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Let’s talk real: AI is all the rage, but have we ever truly “owned” it? Or seen its value flow freely? Most AI models are still locked away on big company servers—opaque to use, and even more confusing when it comes to revenue distribution. On the blockchain side, assets are flying, but there’s always felt like something’s missing... a touch of “intelligence.”
 
That was until I discovered Aiclosed. Its ambition blew me away: it wants to build a bridge to turn AI “intelligence” into on-chain, verifiable, tradable, and composable assets! Sound revolutionary? After a few days of research, I’m convinced this could be a key narrative for the next cycle.

 
Core Vision: From “Data as Asset” to “Intelligence as Asset”
 
Aiclosed isn’t just another “AI toolbox”—it aims to rebuild the foundation. Simply put, it’s developing a protocol that lets you put your trained AI models (prediction models, GANs for avatars, even trading strategies) on-chain, like NFTs or tokens. Once on-chain, every call and inference is recorded, verified, and revenue is automatically settled.
 
What does this mean? AI developers can directly “assetize” their models, set prices, and trade them in an open market. Other developers or DApps can easily combine and use these models—like building with Legos—to create smarter applications. It’s like plugging an “AI brain” into the entire Web3 world!
 
Hardcore Tech: How to Make “Intelligence” Trustworthy On-Chain?
 
Slogans are easy—implementation is key. The architecture of Aiclosed shows they’re tackling real problems:
 
ZK-AI Oracle: Uses zero-knowledge proofs to verify AI inference results! This means you can prove your output is trustworthy on-chain, without revealing model details or raw data. Revolutionary for financial predictions, automated contracts, and more.
 
AgentChain (Agent Network): Create autonomous on-chain AI agents that load models, handle tasks, and even collaborate with other agents. Imagine your crypto wallet not just holding money, but also an AI assistant that researches, trades, and manages assets for you!
 
Layer2 AI Execution Layer: An environment optimized for high-frequency AI inference, solving gas and speed issues and making “on-chain AI” practical.
 
Economic Model: How Does the $AICD Token Capture Value?
 
Their native token, $AICD, is the ecosystem’s “gas” and “governance credential”:
 
Payment Gas: Used for model call fees, agent operation fees, verification fees—all on-chain actions.
 
Governance Power: Holders vote on which models get listed, how the ecosystem fund is used, protocol upgrades, etc.
 
Distribution looks restrained: large allocations to ecosystem fund (25%), community incentives (20%), node rewards (15%), with team and private allocations having clear long-term vesting plans (12-24 months)—showing a commitment to long-term development.
 
Ecosystem Potential: What Can It Be Used For?
 
The use cases are mind-blowing. Here are a few examples:
A DEX integrates a market sentiment prediction model to auto-adjust liquidity pool parameters.
A GameFi project buys an “NPC behavior logic model pack” so game characters have real intelligence.
A DAO calls investment analysis models to support treasury decisions.
You, as a creator, train your own art-style model, put it on-chain, and earn royalties from paid calls!
 
My Take: Grand Vision, Execution Is Key
 
Honestly, the blueprint of Aiclosed is cutting-edge, even a bit ahead of its time. The challenges are huge: technical complexity, ecosystem bootstrapping, and attracting the first wave of high-quality AI models on-chain.
 
But the direction is absolutely right. The fusion of AI and blockchain is inevitable, and Aiclosed is taking the most thorough, imaginative approach: turning intelligence itself into an asset. Even if it achieves just part of its vision, it could make huge waves in both Web3 and AI.
 
This is not a short-term hype project, but a long-term protocol aiming to define the next decade’s infrastructure.

I strongly recommend anyone interested in AI or the future of Web3 to read their whitepaper! It’s full of solid tech details and ambitious ecosystem plans. Whether you’re a developer, investor, or just curious, you’ll find inspiration.
 
Some projects are here to hype; some are here to build. Aiclosed feels like the latter. It may not moon overnight, but what it’s trying to build could become an entirely new ocean. Worth adding to your watchlist and keeping a close eye on!
 
#Aiclosed #AI #Web3 #ArtificialIntelligence #Blockchain #DeFi #GameFi #DAO #ZK #IntelligentAssets #NextBigTrend
 

Wojak is not just a meme — he’s the meme. From early message boards to today’s crypto culture, Wojak (Feels Guy) has become the emotional backbone of the internet.
And now, he arrives on the fastest meme blockchain alive: Solana.

Introducing $WOJAK — the Solana-powered token built around the most recognizable face in meme history.


🧠 Who Is Wojak?

Wojak, also known as Feels Guy, began as a simple MS Paint drawing of a bald man with a melancholic, reflective expression. Over time, he evolved into a global language of emotions — sadness, regret, hope, coping, winning, losing, and everything in between.

Today, Wojak isn’t one meme — he’s hundreds of sub-memes, variations, characters, edits, and moods.
As of 2023, searching “wojak” online yields more than 200+ recognized versions, from Doomer Wojak to Zoomer Wojak, Cope Wojak, and the legendary Based Wojak.

Wojak is the meme that grew up with the internet — and now he grows with Solana.

⚡ Why $WOJAK on Solana Works

Solana is the epicenter of the meme bull market — high speed, low fees, massive community energy.
Pair that with the most emotionally recognizable meme in crypto, and you get a perfect alignment of culture and chain momentum.

Fast chain + iconic meme = viral scalability
Built for the masses — low fees for endless meme trading
Wojak fits perfectly into Solana’s storytelling meta

Every emotion, every chart, every pump, every dump — Wojak has a face for it.
Solana has the speed to keep up with it.

🚀 The Bullish Meta

The best-performing Solana memecoins are the ones rooted in universal internet culture:

• Simple
• ⁠Recognizable
• ⁠Emotional
• ⁠Evergreen

Wojak checks every box.

Whether the market is coping, celebrating, suffering, or euphoric — Wojak is the face of the moment.
And tokens built on emotion are the ones that spread fastest.

$WOJAK isn’t chasing trends — it is the trend.

🌕 The Bottom Line

Wojak has been the emotional narrator of the internet for over a decade. Now, with $WOJAK on Solana, he becomes a tradable symbol of the entire crypto experience — highs, lows, gains, losses, triumphs, and cope.

👉 The biggest meme in crypto is finally on the fastest chain in crypto.
This is $WOJAK. This is Solana. And this is only the beginning.

@ Wojak8J69
https://x.com/wojakonx
https://wojakmeme.fun
CA: 8J69rbLTzWWgUJziFY8jeu5tDwEPBwUz4pKBMr5rpump

Recently, the narrative in the Web3 space has begun to shift towards “AI +,” especially following the OpenAI launch of Sora. Many have clearly sensed that AI is not just a fleeting trend within a hype cycle, but truly has the potential to become the next foundational technology layer, much like mobile internet did. Ultimately, whether it is text generation, image creation, or large model inference and training, the essence of AI still revolves around one key term: computing power.

This is precisely where the problem lies. The AI services we use today may appear “free” and “intelligent,” but behind the scenes they are built on an extremely centralized resource structure: high-performance GPUs are monopolized by major corporations, leaving ordinary developers with little access; data sovereignty is lost the moment data is uploaded, and “energy consumption anxiety” has become a new source of digital pollution. Web3 has always claimed to “reshape value relationships,” so is there any project in the AI space that offers a genuinely sincere solution?
 
Coincidentally, I recently tried out a new project called Gplusck. Rather than positioning itself as an “AI platform,” Gplusck introduces the concept of a “decentralized AI operating system,” which I found quite intriguing. I would like to share my experiences and insights from using and exploring the project.
 
Initially, I was drawn in by its “carbon footprint NFT” feature. Simply put, each time you contribute computing power, the system generates a traceable carbon certificate based on your local electricity type (such as solar, hydro, or thermal power). This carbon certificate can be traded, destroyed, or used as a green incentive in DeFi participation. For the first time in Web3, I saw “green energy” not just as a slogan, but truly written into on-chain smart contracts.
 
Upon deeper exploration, I discovered that Gplusck has made several technical architectural innovations. For example, its computing power sharding mechanism breaks down large AI training tasks into “computational microcells,” which are intelligently scheduled based on node performance, latency, and energy type. Data transmission employs quantum encryption and invisible sharding, with built-in data compliance sandboxes for various jurisdictions—a significant plus for project compliance. Even model training incorporates AutoML and federated learning, ensuring data “never leaves the local environment.”
 
Moreover, Gplusck is not just about ideals. The project offers a low-code tool called GemForge. I tested it and found that you can genuinely build a “prediction market + AI oracle” dApp simply by dragging and dropping components—very user-friendly for non-technical users. I also browsed the official ModelVerse model library, which already provides over 800 pre-trained models for use, covering fields such as healthcare, finance, and content moderation.
 
Of course, there are still areas for improvement. Currently, the network does not have a large number of access nodes, and computational latency in some scenarios is less than ideal, especially with multi-node coordination—there remains room for optimization. The team claims they will deploy a 50MW solar-powered computing center in the Sahara this year, which I am looking forward to seeing in practice. Additionally, from a tokenomics perspective, GPUCK employs a typical deflationary and staking governance model. While the design is sound, its success depends on the actual computing power market and data trading scenarios—otherwise, it risks falling into the “lots of talk, little use” trap.
 
Overall, Gplusck is not the kind of project that immediately amazes me, but the more I explore, the more I appreciate its solid architecture and real-world potential. If you are interested in AI and computing power, or in Web3 infrastructure, I recommend taking some time to learn more about it.
 
Finally, a question for you: Have you been following any “AI + Web3” projects lately? Are there any you think are truly addressing fundamental issues? Feel free to share your thoughts in the comments!
 
(Disclaimer: This article reflects personal opinions only and does not constitute investment advice. DYOR.)