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An unbiased study of whole biological systems is key to deciphering complexity. Our new paper describes the steps & applications of vDISCO whole mouse imaging in Nature Protocols work by Ruiyao Marika Cai, Ilgın Kolabas et al. #vDISCO #clearing 🧵👇1/n

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Ali Max Erturk

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49,195 просмотров • 3 лет назад •via X (Twitter)

ОбразованиеЗдоровье и велнесНаука и технологии#vDISCO#clearing
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Using vDISCO tissue clearing, and a new ultrabright chemical labeling strategy, this Neuron paper introduces LINCS, a powerful method for rapid 3D connectivity mapping in large tissue samples, from whole brains to whole bodies. A very nice advance for scalable circuit mapping, especially by combining strong, uniform labeling with sparse single-neuron reconstruction. Outstanding work by the Rui Lin lab. Full paper: #TissueClearing #LightSheetMicroscopy #Neuroscience #BrainMapping #Connectomics #3DImaging
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Using vDISCO tissue clearing, and a new ultrabright chemical labeling strategy, this Neuron paper introduces LINCS, a powerful method for rapid 3D connectivity mapping in large tissue samples, from whole brains to whole bodies. A very nice advance for scalable circuit mapping, especially by combining strong, uniform labeling with sparse single-neuron reconstruction. Outstanding work by the Rui Lin lab. Full paper: #TissueClearing #LightSheetMicroscopy #Neuroscience #BrainMapping #Connectomics #3DImaging

Ali Max Erturk

14,962 просмотров • 4 месяцев назад

Each month an #egg is ovulated from the #ovary, starting the journey of reproduction. But how does ovulation occur?🥚 Our latest work in Nature Cell Biology led by Christopher Thomas and Tabea Marx, describes the control of #ovulation using live imaging. (1/7)
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Each month an #egg is ovulated from the #ovary, starting the journey of reproduction. But how does ovulation occur?🥚 Our latest work in Nature Cell Biology led by Christopher Thomas and Tabea Marx, describes the control of #ovulation using live imaging. (1/7)

Schuh Lab

235,938 просмотров • 1 год назад

Sneaky, spoiled Mwana has unlocked a whole new level of relaxation: nursing and napping, in one fell swoop. Now that Murera is progressing in her pregnancy, she is less generous about breastfeeding, but Mwana still manages to sneak in sips here and there. It’s as if she thinks that Murera won’t even notice she’s there! Mwana is one of our grandkids: wild calves born to an orphan we rescued, raised, and rewilded - and the greatest testament to the success of our work. Meet our grandcalves:
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Sneaky, spoiled Mwana has unlocked a whole new level of relaxation: nursing and napping, in one fell swoop. Now that Murera is progressing in her pregnancy, she is less generous about breastfeeding, but Mwana still manages to sneak in sips here and there. It’s as if she thinks that Murera won’t even notice she’s there! Mwana is one of our grandkids: wild calves born to an orphan we rescued, raised, and rewilded - and the greatest testament to the success of our work. Meet our grandcalves:

Sheldrick Wildlife Trust

25,755 просмотров • 16 дней назад

Valthos builds next-generation biodefense. Of all AI applications, biotechnology has the highest upside and most catastrophic downside. Heroes at the frontlines of biodefense are working every day to protect the world against the worst case. But the pace of biotech is against them: more powerful methods to design biological systems, with near-universal access, open up an increasing surface area of threats. In this new world, the only way forward is to be faster. So we set out to build the tech stack for biodefense. Our team of computational biologists and software engineers applies frontier AI to identify biological threats and update medical countermeasures in real-time. We are backed by $30M from OpenAI, Lux Capital, Founders Fund and others including Definition. We are actively hiring engineers to join in the mission - if that sounds like you, get in touch.
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Valthos builds next-generation biodefense. Of all AI applications, biotechnology has the highest upside and most catastrophic downside. Heroes at the frontlines of biodefense are working every day to protect the world against the worst case. But the pace of biotech is against them: more powerful methods to design biological systems, with near-universal access, open up an increasing surface area of threats. In this new world, the only way forward is to be faster. So we set out to build the tech stack for biodefense. Our team of computational biologists and software engineers applies frontier AI to identify biological threats and update medical countermeasures in real-time. We are backed by $30M from OpenAI, Lux Capital, Founders Fund and others including Definition. We are actively hiring engineers to join in the mission - if that sounds like you, get in touch.

Valthos

1,422,853 просмотров • 9 месяцев назад

Evolution is not computable. It seems that life itself is proceeding toward a meta-law of increasing complexity. As the basic laws of physics result incomplete to provide all the answers to comprehend natural phenomena like biological evolution, novelties and abstraction. Scientists have proposed to use Functional Information Theory that supposedly promises a way to frame the exponential twists of all kinds of evolving systems. But turned out that to explain the degree of diversification, and convolutional outcome that the intelligent life is taking, isn’t a mathematical or a scientific problem but a philosophical one. Evolution isn’t computable. There are many more idiosyncratic pathways that the universe takes that do not follow the classical arrow of time imposed by the entropic principle. Although information itself may be a key to unlock unknown aspects, there might be a separate arrow in time able to define the increasing of complexity. Evolution is constantly creating not just new contextual knowledge but new possibilities for our consciousness to expand. At the same time the non computability issue touches the heart of what makes life so magical, unpredictable and rewarding. 🔗
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Evolution is not computable. It seems that life itself is proceeding toward a meta-law of increasing complexity. As the basic laws of physics result incomplete to provide all the answers to comprehend natural phenomena like biological evolution, novelties and abstraction. Scientists have proposed to use Functional Information Theory that supposedly promises a way to frame the exponential twists of all kinds of evolving systems. But turned out that to explain the degree of diversification, and convolutional outcome that the intelligent life is taking, isn’t a mathematical or a scientific problem but a philosophical one. Evolution isn’t computable. There are many more idiosyncratic pathways that the universe takes that do not follow the classical arrow of time imposed by the entropic principle. Although information itself may be a key to unlock unknown aspects, there might be a separate arrow in time able to define the increasing of complexity. Evolution is constantly creating not just new contextual knowledge but new possibilities for our consciousness to expand. At the same time the non computability issue touches the heart of what makes life so magical, unpredictable and rewarding. 🔗

Maurizio Iβλἄ

15,809 просмотров • 1 год назад

🌟 Explore an amazing project that brings cultural landmarks to life through an AI-powered digital layer! We have supported our friends from SmartRDI, a cutting-edge R&D spin-off from Universitatea POLITEHNICA din București, on their journey to reimagine heritage in a whole new way, based on federated learning, edge computing and beyond 5G networks as a part of the TrialsNet Project project. 💪 As always, our amazing community played a key role in AI training, by solving over 6,000 data labeling tasks that helped this innovative solution! 🎥 Watch the demo & read more about this case study in our newest blog post:
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🌟 Explore an amazing project that brings cultural landmarks to life through an AI-powered digital layer! We have supported our friends from SmartRDI, a cutting-edge R&D spin-off from Universitatea POLITEHNICA din București, on their journey to reimagine heritage in a whole new way, based on federated learning, edge computing and beyond 5G networks as a part of the TrialsNet Project project. 💪 As always, our amazing community played a key role in AI training, by solving over 6,000 data labeling tasks that helped this innovative solution! 🎥 Watch the demo & read more about this case study in our newest blog post:

Timeworx

27,451 просмотров • 1 год назад

E11 Bio is excited to unveil PRISM technology for mapping brain wiring with simple light microscopes. Today, brain mapping in humans and other mammals is bottlenecked by accurate neuron tracing. PRISM uses molecular ID codes and AI to help neurons trace themselves. We discovered a new cell barcoding approach exceeding comparable methods by more than 750x. This is the heart of PRISM. We integrated this capability with microscopy and AI image analysis to automatically trace neurons at high resolution and annotate them with molecular features. This is a key advance towards economically viable brain mapping - 95% of costs stem from neuron tracing. It is also an important step towards democratizing neuron tracing for everyday neuroscience. Solving these problems is critical for curing brain disorders, building safer and human-like AI, and even simulating brain function. In our first pilot study, we acquired a unique dataset in mouse hippocampus. Barcodes improved the accuracy of tracing genetically labelled neurons by 8x – with a clear path to 100x or more. They also permit tracing across spatial gaps – essential for mitigating tissue section loss in whole-brain scaling. Using molecular annotation, we uncover an intriguing feature of synaptic organization, demonstrating how PRISM can be used for systematic discovery 🧵
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E11 Bio is excited to unveil PRISM technology for mapping brain wiring with simple light microscopes. Today, brain mapping in humans and other mammals is bottlenecked by accurate neuron tracing. PRISM uses molecular ID codes and AI to help neurons trace themselves. We discovered a new cell barcoding approach exceeding comparable methods by more than 750x. This is the heart of PRISM. We integrated this capability with microscopy and AI image analysis to automatically trace neurons at high resolution and annotate them with molecular features. This is a key advance towards economically viable brain mapping - 95% of costs stem from neuron tracing. It is also an important step towards democratizing neuron tracing for everyday neuroscience. Solving these problems is critical for curing brain disorders, building safer and human-like AI, and even simulating brain function. In our first pilot study, we acquired a unique dataset in mouse hippocampus. Barcodes improved the accuracy of tracing genetically labelled neurons by 8x – with a clear path to 100x or more. They also permit tracing across spatial gaps – essential for mitigating tissue section loss in whole-brain scaling. Using molecular annotation, we uncover an intriguing feature of synaptic organization, demonstrating how PRISM can be used for systematic discovery 🧵

Andrew Payne

112,354 просмотров • 10 месяцев назад

We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. Blog: Code: Like AlphaEvolve and its variants, our framework leverages LLMs to find state-of-the-art solutions to complex problems, but using orders of magnitude fewer resources! Many evolutionary AI systems are powerful but act like brute-force engines, burning thousands of samples to find good solutions. This makes discovery slow and expensive. We took inspiration from the efficiency of nature. ‘Shinka’ (進化) is Japanese for evolution, and we designed our system to be just as resourceful. On the classic circle packing optimization problem, ShinkaEvolve discovered a new state-of-the-art solution using only 150 samples. This is a big leap in efficiency compared to previous methods that required thousands of evaluations. We applied ShinkaEvolve to a diverse set of hard problems with real-world applications: 1/ AIME Math Reasoning: It evolved sophisticated agentic scaffolds that significantly outperform strong baselines, discovering an entire Pareto frontier of solutions trading performance for efficiency. 2/ Competitive Programming: On ALE-Bench (a benchmark for NP-Hard optimization problems), ShinkaEvolve took the best existing agent's solutions and improved them, turning a 5th place solution on one task into a 2nd place leaderboard rank in a competitive programming competition. 3/ LLM Training: We even turned ShinkaEvolve inward to improve LLMs themselves. It tackled the open challenge of designing load balancing losses for Mixture-of-Experts (MoE) models. It discovered a novel loss function that leads to better expert specialization and consistently improves model performance and perplexity. ShinkaEvolve achieves its remarkable sample-efficiency through three key innovations that work together: (1) an adaptive parent sampling strategy to balance exploration and exploitation, (2) novelty-based rejection filtering to avoid redundant work, and (3) a bandit-based LLM ensemble that dynamically picks the best model for the job. By making ShinkaEvolve open-source and highly sample-efficient, our goal is to democratize access to advanced, open-ended discovery tools. Our vision for ShinkaEvolve is to be an easy-to-use companion tool to help scientists and engineers with their daily work. We believe that building more efficient, nature-inspired systems is key to unlocking the future of AI-driven scientific research. We are excited to see what the community builds with it! Learn more in our technical report:
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We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. Blog: Code: Like AlphaEvolve and its variants, our framework leverages LLMs to find state-of-the-art solutions to complex problems, but using orders of magnitude fewer resources! Many evolutionary AI systems are powerful but act like brute-force engines, burning thousands of samples to find good solutions. This makes discovery slow and expensive. We took inspiration from the efficiency of nature. ‘Shinka’ (進化) is Japanese for evolution, and we designed our system to be just as resourceful. On the classic circle packing optimization problem, ShinkaEvolve discovered a new state-of-the-art solution using only 150 samples. This is a big leap in efficiency compared to previous methods that required thousands of evaluations. We applied ShinkaEvolve to a diverse set of hard problems with real-world applications: 1/ AIME Math Reasoning: It evolved sophisticated agentic scaffolds that significantly outperform strong baselines, discovering an entire Pareto frontier of solutions trading performance for efficiency. 2/ Competitive Programming: On ALE-Bench (a benchmark for NP-Hard optimization problems), ShinkaEvolve took the best existing agent's solutions and improved them, turning a 5th place solution on one task into a 2nd place leaderboard rank in a competitive programming competition. 3/ LLM Training: We even turned ShinkaEvolve inward to improve LLMs themselves. It tackled the open challenge of designing load balancing losses for Mixture-of-Experts (MoE) models. It discovered a novel loss function that leads to better expert specialization and consistently improves model performance and perplexity. ShinkaEvolve achieves its remarkable sample-efficiency through three key innovations that work together: (1) an adaptive parent sampling strategy to balance exploration and exploitation, (2) novelty-based rejection filtering to avoid redundant work, and (3) a bandit-based LLM ensemble that dynamically picks the best model for the job. By making ShinkaEvolve open-source and highly sample-efficient, our goal is to democratize access to advanced, open-ended discovery tools. Our vision for ShinkaEvolve is to be an easy-to-use companion tool to help scientists and engineers with their daily work. We believe that building more efficient, nature-inspired systems is key to unlocking the future of AI-driven scientific research. We are excited to see what the community builds with it! Learn more in our technical report:

Sakana AI

360,198 просмотров • 10 месяцев назад

The three-body problem is a classic and notoriously difficult question in physics and mathematics. It asks: How do three objects, such as stars, planets, or moons, move under the influence of each other’s gravity? Unlike the simpler two-body problem, which has precise and predictable analytical solutions (like the Earth orbiting the Sun in an ellipse), the three-body problem quickly becomes chaotic and unpredictable. This complexity arises because each object's motion constantly affects, and is affected by, the other two. These gravitational interactions form a tangled and unstable system. In fact, there's no general formula that can solve all three-body scenarios exactly. This was first demonstrated in the 19th century by Henri Poincaré, whose work laid the foundations for chaos theory. While exact solutions remain elusive, scientists have discovered certain special cases where the motion is stable or periodic. One well-known example is the Lagrange points, where three bodies can maintain a stable triangular configuration. However, such neat solutions are rare. Today, thanks to powerful computers, researchers can simulate three-body systems with remarkable accuracy, helping us study triple-star systems, exoplanets, and asteroid dynamics. Yet even small changes in the starting conditions can lead to dramatically different outcomes, highlighting the sensitive dependence on initial conditions that defines chaotic systems. The three-body problem is actually a specific case of the broader n-body problem, where n can be any number of interacting bodies. As n increases, the complexity and unpredictability rise even further. The three-body problem serves as a vivid example of how simple laws of nature, like Newton’s law of gravity, can produce behavior that is intricate, unexpected, and profoundly difficult to predict.
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The three-body problem is a classic and notoriously difficult question in physics and mathematics. It asks: How do three objects, such as stars, planets, or moons, move under the influence of each other’s gravity? Unlike the simpler two-body problem, which has precise and predictable analytical solutions (like the Earth orbiting the Sun in an ellipse), the three-body problem quickly becomes chaotic and unpredictable. This complexity arises because each object's motion constantly affects, and is affected by, the other two. These gravitational interactions form a tangled and unstable system. In fact, there's no general formula that can solve all three-body scenarios exactly. This was first demonstrated in the 19th century by Henri Poincaré, whose work laid the foundations for chaos theory. While exact solutions remain elusive, scientists have discovered certain special cases where the motion is stable or periodic. One well-known example is the Lagrange points, where three bodies can maintain a stable triangular configuration. However, such neat solutions are rare. Today, thanks to powerful computers, researchers can simulate three-body systems with remarkable accuracy, helping us study triple-star systems, exoplanets, and asteroid dynamics. Yet even small changes in the starting conditions can lead to dramatically different outcomes, highlighting the sensitive dependence on initial conditions that defines chaotic systems. The three-body problem is actually a specific case of the broader n-body problem, where n can be any number of interacting bodies. As n increases, the complexity and unpredictability rise even further. The three-body problem serves as a vivid example of how simple laws of nature, like Newton’s law of gravity, can produce behavior that is intricate, unexpected, and profoundly difficult to predict.

Erika 

215,611 просмотров • 1 год назад

Either reality is such that the Universe is an eternal and linearly infinite bubbling ocean of physical matter, where an infinite number of worlds arise and take shape — including infinitely identical ones — or our logic lacks something essential for understanding the limits of the Universe. : The author presents two stark alternatives for understanding reality. Either the Universe is an eternal, linearly infinite ocean of physical matter — a ceaselessly bubbling expanse in which an infinite number of worlds continuously arise, evolve, and sometimes mirror one another exactly or our current logic is fundamentally incomplete, missing some essential principle needed to grasp the true boundaries (or boundarylessness) of existence. This dilemma forces us to confront the limits of human reason when faced with cosmic scale. If the first option holds, then our own world is merely one fleeting bubble among countless others, and every event, every life, every civilization is repeated infinitely across the vastness. If the second is true, then reality may possess structures or dimensions that lie permanently beyond our conceptual reach. In either case, the question reveals the profound humility required when contemplating the ultimate nature of the cosmos. Our logic may be powerful, but it is not yet sufficient to settle whether infinity or incompleteness better describes the whole.
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Either reality is such that the Universe is an eternal and linearly infinite bubbling ocean of physical matter, where an infinite number of worlds arise and take shape — including infinitely identical ones — or our logic lacks something essential for understanding the limits of the Universe. : The author presents two stark alternatives for understanding reality. Either the Universe is an eternal, linearly infinite ocean of physical matter — a ceaselessly bubbling expanse in which an infinite number of worlds continuously arise, evolve, and sometimes mirror one another exactly or our current logic is fundamentally incomplete, missing some essential principle needed to grasp the true boundaries (or boundarylessness) of existence. This dilemma forces us to confront the limits of human reason when faced with cosmic scale. If the first option holds, then our own world is merely one fleeting bubble among countless others, and every event, every life, every civilization is repeated infinitely across the vastness. If the second is true, then reality may possess structures or dimensions that lie permanently beyond our conceptual reach. In either case, the question reveals the profound humility required when contemplating the ultimate nature of the cosmos. Our logic may be powerful, but it is not yet sufficient to settle whether infinity or incompleteness better describes the whole.

Zafar Mirzo | Quotes

1,057,985 просмотров • 5 месяцев назад

✅Explanation of Meaning (by parts): 1. “Having studied and confirmed that biological evolution on planet Earth” : The author begins by referencing the study of biological evolution on Earth, asserting that scientific investigation has established a clear understanding of its processes, setting a foundation for further claims. 2. “which gave birth to all living things” : Evolution is credited with the origin of all life on Earth, emphasizing its role as the mechanism through which the diversity and complexity of living organisms, including humans, arose over billions of years. 3. “had no purpose” : The author asserts that this evolutionary process lacks a predetermined purpose or intentional design, suggesting that life’s development is driven by natural, undirected mechanisms like mutation and selection, not a teleological goal. 4. “one can easily find answers to other fundamental questions of existence” : By accepting evolution’s purposelessness, the author claims that it becomes simpler to address broader existential questions, implying that this understanding provides a framework for tackling issues like the meaning of life or the Universe’s nature. 🗝️Main Idea (refined version): The author asserts that scientific study confirms biological evolution on Earth, which produced all life, operates without purpose, driven by natural mechanisms rather than intentional design. This understanding facilitates answers to fundamental existential questions, offering clarity on life’s meaning and our place in the cosmos. Recognizing evolution’s purposelessness challenges teleological views, fostering a perspective rooted in empirical reality. It encourages humility, acknowledging our existence as a product of chance rather than destiny. This insight simplifies complex philosophical inquiries, aligning them with scientific principles. It inspires a rational approach to exploring existence, free from preconceived notions of purpose. Ultimately, it empowers us to construct personal and collective meaning within a Universe governed by natural laws, embracing our role as products of a remarkable, undirected process.
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✅Explanation of Meaning (by parts): 1. “Having studied and confirmed that biological evolution on planet Earth” : The author begins by referencing the study of biological evolution on Earth, asserting that scientific investigation has established a clear understanding of its processes, setting a foundation for further claims. 2. “which gave birth to all living things” : Evolution is credited with the origin of all life on Earth, emphasizing its role as the mechanism through which the diversity and complexity of living organisms, including humans, arose over billions of years. 3. “had no purpose” : The author asserts that this evolutionary process lacks a predetermined purpose or intentional design, suggesting that life’s development is driven by natural, undirected mechanisms like mutation and selection, not a teleological goal. 4. “one can easily find answers to other fundamental questions of existence” : By accepting evolution’s purposelessness, the author claims that it becomes simpler to address broader existential questions, implying that this understanding provides a framework for tackling issues like the meaning of life or the Universe’s nature. 🗝️Main Idea (refined version): The author asserts that scientific study confirms biological evolution on Earth, which produced all life, operates without purpose, driven by natural mechanisms rather than intentional design. This understanding facilitates answers to fundamental existential questions, offering clarity on life’s meaning and our place in the cosmos. Recognizing evolution’s purposelessness challenges teleological views, fostering a perspective rooted in empirical reality. It encourages humility, acknowledging our existence as a product of chance rather than destiny. This insight simplifies complex philosophical inquiries, aligning them with scientific principles. It inspires a rational approach to exploring existence, free from preconceived notions of purpose. Ultimately, it empowers us to construct personal and collective meaning within a Universe governed by natural laws, embracing our role as products of a remarkable, undirected process.

Zafar Mirzo | Quotes

2,924,919 просмотров • 1 год назад

What is an individual? Can we accept the idea that an individual is not an isolated being, but a totality of traits, ideas, and deeds that arise within humanity, are shaped by it, and return to it? Every human being is a temporary form through which humanity expresses a part of itself. : The author redefines the individual not as an isolated entity but as a transient expression of humanity itself: a unique constellation of traits, ideas, and deeds that emerge from the collective, are molded by it, and ultimately return to enrich it. Each person serves as a temporary vessel through which humanity manifests and explores its own nature. This dissolves the illusion of absolute separateness, revealing every life as an integral thread in the living fabric of humankind. It portrays individuality as both gift and responsibility: a fleeting opportunity to contribute distinct value to the whole. The concept elevates personal existence to a sacred role in humanity’s continuous self-creation. It leads to recognition that our thoughts, actions, and choices ripple beyond the self, shaping the shared human story. Ultimately, framing every individual as both creation and co-creator of humanity’s evolving essence, bound in profound interdependence.
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What is an individual? Can we accept the idea that an individual is not an isolated being, but a totality of traits, ideas, and deeds that arise within humanity, are shaped by it, and return to it? Every human being is a temporary form through which humanity expresses a part of itself. : The author redefines the individual not as an isolated entity but as a transient expression of humanity itself: a unique constellation of traits, ideas, and deeds that emerge from the collective, are molded by it, and ultimately return to enrich it. Each person serves as a temporary vessel through which humanity manifests and explores its own nature. This dissolves the illusion of absolute separateness, revealing every life as an integral thread in the living fabric of humankind. It portrays individuality as both gift and responsibility: a fleeting opportunity to contribute distinct value to the whole. The concept elevates personal existence to a sacred role in humanity’s continuous self-creation. It leads to recognition that our thoughts, actions, and choices ripple beyond the self, shaping the shared human story. Ultimately, framing every individual as both creation and co-creator of humanity’s evolving essence, bound in profound interdependence.

Zafar Mirzo | Quotes

864,277 просмотров • 8 месяцев назад

for the last 6 weeks we've built something wild. an AI that talks to your whole company. every team, every week. it sits in your meetings and reads your Jira boards. constantly identifying communication gaps, catching misalignment in real time before it turns into wasted effort. we're 1 month into a pilot with an enterprise customer. it's already reduced meeting overhead and knows more about the day to day of the whole org than their CTO does. this is the future of work. a Jarvis that lives and grows alongside your company. we're creating a new species of software: Autonomous Organizational Intelligence. we're a cracked team of 3: ex MIT, Caltech, IBM. all prev founders, one with an 8 figure exit. we're calling it Sentra: the world's first Chief Alignment Officer. we're expanding our pilot program slowly. we think you're a perfect fit if you operate a rapidly scaling tech startup with 30+ people. sign up below if you're interested.
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for the last 6 weeks we've built something wild. an AI that talks to your whole company. every team, every week. it sits in your meetings and reads your Jira boards. constantly identifying communication gaps, catching misalignment in real time before it turns into wasted effort. we're 1 month into a pilot with an enterprise customer. it's already reduced meeting overhead and knows more about the day to day of the whole org than their CTO does. this is the future of work. a Jarvis that lives and grows alongside your company. we're creating a new species of software: Autonomous Organizational Intelligence. we're a cracked team of 3: ex MIT, Caltech, IBM. all prev founders, one with an 8 figure exit. we're calling it Sentra: the world's first Chief Alignment Officer. we're expanding our pilot program slowly. we think you're a perfect fit if you operate a rapidly scaling tech startup with 30+ people. sign up below if you're interested.

jae

19,405 просмотров • 1 год назад

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.
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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.

Sakana AI

751,019 просмотров • 1 год назад

MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers paper page: Recent advances in generative AI have significantly enhanced image and video editing, particularly in the context of text prompt control. State-of-the-art approaches predominantly rely on diffusion models to accomplish these tasks. However, the computational demands of diffusion-based methods are substantial, often necessitating large-scale paired datasets for training, and therefore challenging the deployment in practical applications. This study addresses this challenge by breaking down the text-based video editing process into two separate stages. In the first stage, we leverage an existing text-to-image diffusion model to simultaneously edit a few keyframes without additional fine-tuning. In the second stage, we introduce an efficient model called MaskINT, which is built on non-autoregressive masked generative transformers and specializes in frame interpolation between the keyframes, benefiting from structural guidance provided by intermediate frames. Our comprehensive set of experiments illustrates the efficacy and efficiency of MaskINT when compared to other diffusion-based methodologies. This research offers a practical solution for text-based video editing and showcases the potential of non-autoregressive masked generative transformers in this domain.
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MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers paper page: Recent advances in generative AI have significantly enhanced image and video editing, particularly in the context of text prompt control. State-of-the-art approaches predominantly rely on diffusion models to accomplish these tasks. However, the computational demands of diffusion-based methods are substantial, often necessitating large-scale paired datasets for training, and therefore challenging the deployment in practical applications. This study addresses this challenge by breaking down the text-based video editing process into two separate stages. In the first stage, we leverage an existing text-to-image diffusion model to simultaneously edit a few keyframes without additional fine-tuning. In the second stage, we introduce an efficient model called MaskINT, which is built on non-autoregressive masked generative transformers and specializes in frame interpolation between the keyframes, benefiting from structural guidance provided by intermediate frames. Our comprehensive set of experiments illustrates the efficacy and efficiency of MaskINT when compared to other diffusion-based methodologies. This research offers a practical solution for text-based video editing and showcases the potential of non-autoregressive masked generative transformers in this domain.

AK

25,449 просмотров • 2 лет назад

1 hour meditation + 5 rounds of cross fit this morning: run > push ups > dumbbell squats > dumbbell deadlifts > snatch Why? Strong body > strong mind > strong spirit Intense work, intense rest We are not only getting ready for TGE, that is just day 1. We are getting ready to define a whole new industry, Forbes called us cloud 3.0 0G Labs (Home of Infinite AI) aspires to be an institutional-grade digital asset and for this things like KYC are necessary and provide the confidence for this next phase of Web3 institutional adoption. Big thank you to our community for being with us since day 0! Let’s get ready for day 1! Time to BUIDL more!
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1 hour meditation + 5 rounds of cross fit this morning: run > push ups > dumbbell squats > dumbbell deadlifts > snatch Why? Strong body > strong mind > strong spirit Intense work, intense rest We are not only getting ready for TGE, that is just day 1. We are getting ready to define a whole new industry, Forbes called us cloud 3.0 0G Labs (Home of Infinite AI) aspires to be an institutional-grade digital asset and for this things like KYC are necessary and provide the confidence for this next phase of Web3 institutional adoption. Big thank you to our community for being with us since day 0! Let’s get ready for day 1! Time to BUIDL more!

Michael Heinrich (Ø,G)

23,026 просмотров • 10 месяцев назад

The ShimmerSea Training DEX Competition was a huge success! Our goal with the event was to onboard as many users as possible to the world of #DeFi while at the same time growing our community! Let's celebrate some key accomplishments we achieved together🧵👇 1) We welcomed over 19,500 real users to - a testament to our growing and active community! Thank you for joining us on this exciting journey.🐙 2) Out of these, 9400+ became active participants in the competition. Trading, Staking, Farming and participating in the snapshots!🏆 3) Together, we managed to collect an astounding 4.2 million LUMsea! A huge token of trust from our users, showing us how invested you are in our mission. 4) Over 1.3 million smart contract interactions were carried out, truly putting ShimmerSea's capabilities to the test! This was backed by both our internal analytics and blockchain data, which confirmed the authenticity of each interaction (excluding bots). Even during the highest levels of stress testing it was amazing watching the #DEX run steady and reliable, like a firm lighthouse enduring the roughest seas during a storm.🌊 5) We experienced a 1200% user growth and our community now boasts over 15,000 members! It's incredibly humbling to see our family grow so rapidly.🚀 6) Last but not least, we had 1000% fun! Learning something new is easiest when packed into a game! Thank you for making this experience a joyful ride. We look forward to achieving even more together in our next adventures!💙 Next: This Sunday, we'll unveil the top 10 winners of our competition! But that's not all - a whole week of rewards will follow. Stay tuned! Shimmer #Shimmer #IOTA
0:16

The ShimmerSea Training DEX Competition was a huge success! Our goal with the event was to onboard as many users as possible to the world of #DeFi while at the same time growing our community! Let's celebrate some key accomplishments we achieved together🧵👇 1) We welcomed over 19,500 real users to - a testament to our growing and active community! Thank you for joining us on this exciting journey.🐙 2) Out of these, 9400+ became active participants in the competition. Trading, Staking, Farming and participating in the snapshots!🏆 3) Together, we managed to collect an astounding 4.2 million LUMsea! A huge token of trust from our users, showing us how invested you are in our mission. 4) Over 1.3 million smart contract interactions were carried out, truly putting ShimmerSea's capabilities to the test! This was backed by both our internal analytics and blockchain data, which confirmed the authenticity of each interaction (excluding bots). Even during the highest levels of stress testing it was amazing watching the #DEX run steady and reliable, like a firm lighthouse enduring the roughest seas during a storm.🌊 5) We experienced a 1200% user growth and our community now boasts over 15,000 members! It's incredibly humbling to see our family grow so rapidly.🚀 6) Last but not least, we had 1000% fun! Learning something new is easiest when packed into a game! Thank you for making this experience a joyful ride. We look forward to achieving even more together in our next adventures!💙 Next: This Sunday, we'll unveil the top 10 winners of our competition! But that's not all - a whole week of rewards will follow. Stay tuned! Shimmer #Shimmer #IOTA

MagicSea

24,080 просмотров • 3 лет назад

Regular roundup of Russian Telegram chatter. 👉 iPhone 15 in Russia has become the cheapest in the world. On marketplaces it costs about 85 thousand rubles, from private traders - from 70 thousand. In the USA, the iPhone 15 costs an average of 92 thousand rubles, in Turkey - 174 thousand rubles, in Germany - 106 thousand rubles, and in the UAE - 100 thousand rubles. In Russia, #Apple sells through certified and authorised retailers in Russia and does not control purchasing costs, so sellers set competitive prices. 👉 French #Auchan began selling baskets wrapped in opaque film with various goods inside. They ask for up to 5,000 rubles, and inside there are unsold equipment, household goods and accessories. Auchan is one of the western companies that has remained a firm supporter of Russia and key economic partners since our adventure into Ukraine 🤣 👉 A national database of genetic information will be created in Russia. It will store biological samples of wildlife, plants, genes of especially dangerous viruses and pure russian personal genetic data of a person to ensure we retain our pure race genes. The register will be operational from September 1, 2025 in open mode. 👉 According to the Etazhi company, housing in Russia fell in price by 56% over the month. The largest price reduction in Moscow - prices fell by 66% of lots. Reason: there are not many buyers with a large share of their own funds on the market now. 👉 Over the past 4 months, Russian banks have collected 5 times more biometric data than in the past few years, the Central Bank reported. The total number of impressions in the Unified Biometric System (UBS) has exceeded 50 million. The database is updated by several thousand samples every day. This information is shared with they key departments in the Kremlin and recruitment offices of the military 👉 In St. Petersburg, more than 60 people were injured over the past 24 hours due to icy conditions and unclean streets. 👉 The number of Chinese trips to Russia has increased sharply over the year - from 130 thousand to 790 thousand, according to FSB data. 👉 The State Duma urged Russians not to grow the morning glory flower on their property. The fact is that its seeds contain hallucinogenic and narcotic substances. Now you can get up to two years in prison for growing it, said deputy Sergei Gavrilov. #Russian #Telegram #Roundup The chat is unverified. I do not endorse the views expressed, be wary of disinformation and DYOR. I monitor and translate Vatnik channels as a general mood check, so you don’t have to. Please retweet if you enjoyed this - it helps with visibility ! Buy me a Coffee if you can, to help keep my work going! 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇
0:19

Regular roundup of Russian Telegram chatter. 👉 iPhone 15 in Russia has become the cheapest in the world. On marketplaces it costs about 85 thousand rubles, from private traders - from 70 thousand. In the USA, the iPhone 15 costs an average of 92 thousand rubles, in Turkey - 174 thousand rubles, in Germany - 106 thousand rubles, and in the UAE - 100 thousand rubles. In Russia, #Apple sells through certified and authorised retailers in Russia and does not control purchasing costs, so sellers set competitive prices. 👉 French #Auchan began selling baskets wrapped in opaque film with various goods inside. They ask for up to 5,000 rubles, and inside there are unsold equipment, household goods and accessories. Auchan is one of the western companies that has remained a firm supporter of Russia and key economic partners since our adventure into Ukraine 🤣 👉 A national database of genetic information will be created in Russia. It will store biological samples of wildlife, plants, genes of especially dangerous viruses and pure russian personal genetic data of a person to ensure we retain our pure race genes. The register will be operational from September 1, 2025 in open mode. 👉 According to the Etazhi company, housing in Russia fell in price by 56% over the month. The largest price reduction in Moscow - prices fell by 66% of lots. Reason: there are not many buyers with a large share of their own funds on the market now. 👉 Over the past 4 months, Russian banks have collected 5 times more biometric data than in the past few years, the Central Bank reported. The total number of impressions in the Unified Biometric System (UBS) has exceeded 50 million. The database is updated by several thousand samples every day. This information is shared with they key departments in the Kremlin and recruitment offices of the military 👉 In St. Petersburg, more than 60 people were injured over the past 24 hours due to icy conditions and unclean streets. 👉 The number of Chinese trips to Russia has increased sharply over the year - from 130 thousand to 790 thousand, according to FSB data. 👉 The State Duma urged Russians not to grow the morning glory flower on their property. The fact is that its seeds contain hallucinogenic and narcotic substances. Now you can get up to two years in prison for growing it, said deputy Sergei Gavrilov. #Russian #Telegram #Roundup The chat is unverified. I do not endorse the views expressed, be wary of disinformation and DYOR. I monitor and translate Vatnik channels as a general mood check, so you don’t have to. Please retweet if you enjoyed this - it helps with visibility ! Buy me a Coffee if you can, to help keep my work going! 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇

Beefeater

59,608 просмотров • 2 лет назад