RELIGN AI

building reasoning engines.

7AkSKHomPcrJHSgnKFmbrqKARR7PyDk9XoE1PHrtpump

[RELIGN AI @relignai]

https://t.co/SmldXTcrZo

[RELIGN AI @relignai]

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.

__

[RELIGN AI @relignai]

impact analysis__

think a 14% improvement in mathematical reasoning is an incremental gain?

study the importance of step-accuracy

[RELIGN AI @relignai]

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__

[RELIGN AI @relignai]

impact analysis__

think a 14% improvement in mathematical reasoning is an incremental gain?

study the importance of step-accuracy

[RELIGN AI @relignai]

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.

[RELIGN AI @relignai]

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__

[RELIGN AI @relignai]

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__

[RELIGN AI @relignai]

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.

[Feraribs💫 @Feraribs]

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 🚀💫

[RELIGN AI @relignai]

which ai reasoning upgrade excites you most?

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

[RELIGN AI @relignai]

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 AI @relignai]

relign is building a framework for developing more reliable market analysis through post-training strategies.

if this sounds interesting to you, join our discord:
https://t.co/keQYnNF7xc

[RELIGN AI @relignai]

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.

[RELIGN AI @relignai]

we're building toward a future where market analysis is:

- more systematic
- better reasoned
- fully auditable
- consistently reliable

[RELIGN AI @relignai]

join us:

https://t.co/keQYnNF7xc

[RELIGN AI @relignai]

our recent math benchmarks unlocks more than the ability to solve equations.

mathematical reasoning can transform how AI thinks across all domains.

[RELIGN AI @relignai]

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.