⚙️ AINFT Grid Is Cooking Up the Next AI Wave
AINFT Grid is turning AI development into a full-on community battleground. Distributed training, open source models, DeFAI experiments and a network that grows as people build on it.
▸No gates
▸No permission
▸ Just pure decentralized momentum.
This is where decentralized LLMs stop being a concept and start becoming real. Anyone can tap in, train, refine and push models forward. The more the community joins, the faster the system evolves. It feels less like a platform and more like an AI engine powered by the entire TRON ecosystem.
If you want in on

Retention > acquisition
Thesis on @AbstractChain
- Events as growth engines
- XP as glue that keeps users coming back
- #GameFi + #Prediction + creator-led tournaments as the daily habit loop
Proof points from my week
- Pulled $133 on @MyriadMarkets during those wild NFL swings, clean UX and fast settle
- @xeetdotai tourneys are addicting, still curious about that “Bear detected” tag and what Bearish will power
- @_megaweapon_ is already fun and smooth, just needs lighter graphics; a mobile build would be a breakout
- @KonaDeFi feels like that quiet compounding vault meta that sneaks up on you

. @infinit_labs is quietly building one of the wildest setups in all of DeFi, and I’m not sure people fully grasp what’s live right now.
The idea is simple but kind of insane: you type anything in plain English: any yield idea, any chain, any risk level and Infinit instantly turns it into a fully executable, multi-step agent strategy.
Once you hit go, the swarm handles everything:
• swaps, deposits, borrows across protocols
• 1-click leveraged positions (like 17-step PT-USR looping on Pendle + Morpho)
• verifiable execution via EigenCloud so nothing can be tampered with
And that’s it ~ no tab

Hey fam ☕,
This is how to make your wallet happier.
Just turned a 9-win streak on TSLA hourly into 42 % boosted $LMTS staking APY on @trylimitless.
Now waiting for BTC 5-min to print again!
Could it be SOL or NVDA next?
Or maybe the big Season 2 airdrop snapshot?
We wait patiently & don’t forget about staking $LMTS & those sweet points!

Wanted a cleaner way to get skin in #ComputeFi without chasing vapor. so I tried the prover path with @cysic_xyz and it actually clicks: the “miners” are compute providers, the “blocks” are proofs, the demand is every L2/ZK rollup and even verifiable AI that needs heavy lifting
Here’s what you can do:
1) check your rig (GPU or specialized accel helps)
2) join the prover network + install the client
3) point your hardware, keep it online, watch jobs fill the queue
4) track performance, optimize throughput, compound your edge
The kicker: their custom ZK accelerators push 100x+ prover speed, dirt

When I first started joining launches, every raise came down to the same question:
“How fast am I? Do I have the right connections? Will I get dumped on day one?”
#alignerz ’s Initial Weight Offering takes this burden off the user and onto the protocol.
You state “how long you will hold,” and the protocol decides your price, your allocation, and whether bots even get to play.
This approach transforms fair launching into a design problem solved at the protocol level, rather than a simple matter of clicking faster than everyone else.
This was the real turning point for me: define your conviction

Yo fams!
Zama’s FHE model is interesting because the privacy isn’t an add-on layer it’s the encryption you compute directly on without decrypting data.
That design choice quietly shifts how developers think about security.
FHE-based privacy creates a different set of incentives:
• devs evaluate data flows and exposure risks as part of their architecture
• high-stakes apps cluster around encrypted computations for compliance
• casual builders become more intentional each op carries real privacy context
• power users learn to optimize across chains and hardware for noise reductionIt’s not just a

Tokenization was the first inning; distribution is where games are won. Most chains mint RWAs then strand them in silos. @MavrykNetwork is built for flow, not storage:
❍ L1-level programmable compliance so assets behave like instruments
No wrappers, no bridges, just verifiable collateral
❍ Validators secure real-world proofs with delegation/co-staking wired to RWA collateral
❍ DEX in final testing to route yield into open markets
❍ Ledger apps cleared audits, fresh SDKs for builders dialing in faster
The proof point isn’t a PDF, it’s a pipeline: MultiBank’s multi billion partnership to tokeniz

Tried @deberrys_xyz last night sealed bids stayed encrypted end to end while the contract still enforced rules. Powered by @zama_fhe’s FHE + homomorphic key management, it runs logic on ciphertexts with evaluation keys, then key‑switches outputs so only I can decrypt. No private keys ever touch the network, and validators verify deterministic encrypted execution
Lightweight ZK checks ensure inputs were encrypted correctly, even client‑side. Compared to ZK‑only or TEEs, this felt like real onchain privacy. What should get FHE next: voting, ID, or DeFi strategies?
#FHE #privacy #web3 $ZAMA

Drop from top 400 to top 500 on the @wallchain leaderboard and took @SCORProtocol’s quack performance guide as a wake-up call. Tweaked my picks, pushed streaks, and my SCOR ID jumped a tier. The gems I’m stacking now route into $SCOR at TGE #SCOR, not just bragging rights
What clicked: licensed sports IP becomes programmable, and on TON L1 it runs like game-night flow. Card deposits and mobile on-ramps made onboarding painless, and La Liga partners were a smooth entry. Who else is optimizing their quacks vs grinding quests?