Molecule
@molecule
AI agents, powered by large language models (LLMs), are transforming scientific research by helping scientists navigate vast literature, generate insights, and collaborate more efficiently. Here’s how 🧵👇
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Molecule
@molecule
Every year, millions of scientific papers are published, making it hard to keep up with new research. These tools let scientists focus more on research and less on information retrieval.
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Molecule
@molecule
AI agents help by: • Scraping & summarizing literature: Tools like Elicit extract key findings, making research easier to digest • Connecting related studies: AI models like ResearchRabbit suggest relevant papers to deepen insights
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Molecule
@molecule
But AI does more than just find information - it also helps generate new ideas. •Automating hypothesis generation: Google AI's recently launched "AI Co-Scientist" suggests new research directions by analyzing existing literature. https://warpcast.com/fahimintech/0x3d492a5a
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Molecule
@molecule
More locally, AI agents are also transforming DeSci! They promote transparency and democratize access to knowledge, ensuring research findings are open and available to everyone, not hidden behind paywalls.
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Molecule
@molecule
How do AI agents achieve these in DeSci ecosystem? • Building open knowledge graphs: AI agents like BeeARD AI scrape decentralized research and structure it into open-source knowledge graphs, already processing 19,000+ longevity papers to uncover trends.
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Molecule
@molecule
• Enabling decentralized curation: Platforms like HealthSci.AI help you build your own DeSci AI Agents, tailored to unique goals and needs • Supporting open-access publishing: AI-driven tools like Overleaf help structure articles for open journals, boosting accessibility
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Molecule
@molecule
As AI tools evolve, their impact on research will deepen, accelerating innovation in both traditional & decentralized ecosystems. Buckle up, it's a new era of invention.
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