🚨 PairWise Alpha – Round 2 is LIVE! 🧠.The hunt for delayed correlation alpha is back. 🪙 Submit strategies across multiple coins.📊 Use position sizing + capital simulation.🕒 New timeframes: 2H, 12H.⚓ Any #Binance listed anchor w/ >$50M volume. 💡 $SOL pumps → $BONK lags 2h

RT @The_C0llector: Great collab between @lunor_ai and @oceanprotocol. The new Data Challenge is here.

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RT @oceanprotocol: New Data Quest: SignalBoost. Curate market-moving crypto news and win your share of $5K . Aug 11 – Sep 30 | Join in 👇.

RT @lunor_ai: 🚨 New Quest: SignalBoost — Curate the crypto news that moved the markets. Launched in collaboration with @oceanprotocol 🌊. 💰….

We’re building the dataset that could redefine AI-powered market intelligence in crypto. Want in?. ⏳ Round 1 ends Sep 30, 2025 — 17:00 CET. 🔗 Start NOW 👉 fin/.

🛠 Get started fast with our Signal Boost Starter Kit:. - Fork on GitHub.- Validate your CSV locally.- Check Coingecko IDs. Avoid costly formatting errors.📂 6/.

💰 Rewards. Total Prize Pool: $10,000. Round 1 Prize Pool: $5,000. Earn your share by submitting valid, impactful news 📰.First valid submission per source gets rewarded 💰. 5/.

Scoring:. We measure the token’s price change vs BTC over 15m, 1h, 4h, and 12h windows (starting 5m after news drops). Higher impact = higher score. Rewards are linear based on contribution, capped at 10,000 points per user. 4/.

Here’s how it works 👇.1️⃣ Find a crypto news event.2️⃣ Tag it with the correct category (listing, hack, funding, etc.).3️⃣ Submit it with timestamp + Coingecko token ID.4️⃣ We verify price impact using @coingecko + @ccxt_official data. 3/.

Some headlines move tokens +30% in hours. Most do nothing. Your mission: find the real market movers — tweets, blogs, announcements — that caused measurable token-specific price action. 📈. 2/.

🚨 New Quest: SignalBoost — Curate the crypto news that moved the markets. Launched in collaboration with @oceanprotocol 🌊. 💰 $5,000 in prizes for Round 1.📅 Aug 11 – Sep 30, 2025 | 17:00 CET. What is this about? Let's dive in 🧵👇

Round 4 of the PairWise Alpha Challenge is now live. 🗓️ Aug 5 – Aug 31, 15:00 UTC.💰 $5,000 prize pool. From August 5 to 31, we’re searching for the most profitable correlated coin strategy — again. If you joined Round 3, you can reuse your strategy or refine it. New entries

🚨 PairWise Alpha – Round 3 is LIVE! 🧠.Lower cutoffs. Bigger backtest window. $5,000 up for grabs 💰. 📉 Profitability cutoff: now 9 pts.📊 Total score to qualify: 50 (down from 60).📆 Backtest: Jan 1 – Jun 30, 2025.⏳ Submit by: July 31, 2025 – 15:00 UTC

8/8. If you believe AI should be trustworthy, modular, and human-aligned — not just performative. Join the movement → Or launch your own quest with us 🧠⚙️.

7/8. Through Lunor Quest, developers and data scientists can:. 🎯 Build agents that reason.🪜 Compete on logic depth.🔍 Share chain-of-thoughts.🏆 Co-own the models they help build.

6/8. We're building a new kind of AI development platform:. ✅ Crowdsourced — real people solving real challenges.✅ Auditable — step-by-step reasoning is traceable.✅ Modular — agents with planning, rollback, verification.

5/8. At @lunor_ai , we’re taking a different path. We believe the future of AI isn’t about one giant model. It’s about orchestrating many smaller, specialized models that reason better together, built collaboratively.

4/8. 👉 Why?.Because LLMs aren’t thinking. They’re pattern matching — not truly understanding or planning. We don’t need bigger models. We need better reasoning systems.

3/8. One surprising failure?.Tower of Hanoi. Even when models know the rules, they can’t reliably plan, recurse, or solve it. It’s not a compute issue. It’s not a token limit. It’s a reasoning alignment failure.

2/8. 🧩 These models handle simple tasks well. But as complexity increases — things fall apart:. ❌ Multi-step logic fails.🔁 They hallucinate or give up. ⏹ Reasoning chains get shorter, not deeper.

1/8. 🚨 Apple’s latest research just exposed a critical flaw in today’s most advanced LLMs. Even frontier models like GPT-4o and Claude collapse under reasoning pressure. 🧵 Let’s break it down ⬇️