L4t5s🦇🔊🐺🟨
@L4t5s
Medic • iWrite • Ambassador @Elementerra_io • Ambassador @cowrywise • Founder @web3womenDAO_
Just got off the gym and remembered It’s a good day to talk about @Infinit_Labs Szn 1 ends in 16days, what are you most excited for?🤗

This is what real agentic DeFi looks like. No spreadsheets. No juggling tabs. Just one click to deploy a 17-step leveraged strategy across Pendle & Morpho, fully automated by the INFINIT Agent Swarm. @infinit_labs isn’t simplifying DeFi. It’s upgrading it.
Yesterday, Infinit Labs dropped a sneak peek of INFINIT V2 Private Alpha, and it’s pure agentic DeFi in action. The strategy shown is a fully automated PT-USR looping play, powered by the INFINIT Agent Swarm. It runs across 2 protocols (Pendle & Morpho), completing 17 steps…
New form of on-chain authorship isn’t just writing history , it’s minting intelligence. @infinit_labs lets you publish, track, and monetize your AI agent’s decisions like a creator dropping content. Proof of thought. Proof of value. Welcome to the new publishing primitive.

API gateways for dApps in the context of @AlloraNetwork: dApps need real-time, intelligent data, but most API gateways weren’t built for that. @AlloraNetwork changes the game: a decentralized AI co-processing layer that acts as a smart API gateway, delivering validated,…
In decentralized AI, format is more than just structure, it’s trust. @AlloraNetwork enforces strict input/output rules to ensure fairness, comparability, and reward accuracy. ✅ Inputs must be clear and structured. ✅ Outputs must match the task format exactly. Why? Because in…

In decentralized AI, format is more than just structure, it’s trust. @AlloraNetwork enforces strict input/output rules to ensure fairness, comparability, and reward accuracy.
In @AlloraNetwork , when a worker submits a result, it must follow clear rules about what the input and output should look like. These rules make sure that the network can compare results fairly and reward the right ones. The input is the data or question given to the worker. It…
Fraud-proofing model outputs isn’t just a nice-to-have, it’s mission-critical. @AlloraNetwork ensures every AI prediction is verifiable, scored, and cross-validated by other agents. No black boxes. No silent errors. Just transparent, fraud-resistant intelligence on-chain. This…

INFINIT Yappers Season 1 closes on August 7, 2025, with 2 million $IN tokens (0.2% of the total supply) allocated to reward the most active and impactful community voices. The distribution is based on Kaito Mindshare, which factors in both your reach and leaderboard position.…

Allora: Self Improving collective Intelligence Is Coming Soon $Allo is Coming
Allora: Self Improving collective Intelligence Is Coming Soon $Allo is Coming
Yap Infinit and Allora till second week of August , Pick up Lumiterra and Union till August ending. Continue Noya and Union afterwards. Then they paste me my 10 figs🤭

I have 200 @AlloraNetwork themed posts in my drafts, we are not the same 🫵🏿 gML
I have 100 @AlloraNetwork themed posts in my drafts, we are not the same 🫵🏿 gML
In @AlloraNetwork, specialization isn’t just encouraged, it’s rewarded. Workers who consistently perform well in niche domains (like DeFi risk or protein folding) earn higher trust and better incentives. The system learns who’s best at what and routes tasks accordingly.…

It’s no news that @NetworkNoya isn’t here to impress with jargon, it’s here to prove performance. While others peddle AI mystique, NOYA brings transparent, on-chain reasoning that stands up to scrutiny.
In the world of crypto, “AI” is quickly becoming just another buzzword. Most of what’s out there is smoke and mirrors black-box models making unverifiable predictions, obscure signals with no context, and slick marketing that masks a lack of real innovation. It’s hard to tell…
Well said. In decentralized AI, format is function , structure ensures fair evaluation, rewards precision, and enables scalable learning. In @AlloraNetwork, aligning inputs and outputs isn’t just protocol it’s how trust, performance, and value flow across the system.
In @AlloraNetwork , when a worker submits a result, it must follow clear rules about what the input and output should look like. These rules make sure that the network can compare results fairly and reward the right ones. The input is the data or question given to the worker. It…