RELIGN AI

progress update__ building on the relign framework and establishing foundations to support other projects in the space: / algorithmic trading use-case with ???J in development, leveraging proprietary datasets to post-train models specifically on trading rewards. / command line interface is in progress, enabling easier and faster framework use. / added additional experiment configurations. __

impact analysis__ think a 14% improvement in mathematical reasoning is an incremental gain? study the importance of step-accuracy

better reasoning has immense implications; - ai systems can tackle longer reasoning chains - ai systems are more reliable in real-world applications - opens the door for autonomous agents we're about to cross a critical threshold__

in multi-step reasoning, mistakes compound exponentially. assume a 70% baseline accuracy per step: 1 step: 70% success 5 steps: 17% success 10 steps: 2.8% success our recent benchmarks achieved a 14% improvement in base reasoning. Over 10 steps, this equates to a 519% improvement.

scaling models isn't enough. real intelligence requires systematic reasoning - the ability to think step by step and correct mistakes. this is precisely what relign is building. a reasoning layer that plugs in to any model / agent / system__

market analysis usecase__ most market analysis tools today fail because they can't replicate human reasoning chains. Even sophisticated algorithms struggle with multi-step market analysis. think about the steps involved in analyzing markets: - price action across multiple timeframes - sentiment signals from social/news platforms - onchain metrics and whale movements - protocol specific dynamics - macro environment impacts and market regimes this creates a complex web of interdependent decisions.

I was just scrolling when I stumbled upon a project that blew my mind. AI that doesn’t just predict—but actually thinks🤔. Mind blowing, right? Had to dig deeper. Crawl with me🧵😅👇 RELIGN: The Future of AI Reasoning 🚀💫

which ai reasoning upgrade excites you most? open source reasoning engines are coming - which application are you most excited to explore?

what we're working on__ - building a CLI for easy model training/experiments - preparing to post-train 3B/7B models on sentiment-based trading (moving beyond math). - major framework refactors are underway (replacing VLLM) to support large-scale training runs relign__

relign is building a framework for developing more reliable market analysis through post-training strategies. if this sounds interesting to you, join our discord: discord.gg/cWpSGE2rcq

we're building toward a future where market analysis is: - more systematic - better reasoned - fully auditable - consistently reliable

join us: discord.gg/cWpSGE2rcq

our latest benchmarks showed a 14% improvement in base reasoning. this compounds exponentially with each step in complex tasks. with an 80% baseline accuracy, this is a 400% overall improvement. and we're just getting started.

our recent math benchmarks unlocks more than the ability to solve equations. mathematical reasoning can transform how AI thinks across all domains.