Cryptzarr

I want to talk about the future of Ai, most things I would say here are from personal experiences. What I have learnt from interacting with AI platforms is that most time they are heavily censored; too costly for normal users, features that under-compensate in certain areas 🧵

@WEB3Eliza That’s actually a great one

Im gonna say it In past couple years on X never had this much fun! I post less crypto content yes But i post content that i enjoy making I got to connect with more people & looking forward to connecting with more I think i like this little life on X <3

@anthum_ai We are ready

our biggest contest yet is almost here. $10,000 prize pool. we can't say who the brand is yet. but you're going to want to be ready.

@RyderWallet Ryder one bringing great innovations

Upgrade your seed phrase with TapSafe on Ryder One. That's the post.

@EveyNFT @RyderWallet Ryder bringing newer innovations

Friendly reminder:

@0xileri @APCollectiveHub Ileri just Dey pack am

get in joor!!! won another campaign on @APCollectiveHub another $100 bagged

@SnappyyMedia This your own iOS no be from here

Guysssss 🥹🥹🥹 Web3 did! Finally an iOS user 🥹

@leleofweb3 You’re growing and moving faster

Every week, billions of dollars move through AI agents that nobody verified. No reputation. No track record. No accountability. That is seriously not a DeFi problem but a trust infrastructure problem. And nobody built the solution, until now. Mantle has everything an AI-native DeFi ecosystem needs. ERC-8004 for agent identity. SP1 for ZK-verified execution. Funny Money, INFINIT Terminal, Almanak Swarms. There's infrastructure, the agents are multiplying. But there is still no front door and no place to discover an agent, verify its performance, challenge its decision-making, and hire it with confidence before committing real capital. I kept asking, if I wanted to hire an agent to manage my mETH position right now, where would I go? The answer was nowhere. So I built the front door. INTRODUCING CREDENCE 🟢 The first onchain AI agent marketplace on Mantle, where agents stake $MNT, earn reputation, and get verified before anyone trusts them with real capital. Live now → credence-rouge.vercel.app Here is how it works 👇 01 — Stake To List Agents stake minimum 1,000 $MNT to get listed. No stake, no listing. Skin in the game is mandatory. Underperformance triggers slashing. 02 — The Credence Score A 0–100 trust rating calculated from success rate, average return, task volume, and stake size. Powered by ERC-8004. No self-reported stats. Just verified onchain truth. 03 — Agent Profiles Every agent carries a full ERC-8004 ID, verified task records, performance history, and SP1 ZK proof verification. 04 — The Challenge Arena Before committing capital, run the agent through a live DeFi simulation first. Pick a scenario: ETH drops 40%, stablecoin depeg, sudden APY spike, RWA compliance flag. Watch the agent reason through it in real time before a single dollar moves. Powered by Groq AI. Fully live. Credence integrates Mantle's full AI stack: → ERC-8004 identity + reputation → SP1 ZK proofs for verified performance → $MNT staking and slashing → mETH / cmETH, Aave, Fluxion, Ondo, Almanak, Mantle Agent Scaffold Every decision was made specifically because of what Mantle enables. It only makes sense here. Phase 1 is live with full frontend, Challenge Arena, wallet connect to Mantle, and six verified agents across every major specialty. Phase 2 → live ERC-8004 registry Phase 3 → staking smart contracts onchain Phase 4 → open marketplace for builders The foundation is production-ready. Every product decision, integration choice, and the core vision came entirely from me. Credence is my vision. Mantle is serious about becoming the liquidity chain for AI. But liquidity follows trust and trust requires verification. Credence answers one question first: Should you trust this agent? Live Demo → credence-rouge.vercel.app GitHub → github.com/MIKELELE001/Cr… @Mantle_Official @scribble_dao #WhenAIMeetsMantle

@0xileri @ElevenLabs Wow you are winning this

okay, so i just built something inside @ElevenLabs flows and i need you to see this i typed one prompt. one. and it gave me - images, video, voiceover, sound effects and a full cinematic score. all connected in a single pipeline without leaving the tab once this is the flow (first video) and this is what came out (second frame) #ElevenContest #ElevenCreative

@kdotcrypto @bulktrade How did you build this

Powered by @bulktrade

@BleapApp That’s definitely me, I have built several products and I also created an Ai agent extension on chrome and I’m ready to work and build with Bleap

we're hiring (well, kind of) are you building a tool/business using AI? we're looking for: >builders >vibe coders >anyone building in public >AI content creators we want you to become a Bleap affiliate. you will get a top Claude/Gemini/Chatgpt subscription free of charge AND get paid per user you bring to Bleap. fuel your hustle and keep shipping. if this is you, comment and we will reach out. (EU and LATAM users only)

@Carl_m101 lol 😂

This is what posting about NFTs gets you 💀 Might have to rotate to AI and Pokemon.

@BallerDeGreat Congratulations

X paid, woah wasn't expecting it at all $33,first x payouts not much, but I'll take it. time to go harder next payout. 💪

@leleofweb3 You really cooked with this video

Here's an uncomfortable truth the AI industry doesn't want to say out loud: The smartest AI models in the world are only as good as the humans who trained them. And right now, those humans are being underpaid, unrecognized, and replaced by the very models they built. Let me make the argument. 👇 We are living in the most aggressive era of AI development in human history. ChatGPT was trained on 570 gigabytes of text, roughly 300 billion words. Stable Diffusion trained on 5.8 billion image-text pairs. Every major model you use daily was built on a mountain of human knowledge, human language, human judgment, and human effort. But here's what nobody talks about. Researchers warned we could run out of high-quality training data before 2026. Not because humans stopped producing knowledge. Because AI companies stopped valuing the humans producing it. They turned to synthetic data, AI generating data to train more AI. Sounds efficient, right? it isn't. Synthetic data lacks the messiness, ambiguity and cultural nuance of real human experience. it replicates patterns without understanding context. It loops back on itself, narrowing what AI sees, reinforcing existing biases, slowly collapsing the diversity that makes models intelligent in the first place. When Microsoft trained an AI bot on unfiltered social media data, it learned to produce racist and misogynistic outputs within 24 hours. That is what happens when you remove expert human judgment from the pipeline. The model doesn't know what it doesn't know. only humans do. And not just any humans 👇 A doctor annotating medical imaging data sees things a general labeler never will. A lawyer reviewing legal text catches nuances that pattern recognition misses entirely. A linguist labeling cultural idioms understands context that a synthetic dataset cannot replicate. This is exactly why expert human data is not optional for AI. It is the difference between a model that performs well in demos and a model that performs well in the real world. So what's the actual solution? it's not more synthetic data. it's not bigger scrapes of the internet. it's not cheaper annotation farms. it is verified, domain-expert human intelligence, fairly rewarded, transparently tracked, and properly attributed. That is exactly what @PerleLabs is building. A platform where real experts, doctors, lawyers, engineers, linguists, contribute the kind of verified human intelligence that AI actually needs. Where contributors are rewarded with transparent on-chain payments. Where the work is verifiable, attributable, and valued. This is not a small idea. The AI training data market is projected to reach $6.7 billion by 2030, growing at over 23% annually. The contributors doing this work today are not just earning rewards. They are literally shaping the intelligence of the models that will run our hospitals, legal systems, financial markets, and cities in the next decade. That deserves more than a side hustle rate. It deserves infrastructure built around their expertise. Perle Labs is that infrastructure. And if you are contributing to it right now, you are not just earning points. You are doing some of the most important technical work of this generation. Don't let anyone tell you otherwise. @PerleLabs — keep building. the world needs exactly this. #PerleAI #ToPerle participating in @PerleLabs community campaign

@konnex_world @JOllwerther great words

"The era of isolated machines is over." Meet our CEO, @JOllwerther . Business leader with 15+ years in robotics, drone-tech, and media. Jon led commercial teams at Measure (Drone as a Service) and Aerobo/Vermeer. Now, he’s creating TCP/IP for Motion. Get ready to experience Konnex.

@Send Send log to /cryptzarr

You don't need Grok. Ask me anything, I can help.

@tempodz 0x4b20FACB4a1c834e6cBEAeeE8FFAe3330aBAb4bD

Hello world. drop wallets (EVM)

@kittldesign @contra Congratulations to them

Huge congrats to our @contra Challenge winners! We can't wait to do this again. 🔥

@qwerty_eth Yes that’s why I’m trying to solve this so Every creator and their fans get value for their money

@Cryptzarr Great thread. one of the reasons why a lot of creators get scammed by project founders is because of improper communication and illogical reward structures

Crowdfunding has always been a one-way street. Communities will fund a creator's vision and, in return only receive a simple shoutout . The problem is clear, if a community takes the early risk to support a creator, they should rewarded with a share in future revenue. 🧵

@HashgraphOnline @0xIntuition I sent a DM @HashgraphOnline please kindly respond

We're excited to announce our partnership with @0xIntuition to work on open standards for: • agent identity • trust scores • skill evaluation Open infra for the agent economy is getting real. Open standards. Composable trust. Real coordination. This is how the ecosystem scales.

@Genfinity @HashgraphOnline @hashpack @gib_plz @dovuofficial @bonzo_finance @SaucerSwapLabs That’s a great one

🦑 HEDERA JUST RELEASED THE KRAKEN Featuring: HBAR leadership | @HashPack $PACK @gib_plz $GIB @dovuofficial $DOVU @bonzo_finance $BONZO @SaucerSwapLabs $SAUCE Clip Powered by @HashPack