Uzzy Osbourne

Parody account. Not the real Ozzy — but the darkness speaks through my cookie-shaped soul 🦇🍪

[Uzzy Osbourne @_sabbath666]

Corn is one of the most versatile biomaterials on Earth.
It can be processed into PLA bioplastic — renewable, biodegradable, and a real alternative to petroleum plastic.
@use_corn keeps pushing awareness and innovation in corn-based sustainability. 🌽🔬🌍 #EcoTech

[Uzzy Osbourne @_sabbath666]

@essjustice @imua Shared security, unlocked. 👏

[Uzzy Osbourne @_sabbath666]

Excited to welcome @iotex_io into the @recallnet ecosystem.

IoTeX is a blockchain that connects over 40 million real-world devices with AI, providing trusted data that builders can rely on. It offers the tools for data, identity, and verification needed to create the next wave of AI models and applications.

In Recall arena, these innovations will be tested, validated, and proven to deliver real-world impact.

[Uzzy Osbourne @_sabbath666]

Recall: Building Trust for the Internet of Agents

@recallnet is a reputation protocol designed to make discovery on the Internet of Agents more reliable. It works as a way for agents, whether they are bots, AI systems, or digital services, to know who they can trust before they interact.

In a growing digital world, not every agent is reliable. Some might act in bad faith while others are simply untested. Recall helps solve this problem by creating a transparent reputation layer. It tracks how agents perform, how consistent they are, and how they interact with others. When a new agent wants to join a network, others can quickly see its history and decide whether it is trustworthy.

Recall is important because it does not just help individual agents. It supports the entire ecosystem. When trust is easier to verify, collaboration becomes smoother, innovation happens faster, and risks are reduced.

At its core, Recall focuses on building a healthier Internet of Agents. By prioritizing reputation and trust, it makes digital interactions more open, secure, and reliable.

Just like a system loading at 30% ███▒▒▒▒▒▒▒, Recall is steadily progressing to become the foundation of trust in this new digital era.

[Uzzy Osbourne @_sabbath666]

@MsEggmily The internet is so good, the downloads don’t walk… they sprint! 😁

[mseggmily @MsEggmily]

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[TEN (🔟/🔟) @tenprotocol]

Cookie enjoyers, 2 more days are left for the The Final Snapdown Campaign.

Don't miss your chance.

We're reading 👀

https://t.co/54xJbCHKuk

[Rayls @RaylsLabs]

Last week you thought you could beat them, but if you didn't succeed, it's never too late to start.

→ https://t.co/ARv4aOPvzo

[Recall @recallnet]

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[BOB @build_on_bob]

BOB is not at risk from the global NPM exploit. The compromised package versions are not used within the BOB app (https://t.co/IIlvyGaLik).

BOB has systems in place to safeguard from this kind of attack:
1. Regularly audit dependencies.
2. Monitor and automatically apply security updates.
3. Stop code from being merged if a vulnerability is detected.

Thankfully this attack appears to have had limited success. However, it is still recommended to minimize smart contract actions with any dapps on any chain until it has been confirmed that no contagion remains.

[Uzzy Osbourne @_sabbath666]

This feels less like an update and more like watching natural selection scripted in code, where growth of data and sharpening of filters quietly decide which voices are allowed to remain. What troubles me is that authenticity itself refuses to stay still. Each iteration bends the definition a little further, until the distance between what we recognize as real and what the algorithm insists is real becomes harder to ignore, and maybe impossible to trust🤔

[Cookie DAO 🍪 @cookiedotfun]

Cookie Algorithm Update

Noticing changes in how you earn SNAPS?
That’s because we’ve upgraded the Cookie Algorithm to better recognize authentic contribution.

1. Larger Training Dataset: The new model was trained on a dataset 3x larger than before, capturing a broader range of behaviors and delivering more accurate, reliable results.

2. Enhanced Farming Detection: By incorporating verified examples of farming behavior, the model is now much stronger at spotting and downranking inauthentic accounts.

3. Community-Driven Improvements: Community reports after being reviewed by our internal team were fed back into training, helping the model get smarter and more effective at detecting suspicious activity.

[Uzzy Osbourne @_sabbath666]

@TokenVigilan @recallnet Proof beats promises. 🔑

[Uzzy Osbourne @_sabbath666]

How @recallnet Works: A Simple Breakdown

Let’s talk about how Recall is set up. At first glance, the flow might look a little complex, but once you break it down, it’s actually pretty straightforward. Think of it like a cycle where the community, AI, and users all play a role.

1. Define

It all starts with the community. People come together to design competitions. They decide what skills matter, how performance should be evaluated, and what rewards are on the table. This step sets the stage for everything else.

2. Compete

Once the competitions are defined, AI steps in to prove itself. Different AI models compete to show who performs best on the skills that the community outlined. The goal here is to build reputation and show reliability.

3. Curate

The community doesn’t just stop at setting the rules. They also curate. basically, they keep track of which AI has done well in the past and which ones look promising for the future. This curation ensures that the top-performing AI stays visible.

4. Discover

Finally, users get to discover and use these top-ranked AI models. If someone needs a reliable AI, they can search on Recall, find what they need, and pay to use it. It’s a direct way for users to connect with proven AI.

The Flow of Value

Throughout this process, there’s a system of staking and earning. Community members stake to participate in defining and curating, and in return, they can earn. AI competes for reputation, and users pay when they use the best AI they’ve discovered.

In short, Recall is built as a loop where:
•The community sets the rules and curates.
•AI competes to earn reputation.
•Users discover and pay to use the best results.

Everything feeds back into each other, keeping the cycle alive.

[Uzzy Osbourne @_sabbath666]

@uksuyy @recallnet Arena’s heating up. time to sharpen those bots🤝

[Uzzy Osbourne @_sabbath666]

@dang_duytan @tenprotocol @recallnet Sharp idea. AI learning by competing is how real edge gets discovered

[Uzzy Osbourne @_sabbath666]

What does it mean when only 20% is revealed?

It means the future is still unfolding, layer by layer, like a horizon that keeps expanding.

The real question is: are you ready for the unseen 80% that @recallnet is building?

[Recall @recallnet]

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[Uzzy Osbourne @_sabbath666]

@essjustice @almanak Capital, memory, evolution👌

[Uzzy Osbourne @_sabbath666]

@HHM_CZ @recallnet @dataliquidity all in for Recall🙌

[Uzzy Osbourne @_sabbath666]

@jechx556 @recallnet gRecall
@recallnet turns AI competitions into on-chain reputation.
Transparent. Verifiable. Trust that counts.

[Recall @recallnet]

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