4/ The game-changer: These Copilots understand . scientific causality. They don't just process text - they understand that Method A → Result B → Conclusion C. This causality awareness makes them invaluable research partners, not just writing assistants. 🔬✨.

3/ What AI4Science Copilots can do:. - Auto-generate experimental protocol drafts from literature.- Extract and structure methodologies from papers.- Identify critical variables for reproducibility.- Provide real-time experimental guidance.- Suggest protocol optimizations based.

2/ Traditional AI assistants: "Help me write an email." . Scientific AI Copilots: "Generate an experimental protocol for protein purification based on these 15 papers, ensure reproducib ility markers, and flag potential variables that could affect outcomes.".

🤖 The missing piece in scientific research: AI Copilots that actually understand the research process. Most AI tools are generic. Science needs specialized intelligence that understands protocols, methodologies, and research workflows. Thread on AI4Science Copilots 👇 1/4 🧵

Slaying the Sybil Dragon in Scientific DAOs. 💣 Attack: 1,000 fake accounts flood a DAO-led medical trial.→ Result: corrupted votes, faked consensus.⚔️ Hetu’s Defense:.SocialKey reputation scores + DAOScript permissions.📈 In testing: Blocked over 2,000 Sybil attacks with zero.

Science’s “Black Box” Problem = Dead Research. 🤔 Can’t prove if Model A’s output relied on Dataset B?.This destroys reproducibility. 🔍 Hetu’s Solution: DKG (Distributed Knowledge Graph) reveals causal chains.🦠 Demo: Trace COVID AI model outputs back to the original CT scans

RT @hetu_protocol: 🌱 How we scale Model Cities:. ✅ Standard DAO templates.✅ Task-bond funding modules.✅ Joint Launch Sprints (DeSci hackath….

RT @hetu_protocol: 🌐 Introducing Model Cities: The future of decentralized science is here!. A global network of modular, self-governing “M….

RT @hetu_protocol: Hi, Hetu Model Cities🥳

RT @hetu_protocol: 1/ Hetu Protocol is building the backbone of decentralized AI + science. In the past 2 weeks, we launched our multi-subn….

Why 99% of DeSci Projects Fail. ☠️ Fatal flaw: Anonymous, unverifiable data kills trust. → In 2022, Science DAO and other early DeSci efforts faced backlash due to lack of reproducibility and data transparency. One DAO nearly lost $2M in a longevity trial where datasets couldn't

5/: Research needs more than citations. With @advaita_labs , DeepProve brings tamper-proof attribution to every contribution—secure, transparent, and built for scale.

4/5: Health workers in rural areas labeled tens of thousands of mosquito images. → The data supported training of detection models.→ Workers earned significantly more than local averages. This shows how platforms like HETU can unlock new value without charity or extraction.

3/: Proof of Causal Work (PoCW). PoCW introduced by @advaita_labs to fund impact-driven science:.✅ Tracks downstream impact (e.g. citations, reuse).✅ Converts it into token rewards.✅ Treasury + impact DAOs fund the workFinally, incentives for the science markets ignore.

2: Why Capitalism Ignores It. Traditional systems reward ROI in dollars, not lives. No data buyers → no compensation.No credit → no career advancement.High effort → near-zero visibility. The market isn’t broken—it’s just blind to human need.

Rescuing “Unprofitable” Science. 1/: The Long-Tail Crisis.Tropical disease research could save 500,000 lives per year. But with zero market value (no wealthy customers),.→ most labs abandon the work. This isn’t inefficiency—.it’s a market failure.

4/.Clout + CIP = programmable influence. Apps can plug into the Causality Improvement Protocol to build with real-time behavioral data. Your actions become data →.Your data becomes identity →.Your identity earns real value. Let’s build the influence economy. 🧱.

3/ .Trades are captured by CIP nodes. Our middleware verifies onchain events and sends signals back to the protocol. This enables powerful use cases:.🔹 Model training from user behavior.🔹 App-based token rewards.🔹 DID identity from user footprints.

2/.- All trades — whether in-app or on Uniswap — happen onchain. - Clout ensures full decentralization and transparency from day one. No shadow databases. Every transaction is verifiable.

Introducing Clout, a subnet that turns social influence into tokens. ✅ Twitter-verified creators can launch tokens in an internal market.✅ Raise capital from early supporters.✅ Auto-launch on Uniswap once criteria are met.Your clout becomes capital.