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> Natural data is "generated" from a constrained hierarchical / compositional function. > Deep networks learns that hidden structure from polynomially few examples and creatively generate exponentially many valid new ones. > The depth of the network is what's important to overcome the curse of dimensionality, and potentially invalidate... show more

Machine Learning Street Talk

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12,887 views • 20 days ago •via X (Twitter)

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Matt Johnson is a psychedelic researcher at Johns Hopkins. He was part of the infamous study that tried to find the "core of all religions", by administering psychedelics to leaders from different religious groups. Now, he comes clean about some of the suspicious and potentially rigged methodologies that happened behind the scenes:

Matt Johnson is a psychedelic researcher at Johns Hopkins. He was part of the infamous study that tried to find the "core of all religions", by administering psychedelics to leaders from different religious groups. Now, he comes clean about some of the suspicious and potentially rigged methodologies that happened behind the scenes:

Danny Jones

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Oldies but goldies: A. Barron, Universal Approximation Bounds for Superpositions of a Sigmoidal Function, 1993. Proves that 1 hidden layer perceptrons break the curse of dimensionality to approximate a class of smooth functions.

Oldies but goldies: A. Barron, Universal Approximation Bounds for Superpositions of a Sigmoidal Function, 1993. Proves that 1 hidden layer perceptrons break the curse of dimensionality to approximate a class of smooth functions.

Gabriel Peyré

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.Secretary Marco Rubio: "This is a group of leaders that are about action and the President of the United States is a president of action, of getting things done, and today is the beginning of that, of a new era and a new stage we think is so important as a model to the rest of the world of what is possible."

.Secretary Marco Rubio: "This is a group of leaders that are about action and the President of the United States is a president of action, of getting things done, and today is the beginning of that, of a new era and a new stage we think is so important as a model to the rest of the world of what is possible."

Department of State

91,747 views • 5 months ago

MILEI: THE SO CALL 'INSENSITIVE LIBERTARIANS' LIFTED 10 MILLION PEOPLE OUT OF POVERTY "The disgusting liberals, the politically correct people, the 'cool' leftists, the 'sensitive' ones, those who love the poor so much that all they do is multiply them; they all would tell us that we were going to generate an explosion of poverty. Poverty rate was at 57% (...) however, with a huge work from the Ministry of Human Capital (...) the poverty data today is 33%. (...) It means that the 'insensitive libertarians' lifted more than 10 million people out of poverty." Javier Milei

MILEI: THE SO CALL 'INSENSITIVE LIBERTARIANS' LIFTED 10 MILLION PEOPLE OUT OF POVERTY "The disgusting liberals, the politically correct people, the 'cool' leftists, the 'sensitive' ones, those who love the poor so much that all they do is multiply them; they all would tell us that we were going to generate an explosion of poverty. Poverty rate was at 57% (...) however, with a huge work from the Ministry of Human Capital (...) the poverty data today is 33%. (...) It means that the 'insensitive libertarians' lifted more than 10 million people out of poverty." Javier Milei

Argentina's Milei News 🇦🇷🤝🌎

69,966 views • 1 year ago

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

227,261 views • 1 year ago

'The attention should be shifted from what the price of the token is today, to what is the liquidity depth/structure over time.’ Tachi explains how the Arc Forge leverages the DLMM to enable projects to generate a sustainable source of revenue and keep building over time.

'The attention should be shifted from what the price of the token is today, to what is the liquidity depth/structure over time.’ Tachi explains how the Arc Forge leverages the DLMM to enable projects to generate a sustainable source of revenue and keep building over time.

Meteora

27,978 views • 1 year ago

The new Johns Hopkins University Bloomberg Center is designed to foster collaboration between policymakers, faculty, and students and brings Johns Hopkins University' world-class research and expertise to the center of Washington. It will serve as a connecting bridge between both ends of Pennsylvania Avenue, and I can't wait to see the ideas and initiatives that emerge from the leaders who will come together in this space.

The new Johns Hopkins University Bloomberg Center is designed to foster collaboration between policymakers, faculty, and students and brings Johns Hopkins University' world-class research and expertise to the center of Washington. It will serve as a connecting bridge between both ends of Pennsylvania Avenue, and I can't wait to see the ideas and initiatives that emerge from the leaders who will come together in this space.

Mike Bloomberg

54,143 views • 2 years ago

Elon Musk: 𝕏 is crucial for democracy and freedom in the U.S. and worldwide. “Twitter is important to the function of democracy, it's important to the function of the United States as a free country and many other countries, and to actually to help freedom in the world more broadly than the US. I think civilizational risk is decreased the more we can increase the trust of Twitter as a public platform.” From: TED Interview, April 14, 2022

Elon Musk: 𝕏 is crucial for democracy and freedom in the U.S. and worldwide. “Twitter is important to the function of democracy, it's important to the function of the United States as a free country and many other countries, and to actually to help freedom in the world more broadly than the US. I think civilizational risk is decreased the more we can increase the trust of Twitter as a public platform.” From: TED Interview, April 14, 2022

ELON CLIPS

15,009 views • 6 months ago

Ever wondered what neural networks are and how they work? Systems like ChatGPT use neural networks to work as well as they do. Neural networks are composed of "layers" of neurons, layers with different functions; connections between layers called "weights"; and mathematical functions called "activation functions". If you’re interested in learning about these systems, check the comments. Ultimately, the neural network structure of the model serves to visually demonstrate that it is, in fact, a complex mathematical equation. When companies release the model's weights, they are releasing a key component needed to run the model's complete equation. Without the weights, the equation is incomplete. For the math-minded: the weights of a model are the learned numbers (they are variables during training) that are then used as constants in the mathematical functions that make up the model. Neural networks are ultimately just one big, hyper-complex mathematical function, and when a model is trained, it learns the constants associated with the high-dimensional input.

Ever wondered what neural networks are and how they work? Systems like ChatGPT use neural networks to work as well as they do. Neural networks are composed of "layers" of neurons, layers with different functions; connections between layers called "weights"; and mathematical functions called "activation functions". If you’re interested in learning about these systems, check the comments. Ultimately, the neural network structure of the model serves to visually demonstrate that it is, in fact, a complex mathematical equation. When companies release the model's weights, they are releasing a key component needed to run the model's complete equation. Without the weights, the equation is incomplete. For the math-minded: the weights of a model are the learned numbers (they are variables during training) that are then used as constants in the mathematical functions that make up the model. Neural networks are ultimately just one big, hyper-complex mathematical function, and when a model is trained, it learns the constants associated with the high-dimensional input.

Harper Carroll

29,098 views • 8 months ago

In collaboration with Intel, our Depth Fusion showcases the power of our LDM3D diffusion model in generating 360° views from text prompts provided by the user. The LDM3D diffusion model generates a 2D RGB image and its corresponding relative depth map providing a complete RGBD representation corresponding to the text prompt. The LDM 3D model is a specialized version of the stable diffusion V 1.4 model that has been modified to fit both image and depth map data.The model was then fine tuned on a subset of the Laion400M data set - large scale image caption data set. The depth maps used to fine tune our model were generated by the DPTBeiT large 512 depth estimation model that provides highly accurate relative depth estimates for each pixel. We take the generated 2D RGB image and depth map and use them to compute a 360° projection using touchdesigner. Touchdesigner is a versatile platform that allows for the creation of immersive and interactive multimedia experiences. Our application harnesses the power of touchdesigner to bring the generated 360° views to life, providing users with a unique and engaging way to experience their text prompts, whether it’s a description of a tranquil forest, a noisy cityscape or a futuristic sci fi world. Our depth fusion can bring these concepts to life in a vivid and immersive detail. - Scottie Fox, VP Engineering Blockade Labs ScottieFox #AI #VR #3D #gamedev #stablediffusion

In collaboration with Intel, our Depth Fusion showcases the power of our LDM3D diffusion model in generating 360° views from text prompts provided by the user. The LDM3D diffusion model generates a 2D RGB image and its corresponding relative depth map providing a complete RGBD representation corresponding to the text prompt. The LDM 3D model is a specialized version of the stable diffusion V 1.4 model that has been modified to fit both image and depth map data.The model was then fine tuned on a subset of the Laion400M data set - large scale image caption data set. The depth maps used to fine tune our model were generated by the DPTBeiT large 512 depth estimation model that provides highly accurate relative depth estimates for each pixel. We take the generated 2D RGB image and depth map and use them to compute a 360° projection using touchdesigner. Touchdesigner is a versatile platform that allows for the creation of immersive and interactive multimedia experiences. Our application harnesses the power of touchdesigner to bring the generated 360° views to life, providing users with a unique and engaging way to experience their text prompts, whether it’s a description of a tranquil forest, a noisy cityscape or a futuristic sci fi world. Our depth fusion can bring these concepts to life in a vivid and immersive detail. - Scottie Fox, VP Engineering Blockade Labs ScottieFox #AI #VR #3D #gamedev #stablediffusion

Blockade Labs

11,439 views • 3 years ago

From the floor plans to the art on its walls, every detail of the new Johns Hopkins University Bloomberg Center was chosen to foster the creativity, free open exchange of ideas, and interdisciplinary collaboration that we need in our future leaders. Take a look inside to see how:

From the floor plans to the art on its walls, every detail of the new Johns Hopkins University Bloomberg Center was chosen to foster the creativity, free open exchange of ideas, and interdisciplinary collaboration that we need in our future leaders. Take a look inside to see how:

Mike Bloomberg

33,176 views • 2 years ago

I just love this elaborate language and grand gestures to convey ideas, sometimes to the point of being verbose is AMaZing! This in a nutshell tells you the hierarchical structure of existence. Natural selection is no joke.

I just love this elaborate language and grand gestures to convey ideas, sometimes to the point of being verbose is AMaZing! This in a nutshell tells you the hierarchical structure of existence. Natural selection is no joke.

Dr STAN

29,095 views • 1 year ago

🧠 A Beautiful loop: An active inference theory of consciousness. Many psychological, philosophical and scientific approaches have posited that loops, recursion, and reflective broadcasting are somehow central to the emergence of consciousness in hierarchical complex apparatus such as the nervous system. The geometrodynamics of the experiential reality model itself continuously looping and conforming its own existence. The capacity to reiterate the cognitive process in a variety of states like attention, metacognition, sleep, lucidity, meditation and psychedelic is the cornerstone for the emergence of consciousness. In this scientific study are proposed three conditions necessary to the functionality of self awareness. 1st) Generative World Model Epistemic Field. This model represents the brain's internal representation of the world, which is continuously updated throughout sensory inputs and prior knowledge. 2nd) Inferential Competition Determining Conscious Content. The inferential competition is necessary for determining what becomes conscious and why it’s coherent. This competition arises from the brain's attempt to resolve uncertainty and ambiguity in its internal models. 3d) Epistemic Depth Recursive and Widespread Sharing. The epistemic depth refers to the recursive and widespread sharing of the epistemic field throughout the hierarchical structure, and it’s a fundamental component for consciousness. 🔗

🧠 A Beautiful loop: An active inference theory of consciousness. Many psychological, philosophical and scientific approaches have posited that loops, recursion, and reflective broadcasting are somehow central to the emergence of consciousness in hierarchical complex apparatus such as the nervous system. The geometrodynamics of the experiential reality model itself continuously looping and conforming its own existence. The capacity to reiterate the cognitive process in a variety of states like attention, metacognition, sleep, lucidity, meditation and psychedelic is the cornerstone for the emergence of consciousness. In this scientific study are proposed three conditions necessary to the functionality of self awareness. 1st) Generative World Model Epistemic Field. This model represents the brain's internal representation of the world, which is continuously updated throughout sensory inputs and prior knowledge. 2nd) Inferential Competition Determining Conscious Content. The inferential competition is necessary for determining what becomes conscious and why it’s coherent. This competition arises from the brain's attempt to resolve uncertainty and ambiguity in its internal models. 3d) Epistemic Depth Recursive and Widespread Sharing. The epistemic depth refers to the recursive and widespread sharing of the epistemic field throughout the hierarchical structure, and it’s a fundamental component for consciousness. 🔗

Maurizio Iβλἄ

18,220 views • 1 year ago

From the chronicles of the world rulers: "Event 201" was a drill conducted by the Johns Hopkins Institute, which is a front for the Bill Gates Foundation. They prepared an epidemic drill in 2019 ahead of 2020.

From the chronicles of the world rulers: "Event 201" was a drill conducted by the Johns Hopkins Institute, which is a front for the Bill Gates Foundation. They prepared an epidemic drill in 2019 ahead of 2020.

illuminatibot

22,615 views • 1 year ago

Elon Musk on why 𝕏 is crucial for democracy and freedom: “It’s important to the function of democracy. It’s important to the function of the United States as a free country and many other countries, and to help freedom in the world more broadly than the US I think that civilizational risk is decreased the more we can increase the trust of 𝕏 as a public platform”

Elon Musk on why 𝕏 is crucial for democracy and freedom: “It’s important to the function of democracy. It’s important to the function of the United States as a free country and many other countries, and to help freedom in the world more broadly than the US I think that civilizational risk is decreased the more we can increase the trust of 𝕏 as a public platform”

X Freeze

19,560 views • 3 months ago

The Brazilian Amazon is still burning at an alarming rate. We must switch from an economic model that is based on the destruction of the forest and the exploitation of natural resources to a system that values the forest standing.

The Brazilian Amazon is still burning at an alarming rate. We must switch from an economic model that is based on the destruction of the forest and the exploitation of natural resources to a system that values the forest standing.

Greenpeace International

394,971 views • 2 years ago

Introducing ESM Cambrian. Unsupervised learning can invert biology at scale to reveal the hidden structure of the natural world. We’ve scaled up compute and data to train a new generation of protein language models. ESM C defines a new state of the art for protein representation learning.

Introducing ESM Cambrian. Unsupervised learning can invert biology at scale to reveal the hidden structure of the natural world. We’ve scaled up compute and data to train a new generation of protein language models. ESM C defines a new state of the art for protein representation learning.

Alex Rives

207,033 views • 1 year ago

He helped more than 50000 people from 1530 natural villages move from deep mountains to plains, and lifted them out of poverty and became prosperous. The sustainable development poverty alleviation model in Wuyi, Zhejiang has provided experience for many countries and regions.

He helped more than 50000 people from 1530 natural villages move from deep mountains to plains, and lifted them out of poverty and became prosperous. The sustainable development poverty alleviation model in Wuyi, Zhejiang has provided experience for many countries and regions.

GCB

102,405 views • 1 year ago

Physicist and philosopher Jenann Ismael says when a person dies, it's the collapse of a model trained on unrepeatable data. A lifetime of inputs (books, sensations, thoughts) erased. The signal stops. The information is gone. The loss is absolute.

Physicist and philosopher Jenann Ismael says when a person dies, it's the collapse of a model trained on unrepeatable data. A lifetime of inputs (books, sensations, thoughts) erased. The signal stops. The information is gone. The loss is absolute.

vitrupo

198,542 views • 1 year ago

🚨 Sec. Marco Rubio goes straight for the throat. Not a “Board of Peace.” A Board of Action. Shot at the global leadership class that lives off speeches, statements, and very serious letters that achieve absolutely nothing. "This is a group of leaders that are about action. And the president of the United States is a president of action, of getting things done. And today is the beginning of that, of a new era and a new stage that we think is so important, as a model to the rest of the world of what is possible." Source: Margo Martin

🚨 Sec. Marco Rubio goes straight for the throat. Not a “Board of Peace.” A Board of Action. Shot at the global leadership class that lives off speeches, statements, and very serious letters that achieve absolutely nothing. "This is a group of leaders that are about action. And the president of the United States is a president of action, of getting things done. And today is the beginning of that, of a new era and a new stage that we think is so important, as a model to the rest of the world of what is possible." Source: Margo Martin

Mario Nawfal

186,818 views • 5 months ago