A highly recommended read by @platacrypto. Super easy to understand. $REI is gonna change the game.

A Message from the Product and Dev Teams Before We Begin 2026: In 2025 we learned what building for the next mental model feels like. LLMs got everyone used to expect a certain thing from AI. say something, get it back. context persists within a session. it's familiar, it's what people know. Core doesn't work that way. and honestly, nothing alive does either. Core is cognitive architecture. It traverses concept spaces, evolves pathfinding strategies, forms relationships between ideas through reinforcement and feedback. decay is part of it, information that isn't reinforced fades but so is concept formation, competitive strategy selection and so on. It extracts meaning and not transcripts. We took as much inspiration as we could from living systems. and living systems don't regurgitate training data. that's not a bug, that's how learning actually happens. the gap isn't anyone's fault. years of LLM usage just built a certain habit; say it once, retrieve it within the session, no feedback loop, just dump and query. Core asks something different. you're not querying, you're teaching. same question gets better answers, not identical ones. corrections matter. reinforcement matters. In the past six months, we noticed that our UI worked great for advanced users who get those concepts from the get-go. for everyone else, there's a learning curve we're still helping with and adding guides to tackle. on top of that, UI (Factory) data APIs we added free of charge as a closed beta perk sometimes returned nothing and MCPs have their own flaws, things outside our control that still hit the UX. builders with their own custom stable data feeds don't have that problem. What worked the most for a certain demographic: builders who abstract the complexity, feed their own data, don't ask end users to prompt directly. @EclipticaOS is the first to go semi-public and hit a few thousand users in beta doing exactly that. In a nutshell: every app built on rei adds indirect users who get the benefits without the learning curve. the infra doesn't need to be understood by everyone to be useful. Beyond agentic core and mental models, learning curves and so on, the goal is fully capable digital entities that learn conceptually. right now Core handles reasoning really well. conceptual learning, numerical accuracy, things LLMs fumble. with Core Abstraction (separate from the agentic Core on the frontend/API), builders can plug in external knowledge bases that are task-specific. reasoning and retrieval without polluting your agent's brain. Abstraction is an intelligence layer for all AI, beyond agentic systems and text interfaces. it's destined to give builders complete freedom. We put all our energy into reasoning evolution and learning. that's much more challenging and will always be what sets us apart. task-specific retrieval and db integration ship with abstraction. the foundation had to come first. There's a reason AI feels like it's consolidating around a few big players. the models are massive, the compute is getting expensive, hardware costs are out of hand and if you're not running your own data center you're paying someone who is. we didn't want to play that game. Core is modular. we're aiming at making it possible to run on much less hardware than your average model even 10 versions away from this one. the goal was always to build something powerful that doesn't need billions to keep running. Holiday season just ended, we're back to work. It's been humbling. Shipping something completely new isn't always obvious to get right. thank you for sticking around, it means the world to us. Happy New Year.

Introducing Core Sandbox Alpha, the first inference-time learning coding assistant. Every interaction affects reasoning immediately. No RL. No retraining. No fine-tuning.

2025.11.14 Biweekly update iOS Testflight is live! x.com/rei_labs/status/198616… INTERNAL DEVELOPMENT Core + Testing Core 0.4.1 + Testing Coding Units Infrastructure + Deployed Code Sandbox pipelines in staging environment + Testing file analyzer 2.0 + Fixing an issue with unintended language meshing EXTERNAL ACCESS MVP.a + Improving overall fluidity and responsiveness + Refined auto-generated prompt feature Mobile App + Adding chart optimization based on chart type + Deployed formatting and other minor fixes and improvements Additional Highlights and Updates: + One click auto-generate behavior prompt feature x.com/rei_labs/status/198903… + LP migration and relock on Aerodrome x.com/rei_labs/status/198539… + API queries and Dev activity growth x.com/rei_labs/status/198831… Eco & Community Highlights: + Core-powered trading co-pilot @EclipticaOS launch x.com/EclipticaOS/status/198… + Ecliptica Strata founding vision x.com/A_Keyboard/status/1987… + n8n workflow for growth analytics by @MrJettip x.com/MrJettip/status/198867… + Memory, cross referencing, and conceptual mapping x.com/MrJettip/status/198856… + Perp trading user performance on 30+ trades by @kaliXBT x.com/kaliXBT/status/1987916… + Core 0.3 vs 0.4 comparative review by @_Conan0x x.com/_Conan0x/status/198433… + REIPlay: Core supported gameplay from @nmss_gg x.com/nmss_gg/status/1987203… + Chatgpt groupchat vs. R00Ms by @0xreitern x.com/0xreitern/status/19892…

Def give this TG Bot a go if you are into Trading Perps. Architected on $REI Core 🔥

Regardless of $BTC having hit the top or not, what’s the lowest it can go during the bear market?

Wow $REI launching on iOS sooooon. Beta Users can already test it. I can feel Open Beta also happening soon and that’s when the fun begins. 😎

A very well-written explanation on how things work with 0.4's Center when there is "intelligence" involved. $REI is delivering a mind-blowing tech tbh. 🔥 Open Beta and the Mobile App are most likely coming this quarter. x.com/rei_labs/status/198398…

In less than 12h we released 0.4 and the first patch, addressing legacy units updating them, in fact, to the newer standard. 0.4 has been one hell of a journey that required shifting the thinking process from the single unit to the whole system, creating the first instance of an “hive mind”. Since data privacy is the utmost important, what the units share with the central intelligence is not input/output, but an abstracted (and normalized) representation of how they reached a conclusion. As usual, feedbacks are welcome!

A great write-up by @0xKant_ about $REI CORE 0.4. I highly recommend giving it a read. NFA, but I wouldn't fade $REI if I were you. "Intelligence" is the way. x.com/0xKant_/status/1983519…

Super excited for $REI CORE 0.4. “A complete rebuild from ground up, with 0.3 taking over as the main building block.” 🔥

The first @torus_network Community Call for EZ reading. $TORUS

A wise man once said $TORUS is what comes next. @torus_network @SwarmNexus

Join us on @SwarmNexus, and you shall soon see lots of goodies in the works about $TORUS and @torus_network x.com/SwarmNexus/status/1980…

Oooooof talk about big news. $REI on @HyperliquidX. 🤯 LFG🔥

REI is now live on @HyperliquidX spot. Users can now access $REI on two chains and bridge seamlessly via @StargateFinance powered by @LayerZero_Core. HL now becomes a second home for us and a suite of Core-Powered projects including @EclipticaOS and their perps Co-Pilots.