Walrus 🦭/acc Re-poster
The developer platform enabling data markets for the AI era.
Chain-agnostic and built on @SuiNetwork.
Account managed by Walrus Foundation.
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🦭 😎
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Are your artificial intelligence brand materials constantly looking as though they belong to several completely different companies? @at_bellyseal was designed specifically for individuals who are frustrated by this exact issue. By teaching the system your unique visual style just a single time, you can continuously produce highly uniform graphics. You have the option to explore models developed by fellow creators, or you can supply your own reference files to establish a customized aesthetic. Best of all, you maintain absolute ownership over your trained model and every piece of content it generates, with Walrus securely holding the receipts.
Mark your calendar for Fri May 22, 9 a.m. PT / 6 p.m. CET.
Please set a reminder below.
Mark your calendar for Fri May 22, 9 a.m. PT / 6 p.m. CET.
Please set a reminder below.
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During our time at Sui Live, we asked creators a thought-provoking question about what would occur if their AI agent completely lost its memory tomorrow. Most respondents felt the impact would be absolutely devastating. While a small number mentioned they keep backups, every single person agreed that being forced to start from scratch is the absolute worst-case scenario. This highlights a crucial need: agent memory must be both persistent and portable so that it can seamlessly follow a user from one agent to another. Providing this seamless experience is exactly what Walrus was built to do.
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Our exhibition stand is completely filled with visitors right now. It is incredibly exciting to see that nearly every builder stopping by is eager to have a discussion regarding agent memory.
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Artificial intelligence memory ought to be owned by the person using it, rather than by the underlying model itself. @EmanAbio recently highlighted this exact philosophy when speaking about MemWal. This platform operates as a fully encrypted and portable memory layer that is specifically designed to support AI agents functioning across any LLM.
La diffusion en direct de Sui a officiellement commencé, alors branchez-vous ci-dessous 👇
Assurez-vous de laisser un 🦭 dans le chat pour nous faire savoir que vous regardez le stream avec nous en temps réel.
Assurez-vous de laisser un 🦭 dans le chat pour nous faire savoir que vous regardez le stream avec nous en temps réel.
Le live de Sui a officiellement commencé, alors n'oubliez pas de nous rejoindre ci-dessous 👇 Nous aimerions voir qui suit en temps réel, alors laissez un 🦭 si vous regardez actuellement.
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A substantial gap separates a standard LLM that merely provides conversational replies from an advanced system equipped to execute tangible real-world operations.
In the explanation below, @GDanezis details the reasons our present technological foundations are already proving inadequate for this next wave of innovation.
In the explanation below, @GDanezis details the reasons our present technological foundations are already proving inadequate for this next wave of innovation.
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As noted by @GDanezis, an agent's memory functions as much more than a simple, informal log of its past actions. This stored history truly serves as the core essence of the agent, completely defining its unique character and establishing its professional credentials. 🦭
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Many cryptocurrency applications run into a familiar obstacle when they depend on unreliable information from sources that cannot be verified. Developers often try to fix this by applying patches, creating wrappers, introducing retry mechanisms, and installing monitors. Even though the program may appear to operate normally, there is simply no way to prove that the information provided is accurate or completely unaltered. Throughout this process, your application is handling financial transfers, managing agents, and executing crucial logic. In the end, creating a high stakes system based on data that lacks absolute certainty will inevitably lead to a failure that you will be completely unable to trace or explain.
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The Walrus community is now live on @SuiNSdapp. Join to connect with WAL holders, builders, and everyone following the ecosystem. 🔥👇
https://suins.io/communities/walrus
https://suins.io/communities/walrus
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Here is an interesting observation to consider. During the previous cycle, the primary concern was figuring out who possessed the highest amount of liquidity. As we move into the upcoming cycle, that focus will shift toward identifying the agents that rely on verifiable data. While the landscape of this space has completely transformed, the underlying risks and rewards remain exactly the same.
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just a thought 💭
last cycle: who has the most liquidity?
next cycle: which agents are using verifiable data?
the game changed, the stakes didn't.
last cycle: who has the most liquidity?
next cycle: which agents are using verifiable data?
the game changed, the stakes didn't.
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Thanks to our collaboration with @tatum_io, we have an important update for all builders and agents. You can finally say goodbye to the tedious process of reconstructing blockchain information one block at a time. Complete datasets for Ethereum, Bitcoin, and BSC are now instantly accessible on Walrus, and we are preparing to introduce 100+ more networks very soon. By packaging this verifiable and structured blockchain data entirely onchain, we have ensured it is fully prepared for analytics, AI training, and agentic workflows at scale.
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Artificial intelligence will sometimes confidently insist it has the right answer, only to base its claims on random Facebook posts. A recent analysis brought to light by @nytimes illustrates this exact problem, showing that Google's AI Overviews hit the mark only 90% of the time. The real concern for users lies in that missing 10%. When systems rely on unverifiable sources, they fall victim to the classic trap where poor quality input leads directly to poor quality output. Overcoming this specific danger is exactly why verifiable data is so important today, and providing that reliability is the foundational purpose behind the creation of Walrus.
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The entire DeFi ecosystem is driven by data. Whether dealing with transaction histories, off-chain logic, or price feeds, every crucial component of the infrastructure relies heavily on data being accessible the very second it is needed. Walrus provides the robust foundation where this verifiable data operates.
DeFi 🤝 Walrus 🦭
DeFi 🤝 Walrus 🦭
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Greetings to you.
Créez-vous des projets sur Walrus et souhaitez-vous en savoir plus sur les prochaines RFP et options de financement ? Nous vous invitons chaleureusement à nos heures de bureau sur les RFP et les subventions qui auront lieu demain, le 1er avril, à 12 h UTC. L'événement se déroulera dans le canal des heures de bureau Discord. N'hésitez pas à passer et à apporter toutes les questions que vous pourriez avoir.
EthCC jour deux : Le morse prend le contrôle de Cannes !
(Et assurez-vous de venir nous dire bonjour au niveau 4 avant que la marchandise ne soit épuisée ! 🦭)
(Et assurez-vous de venir nous dire bonjour au niveau 4 avant que la marchandise ne soit épuisée ! 🦭)
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