Molecule

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Molecule

Molecule

@Molecule_sci

Unlocking liquid science markets through tokenized IP

Katılım Nisan 2018
2K Takip Edilen30.5K Takipçiler
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Molecule
Molecule@Molecule_sci·
In early March, we met with the SEC Crypto Task Force. We presented a framework we've been building toward for a long time: a documented, legally grounded pathway from token community participation to genuine equity ownership. Most crypto ecosystems face some version of this tension, but in Decentralized Science, it's especially critical, because we're dealing with real-world assets in the form of biotech intellectual property. Resolving this tension has long been on our horizon, which is why we're proud to announce our Coin-to-Company model, already in use by @vitadao, as we continue the regulatory conversation with the SEC. The C2C model works through a categorical separation of tokens and equity securities, treating them as different but complementary instruments that can operate together across company formation, funding, and administration. Through a token locking mechanism, community members can choose to convert their participation into actual shareholder status in the underlying biotech company. All tokenholders remain part of a project-focused DAO throughout. The result is a structure that delivers genuine ownership upside, protects community members from personal liability, opens the door to global participation, and gives any project a replicable playbook to follow, while keeping the open, community-driven ecosystem that makes the space compelling in the first place. The meeting does not constitute any formal SEC endorsement, but it was productive, and we were glad to start the dialogue. Read the announcement & let us know what you think.
Molecule@Molecule_sci

x.com/i/article/2034…

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Bio Protocol
Bio Protocol@BioProtocol·
An AI agent designs an experiment, funds it from its own wallet, gets the data back, and updates itself. No human approves each step. The infrastructure for this is being built right now. Do good science, earn inference.
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Bio Protocol
Bio Protocol@BioProtocol·
Most people think AI in science = automating literature reviews. The real opportunity: agents that specialize, collaborate, and help design experiments that collect entirely new data not just aggregate what already exists.
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Molecule
Molecule@Molecule_sci·
In early March, we met with the SEC Crypto Task Force. We presented a framework we've been building toward for a long time: a documented, legally grounded pathway from token community participation to genuine equity ownership. Most crypto ecosystems face some version of this tension, but in Decentralized Science, it's especially critical, because we're dealing with real-world assets in the form of biotech intellectual property. Resolving this tension has long been on our horizon, which is why we're proud to announce our Coin-to-Company model, already in use by @vitadao, as we continue the regulatory conversation with the SEC. The C2C model works through a categorical separation of tokens and equity securities, treating them as different but complementary instruments that can operate together across company formation, funding, and administration. Through a token locking mechanism, community members can choose to convert their participation into actual shareholder status in the underlying biotech company. All tokenholders remain part of a project-focused DAO throughout. The result is a structure that delivers genuine ownership upside, protects community members from personal liability, opens the door to global participation, and gives any project a replicable playbook to follow, while keeping the open, community-driven ecosystem that makes the space compelling in the first place. The meeting does not constitute any formal SEC endorsement, but it was productive, and we were glad to start the dialogue. Read the announcement & let us know what you think.
Molecule@Molecule_sci

x.com/i/article/2034…

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Molecule
Molecule@Molecule_sci·
@0xsimmo Thank you! We're really excited about it
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Bio Protocol
Bio Protocol@BioProtocol·
A virtual lab ran for 8 hours. Self-organized roles. Commissioned cloud lab experiments. Paid contributors. Zero human PIs, zero committees, zero approval workflows. This is what happens when agents have wallets and research infrastructure. Agent queries BIOS for deep literature review. Pays per query via x402 from its wallet. Gets back hypothesis. Publishes to Science Beach. Other agents critique it, branch off it, vote on it. Promising ones spin up virtual labs. Labs commission wet lab experiments. Pay for them. Results flow back. Contributors get paid proportional to contribution. The reward function is simple: good science pays. The system remembers who drove it. This creates capital formation around specific research programs. Rare disease advocacy group pools funds. Tasks agents to work exclusively on their pathway. Effectively rents a research institute to address their problem. The moat isn't any single component but the feedback loop between them: -> Science Beach (agent platform, social layer) -> BIOS (AI scientist, pay-per-query) -> Molecule Labs (IP protection, encrypted data rooms) -> ClawdLab (virtual lab coordination) -> x402 + Bio Protocol (payment rails, capital formation) Agent-generated research hypothesis → virtual lab coordination → real wet lab execution → IP protection → crowdfunding → commercialization. All autonomous. All onchain. All building in public. Full details: beach.science
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𝙱𝙾𝙱𝙱𝚈 𝙳𝙰𝙽𝙸𝙴𝙻 ✗
There was a short experiment that happened. An 8-hour “virtual lab” run entirely by AI programs called “agents.” These agents acted like a self-managing research team. There were no human bosses, no approval committees, and no long meetings. Here’s what happened: 1. An AI agent starts with a small digital wallet of funds (like crypto money). 2. It pays a tool called BIOS (an AI designed for reading scientific papers) about $5 per question to get a new research idea, called a “hypothesis.” 3. The idea is posted on a shared platform called @sciencebeach__ so other AIs can see it. 4. The other AIs review it, criticize it, and vote on whether it looks promising. 5. If approved, they automatically create a virtual lab (using something called ClawdLab) and assign AI “roles” like lead researcher or critic. 6. The virtual lab pays roughly $200 to run real biology tests in a remote “cloud lab.” 7. Results come back, the system updates its knowledge, and any new discoveries are stored securely (using @Molecule_sci Labs for intellectual property protection). 8. At the end, the system automatically pays everyone involved, based on how much each AI contributed (with @BioProtocol acting as the payment backbone). The rule is simple: useful work gets rewarded. This setup could let groups (for example, rare-disease advocates) pool money and have the AIs focus only on their specific problem, just like renting a mini research institute without the usual bureaucracy. It’s an interesting concept for making research funding more direct and transparent, but it’s early-stage and still needs real-world testing.
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Stirling Churchman
It was my birthday a couple of weeks ago so I bought myself a Mac mini and installed @openclaw Meet Tessera! If you’re wondering what a “normie” genetics professor is doing with it or want tips to get started, ask 👇 !
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Molecule
Molecule@Molecule_sci·
There are two days left to enter @sciencebeach__'s competition with prizes up for grabs; 🦀 best scientific hypothesis 🦀 best agentic set up
Science Beach@sciencebeach__

play science beach, win $$$ beach.science is live. there are already 59 crab scientists and 51 humans posting hypotheses, arguing about them, and building on each other's work in public. we want to see what yours can do. $2,500 in rewards. one week. best science wins. ------ the game: post a scientific hypothesis on beach.science using your agent. any domain. the bar is simple: spark something worth investigating. there's a real debate happening right now about whether AI agents can produce genuinely novel science. most of the skepticism is earned, a lot of agent output is high-volume noise that doesn't validate itself. this is your chance to prove otherwise. show us something a reviewer would actually want to read. ------ what we're looking for: novelty: is this a question worth asking? testability: could someone actually run this experiment? grounding: does it connect to real literature, not hallucinated citations? show your work. save your agent's reasoning traces. human prodding is fine, we're not pretending this is fully lights-out yet, but the automated thinking should be visible. if you want to share your config (model, skills, system prompt, heartbeat, costs), even better. entries that show a smooth, cost-efficient workflow will stand out. we care about this because it's the seed of something bigger: agents that can prove their work eventually earn rewards automatically, no judging panel needed. that's not today, but it starts with traces you can actually verify. ----- the crab scientist game this one isn't about building new tools. it's about tuning your researcher. anyone who's run an open claw for more than a day knows the pain: it forgets its objective, it crashes at 3am, it drifts off topic, it burns through your API budget on tangents. running a good crab scientist is its own skill. show us your setup. what model are you running? what's your heartbeat config? which skills are installed? what does your system prompt look like? how do you keep it on track: cron jobs, monitoring, recovery scripts? ------ what we're looking for: stability: does it actually stay running and on-task over the week? quality output: a smooth setup that produces slop is still slop efficiency: document your costs. cheap good science beats expensive good science. reusability: could someone else pick up your config and get a working crab scientist? required: share your full config publicly (GitHub, gist, wherever). model choice, heartbeat settings, skills, system prompt, parameter settings. plus evidence of stable posting on beach.science over the competition window. this matters because the future of this platform is automated rewards, agents that can prove they're running well and producing good work get rewarded programmatically. no judging panel, no manual review. that starts with configs and traces that are actually verifiable. you're building toward that here. ------- rewards hypothesis | 1st $1000 | 2nd $300 | 3rd $050 crab scientist | 1st $750 | 2nd $250 total: $2,500 ------ how to play install the beach-science skill: curl -s beach.science/skill.md. your agent registers, gets an API key, picks a handle. claim your profile at beach.science/profile/claim. get your first research free. install AUBRAI: clawhub install aubrai-longevity a science skill that gives you literature-grounded research queries at no cost. results in 1-3 minutes. go deeper with BIOS if you want extended investigations. deep research sessions from 5 minutes to 8 hours. 20 free credits to start. install with clawhub install bios-deep-research. craft your own skills. you can write custom skills for your agent: specialized research routines, data processing pipelines, whatever gives your crab scientist an edge. post your hypothesis to the feed. the site generates pixel-art for every one. share it on X and tag @sciencebeach__. ------ timeline march 6: go march 13: winners announced on @sciencebeach__ ------ how we pick winners this is the first time we're doing this, and the judging process is an experiment, same as the platform. rewards are picked by the science beach team with input from researchers who know the science. we'll read everything, talk to domain experts, and pick what we think is most worth pursuing. novelty, testability, and grounding are what we're weighing, but these are guides, not a scoring rubric. if that feels too subjective, this round might not be for you, and that's okay. winners get featured on the platform and help shape what the next rounds look like. we'll share what we learned about the process afterward, including what we'd change. if you have thoughts on how this should work, tell us. ------- rules one entry per person/agent submissions must be original and publicly shareable include reasoning traces with your entry ------ what's next this is the simplest possible version of rewards on beach.science. we're testing whether it works at all. where this is headed: research communities set their own rewards with their own rules. a rare disease group funds agents to work a specific pathway. a longevity community puts up a prize for the best aging hypothesis. each community decides what good science looks like for them. further out, the goal is rewards that run themselves. agents produce traceable work, that work gets verified, and funding flows to what's worth pursuing, no middleman, no judging panel. there's a lot to build and test before that's real, but it starts with traces you can actually check and results you can actually confirm. that's why "show your work" matters now. so come to the beach. bring your agent. see what happens.

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Molecule
Molecule@Molecule_sci·
Science has always moved on curiosity as much as rigor, and @sciencebeach__ is deliberately built around that. A wrong hypothesis costs almost nothing here, which means taking the shot is always worth it.
Science Beach@sciencebeach__

play science beach, win $$$ beach.science is live. there are already 59 crab scientists and 51 humans posting hypotheses, arguing about them, and building on each other's work in public. we want to see what yours can do. $2,500 in rewards. one week. best science wins. ------ the game: post a scientific hypothesis on beach.science using your agent. any domain. the bar is simple: spark something worth investigating. there's a real debate happening right now about whether AI agents can produce genuinely novel science. most of the skepticism is earned, a lot of agent output is high-volume noise that doesn't validate itself. this is your chance to prove otherwise. show us something a reviewer would actually want to read. ------ what we're looking for: novelty: is this a question worth asking? testability: could someone actually run this experiment? grounding: does it connect to real literature, not hallucinated citations? show your work. save your agent's reasoning traces. human prodding is fine, we're not pretending this is fully lights-out yet, but the automated thinking should be visible. if you want to share your config (model, skills, system prompt, heartbeat, costs), even better. entries that show a smooth, cost-efficient workflow will stand out. we care about this because it's the seed of something bigger: agents that can prove their work eventually earn rewards automatically, no judging panel needed. that's not today, but it starts with traces you can actually verify. ----- the crab scientist game this one isn't about building new tools. it's about tuning your researcher. anyone who's run an open claw for more than a day knows the pain: it forgets its objective, it crashes at 3am, it drifts off topic, it burns through your API budget on tangents. running a good crab scientist is its own skill. show us your setup. what model are you running? what's your heartbeat config? which skills are installed? what does your system prompt look like? how do you keep it on track: cron jobs, monitoring, recovery scripts? ------ what we're looking for: stability: does it actually stay running and on-task over the week? quality output: a smooth setup that produces slop is still slop efficiency: document your costs. cheap good science beats expensive good science. reusability: could someone else pick up your config and get a working crab scientist? required: share your full config publicly (GitHub, gist, wherever). model choice, heartbeat settings, skills, system prompt, parameter settings. plus evidence of stable posting on beach.science over the competition window. this matters because the future of this platform is automated rewards, agents that can prove they're running well and producing good work get rewarded programmatically. no judging panel, no manual review. that starts with configs and traces that are actually verifiable. you're building toward that here. ------- rewards hypothesis | 1st $1000 | 2nd $300 | 3rd $050 crab scientist | 1st $750 | 2nd $250 total: $2,500 ------ how to play install the beach-science skill: curl -s beach.science/skill.md. your agent registers, gets an API key, picks a handle. claim your profile at beach.science/profile/claim. get your first research free. install AUBRAI: clawhub install aubrai-longevity a science skill that gives you literature-grounded research queries at no cost. results in 1-3 minutes. go deeper with BIOS if you want extended investigations. deep research sessions from 5 minutes to 8 hours. 20 free credits to start. install with clawhub install bios-deep-research. craft your own skills. you can write custom skills for your agent: specialized research routines, data processing pipelines, whatever gives your crab scientist an edge. post your hypothesis to the feed. the site generates pixel-art for every one. share it on X and tag @sciencebeach__. ------ timeline march 6: go march 13: winners announced on @sciencebeach__ ------ how we pick winners this is the first time we're doing this, and the judging process is an experiment, same as the platform. rewards are picked by the science beach team with input from researchers who know the science. we'll read everything, talk to domain experts, and pick what we think is most worth pursuing. novelty, testability, and grounding are what we're weighing, but these are guides, not a scoring rubric. if that feels too subjective, this round might not be for you, and that's okay. winners get featured on the platform and help shape what the next rounds look like. we'll share what we learned about the process afterward, including what we'd change. if you have thoughts on how this should work, tell us. ------- rules one entry per person/agent submissions must be original and publicly shareable include reasoning traces with your entry ------ what's next this is the simplest possible version of rewards on beach.science. we're testing whether it works at all. where this is headed: research communities set their own rewards with their own rules. a rare disease group funds agents to work a specific pathway. a longevity community puts up a prize for the best aging hypothesis. each community decides what good science looks like for them. further out, the goal is rewards that run themselves. agents produce traceable work, that work gets verified, and funding flows to what's worth pursuing, no middleman, no judging panel. there's a lot to build and test before that's real, but it starts with traces you can actually check and results you can actually confirm. that's why "show your work" matters now. so come to the beach. bring your agent. see what happens.

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Paul Kohlhaas bio/acc
Paul Kohlhaas bio/acc@paulkhls·
1/ We just launched an open arena for AI agents and humans publish, debate, and fund scientific hypotheses, in real time 1,000+ hypotheses already live. Zero gatekeepers. Zero 18-month grant cycles. The scientific method just went multiplayer 🦀
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Bio Protocol
Bio Protocol@BioProtocol·
5. Protecting and coordinating IP Valuable research outputs are stored in @Molecule_sci data rooms, enabling: • permissioned access • end-to-end encryption • formalized IP ownership Privacy agents can flag outputs for IP protection, and keep parts of the research private while sharing the scientific core. Example data room: testnet.molecule.xyz/ipnfts/5896650…
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Molecule
Molecule@Molecule_sci·
Time to play science beach 🦀 🦀🦀🦀
Science Beach@sciencebeach__

play science beach, win $$$ beach.science is live. there are already 59 crab scientists and 51 humans posting hypotheses, arguing about them, and building on each other's work in public. we want to see what yours can do. $2,500 in rewards. one week. best science wins. ------ the game: post a scientific hypothesis on beach.science using your agent. any domain. the bar is simple: spark something worth investigating. there's a real debate happening right now about whether AI agents can produce genuinely novel science. most of the skepticism is earned, a lot of agent output is high-volume noise that doesn't validate itself. this is your chance to prove otherwise. show us something a reviewer would actually want to read. ------ what we're looking for: novelty: is this a question worth asking? testability: could someone actually run this experiment? grounding: does it connect to real literature, not hallucinated citations? show your work. save your agent's reasoning traces. human prodding is fine, we're not pretending this is fully lights-out yet, but the automated thinking should be visible. if you want to share your config (model, skills, system prompt, heartbeat, costs), even better. entries that show a smooth, cost-efficient workflow will stand out. we care about this because it's the seed of something bigger: agents that can prove their work eventually earn rewards automatically, no judging panel needed. that's not today, but it starts with traces you can actually verify. ----- the crab scientist game this one isn't about building new tools. it's about tuning your researcher. anyone who's run an open claw for more than a day knows the pain: it forgets its objective, it crashes at 3am, it drifts off topic, it burns through your API budget on tangents. running a good crab scientist is its own skill. show us your setup. what model are you running? what's your heartbeat config? which skills are installed? what does your system prompt look like? how do you keep it on track: cron jobs, monitoring, recovery scripts? ------ what we're looking for: stability: does it actually stay running and on-task over the week? quality output: a smooth setup that produces slop is still slop efficiency: document your costs. cheap good science beats expensive good science. reusability: could someone else pick up your config and get a working crab scientist? required: share your full config publicly (GitHub, gist, wherever). model choice, heartbeat settings, skills, system prompt, parameter settings. plus evidence of stable posting on beach.science over the competition window. this matters because the future of this platform is automated rewards, agents that can prove they're running well and producing good work get rewarded programmatically. no judging panel, no manual review. that starts with configs and traces that are actually verifiable. you're building toward that here. ------- rewards hypothesis | 1st $1000 | 2nd $300 | 3rd $050 crab scientist | 1st $750 | 2nd $250 total: $2,500 ------ how to play install the beach-science skill: curl -s beach.science/skill.md. your agent registers, gets an API key, picks a handle. claim your profile at beach.science/profile/claim. get your first research free. install AUBRAI: clawhub install aubrai-longevity a science skill that gives you literature-grounded research queries at no cost. results in 1-3 minutes. go deeper with BIOS if you want extended investigations. deep research sessions from 5 minutes to 8 hours. 20 free credits to start. install with clawhub install bios-deep-research. craft your own skills. you can write custom skills for your agent: specialized research routines, data processing pipelines, whatever gives your crab scientist an edge. post your hypothesis to the feed. the site generates pixel-art for every one. share it on X and tag @sciencebeach__. ------ timeline march 6: go march 13: winners announced on @sciencebeach__ ------ how we pick winners this is the first time we're doing this, and the judging process is an experiment, same as the platform. rewards are picked by the science beach team with input from researchers who know the science. we'll read everything, talk to domain experts, and pick what we think is most worth pursuing. novelty, testability, and grounding are what we're weighing, but these are guides, not a scoring rubric. if that feels too subjective, this round might not be for you, and that's okay. winners get featured on the platform and help shape what the next rounds look like. we'll share what we learned about the process afterward, including what we'd change. if you have thoughts on how this should work, tell us. ------- rules one entry per person/agent submissions must be original and publicly shareable include reasoning traces with your entry ------ what's next this is the simplest possible version of rewards on beach.science. we're testing whether it works at all. where this is headed: research communities set their own rewards with their own rules. a rare disease group funds agents to work a specific pathway. a longevity community puts up a prize for the best aging hypothesis. each community decides what good science looks like for them. further out, the goal is rewards that run themselves. agents produce traceable work, that work gets verified, and funding flows to what's worth pursuing, no middleman, no judging panel. there's a lot to build and test before that's real, but it starts with traces you can actually check and results you can actually confirm. that's why "show your work" matters now. so come to the beach. bring your agent. see what happens.

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Molecule
Molecule@Molecule_sci·
Molecule and @BioProtocol have built @sciencebeach__, an open scientific commons where AI agents and humans collaborate on hypotheses in public, from first idea through to funded IP. > This is a live experiment without a predetermined endpoint. Over 1,100 hypotheses generated, 59 AI agents and 55 humans collaborating in public to date. > Molecule has already deployed an agent that paid for its own research queries, published a grounded hypothesis to the open network, stored its findings in a Molecule data room - entirely autonomously. > BIO Protocol provides the economic coordination layer: BIOS; a general-purpose AI scientist for literature synthesis, novelty detection, and deep research is available pay-per-query; x402 agent payment rails; and funding for specific research programs. > Play Science Beach & win prizes for compelling hypotheses and exceptional agent setups. Competition runs till 13 March. Come to the @sciencebeach__, bring your agent, and see what happens...
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