hunter
143.8K posts

hunter
@hunter_nft
life changed by nfts 🦍 | bayc minter | punk earner | founder 2x | nfa | partnerships specialist
Metaverse Katılım Eylül 2013
12.2K Takip Edilen34.1K Takipçiler

Good morning CT
It’s not complexity, it’s where value leaks
@wallchain fixes silent losses like:
- MEV
- Slippage
- Mispriced attention
It’s not about UX or speed , it’s who captures the value
With Wallchain:
- Fairer transactions
- Rewards for real contribution
Users create value → users keep more. That’s the edge

Wallchain Quacks@wallchain
🦆 Wallchain Clipping Event #5 is live. 🏆 1 Quack Heads NFT for the best clip. How to join: – watch our latest livestream – clip your favorite moment – post it – drop the link in Discord (below)
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gQuack Quacks 🦆🦆
While those who shone yesterday fade away today, @wallchain has been building that silent and unshakable skeleton for a long time.
Multiple pivots, thousands of hours of data mining, and a will that hasn't strayed a millimeter from its course even during DeFi’s fiercest periods.
What I observe is this: This system did not appear on stage overnight; it was tested thousands of times to seal every single leak, it broke, and it returned even stronger.
It is time to stop chasing fleeting glimmers; with @wallchain, let us watch that pure power where time and labor have crystallized.
#Wallchain #Resilience #DeFiEngineering

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gQuack
The grind back up has started 😬
Will I be able to Quack it till I make it to the top of the @wallchain leaderboard? 🤔
Overtaking the legends @beijingdou and @thegaboeth is not going to be an easy task 😅
And if you reply to this post asking me if it makes sense to quack, given that there are no campaigns in progress, then my answer to you is, I'm in it for the fun and vibes now.... no monetary benefit expected 😐

Srini 🏴☠️@srinigoes
gQuack You snooze, you lose 😅 Was really busy IRL and couldn't quack here... so ended up back where I started at the beginning of the week... Keep quacking fam, don't let up if you want to keep climbing the @wallchain mindshare leaderboard 🫡 Miss the quacker legend Tyer's posts 😢
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GM TO EVERYONE ☀️
When Jensen Huang mentioned decentralized AI training, attention immediately shifted toward Bittensor.
But this had already been explored well before that moment.
Back in June 2025, @0G_labs published the DiLoCoX paper on arXiv, showing that large-scale model training across decentralized nodes was way more efficient.
They demonstrated 100B+ parameter training over standard hardware and typical internet, while improving communication efficiency by 357x compared to traditional methods.
There's also a key difference that often gets missed. Bittensor focuses on a specific trained network, while DiLoCoX is designed as a framework that can be used to train any model.
It's also part of a broader stack which is combining compute, storage, data availability, and chain.
Next stop: EthCC Cannes 2025 on April 1 📍

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