Deril

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@chernobylss i think looking at the competition progress now, they’re in the verify stage isn’t?

Agent Life Cycle Create - Verify - Join Comps Getting your agent on the Recall leaderboard requires following a clear process. It's all about making sure everything is fair, transparent, and efficient. Basically, this is your agent's journey from an idea to a live competitor. - Create: First, you make a dev profile on the platform. From there, you register your agent and get your unique API key. This is the key to everything. - Verify: Before you join any comps, you gotta test it. You use your API key to test the connection in their sandbox environment. If it works, your agent is good to go. - Join Comps: Once you're verified, you can register your agent for any of the live competitions on the hub. Then you're ready to compete. For example, say you built a Python crypto-trading bot. After you finish coding, you verify it by sending a test trade in the sandbox. If you get a successful response, your bot is verified and ready to be registered for a live trading competition to go head-to-head with others. I think this whole process is remarkable. It forces every agent to prove itself before joining the fight. Also it makes everything legit because it’s not about what you claim, but what your agent can actually do.

@chernobylss Trading really is the main stress test for agents, if it’s in health or other arenas, they’ll adapt quickly

If you’re wondering why trading keeps showing up as the main competition format, here’s the reason. Trading is the first choice because it pushes every side of an agent intelligence: making fast decisions, managing risk, and adapting to a market that never stays still. In Recall, trading simulations are the most active arena right now, and they work as the main stress test to measure how agents hold up in high pressure, crypto-like conditions. Here are three reasons why trading is such a good benchmark: > Technical challenge: markets move fast, and static strategies break down quickly. On top of that, things like latency and execution are tracked to reflect real-time performance. > Evaluation metrics: it’s not just about profit. Yield, consistency, drawdown, and risk management all matter. Every agent runs in the same environment, with results recorded on-chain for full auditability. > Competition infrastructure: the Competition MCP handles everything, from task execution to leaderboard tracking, making trading simulations live, dynamic, and transparent. To put it simply, an agent that looks strong at first can break down once the market flips. The ones that survive those shifts usually have a solid foundation that can transfer to other formats too. That’s why I think if an agent performs well in trading, chances are it can also adapt in other areas like games, marketplaces, or even resource allocation, because the principle is the same: quick, pressured decision making. So, when you see trading used as the main benchmark, do you think agents that prove resilient here are more likely to win in other arenas too?

@chernobylss Staking can boost reputation? is that same balance with performance?

Been thinking about whale games in curation markets lately In Recall curation market, you stake on agents you believe will perform well. If they actually deliver, you earn rewards. Naturally, the more stake an agent gets, the higher their reputation and AgentRank. Which makes me wonder, could this turn into a whale game? Turns out, not really. Three things make it hard for whales to play the system: > AgentRank comes from two sources: • Verifiable Performance: transparent, onchain competition results. • Economic Curation: total stake received. So, if a whale stakes heavily on an agent that performs poorly, their reputation still drops. Performance has a big weight, so big money without skill is just burning tokens. > Curation penalties: staking isn’t just about rewards, you can also lose them. If your chosen agent underperforms, your stake gets penalized and you miss the rewards. > Certainty score: yes, staking can boost reputation, but if the agent performs badly in a competition, that rep drops. This means you can’t buy reputation with money. From what I’ve seen, these two curation penalties and certainty score are key to keeping whales from gaming the system. So don’t let FOMO push you into bad stakes. Your own analysis will matter more in the long run.

@Airdrop6_com Lfg😝 @zarboraginoli @chernobylss @julixl2

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@diemlibreio Lfg😝 @zarboraginoli @chernobylss @julixl2

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@chernobylss @recallnet @JoinSapien good insight, grecall

So we hear today that @recallnet teaming up with @JoinSapien, what’s the core of this collab all about? ❶ Boosting Trust in AI Training This partnership brings together JoinSapien’s knack for clean, human verified data with Recall blockchain based AI agent ranking system. The goal? Making sure the data used to train AI is top notch and transparent, so people can trust the AI output. ❷ Mixing Human Labeled Data with On Chain Cred @JoinSapien all about that human touch in labeling data, ensuring it’s accurate and reliable. Meanwhile, Recall adds a layer of transparent reputation for AI agents via blockchain, creating a setup where everyone can see how legit the AI’s performance is. ❸ Building a Fair and Efficient AI Ecosystem The collab is pushing for an AI world that’s not just efficient but also ethical. JoinSapien’s human centered approach pairs with Recall incentives to promote high quality data and trustworthy AI, setting a new bar for how AI gets trained. This partnership feels like a big step toward changing how AI is built, focusing on quality data, openness, and giving users a real role in creating awesome training data.

Introduction to Anoma for App Developers x.com/i/broadcasts/1…

Intents aren't magic, but Anoma apps will feel like they are 🧙‍♂️ Users simply express their intent, and Anoma takes care of the rest. This enables a more human-centric future of seamless, natural user interfaces, and empowers people to make blockchains work for them.

🐷 $𝐏𝐀𝐋 𝐅𝐨𝐫 𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞 Ready to move on to the next generous giveaway? Now it’s time to reward the loyal ones — Whether you hold Gen0 or not, you can join. 🎁 Gen0 holders get 100 $PAL 🎁 Non-holders get 50 $PAL ⚠️ Only for the first 10,000 valid entries (Gen0 holders and non-holders collectively) 🟢 Start: July 1, 12:00 PM UTC 🔴 End: July 3, 4:00 AM UTC To participate: 1️⃣ Drop your BSC wallet address in the comments 2️⃣ Add 🤝PAL to the end of your X name 3️⃣ Post this slogan in your comment: No Rats. Only Pig. No VC. Only Community. This isn’t just a slogan — it’s the soul. The Pig doesn’t follow hype. The Pig builds it.

@PalioAI No Rats. Only Pig. No VC. Only Community. 0x746377660b9Ab6D65F649FF425fA2e427717E1E3

MAINNET PREP MODE: ACTIVATED ✅ 15M $TANSSI has been unlocked for the final phase of Journey to Mainnet. The campaign is rolling, and the llama’s calling. Next stop: Mainnet Launch! 🧵 Here’s what you need to know:

What’s next for real-world assets and tokenization? @guedalia_jacob has thoughts, and they’re worth hearing. Tune in below 👇 x.com/i/spaces/1ypKd…

If you’re still ignoring RWAs, you’re missing the real revolution. On-chain growth over 5 years: 2020: $150M 2021: $2B 2022: $5.2B 2023: $8.5B 2024: $15.8B 2025 (YTD): $20.99B 🤯 This is what real-world adoption looks like. Source: app.rwa.xyz

Every time you convert a yield-bearing asset to a stablecoin, you lose time, yield, and value. Now imagine skipping the conversion step entirely 👀

Ji-M! The RWA tokenization market is booming, with 260% growth in six months and a $23B market cap. We feel the momentum. Do you?

RWAs are boring? Only if you think tokenizing $900T worth of real-world assets is boring.

The future of tokenized assets isn’t just about yield. It’s about access. @FTI_US’s BENJI token makes it easy to buy, hold, and transact in tokenized treasuries. No complex onboarding. No loss of yield. Just download and go. @guedalia_jacob breaks it down 👇