Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

The next frontier in protein design will not be defined by structure alone, but by the capacity to engineer motion as a first-class principle of function. This is because dynamics is where the real biology lives. Foundational work by Karplus, Levitt & Warshel made clear that chemistry cannot be... understood without motion, mechanism, and scale. Gō, Brooks & others showed that proteins possess characteristic collective motions - low-frequency normal modes that capture how whole molecules bend, breathe, and fluctuate. Frauenfelder then sharpened the picture further: proteins are not static objects occupying a single minimum, but dynamic ensembles traversing rugged energy landscapes. And yet the modern AI revolution in protein science has been, above all, a revolution in structure. In our new paper in Matter, Bo Ni and I ask a different question: not what structure will this sequence adopt? but what sequence will realize a prescribed pattern of motion? VibeGen inverts the conventional design paradigm. Rather than treating dynamics as a consequence to be analyzed after the fact, it makes dynamics the design objective from the outset. Using a language diffusion model with two cooperating agents - a designer that proposes sequences and a predictor that critiques them against the target motion profile - the system converges on de novo proteins with tailored vibrational behavior. One of the most intriguing results is a form of functional degeneracy - distinct sequences and distinct folds can satisfy the same target dynamical specification. For a given functional pattern of motion, evolution may have sampled only a small region of the physically realizable design space. The space of viable molecular mechanics may be far larger than the repertoire biology happened to discover. We have made "vibe" into a cultural metaphor - something intuitive, affective, subjective. But at the molecular scale, vibe is not metaphor: It is physics. For a protein, the vibe is the pattern of motion itself; the fluctuations, resonances, and collective displacements that determine what the molecule can do.show more

Markus J. Buehler

20,534 subscribers

89,498 Aufrufe • vor 2 Monaten •via X (Twitter)

Bildung Gesundheit & Wellness Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

We're thrilled to present ESM3 in Science Magazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API for biological intelligence. Trained with over a trillion teraflops of compute, this is the first time a model of this scale has been trained for biology, pushing the frontier of AI for biological discovery and engineering. ESM3 learns to represent the immense complexity of protein biology, learning from billions of natural proteins. From this training it developed the capability to design proteins, responding to complex prompts combining atomic level details and high level instructions to generate new proteins. ESM3 can explore protein space far beyond natural evolution. We prompted ESM3 to generate a fluorescent protein at a far distance from any known fluorescent proteins, searching an unknown region of protein space, to discover a new fluorescent protein. We estimate this is equivalent to simulating five hundred million years of evolution.

We're thrilled to present ESM3 in Science Magazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API for biological intelligence. Trained with over a trillion teraflops of compute, this is the first time a model of this scale has been trained for biology, pushing the frontier of AI for biological discovery and engineering. ESM3 learns to represent the immense complexity of protein biology, learning from billions of natural proteins. From this training it developed the capability to design proteins, responding to complex prompts combining atomic level details and high level instructions to generate new proteins. ESM3 can explore protein space far beyond natural evolution. We prompted ESM3 to generate a fluorescent protein at a far distance from any known fluorescent proteins, searching an unknown region of protein space, to discover a new fluorescent protein. We estimate this is equivalent to simulating five hundred million years of evolution.

Alex Rives

227,194 Aufrufe • vor 1 Jahr

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.

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 Aufrufe • vor 5 Monaten

A physical system, its phase-space state, and the energy function that governs the flow, all linked together. The point of the animation is that these are not three different objects. They are three views of the same dynamics. The pendulum on the left is the physical motion. The curve on the floor is the evolution of its state. The translucent surface shows the energy landscape that organizes that motion.

A physical system, its phase-space state, and the energy function that governs the flow, all linked together. The point of the animation is that these are not three different objects. They are three views of the same dynamics. The pendulum on the left is the physical motion. The curve on the floor is the evolution of its state. The translucent surface shows the energy landscape that organizes that motion.

Mathelirium

19,655 Aufrufe • vor 2 Monaten

What seemed like an intractable problem is now possible: To design proteins with a specified nonlinear mechanical response, capturing complex folding and unfolding mechanisms in singe and few-shot computations. We present ForceGen, an end-to-end algorithm for de novo protein generation based on nonlinear mechanical unfolding responses. Rooted in the physics of protein mechanics, this generative strategy provides a powerful way to design new proteins rapidly, including exquisite and rapid predictions about their dynamical behavior. Proteins, like any other mechanical object, respond to forces in peculiar ways. Think of the different response you'd get from pulling on a steel cable versus pulling on a rubber band, or the difference between honey and glass. Now, we can design proteins with a set of desirable mechanical characteristics, with applications from health to sustainable plastics. The key to solving this problem was to integrate a protein language model with denoising diffusion methods, and using accurate atomistic-level physical simulation data to endow the model a first-principles understanding. ForceGen can solve both forward and inverse tasks: In the forward task, we can predict how stable a protein is, how it will unfold and what the forces involved are, all given just the sequence of amino acids. In the inverse task, we can design new proteins that meet complex nonlinear mechanical signature targets. Read the paper, led by LAMM@MIT postdoc Bo Ni, published in Science Advances: Why do we care about the mechanics of proteins? The mechanics of proteins are critical elements of many living systems - as evidenced in many studies of mechanobiology. Through evolution, nature has presented a set of remarkable protein materials with unique mechanical functions like elastins, silks, keratins or collagens that play crucial roles in biology. However, going beyond natural designs to discover proteins that meet specified mechanical properties remains challenging. So far, the only way to do this was to use existing evolutionary concepts or to manually alter proteins. With our new generative model we can directly design proteins to meet complex nonlinear mechanical property-design objectives. ForceGen leverages deep knowledge on protein sequences from a pretrained protein language model and maps mechanical unfolding responses to create proteins. Via full-atom molecular simulations for direct validation from physical and chemical principles, we demonstrate that the designed proteins are de novo, and fulfill the targeted mechanical properties, including unfolding energy and mechanical strength, and a detailed unfolding force-separation curves. ForceGen offers rapid pathways to explore the enormous mechanobiological protein sequence space unconstrained by biological synthesis, to enable the discovery of new protein materials with superior mechanical properties. B. Ni, D.L. Kaplan, M.J. Buehler, ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model. Sci. Adv. 10, eadl4000 (2024). DOI: 10.1126/sciadv.adl4000 Codes and model weights available Hugging Face: David Kaplan

What seemed like an intractable problem is now possible: To design proteins with a specified nonlinear mechanical response, capturing complex folding and unfolding mechanisms in singe and few-shot computations. We present ForceGen, an end-to-end algorithm for de novo protein generation based on nonlinear mechanical unfolding responses. Rooted in the physics of protein mechanics, this generative strategy provides a powerful way to design new proteins rapidly, including exquisite and rapid predictions about their dynamical behavior. Proteins, like any other mechanical object, respond to forces in peculiar ways. Think of the different response you'd get from pulling on a steel cable versus pulling on a rubber band, or the difference between honey and glass. Now, we can design proteins with a set of desirable mechanical characteristics, with applications from health to sustainable plastics. The key to solving this problem was to integrate a protein language model with denoising diffusion methods, and using accurate atomistic-level physical simulation data to endow the model a first-principles understanding. ForceGen can solve both forward and inverse tasks: In the forward task, we can predict how stable a protein is, how it will unfold and what the forces involved are, all given just the sequence of amino acids. In the inverse task, we can design new proteins that meet complex nonlinear mechanical signature targets. Read the paper, led by LAMM@MIT postdoc Bo Ni, published in Science Advances: Why do we care about the mechanics of proteins? The mechanics of proteins are critical elements of many living systems - as evidenced in many studies of mechanobiology. Through evolution, nature has presented a set of remarkable protein materials with unique mechanical functions like elastins, silks, keratins or collagens that play crucial roles in biology. However, going beyond natural designs to discover proteins that meet specified mechanical properties remains challenging. So far, the only way to do this was to use existing evolutionary concepts or to manually alter proteins. With our new generative model we can directly design proteins to meet complex nonlinear mechanical property-design objectives. ForceGen leverages deep knowledge on protein sequences from a pretrained protein language model and maps mechanical unfolding responses to create proteins. Via full-atom molecular simulations for direct validation from physical and chemical principles, we demonstrate that the designed proteins are de novo, and fulfill the targeted mechanical properties, including unfolding energy and mechanical strength, and a detailed unfolding force-separation curves. ForceGen offers rapid pathways to explore the enormous mechanobiological protein sequence space unconstrained by biological synthesis, to enable the discovery of new protein materials with superior mechanical properties. B. Ni, D.L. Kaplan, M.J. Buehler, ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model. Sci. Adv. 10, eadl4000 (2024). DOI: 10.1126/sciadv.adl4000 Codes and model weights available Hugging Face: David Kaplan

Markus J. Buehler

47,242 Aufrufe • vor 2 Jahren

Yuval Noah Harari, speaking at the WEF: "Control of data might enable human elites to do something even more radical than just build digital dictatorships." "By hacking organisms, elites may gain the power to re-engineer the future of life itself." "If indeed we succeed in hacking and engineering life, this will be not just the greatest revolution in the history of humanity, this will be the greatest revolution in biology." "Science is replacing evolution by natural selection with evolution by intelligent design—not the intelligent design of some god above the clouds, but our intelligent design, and the intelligent design of our clouds: the IBM cloud, the Microsoft cloud." "These are the new driving forces of evolution."

Yuval Noah Harari, speaking at the WEF: "Control of data might enable human elites to do something even more radical than just build digital dictatorships." "By hacking organisms, elites may gain the power to re-engineer the future of life itself." "If indeed we succeed in hacking and engineering life, this will be not just the greatest revolution in the history of humanity, this will be the greatest revolution in biology." "Science is replacing evolution by natural selection with evolution by intelligent design—not the intelligent design of some god above the clouds, but our intelligent design, and the intelligent design of our clouds: the IBM cloud, the Microsoft cloud." "These are the new driving forces of evolution."

Wide Awake Media

202,306 Aufrufe • vor 1 Jahr

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.

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 Aufrufe • vor 8 Monaten

This is how DNA turns raw data into functional proteins - the building blocks of all your cells. This system requires a minimum of 3 key players working together: DNA: the master blueprint with the instructions RNA Polymerase: reads the DNA and makes a temporary copy called mRNA which carries the instructions to the Ribosome for how to create the Protein Ribosome: the tiny factory that reads the mRNA and strings amino acids together in a specific sequence to create a protein Without all three molecules working together, Proteins cannot be created, cells don't function, and Life ends. Everything needs to fit together, precisely & perfectly, or it all falls apart. In other words: this system cannot evolve, one step at a time. DNA relies other machines made of proteins to create those very proteins - but those proteins can't be made without the information in the DNA. And on top of that, this whole system relies on OTHER systems! You need other things like ATP Synthase that makes energy to power everything, tRNA to carry the amino acids to the Ribosome, other helper proteins, processing enzymes, etc. It's an extremely complex, interdependent network of parts & systems that all rely on each other. The cell is an astounding level of complexity that surpasses anything in human engineering. It's obvious this is intelligently designed. To deny that is absurd.

This is how DNA turns raw data into functional proteins - the building blocks of all your cells. This system requires a minimum of 3 key players working together: DNA: the master blueprint with the instructions RNA Polymerase: reads the DNA and makes a temporary copy called mRNA which carries the instructions to the Ribosome for how to create the Protein Ribosome: the tiny factory that reads the mRNA and strings amino acids together in a specific sequence to create a protein Without all three molecules working together, Proteins cannot be created, cells don't function, and Life ends. Everything needs to fit together, precisely & perfectly, or it all falls apart. In other words: this system cannot evolve, one step at a time. DNA relies other machines made of proteins to create those very proteins - but those proteins can't be made without the information in the DNA. And on top of that, this whole system relies on OTHER systems! You need other things like ATP Synthase that makes energy to power everything, tRNA to carry the amino acids to the Ribosome, other helper proteins, processing enzymes, etc. It's an extremely complex, interdependent network of parts & systems that all rely on each other. The cell is an astounding level of complexity that surpasses anything in human engineering. It's obvious this is intelligently designed. To deny that is absurd.

Divinely Designed

22,903 Aufrufe • vor 5 Monaten

Russian Genius Found Structure in The Mess of Turbulence In 1941, Andrey Kolmogorov proposed a simple but powerful picture of turbulence: Energy does not disappear where it is injected but moves. Large eddies pass energy to smaller ones, those smaller ones feed even finer motion, and viscosity finally removes it at the tiniest scales. That cascade picture became one of the foundations of modern turbulence theory. The point is not just that turbulence looks messy. The point is that the mess has structure, and Kolmogorov’s great insight was to treat that structure statistically.

Russian Genius Found Structure in The Mess of Turbulence In 1941, Andrey Kolmogorov proposed a simple but powerful picture of turbulence: Energy does not disappear where it is injected but moves. Large eddies pass energy to smaller ones, those smaller ones feed even finer motion, and viscosity finally removes it at the tiniest scales. That cascade picture became one of the foundations of modern turbulence theory. The point is not just that turbulence looks messy. The point is that the mess has structure, and Kolmogorov’s great insight was to treat that structure statistically.

Mathelirium

58,963 Aufrufe • vor 2 Monaten

Proteins are the machinery of life. Scientists have cataloged billions of protein sequences—but their biology is still mostly unknown. Today we're releasing a world model of protein biology: a scientific engine for prediction, design, and discovery that consists of ESMFold2, ESMC, and ESM Atlas. Together, they're helping to open up a new way for researchers to design proteins and speed up scientific discovery. Our mission is to cure or prevent disease. To do that, we need to accelerate science. That's why we're releasing all three openly.

Proteins are the machinery of life. Scientists have cataloged billions of protein sequences—but their biology is still mostly unknown. Today we're releasing a world model of protein biology: a scientific engine for prediction, design, and discovery that consists of ESMFold2, ESMC, and ESM Atlas. Together, they're helping to open up a new way for researchers to design proteins and speed up scientific discovery. Our mission is to cure or prevent disease. To do that, we need to accelerate science. That's why we're releasing all three openly.

biohub

76,644 Aufrufe • vor 25 Tagen

MotionGPT: Human Motion as a Foreign Language paper page: Though the advancement of pre-trained large language models unfolds, the exploration of building a unified model for language and other multi-modal data, such as motion, remains challenging and untouched so far. Fortunately, human motion displays a semantic coupling akin to human language, often perceived as a form of body language. By fusing language data with large-scale motion models, motion-language pre-training that can enhance the performance of motion-related tasks becomes feasible. Driven by this insight, we propose MotionGPT, a unified, versatile, and user-friendly motion-language model to handle multiple motion-relevant tasks. Specifically, we employ the discrete vector quantization for human motion and transfer 3D motion into motion tokens, similar to the generation process of word tokens. Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language. Moreover, inspired by prompt learning, we pre-train MotionGPT with a mixture of motion-language data and fine-tune it on prompt-based question-and-answer tasks. Extensive experiments demonstrate that MotionGPT achieves state-of-the-art performances on multiple motion tasks including text-driven motion generation, motion captioning, motion prediction, and motion in-between.

MotionGPT: Human Motion as a Foreign Language paper page: Though the advancement of pre-trained large language models unfolds, the exploration of building a unified model for language and other multi-modal data, such as motion, remains challenging and untouched so far. Fortunately, human motion displays a semantic coupling akin to human language, often perceived as a form of body language. By fusing language data with large-scale motion models, motion-language pre-training that can enhance the performance of motion-related tasks becomes feasible. Driven by this insight, we propose MotionGPT, a unified, versatile, and user-friendly motion-language model to handle multiple motion-relevant tasks. Specifically, we employ the discrete vector quantization for human motion and transfer 3D motion into motion tokens, similar to the generation process of word tokens. Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language. Moreover, inspired by prompt learning, we pre-train MotionGPT with a mixture of motion-language data and fine-tune it on prompt-based question-and-answer tasks. Extensive experiments demonstrate that MotionGPT achieves state-of-the-art performances on multiple motion tasks including text-driven motion generation, motion captioning, motion prediction, and motion in-between.

AK

125,319 Aufrufe • vor 3 Jahren

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.

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 Aufrufe • vor 5 Monaten

Elon Musk just described a future where money does not exist. Not reformed. Not redistributed. Gone. Musk: “I think things will just be free in the future. If you’ve got an AI robotics economy that is anywhere close to a million times the size of the current Earth economy, literally any need you possibly want can be met.” Forget the sci-fi framing. Listen to what he is actually saying. The entire structure of human civilization runs on a single variable. You need something you cannot freely access. That gap is not a flaw in the system. It is the system. Your employer does not pay you because your work has value. Your employer pays you because you have no choice but to show up. Your government does not protect you out of principle. It maintains order because your dependency on the economy makes you governable. Scarcity is not a natural condition. It is the most successful control structure ever built. Musk: “If you can think of it, you can have it.” Now ask what happens when that structure collapses. A population that does not need a paycheck cannot be managed by one. A population that does not need credit cannot be disciplined by debt. A population that has everything has no reason to comply with anything. This is not a conversation about free goods. This is a conversation about the largest redistribution of leverage in recorded history. But there is a second collapse no one is talking about. Most people have built their entire identity around the constraint. The career they resent is the structure that tells them where to be every morning. The bills they complain about are the exact reason they never had to ask a harder question. Musk: “There actually isn’t money in the future and there’s abundance for everyone.” When the constraint disappears, so does the excuse. The crisis of the coming century will not be material. It will be millions of people standing in total freedom. Discovering they have no idea who they are without the struggle. Every barrier will be gone. And you will finally have to face the one thing scarcity has been protecting you from your entire life. Yourself.

Elon Musk just described a future where money does not exist. Not reformed. Not redistributed. Gone. Musk: “I think things will just be free in the future. If you’ve got an AI robotics economy that is anywhere close to a million times the size of the current Earth economy, literally any need you possibly want can be met.” Forget the sci-fi framing. Listen to what he is actually saying. The entire structure of human civilization runs on a single variable. You need something you cannot freely access. That gap is not a flaw in the system. It is the system. Your employer does not pay you because your work has value. Your employer pays you because you have no choice but to show up. Your government does not protect you out of principle. It maintains order because your dependency on the economy makes you governable. Scarcity is not a natural condition. It is the most successful control structure ever built. Musk: “If you can think of it, you can have it.” Now ask what happens when that structure collapses. A population that does not need a paycheck cannot be managed by one. A population that does not need credit cannot be disciplined by debt. A population that has everything has no reason to comply with anything. This is not a conversation about free goods. This is a conversation about the largest redistribution of leverage in recorded history. But there is a second collapse no one is talking about. Most people have built their entire identity around the constraint. The career they resent is the structure that tells them where to be every morning. The bills they complain about are the exact reason they never had to ask a harder question. Musk: “There actually isn’t money in the future and there’s abundance for everyone.” When the constraint disappears, so does the excuse. The crisis of the coming century will not be material. It will be millions of people standing in total freedom. Discovering they have no idea who they are without the struggle. Every barrier will be gone. And you will finally have to face the one thing scarcity has been protecting you from your entire life. Yourself.

Dustin

41,686 Aufrufe • vor 1 Monat

Great explanation by Bret Weinstein: "The mRNA platform solves a problem. It is a gene therapy technology, and it allows you to deliver an mRNA message. mRNA means messenger RNA. Usually messenger RNA is produced in the nucleus of your cells. It moves to the cytoplasm, and then something called a ribosome translates it into protein." "Protein does the work of the cell. It creates most of the structures of the cell. So what they innovated was a mechanism for getting RNA messages that they controlled, that they dictated into cells so that your cells would produce a vaccine-like substance. So instead of a vaccine factory, they had a factory that produces a injectable that turns your cell into a factory." "I mean, it's a brilliant idea at one level Not ready to be injected into a human being and frankly There is a fundamental flaw in it that cannot be solved with present technology. This is where the rubber meets the road. When you get sick with a virus, that virus hijacks your cells. Your cells are covered in protein that you yourself produce." "By a complex process in utero, your immune system learns to ignore every protein that you yourself make. So the way immunity works is you learn to ignore your own proteins and then anytime you see something that you don't recognize. You fight it as a pathogen. When a virus invades your cells it hijacks them and they produce more virus. They do that they produce proteins that your immune system does not recognize." "So your immune system has a capacity to surveil all your cells and when it encounters a cell that is putting out proteins that you yourself make but also proteins. It doesn't recognize it regards those cells as virally infected and it destroys them because no matter how important the cell in question is right? There's no way to get the virus out of it. So killing it is a better plan than leaving it in place." "So now these folks who made the mRNA vaccines inject them into people and they tell us that the vaccine will stay in the deltoid. Well, no, it's not going to stay in the deltoid. You're injecting a fluid into a space that doesn't have room for it's going to leak out and in many cases, the needle itself will just by accident have landed in a vein and that injection will actually go in a concentrated way into the bloodstream." "There is no targeting mechanism at all on the lipid nanoparticles the fats that are used to transport these mRNA messages into the body. You may remember from chemistry that like dissolves like. Fats are what these mRNAs are coated in every cell in your body has a fat layer on the outside. Those fats join the mRNA message goes into the cell the cell starts producing this foreign protein your immune system Sees that foreign protein." "This is actually part of the design. Your immune system is supposed to see it That's where the immunity is supposed to come from But your immune system in recognizing these foreign proteins on your own cells will assume they are virally infected and it will destroy them." "If that happens in your deltoid, not a huge deal. If it happens in your liver, probably not a huge deal if it happens in your heart It's a huge deal, especially if you've got a big concentrated glob of it. So a bunch of cells in your heart were producing these foreign proteins and got attacked by your immune system because your heart, a is very well protected." "So it doesn't usually suffer from insults. B it has very low capacity for repair. In fact, mostly it doesn't repair it's scars. Hmm. So if you've got a concentrated dose of this in your heart a bunch of your heart cells got transfected. Your immune system will kill those cells that leaves you with a wound." "It's a wound you don't even know you have because your heart is not innervated for you to be able to feel that damage. There's no benefit to it because such damage would be very unusual so you've got a damaged heart. It's never gonna be the same." "At best months will pass and it will scar over but at worst maybe you're on the soccer field and you're going to score the big goal and your blood pressure goes up to a level that hasn't been in months and that wound does arbitrary things. Maybe you collapse. So the key the punchline to this story is none of those things have anything to do with the content of the message that was encoded into these things." "That just has to do with the platform. The platform has this defect built into it, and anything, any disease you attempted to remedy with this mechanism would cause the same problem. So that's a dire failure. I would also point out, there are many other flaws with this technology. The way the mRNA molecules were stabilized was irresponsible." "It made for a process that cannot be terminated and is not naturally terminated by biological biological pathways. It also caused the ribosomes to incorrectly translate into protein so that you get arbitrary products that have arbitrary consequences. The manufacturing of these injectables was piss poor the quality control was garbage." "There are all kinds of impurities contaminants including DNA from SV40 which has potentially cancer inducing properties so these shots were an absolute horror show design failure after design failure manufacturing flaw after manufacturing flaw and the idea that anybody injected healthy people with them is needs to be explained."

Great explanation by Bret Weinstein: "The mRNA platform solves a problem. It is a gene therapy technology, and it allows you to deliver an mRNA message. mRNA means messenger RNA. Usually messenger RNA is produced in the nucleus of your cells. It moves to the cytoplasm, and then something called a ribosome translates it into protein." "Protein does the work of the cell. It creates most of the structures of the cell. So what they innovated was a mechanism for getting RNA messages that they controlled, that they dictated into cells so that your cells would produce a vaccine-like substance. So instead of a vaccine factory, they had a factory that produces a injectable that turns your cell into a factory." "I mean, it's a brilliant idea at one level Not ready to be injected into a human being and frankly There is a fundamental flaw in it that cannot be solved with present technology. This is where the rubber meets the road. When you get sick with a virus, that virus hijacks your cells. Your cells are covered in protein that you yourself produce." "By a complex process in utero, your immune system learns to ignore every protein that you yourself make. So the way immunity works is you learn to ignore your own proteins and then anytime you see something that you don't recognize. You fight it as a pathogen. When a virus invades your cells it hijacks them and they produce more virus. They do that they produce proteins that your immune system does not recognize." "So your immune system has a capacity to surveil all your cells and when it encounters a cell that is putting out proteins that you yourself make but also proteins. It doesn't recognize it regards those cells as virally infected and it destroys them because no matter how important the cell in question is right? There's no way to get the virus out of it. So killing it is a better plan than leaving it in place." "So now these folks who made the mRNA vaccines inject them into people and they tell us that the vaccine will stay in the deltoid. Well, no, it's not going to stay in the deltoid. You're injecting a fluid into a space that doesn't have room for it's going to leak out and in many cases, the needle itself will just by accident have landed in a vein and that injection will actually go in a concentrated way into the bloodstream." "There is no targeting mechanism at all on the lipid nanoparticles the fats that are used to transport these mRNA messages into the body. You may remember from chemistry that like dissolves like. Fats are what these mRNAs are coated in every cell in your body has a fat layer on the outside. Those fats join the mRNA message goes into the cell the cell starts producing this foreign protein your immune system Sees that foreign protein." "This is actually part of the design. Your immune system is supposed to see it That's where the immunity is supposed to come from But your immune system in recognizing these foreign proteins on your own cells will assume they are virally infected and it will destroy them." "If that happens in your deltoid, not a huge deal. If it happens in your liver, probably not a huge deal if it happens in your heart It's a huge deal, especially if you've got a big concentrated glob of it. So a bunch of cells in your heart were producing these foreign proteins and got attacked by your immune system because your heart, a is very well protected." "So it doesn't usually suffer from insults. B it has very low capacity for repair. In fact, mostly it doesn't repair it's scars. Hmm. So if you've got a concentrated dose of this in your heart a bunch of your heart cells got transfected. Your immune system will kill those cells that leaves you with a wound." "It's a wound you don't even know you have because your heart is not innervated for you to be able to feel that damage. There's no benefit to it because such damage would be very unusual so you've got a damaged heart. It's never gonna be the same." "At best months will pass and it will scar over but at worst maybe you're on the soccer field and you're going to score the big goal and your blood pressure goes up to a level that hasn't been in months and that wound does arbitrary things. Maybe you collapse. So the key the punchline to this story is none of those things have anything to do with the content of the message that was encoded into these things." "That just has to do with the platform. The platform has this defect built into it, and anything, any disease you attempted to remedy with this mechanism would cause the same problem. So that's a dire failure. I would also point out, there are many other flaws with this technology. The way the mRNA molecules were stabilized was irresponsible." "It made for a process that cannot be terminated and is not naturally terminated by biological biological pathways. It also caused the ribosomes to incorrectly translate into protein so that you get arbitrary products that have arbitrary consequences. The manufacturing of these injectables was piss poor the quality control was garbage." "There are all kinds of impurities contaminants including DNA from SV40 which has potentially cancer inducing properties so these shots were an absolute horror show design failure after design failure manufacturing flaw after manufacturing flaw and the idea that anybody injected healthy people with them is needs to be explained."

Camus

607,223 Aufrufe • vor 1 Jahr

Martha Nussbaum on why Aristotle believed you are not made of matter. In a 1987 interview on the Great Philosophers, philosopher Martha Nussbaum lays out Aristotle's three-part case against material reductionism, the idea that what you fundamentally are is just the stuff you're made of. His argument is more intuitive than it might sound. First: your matter is always changing. "Matter is always going in and out; it's always changing and of course you do change your material constituents very, very often without ceasing to be yourself." Your cells replace themselves. Your body is not the same collection of atoms it was years ago. And yet you are still you. If your identity were your matter, it would vanish and return constantly. But it doesn't. Something persists that isn't the material. Second: what makes a thing that thing is its function, not its parts. Aristotle uses the example of a ship. Replace some of its planks so long as "its functional structure remains the same, we could always replace bits of the matter without having a different thing in our hands." It's still the same ship. The same logic applies to you. Swap out the components, preserve the structure and function and the identity remains intact. This suggests identity lives in the organisation, not the raw material. Third: matter alone is too vague to define anything. This is perhaps his sharpest point. "Matter is just a lump or heap of stuff and so we couldn't say you are some stuff or other; it's only when we've identified the structure that the stuff constitutes that we can even go on to say something intelligent about the stuff itself." In other words: matter, by itself, tells you nothing. It's formless. You need structure form, function, organisation before you can even begin to describe what a thing is. The deeper implication Aristotle is reaching toward: what makes you you isn't a quantity of carbon and water. It's a pattern. A functional whole. A form that persists through constant material flux. Which raises the question if identity isn't located in matter, where exactly does it live?

Martha Nussbaum on why Aristotle believed you are not made of matter. In a 1987 interview on the Great Philosophers, philosopher Martha Nussbaum lays out Aristotle's three-part case against material reductionism, the idea that what you fundamentally are is just the stuff you're made of. His argument is more intuitive than it might sound. First: your matter is always changing. "Matter is always going in and out; it's always changing and of course you do change your material constituents very, very often without ceasing to be yourself." Your cells replace themselves. Your body is not the same collection of atoms it was years ago. And yet you are still you. If your identity were your matter, it would vanish and return constantly. But it doesn't. Something persists that isn't the material. Second: what makes a thing that thing is its function, not its parts. Aristotle uses the example of a ship. Replace some of its planks so long as "its functional structure remains the same, we could always replace bits of the matter without having a different thing in our hands." It's still the same ship. The same logic applies to you. Swap out the components, preserve the structure and function and the identity remains intact. This suggests identity lives in the organisation, not the raw material. Third: matter alone is too vague to define anything. This is perhaps his sharpest point. "Matter is just a lump or heap of stuff and so we couldn't say you are some stuff or other; it's only when we've identified the structure that the stuff constitutes that we can even go on to say something intelligent about the stuff itself." In other words: matter, by itself, tells you nothing. It's formless. You need structure form, function, organisation before you can even begin to describe what a thing is. The deeper implication Aristotle is reaching toward: what makes you you isn't a quantity of carbon and water. It's a pattern. A functional whole. A form that persists through constant material flux. Which raises the question if identity isn't located in matter, where exactly does it live?

Mateus — eu/acc 🇪🇺

69,935 Aufrufe • vor 3 Monaten

Can Claude Code design proteins? We're just about to release our wet lab API + SDK so we made a quick demo to test how agents can interact with protein design models and submit the proteins to our lab for testing. This closes the loop between the computational design and the experiment validation We queued up a bunch of agent-designed proteins for wet lab validation, will release the results in a couple weeks on Proteinbase

Can Claude Code design proteins? We're just about to release our wet lab API + SDK so we made a quick demo to test how agents can interact with protein design models and submit the proteins to our lab for testing. This closes the loop between the computational design and the experiment validation We queued up a bunch of agent-designed proteins for wet lab validation, will release the results in a couple weeks on Proteinbase

Julian Englert

80,923 Aufrufe • vor 5 Monaten

INSECURITY: LET'S TELL PRESIDENT TINUBU THE TRUTH, NOT COMMENDATION Today, the Senate had an elaborate discussion on the security situation in the country, which has worsened in the last few weeks. When the Senate President recognised me to speak, I started by reminding him how I raised this issue with him a couple of days ago, and the need for us to work together. I added that it was good the matter had come up by way of a motion. I felt that the deterioration of the security situation in most communities, the killings and abductions, and even the killing of soldiers and officers — one of them of the rank of Brigadier General — and the way terrorists are abducting students, with bandits attacking several States at the same time, are situations that even nations at war do not experience. Therefore, the matter should be examined with all the seriousness it deserves. I stated that it is very clear that not only our democracy is under threat, but the nation itself is being reduced, belittled, and threatened. I also disagreed with the approach and tone of the motion, and some of the comments from members of the majority party who, in my view, were unnecessarily political. That, in my view, did not match the seriousness of the issue. At this point, the Senate President did not allow me to conclude my comments. But what I was saying was that, yes, as I have said several times, the entire nation is under attack, and we must all unite to address this challenge. I do not agree with the request in the motion, supported by the majority of speakers from the majority party, that the President and the government should be commended. I disagree with it.

INSECURITY: LET'S TELL PRESIDENT TINUBU THE TRUTH, NOT COMMENDATION Today, the Senate had an elaborate discussion on the security situation in the country, which has worsened in the last few weeks. When the Senate President recognised me to speak, I started by reminding him how I raised this issue with him a couple of days ago, and the need for us to work together. I added that it was good the matter had come up by way of a motion. I felt that the deterioration of the security situation in most communities, the killings and abductions, and even the killing of soldiers and officers — one of them of the rank of Brigadier General — and the way terrorists are abducting students, with bandits attacking several States at the same time, are situations that even nations at war do not experience. Therefore, the matter should be examined with all the seriousness it deserves. I stated that it is very clear that not only our democracy is under threat, but the nation itself is being reduced, belittled, and threatened. I also disagreed with the approach and tone of the motion, and some of the comments from members of the majority party who, in my view, were unnecessarily political. That, in my view, did not match the seriousness of the issue. At this point, the Senate President did not allow me to conclude my comments. But what I was saying was that, yes, as I have said several times, the entire nation is under attack, and we must all unite to address this challenge. I do not agree with the request in the motion, supported by the majority of speakers from the majority party, that the President and the government should be commended. I disagree with it.

Henry Seriake Dickson

84,585 Aufrufe • vor 6 Monaten

Ilya Sutskever explains why AI will do 100% the work that human can do within few years. "Slowly but surely, or maybe not so slowly, AI will keep getting better. The day will come when AI will do all of our, all the things that we can do, not just some of them, but all of them. Anything which I can learn, anything which any one of you can learn, the AI could do as well. How do we know this, by the way? How can I be so sure? How can I be so sure of that? The reason is that all of us have a brain, and the brain is a biological computer. That's why we have a brain; the brain is a biological computer. So why can't the digital computer, a digital brain, do the same things? This is the one-sentence summary for why AI will be able to do all those things: because we have a brain, and the brain is a biological computer." --- Full Video on 'University of Toronto' YT Channel (link in comment)

Ilya Sutskever explains why AI will do 100% the work that human can do within few years. "Slowly but surely, or maybe not so slowly, AI will keep getting better. The day will come when AI will do all of our, all the things that we can do, not just some of them, but all of them. Anything which I can learn, anything which any one of you can learn, the AI could do as well. How do we know this, by the way? How can I be so sure? How can I be so sure of that? The reason is that all of us have a brain, and the brain is a biological computer. That's why we have a brain; the brain is a biological computer. So why can't the digital computer, a digital brain, do the same things? This is the one-sentence summary for why AI will be able to do all those things: because we have a brain, and the brain is a biological computer." --- Full Video on 'University of Toronto' YT Channel (link in comment)

Rohan Paul

334,691 Aufrufe • vor 9 Monaten

Our general understanding of the characteristics of the physical world are largely restricted by the limited range of our senses. The world appears to be comprised of tangible objects positioned within empty space, separate and distinct. Neither of these characterizations are true. Our unaided senses generate a false interpretation of the true state of reality. Space is note empty, it is substantive with a quantifiable and measurable energy density. Space, in terms of quantum vacuum fluctuations, can be considered as a veritable sea of oscillating energy, like a fluid, quantized at the Planck scale (a billion trillion trillion times smaller than a centimeter) as Planck spherical units, and these tiny oscillators make up the fluid medium of space and comprise the "material" stuff as well. Imagine being able to directly perceive this level of reality. Our photodetector proteins in our eyes are sensitive to electromagnetic radiation in the frequency range of 400 to 800 terahertz (trillions of oscillations per second), and we call this "visible light". If, however, we could see light at the Planck scale, were photons oscillate at the Planck frequency— a mass-energy value that makes the electromagnetic component at order of unity with spacetime curvature— then we would theoretically see directly the substantive fluid medium of space and our sight would relay a world that is integrally interconnected and all one substance; objects would not appear as separate and distinct or even fundamentally different than the substance comprising the bulk space. "Material" objects would appear just as patterned vortices of the fluid that is the very substance of space. So, tangible objects are made of the same substance as space, and only seem physical to our limited senses because of electromagnetic repulsive forces. The electromagnetic repulsive forces are generated by how these PSUs circulate and flow within the structured patterns of space that we call particles and atoms. In this way, the coherent phases, circulation, flow, and pressure forces of this Planck plasma fluid are the source of mass, force, and charge. We are now coming to an understanding of these dynamics at a fundamental level, exemplified in the publication The Origin of Mass and the Nature of Gravity 🔗

Our general understanding of the characteristics of the physical world are largely restricted by the limited range of our senses. The world appears to be comprised of tangible objects positioned within empty space, separate and distinct. Neither of these characterizations are true. Our unaided senses generate a false interpretation of the true state of reality. Space is note empty, it is substantive with a quantifiable and measurable energy density. Space, in terms of quantum vacuum fluctuations, can be considered as a veritable sea of oscillating energy, like a fluid, quantized at the Planck scale (a billion trillion trillion times smaller than a centimeter) as Planck spherical units, and these tiny oscillators make up the fluid medium of space and comprise the "material" stuff as well. Imagine being able to directly perceive this level of reality. Our photodetector proteins in our eyes are sensitive to electromagnetic radiation in the frequency range of 400 to 800 terahertz (trillions of oscillations per second), and we call this "visible light". If, however, we could see light at the Planck scale, were photons oscillate at the Planck frequency— a mass-energy value that makes the electromagnetic component at order of unity with spacetime curvature— then we would theoretically see directly the substantive fluid medium of space and our sight would relay a world that is integrally interconnected and all one substance; objects would not appear as separate and distinct or even fundamentally different than the substance comprising the bulk space. "Material" objects would appear just as patterned vortices of the fluid that is the very substance of space. So, tangible objects are made of the same substance as space, and only seem physical to our limited senses because of electromagnetic repulsive forces. The electromagnetic repulsive forces are generated by how these PSUs circulate and flow within the structured patterns of space that we call particles and atoms. In this way, the coherent phases, circulation, flow, and pressure forces of this Planck plasma fluid are the source of mass, force, and charge. We are now coming to an understanding of these dynamics at a fundamental level, exemplified in the publication The Origin of Mass and the Nature of Gravity 🔗

Nassim Haramein

15,937 Aufrufe • vor 2 Jahren

What if the "flaws" in a system are actually the source code of its intelligence? In new work, we argue that invention behaves like a phase transition driven by exactly this dynamic: novelty is a thermodynamic response to constraint failure. When a system can no longer resolve its inputs within its current degrees of freedom, it is forced to expand its representational space - introducing new effective variables to restore feasibility. Thus innovation is not an accident; it is what a viable system does when the old model stops closing. This allowed us to extract the shared mechanics behind diverse phenomena: rote discovery, creativity, and the spark of insight. We show that symmetry breaking is the new optimization. We exhaustively mapped the topological landscape of matter and musical systems and found that the stabilizing vector is selective imperfection: a specific topological regime that rejects both sterile perfection and incoherent randomness. Strikingly, whether in the Hall-Petch strengthening of high-entropy alloys, function-driving geometry of proteins, or the cultural evolution of musical scales, the corridor for maximum coherence and adaptability is defined by a calculated defect. The physics of resilience and the mathematics of beauty appear to be running the same algorithm. This allows us to hack the vibrational stack by treating vibration as a universal isomorphic operator. We are liquefying the boundary between matter, sound, and intelligence, creating an epistemic inversion: listening becomes a form of seeing and creating. We are translating femtosecond molecular vibrations into audible spectra to design de novo proteins by creating direct lines of communication between Bach and deep-time evolution, and using the "glitch" logic of biology to build swarm AI. The distinction between a spider web’s stress tensor and a musical composition is collapsing; both are generative acts of world-building under constraint. For AI, the implication is straightforward: interpolation is not invention. True structural invention requires systems that can metabolize constraint failure - treating it as the exact point where new degrees of freedom are born. With this machines overcome the old paradigm of simply analyzing the world but are building it. We are operationalizing this via small-world topology. When these new degrees of freedom are born, they don't form a random mess; they snap into global coherence via small-world wiring. We found that this specific connectivity of balancing local motifs with long-range shortcuts is the architectural prerequisite for genuine world-building. Preprint with the full analysis to follow - stay tuned. On to 2026, excited to see what it brings!

What if the "flaws" in a system are actually the source code of its intelligence? In new work, we argue that invention behaves like a phase transition driven by exactly this dynamic: novelty is a thermodynamic response to constraint failure. When a system can no longer resolve its inputs within its current degrees of freedom, it is forced to expand its representational space - introducing new effective variables to restore feasibility. Thus innovation is not an accident; it is what a viable system does when the old model stops closing. This allowed us to extract the shared mechanics behind diverse phenomena: rote discovery, creativity, and the spark of insight. We show that symmetry breaking is the new optimization. We exhaustively mapped the topological landscape of matter and musical systems and found that the stabilizing vector is selective imperfection: a specific topological regime that rejects both sterile perfection and incoherent randomness. Strikingly, whether in the Hall-Petch strengthening of high-entropy alloys, function-driving geometry of proteins, or the cultural evolution of musical scales, the corridor for maximum coherence and adaptability is defined by a calculated defect. The physics of resilience and the mathematics of beauty appear to be running the same algorithm. This allows us to hack the vibrational stack by treating vibration as a universal isomorphic operator. We are liquefying the boundary between matter, sound, and intelligence, creating an epistemic inversion: listening becomes a form of seeing and creating. We are translating femtosecond molecular vibrations into audible spectra to design de novo proteins by creating direct lines of communication between Bach and deep-time evolution, and using the "glitch" logic of biology to build swarm AI. The distinction between a spider web’s stress tensor and a musical composition is collapsing; both are generative acts of world-building under constraint. For AI, the implication is straightforward: interpolation is not invention. True structural invention requires systems that can metabolize constraint failure - treating it as the exact point where new degrees of freedom are born. With this machines overcome the old paradigm of simply analyzing the world but are building it. We are operationalizing this via small-world topology. When these new degrees of freedom are born, they don't form a random mess; they snap into global coherence via small-world wiring. We found that this specific connectivity of balancing local motifs with long-range shortcuts is the architectural prerequisite for genuine world-building. Preprint with the full analysis to follow - stay tuned. On to 2026, excited to see what it brings!

Markus J. Buehler

66,016 Aufrufe • vor 5 Monaten