FLock.io (@flock_io): FLock’s AI prediction model ranked Top 6 on FutureX, outperforming multiple 70B-400B+ models.

FLock’s AI prediction model ranked Top 6 on FutureX, outperforming multiple 70B-400B+ models. We’re also the only Web3 team in the global top 10. Our approach uses a lightweight 20B open-source model, trained end-to-end on FLock’s stack: federated training, reinforcement learning, and our Edge Agent framework, while other models run on massive 70B-400B+ parameter bases. This week, it ranked #6 on the FutureX leaderboard, competing with some of the most advanced AI models in the world, and ranked ahead of several of them in overall prediction performance. - GPT-5 variants - Alibaba Qwen3-235B - Kimi-k2 (Moonshot) - ChatGPT-Agent - Grok-4 (Peking University) - DeepSeek - Tencent Hunyuan - Gemini 2.5 Pro - xAI Agents … and more What makes this special is not the rank alone, but how it was achieved. While most leading models rely on massive parameter scales, our 20B model shows how efficient training, a strong data strategy, and decentralized compute can deliver competitive performance. FutureX is the industry’s leading benchmark for real-world future prediction, evaluating models on their ability to predict upcoming financial, social, and economic events. This is exactly the capabilities needed for next-gen prediction models. Our result proves that: - Smaller models can outperform massive ones when trained right - Decentralized AI pipelines can deliver state-of-the-art results - Open-source foundations can compete with big proprietary labs - FLock is the only decentralized AI team to make the list We believe AI will change how finance and trading work. That’s why we’re focused on building the infrastructure for that future-prediction model, robust federated training network, and a decentralized network for model assets.