olaniyi wahab

@naps000 @umarola97 KR8mqkJLpVybFaVfeJCG4gv3vRVgA7SBXiy1vzoccCT

If you see this drop your wallet address in Solana. This unc may give airdrop something we’ll deploy soon

@VeivaVerse @JackNiewold This is amazing

Imagine the headline: 20,000 individuals investing on the same terms as billionaires. That’s the future.

@0xzeus50 @GoblynzNFT @wallchain @magicburp This is great

Today I will be showing up for Theorem and I’m wishing the team good luck. Decided to try something with @GoblynzNFT What’s coming? Goblynz is more than a PFP project. It’s a brand. We build tools,Holders share in the revenue. And also create NFT creators TGIF @wallchain

Another JAMB CBT centre has reportedly sent back a UTME student because of her hijab! A video of this incident went viral on TikTok yesterday, and we call on the Joint Admissions and Matriculation Board (JAMB) to thoroughly investigate what truly happened at the centre.

Una carry this stupid question enter bear market???

This might have been resolved. But it is a recurring symptom of a deeper underlying issue. That narrative didn’t appear overnight. Targeted campaign has been ran against Muslims in the SM space, movies, churches, and schools. People have been brainwashed to think “big” hijabs = extremism. If they can run campaigns, we can too. We can and should run counter campaigns (jungles, TV broadcasts, PSAs on SM platforms etc) with aims to 1. Educate our Muslim sisters on their rights 2. Remind the public what freedom of religious expression actually means and not trample on those rights. I am calling on Religious leaders, creatives, influencers and KOLs to collaborate on running this counter campaign measures. Please tag people who you think can support.

This is fcking 2026 man!! Why stopping someone from writing exams because of hijab They need to penalize the owner of this center…

@_apex_divine The education page is not working

Shell Graduate Programme 2026‼️‼️‼️ Eligibility To be eligible for the Shell Graduate Program: You must have graduated (Bachelor’s or Master’s) before your start date Nysc completion shell.wd3.myworkdayjobs.com/en-GB/ShellCar…

@theProcessXCII Winner joor

Just woke up,….. Mide did what?

This is me rn

Football is a mad game 😀

@Trappwurld @l0f0_00 @heIlo___ Now I’m about to smash that highest scoreboard

• #l0stANDf0und 🐙 to play: https://lost-n-found-pi(.)vercel(.)app/

@pabl0theEngine Just like yesterday 😂

ctng 2024-2025

@Mccoy_Labadsy Too real 😭😭😂

Aang would have wanted me to see it for free anyway

@Lawonxyz @GenLayer Cook

Tried to capture what @GenLayer Quiz really feels like. A moment to slow down, connect and just enjoy being part of the community. Tried to bring that exact feeling into this design.

@0xtimooo E dy funny bro 😅

the first time i find out, na once i enter thinking. we never drink real milk before🤣🤣

@pabl0theEngine I love this your new business

my guy said "good morning pabloDeclutter, abeg this my gen3 starlink too fast o, i no want make my gadgets spoil" so we're getting rid of it. price 400k

The thing holding my life together rn are tawakul and solat. I wonder how I would be without them 🫠

This is just fcking basic human life. We can actually do this…. 🥲

@Lawonxyz Good one

It’s easy to think all blockchains work the same until you realize some are starting to reason, not just execute. Most blockchains are designed to follow instructions. Which mean you write the rules, deploy the contract and the network executes exactly what you defined, If the condition is met, it runs. If it’s not, it fails. That system works well for simple use cases like payments, swaps or anything that can be clearly defined ahead of time but the moment you step outside of those boundaries, things start to feel limited because the real world doesn’t operate on predefined logic. For example, if someone is meant to complete a task at a specific time but ends up being a few minutes late, a traditional smart contract doesn’t care why, it only checks whether the condition was met or not. If it wasn’t, the outcome is fixed. But a human wouldn’t approach it that way. A human would ask questions, was there a valid reason for the delay? Was it intentional? Does it actually affect the outcome in a meaningful way? That gap between rigid execution and real-world reasoning is where things start to break and it becomes even more obvious when you think about where things are heading. We’re moving into a world where AI agents are starting to operate more independently. They can make decisions, interact with systems, negotiate and even take actions on behalf of users. If these agents are going to exist onchain, there’s an important question that comes up: Who decides if what they did was actually correct? On most blockchains today, the answer is simple. If the action follows the predefined rules, it’s considered valid but that doesn’t always mean the outcome makes sense and that’s the limitation. Blockchains are great at verifying logic, but they don’t understand results. This is the problem @GenLayer is trying to approach differently. Instead of just adding AI as a feature on top of existing systems, the idea here is to rethink how the network itself reaches agreement. On a typical blockchain, validators are responsible for checking whether transactions follow the rules, their job is to verify, not to interpret. But in this new model, validators take on a slightly different role, they evaluate whether the outcome actually makes sense. Each validator runs its own AI model and uses it to assess what happened rather than expecting every validator to produce the exact same output, the network compares their reasoning and finds alignment across different perspectives. That’s a fundamental shift. Instead of strict identical execution, you now have a system that can deal with nuance, ambiguity and situations that don’t fit neatly into predefined logic. It means contracts are no longer limited to “if this, then that.” They can start to handle more complex scenarios. Things like dispute resolution, context-aware decisions, or outcomes that depend on interpretation rather than fixed rules. This is what makes the Bradbury testnet interesting. It’s not just about testing infrastructure or performance. It’s about experimenting with a completely different idea of what consensus could look like when reasoning becomes part of the process. And it’s important to understand that this kind of system isn’t meant to be perfect from day one. Reasoning systems need room to evolve, they need to be tested, challenged and improved over time. It might take time for this to fully click, but the shift is already starting to become visible and like most things at this stage, the people who take time to understand it early will have the clearest advantage as it develops.