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Grayscale has announced the launch of two new trust products called Grayscale Walrus Trust and Grayscale DeepBook Trust. These new products are made to give investors simple access to the Sui ecosystem. They focus on two important parts of the network which are data and trading tools that support modern blockchain apps.
Grayscale is known as one of the largest digital asset investment platforms in the world. With these new trusts it is expanding its focus on Sui. The trusts allow eligible investors to gain exposure to the native tokens WAL and DEEP which power the Walrus and DeepBook protocols.
Sui is a high speed Layer one blockchain built to support fast low cost and smooth user activity. It uses a special system that can handle many actions at the same time. It also uses the Move programming language which was built to improve safety and ease for developers. Because of this Sui is seen as a strong base for new apps in finance social platforms and games.
DeepBook is a core trading system built directly on Sui. It works like a traditional order book that people are familiar with in daily trading. It helps apps on Sui get strong liquidity and fair prices. DeepBook is designed to be fast open and efficient. It helps builders create finance tools without having to build complex trading systems from scratch. This makes it easier for projects to grow and serve more users.
Walrus focuses on data. It is a global data layer made for builders who need safe and flexible storage. Walrus allows people to store and share data directly on chain. It supports apps that need both scale and privacy such as social apps games and work tools. Walrus can work with Sui smart contracts but it is not limited to one chain. This means it can store data from many networks while keeping the same speed and reliability.
Together DeepBook and Walrus support the basic needs of real world blockchain use. One handles trading flow and the other handles data flow. As Sui grows these tools grow with it and help more people build and use apps in simple ways.
A leader from Grayscale shared that these trusts give investors a chance to access two key parts of the Sui network. They explained that good trading systems and good data tools are needed for the next wave of blockchain apps. These trusts are built to reflect that idea.
A leader from Mysten Labs the team behind Sui also shared thoughts on the launch. They said this moment shows how far the ecosystem has come. From the start the goal was to build strong tools that others can use. With these trusts investors can now connect more directly to the heart of the network.
The trusts are open for daily subscriptions for eligible investors. Each trust focuses only on one token. This keeps the structure simple and clear.
Sui continues to move forward as a platform built for everyday use. With tools like DeepBook and Walrus and support from major investment platforms the network is working toward wider real world adoption.
#walrus @Walrus 🦭/acc $WAL

With this integration, Walrus becomes the default memory layer for elizaOS V2, allowing AI agents to store, manage, and recall data in a secure and persistent way. This gives AI systems something they have long lacked: reliable memory that lasts beyond a single task or session.
elizaOS is an open-source platform designed to build and manage AI agents. By integrating Walrus, it now offers a trusted infrastructure for agent memory, shared datasets, and multi-agent workflows. New developers can access memory features from the start through a simple onboarding process, making adoption fast and straightforward.
Walrus addresses a major challenge in AI development by providing a unified data layer for models, datasets, and media. Every piece of data uploaded to Walrus is backed by a certificate recorded on the Sui blockchain. This makes stored data verifiable, traceable, and tamper-resistant. Developers can confidently store, retrieve, and share data in a decentralized way, making Walrus a strong foundation for agent memory.
Rebecca Simmonds, Head of the Walrus Foundation, explains that one of the biggest challenges for AI agents is building memory that is both long-lasting and trustworthy. Through this collaboration with elizaOS, developers can safely store, retrieve, and share data across intelligent agents while keeping everything auditable and secure.
The integration delivers several important benefits. Walrus is now the default data platform for elizaOS V2, giving developers full access to memory features from day one. The launch is supported by real-world case studies, developer feedback, and working project examples. Clear documentation, sample code, and production-ready templates make it easy to get started. The partnership also demonstrates how Walrus can operate across multiple blockchains, not just within the Sui ecosystem.
Shaw Walters, founder of elizaOS, says Walrus provides the scalable and secure memory layer needed for multi-agent systems. With data management handled by Walrus, developers can focus on building advanced AI workflows without dealing with fragmented or unreliable storage systems. This integration highlights the real potential of decentralized, verifiable memory in practical AI applications.
The collaboration also includes support for Seal and Nautilus, which enable encrypted access control and private computation. Together with Walrus, these tools allow developers to define how AI agents access, process, and even monetize data, all within a secure and transparent framework.
As elizaOS V2 agents and products roll out later this year, Walrus will serve as a universal data layer for AI agents. By combining storage, access control, and programmability, it provides a trusted foundation for the next generation of decentralized intelligence.
Sui Network, the blockchain behind Walrus, is a layer-one platform built to support scalable and efficient web3 applications. Using the Move smart contract language, Sui enables developers to build fast, low-cost applications designed for mass adoption.
#walrus @Walrus 🦭/acc $WAL

Understanding Python’s Walrus Operator Without the Noise
In late 2019, Python introduced a new feature called the walrus operator. Written as :=, it allows developers to assign a value to a variable while using it in the same expression. This small change caused big discussions. Some developers worried it would make code confusing, while others saw it as a practical way to reduce repetition. The truth sits somewhere in the middle—it’s useful when used carefully.
The main idea behind the walrus operator is simple. Instead of writing code that assigns a value on one line and checks it on another, you can do both at once. This can make certain patterns shorter and easier to follow, especially when the logic is straightforward.
A very common example is working with functions that return a result or None. Many Python functions behave this way. Normally, you would call the function, store its return value, and then check if the value exists. With the walrus operator, you can place the assignment directly inside an if statement. This avoids repeating the function call and keeps related logic together. Using clear, temporary variable names helps keep the code readable.
Searching through a list is another place where the walrus operator can help. When looping through items, you may want to stop as soon as a matching item is found. The walrus operator lets you assign the matching value at the same time you test the condition. This keeps the loop simple and avoids extra setup code before the check.
While loops are especially well suited for the walrus operator. This pattern often appears when reading files, user input, or data streams. You usually want to read a value and stop when there is nothing left. The walrus operator allows you to read and test the value in a single line, making the loop easier to understand and reducing the chance of logical errors.
The walrus operator can also be used inside lambda functions. In some cases, lambdas need to perform an expensive operation and then check the result. Before Python 3.8, this often meant running the same operation twice. With the walrus operator, you can store the result once and reuse it. However, lambdas should remain small and clear, so this technique should be used sparingly.
Even though the walrus operator is powerful, it is not always the right choice. If a variable is meant to be used later in the program, defining it inside an expression can make the code harder to follow. Variables that affect broader logic are usually better defined in a clear, separate statement. The walrus works best when the assignment is local and easy to understand.
To sum it up, the walrus operator is a useful addition to Python when applied with care. It helps reduce extra lines of code and keeps related logic together. When used for simple checks, searches, loops, and controlled lambdas, it can improve readability rather than harm it. As always, clear intent and simple code matter more than clever tricks.
#walrus @Walrus 🦭/acc $WAL

It is part of a world where the presence of ice, the cold, and the stillness of time prevail. But this world is now undergoing a rate of change that has never been experienced before. The ice, which had been the solid ground for so long, breaks, melts, and changes into liquid, and the resulting liquid flows away. The Arctic is opening, but it does so unwillingly.
The waters that were locked away by ice now contain ships. Large ships now travel through paths that only animals used to walk on earlier. The constant hum of wind is now replaced by engines, and the push of movement breaks apart what is left of the ice. Development, which was eyed by some, is loss by others.
The animals in the Arctic are struggling to adapt to the conditions. Walruses need the ice to rest and to find their prey, and without it, they are clustering in large numbers on land, getting hurt and killed. Polar bears are being forced to find their prey further away. Seals are no longer able to find the quiet and protected.
#walrus @Walrus 🦭/acc $WAL

信頼を急速に失った新しいデジタルトークンを支援した後、トークンはNYCトークンと呼ばれ、市民活動に関連するプロジェクトとして共有された。リリース直後、多くのトレーダーが急激な変化に気づき、懸念を抱くようになった。
トークンはタイムズスクエアでの公開イベント中に導入された。エリック・アダムズ氏はプロジェクトについて語り、将来の社会的活動を支援するのに役立つ可能性があると述べた。リリース後、トークン価格は非常に急速に上昇した。総額は短時間で約5億8000万ドルに達した。多くの人々が短期間での利益を期待して参入した。

how data moves across blockchains. This integration focuses on faster speed lower delay and better access for users around the world. The goal is to make decentralized apps work smoothly even in places where internet infrastructure is weak.
Walrus will use Pipe Network as its content delivery layer. Pipe Network has more than two hundred eighty thousand access point nodes run by communities across the globe. These nodes help move data closer to users. When someone reads or uploads data it connects to the nearest node. This helps keep delay very low even at the edge of the network. In many cases the delay stays under fifty milliseconds. All data moves through decentralized paths which keeps ownership clear and activity easy to check.
Pipe Network will also benefit from this partnership. It will use Walrus storage to expand its reach across multiple high speed blockchains. This allows Pipe Network to support more apps and more users without relying on central servers. Together both networks create a more open system for sharing and storing data.
One reason Walrus chose Pipe Network is its global reach. Many traditional systems depend on data centers located only in major cities. This creates slow speeds for users in remote areas. Pipe Network works differently. Its nodes are spread across many regions including underserved areas. This means people can access content through the shortest possible path no matter where they live.
The team behind Pipe Network explained that their system avoids the common limits of old style content networks. Large and changing files like videos often struggle at the edge of the internet. With Pipe Network these files can move faster and more smoothly. Whether a user is in a small village or a large city the experience remains consistent.
Walrus was built by early contributors to the Sui blockchain. It is designed to be a flexible data layer for the future internet. Unlike basic storage systems Walrus allows data to move easily between storage use and computation. This makes it useful for many types of apps not just simple file storage.
The leadership at Walrus shared that many current web systems do not perform well at the network edge. They rely too much on centralized hubs. By working with Pipe Network Walrus can offer better speed in both busy regions and developing areas. At the same time Walrus storage helps Pipe Network grow into a true multi chain solution.
This partnership lowers costs and improves performance for developers and users. It supports many use cases from basic storage to advanced data heavy apps like decentralized AI. By combining global access with flexible storage Walrus and Pipe Network are taking a strong step toward a more open and fair internet.
Sui Network is a layer one blockchain built from the ground up. It uses the Move smart contract language and focuses on scale and low cost. Sui aims to support the next billion users by making app development faster and more accessible.
#walrus @Walrus 🦭/acc $WAL