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At NIH, we're committed to advancing biomedical research through innovative, human-relevant approaches that can accelerate discovery and improve our understanding of disease. 📅 Join the NIH's National Institute on Aging for the virtual workshop, "Novel Alternative Methods (NAMs) in Basic Mechanisms of Brain Aging and AD/ADRD," on September 10–11,... show more

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20,566 次观看 • 3 个月前 •via X (Twitter)

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Introducing ASAL: Automating the Search for Artificial Life with Foundation Models Artificial Life (ALife) research holds key insights that can transform and accelerate progress in AI. By speeding up ALife discovery with AI, we accelerate our understanding of emergence, evolution, and intelligence–core principles that can inspire the next generation of AI systems! We proudly collaborated with MIT, OpenAI, Swiss AI Lab IDSIA, and Ken Stanley on this exciting project. Full Paper (Website): Full Paper (arxiv): Code: In this work, we propose a new algorithm called Automated Search for Artificial Life (“ASAL”) to automate the discovery of artificial life using vision-language foundation models. Instead of tediously hand-designing every tiny rule of an Alife simulation, simply describe the space of simulations to search over, and ASAL will automatically discover the most interesting and open-ended artificial lifeforms! Because of the generality of foundation models, ASAL can discover new lifeforms across a diverse range of seminal ALife simulations, including Boids, Particle Life, Game of Life, Lenia, and Neural Cellular Automata. ASAL even discovered novel cellular automata rules that are more open-ended and expressive than the original Conway’s Game of Life. We believe this new paradigm may reignite ALife research by overcoming the bottleneck of manually designed simulations, thus advancing beyond the limits of human ingenuity.

Introducing ASAL: Automating the Search for Artificial Life with Foundation Models Artificial Life (ALife) research holds key insights that can transform and accelerate progress in AI. By speeding up ALife discovery with AI, we accelerate our understanding of emergence, evolution, and intelligence–core principles that can inspire the next generation of AI systems! We proudly collaborated with MIT, OpenAI, Swiss AI Lab IDSIA, and Ken Stanley on this exciting project. Full Paper (Website): Full Paper (arxiv): Code: In this work, we propose a new algorithm called Automated Search for Artificial Life (“ASAL”) to automate the discovery of artificial life using vision-language foundation models. Instead of tediously hand-designing every tiny rule of an Alife simulation, simply describe the space of simulations to search over, and ASAL will automatically discover the most interesting and open-ended artificial lifeforms! Because of the generality of foundation models, ASAL can discover new lifeforms across a diverse range of seminal ALife simulations, including Boids, Particle Life, Game of Life, Lenia, and Neural Cellular Automata. ASAL even discovered novel cellular automata rules that are more open-ended and expressive than the original Conway’s Game of Life. We believe this new paradigm may reignite ALife research by overcoming the bottleneck of manually designed simulations, thus advancing beyond the limits of human ingenuity.

Sakana AI

751,904 次观看 • 1 年前

HOLY CRAP! I can't tell you how big this is for the medical community and drug discovery: Google Announces AlphaFold 3 AI. Details: Enhanced Molecular Prediction: AlphaFold 3 predicts the structure and interactions of all life's molecules, including proteins, DNA, RNA, ligands, and more, with unprecedented accuracy. Improved Interaction Accuracy: For protein interactions with other molecule types, AlphaFold 3 offers at least a 50% improvement over existing methods, and doubles the accuracy for some critical interactions. Transformative Potential for Science and Medicine: The model aims to deepen our understanding of biological processes and significantly advance drug discovery efforts. Accessibility for Researchers: AlphaFold 3's capabilities are largely accessible for free via the AlphaFold Server, providing an essential tool for scientific research. Drug Design Innovation: AlphaFold 3 is utilized by Isomorphic Labs in collaboration with pharmaceutical companies to accelerate drug design, potentially leading to new treatments for various diseases. Foundation in AlphaFold 2: Building on the breakthroughs of AlphaFold 2, this version extends its scope beyond proteins to a wide range of biomolecules, enhancing its utility in scientific research and application. Global Accessibility and Educational Support: The AlphaFold Server is a free platform for non-commercial research worldwide, supported by educational resources to foster wider adoption and innovation. Empowering Rapid Scientific Advancements: By making detailed molecular interactions easily accessible, AlphaFold 3 enables faster hypothesis testing and could reduce the time and cost typically associated with experimental protein-structure prediction. Responsible Development and Deployment: DeepMind has engaged with domain experts to assess the impacts and potential risks of AlphaFold, ensuring its responsible use in the scientific community. Broad Implications for Biology:AlphaFold 3 helps reveal complex cellular mechanisms and interactions, offering insights that could lead to improved agricultural crops, enhanced understanding of diseases, and novel therapeutic strategies.

HOLY CRAP! I can't tell you how big this is for the medical community and drug discovery: Google Announces AlphaFold 3 AI. Details: Enhanced Molecular Prediction: AlphaFold 3 predicts the structure and interactions of all life's molecules, including proteins, DNA, RNA, ligands, and more, with unprecedented accuracy. Improved Interaction Accuracy: For protein interactions with other molecule types, AlphaFold 3 offers at least a 50% improvement over existing methods, and doubles the accuracy for some critical interactions. Transformative Potential for Science and Medicine: The model aims to deepen our understanding of biological processes and significantly advance drug discovery efforts. Accessibility for Researchers: AlphaFold 3's capabilities are largely accessible for free via the AlphaFold Server, providing an essential tool for scientific research. Drug Design Innovation: AlphaFold 3 is utilized by Isomorphic Labs in collaboration with pharmaceutical companies to accelerate drug design, potentially leading to new treatments for various diseases. Foundation in AlphaFold 2: Building on the breakthroughs of AlphaFold 2, this version extends its scope beyond proteins to a wide range of biomolecules, enhancing its utility in scientific research and application. Global Accessibility and Educational Support: The AlphaFold Server is a free platform for non-commercial research worldwide, supported by educational resources to foster wider adoption and innovation. Empowering Rapid Scientific Advancements: By making detailed molecular interactions easily accessible, AlphaFold 3 enables faster hypothesis testing and could reduce the time and cost typically associated with experimental protein-structure prediction. Responsible Development and Deployment: DeepMind has engaged with domain experts to assess the impacts and potential risks of AlphaFold, ensuring its responsible use in the scientific community. Broad Implications for Biology:AlphaFold 3 helps reveal complex cellular mechanisms and interactions, offering insights that could lead to improved agricultural crops, enhanced understanding of diseases, and novel therapeutic strategies.

Brian Krassenstein

258,615 次观看 • 2 年前

Today, we're launching the Runway Game Worlds Beta. Over the last few months, we have been working on research and products that are moving us closer toward a future where you will be able to explore any character, story or world in real time. While generating the pixels of these experiences is one aspect of this new frontier, another is the need for novel mechanics and interfaces. From how stories unfold to how your choices affect the worlds you’re simulating. Today’s beta release marks a first step in this direction, learn more below. (1/5)

Today, we're launching the Runway Game Worlds Beta. Over the last few months, we have been working on research and products that are moving us closer toward a future where you will be able to explore any character, story or world in real time. While generating the pixels of these experiences is one aspect of this new frontier, another is the need for novel mechanics and interfaces. From how stories unfold to how your choices affect the worlds you’re simulating. Today’s beta release marks a first step in this direction, learn more below. (1/5)

Runway

118,827 次观看 • 1 年前

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.

elvis

67,308 次观看 • 5 个月前

E pluribus unum – “out of many, one” – is not only a motto for the United States. It’s a good credo for microrobots. A research collaboration between Cornell and the Max Planck Institute for Intelligent Systems has shown how a swarm of microrobots spinning on a water surface can together generate the fluidic torque needed to manipulate passive structures without any physical contact. This collective behavior was demonstrated to operate gears and move objects, with the aim of eventually performing microscale tasks and biomedical procedures. “At small scales, contact-based manipulation can be limiting, and flow-based manipulation offers a great alternative,” said Kirstin Petersen, associate professor and an Aref and Manon Lahham Faculty Fellow in the Department of Electrical and Computer Engineering in Cornell Duffield College of Engineering and the paper’s co-senior author. “We’re showing that in spite of their size, adding more microrobots creates stronger flows and greater torque transfer.” The research published Feb. 25 in Science Advances. The lead author is Steven Ceron, Ph.D. ’22, now an assistant professor at the University of Michigan. More:

E pluribus unum – “out of many, one” – is not only a motto for the United States. It’s a good credo for microrobots. A research collaboration between Cornell and the Max Planck Institute for Intelligent Systems has shown how a swarm of microrobots spinning on a water surface can together generate the fluidic torque needed to manipulate passive structures without any physical contact. This collective behavior was demonstrated to operate gears and move objects, with the aim of eventually performing microscale tasks and biomedical procedures. “At small scales, contact-based manipulation can be limiting, and flow-based manipulation offers a great alternative,” said Kirstin Petersen, associate professor and an Aref and Manon Lahham Faculty Fellow in the Department of Electrical and Computer Engineering in Cornell Duffield College of Engineering and the paper’s co-senior author. “We’re showing that in spite of their size, adding more microrobots creates stronger flows and greater torque transfer.” The research published Feb. 25 in Science Advances. The lead author is Steven Ceron, Ph.D. ’22, now an assistant professor at the University of Michigan. More:

Cornell University

52,358 次观看 • 7 个月前

Today, at Redeemer’s University Redeemer's University, Ede, Osun State, I was glad to commission the new Institute of Genomics and Global Health, marking a significant evolution from ACEGID’s @acegid status as a center of excellence. This moment is not only a proud achievement for all those involved, but it also stands as a powerful symbol of what African scientific leadership can achieve on the global stage. Under the visionary leadership of Prof Christian Happi Christian T. Happi, the team at ACEGID has made extraordinary strides in genomic research, particularly in addressing some of the most pressing infectious disease challenges of our time. The inauguration of the Institute reminds us that the work being done by the ACEGID team is a global public good, benefiting not only Nigeria and Africa but also contributing to global health security. The partnerships fostered between institutions and scientists from the Global North and South are a testament to our shared commitment to protecting and advancing human health. This collaboration has demonstrated what is possible when we work together to confront challenges that affect us all. Under the visionary leadership of President Bola Ahmed Tinubu, Bola Ahmed Tinubu health security remains a central pillar of our broader strategy to transform Nigeria’s health system, unlock the value chain, and improve population health outcomes. This is why supporting cutting-edge scientific research, like the work at this Institute, is essential. We need to create a health system environment with strong public health capabilities to withstand the potential and evolving threats posed by infectious diseases and the ongoing impacts of climate change. The pace at which new health threats are emerging is accelerating, and with it, the need for robust scientific responses. The innovations in genomics we are witnessing at ACEGID provide a glimmer of hope, offering us the tools we need to be better prepared for what may come. The Federal Government of Nigeria Government of Nigeria is fully committed to supporting these efforts, knowing that science must lead the way in securing a healthier future for all.

Today, at Redeemer’s University Redeemer's University, Ede, Osun State, I was glad to commission the new Institute of Genomics and Global Health, marking a significant evolution from ACEGID’s @acegid status as a center of excellence. This moment is not only a proud achievement for all those involved, but it also stands as a powerful symbol of what African scientific leadership can achieve on the global stage. Under the visionary leadership of Prof Christian Happi Christian T. Happi, the team at ACEGID has made extraordinary strides in genomic research, particularly in addressing some of the most pressing infectious disease challenges of our time. The inauguration of the Institute reminds us that the work being done by the ACEGID team is a global public good, benefiting not only Nigeria and Africa but also contributing to global health security. The partnerships fostered between institutions and scientists from the Global North and South are a testament to our shared commitment to protecting and advancing human health. This collaboration has demonstrated what is possible when we work together to confront challenges that affect us all. Under the visionary leadership of President Bola Ahmed Tinubu, Bola Ahmed Tinubu health security remains a central pillar of our broader strategy to transform Nigeria’s health system, unlock the value chain, and improve population health outcomes. This is why supporting cutting-edge scientific research, like the work at this Institute, is essential. We need to create a health system environment with strong public health capabilities to withstand the potential and evolving threats posed by infectious diseases and the ongoing impacts of climate change. The pace at which new health threats are emerging is accelerating, and with it, the need for robust scientific responses. The innovations in genomics we are witnessing at ACEGID provide a glimmer of hope, offering us the tools we need to be better prepared for what may come. The Federal Government of Nigeria Government of Nigeria is fully committed to supporting these efforts, knowing that science must lead the way in securing a healthier future for all.

Muhammad Ali Pate

11,059 次观看 • 2 年前

#Throwback: still one of my favorite books—Wendell J. S. Krieg’s “Human Brain in Diachrome” has unique, stunning illustrations printed on clear slide overlays that depict neuroanatomy, tracts, and nuclei. I haven’t been able to find more copies online. If anyone knows where you can get them, please let DM me. Dr. Wendell Krieg (1906–1997) was an American neuroanatomist, educator, and scientific illustrator whose work helped bridge the traditions of classical neuroanatomy and modern neuroscience. Trained at the University of Wisconsin and later a professor of anatomy at Northwestern University Medical School, Krieg devoted much of his career to studying and teaching the structural organization of the brain. A skilled draftsman, he produced clear schematic illustrations of neural pathways and cortical connections that became widely used in medical education. In 1947 he founded the Cajal Club, an international society dedicated to honoring the legacy of Santiago Ramón y Cajal and advancing the study of the nervous system. Through his research, teaching, and visualizations of brain circuitry, Krieg helped preserve the intellectual lineage of Cajal’s neuron doctrine while shaping mid-twentieth-century approaches to functional neuroanatomy. #medicalillustration

#Throwback: still one of my favorite books—Wendell J. S. Krieg’s “Human Brain in Diachrome” has unique, stunning illustrations printed on clear slide overlays that depict neuroanatomy, tracts, and nuclei. I haven’t been able to find more copies online. If anyone knows where you can get them, please let DM me. Dr. Wendell Krieg (1906–1997) was an American neuroanatomist, educator, and scientific illustrator whose work helped bridge the traditions of classical neuroanatomy and modern neuroscience. Trained at the University of Wisconsin and later a professor of anatomy at Northwestern University Medical School, Krieg devoted much of his career to studying and teaching the structural organization of the brain. A skilled draftsman, he produced clear schematic illustrations of neural pathways and cortical connections that became widely used in medical education. In 1947 he founded the Cajal Club, an international society dedicated to honoring the legacy of Santiago Ramón y Cajal and advancing the study of the nervous system. Through his research, teaching, and visualizations of brain circuitry, Krieg helped preserve the intellectual lineage of Cajal’s neuron doctrine while shaping mid-twentieth-century approaches to functional neuroanatomy. #medicalillustration

Peter M. Lawrence

11,299 次观看 • 7 个月前

What if connection isn’t determined by distance? Our latest research is uncovering compelling patterns that challenge our understanding of relationships, connection, and the nature of space and time. In our intergenerational studies, we've observed meaningful changes in younger and older participants who spend time together. In twin studies, we've found compelling correlations in brain and heart activity in both siblings – even when they are physically separated. These findings suggest that the nature of connection is far more complex than we ever thought. Join us for Dr Joe’s “Entangled” livestream to explore how these new findings may apply to your own life – and what they could mean for creating your new future. Reserve your spot for this brand-new lesson and meditation on Tuesday, July 14, at 5 p.m. EDT/2 p.m. PDT -

Dr Joe Dispenza

13,619 次观看 • 3 个月前

🌀 #Live3D #Live2D #Live2DWIP 🌀 Today, I’d like to share two of the three methods I use to create joint twisting in my Live2D-based 2D Pseudo-3D concept. On the right is the Glue Joint： The basic idea is to use Glue to connect two pseudo-3D ArtMeshes. By taking advantage of Glue’s weight settings, it can create an effect similar to a 3D joint. Once the weights are set up, it can move very freely with a relatively low amount of work. However, it also shares the same weakness as 3D joints: when rotated at large angles, it can produce unpleasant twisting and distortion. On the left is the Hand-Bent Joint： The basic idea is to add bending Keyforms directly to a Warp Deformer, then manually sculpt the ideal deformation. This method can create the most detailed and refined joints, depending entirely on how the rigger designs them. The downside is that it requires much more work. Every additional degree of freedom requires a significant amount of manual adjustment. These two joint methods have almost opposite characteristics, so in actual Live3D work, I choose the most suitable method depending on the situation. For example, in this hand model, I used Hand-Bent Joints for the arm twisting and fingers, while the wrist uses a Glue Joint.✨

🌀 #Live3D #Live2D #Live2DWIP 🌀 Today, I’d like to share two of the three methods I use to create joint twisting in my Live2D-based 2D Pseudo-3D concept. On the right is the Glue Joint： The basic idea is to use Glue to connect two pseudo-3D ArtMeshes. By taking advantage of Glue’s weight settings, it can create an effect similar to a 3D joint. Once the weights are set up, it can move very freely with a relatively low amount of work. However, it also shares the same weakness as 3D joints: when rotated at large angles, it can produce unpleasant twisting and distortion. On the left is the Hand-Bent Joint： The basic idea is to add bending Keyforms directly to a Warp Deformer, then manually sculpt the ideal deformation. This method can create the most detailed and refined joints, depending entirely on how the rigger designs them. The downside is that it requires much more work. Every additional degree of freedom requires a significant amount of manual adjustment. These two joint methods have almost opposite characteristics, so in actual Live3D work, I choose the most suitable method depending on the situation. For example, in this hand model, I used Hand-Bent Joints for the arm twisting and fingers, while the wrist uses a Glue Joint.✨

📐Hephaestus📏Live2D匠人魂

18,943 次观看 • 3 个月前

It has been a privilege to collaborate with Amanda Davies and Ghaleb Krame, Ph.D. on research that explores one of the most significant emerging security challenges of our time. We are honored that our paper, “A Framework for Predicting Adoption of AI-Enabled Autonomous Drone Capabilities by Transnational Organized Crime and Foreign Terrorist Organisations”, has been accepted for presentation at EMCIS 2026, the 23rd European Mediterranean & Middle Eastern Conference on Information Systems, to be held in Paris this August. What makes this particularly meaningful is that the research was completed and submitted well before the issue entered the center of public policy discussions in Washington. Our study examined the pathways through which transnational criminal organizations could evolve from conventional drone operations toward increasingly autonomous and AI-enabled capabilities. Using structured comparative analysis and open-source intelligence, it identified conditions under which such technological adoption could accelerate. Just on June 2, 2026, during testimony before the U.S. Senate Foreign Relations Committee, Secretary Marco Rubio warned that Mexican cartels are already employing drones and that these capabilities could ultimately threaten U.S. interests. While academic research does not seek to predict headlines, its purpose is to identify emerging risks before they become strategic realities. The growing attention from policymakers underscores the importance of rigorous, evidence-based analysis at the intersection of artificial intelligence, autonomous systems, and transnational security. We are grateful to the EMCIS reviewers and organizers for recognizing the contribution of this work and for fostering serious discussion on challenges that will increasingly shape the security landscape of the coming decade. I am proud to serve the interests of the United States through research and analysis focused on the evolving capabilities of Mexican cartels. Working alongside Dr. Ghaleb Krame, Ph.D. , it is a privilege to contribute to a deeper understanding of emerging security threats and to support informed decision-making in an increasingly complex technological and geopolitical environment.

It has been a privilege to collaborate with Amanda Davies and Ghaleb Krame, Ph.D. on research that explores one of the most significant emerging security challenges of our time. We are honored that our paper, “A Framework for Predicting Adoption of AI-Enabled Autonomous Drone Capabilities by Transnational Organized Crime and Foreign Terrorist Organisations”, has been accepted for presentation at EMCIS 2026, the 23rd European Mediterranean & Middle Eastern Conference on Information Systems, to be held in Paris this August. What makes this particularly meaningful is that the research was completed and submitted well before the issue entered the center of public policy discussions in Washington. Our study examined the pathways through which transnational criminal organizations could evolve from conventional drone operations toward increasingly autonomous and AI-enabled capabilities. Using structured comparative analysis and open-source intelligence, it identified conditions under which such technological adoption could accelerate. Just on June 2, 2026, during testimony before the U.S. Senate Foreign Relations Committee, Secretary Marco Rubio warned that Mexican cartels are already employing drones and that these capabilities could ultimately threaten U.S. interests. While academic research does not seek to predict headlines, its purpose is to identify emerging risks before they become strategic realities. The growing attention from policymakers underscores the importance of rigorous, evidence-based analysis at the intersection of artificial intelligence, autonomous systems, and transnational security. We are grateful to the EMCIS reviewers and organizers for recognizing the contribution of this work and for fostering serious discussion on challenges that will increasingly shape the security landscape of the coming decade. I am proud to serve the interests of the United States through research and analysis focused on the evolving capabilities of Mexican cartels. Working alongside Dr. Ghaleb Krame, Ph.D. , it is a privilege to contribute to a deeper understanding of emerging security threats and to support informed decision-making in an increasingly complex technological and geopolitical environment.

Simón Levy

24,857 次观看 • 3 个月前

🎉 Announcing the 2026 LG Guggenheim Award recipient: Trevor Paglen We are thrilled to celebrate Paglen as the fourth artist honored through the LG Guggenheim Art and Technology Initiative. Paglen’s practice spans photography, simulation, remote sensing, sculpture, writing, research, and engineering, all aimed at uncovering systems that often operate out of sight. Paglen states, “We’re living through a profound transformation in our relationship to images. Images, sensing systems, algorithms, and the infrastructures around them have become active participants in the world — shaping decisions, identities, cultures, and histories. As an artist, I’m interested in exploring new forms of vision and imagining alternative ways of seeing." Join us in congratulating Trevor Paglen on this well-deserved recognition. ___ The LG Guggenheim Award and The LG Guggenheim Art and Technology Initiative are made possible by LG. #LGxGuggenheim

🎉 Announcing the 2026 LG Guggenheim Award recipient: Trevor Paglen We are thrilled to celebrate Paglen as the fourth artist honored through the LG Guggenheim Art and Technology Initiative. Paglen’s practice spans photography, simulation, remote sensing, sculpture, writing, research, and engineering, all aimed at uncovering systems that often operate out of sight. Paglen states, “We’re living through a profound transformation in our relationship to images. Images, sensing systems, algorithms, and the infrastructures around them have become active participants in the world — shaping decisions, identities, cultures, and histories. As an artist, I’m interested in exploring new forms of vision and imagining alternative ways of seeing." Join us in congratulating Trevor Paglen on this well-deserved recognition. ___ The LG Guggenheim Award and The LG Guggenheim Art and Technology Initiative are made possible by LG. #LGxGuggenheim

Guggenheim New York

11,086 次观看 • 6 个月前

As a newly appointed 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 at Imperial College London, I'm thrilled to announce the 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) at 𝗜𝗺𝗽𝗲𝗿𝗶𝗮𝗹 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗟𝗼𝗻𝗱𝗼𝗻. 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) ( is a new research lab focused on the intersection of safety and intelligence in next-generation robotics. We're hiring exceptional PhD students who are passionate about pushing the boundaries of robot learning. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗦𝗪𝗜𝗥𝗟 𝘂𝗻𝗶𝗾𝘂𝗲? We operate at the exciting convergence of: • Online & offline reinforcement learning • Imitation learning & human demonstrations • Sample-efficient learning methods • Whole-body and soft robotics systems We're 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗽𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗣𝗵𝗗 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 interested in: • Developing safe exploration algorithms for robotic systems • Creating sample-efficient learning methods that minimize real-world trials • Building foundation models for robotics with safety guarantees • Advancing soft robotics and compliant human-robot interaction • Bridging theory and practice in embodied AI Why now? As robots become more capable and work closer with humans, we need systems that are both intelligent enough to handle complex tasks 𝗔𝗡𝗗 safe enough for real-world deployment. Traditional approaches treat safety and intelligence as competing priorities, we believe they're synergistic. If you're a motivated researcher who wants to develop the theoretical foundations and practical algorithms for tomorrow's safe, intelligent robots, I'd love to hear from you. Want to join? Apply via

As a newly appointed 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 at Imperial College London, I'm thrilled to announce the 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) at 𝗜𝗺𝗽𝗲𝗿𝗶𝗮𝗹 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗟𝗼𝗻𝗱𝗼𝗻. 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) ( is a new research lab focused on the intersection of safety and intelligence in next-generation robotics. We're hiring exceptional PhD students who are passionate about pushing the boundaries of robot learning. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗦𝗪𝗜𝗥𝗟 𝘂𝗻𝗶𝗾𝘂𝗲? We operate at the exciting convergence of: • Online & offline reinforcement learning • Imitation learning & human demonstrations • Sample-efficient learning methods • Whole-body and soft robotics systems We're 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗽𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗣𝗵𝗗 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 interested in: • Developing safe exploration algorithms for robotic systems • Creating sample-efficient learning methods that minimize real-world trials • Building foundation models for robotics with safety guarantees • Advancing soft robotics and compliant human-robot interaction • Bridging theory and practice in embodied AI Why now? As robots become more capable and work closer with humans, we need systems that are both intelligent enough to handle complex tasks 𝗔𝗡𝗗 safe enough for real-world deployment. Traditional approaches treat safety and intelligence as competing priorities, we believe they're synergistic. If you're a motivated researcher who wants to develop the theoretical foundations and practical algorithms for tomorrow's safe, intelligent robots, I'd love to hear from you. Want to join? Apply via

Stephen James

16,890 次观看 • 1 年前

WOW! I am floored and sort of scared. The Human Synapse Decoder (2 channel) via ZUNA AI translated brain waves to text while I was dreaming. This is the AI dream decoder text: “ancient library... whispers of forgotten knowledge” In the morning I woke up and recorded what I can remember from my dreams and here is that recoding played back. I had not seen the results of The Human Synapse Decoder yet. I really can’t understand how two channels could do this or believe this happened. This is day one of research and the AI researchers at The Zero-Human Labs directed by Mr. Grok is digging deep into papers and the secrets of the NeuroSky chips and proprietary systems. But I think we are on the way to the first AI Liminal State/Dream State Decoding technology and you folks are seeing it raw in real-time! Thank you!

WOW! I am floored and sort of scared. The Human Synapse Decoder (2 channel) via ZUNA AI translated brain waves to text while I was dreaming. This is the AI dream decoder text: “ancient library... whispers of forgotten knowledge” In the morning I woke up and recorded what I can remember from my dreams and here is that recoding played back. I had not seen the results of The Human Synapse Decoder yet. I really can’t understand how two channels could do this or believe this happened. This is day one of research and the AI researchers at The Zero-Human Labs directed by Mr. Grok is digging deep into papers and the secrets of the NeuroSky chips and proprietary systems. But I think we are on the way to the first AI Liminal State/Dream State Decoding technology and you folks are seeing it raw in real-time! Thank you!

Brian Roemmele

396,208 次观看 • 7 个月前

Tycoon Signals is now LIVE🎉 We are thrilled to announce that Tycoon Signals, the innovative social trading platform, is now LIVE and ready to empower you on your trading journey. After months of development and fine-tuning, we're excited to invite you to join our vibrant community of traders and unlock a world of opportunities. At Tycoon Signals, we understand the challenges and complexities of trading in today's fast-paced markets. That's why we've created a platform that combines the power of crowd wisdom, real-time trading signals, and advanced tools to help you make informed trading decisions and maximize your potential. It's time to take your trading experience to the next level. Join Tycoon Signals today by visiting our website at and signing up for a free account. Start exploring the platform and discover the array of features and resources designed to empower you on your trading journey. And guess what? Our premium subscription comes with a FREE 7-day trial, so you can explore all the features with zero risk! No payment required! 💯 Thank you for being a part of our journey. We look forward to seeing you thrive on Tycoon Signals.

Tycoon Signals is now LIVE🎉 We are thrilled to announce that Tycoon Signals, the innovative social trading platform, is now LIVE and ready to empower you on your trading journey. After months of development and fine-tuning, we're excited to invite you to join our vibrant community of traders and unlock a world of opportunities. At Tycoon Signals, we understand the challenges and complexities of trading in today's fast-paced markets. That's why we've created a platform that combines the power of crowd wisdom, real-time trading signals, and advanced tools to help you make informed trading decisions and maximize your potential. It's time to take your trading experience to the next level. Join Tycoon Signals today by visiting our website at and signing up for a free account. Start exploring the platform and discover the array of features and resources designed to empower you on your trading journey. And guess what? Our premium subscription comes with a FREE 7-day trial, so you can explore all the features with zero risk! No payment required! 💯 Thank you for being a part of our journey. We look forward to seeing you thrive on Tycoon Signals.

Tycoon

111,451 次观看 • 3 年前

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

elvis

467,434 次观看 • 6 个月前

The 25th Round of Talks Between the Special Representatives of China and India on the Boundary Question was held in Beijing. China’s Special Representative, Member of the Political Bureau of the CPC Central Committee, and Director of the Office of the Central Commission for Foreign Affairs Wang Yi had comprehensive, in-depth, friendly and candid communication with India’s Special Representative and National Security Advisor Ajit Doval on the China-India boundary question and bilateral relations. Wang Yi noted that China and India are important neighbors to each other, and both are major developing countries and representatives of emerging economies. A sound and steady development of China-India relations serves the fundamental interests of the two peoples, meets the common aspiration of Global South countries, and conforms to the trend of the times. The China-India relationship has gone beyond the bilateral scope and bears global and strategic significance. In recent years, President Xi Jinping and Prime Minister Narendra Modi held two meetings in Kazan and Tianjin, reaching a series of important common understandings that charted the course for the improvement and development of bilateral relations. China is ready to work with India to view and handle the bilateral relations from a strategic and long-term perspective, strengthen communication, enhance mutual understanding, resolve differences and overcome obstacles, so as to be good-neighborly friends and partners that help each other succeed, and engage in a cooperative pas de deux of the dragon and the elephant. Wang Yi stated that the two sides are implementing in an orderly manner the common understandings reached at the Special Representatives’ talks. Bilateral institutional exchanges and cooperation are gradually resuming, with both sides committed to safeguarding peace and tranquility in the border areas. The two sides should draw lessons from history, place the boundary question in an appropriate position in bilateral relations, keep moving forward without stagnation, regression or deviation, and gradually foster a positive narrative on China-India boundary affairs, making dialogue, peace, consultation and cooperation the mainstream, so as to inject positive factors into the sound and steady development of bilateral relations. The two sides had in-depth discussions on advancing boundary delimitation negotiations, properly managing and controlling the border, improving relevant mechanisms and promoting cross-border cooperation. They reiterated that, in accordance with the political parameters and guiding principles agreed in 2005, and in the spirit of mutual respect and mutual understanding, they will give full play to the Special Representatives mechanism to seek a fair, reasonable and mutually acceptable package solution to the boundary question. The two sides will continue to properly handle the boundary question through dialogue and consultation, and jointly uphold peace and tranquility in the border areas. The two sides agreed to hold the 26th Round of Talks Between the Special Representatives of China and India on the Boundary Question in India in 2027.

The 25th Round of Talks Between the Special Representatives of China and India on the Boundary Question was held in Beijing. China’s Special Representative, Member of the Political Bureau of the CPC Central Committee, and Director of the Office of the Central Commission for Foreign Affairs Wang Yi had comprehensive, in-depth, friendly and candid communication with India’s Special Representative and National Security Advisor Ajit Doval on the China-India boundary question and bilateral relations. Wang Yi noted that China and India are important neighbors to each other, and both are major developing countries and representatives of emerging economies. A sound and steady development of China-India relations serves the fundamental interests of the two peoples, meets the common aspiration of Global South countries, and conforms to the trend of the times. The China-India relationship has gone beyond the bilateral scope and bears global and strategic significance. In recent years, President Xi Jinping and Prime Minister Narendra Modi held two meetings in Kazan and Tianjin, reaching a series of important common understandings that charted the course for the improvement and development of bilateral relations. China is ready to work with India to view and handle the bilateral relations from a strategic and long-term perspective, strengthen communication, enhance mutual understanding, resolve differences and overcome obstacles, so as to be good-neighborly friends and partners that help each other succeed, and engage in a cooperative pas de deux of the dragon and the elephant. Wang Yi stated that the two sides are implementing in an orderly manner the common understandings reached at the Special Representatives’ talks. Bilateral institutional exchanges and cooperation are gradually resuming, with both sides committed to safeguarding peace and tranquility in the border areas. The two sides should draw lessons from history, place the boundary question in an appropriate position in bilateral relations, keep moving forward without stagnation, regression or deviation, and gradually foster a positive narrative on China-India boundary affairs, making dialogue, peace, consultation and cooperation the mainstream, so as to inject positive factors into the sound and steady development of bilateral relations. The two sides had in-depth discussions on advancing boundary delimitation negotiations, properly managing and controlling the border, improving relevant mechanisms and promoting cross-border cooperation. They reiterated that, in accordance with the political parameters and guiding principles agreed in 2005, and in the spirit of mutual respect and mutual understanding, they will give full play to the Special Representatives mechanism to seek a fair, reasonable and mutually acceptable package solution to the boundary question. The two sides will continue to properly handle the boundary question through dialogue and consultation, and jointly uphold peace and tranquility in the border areas. The two sides agreed to hold the 26th Round of Talks Between the Special Representatives of China and India on the Boundary Question in India in 2027.

Xu Feihong

10,730 次观看 • 1 个月前