I am still cooking daily on ProjectX ✅ Additional 25 points today ✅ Aiming the top 5k in the short term ✅ Hoping to get more liquidity to add to my position

Today i have online qualifier of college campus tour ⏱️ Out of 24 teams only 16 will play finals 😊 My college is the last one in this list 🙏 Due to some delay matches got delayed 😭 But now it’s happening 🥵 Wish me some luck 💪

gPerle Guys. Have you ever thought to ask yourself, what if the people training AI were finally the ones benefiting from it? That is the question @PerleLabs is quietly exploring, and it is more important than it sounds at first. lets break this down: THE MISSING PIECE IN AI TODAY. Behind every smart AI model is a massive amount of human input. People label data, review outputs, correct mistakes, and guide systems toward better results. The problem is, most of that work is invisible. It is often done by anonymous contributors, paid very little, with no ownership and no long term upside. The companies building the AI capture nearly all the value, while the people shaping it remain in the background. Perle Labs is trying to change that dynamic. A DIFFERENT APPROACH TO TRAINING AI. Instead of relying on random, low context contributions, Perle focuses on bringing in people who actually understand what they are working on. Think specialists, not just participants. Whether it is technical analysis, language refinement, or domain specific review, the idea is simple. Better input leads to better AI. But they go a step further. Every contribution is tracked. Quality is measured. And rewards are tied to how useful your work actually is, not just how much you do. That creates a system where effort alone is not enough. Accuracy and insight matter more. TURNING WORK INTO REPUTATION. One of the more interesting parts of Perle Labs is how it handles trust. In most data training systems, there is no real identity or credibility layer. You do the task, you get paid, and that is it. Here, your work builds a track record. Over time, that track record becomes reputation. And that reputation starts to open doors to better tasks, higher rewards, and more meaningful contributions. So instead of repeating low value work, you are actually progressing. It starts to feel less like gig work and more like building something that reflects your skill. WHY THIS MATTERS THAN PEOPLE THINKS. AI is only as good as the data it learns from. If the data is rushed, inconsistent, or poorly understood, the results will reflect that. And as AI systems become more embedded in real decisions, that gap becomes a real problem. Perle Labs is tackling this at the root by aligning incentives with quality. If people are rewarded for being thoughtful and precise, the output improves. And when the output improves, the systems built on top of it become more reliable. It is a small shift in structure, but it has big implications. A NEW KIND OF OWNERSHIP. The bigger idea behind Perle Labs is not just better data. It is a different relationship between people and AI. Right now, most of us interact with AI as users. We give input, we get output, and that is where it ends. Perle is exploring a world where your input is not just used, but valued in a lasting way. Where your contributions help shape systems, and you share in the upside of that impact. THE DIRECTION THIS IS HEADING. As AI continues to grow, the question is not just who builds it. It is who trains it, who improves it, and who benefits from it. Perle Labs is placing a bet that the future will reward systems where people are not just participants, but stakeholders. And if that plays out, it could quietly reshape how value flows in the entire AI ecosystem. #PerleAI #ToPerle -participatiing in @PerleLabs community campaign.

11 Premier League matches left How many pts are we getting out of possible 33pts?