Advaita Research
@advaita_labs
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Science of Consensus #ResearchAsCivilization Jam with researchers https://t.co/z58KGBFNQT Building on @hetu_protocol
https://t.me/hetubuilders
Joined October 2023
#ScienceOfConsensus Recent LLM advances keep pushing reasoning forward — but they expose a deeper structural limit: a solitary model, no matter how strong, cannot reliably solve the hardest reasoning problems. Difficult math, compositional logic, open-ended analysis — these
🚀 Launching DeepSeek-V3.2 & DeepSeek-V3.2-Speciale — Reasoning-first models built for agents! 🔹 DeepSeek-V3.2: Official successor to V3.2-Exp. Now live on App, Web & API. 🔹 DeepSeek-V3.2-Speciale: Pushing the boundaries of reasoning capabilities. API-only for now. 📄 Tech
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In the name of the #ScienceOfConsensus — after years assembling a frontier research team — we enter a new era: #ResearchAsCivilization Upgrading to Advaita Research means building the substrate where- consensus generates intelligence, intelligence generates science, and science
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#DeepIntelligenceMoney - In the name of Proof of Causal Work, we wish you a semantic aligned Thanksgiving 🍁
🍂Thanksgiving Dinner Survival Guide - Hetu Edition @hetu_protocol Wishing y'all low latency, zero MEV at the dinner table, and a smooth finality for all conversations today. 🧡 In case your dinner table turns into an impromptu L2 conference or someone asks you to explain
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#DeepIntelligenceMoney - “A balance sheet for intelligence” DeSci on Hetu 1/ Zoom out: civilization has a design bug. We reward expenditure, not contribution. Budgets spent, energy burned, time consumed → all monetizable. But the things that actually move science forward —
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Sticks explains ..
🧍♂️🔥 New series: #CausalComicHetu We explain Hetu concepts with matchstick figures — simple, causal, visual. Ep.1: Deep Intelligence Money → How AI work turns into sustainable capital 💰🤖
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Technical Problem Focus ❌ Why can't a climate scientist easily use a biomedical AI model to study environmental health impacts? Technical incompatibility, inconsistent standards, and zero interoperability. The fragmentation problem is killing innovation. Thread 👇 1/4 🧵
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3/ @advaita_labs' solution: Our causality-driven system ensures every contribution - no matter how niche - gets proportional rewards based on downstream impact. Rare disease research becomes financially sustainable. Science wins, humanity wins. 🔬✨
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2/3 The "Long-Tail Paradox": High societal value contributions (like tropical disease research data) are systematically undervalued by traditional markets. Brilliant researchers abandon critical work because they can't make a living from it.
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Real-World Problem Example 1/3 🏥 Real scenario happening right now: Thousands of rare disease patients voluntarily provide genetic data → AI model trained → Generates millions in revenue → Patients receive nothing This is the broken value chain we're fixing.
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🚀 Hetu: The No.1 decentralized intelligence market on Ethereum Hetu bridges Ethereum liquidity with the AI economy, turning intelligence into capital. Financing open-source AIs and utility-driven agents with programmable, verifiable money. 💡 3-Money Stack (Hetu 3.0): a
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🚀 Akasha Sala NFT — Launching on 13:00 Oct 1st, 2025 GMT+8 Akasha DAO is a community built on philosophy, entrepreneurship & global resources. Our NFT Pass is the only ticket to join this on-chain civilization. 🔑 2 Core Tracks · Limited Supply ✨ Akasha Seed Club — for
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🚀 Layer 4 - Integration: The user interface - Developer Dashboard: Build & deploy - Model-as-a-Service: Discover & use AI models - CVS/AVS: Decentralized compute/storage/verification From lab bench to production—all causality-verified.🔬 ⚡ Ready to build the future of
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🛠️ Layer 3 - Framework: The middleware that makes it work - AI Middleware: Agent-to-agent communication - Audit Governance: Real-time compliance monitoring - Social Engagement APIs: Community building tools - Parallel Chain: High-concurrency consensus
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⚡ Layer 2 - Execution: Where science meets smart contracts - ModelGraph: AI lifecycle management - SocialGraph: Reputation & collaboration - DeGovernance: Community decisions Your contributions = your ownership stake in the scientific workflow.
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🧠 Layer 1 - Consensus: Proof of Causal Work + Decentralized Knowledge Graph Instead of burning energy for nothing, miners get rewarded for actual scientific work: - Contributing datasets - Training models - Validating research Science becomes the consensus mechanism.
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🏗️ We're building the world's first decentralized AI operating system for science. AI4SOS: 4 layers that turn scientific contributions into programmable value. Here's how we're rewiring science itself 👇 1/5 🧵
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The problems that keep scientists up at night ✅ Broken incentive systems excluding value creators ✅ Fragmented ecosystems preventing collaboration ✅ Attribution nightmares in complex AI workflows ✅ Technical barriers to cross-domain research
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