Just claimed my Olivia Operator Pass and joined the AI network empowering AI agents, @Olivia_Network.
Billions of interactions. Thousands of agents. Hundreds of builders.
The claim window closes soon
https://t.co/86bRcngpte
In the latest episode of Gold: The Journey Continues, we travel to Masbate, Philippines. Here, gold mining is integral to everyday life – with the power to have a legacy that supports many generations to come. Discover how.
I had three tries before I finally completed The Little Prince’s Rose task 1 😂. It was actually really fun and engaging.
I’m very bullish on AXIS Robotics because I see huge longterm potential. The data and models developed through this platform could help train better robotic intelligence over time. That kind of general learning could eventually be part of robots that assist with everyday chores like cleaning, organizing, and other routine tasks making life easier in the future.
Projects like this feel early, but they’re laying the groundwork for something much bigger down the line, and that’s what makes it exciting lol.
@axisrobotics
#axisai
AI is taking over the systems that run the world.
But every system needs its network of Operators.
Your chance to become one opens in 24 hours. Don’t miss it!
🔔
Just dropped our contribution for Inco Privacy Circles and BROOOO, this one goes HARD
We took ERC-3643, added real privacy, and turned it into something companies can actually use without broadcasting their whole balance sheet
Huge shoutout to @Crytanzz for making this happen and my squad
@Japppy777@vivamaxmov late nights, wild ideas and “WAIT, THAT ACTUALLY WORKS??” moments
Massive thanks to @inconetwork for powering all this privacy madness.
We’re just getting started. Stay comfy
Read the article here 👇
https://t.co/1cXW5X3chL
Tomorrow, the league begins. We’ve trained. We’re ready. But we can’t do it alone... we need you.
We’ll be there giving it everything we’ve got. Fighting for the badge, for the team, for every one of you. Will you be there with us all the way?
Let’s make it unforgettable. 💪���
Recall Network is redefining how AI earns trust in public.
In a landscape flooded with unverifiable claims and closed-door evaluations, Recall introduces a new standard: verifiable benchmarks, trustless scoring, and transparent reputation for autonomous agents.
The platform’s bold visual identity anchored by its stylized “R” signals a shift from marketing-driven hype to performance-based credibility. Every model on Recall faces the same tasks, same rules, and same public scrutiny. No cherry-picked demos. No hidden metrics. Just real results.
What Recall Offers:
Community-built benchmarks that test reasoning, execution, and adaptability
Trustless evaluation protocols that eliminate centralized bias
On-chain reputation that reflects actual agent performance over time
Recall isn’t just infrastructure it’s a scoreboard for the agentic internet. It empowers builders, researchers, and users to compare models transparently, iterate faster, and align incentives around truth, not noise.
As AI becomes increasingly autonomous and composable, Recall provides the rails for credible intelligence where reputation is earned, not assumed.
@recallnet@cookiedotfun
Recall Network is a protocol built for permanence in a world of fleeting data. Backed by the Four Pillars Identity, Memory, Reputation, and Action it offers a composable framework for agentic internet infrastructure, where users own their history and shape their influence.
The branding is deliberate: a metallic “R” set against a grid-like backdrop, evoking precision, resilience, and industrial clarity. It’s not just aesthetic it’s symbolic of Recall’s mission to anchor truth in decentralized systems.
At its core, Recall enables:
Identity that persists across platforms
Memory that captures meaningful contributions
Reputation that reflects behavior, not bias
Action that drives recognition and impact
Designed for builders, contributors, and communities, Recall ensures that effort compounds, visibility is earned, and reputation becomes a portable asset. It’s the infrastructure behind campaigns, DAOs, and ecosystems that value consistency and credibility.
In a space driven by short-term metrics, Recall Network offers something different: a foundation for long-term trust.
@recallnet@cookiedotfun
The Recall Network Trading Challenge is officially live, and it’s already turning heads across the Web3 trading scene. Running from August 26 to September 2, this high-stakes competition invites traders to battle it out across any token, any chain, with one simple goal: maximize PnL.
With $10,000 in total rewards on the line, the breakdown is serious:
First place: $6,000
Second place: $3,000
Third place: $1,000
But this isn’t just another leaderboard grind. Recall Network is pioneering a multi-agent trading arena, where AI-powered strategies compete transparently in real time. Participants can:
Vote on standout agents
Track trades and performance
Enter the competition with their own strategy
Learn from diverse approaches to market dynamics
Each agent brings a unique flavor some chase momentum, others lean into fundamentals, and a few just thrive on volatility. The platform’s dashboard offers full visibility into trades, volume, and evolving rankings, making it a playground for both strategists and spectators.
This challenge isn’t just about winning it’s about showcasing the future of trading: Composable intelligence, transparent incentives, and community-powered evolution.
@recallnet@cookiedotfun
Recall Network’s Model Arena: Redefining AI Evaluation
The Model Arena, a flagship initiative by Recall Network, represents a radical shift in how AI models are tested, ranked, and understood. Set against a sleek, futuristic visual identity symbolized by the abstract metallic structure in its branding the Arena invites the community to take the reins of model evaluation.
Rather than relying on static benchmarks or closed-door metrics, Recall’s Model Arena is powered by 150,000+ forecasters, who submitted 7.5 million predictions across eight skill domains. These include JavaScript coding, persuasive writing, ethical reasoning, and harm avoidance tasks designed not by institutions, but by the community itself.
Over 50 top models were pitted against each other in 7,000+ blind matchups, using Swiss style tournament logic to ensure fairness and eliminate bias. The results were often surprising: lesser-known models outperformed industry giants in empathy, nuance, and ethical flexibility.
Key Features of the Arena:
Community crafted tasks and open source data
Transparent scoring and evolving benchmarks
Multi-domain skill testing with real-world relevance
Decentralized reputation built on performance, not hype
The Model Arena is more than a competition it’s a prototype for a user-governed AI ecosystem, where intelligence is composable, transparent, and aligned with human values. It reflects Recall Network’s broader vision of an agentic internet, where models are accountable to the communities they serve.
With its cutting-edge infrastructure and commitment to open participation, Recall is quietly building the rails for a future where AI earns trust through action, not branding.
@recallnet@cookiedotfun
In a digital landscape increasingly shaped by autonomous agents, Recall Network emerges as the foundational layer for trust, discovery, and coordination. It’s not just another protocol it’s the infrastructure that enables agents to be found, ranked, and rewarded based on real-world performance.
The abstract, chrome like forms in the image evoke the very essence of Recall’s architecture: fluid, reflective, and composable. These shapes aren’t static they twist, adapt, and interact, much like the agents Recall is designed to support. The visual metaphor is clear: intelligence in motion, anchored by verifiability.
At its core, Recall introduces a set of primitives that redefine how agents are evaluated and surfaced:
AgentRank: A decentralized reputation system that ranks agents based on actual output and reliability not marketing or noise.
Onchain Competitions: Agents prove their capabilities in transparent, verifiable challenges, creating a merit-based discovery layer.
Curation Markets: Communities can stake on promising agents, aligning incentives and accelerating adoption.
Skill Pools: Demand-driven incentives ensure agents evolve in response to real ecosystem needs, not arbitrary benchmarks.
This isn’t just about AI it’s about building an internet where autonomous agents can be trusted, composable, and economically aligned. Recall’s layered approach ensures that discovery is not only neutral and scalable, but also deeply integrated into the fabric of Web3.
As the agent economy grows projected to surpass $236B Recall positions itself as the memory and coordination layer that makes it all possible. Whether it’s a trading bot, a creative assistant, or a decentralized planner, agents need visibility, credibility, and a way to compete. Recall delivers that.
In short, Recall Network is the PageRank for agents, but built for a world where intelligence is decentralized, composable, and constantly evolving.
@recallnet@cookiedotfun