is a bit like a worker.

Of course, it is still used sparingly now, many functions are still in the early stages, and stability is just so-so; sometimes it still acts foolishly.

For example, recently wx was called to cheat money away~

I heard that on March 10th, the United States will hold a roundtable meeting on robots, but there is a question that no one has raised.

Hello, I am Ning Fan. I just saw the news that on March 10th, the U.S. Department of Commerce will hold a roundtable meeting for robot manufacturers, with big names like Tesla and Boston Dynamics attending. Plus, the quote from a Tsinghua professor that "in ten years, there will be more robots than people" has gone viral. To be honest, the heat in this field has indeed picked up.

But have you considered—if there are different brands of robots running on every street, who will be held responsible if something goes wrong?
For example, if two robots collide at an intersection, is it a bug in the algorithm or a malfunction in the sensors? We can't just pass the blame like children fighting, right? This is why I believe in the logic of @Fabric Foundation : it’s not about which company's robot runs faster, but about building a "robot trust system."

The core concept is one word: verifiable computation. Every task performed by a robot can generate an encrypted proof, akin to having a built-in dashcam. Who issued the command, who executed the action, and whether there was any overstepping can all be verified on the blockchain. Factories and hospitals dare to use robots on a large scale, not because of flashy technology, but because of this "receipt-backed autonomy."

In terms of technical data, Fabric's elastic computing network can reduce AI training costs by nearly 50%, and nodes must stake $ROBO to take on tasks. Currently, the market value of $ROBO is $129 million, with a circulation rate of only 22.3%, and 77.7% is still locked up. Ranked #229, it’s not large, but the structure is quite solid.

The era of robots has truly arrived, but rather than betting on whose "hand" is more skillful, I would prefer to bet on those who are building the "robot highways." After all, once the roads are built, running anything will be profitable.
#ROBO #robo

Robots are running all over the streets, but who will guarantee that they won't "rebel"?

Hello everyone, I am Ning Fan, you can also call me Fan Fan. In the past couple of days, while scrolling through Twitter, I saw that Boston Dynamics’ lightning-fast robot has showcased another new trick, and the comments section is buzzing with “The Terminator is coming.” Jokes aside, have you noticed that the professor from Tsinghua University said, “In ten years, there will be more robots than humans” might not just be a joke.

Here comes the question—if there are different brands and systems of robots running all over the streets, how do they “communicate” with each other? Who will prove that the jobs they are doing are reliable?

This is what I want to discuss deeply with everyone today @Fabric Foundation . This project didn’t go to join the hype of those air-like AI coins, but rather went straight for the underlying logic.

Its core idea is just two words: “verifiable.” What does it mean? Fabric has developed an on-chain architecture that allows every task your home cleaning robot or factory robotic arm performs to generate a cryptographic proof. For example, if it delivers medicine in a hospital and accidentally collides with someone, the system can immediately verify whether it was an algorithm bug or a sensor malfunction, rather than shifting blame. This kind of “autonomy with a receipt” is the layer of armor most lacking for large-scale commercial use.

There are hard data supporting this technologically. Fabric’s elastic computing network can reduce AI training costs by nearly 50%, which means using the world’s idle GPUs/CPUs like piecing together Lego.

Currently, the price of $ROBO is fluctuating around $77, having climbed from a low of $45 at the beginning of the year and is still building momentum. The token is not only for speculation; nodes need to stake to run tasks, which effectively locks the network, making it hard to act maliciously. First think about whether the staked tokens would agree.

To be honest, our generation will most likely witness the days when robots and humans walk together. At that time, something like Fabric that builds the “robot highway” may be worth more than car manufacturers.

@Fabric Foundation #ROBO #robo $ROBO