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Together with UC Berkeley we are announcing the laser phase plate - a breakthrough in atomic resolution imaging. This is the brightest continuous wave laser in the world, 100 million times the intensity of the surface of the sun. Phase contrast plays an important role in microscopy, but it...

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Alex Rives

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654,903 просмотров • 1 месяц назад •via X (Twitter)

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New microscopy technology enables nanoscale imaging of centimetre-scale tissues, making it possible to image the entire expanded mouse brain at cellular and subcellular resolution. #ReviewedPreprint
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New microscopy technology enables nanoscale imaging of centimetre-scale tissues, making it possible to image the entire expanded mouse brain at cellular and subcellular resolution. #ReviewedPreprint

eLife - the journal

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Over 4 years in the making, I am excited to share our pre-print on the “In-cell structure and snapshots of copia retrotransposons in intact tissue by cryo-electron tomography”. We used cryo-ET to resolve the copia capsid structure to subnanometer resolution inside cells. A 🧵
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Sven Klumpe

57,846 просмотров • 2 лет назад

PHOTON COUNTING CT is NOT a better CT It is a NEW imaging modality Photon Counting CT (PCCT) represents a transformative leap in medical imaging, not only as a molecular imaging modality but also as a technology offering ultra-high resolution and functional imaging capabilities. It is fundamentally more than just an enhanced version of traditional CT—PCCT introduces new ways of seeing and understanding the human body, providing critical insights at the molecular, structural, and functional levels. This positions PCCT as a unique imaging modality that requires a fresh approach to technical implementation, operational workflows, and financial planning. Despite the larger upfront investment, PCCT’s ability to drastically reduce downstream healthcare costs makes it a highly valuable investment in the long run. 1. Technical Innovations • Molecular Imaging and Energy Discrimination: Unlike traditional CT, which simply measures the total absorbed energy, PCCT counts individual X-ray photons and differentiates their energy levels. This allows for precise molecular imaging, revealing the composition of tissues and materials at a biochemical level. By distinguishing between different tissue types and contrast agents, PCCT opens up new diagnostic possibilities, such as identifying molecular biomarkers in tumors or distinguishing between stable and unstable plaque in coronary arteries. This capability shifts the focus of imaging from purely anatomical to both anatomical and molecular, offering more comprehensive diagnostic information. • Ultra-High Spatial Resolution: PCCT features significantly smaller detector elements compared to conventional CT scanners, allowing for ultra-high resolution imaging. This means clinicians can visualize fine structures such as microcalcifications in arteries, small lesions in soft tissues, or the intricate architecture of bones. This level of detail was previously unattainable with traditional CT. When combined with molecular imaging, this ultra-high resolution allows for the precise localization and characterization of disease at very early stages, which is essential for early diagnosis and intervention. • Functional Imaging Capabilities: PCCT also excels as a functional imaging modality. By capturing energy-resolved information, PCCT can provide insights into tissue functionality and dynamic physiological processes. For instance, it can detect changes in blood flow, tissue perfusion, and oxygenation without the need for additional contrast agents or scans. This functionality allows for real-time assessment of physiological processes, making it particularly valuable in cardiology, oncology, and neurology for evaluating organ function and monitoring disease progression. • Reduced Noise and Artifact Reduction: Photon-counting technology dramatically reduces electronic noise and imaging artifacts, such as beam hardening, resulting in clearer and more accurate images. The ability to deliver ultra-high resolution images with minimal artifacts improves diagnostic accuracy, reducing the need for repeat scans and ensuring that even subtle abnormalities are detected. 2. Operational Considerations • New Workflow for Molecular, High-Resolution, and Functional Imaging: The integration of molecular, ultra-high resolution, and functional imaging into routine clinical workflows introduces complexity that requires adaptation. Radiologists and technicians need specialized training to interpret and analyze multi-energy datasets that include molecular and functional information. PCCT produces a vast amount of detailed data, requiring clinicians to adopt new imaging protocols and refine their diagnostic approaches to fully leverage its capabilities. • Post-Processing and Data Management: PCCT generates richer, more complex datasets, which necessitates advanced post-processing tools and data management systems. Existing PACS and imaging software may not be equipped to handle such large volumes of data or to process functional and molecular information effectively. This means healthcare institutions must invest in robust IT infrastructure, including upgraded software and storage solutions, as well as provide additional training for staff on new imaging analysis techniques. • Revised Clinical Protocols: The molecular, functional, and ultra-high resolution imaging capabilities of PCCT will likely prompt changes in clinical protocols. For instance, the need for contrast agents may be reduced, simplifying patient preparation and decreasing the risk of adverse reactions. Additionally, the ability to monitor physiological functions in real-time through functional imaging could lead to more dynamic diagnostic procedures, such as assessing the effectiveness of interventions or treatments in real-time. 3. Financial Impact • Higher Initial Investment: PCCT systems are more expensive than traditional CT scanners due to their advanced technology, which includes photon-counting detectors and the computational power required for high-resolution, molecular, and functional imaging. While this upfront cost is significant, it is crucial to view it in the broader context of the downstream benefits and cost reductions that PCCT offers. • Downstream Cost Reductions: Although the initial capital investment is higher, PCCT’s ability to combine molecular, functional, and ultra-high resolution imaging leads to substantial reductions in downstream healthcare costs. Its superior diagnostic accuracy minimizes the need for follow-up tests, repeat scans, or invasive diagnostic procedures, such as diagnostic coronary angiographies. For example, in cardiology, PCCT can precisely differentiate between types of coronary plaque, reducing the need for invasive procedures to assess risk. • Lower Overall Healthcare Expenditures: By enabling earlier, more accurate diagnoses, PCCT can reduce the overall cost of patient care. Early detection of disease, particularly through its molecular and functional imaging capabilities, allows for more targeted treatments, potentially preventing the need for more aggressive and expensive interventions down the line. For instance, early-stage tumor detection via molecular imaging could lead to less invasive treatments, reducing hospital stays and improving patient outcomes, ultimately driving down healthcare costs. • Increased ROI Through Enhanced Patient Outcomes: Over time, the combination of molecular, functional, and ultra-high resolution imaging enhances diagnostic precision, which translates into better patient outcomes. Improved diagnostic accuracy reduces the incidence of unnecessary procedures, minimizes treatment delays, and results in more personalized and effective care. This leads to increased patient satisfaction, better healthcare outcomes, and greater patient throughput—all factors that improve the institution’s return on investment (ROI). • Competitive Advantage and New Revenue Streams: By adopting PCCT, healthcare institutions position themselves at the forefront of advanced imaging technologies. The ability to offer molecular, functional, and ultra-high resolution imaging creates a competitive advantage, attracting more complex and high-value cases. This can boost the institution’s reputation for excellence in diagnostics, leading to increased referrals, new patient populations, and expanded revenue opportunities. Summary Photon Counting CT (PCCT) is not just an evolution of existing CT technology—it is a molecular, ultra-high resolution, and functional imaging modality that fundamentally transforms the diagnostic landscape. Its ability to capture detailed molecular data, visualize minute anatomical structures with ultra-high resolution, and provide real-time functional imaging opens new possibilities for earlier and more precise diagnoses. While the financial investment in PCCT is larger, the reduction in downstream healthcare costs through improved diagnostic accuracy, fewer unnecessary interventions, and earlier disease detection far outweighs the initial expense. For institutions committed to advancing patient care and improving long-term financial outcomes, PCCT is an essential investment in the future of medical imaging. The video attached shows a patient accessing the Hospital for ACS. PCCT can provide ALL the imaging information of the concurrent imaging modalities (CXR, CAG, Echo, CMR) that you see around it... that's a lot! #PhotonCountingCT #MolecularImaging #UltraHighResolution #FunctionalImaging #FutureOfImaging #AdvancedMedicalImaging #EarlyDiseaseDetection #InnovativeCT #CuttingEdgeHealthcare #PrecisionDiagnostics #HealthcareInnovation #MedicalTechnology #CostEffectiveImaging #NextGenCT #PatientCareRevolution
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PHOTON COUNTING CT is NOT a better CT It is a NEW imaging modality Photon Counting CT (PCCT) represents a transformative leap in medical imaging, not only as a molecular imaging modality but also as a technology offering ultra-high resolution and functional imaging capabilities. It is fundamentally more than just an enhanced version of traditional CT—PCCT introduces new ways of seeing and understanding the human body, providing critical insights at the molecular, structural, and functional levels. This positions PCCT as a unique imaging modality that requires a fresh approach to technical implementation, operational workflows, and financial planning. Despite the larger upfront investment, PCCT’s ability to drastically reduce downstream healthcare costs makes it a highly valuable investment in the long run. 1. Technical Innovations • Molecular Imaging and Energy Discrimination: Unlike traditional CT, which simply measures the total absorbed energy, PCCT counts individual X-ray photons and differentiates their energy levels. This allows for precise molecular imaging, revealing the composition of tissues and materials at a biochemical level. By distinguishing between different tissue types and contrast agents, PCCT opens up new diagnostic possibilities, such as identifying molecular biomarkers in tumors or distinguishing between stable and unstable plaque in coronary arteries. This capability shifts the focus of imaging from purely anatomical to both anatomical and molecular, offering more comprehensive diagnostic information. • Ultra-High Spatial Resolution: PCCT features significantly smaller detector elements compared to conventional CT scanners, allowing for ultra-high resolution imaging. This means clinicians can visualize fine structures such as microcalcifications in arteries, small lesions in soft tissues, or the intricate architecture of bones. This level of detail was previously unattainable with traditional CT. When combined with molecular imaging, this ultra-high resolution allows for the precise localization and characterization of disease at very early stages, which is essential for early diagnosis and intervention. • Functional Imaging Capabilities: PCCT also excels as a functional imaging modality. By capturing energy-resolved information, PCCT can provide insights into tissue functionality and dynamic physiological processes. For instance, it can detect changes in blood flow, tissue perfusion, and oxygenation without the need for additional contrast agents or scans. This functionality allows for real-time assessment of physiological processes, making it particularly valuable in cardiology, oncology, and neurology for evaluating organ function and monitoring disease progression. • Reduced Noise and Artifact Reduction: Photon-counting technology dramatically reduces electronic noise and imaging artifacts, such as beam hardening, resulting in clearer and more accurate images. The ability to deliver ultra-high resolution images with minimal artifacts improves diagnostic accuracy, reducing the need for repeat scans and ensuring that even subtle abnormalities are detected. 2. Operational Considerations • New Workflow for Molecular, High-Resolution, and Functional Imaging: The integration of molecular, ultra-high resolution, and functional imaging into routine clinical workflows introduces complexity that requires adaptation. Radiologists and technicians need specialized training to interpret and analyze multi-energy datasets that include molecular and functional information. PCCT produces a vast amount of detailed data, requiring clinicians to adopt new imaging protocols and refine their diagnostic approaches to fully leverage its capabilities. • Post-Processing and Data Management: PCCT generates richer, more complex datasets, which necessitates advanced post-processing tools and data management systems. Existing PACS and imaging software may not be equipped to handle such large volumes of data or to process functional and molecular information effectively. This means healthcare institutions must invest in robust IT infrastructure, including upgraded software and storage solutions, as well as provide additional training for staff on new imaging analysis techniques. • Revised Clinical Protocols: The molecular, functional, and ultra-high resolution imaging capabilities of PCCT will likely prompt changes in clinical protocols. For instance, the need for contrast agents may be reduced, simplifying patient preparation and decreasing the risk of adverse reactions. Additionally, the ability to monitor physiological functions in real-time through functional imaging could lead to more dynamic diagnostic procedures, such as assessing the effectiveness of interventions or treatments in real-time. 3. Financial Impact • Higher Initial Investment: PCCT systems are more expensive than traditional CT scanners due to their advanced technology, which includes photon-counting detectors and the computational power required for high-resolution, molecular, and functional imaging. While this upfront cost is significant, it is crucial to view it in the broader context of the downstream benefits and cost reductions that PCCT offers. • Downstream Cost Reductions: Although the initial capital investment is higher, PCCT’s ability to combine molecular, functional, and ultra-high resolution imaging leads to substantial reductions in downstream healthcare costs. Its superior diagnostic accuracy minimizes the need for follow-up tests, repeat scans, or invasive diagnostic procedures, such as diagnostic coronary angiographies. For example, in cardiology, PCCT can precisely differentiate between types of coronary plaque, reducing the need for invasive procedures to assess risk. • Lower Overall Healthcare Expenditures: By enabling earlier, more accurate diagnoses, PCCT can reduce the overall cost of patient care. Early detection of disease, particularly through its molecular and functional imaging capabilities, allows for more targeted treatments, potentially preventing the need for more aggressive and expensive interventions down the line. For instance, early-stage tumor detection via molecular imaging could lead to less invasive treatments, reducing hospital stays and improving patient outcomes, ultimately driving down healthcare costs. • Increased ROI Through Enhanced Patient Outcomes: Over time, the combination of molecular, functional, and ultra-high resolution imaging enhances diagnostic precision, which translates into better patient outcomes. Improved diagnostic accuracy reduces the incidence of unnecessary procedures, minimizes treatment delays, and results in more personalized and effective care. This leads to increased patient satisfaction, better healthcare outcomes, and greater patient throughput—all factors that improve the institution’s return on investment (ROI). • Competitive Advantage and New Revenue Streams: By adopting PCCT, healthcare institutions position themselves at the forefront of advanced imaging technologies. The ability to offer molecular, functional, and ultra-high resolution imaging creates a competitive advantage, attracting more complex and high-value cases. This can boost the institution’s reputation for excellence in diagnostics, leading to increased referrals, new patient populations, and expanded revenue opportunities. Summary Photon Counting CT (PCCT) is not just an evolution of existing CT technology—it is a molecular, ultra-high resolution, and functional imaging modality that fundamentally transforms the diagnostic landscape. Its ability to capture detailed molecular data, visualize minute anatomical structures with ultra-high resolution, and provide real-time functional imaging opens new possibilities for earlier and more precise diagnoses. While the financial investment in PCCT is larger, the reduction in downstream healthcare costs through improved diagnostic accuracy, fewer unnecessary interventions, and earlier disease detection far outweighs the initial expense. For institutions committed to advancing patient care and improving long-term financial outcomes, PCCT is an essential investment in the future of medical imaging. The video attached shows a patient accessing the Hospital for ACS. PCCT can provide ALL the imaging information of the concurrent imaging modalities (CXR, CAG, Echo, CMR) that you see around it... that's a lot! #PhotonCountingCT #MolecularImaging #UltraHighResolution #FunctionalImaging #FutureOfImaging #AdvancedMedicalImaging #EarlyDiseaseDetection #InnovativeCT #CuttingEdgeHealthcare #PrecisionDiagnostics #HealthcareInnovation #MedicalTechnology #CostEffectiveImaging #NextGenCT #PatientCareRevolution

Dr. Filippo Cademartiri

11,820 просмотров • 1 год назад

This is a Kinesin Molecule. These little molecular machines are commonly referred to as the "workhorse" of the cell, hauling important cargo like organelles, proteins and other cellular structures to their proper location within the cell. Kinesins are very clear & undeniable evidence of the intelligent design in Life. Kinesins are complex molecular machines, made up of 4 total proteins, each between 500-1,300 amino acids in length. If these aa sequences are not perfectly aligned from the beginning, Kinesin never forms, and cellular life would be unable to survive. Here is how they work: When a new protein, organelle, or other cellular structure is created in the Cytosol of the cell, they are constructed with built-in "binding tags," which are like shipping labels that bind to other protein molecules called Adaptor or Scaffold Proteins. These Adaptor/Scaffold Proteins then attach to the Kinesin's tail, which activates them, and then the Kinesin is guided along the microtubule track to its to its final destination. Kinesin walk on self-assembling tracks of other proteins, called microtubules, moving cargo from the inner area of the cell where they are constructed to the outer edges where they function. This is a complex & sophisticated interdependent network of molecular machines, all relying on one another to function properly for the health of the cell. This Intracellular Transportation system MUST be fully functional from the beginning - with all these working parts, or all of it fails, and the cell dies. Without this entire functioning system, Life could not exist. And the Kinesin is the centerpiece to all of it. Experiments have shown that disrupting Kinesin activity has catastrophic consequences. This type of nano-precision is an obvious example of designed engineering. Blind, unguided evolutionary processes cannot plan ahead and create complex informational highways for precision transportation. The proposed evolutionary explanation is simply "co-option." A nebulous term which basically amounts to, "We don't know how it evolved, but it must have evolved from some other thing that was similar in the past." No observational data supports evolutionary co-option. It's absurd to believe any part of this was built by blind chance. Everything in the cell points to Intelligent Design.
0:59

This is a Kinesin Molecule. These little molecular machines are commonly referred to as the "workhorse" of the cell, hauling important cargo like organelles, proteins and other cellular structures to their proper location within the cell. Kinesins are very clear & undeniable evidence of the intelligent design in Life. Kinesins are complex molecular machines, made up of 4 total proteins, each between 500-1,300 amino acids in length. If these aa sequences are not perfectly aligned from the beginning, Kinesin never forms, and cellular life would be unable to survive. Here is how they work: When a new protein, organelle, or other cellular structure is created in the Cytosol of the cell, they are constructed with built-in "binding tags," which are like shipping labels that bind to other protein molecules called Adaptor or Scaffold Proteins. These Adaptor/Scaffold Proteins then attach to the Kinesin's tail, which activates them, and then the Kinesin is guided along the microtubule track to its to its final destination. Kinesin walk on self-assembling tracks of other proteins, called microtubules, moving cargo from the inner area of the cell where they are constructed to the outer edges where they function. This is a complex & sophisticated interdependent network of molecular machines, all relying on one another to function properly for the health of the cell. This Intracellular Transportation system MUST be fully functional from the beginning - with all these working parts, or all of it fails, and the cell dies. Without this entire functioning system, Life could not exist. And the Kinesin is the centerpiece to all of it. Experiments have shown that disrupting Kinesin activity has catastrophic consequences. This type of nano-precision is an obvious example of designed engineering. Blind, unguided evolutionary processes cannot plan ahead and create complex informational highways for precision transportation. The proposed evolutionary explanation is simply "co-option." A nebulous term which basically amounts to, "We don't know how it evolved, but it must have evolved from some other thing that was similar in the past." No observational data supports evolutionary co-option. It's absurd to believe any part of this was built by blind chance. Everything in the cell points to Intelligent Design.

Divinely Designed

15,877 просмотров • 6 месяцев назад

The new EMDB - EMPIAR @EBI cryo-electron tomography (cryo-ET) browser allows you to see proteins up close in the cellular environment. Over 1,800 high-resolution reconstructed tomograms from cryo-plasma-FIB milled Chlamydomonas reinhardtii cells are available.
0:29

The new EMDB - EMPIAR @EBI cryo-electron tomography (cryo-ET) browser allows you to see proteins up close in the cellular environment. Over 1,800 high-resolution reconstructed tomograms from cryo-plasma-FIB milled Chlamydomonas reinhardtii cells are available.

EMBL-EBI

45,240 просмотров • 2 лет назад

Scientists just figured out how to reverse aging using AI. And this is a massive breakthrough. We can now reprogram any human cell back to age 20. Heart cells, brain cells, skin cells, all reset to their biological prime. And here’s the wildest part…the technology to do this, has already existed since 2012 (it won the Nobel Prize). But the real breakthrough wasn’t possible until this year, when they supercharged it with AI. It’s a wild story. So in 2006, scientists discovered Yamanaka factors. They’re proteins that can basically convert any normal cell into a universal stem cell. Now this was a huge deal, because these stem cells are basically like magic healers. If you have torn muscle tissue, you could inject these stem cells into the area and they will turn into the youthful muscle cells you need. So Yamanaka factors were this insane breakthrough, because they allowed any human to turn any cell you already have into these magic healers. But, there was one big problem… It turns out, the original Yamanaka factors weren’t very good at this stem cell conversion. They could do it, but they just weren’t very reliable. Enter OpenAI...and this is where things get crazy. OpenAI designed a special AI model built specifically to create new proteins. Think of it like ChatGPT but for protein engineering. So they took all the Yamanaka research and asked this new AI to go ham on improving it. And get this… Their version was 50x more effective than the original. They tested it on 50 year old cells and it successfully started repairing 30% of their cells in just 7 days. This is just science fiction…it actually happened. And it sounds crazy, but in a few years, humans will be able to take a shot that will literally reverse the age of their cells.
1:32

Scientists just figured out how to reverse aging using AI. And this is a massive breakthrough. We can now reprogram any human cell back to age 20. Heart cells, brain cells, skin cells, all reset to their biological prime. And here’s the wildest part…the technology to do this, has already existed since 2012 (it won the Nobel Prize). But the real breakthrough wasn’t possible until this year, when they supercharged it with AI. It’s a wild story. So in 2006, scientists discovered Yamanaka factors. They’re proteins that can basically convert any normal cell into a universal stem cell. Now this was a huge deal, because these stem cells are basically like magic healers. If you have torn muscle tissue, you could inject these stem cells into the area and they will turn into the youthful muscle cells you need. So Yamanaka factors were this insane breakthrough, because they allowed any human to turn any cell you already have into these magic healers. But, there was one big problem… It turns out, the original Yamanaka factors weren’t very good at this stem cell conversion. They could do it, but they just weren’t very reliable. Enter OpenAI...and this is where things get crazy. OpenAI designed a special AI model built specifically to create new proteins. Think of it like ChatGPT but for protein engineering. So they took all the Yamanaka research and asked this new AI to go ham on improving it. And get this… Their version was 50x more effective than the original. They tested it on 50 year old cells and it successfully started repairing 30% of their cells in just 7 days. This is just science fiction…it actually happened. And it sounds crazy, but in a few years, humans will be able to take a shot that will literally reverse the age of their cells.

Whiplash347

68,643 просмотров • 8 месяцев назад

Super excited to share our latest work on the native in-cell organization of the mitochondrial respiratory chain 🥳 Using cryo-electron tomography🔬, we show how the respiratory complexes (and other complexes) are organized inside native mitochondria!
0:38

Super excited to share our latest work on the native in-cell organization of the mitochondrial respiratory chain 🥳 Using cryo-electron tomography🔬, we show how the respiratory complexes (and other complexes) are organized inside native mitochondria!

Florent Waltz

189,790 просмотров • 1 год назад

NVIDIA CEO Jensen Huang just gave us a glimpse into the future of AI, and it's far bigger than text and images. He asked: "If you can understand worlds, is it possible that you understand proteins and chemicals that have structure?” This is the quiet revolution happening in AI right now. We're moving from an AI that understands human language to an AI that understands the language of nature itself. The "letters" are atoms. The "words" are molecules. The "sentences" are the complex structures of life, networks, and reality. The same foundational models that generate video are now being used to: *Decode proteins to fight disease *Design new materials at the atomic level *Simulate complex systems in quantum computing These were once the domain of supercomputers and Nobel laureates. Now, they're becoming solvable problems for a new generation of startups. AI is transitioning from a tool for communication to a tool for creation and discovery in the physical world. This is where the next wave of generational companies will be built. The "hard-to-solve" problems are now within reach.
2:14

NVIDIA CEO Jensen Huang just gave us a glimpse into the future of AI, and it's far bigger than text and images. He asked: "If you can understand worlds, is it possible that you understand proteins and chemicals that have structure?” This is the quiet revolution happening in AI right now. We're moving from an AI that understands human language to an AI that understands the language of nature itself. The "letters" are atoms. The "words" are molecules. The "sentences" are the complex structures of life, networks, and reality. The same foundational models that generate video are now being used to: *Decode proteins to fight disease *Design new materials at the atomic level *Simulate complex systems in quantum computing These were once the domain of supercomputers and Nobel laureates. Now, they're becoming solvable problems for a new generation of startups. AI is transitioning from a tool for communication to a tool for creation and discovery in the physical world. This is where the next wave of generational companies will be built. The "hard-to-solve" problems are now within reach.

Konstantine Buhler

13,014 просмотров • 8 месяцев назад

Correlative two color 3D super-resolution single molecule localization microscopy and block face electron microscopy of mitochondria and the endoplasmic reticulum in vitreously frozen COS-7 cells
2:44

Correlative two color 3D super-resolution single molecule localization microscopy and block face electron microscopy of mitochondria and the endoplasmic reticulum in vitreously frozen COS-7 cells

Eric Betzig

16,040 просмотров • 1 год назад

This is a long video (15 mns), but is one I would advise every American to make the time to listen to what Bernie Sanders has to say, because the world is sleepwalking into a societal earthquake that will change millions of lives and NOT for the better unless governments regulate the structural damage it could do. This is a vitality important issue to understand and regulate. As someone who works with it and understands its potential, I don’t think people understand just what a societal impact this technology will have. It will be the technology equivalent to shipping manufacturing to China in the 1970s on steroids and that’s just the beginning. The U.S. has bet the house on winning the AI tech stack race and I think that is misplaced confidence. 🎥 TikTok -
15:06

This is a long video (15 mns), but is one I would advise every American to make the time to listen to what Bernie Sanders has to say, because the world is sleepwalking into a societal earthquake that will change millions of lives and NOT for the better unless governments regulate the structural damage it could do. This is a vitality important issue to understand and regulate. As someone who works with it and understands its potential, I don’t think people understand just what a societal impact this technology will have. It will be the technology equivalent to shipping manufacturing to China in the 1970s on steroids and that’s just the beginning. The U.S. has bet the house on winning the AI tech stack race and I think that is misplaced confidence. 🎥 TikTok -

𝔗𝔯𝔲𝔱𝔥 𝔐𝔞𝔱𝔱𝔢𝔯𝔰

31,656 просмотров • 7 месяцев назад

Marc Andreessen says AI is hyper democratizing. “Is the future of the world going to be one or a small number of companies, or for that matter, governments or super AIs that kind of own and control everything?” “Or is this a technology that's going to diffuse out and be in everybody's hands?” “This is the time in which AI is actually hyper democratizing. It has spread to more individuals, both in the country and around the world in the shortest period of time of any new technology I think in history.” “The best AIs in the world are in the consumer products.” “This technology is going to be in everybody's hands. And everybody is going to be able to use it to optimize the things that they do, have it be a thought partner, assistant for building companies.” Marc Andreessen 🇺🇸
1:34

Marc Andreessen says AI is hyper democratizing. “Is the future of the world going to be one or a small number of companies, or for that matter, governments or super AIs that kind of own and control everything?” “Or is this a technology that's going to diffuse out and be in everybody's hands?” “This is the time in which AI is actually hyper democratizing. It has spread to more individuals, both in the country and around the world in the shortest period of time of any new technology I think in history.” “The best AIs in the world are in the consumer products.” “This technology is going to be in everybody's hands. And everybody is going to be able to use it to optimize the things that they do, have it be a thought partner, assistant for building companies.” Marc Andreessen 🇺🇸

a16z

79,935 просмотров • 8 месяцев назад

This is how DNA turns coded information into functional proteins - the building blocks of the nanomachines that keep the cells in your body alive. This complex process highlights the sophisticated interconnected systems of Life which must all exist together from the beginning, or Life doesn't happen. First, an RNA molecule is copied from a short segment of DNA. Without the specifically ordered DNA information, RNA cannot form, proteins cannot be built, cells stop working, and life ceases to exist. Life is information first. Once the RNA Molecule is created, it gets ejected from the Polymerase where it was built, and it travels through a complex molecular machine called a Nuclear Pore Complex (NPC), which is an information recognition device that controls the flow of information in and out of a cell's nucleus. The NPC is highly complex - composed of about 500-1,000 protein subunits, derived from a set of about 35 distinct proteins. Without this molecular machine, there is no regulation for what goes in and out of the cell's nucleus, which would lead to catastrophic death for the cell. It must exist for cells to exist. Once the RNA Molecule passes through the NPC, it travels to the Ribosome, a 2-part chemical factory which reads the information on RNA and uses it to construct functional proteins using a specifically sequenced chain of amino acids. Once complete, this protein will then be sent to the section of the cell it belongs to integrate into another molecular machine and do its job. The Ribosome is another highly complex molecular machine - consisting of between 56-80 proteins. Without this molecular machines, proteins cannot be built. Proteins are the building blocks of every cell in every organism on Earth. Without Ribosomes, Life doesn't exist. If you're paying attention, you'll start to realize that Life relies on a highly sophisticated interdependent network of complex machines, which all rely on each other for the function of the system. DNA requires the cell for stability, but the cell requires the proteins for its structure and function, but those proteins require DNA and RNA to be built - it's a circle of necessary interdependence. Systems like this cannot be built by evolutionary processes, which requires that each piece of the process is built by gradual incremental means over lots of time. Without all the pieces there, from the beginning, none of it works. There is only one known source of complex & interdependent informational systems like those we find in life: and that is from Intelligence. Molecular Biology is the best and most obvious evidence of the Intelligent Design in Life.
0:55

This is how DNA turns coded information into functional proteins - the building blocks of the nanomachines that keep the cells in your body alive. This complex process highlights the sophisticated interconnected systems of Life which must all exist together from the beginning, or Life doesn't happen. First, an RNA molecule is copied from a short segment of DNA. Without the specifically ordered DNA information, RNA cannot form, proteins cannot be built, cells stop working, and life ceases to exist. Life is information first. Once the RNA Molecule is created, it gets ejected from the Polymerase where it was built, and it travels through a complex molecular machine called a Nuclear Pore Complex (NPC), which is an information recognition device that controls the flow of information in and out of a cell's nucleus. The NPC is highly complex - composed of about 500-1,000 protein subunits, derived from a set of about 35 distinct proteins. Without this molecular machine, there is no regulation for what goes in and out of the cell's nucleus, which would lead to catastrophic death for the cell. It must exist for cells to exist. Once the RNA Molecule passes through the NPC, it travels to the Ribosome, a 2-part chemical factory which reads the information on RNA and uses it to construct functional proteins using a specifically sequenced chain of amino acids. Once complete, this protein will then be sent to the section of the cell it belongs to integrate into another molecular machine and do its job. The Ribosome is another highly complex molecular machine - consisting of between 56-80 proteins. Without this molecular machines, proteins cannot be built. Proteins are the building blocks of every cell in every organism on Earth. Without Ribosomes, Life doesn't exist. If you're paying attention, you'll start to realize that Life relies on a highly sophisticated interdependent network of complex machines, which all rely on each other for the function of the system. DNA requires the cell for stability, but the cell requires the proteins for its structure and function, but those proteins require DNA and RNA to be built - it's a circle of necessary interdependence. Systems like this cannot be built by evolutionary processes, which requires that each piece of the process is built by gradual incremental means over lots of time. Without all the pieces there, from the beginning, none of it works. There is only one known source of complex & interdependent informational systems like those we find in life: and that is from Intelligence. Molecular Biology is the best and most obvious evidence of the Intelligent Design in Life.

Divinely Designed

62,517 просмотров • 6 месяцев назад

During NeurIPS's 2025 conference, Ankit Gupta sat down with Ellen Zhong, an assistant professor of computer science at Princeton, to discuss how machine learning is reshaping structural biology. They explore how proteins aren’t static structures but dynamic molecular machines, and how techniques like cryo-electron microscopy combined with ML are revealing protein motion beyond traditional structure prediction. 00:11 — Introduction 00:55 — From Supercomputers to Cryo-EM 02:43 — The Rise of Cryo-EM 03:30 — Proteins as Dynamic Systems 04:30 — Inverse Problems in Biology 05:31 — Lessons from DeepMind, Industry and Academia 07:35 — Why Protein Dynamics Remain Unsolved 08:29 — Collaborating with Experimental Scientists 09:28 — What’s Overhyped and Underhyped in AI-Driven Biology 10:51 — The Future of AI-Driven Biology
11:52

During NeurIPS's 2025 conference, Ankit Gupta sat down with Ellen Zhong, an assistant professor of computer science at Princeton, to discuss how machine learning is reshaping structural biology. They explore how proteins aren’t static structures but dynamic molecular machines, and how techniques like cryo-electron microscopy combined with ML are revealing protein motion beyond traditional structure prediction. 00:11 — Introduction 00:55 — From Supercomputers to Cryo-EM 02:43 — The Rise of Cryo-EM 03:30 — Proteins as Dynamic Systems 04:30 — Inverse Problems in Biology 05:31 — Lessons from DeepMind, Industry and Academia 07:35 — Why Protein Dynamics Remain Unsolved 08:29 — Collaborating with Experimental Scientists 09:28 — What’s Overhyped and Underhyped in AI-Driven Biology 10:51 — The Future of AI-Driven Biology

Y Combinator

13,953 просмотров • 5 месяцев назад

Chancellor Merz yesterday in Egypt: We express our hope that the American president will now use the influence he has exerted on the parties involved in the region [Middle East] to work with us to exert influence on the Russian government. Because we must not forget: just a few hours' flight away, Russia's war against Ukraine has been going on for three and a half years. And for us Europeans, this war in Europe is the greatest threat to our freedom. And I make no secret of it: we are counting on the support, lasting support, of the United States of America. Just as they have shown it in this region, they must show it together with us in Ukraine and in relation to Russia.
0:55

Chancellor Merz yesterday in Egypt: We express our hope that the American president will now use the influence he has exerted on the parties involved in the region [Middle East] to work with us to exert influence on the Russian government. Because we must not forget: just a few hours' flight away, Russia's war against Ukraine has been going on for three and a half years. And for us Europeans, this war in Europe is the greatest threat to our freedom. And I make no secret of it: we are counting on the support, lasting support, of the United States of America. Just as they have shown it in this region, they must show it together with us in Ukraine and in relation to Russia.

Anton Gerashchenko

72,424 просмотров • 9 месяцев назад

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)
0:59

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 просмотров • 1 месяц назад

even so, it's the dialogue from this show that resonates with people and gives everyone a clear picture of what Gundam is about. Borrowing the words from a fiend, people have forgotten how to enjoy achronological stories. It's not impossible to learn more abour context later and come to appreciate a story even more so because of that. Stories in UC are written in a way where fans, new and old, can fully grasp the themes and story without watching anything prior and the people who make these shows know this, and entrusts the viewers with faith that they'll see it through.
1:11

even so, it's the dialogue from this show that resonates with people and gives everyone a clear picture of what Gundam is about. Borrowing the words from a fiend, people have forgotten how to enjoy achronological stories. It's not impossible to learn more abour context later and come to appreciate a story even more so because of that. Stories in UC are written in a way where fans, new and old, can fully grasp the themes and story without watching anything prior and the people who make these shows know this, and entrusts the viewers with faith that they'll see it through.

delty

43,348 просмотров • 1 год назад

Sora 2 has the capabilities to make an entire anime episode with time and effort. This is a turning point for generative AI models and it is terrifying to think what is next to come. The difference between Sora and Sora 2 is absolutely staggering. Yes, this looks cool. I put the time into it to make it as close to art as possible. This was not simple to make and not just prompting and throwing it in some editor. Every frame is generated of another scene and even the reference image for characters I used to start this project were AI generated. This was all created with 10 second clips pulled apart and chunked out into the final product. Regardless of the imagery you see, I did not directly use any artist's art for this video. This 10-minute video was generated over the course of a week from more than 700 text prompts. It was built on technology trained by scraping the uncredited, uncompensated contributions of countless human artists and animators. The creation of this single video consumed an enormous amount of energy and water, equivalent to powering a home for days and requiring hundreds of liters of fresh water for cooling. But that is nothing. In the 10 minutes you spend watching this, the global network of AI video generators will create over 6,250 more short videos. The combined energy required for that 10 minutes of global creation is enough to power an average household for nearly 2 years. - It's a double-edged sword. While AI uses immense amount of energy has clear immoral issues with scalping the hard work of artists, this also provides those a medium who have potentially spent their life attempting to draw out the ideas in their head and failing to grasp it. My sister is an artist, I grew up always attempting to draw but never could get the image in my head on paper, I've spent the better part of over 20 years to teach myself through watching videos and practice, however I don't have steady hands and frankly have just been unable to make any vision come to life. Which brings me to the conflict here. This would have been a dream of mine to be able to get frames created and flesh out the story in my head. To make this video professionally, it would be an absurd amount of money. A small studio by itself would be over a million dollars just to start up. To hire a studio would be most likely over ~200k. I would love to make this story I have in my head through legit and traditional means, I would love to start a Kickstarter to get funding and hire artists, voice actors, and a production team. However I know that would most likely be an impossible reach that would further fuel the hate. Regardless, I understand the worry this causes. The fear this produces. However, we can't just ignore where AI is currently at and just tell people not to use it or even worse threaten people who use it. People will always use the shiny new toy in front of them, so the real question is how do we either make it work for us and work along side it, or how do we ACTUALLY implement a method to protect art rather than tell people to not use it. Respect your artists. Review their ToS and don't upload their hard work to a model without permission.
10:33

Sora 2 has the capabilities to make an entire anime episode with time and effort. This is a turning point for generative AI models and it is terrifying to think what is next to come. The difference between Sora and Sora 2 is absolutely staggering. Yes, this looks cool. I put the time into it to make it as close to art as possible. This was not simple to make and not just prompting and throwing it in some editor. Every frame is generated of another scene and even the reference image for characters I used to start this project were AI generated. This was all created with 10 second clips pulled apart and chunked out into the final product. Regardless of the imagery you see, I did not directly use any artist's art for this video. This 10-minute video was generated over the course of a week from more than 700 text prompts. It was built on technology trained by scraping the uncredited, uncompensated contributions of countless human artists and animators. The creation of this single video consumed an enormous amount of energy and water, equivalent to powering a home for days and requiring hundreds of liters of fresh water for cooling. But that is nothing. In the 10 minutes you spend watching this, the global network of AI video generators will create over 6,250 more short videos. The combined energy required for that 10 minutes of global creation is enough to power an average household for nearly 2 years. - It's a double-edged sword. While AI uses immense amount of energy has clear immoral issues with scalping the hard work of artists, this also provides those a medium who have potentially spent their life attempting to draw out the ideas in their head and failing to grasp it. My sister is an artist, I grew up always attempting to draw but never could get the image in my head on paper, I've spent the better part of over 20 years to teach myself through watching videos and practice, however I don't have steady hands and frankly have just been unable to make any vision come to life. Which brings me to the conflict here. This would have been a dream of mine to be able to get frames created and flesh out the story in my head. To make this video professionally, it would be an absurd amount of money. A small studio by itself would be over a million dollars just to start up. To hire a studio would be most likely over ~200k. I would love to make this story I have in my head through legit and traditional means, I would love to start a Kickstarter to get funding and hire artists, voice actors, and a production team. However I know that would most likely be an impossible reach that would further fuel the hate. Regardless, I understand the worry this causes. The fear this produces. However, we can't just ignore where AI is currently at and just tell people not to use it or even worse threaten people who use it. People will always use the shiny new toy in front of them, so the real question is how do we either make it work for us and work along side it, or how do we ACTUALLY implement a method to protect art rather than tell people to not use it. Respect your artists. Review their ToS and don't upload their hard work to a model without permission.

LUͦʷCͦk

18,417 просмотров • 9 месяцев назад

John toured NIO's factory in China. They built an upscale EV for under $10k and went from the first shovel in the ground to the first car off the line in just 17 months. He said China knew it would always be behind in ICE cars, so it pushed aggressively into EVs to leapfrog to the next technology and gain an advantage over the rest of the world. "Going to their factory and seeing, number one, how quickly that factory is built. And second, the factory automation -- much of the process was done via robotics. Looking at the auto plants we have in the US, we still have a plant that was originally built a 100 years ago, operating outside of Chicago. The average age of a US plant is roughly 40 years now. They've been upgraded over time but I don't think they replicate what's happening with robotics in China. This combination of being able to do things really quickly with a skilled but low-cost labor force and robotics has just allowed China to create a quality product at a price that nobody in the rest of the world's really been able to figure out yet."
1:58

John toured NIO's factory in China. They built an upscale EV for under $10k and went from the first shovel in the ground to the first car off the line in just 17 months. He said China knew it would always be behind in ICE cars, so it pushed aggressively into EVs to leapfrog to the next technology and gain an advantage over the rest of the world. "Going to their factory and seeing, number one, how quickly that factory is built. And second, the factory automation -- much of the process was done via robotics. Looking at the auto plants we have in the US, we still have a plant that was originally built a 100 years ago, operating outside of Chicago. The average age of a US plant is roughly 40 years now. They've been upgraded over time but I don't think they replicate what's happening with robotics in China. This combination of being able to do things really quickly with a skilled but low-cost labor force and robotics has just allowed China to create a quality product at a price that nobody in the rest of the world's really been able to figure out yet."

Patrick OShaughnessy

50,988 просмотров • 4 месяцев назад

Robert F Kennedy Jr shares some exciting news New technology is being developed that could eliminate the use of pesticides in agriculture “There's other technology that is emerging right now, I looked at one yesterday. It's a tractor attachment that uses lasers to kill weeds — If they can make that affordable, particularly for smaller farmers, that will be the answer — they can kill bugs and they can kill weeds. You program this thing and it zaps the weeds with a laser. It makes that all the cells explode and it destroys them”
1:57

Robert F Kennedy Jr shares some exciting news New technology is being developed that could eliminate the use of pesticides in agriculture “There's other technology that is emerging right now, I looked at one yesterday. It's a tractor attachment that uses lasers to kill weeds — If they can make that affordable, particularly for smaller farmers, that will be the answer — they can kill bugs and they can kill weeds. You program this thing and it zaps the weeds with a laser. It makes that all the cells explode and it destroys them”

Wall Street Apes

89,749 просмотров • 4 месяцев назад