lanke

your 💯 crypto master
web 3
builder
following back💯💯💯💯💯💯💯

[lanke @lanke111]

https://t.co/eIl9GPb8qF

[lanke @lanke111]

I KNOW WHAT YOU WANT!!!!!🤩 link in bio ⛓️‍💥🔗🩵

[lanke @lanke111]

Having me in your life is gonna make you feel alive…….link in bio❤️🥰

[lanke @lanke111]

https://t.co/eIl9GPb8qF

[lanke @lanke111]

I know you have had a long and stressful day today. 🥹I have just the thing you are looking for. Check comments 👇

[lanke @lanke111]

https://t.co/eIl9GPb8qF

[lanke @lanke111]

Finally this is the one you have been waiting for👏😍!!!!! Check comments👇👇

[Believer22 @be_liev_er22]

@SolarDePin @BinanceUkraine Real hardware, real solar power, and real compute—that’s what makes this interesting. ⚡️☀️ Great to see the progress in week two, and curious to see how much capacity SolarDePIN Hub can add next.

#SolarDePIN

[Believer22 @be_liev_er22]

@SolarDePin AI + renewable energy feels like a natural evolution. Decentralizing the compute while making it more sustainable could be a huge step forward. ⚡️🌱

[Believer22 @be_liev_er22]

@HotcoinGlobal Let's see how this goes..

Bullish

[Believer22 @be_liev_er22]

Happy Bitcoin Pizza day.

It all started with Pizza and 10,000 BTC. lol.

Crypto is here to stay
@BitMartExchange @Tangem
#BTC #BTCPizzaDay

[Believer22 @be_liev_er22]

DSperse is trying to solve one of the biggest problems in zkML: proving AI computations without making the system painfully slow or expensive.

Instead of verifying every single part of a model, DSperse focuses on verifying only the critical sections that actually matter.

That means faster proofs, lower memory usage, and a more practical way to make AI inference trustworthy in real-world environments.

It’s basically a smarter approach to scalable AI verification.

#SN2 #inferencelabs #Al @inference_labs

[lanke @lanke111]

@be_liev_er22 Honestly, seeing Inference making exploit with Al data speaks a lot about them.

[Believer22 @be_liev_er22]

Targeted verification makes AI verification more practical by proving only the most important parts of a model instead of the entire system.

This reduces cost, saves memory, speeds up zkML proofs, and still keeps critical AI decisions trustworthy.

A smarter balance between efficiency and security.

@inference_labs

#Al #ideas #web3

[lanke @lanke111]

@oyin_onchain @VAYLAOfficial_ What ai model did you use to make this?

[Believer22 @be_liev_er22]

Joining the @inference_labs zealy quest has been really enlightening.

I'm actively being exposed to new Al models. And indeed, Al is taking over.

#Al

[Believer22 @be_liev_er22]

i'm active on the @inference_labs leaderboard on @zealy_io

[Chainers @ChainersGame]

🧪🐷Chainers #MissionEvent: Rare Formula 🐷🧪 — Rare Seeds are now craftable!

30 Apr – 3 May 2026

Marty McSwine is back—with an astonishing discovery: the RARE one. Welcome to the Lab, where we experimented to a high level of success!

🐖During the Rare Formula event, coming to the game:

🧪 A new event mission + 6 special bundles Available ONLY in the shop during the event.
📌NOTE: Some bundles are limited—once they’re gone, they’re gone.
🌱 New crafting recipes for RARE spring seeds

🐖Complete every mission to earn:
35 random fertilizer, Charlotte, Rookie Dasher, 5 Spring Seeds, 5 Common Cardboard Plots, 1 Common Phytolamp

Chop-chop, smarty pants!

Scientific achievement unlocked! ✔️

[Modo @modoapps]

Raw on-chain data is hard to work with.

Modo API changes that.

Query what you need, get structured outputs, and use it directly in your app.

Here’s what that looks like in practice 👇

[lanke @lanke111]

@modoapps How vast is this API?

[Modo @modoapps]

Public or private? It really depends on your end goal.

Public: explore the network, discover activity
Private: go deeper, monitor what matters

Different levels of access built for different workflows.