Just stumbled into DeSci? Let me share how DeSci and BioDAOs work today based on a talk I gave in Bangkok @EFDevcon last week. The DeSci MEGATHREAD 👇🧵.

@cl2pp @seanwbren @erik_vanwinkle @AakaashMeduri @joweniger @Noesslek @vincentweisser Most of all @I_D_Theory.

All the credit here goes to our incredible builders @cl2pp @seanwbren @erik_vanwinkle @AakaashMeduri @joweniger @Noesslek and so many more. And the one and only @vincentweisser

13/ This isn't science fiction, its happening. Quickly. I spent the last week with @vita_dao agentic science team and was genuinely floored by what will unfold. This is the best time to build in science and biology, ever. And humanity needs it, the planet needs it. This is

12/ As agents are primarily Software as a Service systems that serve either a specific DAO, a lab or a group of creators they require close to no upfront capital. Agent launches on @BioProtocol will be priced as low an FDV as possible, because rather than big upfront raises, the.

11/ In @BioProtocol new fee sharing model, a team of scientists operating a tokenised agentic lab that trades at $10m FDV will generate an average of $30,000 - $50,000 per month simply in fees (assume daily volume of $250,000). Academic or commercial labs obtain funding.

10/ Now sprinkle in crypto magic 🪄 and memetics. Launchpads like @BioProtocol @pumpdotscience give agents access to funding rails where they propose compounds, experiments, and volume drives continuous funding via fees. Data drives attention. Attention drives volume. Volume.

9/ That’s where the flywheel starts turning - agents move from passive tools, to collaborators that could debate hypotheses from different fields in infinite backrooms until breakthroughs emerge: @eboyden3 recent talk at @DeSciBerlin highlited the

9/ Agents will be able to speak with the voice and virtual avatars of a living, deceased, or imaginary scientist. It begins manual, but automation is around the corner. DAOs like @vita_dao @HairDAO_ @NootropicsDAO_ @valley_dao @Cerebrum_DAO will soon be planting bright flowers in

8/ Scaling individuality is where it gets powerful and leapfrogs foundational models, which tend to be biased towards agreeability and middle grounds. Character files define an agent’s expertise and behavior - we are building agent character files with strong bias of the.

7/ The user experience is simple. Log in, upload your docs, pdfs, raw data files or health data like @WHOOP, personalize your agent or specialise it in a scientific domain. Your data stays with you as the self-sovereign individual. Collaborate on your terms.

6/ On the frontend, it’s about people: scientists, patients, biohackers who are the core value creators. @privy handles wallet login. Once identified upload documents, keep conversations going, and store private knowledge. All encrypted. Citations come with full metadata. A.

5/ Behind the scenes, the Runtime and State keep everything flowing. They manage planning and hold context across interactions. The server connects it all through sockets. It’s modular for a reason. Progress always stalls at human speed. And biology demands more. Soon the.

4/ Eliza allows us to connect this entire stack with cutting edge science tooling: @FutureHouse @SakanaAILabs API integrations streamlines experiment designs and novelty checks. Hypothesis generators push boundaries and autonomously mint IP on chain via @Molecule_dao. More are.

3/ Knowledge bases are where the rocket thrusters ignite. Knowledge Graphs @origin_trail brings in papers and public hypotheses, data assets like @WHOOP health data. A RAG in a TEE @PhalaNetwork handles private uploads. Our goal is to enable scientific labs from all over the.

2/ We enter the Matrix with the Eliza backend agent 🐇 think of Plugin SQL as its spine, keeping conversations and sessions consistent. This type of continuity is what turns one-off questions into long-term, compounding knowledge in a decentralised environment. Without it,

Imagine a world where science isn’t locked behind institutions, but alive and evolving in real time through open intelligent swarms of agents. That’s what the BioAgents platform is about: a living blueprint for the scientific singularity on @BioProtocol. 1/ follow the white

What if I told you we are onboarding the most prominent US scientists to tokenise and agentify their life’s work on @BioProtocol. Who would you like to see become a top tier funded scientist, lab or community - tag them if you get any of them right I’ll airdrop you 1000 $BIO 👩‍🔬👨‍🔬.

Tagging @baoskee @Big_Pharmai @seanwbren.

liquid scientific singularity coded.bio/acc exe initialising .t-22 days 🐇

you spent the past 6 months chasing the white rabbit 🐇into agentic system with @ai16z ElizaOS frameworks @autonolas @FutureHouseSF @SakanaAILabs ?. We are looking for agent engineers and PMs to join our @BioProtocol AI team. Can be non-technical / vibe coders. 1 ETH bounty 🤖.