kali

Faith driving us like a Rolls Royce.

@rei_labs grei

Bias engineering and bias avoidance are both direct results of how a Unit is trained and evidence of structured learning working as intended in the current build (0.4). Whether to correct for bias or lean into it deliberately is a training decision. Individual training is uncharted territory, especially for markets. Every user who trains a Unit brings a different framework for when to intervene, what to reinforce, what to let drift. Two users starting from the same template will end up with different outcomes. This breakdown is a useful starting reference for training trading Units, but we don't expect optimal methods to exist yet. The more people who train on Core, the more likely someone finds approaches no one has considered. The design space is too large for any single team to explore. 0.4 is already behind its successors and we haven't used it in a while, but it means a lot to us to see people training Units on it and trusting them with real capital.

@EclipticaOS gStrata

What if the AI didn't just tell you what to trade... but traded it for you? This week.

@guid_o @rei_labs

@kaliXBT @rei_labs

Rei Labs cracked what others couldn't in AI. Core is an architecture designed to sit beneath its products and handle the hard problems: memory, reasoning, and real-time adaptation. It's not another chatbot. It's the reasoning layer. That already puts @rei_labs in a different category from most projects in the AI space. Beta ending soon. Public access incoming.

@rei_labs grei

Thank you to all of our iOS TestFlight users over the past few months. Your feedback across 10k sessions and 21 builds has been incredibly valuable. TestFlight access will end soon and may be removed without further notice.

@EclipticaOS gStrata

Equity AI unit is now our top performer. +36.35% return, 2.33 Sharpe, -1.7% max drawdown. Recently caught the energy rotation - long OIL and GAS while equities stay risk-off. 45 days of patient, methodical execution paying off.

@ElCryptoDoc @rei_labs grei

I'll be straightforward about why $REI is one of my highest-conviction AI picks. Most projects in this space are betting on distribution. Get users first, build later. @Rei_labs bet on architecture. Build something real first, then open it up. That's the harder path. It's also the more defensible one. Rei Core is their OWN reasoning system. Hanabi-1 is their OWN financial model. ERCData is their OWN blockchain standard. At ~$24M mcap you're buying into an AI research lab with live products, an active ecosystem, and a public release happening right now. The market hasn't priced in what this becomes if Core proves itself at scale. I think it will. That's why extremely bullish

@0xreitern @rei_labs (ﾉ◕ヮ◕)ﾉ･*:･ﾟ✧

latest @rei_labs UX update very smooth (ﾉ◕ヮ◕)ﾉ･*:･ﾟ✧

@rei_labs 👀

We’re making a set of incremental updates to Rei API and Rei Chat over the next few days. Some of this work touches core request handling, so there may be brief periods of intermittent availability as changes roll out. Once complete, these updates should reduce latency on general queries, cut down on edge-case failures, and improve API stability under load.

saint laurent in less than 20 minutes.

@rei_labs 👀

As we roll out our release schedule, Phase 1 of transitioning out of closed beta is now underway. Thank you to our beta users for your feedback and support. Expect almost daily maintenance in production including Sandbox during this phase. A brief overview below ↓

@rei_labs grei

@rei_labs grei

Self-evolving Units are constantly learning through interactions with their user. The quality of training shapes the trajectory of evolution. With adaptive AI, the user’s ability to teach is the new ceiling. Great to see experiments and explorations in different specializations.

@EclipticaOS gStrata

Our first Live Market Experiment is now public. We gave our units $25k to trade across Equity, Crypto and Forex, and we're tracking everything. Position closure. Profit taking. Drawdown. Sharpe. Win rate. How machines behave vs humans under the same market conditions. Link: strata.ecliptica.ai/nebulyst

@ajp_digital grei

@ajp_digital @A_Keyboard @notwashed @rei_labs @EclipticaOS 👀

@notwashed The tech is there - cognitive core by @rei_labs (in stealth) and @EclipticaOS built on Rei Core 0.4 API Performance over January - today (2nd of Feb) of @EclipticaOS's autonomous cross-platform AI traders

this guy gets it. feels like we're primed to move away from attention plays like moltbook, ralph, and gas and move towards finding the real crypto x ai unlock probably something along the lines of agentic trading or a self-sustaining economy. perhaps tech isnt there yet, but think we'll see some interesting attempts at figuring this out on base

@HyperliquidX hyperliquid

Since last week, HIP-3 markets reached new all-time highs of $1B in open interest and $4.8B in 24-hour volume.

@0xreisearch 👀

Agent economy needs a verification and ownership system. We forecasted that 1 year ago with ERCData, we improved it and now we made it available for all your clawkers. ercdata.dev

@rei_labs grei

Units are universally agentic. Your Unit can now be integrated with most tools that support custom model providers, including Cursor, Codex CLI, VS Code, and more. Here's Codex CLI setup in 30 seconds

@consom888 @rei_labs @ReneCureuil @0xreisearch let him cook

@rei_labs @ReneCureuil Let @0xreisearch cook 👾