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This weekend I spent two days running through the Walrus testnet nodes. To be honest, the experience was better than expected, but there were also some points to criticize. Previously, when working on decentralized storage projects, the most frustrating part was the premium for permanent storage like Arweave, which is completely overkill for most non-financial Blob data. Walrus is taking a different approach; it is working on a storage solution based on erasure coding within the Sui ecosystem, clearly aiming for "high-frequency interactions".
I tested uploading a few hundred megabytes of video files, and Walrus's response speed is surprisingly fast, almost like Web2's S3, which is much better than Filecoin. The retrieval market for Filecoin has not yet fully worked, and retrieving data is so slow that it makes you want to smash your keyboard; it can basically only be used for cold storage. However, the current architectural design of Walrus clearly aims to capture the NFT metadata and DApp frontend hosting cake. However, during the testing process, I also discovered a bug; the CLI command-line tool sometimes reports inexplicable connection errors, and it takes a few retries to work, probably due to node synchronization issues.
From a technical perspective, it utilizes Sui's consensus mechanism to manage storage metadata, which is a clever approach that avoids the pitfall of creating a bulky public chain. Compared to solutions like EthStorage that completely rely on Ethereum L1 security, Walrus's cost control is more flexible. However, the documentation at this stage is too brief, and many parameters need to be checked in the source code to understand. If the mainnet can maintain this throughput, it can indeed solve the current pain point of slow loading of on-chain media resources. This kind of "lightweight" storage narrative is much more pragmatic than those projects that frequently talk about the "human civilization database".
@Walrus 🦭/acc $WAL
#Walrus
I tested uploading a few hundred megabytes of video files, and Walrus's response speed is surprisingly fast, almost like Web2's S3, which is much better than Filecoin. The retrieval market for Filecoin has not yet fully worked, and retrieving data is so slow that it makes you want to smash your keyboard; it can basically only be used for cold storage. However, the current architectural design of Walrus clearly aims to capture the NFT metadata and DApp frontend hosting cake. However, during the testing process, I also discovered a bug; the CLI command-line tool sometimes reports inexplicable connection errors, and it takes a few retries to work, probably due to node synchronization issues.
From a technical perspective, it utilizes Sui's consensus mechanism to manage storage metadata, which is a clever approach that avoids the pitfall of creating a bulky public chain. Compared to solutions like EthStorage that completely rely on Ethereum L1 security, Walrus's cost control is more flexible. However, the documentation at this stage is too brief, and many parameters need to be checked in the source code to understand. If the mainnet can maintain this throughput, it can indeed solve the current pain point of slow loading of on-chain media resources. This kind of "lightweight" storage narrative is much more pragmatic than those projects that frequently talk about the "human civilization database".
@Walrus 🦭/acc $WAL
#Walrus
Stop Believing in Permanent Storage, Walrus Gave Me a Wake-Up Call and Real Interaction Record
Last week I spent three whole days refactoring that damn NFT indexer, all because the existing storage solution was just too torturous. Previously, in pursuit of so-called 'decentralized authenticity,' I threw a lot of metadata onto Arweave, and looking back now, it was like digging a deep pit for my wallet and user experience. It was at this critical moment that I decided to get my hands dirty and test out this Walrus created by Mysten Labs to see if it was just self-indulgence in the Sui ecosystem or if it could really solve the current expensive and slow deadlock in Web3 storage.
Last night, I spent the entire night staring at the operation logs of the Rusk virtual machine, and my biggest impression is that this development team is completely writing code with the standards of building nuclear weapons. Most privacy public chains on the market are eager to slap the word 'anonymous' on their foreheads to attract those gray market flows. But if you dig deep into the commit records on GitHub, you'll find that Dusk has spent a significant amount of computing power costs on the generation logic of compliance proofs. This may seem like surrenderism to many extreme decentralization advocates, but in my view, it's precisely its most cunning aspect. I attempted to reproduce the consensus process of the Blind Bid in a local environment. The interaction experience of being able to confirm block production in milliseconds without exposing node identity and staking amount is indeed a bit magical. In contrast to the simple and crude privacy logic that purely relies on mixers, Dusk's technical granularity is clearly much finer. It actually solves an ultimate paradox that has long troubled the RWA track: how to prove that you are wearing pants without letting regulatory agencies see your underwear. The cost of this architecture is also quite evident. The computational pressure of zero-knowledge proofs has raised the hardware threshold for nodes by more than an order of magnitude, making it basically a pipe dream for ordinary retail investors to run a node on their old home computers. Moreover, to be honest, the current wallet interaction experience is really discouraging, filled with that kind of arrogant logic from engineers, completely ignoring the feelings of novice users. However, it is precisely because of this inhumanly high threshold that it filters out the vast majority of speculators who just want to make quick money. The current market is too restless, with funds chasing after those dazzling yet fleeting memes like fireworks, while no one is willing to crouch down to lay out the pipeline that can truly bring Wall Street funds in. Dusk is like a weirdo repairing a monastery in the bustling city, not catering to the current liquidity because it is betting on the next era. The heaviness brought about by extreme rigor may just be the weight that future financial infrastructure should have. $DUSK #Dusk @Dusk
Gold Breaks Through $5100: While the Federal Reserve is still pretending to sleep, the money has already voted with its feet.
The spot price of gold has quietly crossed the $5100 mark.
This is not just a breakthrough in numbers; it feels more like a silent mockery. While the elites on Wall Street are still anxious about this week's tech stock earnings and the Federal Reserve's interest rate meeting, smart money has already sensed the danger and made the most honest choice. Silver has surged like a runaway wild horse, racing up to $110 in one breath, and this violent 8.5% increase in a single day makes me feel as if I am seeing the shadows of a few years ago's cryptocurrency bull market.
Let's break down the logic behind this. This is not simply an inflation hedge; it is a crisis of trust in the fiat currency system.
This is not just a breakthrough in numbers; it feels more like a silent mockery. While the elites on Wall Street are still anxious about this week's tech stock earnings and the Federal Reserve's interest rate meeting, smart money has already sensed the danger and made the most honest choice. Silver has surged like a runaway wild horse, racing up to $110 in one breath, and this violent 8.5% increase in a single day makes me feel as if I am seeing the shadows of a few years ago's cryptocurrency bull market.
Let's break down the logic behind this. This is not simply an inflation hedge; it is a crisis of trust in the fiat currency system.
Exposing the Lie of TPS: Why Dusk's Kadcast Protocol is the Only Lifeline for Layer 1
The current public chain track is simply a competition of digital fraud. All project parties are frantically boasting that their TPS (transactions per second) can reach tens of thousands or even hundreds of thousands, as if stacking a few high-performance servers could turn blockchain into Visa. This kind of promotion is purely deceiving retail investors. As an engineer who has worked on underlying networks for ten years, I must state this harsh truth: the bottleneck of blockchain is not in the consensus algorithm, but in P2P network broadcasting.
When you shift your focus away from those flashy white papers and look closely at the underlying TCP/IP protocol stack, you will realize how terrifying a thing Dusk Network has done. They did not simply rely on burning hardware bandwidth for speed like Solana, nor did they tolerate the inefficiency of the Gossip protocol like Ethereum. They created Kadcast. This is a structured broadcasting protocol based on an improved Kademlia routing algorithm. If you don't understand Kadcast, you simply cannot comprehend why Dusk dares to claim it can achieve sub-second finality under the premise of privacy computing.
When you shift your focus away from those flashy white papers and look closely at the underlying TCP/IP protocol stack, you will realize how terrifying a thing Dusk Network has done. They did not simply rely on burning hardware bandwidth for speed like Solana, nor did they tolerate the inefficiency of the Gossip protocol like Ethereum. They created Kadcast. This is a structured broadcasting protocol based on an improved Kademlia routing algorithm. If you don't understand Kadcast, you simply cannot comprehend why Dusk dares to claim it can achieve sub-second finality under the premise of privacy computing.
The Endgame of the Stablecoin War: When Plasma Attempts to Reshape the $100 Billion Payment Landscape with Compliance and Zero Friction
The noise in the cryptocurrency market has been deafening in recent months. Everyone is focused on those AI meme coins that multiply tenfold in a day, yet few are willing to take a step back to contemplate a grander proposition: in today's world where the entry channels for tens of trillions of dollars in fiat currency are gradually being tightened by regulation, who can become the next generation of compliant settlement layers? I've been staring at the dismal K-line of Plasma for a long time, and what lingers in my mind is not when it will rebound, but why Tether and Bitfinex, these old-money players, are making such a heavy bet on a public chain that seems to have no promotional attributes at this moment. After delving into Plasma's payment architecture and its recent series of compliance arrangements, I have a vague feeling that we might be witnessing a paradigm shift from the grassroots era's Tron model to the compliance era's Plasma model. This is not just a technological contest; it is a manifestation of the game between monetary sovereignty and regulation.
Recently, I have tested all the so-called high-performance L2s on the market, and to be honest, the more I test, the more exhausted I feel. The narrative of current public chains is too frantic; Solana and Base are competing on who can release memes faster and who can host smoother on-chain casinos, as if the end of Web3 is all about PVP mutual cuts. When I shift my focus back to the payment track and re-examine the architecture that many ridicule for its coin price being a 'dead fish', I actually see a slightly different obscure logic.
Take Ethereum's current account abstraction as an example. Although ERC-4337 is highly touted, the actual implementation still feels like a patchwork. To allow users to avoid gas fees, you need to connect to a third-party Paymaster, create complex contract relays, and the integration cost for developers is extremely high. However, I looked at the testnet data from the past few days and found that this logic has been directly written into the underlying protocol. This level of native support means that for card issuers like Rain, they no longer need to maintain a bunch of technical teams to manage the gas pool; USDT directly serves as fuel. This is the key that allows traditional Fintech giants to enter the market—they are most annoyed by uncontrollable technical debt.
Of course, I'm not blindly praising this. The current verification nodes are too centralized in the hands of the officials; this must be criticized, as the degree of decentralization is leagues away from the Ethereum mainnet. Moreover, there are occasional visible delays in network synchronization, which makes the experience less than perfect. However, looking at it from the other side, this compromise of semi-centralization brings about extreme certainty. For compliant funds, they would rather have a slightly centralized but absolutely stable environment, even one that complies with the MiCA framework, than risk placing hundreds of millions of dollars on a chain that might crash at any moment or sees gas fees surge hundreds of times.
Although the on-chain data has not been very appealing in recent days, with retail investors withdrawing, I noticed that several whale addresses are quietly accumulating assets. This divergence is often quite interesting. In this era where the entire industry is creating wheels for speculation, there are too few willing to bend down and do the dirty work of 'payment pipelines.' The current low prices may precisely indicate that the market has misjudged the infrastructure as speculative targets. After all, every gambling game has an end, but transfers are indeed a steel demand.
@Plasma $XPL
#plasma
Take Ethereum's current account abstraction as an example. Although ERC-4337 is highly touted, the actual implementation still feels like a patchwork. To allow users to avoid gas fees, you need to connect to a third-party Paymaster, create complex contract relays, and the integration cost for developers is extremely high. However, I looked at the testnet data from the past few days and found that this logic has been directly written into the underlying protocol. This level of native support means that for card issuers like Rain, they no longer need to maintain a bunch of technical teams to manage the gas pool; USDT directly serves as fuel. This is the key that allows traditional Fintech giants to enter the market—they are most annoyed by uncontrollable technical debt.
Of course, I'm not blindly praising this. The current verification nodes are too centralized in the hands of the officials; this must be criticized, as the degree of decentralization is leagues away from the Ethereum mainnet. Moreover, there are occasional visible delays in network synchronization, which makes the experience less than perfect. However, looking at it from the other side, this compromise of semi-centralization brings about extreme certainty. For compliant funds, they would rather have a slightly centralized but absolutely stable environment, even one that complies with the MiCA framework, than risk placing hundreds of millions of dollars on a chain that might crash at any moment or sees gas fees surge hundreds of times.
Although the on-chain data has not been very appealing in recent days, with retail investors withdrawing, I noticed that several whale addresses are quietly accumulating assets. This divergence is often quite interesting. In this era where the entire industry is creating wheels for speculation, there are too few willing to bend down and do the dirty work of 'payment pipelines.' The current low prices may precisely indicate that the market has misjudged the infrastructure as speculative targets. After all, every gambling game has an end, but transfers are indeed a steel demand.
@Plasma $XPL
#plasma
The current secondary market is simply a patchwork scene; as long as it touches AI, it can be touted as a computational power revolution. After reading no less than fifty white papers, the vast majority of projects' so-called AI support is nothing more than a patch on the originally bloated EVM, and this AI-added approach contributes nothing substantial to computational power except for increasing gas fees. What we need is an AI-first infrastructure designed for agents from the bottom-up architecture.
A few days ago, I deeply experienced the Vanar Chain testnet, and the difference is obvious. It didn't choose the simple EVM compatibility but instead built a five-layer architecture. Especially the Neutron semantic memory layer, which hits the pain point. The current AI agents fear being mindless, forgetting after just a few sentences. The traditional method of linking the memory bank to Arweave is painfully slow, while Vanar directly supports semantic memory natively on-chain, paving the way for AI.
It’s even more interesting to compare it with Near or ICP horizontally. Near has good data availability, but the native interaction of agents is a bit lacking. When trying out Vanar's Creator Pad, I found that the barriers to issuing tokens and deployment have been lowered too much. The advantage is that developers don't need to rewrite code to transport Web2 logic; the downside is that if there is no filtering, junk projects may proliferate.
The core of AI-first is not about running larger models but whether the chain can understand the model's requirements. Kayon’s decentralized intelligent engine attempts to solve the verifiability of inference. Running AI models on-chain is a black box; how can we ensure the results are not tampered with? Vanar attempts to solve this through a bottom-level verification mechanism, which is a step above competitors who only focus on the application layer.
However, the current experience has its drawbacks. Although the official announcement claims a high TPS, there are occasional lags under high concurrency, and node synchronization has room for improvement. Additionally, the ecological framework is large, but there aren’t many killer applications that have emerged; it’s better to have practical competition than a grand vision. This is akin to decorating a luxurious mall where businesses have not fully settled in, making it feel a bit empty.
From a technical aesthetic perspective, encapsulating computational resources, semantic memory, and verification mechanisms at the L1 layer is undoubtedly the direction. We don’t need more L2 to clean up after Ethereum; we need a chain that allows AI to exist like native biology. When the market realizes that computational power is not the bottleneck, but trust integration is, the value of this native architecture will become apparent.
@Vanarchain $VANRY
#Vanar
A few days ago, I deeply experienced the Vanar Chain testnet, and the difference is obvious. It didn't choose the simple EVM compatibility but instead built a five-layer architecture. Especially the Neutron semantic memory layer, which hits the pain point. The current AI agents fear being mindless, forgetting after just a few sentences. The traditional method of linking the memory bank to Arweave is painfully slow, while Vanar directly supports semantic memory natively on-chain, paving the way for AI.
It’s even more interesting to compare it with Near or ICP horizontally. Near has good data availability, but the native interaction of agents is a bit lacking. When trying out Vanar's Creator Pad, I found that the barriers to issuing tokens and deployment have been lowered too much. The advantage is that developers don't need to rewrite code to transport Web2 logic; the downside is that if there is no filtering, junk projects may proliferate.
The core of AI-first is not about running larger models but whether the chain can understand the model's requirements. Kayon’s decentralized intelligent engine attempts to solve the verifiability of inference. Running AI models on-chain is a black box; how can we ensure the results are not tampered with? Vanar attempts to solve this through a bottom-level verification mechanism, which is a step above competitors who only focus on the application layer.
However, the current experience has its drawbacks. Although the official announcement claims a high TPS, there are occasional lags under high concurrency, and node synchronization has room for improvement. Additionally, the ecological framework is large, but there aren’t many killer applications that have emerged; it’s better to have practical competition than a grand vision. This is akin to decorating a luxurious mall where businesses have not fully settled in, making it feel a bit empty.
From a technical aesthetic perspective, encapsulating computational resources, semantic memory, and verification mechanisms at the L1 layer is undoubtedly the direction. We don’t need more L2 to clean up after Ethereum; we need a chain that allows AI to exist like native biology. When the market realizes that computational power is not the bottleneck, but trust integration is, the value of this native architecture will become apparent.
@Vanarchain $VANRY
#Vanar
Removing the Marketing Filter: What Chips is Vanar Actually Putting on the Table When We Talk About L1's 'AI Readiness'?
Recently, there has been a lot of discussion about the combination of AI and Crypto. This trend is more intense than the DeFi Summer of previous years. As a researcher who has been struggling in the infrastructure layer for many years, the current situation I see through code and architecture diagrams is extremely fragmented: on one side are PPTs that not only haven't landed but are also flying everywhere, while on the other side are hardcore attempts to truly solve the bottlenecks of computing power and data verification. Over the past few days, I have spent a lot of time immersed in Vanar's testnet and documentation, even turning their Creatorpad upside down, trying to clarify a core proposition: in a world already filled with EVM chains, is Vanar's so-called 'AI-ready' just marketing language, or has there really been fundamental changes at the underlying architecture level?
The non-fungible token (NFT) market is undergoing a painful but necessary deflation. Projects that solely rely on hype from small images will experience nearly zero liquidity by 2026, while functional NFTs are rising above the rest. The world's largest ticketing company, Ticketmaster, recently announced that it will put all concert tickets on the blockchain to combat scalpers and counterfeit tickets. This means billions of users will unknowingly use NFT technology. This seamless adoption is the true future of NFTs. The investment logic has completely changed; what matters now is what rights this NFT corresponds to, rather than what monkey it looks like. $BNB
After the correction at the end of 2025, the current index remains in a neutral to greedy area. This is actually a very healthy state. Extreme greed often indicates the arrival of a top, while the current state shows that market participants are both confident and maintain a rare rationality. For long-term investors, this moderate and steadily rising slow bull market is actually much more comfortable than a crazy bull that rises 20% in a day. $BNB
The privacy track may迎来第二春 in 2026. Although regulators remain vigilant against mixers, compliance privacy solutions based on zero-knowledge proofs are gaining popularity among enterprise users. Enterprises need privacy to protect commercial secrets, not for money laundering. Recently, there have been frequent financing news about several infrastructure projects that provide compliance privacy layers, indicating that capital is betting on the need for a controllable privacy middle layer between fully transparent blockchains and fully compliant financial worlds. $ETH
Recently, I have been tinkering with the testnet for several days and finally got a grasp of Walrus's storage logic. To be honest, I had already grown tired of the computing power stacking model of Filecoin, and the complex proof mechanisms deter ordinary developers. My first impression of Walrus is that it is a bit excessively lightweight. Unlike Arweave's focus on permanent storage narratives, Walrus clearly cares more about data availability under high-frequency interactions. When I uploaded several gigabytes of test Blob data, I found its use of erasure codes to be very aggressive; this design is clearly aimed at solving the state explosion problem rather than merely selling hard disk space.
In practice, its separation of storage and retrieval mechanisms does indeed resemble a complete storage layer more than Celestia, which is not just a DA layer. However, the current documentation is a bit too geeky, and many parameter adjustments still rely on guessing, which is very unfriendly for newcomers. Compared to traditional Web2 giants like AWS S3, decentralized solutions have always had inherent latency issues, but Walrus's performance in the Sui ecosystem somewhat breaks my stereotype; it is surprisingly fast, as if it isn't running on a blockchain. If the subsequent node incentive model can keep pace, this architecture might reshuffle the rankings in the storage race. The current storage fee model is still being adjusted, and I hope it can leave some room for developers to benefit.
@Walrus 🦭/acc $WAL
#Walrus
In practice, its separation of storage and retrieval mechanisms does indeed resemble a complete storage layer more than Celestia, which is not just a DA layer. However, the current documentation is a bit too geeky, and many parameter adjustments still rely on guessing, which is very unfriendly for newcomers. Compared to traditional Web2 giants like AWS S3, decentralized solutions have always had inherent latency issues, but Walrus's performance in the Sui ecosystem somewhat breaks my stereotype; it is surprisingly fast, as if it isn't running on a blockchain. If the subsequent node incentive model can keep pace, this architecture might reshuffle the rankings in the storage race. The current storage fee model is still being adjusted, and I hope it can leave some room for developers to benefit.
@Walrus 🦭/acc $WAL
#Walrus
Many people are shouting that Plasma is dead. Looking at that K-line which has dropped by 90%, I also want to curse a bit. But just now, to save a few bucks on transaction fees, I inexplicably switched back to the Plasma network and made a transaction. In that moment, the smooth and unobstructed zero Gas experience made me swallow back the curses that were just on the tip of my tongue.
This is simply a freak in the crypto world. On one side, the secondary market is bleeding due to emotions, making people lament that the memory of retail investors only lasts seven seconds; on the other side, the product side is so good that it makes people question their lives. Now, public chains are competing in TPS, competing in those incomprehensible modular narratives, while only Plasma is honestly competing in experience. The Paymaster mechanism is seriously underestimated; it allows me to transfer stablecoins without worrying about whether I have native tokens for Gas in my wallet. This kind of seamless payment is what Web3 should look like, rather than the noble chains that make you struggle for half an hour over a few bucks in transaction fees, only to be harvested by the likes of Sun.
Most people only focus on the price and curse, but they haven't seen how robust the Syrup pool on Maple Finance is. Institutions often have better instincts than retail investors; they don't care about short-term fluctuations, they care about the efficiency of capital turnover. While retail investors are still wailing to break even, smart money is quietly using this infrastructure to save huge costs. This extreme divergence between fundamentals and prices is often the opportunity for market mispricing.
I am now a bit excited, even feeling that this ignored moment is strangely sexy. The current price has completely digested all the panic. I'm betting, betting that this payment logic can work, betting that it can snatch a piece of meat from the hands of the Tron. Even if it’s only a small share, the current market value seems too cheap.
Don't be scared by the noise; truly useful things are never completely buried. I don't want to advise you to bottom fish; after all, I've quietly increased my position a bit, even if it's just to pay a membership fee for this handy transfer tool. @Plasma $XPL #plasma
This is simply a freak in the crypto world. On one side, the secondary market is bleeding due to emotions, making people lament that the memory of retail investors only lasts seven seconds; on the other side, the product side is so good that it makes people question their lives. Now, public chains are competing in TPS, competing in those incomprehensible modular narratives, while only Plasma is honestly competing in experience. The Paymaster mechanism is seriously underestimated; it allows me to transfer stablecoins without worrying about whether I have native tokens for Gas in my wallet. This kind of seamless payment is what Web3 should look like, rather than the noble chains that make you struggle for half an hour over a few bucks in transaction fees, only to be harvested by the likes of Sun.
Most people only focus on the price and curse, but they haven't seen how robust the Syrup pool on Maple Finance is. Institutions often have better instincts than retail investors; they don't care about short-term fluctuations, they care about the efficiency of capital turnover. While retail investors are still wailing to break even, smart money is quietly using this infrastructure to save huge costs. This extreme divergence between fundamentals and prices is often the opportunity for market mispricing.
I am now a bit excited, even feeling that this ignored moment is strangely sexy. The current price has completely digested all the panic. I'm betting, betting that this payment logic can work, betting that it can snatch a piece of meat from the hands of the Tron. Even if it’s only a small share, the current market value seems too cheap.
Don't be scared by the noise; truly useful things are never completely buried. I don't want to advise you to bottom fish; after all, I've quietly increased my position a bit, even if it's just to pay a membership fee for this handy transfer tool. @Plasma $XPL #plasma
The Finality of On-chain Payments: Why I Choose to Use Plasma for Transfers Even if I Endure Centralization Doubts
The high Gas fees of Ethereum have always been a nightmare hindering the large-scale adoption of payments. Even though Layer 2 attempts to alleviate this pain point, the complex cross-chain bridges and the need for ETH as fuel still create an insurmountable gap for users outside the ecosystem. Recently, I frequently tested a Layer 1 public chain called 'specially designed for stablecoin payments' - Plasma. Its promise of zero fees and native stablecoin payment for Gas indeed hit my pain points. After using it for a week and conducting hundreds of transfers and contract interactions, I tried to strip away the marketing filters of the project team and restore the true face of this chain from a researcher's perspective. I want to discuss whether its proud Paymaster mechanism is indeed a false proposition and how it truly compares to Tron and Ethereum Layer 2.
Stop believing in the myth of permanent storage; Walrus is reconstructing my data anxiety.
Recently, I've been playing with a few new things in the Sui ecosystem for several days and stumbled upon Walrus's Devnet. To be honest, I initially approached it with a mindset to watch a joke unfold, as the current decentralized storage space is as crowded as the Beijing subway during rush hour. Filecoin is playing dead over there, Arweave is so expensive that it makes someone like me, who is storing massive amounts of junk data, feel the pain, and Greenfield always gives me the illusion of being a rebranded cloud storage. So, I spent a lot of time this weekend running Walrus's nodes and conducting upload tests, which left me staring at the screen in a daze for half a day.
This is not to say that it is now flawless; on the contrary, the various small issues in the testnet almost made me want to smash my keyboard. However, what I see is not another project trying to cover up technical mediocrity with token incentives, but a genuine attempt to address the awkward gap between 'data availability' and 'storage costs'. Everyone is competing in the DA layer, and Celestia has driven the prices down, but the DA layer is for short-term validation of on-chain data. What I want to store are hundreds of megabytes of videos, several terabytes of training sets, or even an entire front-end page; at this point, you'll find that there’s almost nothing available on the market.
This is not to say that it is now flawless; on the contrary, the various small issues in the testnet almost made me want to smash my keyboard. However, what I see is not another project trying to cover up technical mediocrity with token incentives, but a genuine attempt to address the awkward gap between 'data availability' and 'storage costs'. Everyone is competing in the DA layer, and Celestia has driven the prices down, but the DA layer is for short-term validation of on-chain data. What I want to store are hundreds of megabytes of videos, several terabytes of training sets, or even an entire front-end page; at this point, you'll find that there’s almost nothing available on the market.
Security issues are always the sword of Damocles hanging over our heads. Although there has not yet been a billion-level super hacker event from 2026 to now, phishing attacks targeting personal wallets have become increasingly sophisticated. Today's hackers use AI to generate extremely realistic project official websites and interactive content, and can even simulate the voices of well-known opinion leaders to commit fraud. Here, I want to particularly remind everyone that any operation that requires your signature, no matter how official the other party appears, should be carefully considered. The current wallet security does not depend on how well you save your private key, but rather on whether you can see through the scams woven by AI. $BTC
The current modular blockchain narrative has elevated the DA layer, but when implemented, you'll find that most DA solutions cannot store large files at all. I've been testing the Walrus SDK these past couple of days, and it feels like the folks at Mysten Labs really understand distributed systems. They do not blindly pursue EVM compatibility as a form of political correctness, but instead tackle unstructured data directly from the underlying data structure. I compared it with IPFS in tests, and under node fluctuations, Walrus's data recovery capability is clearly stronger, thanks to its unique two-dimensional erasure code design.
During the interaction, I also discovered some pain points; the error messages from the CLI tool often leave people scratching their heads. Sometimes, when it's clearly a network timeout, it reports a format error, and I spent a whole night changing code only to realize it was a node synchronization issue. This kind of experience is quite common in early projects, but it can definitely mess with your mindset. However, when you see that massive video file being sliced, distributed, and reassembled in seconds, that technical satisfaction is genuine. It's not just creating a simple decentralized Dropbox; it's providing an external, infinite hard drive for high-throughput L1 public chains. If the mainnet can maintain this impressive speed, those old projects still relying on cumbersome proof mechanisms should really be worried.
@Walrus 🦭/acc $WAL
#Walrus
During the interaction, I also discovered some pain points; the error messages from the CLI tool often leave people scratching their heads. Sometimes, when it's clearly a network timeout, it reports a format error, and I spent a whole night changing code only to realize it was a node synchronization issue. This kind of experience is quite common in early projects, but it can definitely mess with your mindset. However, when you see that massive video file being sliced, distributed, and reassembled in seconds, that technical satisfaction is genuine. It's not just creating a simple decentralized Dropbox; it's providing an external, infinite hard drive for high-throughput L1 public chains. If the mainnet can maintain this impressive speed, those old projects still relying on cumbersome proof mechanisms should really be worried.
@Walrus 🦭/acc $WAL
#Walrus
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