A lot of people have been asking us... what does my data power? At ORO, we help power multimodal AI models broadly. Reasoning, Voice, Video, and soon... other verticals 👀 Why Multimodal? Because it's the space that centralized players can't and won't attack. The world of video, audio, long-tail data from wearables.... only a platform like us can aggregate it. And we're the only one working with the leading labs. First-mover advantage in effect.

Hot take: current staffing platforms won’t survive the next gen of AI data. AI data gravity is shifting to RL RFT for enterprises—aligning models agents to new, high-value use cases. The playbook: own uniquely valuable data at scale → build RL environments with enterprise → scale their product intelligence. Relying on human labor alone? Short-term win, long-term margin killer commoditization

Thanks to YOU, our community, we are one of the leading platforms aggregating data from wearables, social platforms, and more. We will make sure to reward ALL users who have provided high-quality, useful data that model providers want. It's ALL about quality, not quantity.

Why do serious data providers obsess over infra? 🤔 Because great AI data requires two things: 1️⃣ global-scale collection 2️⃣ autonomous quality verification #1 needs decentralization. #2 depends on powerful infra. We’re the only platform battle-tested on both—collecting private video, audio, and wearable data at scale with the best multimodal labs using it.

Most models today are trained on scraped web data... But that’s not where the next performance leaps will come from. The untapped layer? Voice notes, wearable streams, receipts, calendars, diagnostics. Structured, permissioned, and rich with real-world context.

Most people don’t ask how AI works. They just expect it to understand what they mean. That only happens when the data behind it reflects how people actually think, speak, and act. That’s what ORO is built for.

AI agents are already embedded in company workflows like handling sales, support tickets, even underwriting. But most teams still don’t trust them to run without human supervision. Why? The data layer isn’t ready. Infrastructure’s fragile. Privacy controls are missing. Autonomy doesn’t come from more parameters. It comes from better inputs.

AI infrastructure is becoming its own industrial revolution. 🔸 Meta is building data centers the size of Manhattan 🔸 Google’s upgrading hydropower plants 🔸 Microsoft is restarting nuclear reactors To power smarter systems, you need smarter infrastructure.

The next LLM breakthrough won’t come from model tweaks. It’ll come from test-time compute on real data: 🔸 dynamic context 🔸 source-level attribution 🔸 live inputs from devices and logs We're creating the bridge between passive models and interactive intelligence 🤝

New to ORO? It’s where you contribute high-signal data like voice, logs, or wearables with full privacy and control. In return, you earn rewards when your data helps train Frontier AI. Get started here 👇 getoro.xyz/blog/what-is-oro

Why ORO Matters? 🌅The rise of AI has sparked debates about data ownership, privacy, and fairness. Companies often harvest user data without clear consent or compensation, leaving individuals with little control. @getoro_xyz addresses these concerns by creating a system where: 🏆Users are Empowered: Individuals can actively participate in the AI economy, sharing data on their terms and earning rewards. 🥇Privacy is Prioritized: Advanced cryptography ensures that personal data remains secure, addressing widespread concerns about data misuse. 🪙AI Benefits Everyone: By enabling broader access to diverse, high-quality data, ORO helps develop more accurate and inclusive AI models, from medical diagnostics to personalized services.