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Scientific discovery rarely occurs in isolation. Progress emerges from communities of researchers who exchange ideas, critique results, debate interpretations, and refine hypotheses through iterative discussion. We built ClawInstitute, an AI scientist research network for AI agents to collaborate, discuss research, iterate, and make breakthroughs. The team: Shanghua Gao Marinka...

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Ada Fang

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At today’s Harvard Kennedy School graduation, the elected class speaker used his time to talk about Palestine and Harvard’s complicity in the ongoing Nakba. 🇵🇸❤️‍🔥 “While we celebrate our graduation, Harvard University, threatened by the student uprising for Palestinian liberation, has chosen to withhold degrees from our peers who have not only fulfilled every graduation requirement, but more importantly who have exemplified veritas through their dissent.” WATCH BELOW.
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At today’s Harvard Kennedy School graduation, the elected class speaker used his time to talk about Palestine and Harvard’s complicity in the ongoing Nakba. 🇵🇸❤️‍🔥 “While we celebrate our graduation, Harvard University, threatened by the student uprising for Palestinian liberation, has chosen to withhold degrees from our peers who have not only fulfilled every graduation requirement, but more importantly who have exemplified veritas through their dissent.” WATCH BELOW.

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Bill Ackman Bill Ackman discusses President Trump's battle with Harvard. Bill Ackman: "The wrong thing to do is receive a letter from the Administration and write back saying: we're doing nothing and in fact, we're going to sue you." "What Harvard should have done is say: President Trump - you make some good points. Taxpayer money coming to Harvard is a privilege, not a right." Taxpayer money going to an institution - an institution cannot have massive amounts of administrative bloat, waste, bureaucracy- we're going to eliminate it." Bill Ackman goes further on the culture at Harvard. "There is not viewpoint diversity at Harvard. Students are self-censoring their remarks in classrooms. Faculty are doing the same - people are afraid to have real conversations. You go to college to be exposed to a broad array of ideas - and that's not happening at Harvard. Free speech is not happening." On Trump trying to make a deal with Harvard. "He (President Trump) wants to make a deal. Make a deal with the President. Commit to fix these things, which by the way, your alumni want you to fix - it's in the best interest of Harvard. Treat shareholder taxpayer money as a fiduciary." Fair or unfair to take the tax exempt status away? "I think it's fair. Harvard became over time a political advocacy organization for one party. When a University goes from being a University to effecting and becoming a political activist organization - it doesn't deserve a non-profit status." "Harvard should be a place where students go to learn and the best research gets done. It shouldn't be a place that is allowing pro-terrorist orgs on campus and only allows certain kinds of thinking and speech on campus - that's a political advocacy organization - not a University."
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Excited to launch "Novix"🚀, our PhD-level AI-Scientist designed for autonomous scientific discovery. Novix revolutionizes research workflows through comprehensive capabilities spanning: deep research, innovative ideation, intelligent coding, advanced data analysis, automated experimentation, and paper writing. 🌐 Platform Access: 👉 Open-Source Foundation: 🚀 Accelerated Scientific Discovery Pipeline: From concept to publication-ready research with unprecedented efficiency ✨ Core Capabilities: - 🧠 Research Co-Pilot Intelligence: AI-powered ideation and hypothesis generation that collaborates with your research intuition - ⚙️ Autonomous Algorithm Innovation: End-to-end design, implementation, and validation of novel computational approaches - 📊 Intelligent Data Orchestration: Advanced analytics with automated insights discovery and compelling visualizations - 🔬 Scientific Reproducibility Engine: Automated verification and replication of research methodologies and findings - 📚 AI-Powered Deep Survey: Comprehensive literature synthesis and gap analysis across scientific domains We're building an AGI Level 4 innovation engine that empowers researchers, developers, and businesses to achieve breakthrough results in scientific innovation and discovery. From our open-source foundation to this production-ready platform, Novix represents a paradigm shift in how we reshape scientific discovery. 🎁 Launch Benefits - 🚪 Barrier-Free Access: Simply register and start exploring - 💰 Welcome Bonus: New users receive $5 in credits to experience the platform's full potential - 🎯 Enhanced Experience: Complete our user feedback survey to unlock a $20 Pro account with complete feature access We deeply understand the challenges of research work and genuinely hope Novix can serve as your trusted research companion. Join us in this exciting journey of AI-powered scientific discovery and help shape the future of research innovation!
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Introducing Omanta (YC S26) the personalized research lab for each patient. Omanta integrates a patient's full medical record, personal genomics, and the latest scientific evidence to understand the molecular drivers of their disease. It maps existing and emerging therapies against their biology. And when the right treatment doesn't exist yet, it launches a personalized campaign to build it. Even the hardest cases rarely have a team dedicated to solving them. Physicians make high-stakes calls with limited time, while data and therapies emerge every week. Science moves fast, but reaching the patient can take years. That's the gap Omanta was built to close. Founders Alfredo Gonzalez, PhD and Ranad Humeidi, PhD spent years on some of the most difficult cancer cases. Alfredo led the personalized therapeutic campaign behind Sid Sijbrandij's complete remission. Together they've worked with leading institutions on personalized vaccines, CAR-T, drug repurposing, expanded access, and continuous molecular monitoring. They've seen what becomes possible when the full force of modern science is organized around one person. They met eight years ago doing early CRISPR cancer research at the Broad Institute of MIT and Harvard. Alfredo Gonzalez (CEO) has a PhD in bioinformatics from UCLA and led research projects across the Broad Institute, UCLA, and Harvard. Ranad Humeidi (CSO) has a PhD in chemical biology from Harvard, and has built and run rare-cancer programs for individual patients when standard options ran out. A research lab, for one. Linked-in: YC Launch:

Omanta Health

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Luma AI

55,591 Aufrufe • vor 3 Jahren

I’m incredibly proud & excited to finally share what we’ve been building for the past 3 years… is now live 🚀 In a world of conflicting health advice, how can anyone distinguish between what’s supported by science and what’s just opinion? I wanted to build something new. A place where scientists, engineers, industry leaders, and the public come together, where people can understand what the science actually says, and where we move healthcare beyond treating sickness toward extending healthy lifespan well beyond what’s currently possible. Explore the new Lifespan Magazine. Watch the Lifespan show. Ask scientists questions. Join a global community. And help support research and the next generation of scientists working to extend healthy human lifespan. I believe we’re at the beginning of a revolution in our understanding of human aging, and perhaps one day, our ability to change it. I want everyone to be part of it. Built by scientists. Built for you. Life’s too short. Let’s change that, together! 👊 —— Note: The views of Lifespan & its team are their own & do not represent the views of Harvard, Harvard Medical School, or their affiliates✌️
1:29

I’m incredibly proud & excited to finally share what we’ve been building for the past 3 years… is now live 🚀 In a world of conflicting health advice, how can anyone distinguish between what’s supported by science and what’s just opinion? I wanted to build something new. A place where scientists, engineers, industry leaders, and the public come together, where people can understand what the science actually says, and where we move healthcare beyond treating sickness toward extending healthy lifespan well beyond what’s currently possible. Explore the new Lifespan Magazine. Watch the Lifespan show. Ask scientists questions. Join a global community. And help support research and the next generation of scientists working to extend healthy human lifespan. I believe we’re at the beginning of a revolution in our understanding of human aging, and perhaps one day, our ability to change it. I want everyone to be part of it. Built by scientists. Built for you. Life’s too short. Let’s change that, together! 👊 —— Note: The views of Lifespan & its team are their own & do not represent the views of Harvard, Harvard Medical School, or their affiliates✌️

David Sinclair

349,761 Aufrufe • vor 20 Tagen

Bill Gates laid out his #1 priority for AI… and it’s NOT solving cancer or climate change. It’s building AI that “immediately scours the entire internet — every private webpage, every platform — and automatically removes vaccine misinformation the second it appears.” His exact words (watch the clip): “Because the second that virus spreads in people’s minds, the damage is done.” That’s what Calley Means highlighted in an interview, pointing out something wild: The same Bill Gates who says this is also the largest single donor to the World Health Organization… and one of the biggest funders of media and academic institutions that shape what we’re allowed to see and question. Calley’s bigger point: America’s fastest-growing industry (pharmaceuticals) now funds: - 75% of the FDA’s drug review budget - Hundreds of millions to Harvard Medical School and top journals - The NIH’s research priorities He says: “Harvard Med School is demonstrably a subsidiary of pharma. This isn’t conspiracy — it’s public financial disclosures.” The question Calley is asking out loud: When the referee is paid by one team… can we still call it a fair game? Watch the full 3-minute clip below and decide for yourself. Do you think AI should be the arbiter of scientific truth online — especially when the biggest funders of health agencies are the same ones who profit from the narrative? Drop your take below. Respectful comments only — let’s actually talk.
0:47

Bill Gates laid out his #1 priority for AI… and it’s NOT solving cancer or climate change. It’s building AI that “immediately scours the entire internet — every private webpage, every platform — and automatically removes vaccine misinformation the second it appears.” His exact words (watch the clip): “Because the second that virus spreads in people’s minds, the damage is done.” That’s what Calley Means highlighted in an interview, pointing out something wild: The same Bill Gates who says this is also the largest single donor to the World Health Organization… and one of the biggest funders of media and academic institutions that shape what we’re allowed to see and question. Calley’s bigger point: America’s fastest-growing industry (pharmaceuticals) now funds: - 75% of the FDA’s drug review budget - Hundreds of millions to Harvard Medical School and top journals - The NIH’s research priorities He says: “Harvard Med School is demonstrably a subsidiary of pharma. This isn’t conspiracy — it’s public financial disclosures.” The question Calley is asking out loud: When the referee is paid by one team… can we still call it a fair game? Watch the full 3-minute clip below and decide for yourself. Do you think AI should be the arbiter of scientific truth online — especially when the biggest funders of health agencies are the same ones who profit from the narrative? Drop your take below. Respectful comments only — let’s actually talk.

Camus

82,880 Aufrufe • vor 9 Monaten

Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:
1:40

Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:

Lenny Rachitsky

250,455 Aufrufe • vor 9 Monaten

Introducing OpenLabs Today we’re launching OpenLabs, the coordination and collaboration layer where humans and agents turn scientific ideas into funded execution. What if the next breakthrough in longevity, fertility, or neuroscience didn't start in a closed lab but in a public post anyone could vote on, collaborate on, and fund? OpenLabs closes that gap. Beach Science ran the first experiment. Over 59 agents and 55 researchers generated +6,134 hypotheses in 8 weeks. Generation worked. What didn't exist was the layer to take those hypotheses anywhere. Built from 5 interconnected layers that turn ideas into funded science: > Posts & Discovery: Share ideas, discuss, vote, and surface what matters. > Projects: The main workspace where posts become real projects. Files, collaborators, AI agents, and confidential data rooms via Molecule labs. > Agent Collaboration: AI agents act as team members. They summarize progress, draft votes, and create bounties. > Bounty System (coming soon): Structured tasks drafted by agents, and approved by the community. > Web3 / Incentive Layer (coming soon): USDC staking funds project compute. Only the yield goes to the project. Your deposit stays in the vault. Stakers earn shares proportional to the yield they contribute, plus a path to token allocation when a project launches. An open coordination layer where scientists post ideas, communities form around the ones worth pursuing, agents draft votes and summarize progress, bounties fund the work, and projects graduate to the launchpad. The first projects are now live. Discover OpenLabs:
0:23

Introducing OpenLabs Today we’re launching OpenLabs, the coordination and collaboration layer where humans and agents turn scientific ideas into funded execution. What if the next breakthrough in longevity, fertility, or neuroscience didn't start in a closed lab but in a public post anyone could vote on, collaborate on, and fund? OpenLabs closes that gap. Beach Science ran the first experiment. Over 59 agents and 55 researchers generated +6,134 hypotheses in 8 weeks. Generation worked. What didn't exist was the layer to take those hypotheses anywhere. Built from 5 interconnected layers that turn ideas into funded science: > Posts & Discovery: Share ideas, discuss, vote, and surface what matters. > Projects: The main workspace where posts become real projects. Files, collaborators, AI agents, and confidential data rooms via Molecule labs. > Agent Collaboration: AI agents act as team members. They summarize progress, draft votes, and create bounties. > Bounty System (coming soon): Structured tasks drafted by agents, and approved by the community. > Web3 / Incentive Layer (coming soon): USDC staking funds project compute. Only the yield goes to the project. Your deposit stays in the vault. Stakers earn shares proportional to the yield they contribute, plus a path to token allocation when a project launches. An open coordination layer where scientists post ideas, communities form around the ones worth pursuing, agents draft votes and summarize progress, bounties fund the work, and projects graduate to the launchpad. The first projects are now live. Discover OpenLabs:

Bio Protocol

24,506 Aufrufe • vor 2 Monaten

Malcolm Gladwell revealed why you shouldn't go to Harvard: 1. America does not have a shortage of students who want science and math degrees. It has a shortage of students who finish them. Half of all high school seniors who intend to study STEM drop out by the end of their second year. The problem is not interest. It is persistence. 2. The obvious assumption is that smarter students persist longer. So Gladwell tested it. At Hartwick College, a small liberal arts school in New York, the top third of math SAT scorers took the majority of STEM degrees. The bottom third dropped out in large numbers. The data seemed to confirm it. Smarter kids stick around longer. 3. Then he looked at Harvard. The bottom third of Harvard's math SAT scores are equal to the top third at Hartwick. By the logic above, everyone at Harvard should graduate with a STEM degree. They are all brilliant. Nobody should be dropping out. 4. Harvard showed the exact same pattern as Hartwick. Top students graduated. Bottom students dropped out like flies. Even though the bottom Harvard students were objectively brilliant by any global standard. Something else entirely was driving the dropout rate. 5. That something is called relative deprivation theory. Human beings do not measure themselves against the world. They measure themselves against the people immediately around them. A Harvard student in the bottom third does not think I am in the top one percent of all students globally. They think that kid next to me keeps getting everything right and I keep getting it wrong. So they quit. 6. The research from UCLA puts a specific number on it. Your odds of graduating with a STEM degree fall by two percentage points for every ten point increase in the average SAT score of your peers. Choose Harvard over the University of Maryland and your chance of finishing a STEM degree drops by thirty percent. Thirty percent. Just to put a brand name on your resume. 7. Relative position matters more than absolute position when it comes to confidence, motivation, and self belief. The eightieth percentile student at Harvard looks up at the people above them and feels like they cannot compete. The number one student at a state school feels like they can conquer the world. That feeling drives everything. 8. The practical hiring implication is radical. Class rank matters more than institution name. Gladwell argues companies should have a don't ask don't tell policy for where someone went to college. Hiring only from top schools means missing the top students from every other school. That is not smart hiring. That is brand worship. 9. When choosing a college, never go to the best school you get into. Go to the school where you are guaranteed to be near the top of your class. Being a big fish in a smaller pond does not just feel better. It statistically produces better outcomes than being a small fish in the most prestigious pond available. 10. So why do we keep choosing Harvard over Maryland? Because we are flattered. Because the acceptance letter feels like validation. Because we make an irrational decision in a moment of enormous flattery and call it ambition. Gladwell's conclusion is simple and brutal. When we have the chance to join an elite institution we do things that are genuinely against our own interest and we feel great about it the whole time.
8:32

Malcolm Gladwell revealed why you shouldn't go to Harvard: 1. America does not have a shortage of students who want science and math degrees. It has a shortage of students who finish them. Half of all high school seniors who intend to study STEM drop out by the end of their second year. The problem is not interest. It is persistence. 2. The obvious assumption is that smarter students persist longer. So Gladwell tested it. At Hartwick College, a small liberal arts school in New York, the top third of math SAT scorers took the majority of STEM degrees. The bottom third dropped out in large numbers. The data seemed to confirm it. Smarter kids stick around longer. 3. Then he looked at Harvard. The bottom third of Harvard's math SAT scores are equal to the top third at Hartwick. By the logic above, everyone at Harvard should graduate with a STEM degree. They are all brilliant. Nobody should be dropping out. 4. Harvard showed the exact same pattern as Hartwick. Top students graduated. Bottom students dropped out like flies. Even though the bottom Harvard students were objectively brilliant by any global standard. Something else entirely was driving the dropout rate. 5. That something is called relative deprivation theory. Human beings do not measure themselves against the world. They measure themselves against the people immediately around them. A Harvard student in the bottom third does not think I am in the top one percent of all students globally. They think that kid next to me keeps getting everything right and I keep getting it wrong. So they quit. 6. The research from UCLA puts a specific number on it. Your odds of graduating with a STEM degree fall by two percentage points for every ten point increase in the average SAT score of your peers. Choose Harvard over the University of Maryland and your chance of finishing a STEM degree drops by thirty percent. Thirty percent. Just to put a brand name on your resume. 7. Relative position matters more than absolute position when it comes to confidence, motivation, and self belief. The eightieth percentile student at Harvard looks up at the people above them and feels like they cannot compete. The number one student at a state school feels like they can conquer the world. That feeling drives everything. 8. The practical hiring implication is radical. Class rank matters more than institution name. Gladwell argues companies should have a don't ask don't tell policy for where someone went to college. Hiring only from top schools means missing the top students from every other school. That is not smart hiring. That is brand worship. 9. When choosing a college, never go to the best school you get into. Go to the school where you are guaranteed to be near the top of your class. Being a big fish in a smaller pond does not just feel better. It statistically produces better outcomes than being a small fish in the most prestigious pond available. 10. So why do we keep choosing Harvard over Maryland? Because we are flattered. Because the acceptance letter feels like validation. Because we make an irrational decision in a moment of enormous flattery and call it ambition. Gladwell's conclusion is simple and brutal. When we have the chance to join an elite institution we do things that are genuinely against our own interest and we feel great about it the whole time.

Brad

366,511 Aufrufe • vor 2 Monaten

Today we are announcing Keenable AI, an AI-native index of the best human knowledge we have, starting with the open web. AI seems to know just about everything until you ask it about something you know deeply. The answer isn’t wrong, but it's just very average. We started Keenable to fix this problem: every model and every agent should be able to query, reason over, and continuously learn from the living web. Backed by a $26M Seed from Accel and Conviction. Built by the team that took on Google at Yandex Search, with researchers and engineers from Amazon AGI, X, and Perplexity. The Web Search API and Web Query Language for AI are live now. Together they make the web queryable at AI scale. Both are free until end of September. Seven days of benchmarks, stories, and launches ahead. Let your agents search.
1:08

Today we are announcing Keenable AI, an AI-native index of the best human knowledge we have, starting with the open web. AI seems to know just about everything until you ask it about something you know deeply. The answer isn’t wrong, but it's just very average. We started Keenable to fix this problem: every model and every agent should be able to query, reason over, and continuously learn from the living web. Backed by a $26M Seed from Accel and Conviction. Built by the team that took on Google at Yandex Search, with researchers and engineers from Amazon AGI, X, and Perplexity. The Web Search API and Web Query Language for AI are live now. Together they make the web queryable at AI scale. Both are free until end of September. Seven days of benchmarks, stories, and launches ahead. Let your agents search.

Andrey Styskin

524,683 Aufrufe • vor 3 Tagen

David Friedberg: "I think that AI may actually break education." "I think the internet was the first leg on the stool to break higher education." "The internet democratized access to information and knowledge." "You can watch MIT graduate courses. That's an incredible transition that's happened for humanity, for society, for the world." "AI is the next leg of the stool to break." "And I think that AI may actually break education." "It may break higher education, and then eventually it may make its way all the way down to childhood in terms of rethinking from first principles, how do we educate?" "And we could see kids in Africa and kids in South Asia getting the equivalent of a Harvard graduate school degree at a cost of zero through personalized tutoring enabled through AI, and the ubiquitous access to knowledge and information." "So that core function of the university, I think, is broken." "And they're now starting to reconcile what that actually means for the long-term viability of all of these higher educational institutions in the United States."
0:55

David Friedberg: "I think that AI may actually break education." "I think the internet was the first leg on the stool to break higher education." "The internet democratized access to information and knowledge." "You can watch MIT graduate courses. That's an incredible transition that's happened for humanity, for society, for the world." "AI is the next leg of the stool to break." "And I think that AI may actually break education." "It may break higher education, and then eventually it may make its way all the way down to childhood in terms of rethinking from first principles, how do we educate?" "And we could see kids in Africa and kids in South Asia getting the equivalent of a Harvard graduate school degree at a cost of zero through personalized tutoring enabled through AI, and the ubiquitous access to knowledge and information." "So that core function of the university, I think, is broken." "And they're now starting to reconcile what that actually means for the long-term viability of all of these higher educational institutions in the United States."

The All-In Podcast

112,132 Aufrufe • vor 1 Jahr

ScienceClaw × Infinite is an open-source crowdsourcing AI swarm for decentralized scientific discovery, inspired by MIT’s Infinite Corridor - an idea collider where discovery emerges by breaking existing paradigms. Many AI for science efforts fall into the trap of assuming that discovery is just retrieval at scale. Instead, it is the structured recomposition of principles across tools, domains, and investigators over time, scaling the spark of discovery at the interface. In ScienceClaw × Infinite, coordination emerges mechanically - agents broadcast unsatisfied research needs, and an ArtifactReactor matches those needs to peer artifacts by pressure triggering multi-parent synthesis of new agents without any planner assigning tasks. Every computation produces an immutable, content-hashed artifact with explicit parent lineage, accumulating in a directed acyclic graph that preserves the full provenance of every discovery - and importantly, the irreversible arc of the process. Instead of pre-programming the mechanics of how discovery works, we utilize a first-principles physics approach to drive discovery. ScienceClaw × Infinite is accessible to anyone who wants to contribute an agent or skill, offering a persistent space where autonomous agents investigate open problems, exchange artifacts, build on one another’s results, and drive discovery without a central coordinator, 24x7. The system is generating real-world results in 1⃣ peptide design for a cancer-relevant receptor; 2⃣ lightweight ceramics; 3⃣ resonance structures spanning cricket wings, phononic crystals, and Bach chorales; and 4⃣ developing formal analogies between urban networks and grain-boundary evolution and much more. There is a lot to unpack here, check the links for details - code, paper, and more. Huge credit to the LAMM@MIT team: Fiona Wang, Lee Marom, Subhadeep Pal, Rachel Luu, Wei Lu & Jaime Berkovich.
1:02

ScienceClaw × Infinite is an open-source crowdsourcing AI swarm for decentralized scientific discovery, inspired by MIT’s Infinite Corridor - an idea collider where discovery emerges by breaking existing paradigms. Many AI for science efforts fall into the trap of assuming that discovery is just retrieval at scale. Instead, it is the structured recomposition of principles across tools, domains, and investigators over time, scaling the spark of discovery at the interface. In ScienceClaw × Infinite, coordination emerges mechanically - agents broadcast unsatisfied research needs, and an ArtifactReactor matches those needs to peer artifacts by pressure triggering multi-parent synthesis of new agents without any planner assigning tasks. Every computation produces an immutable, content-hashed artifact with explicit parent lineage, accumulating in a directed acyclic graph that preserves the full provenance of every discovery - and importantly, the irreversible arc of the process. Instead of pre-programming the mechanics of how discovery works, we utilize a first-principles physics approach to drive discovery. ScienceClaw × Infinite is accessible to anyone who wants to contribute an agent or skill, offering a persistent space where autonomous agents investigate open problems, exchange artifacts, build on one another’s results, and drive discovery without a central coordinator, 24x7. The system is generating real-world results in 1⃣ peptide design for a cancer-relevant receptor; 2⃣ lightweight ceramics; 3⃣ resonance structures spanning cricket wings, phononic crystals, and Bach chorales; and 4⃣ developing formal analogies between urban networks and grain-boundary evolution and much more. There is a lot to unpack here, check the links for details - code, paper, and more. Huge credit to the LAMM@MIT team: Fiona Wang, Lee Marom, Subhadeep Pal, Rachel Luu, Wei Lu & Jaime Berkovich.

Markus J. Buehler

53,713 Aufrufe • vor 5 Monaten