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Smart crystals can now perform complex motions... Check out our most recent paper in J. Am. Chem. Soc., where we demonstrate that adaptive crystals with colossal thermal expansion are capable of complex locomotion, such as rolling and even climbing up a slope! New York University NYU Abu Dhabi

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Panče Naumov, PhD ACSF FRSC

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14,743 просмотров • 1 год назад •via X (Twitter)

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What if I told you any shape can be broken down into circles? This visualization demonstrates the stunning power of the Fourier Transform. By using a series of rotating vectors—known as epicycles—we can reconstruct complex, continuous paths from simple circular motions. Each circle represents a specific frequency, phase, and amplitude. When these rotating arrows are added together, the resulting "tip" traces out the intricate outline you see here. It’s where pure mathematics meets digital art, proving that even the most complex designs are just a symphony of oscillations. Credit: mathswithmuza
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What if I told you any shape can be broken down into circles? This visualization demonstrates the stunning power of the Fourier Transform. By using a series of rotating vectors—known as epicycles—we can reconstruct complex, continuous paths from simple circular motions. Each circle represents a specific frequency, phase, and amplitude. When these rotating arrows are added together, the resulting "tip" traces out the intricate outline you see here. It’s where pure mathematics meets digital art, proving that even the most complex designs are just a symphony of oscillations. Credit: mathswithmuza

Mathematica

26,160 просмотров • 3 месяцев назад

The recent Massachusetts Institute of Technology (MIT) CSAIL paper published on Recursive Language Models is a fascinating look into how AI systems reason in 2026. You can check it out here ➡️ → The paper notes that even frontier models suffer from “context rot” as inputs grow longer. More tokens don’t mean more understanding. Instead of compressing or summarising, RLMs “treat long prompts as part of an external environment” …and let the model programmatically inspect, decompose, and recursively requery itself over precise sections. This matters in Web3. Why? Smart contracts are long, stateful, and brittle. One missed assumption = unnecessary hassle. In the video below, we applied RLM principles to improve the prompt shown. The old prompt would try to force multi-step pauses. Therefore breaking the AI's workflow. Now it decomposes requirements, scores confidence for each component, verifies the logic, and then synthesises. Result = Production-ready contracts with flagged risks, not blind single-pass outputs. Try it out with our Smart Contract Generator today!
0:15

The recent Massachusetts Institute of Technology (MIT) CSAIL paper published on Recursive Language Models is a fascinating look into how AI systems reason in 2026. You can check it out here ➡️ → The paper notes that even frontier models suffer from “context rot” as inputs grow longer. More tokens don’t mean more understanding. Instead of compressing or summarising, RLMs “treat long prompts as part of an external environment” …and let the model programmatically inspect, decompose, and recursively requery itself over precise sections. This matters in Web3. Why? Smart contracts are long, stateful, and brittle. One missed assumption = unnecessary hassle. In the video below, we applied RLM principles to improve the prompt shown. The old prompt would try to force multi-step pauses. Therefore breaking the AI's workflow. Now it decomposes requirements, scores confidence for each component, verifies the logic, and then synthesises. Result = Production-ready contracts with flagged risks, not blind single-pass outputs. Try it out with our Smart Contract Generator today!

ChainGPT

82,385 просмотров • 6 месяцев назад

How the 🆅🅴🅽🆃🆁🅸🅲🅻🅴 contracts.. . . . 💗Another great thing I picked up from Cardiothoracic surgery was understanding how the ventricles contract. The ventricle Is such a complex structure that we are learning more and more about. One thing that has helped us understand this complex structure is strain imaging and 3D echocardiography. We have learned that the ventricle contracts in 4 ways: contraction (radial) motion but it also has a twisting (torsional and circumferential) and shortening (longitudinal) motion. . . . 👐🏽The surgeon I always work with often described the hearts motion as “wringing of a towel.” This can be seen in the video above. The understanding of the multiple different motions of the heart has allowed us to better understand intrinsic myocardial disease and pick up disease earlier in its process allowing us to add disease modifying agents to slow and sometimes reverse the negative remodeling of the heart. . . . 💓So next time you think of your heart pumping don’t think of it in one motion (squeeze) but rather a Towel being wrung of water. The heart is such an amazing organ and we are just now really beginning to understand it’s truly complex physiology! . . . Have a great day! . . . . #Medicalschool #medschool #cardiologia #doctors #cardiotwitter #meded #EKG #Medstudent #cardiology #internalmedicine #patient #hospital #radiology #physiology #paschool #foamed #echo #physicalexam #anatomy #scrubs #surgery #pastudent #nursingstudent #nursing #PA #DO #Echocardiogram #MD #USMLE
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How the 🆅🅴🅽🆃🆁🅸🅲🅻🅴 contracts.. . . . 💗Another great thing I picked up from Cardiothoracic surgery was understanding how the ventricles contract. The ventricle Is such a complex structure that we are learning more and more about. One thing that has helped us understand this complex structure is strain imaging and 3D echocardiography. We have learned that the ventricle contracts in 4 ways: contraction (radial) motion but it also has a twisting (torsional and circumferential) and shortening (longitudinal) motion. . . . 👐🏽The surgeon I always work with often described the hearts motion as “wringing of a towel.” This can be seen in the video above. The understanding of the multiple different motions of the heart has allowed us to better understand intrinsic myocardial disease and pick up disease earlier in its process allowing us to add disease modifying agents to slow and sometimes reverse the negative remodeling of the heart. . . . 💓So next time you think of your heart pumping don’t think of it in one motion (squeeze) but rather a Towel being wrung of water. The heart is such an amazing organ and we are just now really beginning to understand it’s truly complex physiology! . . . Have a great day! . . . . #Medicalschool #medschool #cardiologia #doctors #cardiotwitter #meded #EKG #Medstudent #cardiology #internalmedicine #patient #hospital #radiology #physiology #paschool #foamed #echo #physicalexam #anatomy #scrubs #surgery #pastudent #nursingstudent #nursing #PA #DO #Echocardiogram #MD #USMLE

Jay Mohan, D.O., FACC, FSCAI, FASE, RPVI

37,150 просмотров • 2 лет назад

Our first test flight is just the beginning! Behind the scenes, we are focused on up-scaling and improving our technology. We are excited to announce that we have successfully tested the central subsystem of our Helix 2.0 oxygen-rich staged-combustion engine: the powerpack. We have performed two successful hot-fire tests in which we have shown steady-state operation and cavitation limits. The powerpack incorporates the turbopump and pre-burner(s). It is the most complex as well as the most mechanically and thermally stressed subsystem of a staged-combustion engine. This milestone validated key technological challenges, such as the simultaneous ignition of multiple pre-burners and turbopump cavitation performance. The results are in-line with the predictions from our design models. The closed-cycle architecture of Helix allows us to push the performance envelope further: Helix 2.0 is designed to deliver double the thrust (200kN), while mass, production technology and costs remain comparable to Helix 1.0. The result for our customers: more payload for a lower budget! Excited about this news? Check out our career portal for employment opportunities and help us to elevate our Helix staged-combustion engine technology to the next level! ➡️
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Our first test flight is just the beginning! Behind the scenes, we are focused on up-scaling and improving our technology. We are excited to announce that we have successfully tested the central subsystem of our Helix 2.0 oxygen-rich staged-combustion engine: the powerpack. We have performed two successful hot-fire tests in which we have shown steady-state operation and cavitation limits. The powerpack incorporates the turbopump and pre-burner(s). It is the most complex as well as the most mechanically and thermally stressed subsystem of a staged-combustion engine. This milestone validated key technological challenges, such as the simultaneous ignition of multiple pre-burners and turbopump cavitation performance. The results are in-line with the predictions from our design models. The closed-cycle architecture of Helix allows us to push the performance envelope further: Helix 2.0 is designed to deliver double the thrust (200kN), while mass, production technology and costs remain comparable to Helix 1.0. The result for our customers: more payload for a lower budget! Excited about this news? Check out our career portal for employment opportunities and help us to elevate our Helix staged-combustion engine technology to the next level! ➡️

Rocket Factory Augsburg

34,499 просмотров • 3 месяцев назад

June 4th, 1994 our lives forever changed. We said, “I do!”. With those two words, we said, yes, to all the highs, the lows, and everything in between. God has blessed us with four absolutely amazing children who are now amazing adults, with their own best friends/significant others (that they’re doing life with), we have three incredible grandsons, and a beautiful granddaughter on the way. We’ve lived where we both grew up (on the East Coast), and have now been out here in San Diego for just over 11 years. We’ve gotten jobs (and lost jobs), we’ve had more times than we can count where we couldn’t make ends meet, even though both you and I were working two, and sometimes three jobs at a time, and we’ve been blessed in ways that we could’ve never dreamed of. We’ve watched both my parents pass on, and are now dealing with the overwhelmingly difficult challenge of seeing your parents struggle with their own health in ways that no one should have to go through. Through it all (even in the midst of the chaos), we’ve been blessed to be by each other‘s sides! I thank God for you every day, Jillian! I love our adventures together (the big ones where we fly to somewhere we’ve never been before, and the little ones where we hop in the car with no agenda, and just drive). I love when we find ourselves in deeper conversation, laughter, and tears of joy then ever expected, and in the moments of silence, where no words are even spoken, but when we’re together, just being where our feet are. As the world (as we know it), keeps getting crazier and crazier, let’s continue to keep Christ in the center of all we do, keep leaning on and lifting each other up when it’s needed, and keep living the lives that we have been so incredibly blessed to live together. I love you with all my heart Jillian. Happy 32nd (heading into our 33rd year), Anniversary.
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June 4th, 1994 our lives forever changed. We said, “I do!”. With those two words, we said, yes, to all the highs, the lows, and everything in between. God has blessed us with four absolutely amazing children who are now amazing adults, with their own best friends/significant others (that they’re doing life with), we have three incredible grandsons, and a beautiful granddaughter on the way. We’ve lived where we both grew up (on the East Coast), and have now been out here in San Diego for just over 11 years. We’ve gotten jobs (and lost jobs), we’ve had more times than we can count where we couldn’t make ends meet, even though both you and I were working two, and sometimes three jobs at a time, and we’ve been blessed in ways that we could’ve never dreamed of. We’ve watched both my parents pass on, and are now dealing with the overwhelmingly difficult challenge of seeing your parents struggle with their own health in ways that no one should have to go through. Through it all (even in the midst of the chaos), we’ve been blessed to be by each other‘s sides! I thank God for you every day, Jillian! I love our adventures together (the big ones where we fly to somewhere we’ve never been before, and the little ones where we hop in the car with no agenda, and just drive). I love when we find ourselves in deeper conversation, laughter, and tears of joy then ever expected, and in the moments of silence, where no words are even spoken, but when we’re together, just being where our feet are. As the world (as we know it), keeps getting crazier and crazier, let’s continue to keep Christ in the center of all we do, keep leaning on and lifting each other up when it’s needed, and keep living the lives that we have been so incredibly blessed to live together. I love you with all my heart Jillian. Happy 32nd (heading into our 33rd year), Anniversary.

Coach Hines 🇺🇸

10,530 просмотров • 2 месяцев назад

VMAN via Instagram: "New edition, same Storrie! This morning, during the first official week of spring in New York City, we launched our VMAN 56 Deluxe Edition at 8 AM... and once again, it sold out within minutes. We are so in awe of our readers! What began as an idea dreamt up just after the January 23 shoot with Connor Storrie quickly became something special: A TRUE COLLECTOR'S PIECE and the CROWN JEWEL of our V & VMAN SPECIAL EDITIONS to date! Moments like this reaffirm what we've always believed: there's a global audience hungry for print not just as a format, but as an experience. Thank you to everyone who made this our most exciting launch of the year so far!..."
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VMAN via Instagram: "New edition, same Storrie! This morning, during the first official week of spring in New York City, we launched our VMAN 56 Deluxe Edition at 8 AM... and once again, it sold out within minutes. We are so in awe of our readers! What began as an idea dreamt up just after the January 23 shoot with Connor Storrie quickly became something special: A TRUE COLLECTOR'S PIECE and the CROWN JEWEL of our V & VMAN SPECIAL EDITIONS to date! Moments like this reaffirm what we've always believed: there's a global audience hungry for print not just as a format, but as an experience. Thank you to everyone who made this our most exciting launch of the year so far!..."

Connor Storrie Updates | Fansite

30,633 просмотров • 4 месяцев назад

The Shopify Subscriptions app is now available to all Shopify merchants. More and more of our merchants want to sell their products as subscriptions, and now it’s possible to do it with Shopify. Introducing Shopify Subscriptions, a free app where you can easily make your products subscription-based, turn up the recurring revenue, and manage it all in the Shopify admin. Now in full release and available to all merchants. Just another way we are future-proofing your business. Check it out...
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The Shopify Subscriptions app is now available to all Shopify merchants. More and more of our merchants want to sell their products as subscriptions, and now it’s possible to do it with Shopify. Introducing Shopify Subscriptions, a free app where you can easily make your products subscription-based, turn up the recurring revenue, and manage it all in the Shopify admin. Now in full release and available to all merchants. Just another way we are future-proofing your business. Check it out...

Harley Finkelstein

56,680 просмотров • 2 лет назад

NEW: AI Papers of the Week Collection I just released my AI Papers of the Week collection under our Resources hub. Now you can easily find some of the most important AI papers in one place. You can also use our new AI tutor to recommend top AI papers on any topic of interest or topics you are learning about on the platform. Learning about AI is not enough. It's important to keep up to date. So this is why we are building all these tools and resources to help with that. Go try it out here: We will update the collection every week and add new paper collections in the coming weeks. We have another killer feature dropping soon to read and annotate papers, including a completely new way to study and digest AI papers. Stay tuned!
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NEW: AI Papers of the Week Collection I just released my AI Papers of the Week collection under our Resources hub. Now you can easily find some of the most important AI papers in one place. You can also use our new AI tutor to recommend top AI papers on any topic of interest or topics you are learning about on the platform. Learning about AI is not enough. It's important to keep up to date. So this is why we are building all these tools and resources to help with that. Go try it out here: We will update the collection every week and add new paper collections in the coming weeks. We have another killer feature dropping soon to read and annotate papers, including a completely new way to study and digest AI papers. Stay tuned!

elvis

16,882 просмотров • 18 дней назад

I am a son of a mother who studied dietetics in New York, who taught me that our bodies are a temple to serve Allah by being good to others. My father, a career diplomat and a product of Ahmadu Bello University where he participated in extracurricular activities such as basketball always had time for the family and was my basketball coach since I was a toddler. My dearest Bappa and Mommy, through your quiet sacrifices, you taught me that true leadership is rooted in integrity and that the greatest legacy one can leave is the service of others. I am the the product of your prayers and a reflection of the values you instilled in me from the very beginning. As you celebrate the 49th anniversary of your blessed union, I thank you for being my first teachers and my lifelong inspiration.
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I am a son of a mother who studied dietetics in New York, who taught me that our bodies are a temple to serve Allah by being good to others. My father, a career diplomat and a product of Ahmadu Bello University where he participated in extracurricular activities such as basketball always had time for the family and was my basketball coach since I was a toddler. My dearest Bappa and Mommy, through your quiet sacrifices, you taught me that true leadership is rooted in integrity and that the greatest legacy one can leave is the service of others. I am the the product of your prayers and a reflection of the values you instilled in me from the very beginning. As you celebrate the 49th anniversary of your blessed union, I thank you for being my first teachers and my lifelong inspiration.

Hon. Ahmed Munir

55,521 просмотров • 3 месяцев назад

Barely a year ago, I reached out to my friend and now my business partner GMI telling him of how I want us to own an Estate that stands the test of time. We pulled heavy funds together, partnered with a company and built something magnificent. Looking back at that decision and I realized that it's good to have a dream, but it's even better to have friends that can dream with you and see how much greatness can be accomplished together. Our small Estate is now worth heavy 9 figures and climbing daily. Having good friends in this generation is an unfair advantage. The rewards are infinite.
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Barely a year ago, I reached out to my friend and now my business partner GMI telling him of how I want us to own an Estate that stands the test of time. We pulled heavy funds together, partnered with a company and built something magnificent. Looking back at that decision and I realized that it's good to have a dream, but it's even better to have friends that can dream with you and see how much greatness can be accomplished together. Our small Estate is now worth heavy 9 figures and climbing daily. Having good friends in this generation is an unfair advantage. The rewards are infinite.

Xeusthegreat (♟,♟)

169,309 просмотров • 5 месяцев назад

Super important: Don’t let the Harris/Walz chaos distract you from that the same Democrats that funded E. Jean Carroll’s case against Trump, are funding the one against RFK Jr. in New York currently. If RFK loses this case he will most likely be taken off every ballot throughout the U.S. The case is questioning whether RFK can claim he’s a New York resident like he did in order to get ballot access in New York. Yes, something that trivial and pointless could be manipulated in a way to prevent RFK from being on your ballot this fall. A no jury trial in New York, and complete weaponization of the justice system from the Democrats once again. We need to raise as much awareness about this insanity as we can. RFK should be out campaigning now that he’s finally done gathering signatures but instead he’s battling a case proving his residence in a state who’s taxes he pays and every single license he has is registered with.
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Super important: Don’t let the Harris/Walz chaos distract you from that the same Democrats that funded E. Jean Carroll’s case against Trump, are funding the one against RFK Jr. in New York currently. If RFK loses this case he will most likely be taken off every ballot throughout the U.S. The case is questioning whether RFK can claim he’s a New York resident like he did in order to get ballot access in New York. Yes, something that trivial and pointless could be manipulated in a way to prevent RFK from being on your ballot this fall. A no jury trial in New York, and complete weaponization of the justice system from the Democrats once again. We need to raise as much awareness about this insanity as we can. RFK should be out campaigning now that he’s finally done gathering signatures but instead he’s battling a case proving his residence in a state who’s taxes he pays and every single license he has is registered with.

End Tribalism in Politics

326,681 просмотров • 2 лет назад

Model-Free Reinforcement Learning (MFRL) has been alluring, especially with supercharged compute with physics on GPU. However, the methods use 0-th order gradients, and are often not the best optimizers. Can we do better than PPO in continuous control for robotics? Turns out yes! 🥳 tl;dr: Faster, better RL than PPO in continuous control 💪 The answer lies in using more information from the simulation. We are juicing the simulation on GPU as it is, why not use it for gradients as well? This has been a driving question in a series of our works. We first studied this problem in ICLR 2022 paper on Short Horizon Actor Critic Naive gradient based methods are stuck in local minima and have exploding/vanishing gradients. SHAC solved this problem truncated rollouts and model based value estimation, where the model is Differentiable Sim. This boosted sample efficiency and wall-clock time immensely especially in high dimensional systems such as humanoids Yet, given enough compute PPO often caught up. Our follow up paper on on Adaptive Horizon Actor Critic at ICML 2024 discovers the cause and provides a fix. However, we find that even when given ground-truth dynamics, not all gradients are useful due to sample error. 1st-Order Model-Based Reinforcement Learning methods employing differentiable simulation provide gradients with reduced variance but are susceptible to bias in scenarios involving stiff dynamics, such as physical contact. We find that back-propagating through contact and long trajectories drastically reduces gradient accuracy. Using this insight, we propose AHAC to dynamically adapt its roll-out horizon to avoid differentiating through stiff contact. AHAC is a first-order model-based RL algorithm that learns high-dimensional tasks in minutes (wall clock) and outperforms PPO by 40%, even in the limit of data provided to PPO. This work is led by Ignat Georgiev alongside Krishnan Srinivasan, Jie Xu, Eric Heiden and ample assistance from warp team at NVIDIA Robotics (Miles Macklin)
0:10

Model-Free Reinforcement Learning (MFRL) has been alluring, especially with supercharged compute with physics on GPU. However, the methods use 0-th order gradients, and are often not the best optimizers. Can we do better than PPO in continuous control for robotics? Turns out yes! 🥳 tl;dr: Faster, better RL than PPO in continuous control 💪 The answer lies in using more information from the simulation. We are juicing the simulation on GPU as it is, why not use it for gradients as well? This has been a driving question in a series of our works. We first studied this problem in ICLR 2022 paper on Short Horizon Actor Critic Naive gradient based methods are stuck in local minima and have exploding/vanishing gradients. SHAC solved this problem truncated rollouts and model based value estimation, where the model is Differentiable Sim. This boosted sample efficiency and wall-clock time immensely especially in high dimensional systems such as humanoids Yet, given enough compute PPO often caught up. Our follow up paper on on Adaptive Horizon Actor Critic at ICML 2024 discovers the cause and provides a fix. However, we find that even when given ground-truth dynamics, not all gradients are useful due to sample error. 1st-Order Model-Based Reinforcement Learning methods employing differentiable simulation provide gradients with reduced variance but are susceptible to bias in scenarios involving stiff dynamics, such as physical contact. We find that back-propagating through contact and long trajectories drastically reduces gradient accuracy. Using this insight, we propose AHAC to dynamically adapt its roll-out horizon to avoid differentiating through stiff contact. AHAC is a first-order model-based RL algorithm that learns high-dimensional tasks in minutes (wall clock) and outperforms PPO by 40%, even in the limit of data provided to PPO. This work is led by Ignat Georgiev alongside Krishnan Srinivasan, Jie Xu, Eric Heiden and ample assistance from warp team at NVIDIA Robotics (Miles Macklin)

Animesh Garg

52,308 просмотров • 2 лет назад

I am delighted to announce our partnership with Geco.one ! Starting today, DragonX tokens will be available as collateral for leverage trading with our new partner. Geco One ( Is an established, fully regulated European exchange with over 60,000 registered users. Today marks a first step in our partnership. I am excited to continue to work with their team to push Geco One and DragonX forward in adopting new ecosystems. As part of this partnership, the Geco One team was generous enough to facilitate a BitGo listing for DragonX. This is a big step forward, it opens up new opportunities for DragonX to be listed and partner with other regulated institutions. Give a shot today, you can use BTC/ETH/XRP/GECO/DRAGONX as collateral on leverage, going as much as 100x long or short. Geco One supports dozens of the most popular pairs. check them out today.
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I am delighted to announce our partnership with Geco.one ! Starting today, DragonX tokens will be available as collateral for leverage trading with our new partner. Geco One ( Is an established, fully regulated European exchange with over 60,000 registered users. Today marks a first step in our partnership. I am excited to continue to work with their team to push Geco One and DragonX forward in adopting new ecosystems. As part of this partnership, the Geco One team was generous enough to facilitate a BitGo listing for DragonX. This is a big step forward, it opens up new opportunities for DragonX to be listed and partner with other regulated institutions. Give a shot today, you can use BTC/ETH/XRP/GECO/DRAGONX as collateral on leverage, going as much as 100x long or short. Geco One supports dozens of the most popular pairs. check them out today.

Erik

12,097 просмотров • 1 год назад

🚀Thrilled to share what we’ve been building at TRI over the past several months: our first Large Behavior Models (LBMs) are here! I’m proud to have been a core contributor to the multi-task policy learning and post-training efforts. At TRI, we’ve been researching how LBMs can help robots learn faster, better, and more efficiently. The key takeaways: ✅ We built an evaluation pipeline to benchmark LBM performance with real 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 ✅ Pre-training on hundreds of tasks makes models more robust—plus, we can teach new, complex tasks with 80% 𝐥𝐞𝐬𝐬 𝐝𝐚𝐭𝐚 ✅ The bigger and more diverse the pre-training, the better the results Check out our overview video, webpage and paper for more details: ✨ 🌎 📄 We hope this work helps move the field of robotics forward!
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🚀Thrilled to share what we’ve been building at TRI over the past several months: our first Large Behavior Models (LBMs) are here! I’m proud to have been a core contributor to the multi-task policy learning and post-training efforts. At TRI, we’ve been researching how LBMs can help robots learn faster, better, and more efficiently. The key takeaways: ✅ We built an evaluation pipeline to benchmark LBM performance with real 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 ✅ Pre-training on hundreds of tasks makes models more robust—plus, we can teach new, complex tasks with 80% 𝐥𝐞𝐬𝐬 𝐝𝐚𝐭𝐚 ✅ The bigger and more diverse the pre-training, the better the results Check out our overview video, webpage and paper for more details: ✨ 🌎 📄 We hope this work helps move the field of robotics forward!

Zubair Irshad

20,377 просмотров • 1 год назад

We’re on cloud nine after #SaveTonyandZiva took to the skies yesterday ✈️ Our flight circled Paramount Studios for one hour, towing a banner that read, “Save Tony and Ziva.”. A project of this magnitude is not possible without the support of the most incredible fans and we have reached new heights in this campaign, with confirmation that we are making an impact. Thank you for sticking with us 🫶 Let’s keep it going and Save Tony and Ziva! Photo/video credit: Malachy O’Neill (You can check out his amazing work at
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We’re on cloud nine after #SaveTonyandZiva took to the skies yesterday ✈️ Our flight circled Paramount Studios for one hour, towing a banner that read, “Save Tony and Ziva.”. A project of this magnitude is not possible without the support of the most incredible fans and we have reached new heights in this campaign, with confirmation that we are making an impact. Thank you for sticking with us 🫶 Let’s keep it going and Save Tony and Ziva! Photo/video credit: Malachy O’Neill (You can check out his amazing work at

NCIS: Tony and Ziva Fans

11,084 просмотров • 4 месяцев назад

Yesterday at Brown University ICERM's workshop on “Agentic Scientific Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.
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Yesterday at Brown University ICERM's workshop on “Agentic Scientific Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.

Markus J. Buehler

10,095 просмотров • 2 месяцев назад

Why is my baby screaming? The answer may just be: Because they can. As newborns, babies rely heavily on a limited vocal repertoire of cries, coos, and gurgles. But as they begin approaching six months, they begin to experiment with a whole new array of sounds. We call this vocal play. Put simply, it’s a process through which infants experiment with their voices (and mouths) and begin learning to mimic many of the component sounds that will later make up their formal speech. This includes most any sound that can be made with the mouth, from screams, to growls, to blowing raspberries. Check out this little guy as he delights in his newly discovered screech. He’s not in distress, as his broad smile lets us know. Instead he’s just trying out the cool new trick he can do with his mouth. Of course screams can relay pain and fear as well, but rest assured that not EVERY scream is a “scream.” Some are just fun experiments. This playful little guy was shared to TT by steviemoriah.
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Why is my baby screaming? The answer may just be: Because they can. As newborns, babies rely heavily on a limited vocal repertoire of cries, coos, and gurgles. But as they begin approaching six months, they begin to experiment with a whole new array of sounds. We call this vocal play. Put simply, it’s a process through which infants experiment with their voices (and mouths) and begin learning to mimic many of the component sounds that will later make up their formal speech. This includes most any sound that can be made with the mouth, from screams, to growls, to blowing raspberries. Check out this little guy as he delights in his newly discovered screech. He’s not in distress, as his broad smile lets us know. Instead he’s just trying out the cool new trick he can do with his mouth. Of course screams can relay pain and fear as well, but rest assured that not EVERY scream is a “scream.” Some are just fun experiments. This playful little guy was shared to TT by steviemoriah.

Dan Wuori

120,266 просмотров • 2 лет назад

So Orb has blown me away again. I simulated the carbonic anhydrase enzyme with it: one of the most important and well studied enzymes in biology. (It converts CO2 to bicarbonate and is involved in many diseases and could also be useful for carbon capture.) Remarkably, despite only being trained on small crystals, it manages to spontaneously reproduce the proton relay carrying protons from the zinc-bound water to the His64 residue — a mechanism that took over a decade of careful experimental studies to unravel. Even more surprisingly, it also suggests a new previously unreported reaction mechanism for forming bicarbonate, which actually makes a lot of sense and independent quantum chemistry show is plausible. (Done with Rowan). Preprint here: You can check out the trajectories yourself, i.e,: (Thanks Alexander Mathiasen) Orb itself can be found here:
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So Orb has blown me away again. I simulated the carbonic anhydrase enzyme with it: one of the most important and well studied enzymes in biology. (It converts CO2 to bicarbonate and is involved in many diseases and could also be useful for carbon capture.) Remarkably, despite only being trained on small crystals, it manages to spontaneously reproduce the proton relay carrying protons from the zinc-bound water to the His64 residue — a mechanism that took over a decade of careful experimental studies to unravel. Even more surprisingly, it also suggests a new previously unreported reaction mechanism for forming bicarbonate, which actually makes a lot of sense and independent quantum chemistry show is plausible. (Done with Rowan). Preprint here: You can check out the trajectories yourself, i.e,: (Thanks Alexander Mathiasen) Orb itself can be found here:

Tim Duignan

22,645 просмотров • 1 год назад