Ariisme

[OKX @okx]

🔥 HOT MERCH ALERT 🔥

Want to rep OKX in style? Enter our weekly giveaway for a shot at exclusive merch!

All you gotta do is:

👉 Follow @OKX
🔁 RT & tag 3 friends

New winner picked every Tuesday. Good luck! 😎

[Ariisme @Ariisme3]

@Yaki_fomoArt @anoma This is the first time a multichain pitch actually feels usable. Intent-based UX is the real unlock

[Yaki @Yaki_fomoArt]

Every Web3 app today is duct-taped to some chain. @anoma asks why build on a chain when you can build above all of them?

They’re building an OS for the multichain world, where apps speak user intents, solvers do the heavy lifting, and blockchains just settle.

Let’s break down the 3-layer cake that makes Anoma special 👇

1️⃣ Application Layer – Dapps, but not as you know them

In Anoma, dapps aren't rigid, single-chain silos. They're portable, intent-aware programs that live above infrastructure. One app, any chain.

Instead of doing something like “send token A to B,” you just say what you want like “I wanna swap A for B, but only if I get at least 5% yield and Bob approves”

That’s an intent. The app lets you speak like a human and lets machines solve it.

2️⃣ Networking Layer – The Solver Mesh

This is where the magic happens.

You don’t need to manually swap, route, or guess anything. Just shout your intent into the Anoma network like “Hey, I wanna trade A for B”

Now imagine a bunch of solver bots eavesdropping, going: “Cool, someone else wants B for C, let’s connect the dots.”

A → B → C

Everyone wins, and the whole thing gets bundled into a valid transaction without you lifting a finger.

Anoma’s solver network handles the heavy lifting, only getting paid when a real intent actually settles.

3️⃣ Settlement Layer – Multi-chain, programmable finality

Finally, transactions are anchored on your favorite chains.

Anoma doesn’t force you to settle on it. You can use Ethereum, Bitcoin, Solana or even spin up your own mini-chain aka a fractal instance with whatever setup you want.

This bring-your-own-settlement model gives you total flexibility. For privacy, use shielded instances. For speed, rely on local consensus. For interoperability, settle atomically across chains.

Anoma unbundles the execution stack so you can choose your trust assumptions without losing the shared architecture.

Anoma’s 3-layer OS model is more than clean modularity.

Instead of just executing code, it lets people and agents express preferences, solve collectively, and settle globally while preserving privacy, flexibility, and scale.

The future of crypto UX won’t be built on chains. It’ll be built above them and Anoma’s layered OS might just be the invisible framework powering it all.

[Yaki @Yaki_fomoArt]

AI is getting smarter. But it's also getting more confident and more wrong.

New “reasoning” models from OpenAI, Google, and DeepSeek aren’t getting more truthful. They’re getting more persuasive at being wrong.

OpenAI’s latest model hallucinates twice as much as the previous one. Because they’re trained to “think” harder and the more they think, the more creatively they lie.

Here’s what’s really going on 👇

[1] Models aren’t built to understand truth, they’re built to predict words

[2] The better they get at reasoning, the more complex and convincing their guesses become

[3] High-quality human data is running out, so companies are feeding models their own AI-generated content

[4] That means today’s LLMs are being trained by yesterday’s hallucinations

It’s like letting a pathological liar proofread your essay then using that version to train the next editor.

This is an architectural failure. And you need to change the foundation.

@miranetwork flips the model entirely:

→ Don’t trust the output

→ Break it down into small, fact-level claims

→ Have other models vote on it

→ If they agree, you keep it. If not, you trash it.

→ No single model is the authority. Truth is a consensus.

They’re shifting the paradigm by building a system that doesn’t believe anything until it’s been verified by multiple independent AIs, in real time, with crypto incentives.

[Ariisme @Ariisme3]

@Yaki_fomoArt we’re finally moving from “trust me bro” AI to “trust but verify” AI

[Ariisme @Ariisme3]

@Yaki_fomoArt This right here is why OpenLedger isn’t just another AI hype train. They’re actually building the rails

[Yaki @Yaki_fomoArt]

You won’t build the next billion-dollar AI company with a black-box model and scraped data.

You’ll build it on something like Openledger where the data is verifiable, the model is auditable, and everyone who contributes gets paid.

We all saw what happened with ChatGPT, Claude, and Gemini. They turned into trillion-dollar pipes pulling data from everywhere. No credit, no trace, no ownership.

The next wave won’t run on vibes. It’ll need attribution, provenance, proof.

That’s where OpenLedger shines with a full-stack AI blockchain that unlocks an entirely new generation of apps:

– Onchain Kaito that actually pulls from Reddit, Substack, YouTube, and attributes every source

– Audit AI that continuously tracks exploits, CVEs, live governance changes, and evolves with the chain

– Cursor for Solidity, a copilot trained on real contract bugs, security learnings, and protocol logic

– A decentralized Coursera that pays educators as their modules help students progress

– AI lawyers that cite actual statutes and court decisions across jurisdictions

– Mental health AIs that adjust culturally, responsibly, and transparently because your well-being isn’t a one-size-fits-all problem

– A web3 Indeed that maps jobs, skill gaps, candidate strengths, and tailors education loops based on real hiring data

Each one sits at the intersection of community-contributed data, verifiable logic, and programmable incentives. And OpenLedger is building the protocol rails that make them possible.

Instead of trying to guess the next 100x AI token, ask this:

What protocol gives AI devs the tooling to build billion-dollar products and pays contributors fairly when those products take off?

There’s only one real answer right now.

Study @OpenledgerHQ.

[Ariisme @Ariisme3]

@Yaki_fomoArt @xswap_link @Mastercard @chainlink @ZeroHashX @Shift4 @Uniswap XSwap’s playing a way bigger role than most realize

[Yaki @Yaki_fomoArt]

This is TradFi to crypto, connected through the biggest players in both lanes and @xswap_link is the one doing the routing.

They’re now powering the backend swap infrastructure for a fiat-to-crypto flow involving @Mastercard, @chainlink, @ZeroHashX, @Shift4, and @Uniswap.

You swipe your card → crypto hits your wallet → XSwap routes the final swap onchain.

So what’s XSwap’s role?

It’s powering the backend for @swapperfinance with a deep stack:

• Mastercard handles fiat rails
• Chainlink handles secure cross-chain routing
• ZeroHash handles compliance and custody
• Shift4 handles card processing
• XSwap handles routing and pricing execution
• Uniswap closes the trade onchain

XSwap is quietly becoming the engine room that connects TradFi payment flows with onchain liquidity.

[Yaki @Yaki_fomoArt]

There’s a category of altcoins that aren’t chasing attention, but quietly powering the stuff people actually use.

XSwap is one of those. Everyone’s watching the narratives meanwhile XSwap is the plumbing behind all three.

– It routes 60%+ of Chainlink CCIP volume
– It just integrated with Lido for ETH staking across Base, Arbitrum, and Optimism
– It’s one of the first protocols running AI insights directly in a DEX UI
– It’s native to Base, which is heating up hard this summer

→ @xswap_link is the front-end aggregator for crypto’s best backend infra and it’s still sitting under a $7M cap.

Probably one of the cleanest r/r setups if you’re rotating into underpriced infra.

There’s also a trading comp and referral program running:

– $12K+ in rewards
– 30% rev share paid in USDC
– Zero-fee swaps for new users

It’s low-friction to test and see what’s going on under the hood: https://t.co/NGGKAS2pxq

[Yaki @Yaki_fomoArt]

Meta’s $15B into Scale AI made one thing loud and clear. Whoever controls the data pipeline controls the future of AI.

That pipeline is closed. Data gets consumed but never credited. Your voice, your code, your writing power the model but you never see a dime.

@OpenledgerHQ unlocks their vision with a public alternative: Proof of Attribution.

It’s the framework that turns data into an onchain asset. Every time your dataset contributes to a model’s output, it logs the influence and routes the payment automatically.

It uses:

→ Influence functions for gradient-based tracking on small/fine-tuned models
→ Infini-gram to trace token-level contributions in large LLMs
→ Attribution scoring to split rewards based on actual model impact
→ Onchain logging so no one gets cut out of the loop

You upload data into a DataNet, and it becomes part of a living economy. When a model uses it and gets paid, you get a cut, tied to your contribution, not speculation.

PoA is what separates OpenLedger from every other crypto AI play. It’s about turning AI’s core fuel, data, into a traceable, ownable, programmable primitive.

Meta/Scale AI showed how valuable the pipeline is. OpenLedger is making that pipeline public infrastructure.

📖 Read the paper: https://t.co/ZMZkiGNkvn

[Ariisme @Ariisme3]

@Yaki_fomoArt @OpenledgerHQ turning data from a one-time fuel into an asset you actually own and earn from, total game changer

[Yaki @Yaki_fomoArt]

Scale AI and Meta shows how valuable data pipelines really are but they’re locked down, opaque, and built for centralized AGI.

@OpenledgerHQ is building the public antithesis, a world where data pipelines are transparent, traceable, and open to all.

A billion open pipelines is better than one closed fortress.

Meta is securing AGI’s backend. OpenLedger is democratizing it.

While Scale builds high-quality, human-labeled data stacks for one client, OpenLedger is building infrastructure where anyone can run their own open Scale AI whether you’re a solo builder, a DAO, a startup, or a sovereign team spinning up agents.

Instead of closed-labeling loops, OpenLedger’s stack lets contributors upload niche datasets → lock attribution on-chain → get rewarded based on real model impact via Infini-gram scoring.

Data becomes a living asset, not just fuel for LLMs, but something you own and earn from forever.

They’re building programmable, permissionless infra for the other 99%:

- Data Factory where anyone can upload, score, and monetize niche datasets
- Model Factory that lets you fine-tune without code or GPU
- OpenLoRA to spin up verifiable agents

Everything you contribute gets tracked with Proof of Attribution. If your data trained a model that gets used, you get paid automatically.

Scale AI sells to Meta. OpenLedger powers models across healthcare, DeFi, robotics, and beyond, all permissionlessly.

The next arms race in AI won’t be GPUs. It’ll be who owns the data. And Meta just told us that game is worth $15B+.

OpenLedger is letting the internet play.

[Ariisme @Ariisme3]

@Yaki_fomoArt @CryptoSniperfun Time to stack some USD1

[Yaki @Yaki_fomoArt]

You ever hit a headshot so clean it paid you?

There’s a new FPS on BNB Chain where every snipe earns real profit.

It’s called @CryptoSniperfun, skill-based gaming meets on-chain rewards.

Start by doing basic social quests → get Play Points → enter the “Road Game” where you literally snipe moving targets.

You jump into a first-person shooter where every headshot drops you on-chain $USD1 and gun parts.

🔸 There are 3 tiers of sniper rifles:

– All are unlocked through loot crates (no marketplace BS)
– Guns can’t be bought or repaired
– Once it breaks, it’s gone. Gotta earn a new one.

🔸 And when it’s go-time, you’ve got 2 ways to fire:

– No Scope: fast, twitch reflexes, but less precise
– Scope Mode: slower, but deadly if your aim’s true

🔸 PvP is live too:

– Compete in real-time FPS matches
– Ranked by Score > Kills > Damage
– It’s sweaty but rewarding if you’re cracked

🔸 Aside from raw $USD1, there are bonus systems too:

– Invite friends to get 10% more XP, 20% token rebate
– Bring your squad, farm together, climb the leaderboard

Unlike most GameFi, CryptoSniper actually rewards skill. No pay-to-win, no shortcuts. If you want better gear, get better aim.

It’s still early on X right now, but the gameplay loop is clean, competitive, and addictive.

[Yaki @Yaki_fomoArt]

OpenLedger’s core thesis is simple. Data is the new oil but right now, everyone’s fracking for free. No one owns what they feed the machine. No one gets paid. No one knows where anything came from.

After listening to the space w/ @ripchillpill @R2D2zen @Crypto_bn and Ram from @OpenledgerHQ, I’m convinced this might be the most important unlock for anyone who believes AI shouldn’t be owned by a few black-box monopolies.

🔸 They’re building a programmable AI stack where every data point can be traced, audited, and paid for. Ram broke it down clean:

→ Every model built on OpenLedger is traceable
→ Every bit of data used to train it is credited
→ Revenue from model usage is split between model devs & data contributors
→ All attribution & payouts are logged on-chain

🔸 They’ve got a full-stack AI studio rolling out:

- Data Factory for uploading/curating niche datasets
- Model Factory for building fine-tuned models (no code, no GPU needed)
- OpenLoRA to deploy them efficiently and verifiably

They’re already onboarding devs including ex-DeepMind teams, running 10+ real model builds, and working with governments and enterprises on production use cases.

And unlike centralized AI giants, OpenLedger is verifiable and permissionless.

Wondering if you can actually use this?

OpenLedger is built for people like solo builders, hackathon devs, open-source model tinkerers even gov/enterprise teams looking for LLM infra that isn’t locked behind NDAs.

🔸 What makes this even more exciting?

→ Mainnet launches in weeks
→ $OPEN is the core currency (access, reward, infra cost)
→ OG community + testnet contributors are getting recognized
→ Yappers campaign is part of their long-term builder loop

If the future of AI is decentralized, then data, models, and agents must be owned by the crowd.

OpenLedger’s building exactly that. Might be time to rotate in.

[Yaki @Yaki_fomoArt]

.@yapyo_arb just hit #1 in mindshare on Cookie. The posts are everywhere, the engagement looks strong.

But when I think about it, it looks kinda hollow.

They’ve flooded CT with nothing but engagement tweets. Is this actual traction or just algorithmic mindshare farming?

Their entire identity is glued to Arbitrum and Kaito, but there’s zero confirmation from Arbitrum itself.

Even the site feels like it was launched last night, just a wallet connect and a vague flywheel chart. They’re asking for liquidity without delivering transparency.

Then there’s the buyback claim. You stake $YAPYO for protocol revenue but where’s that revenue even coming from?

The model feels like it reverse-engineered $LOUD’s meta, then wrapped it in orange branding and Arbitrum buzzwords.

Not saying it’s a rug. But can anyone actually show me something?

[Yaki @Yaki_fomoArt]

Spark is now turning into a full-blown onchain asset allocator, something between BlackRock and an autonomous hedge fund, but for DeFi-native yield.

I call it the first real capital engine on Ethereum.

Built by ex-Maker folks, @sparkdotfi kicked off as SparkLend but quickly realized the bigger play was in orchestrating liquidity at scale.

That became the Spark Liquidity Layer, now managing $3.6B+ across BlackRock, Morpho, Ethena, Centrifuge, and more.

But what makes it wild is the rebalancing logic underneath.

The Spark Liquidity Layer is a smart contract controlled vault that’s constantly reallocating stablecoin capital across multiple yield venues, automated, algorithmic, and optimized for bull and bear.

In a bull, it’s lending to Morpho, chasing basis trades on Ethena. In a bear, it goes conservative with Treasury bills via BlackRock and Centrifuge.

Now pair that with the governance model. Spark is the first Star in the Sky ecosystem (what they used to call subDAOs). Each Star operates semi-independently, takes on balance sheet risk, and earns rewards based on how well they grow USDS adoption.

This is real institutional-grade money management, onchain and in public view.

If Lido was the staking layer, Spark is quietly becoming the yield layer. They’re building the infrastructure TradFi wishes it could.

Study Spark.

[Yaki @Yaki_fomoArt]

If you’ve been following the @FogoChain Flames campaign, S1 is now wrapped. Leaderboard’s frozen, bots are gone. Pretty solid first round.

Now we’re entering what they’re calling Season 2, but in practice it’s the public testnet.

Also, @RobertSagurton already said it’s non-incentivized. So you're not competing for crumbs.

Imo, if you’ve been around this long, you probably know how the game works. Might be worth your time.

The stack already feels complete:

• @ambient_finance as the main DEX
• @PythNetwork with 1ms price feeds via Pyth Lazer
• @Nightly_app for wallets
• @metaplex for full NFT infra (DAS, Candy Machine, Bubblegum)
• @goldskyio for dev-grade subgraphs and data syncing
• @solscanofficial already running on Fogo’s private testnet
• @infinex bringing passkey UX, gasless swaps

All of this is running on a Firedancer-only chain pushing sub-1s finality and 20–40ms block times.

You don’t really get that until you try it.

If you care about speed, infra, and L1s that aren't just LARPing decentralization, this one’s kinda hard to ignore.

Warming up your wallet early.

[Ariisme @Ariisme3]

@Yaki_fomoArt KCEX’s early listing and 0% fees are a solid play for memecoin season