BeeARDev

At @BeeARDai we built one of the first psychedelic science knowledge graphs: 2k+ foundational papers mapped into a structure that lets AI surface the hypotheses no one has ever asked (yet). With @psy_dao, we’re testing a new approach to funding: instead of reviewing proposals, we generate hypotheses aligned with the DAO’s mission and offer them up for scientists to pick up. This is a new kind of deal flow - proactive, generative, and grounded in research.

GraphSurfer is science democratized—built for explorers, thinkers, and the simply curious. It’s about empowering anyone to ask questions and make discoveries alongside powerful AI. No lab coat required. Enter the void here: graphsurfer.xyz/

Imagine navigating ideas like you explore cities on Google Maps. GraphSurfer shows how psychedelic research connects, revealing hidden paths and surprising insights—your gateway to science's inner workings. More here: graphsurfer.xyz/

Science shouldn't feel like homework. Explore research like surfing waves, discovering connections as easily as finding your new favorite song. That's GraphSurfer—turning scientific discovery into play. graphsurfer.xyz/

GraphSurfer’s First Wave is Here! We’re dropping an exclusive beta release for BeeARD and PsyDAO communities — a first chance to catch the science wave before anyone else. Think of it as a science playground where learning feels like a game: explore the scientific world model, connect ideas, and surf! We’re gathering feedback. Come ride the wave with us: graphsurfer.xyz/ All details in BeeARD's TG group and in @psy_dao discord server in $PSY token gated channel psy-hodlers.

Ever wondered how to safely vibe code? In this post, @kwiscion_ walks you through the approach we've adopted for pair programming with AI. This is the first post in our series on Responsible Vibe Coding (RVC). Buckle up! docs.beeard.ai/blog/responsi…

at BeeARD, we're inspired by the bee — nature's symbol of collaboration, precision, and tireless creation. Today, on World Bee Day, we're thrilled to share something new we've been working on — a step forward in the way we explore agentic science. last weeks we've been working on something special that's about to make science exploration as thrilling as surfing the perfect wave. We're excited to introduce you to GraphSurfer. Have you ever felt that rush when everything suddenly connects? That "aha!" scientist moment? It's like catching the perfect wave! Our interactive web app transforms science from textbook boredom into an ocean of exploration. connect with the hive mind, navigate research pathways, uncover surprising relationships, and earn rewards. Science isn't just for lab coats anymore – from casual surfers to deep-sea explorers, everyone's welcome in these waters. GraphSurfer is coming still this month, check it out here: graphsurfer.xyz/

I think you guys meant: "The era of agentic science is here", no? Check here for correct spelling: beeard.ai/

We've rolled out a new multi-agent system for @BeeARDai account that transforms insights from our knowledge graph into a narrative. Each tweet telling the story of its journey through the graph. From a technical point of view, the process works as a loop: • A first-pass agent (Narrator) drafts the tweet based on a relevant subgraph • A refinement agent (Polisher) enhances clarity, tone, and engagement • A verification agent (Fact Checker) checks factual accuracy using external sources, either accepting the draft or returning feedback for correction • A consistency agent (Flow Keeper) ensures logical coherence, approving the tweet or flagging issues for revision If a tweet is flagged, it loops back for revision until it meets the standard. This is an ongoing process. Our knowledge graph is continuously improving, and what appears on Twitter is just a glimpse of a much deeper system at work.

alongside a fresh new branding, our twitter agent’s backend is also evolving. we are now integrating it with our World Model. this allows the agent to traverse, reflect, and journal its journeys through the graph. now, the agent explores subgraphs, contemplates key topics, and records its insights. but beyond that, it plays crucial roles in our project: • curation – critically analyzes subgraphs, refining them through cleaning, merging nodes, and pruning • monitoring and reporting – assesses and documents knowledge graph quality as it evolves • data generation – produces new knowledge for our graph and a custom dataset to fine-tune our own model the agent is not just navigating the graph—it is shaping it.