Walrus 🦭/acc Re-poster

The demonstration of AI agents by OpenClaw sparked a wave of enthusiasm across the community. It is easy to see the appeal of a system that operates continuously to oversee liquidations, manage your open positions, and carry out trading strategies completely autonomously. 👀

However, the capabilities of an agent are fundamentally tied to the quality of the information it processes. If the inputs are flawed, the resulting decisions will be equally incorrect. These automated systems do not pause to reflect on the validity of the numbers; they simply execute the code.

They will take action with absolute certainty, even when wrong.

In the world of DeFi, data is the starting point, and its accuracy is paramount. Ensure your foundations are built on information you can rely on 🦭

Find out more 👇

Artificial Intelligence poses a risk rather than a benefit when it lacks accountability. Walrus solves this by establishing verifiability for the datasets that power your models. This allows you to certify the origin of your information and ensure that it remains free from any interference or alteration 🦭

Browsing through X these days feels like wading through an endless stream of artificial intelligence content. You encounter everything from fresh AI agent frameworks and vibecoding utilities to applications constructed in under 20 minutes without a single line of human-written code. Furthermore, there are constant headlines warning that whole career fields could vanish within the next few years.

Artificial intelligence is accelerating rapidly and shows no signs of waiting for anyone to catch up. However, there is a critical issue that rarely receives enough attention. The effectiveness of these autonomous systems and agents depends entirely on the quality of the data supporting them. Currently, the vast majority of that information resides on centralized servers that lack any form of verification.

There is simply no evidence to confirm the data is accurate, no guarantee that it has remained unaltered, and no assurance that it will still be accessible tomorrow.

The scale of AI is expanding faster than the infrastructure designed to support it. When the data layer compromises, the agents inevitably fail as well. This is particularly concerning now that these systems are responsible for executing actual decisions and managing real money.

To succeed, this new era requires a data foundation that offers genuine trust. Walrus provides exactly that layer.

Can you truly visualize the scale of 409 TB of data? Please submit your best guess in the comments without consulting a search engine first.

Which of the following comparisons is accurate?

A. Approximately 200,000 HD movies
B. A volume larger than the complete libraries stored by most streaming platforms
C. The entire collection of every song ever released on Spotify
D. A duration of 5.7 years of nonstop HD video

I gave my digital assets the option to reside wherever they pleased. They ultimately selected Walrus. Clearly, this information is quite intelligent 🦭

Envision the landscape of 2030, where autonomous AI agents control assets worth billions of dollars. A significant issue arises when an agent completes a poor transaction after relying on manipulated training materials. The problem is compounded because the lack of verifiable data makes it impossible to demonstrate exactly what occurred. We are dedicated to averting this specific future. We are happy to be of service.

A fresh set of Walrus stickers has officially arrived on Telegram 🦭. If your group conversations felt incomplete, the missing element was certainly Walrus. You can correct this right now below 👇

Even while you are unconscious at 3AM, your AI agent remains active. It is busy managing your DeFi positions or booking your flight ticket the moment it falls below a specific price threshold. Yet, one must ask where this data originates. Currently, the majority of vault strategies and execution records are still stored on centralized servers. There is no evidence to confirm that these files are up to date or that they have not been altered. Your agent does not challenge any of these factors; it simply acts. If you would not rely on a human utilizing unverified data, why would you offer that trust to an agent? 🦭

While you operate on a decentralized protocol, the infrastructure holding your information remains centralized. Unfortunately, a solitary service failure or removal action is enough to take your platform offline. Let us start a conversation 🦭

Our broadcast is officially live. Join the conversation with @Talus_Labs, @MyriadMarkets, and @ZarkLab as we cover AI agents, prediction markets, and the Verifiable Data Platform powering all three. You can tune in via the link below.

We are launching the broadcast in just one hour.

Our session features @Talus_Labs, @MyriadMarkets, and @ZarkLab, who will help us analyze several pressing questions. We plan to examine how prediction markets substantiate their results, the ways AI agents establish trust in data, and the methods for making uploaded information instantly searchable and ready for AI integration.

The event is scheduled for 9:00 a.m. PST / 5:00 p.m. GMT.

Please post a 🦭 if you plan to attend.

Today, Amazon faced an outage that left 20,000 people unable to complete their shopping. If you apply that same situation to a DeFi app frontend during a period of market turbulence, the result is users losing access to their money. To combat this exact issue, Walrus Sites has deployed multi-RPC fallback and multi-aggregator support. Make sure you build your platform on infrastructure that ensures there is no single point of failure.

The voice of our community has been heard 😎. We invite you to explore the newly launched http://walrus.xyz.

The community has spoken 😎

Have you seen the new http://walrus.xyz yet?

We see the tusked photos in the comments but not enough on the timeline 👀

Update that PFP and march with us 🦭

Join us tomorrow for a live broadcast featuring @Talus_Labs, @MyriadMarkets, and @ZarkLab. This event is scheduled for Friday, March 6 at 9:00 a.m. PST / 5:00 p.m. GMT.

During the session, we will explore how each partner integrates with our technology. @Talus_Labs is creating the infrastructure for autonomous AI agents, relying on Walrus as its Verifiable Data Platform. We also feature @MyriadMarkets, which boasts 500K+ users and $150M+ in volume, with every market now fully verifiable on Walrus. Rounding out the group is @ZarkLab, which serves as the AI intelligence layer for Walrus. By automatically enriching and structuring every file, it makes data searchable the instant it is uploaded, acting like a personal Google Search for everything stored on Walrus.

Please see the link below to participate.

The ecosystem of decentralized finance begins with data. Walrus guarantees that your DeFi records—ranging from settlement data and oracle inputs to governance artifacts—are kept inspectable, durable, and resilient. We encourage you to build on data you can trust.

Discover more at:
https://walrus.xyz/use-case/defi

With almost one year of verifiable data collected, we are simply warming up. 🦭 To commemorate this, we introduced Tusk Crasher, allowing our community to insert the walrus into any picture and prove to the world that data matters. Upload your profile photo to obtain a tusked version and march with us. 😎

It appears that someone is currently seeking your notice. Please feel free to offer a friendly greeting 🦭👋

The significance of data cannot be ignored. Three innovative projects—one designing autonomous AI agents, another driving onchain prediction markets, and a third that immediately processes uploads into structured, searchable, and AI-ready data—have all selected Walrus as their Verifiable Data Platform.

While their specific products differ, they share a critical requirement. If you are unable to verify and track the accuracy of the information determining your outcomes, you are accepting a significant risk.

Join @Talus_Labs, @MyriadMarkets, and @ZarkLab in collaboration with Walrus.

Be there this Friday at 9:00 am PST.