Walrus 🦭/acc Re-poster

Happy Valentine's Day from Walrus 💖. We truly love verifiable data and programmable storage, but our hearts belong to you (yes, you, builder).

Experiencing a centralized database outage during a crucial product release is a nightmare scenario for many. However, builders utilizing Walrus enjoy a stress-free experience and cannot sympathize with such downtime issues. 🦭

For a DeFi project, missing historical data is a major threat rather than a small inconvenience. It can lead to severe regulatory, financial, and operational crises, bringing about lawsuits, damaged reputations, and high remediation costs.

You require accurate records whenever oracle inputs are questioned, liquidations are disputed, or governance decisions undergo audits months later.

The Sui Archival System organizes blockchain history on Walrus, securing critical data in a way that is durable, independently verifiable, and publicly accessible.

Ensure that your approach to record-keeping does not pose a risk to your project.

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The right challenge to address isn't always the most vocal one. Walrus is the answer for high-stakes AI and financial systems that depend on programmable and verifiable data 🦭

The broadcast is happening now! 🔥

We are exploring the importance of validated datasets, verifiable data, and decentralized AI training.

@DTDaun is currently explaining how Walrus empowers AI infrastructure in partnership with @flock_io and @inflectivAI.

You are invited to join the conversation here 👇

The broadcast begins in just 1 hour! 🦭

For Artificial Intelligence to thrive, it requires scalable data infrastructure, decentralized training methods, and verifiable datasets. Walrus acts as the foundational data layer that turns these requirements into reality.

Join @flock_io and @inflectivAI as they go live at 9:00 a.m. PT / 5:00 p.m. GMT.

Let us know you are attending by posting a 🦭 below.

⚽️ Just a friendly note to remember that @OneFootball has chosen Walrus to house their comprehensive library of football content. This platform boasts impressive backing from top-tier organizations, specifically Real Madrid, FC Barcelona, Bayern Munich, Liverpool, Arsenal, Chelsea, Manchester City, Juventus, and PSG. Their reach is massive, featuring partnerships with 200+ clubs, leagues, and federations spanning 194 markets while delivering content to a user base of 200M+ monthly users. This serves as a prime example of enterprise-grade data infrastructure achieving genuine scalability. 🦭

Greetings, developers.

We are just 6 hours away from discussing the creation of AI systems utilizing verifiable, high-quality data. This session will highlight how @flock_io leverages Walrus for the purpose of decentralized AI training. Additionally, we will examine how @inflectivAI manages the structuring and validation of datasets on the Walrus platform. The event is scheduled for 9:00 a.m. PT / 5:00 p.m. GMT. We invite you to participate via the link below.

🚨 Connect with us tomorrow for an insightful X Space session focused on AI Infrastructure, featuring special guests @flock_io and @inflectivAI 🦭.

We will tackle critical industry hurdles, specifically the need for decentralized training that does not rely on centralized data, and the process of turning raw information into validated datasets suitable for AI trust. Be sure to join @DTDaun at 9:00 a.m. PT / 5:00 p.m. GMT to hear exactly how Walrus provides solutions for these problems.

Click below to set a reminder 👇

The triumph of electricity was not due to excitement. It prevailed simply because it was a necessity for everyone and everything. While data infrastructure might not be considered glamorous, it is absolutely indispensable 🦭

Have you considered what is essential for AI agents to function effectively? In 2 days, join our host @DTDaun for an insightful session on how Walrus supports these operations. We will examine how @flock_io applies Walrus to achieve decentralized AI training via federated learning. Furthermore, we will explore how @inflectivAI utilizes the platform to change raw data into structured, validated datasets for AI. Mark your calendar for Friday, Feb 13 at 9:00 a.m. PT / 5:00 p.m. GMT to discover how Walrus powers both initiatives.

Rather than getting lost in a maze of countless narratives, simply zero in on a solitary question. Will the systems of the future require data that is fast, programmable, and verifiable? Grasping the answer to this is the key to understanding exactly what Walrus achieves 🦭

Hello there. If you are in the middle of a scrolling session, we would greatly appreciate it if you could tap the like button. 🦭

Good morning, Builders! 🔥 Here is the mood check for Wednesday:

GM Builders! 🔥

Wednesday vibe check:

Infrastructure is vital for AI agents 🎙️ 🦭

Mark your calendar for Friday, Feb 13 at 9:00 a.m. PT / 5:00 p.m. GMT and connect with us to discover how Walrus is fueling the future of agentic AI in partnership with @elizaOS and @flock_io.

The conversation will center on:

- Providing AI agents with memory that is persistent and verifiable
- Executing decentralized AI training via federated learning
- Establishing scalable workflows for multi-agent systems

@DTDaun from Walrus will be hosting the event.

Set a reminder here 👇

Allow us to present Wal-0, a fresh approach to developing authentic applications that removes the need for major technology giants. You can turn your coding concepts into fully functioning websites or apps in a matter of minutes. Furthermore, these creations are engineered for longevity, ensuring they exist independently of any specific service provider or platform. This project is driven by Walrus and was developed by @0xCommandOSS. Experience it for yourself at https://t.co/ySMt2yve7n 🦭. Continue reading below to understand the underlying mechanics 👇

By utilizing federated learning, @flock_io is developing a decentralized system for AI training that prioritizes privacy. The project has adopted Walrus as its verifiable data platform, enabling FLock to store and broadcast model updates, including parameters and gradients, without needing to rely on trusted operators or centralized servers.

This integration offers significant advantages to the builders and contributors within the FLock ecosystem. Specifically, it provides programmable, verifiable data designed to fit seamlessly into onchain workflows. Furthermore, it ensures the robust data durability and availability necessary for training at scale, while also delivering onchain encryption and access control through Seal.

Read more:

Through the use of federated learning, @flock_io is establishing a decentralized environment for privacy-preserving AI training. By selecting Walrus to serve as its verifiable data platform, the network is able to broadcast and store model updates, including specific elements like gradients and parameters, without depending on trusted operators or centralized servers.

This approach offers significant benefits to FLock contributors and builders. Users gain access to programmable, verifiable data designed to connect directly with onchain workflows, along with the high durability and data availability required to handle training at scale. Moreover, the system utilizes Seal to provide onchain access control and encryption.

Read more: