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I will attempt to explain the basic idea of how diffusion models work! ... in only 15 tweets! 😲 Let's get started ↓
Diffusion models are *generative* models, which simply means given some example datapoints (your training dataset), generate more like it. For example, given cute dog images, generate more cute dog images! (1/15)
There are many generative models. GANs (like the ones powering http://thispersondoesnotexist.com ) are image generative models, GPT-3 is also a generative model, but for text. So just keep in mind that while we'll talk about images, the general principles can apply to other domains. (2/15)
Okay, an important idea of generative modeling is the idea of a data distribution. This simply describes how likely some datapoint is to be observed in reality. It's represented in math as p(x) (3/15)
Therefore, images that are likely to be observed have high p(x) (x represents the images) and images that are not common/weird/has artifacts/messed up have low p(x). (4/15)
Now if you want to generate new datapoints, you could either: 1. approximately model p(x) and sample from it - VAEs do this 2. model an approximate sampling function of p(x) but not p(x) itself - GANs do this Diffusion models propose an alternative approach! (5/15)
What if you knew how changing your datapoint x changes its probability of being observed p(x)? This rate of change is the derivative/gradient of p(x), written as ∇p(x). If you knew ∇p(x) then you could start at a random point & *iteratively* update it following ∇p(x) (6/15)
The question is how can we determine these gradients? We don't know p(x) so how could we get the ∇p(x)? We model it by training a neural network! This neural network will estimate ∇p(x) which we can use in an iterative sampling scheme. (7/15)
But how do we train a neural network to estimate ∇p(x)? The following insight helps: if we add random noise to a datapoint, it results in a datapoint with lower probability, because images with random noise are unlikely to be observed (8/15)
Then you can train a model to denoise noisy images by predicting the noise you need to remove. By subtracting out the predicted noise you're making the image a more likely datapoint, i.e. increasing p(x). You can imagine it's closely related to the rate of change ∇p(x) (9/15)
It can be proven mathematically that "noise prediction" is equivalent to predicting ∇ log p(x), termed as the score in statistics literature. Also, mathematically it's simpler to use the score instead of ∇p(x) for iterative sampling (10/15)
However if you look carefully above you might notice that this denoising approach gives the score for the noisy distribution & not the actual distribution! The idea is instead to denoise at multiple noise levels & as you iteratively sample the noise level is decreasing. (11/15)
One minor detail: the model is given the noise level as an input & sampling is carefully designed so that the noise level is known. The noise level tells the model approximately how much noise it needs to remove but the model needs to figure out the exact noise to remove. (12/15)
Image diffusion models are usually neural networks with the "U-net" architecture. It is a common arch. when going from one image to another, in this case iteratively going from an image to noise that we subtract out, effectively following ∇ log p(x) for our sampling. (13/15)
Here is an example of the sampling procedure. You can see how it starts out with random noise but the denoiser neural network iteratively subtracts out noise (which we said is equivalent to increasing p(x)) until we get a nice generated image!
And that's the basic idea of diffusion models! 1. Training a denoiser neural network for different levels of noise added to the images 2. Since the denoising is equivalent to learning the score, we take a random datapoint and iteratively update it with the learned score (15/15)
If you want to explore this further, check out the @fastdotai lectures where Jeremy Howard explores this in a little more detail than a Twitter thread 😅 https://www.fast.ai/posts/part2-2022-preview.html
Also, some of the diagrams here were taken by this awesome blog post by @YSongStanford which talks about diffusion models (sometimes also called score-based generative modeling, for reasons I hope you can see 😉) https://yang-song.net/blog/2021/score/
Next time, I'll attempt to explain some of the actual mathematical details of Denoising Diffusion Probabilistic Models (DDPM), the seminal paper published in 2020, as well as how these models are implemented in code!
If you found this thread useful, please like and retweet. Also consider following me to stay tuned (@iScienceLuvr)🙂

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1/ How to turn your friends and family on to crypto, NFTs, and web3—without overwhelming them. 🧵

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1 year ago

Apply now The future of school is here. A live, accredited, virtual high school designed to accelerate your student toward their wildest dreams. Learn More Students thrive at Sora “One of the things that gives Read more…

Home - Sora SchoolsApply now The future of school is here. A live, accredited, virtual high school designed to accelerate your student toward their wildest dreams. Learn More Students thrive at Sora “One of the things that gives Read more… soraschools.com

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Go from ideation to launching a side-project that can make you financially independent with structured guidance and networking.

I spent 126 hrs curating these list

For the past 7 months & 27 days , I have been bookmarking some of the best threads of 2021 so far.

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MEGA THREAD 🧵 ↓

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For the past 7 months & 27 days , I have been bookmarking some of the best threads of 2021 so far.

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I’m currently learning how to program on @solana, and have found it much more difficult than learning to program on Ethereum.

Luckily, there are lots of great resources out there. Here are the ones I’ve found most helpful! 👇

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pencilflip.sol 🍄

I’m currently learning how to program on @solana, and have found it much more difficult than learning to program on Ethereum.

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Simple File Upload is the easiest way to allow your users to add files to your site! Files are stored securely in cloud storage and available anytime.

Getting an MBA didn’t make me a better investor

Learning from other investors DID

Here are 6 Twitter threads that will teach you more about investing than a college degree:

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How India created a digital blueprint for the economies of the future

Is your team:
– Data Agnostic
– Thesis Driven
– Metrics Driven
– Data Informed

None of these 4 types will guarantee success in every situation. And a team’s type often changes over time.

But the smartest teams are very intentional about where they want to be at any given time.

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Is your team:
– Data Agnostic
– Thesis Driven
– Metrics Driven
– Data Informed

None of these 4 types will guarantee success in every situation. And a team’s type often changes over time.

But the smartest teams are very intentional about where they want to be at any given time.

A common trend I’m seeing.

Everyone is quitting their 9 to 5 job in web 2 so that they can work 24/7 in web 3.

This is a very telling sign of things to come…

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I’ve done a 2-year MBA from the top business school in India. But I’ve learnt 10x about marketing while growing my startup to $3 million+ revenue in 4 years.

I regularly share my learnings & experiences in marketing my startup.

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I’ve done a 2-year MBA from the top business school in India. But I’ve learnt 10x about marketing while growing my startup to $3 million+ revenue in 4 years.

I regularly share my learnings & experiences in marketing my startup.

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1 year ago

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News, tips, and tricks from the team at Fly

1/ Crypto Wallet 101. How to keep your assets clean, secure, and ready for tax season. Plus, track all your NFTs and coins in one place. 🧵

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1 year ago

Machine learning theory made easy.So, you want to master machine learning. Even though you have experience in the field, sometimes you still feel that something is missing. A look behind the curtain.Have you ever felt the learning curve to be so sharp that it was too difficult even to start? The theory was so dry and seemingly irrelevant that you were unable to go beyond the basics?If so, I am building something for you. I am working to create the best resource to study the mathematics of machine learning out there.Join the early access and be a part of the journey! Math explained, as simple as possible.Every concept is explained step by step, from elementary to advanced. No fancy tricks and mathematical magic. Intuition and motivation first, technical explanations second. Open up the black boxes.Machine learning is full of mysterious black boxes. Looking inside them allows you to be a master of your field and never be in the dark when things go wrong. Be a part of the process.This book is being written in public. With early access, you’ll get each chapter as I finish, with a personal hotline to me. Is something not appropriately explained? Is a concept not motivated with applications? Let me know, and I’ll get right on it!Preview chapter!If you would like to see a sample chapter, I have prepared one for you! This one is about the Principal Component Analysis:https://mybinder.org/v2/gh/cosmic-cortex/mathematics-of-machine-learning-preview/main?filepath=PCA.ipynbWhat you’ll get?• The latest version of the book, in an interactive Jupyter Book format + pdf.• Exclusive access to a new sub-chapter each week, as I finish them. (See my planned roadmap below.)• A personal hotline to me, where you can share your feedback to me, so I can build the best learning resource for you.What I’ll get?Writing a book is a long and difficult project. I want to do this the right way, so I decided to dedicate 100% of my time and energy to this. However, I can’t do this without your support. I created the Early Access Program for those wishing to join me in this journey. With you signing up for the Early Access Program, I’ll get• your financial support so I can work on this project full time,• and your continual feedback, which is essential for me to write the best book on the subject for you.Refund policyIf you find that the Early Access Program is not for you, no worries! Let me know within 30 days of your purchase, and I’ll refund you immediately – no questions asked.Preliminary table of contentsPart 1. Linear algebra• Vector spaces (September 1st)• Normed spaces (September 8th)• Inner product spaces (September 15th)• Linear transformations (September 22th)• How linear transformations affect volume and magnitude (September 29th)• Linear equations (October 6th)• Eigenvalues and eigenvectors (October 13th)• Special transformations (October 20th)Part 2. Functions• Sequences (October 27th)• Limits and continuity (November 3rd)• Differentiation (November 10th)• Minima and maxima (November 17th)• The basics of gradient descent (November 24th)• Integration in theory (December 1st)• Integration in practice (December 8th)Part 3. Multivariable calculus• Partial derivatives and gradients• Minima and maxima in multiple dimensions• Gradient descent in its full form• Constrained optimization• Integration in multiple dimensionsPart 4. Probability theory• The mathematical concept of probability• Distributions and densities• Random variables• Conditional probability• Expected value• Information theory and entropy• Multidimensional distributionsPart 5. Statistics• Fundamentals of parameter estimation• Maximum likelihood estimation• The Bayesian viewpoint of statistics• Bias and variance• Measuring predictive performance of statistical models• Multivariate methodsPart 6. Machine learning• The taxonomy of machine learning tasks• Linear and logistic regression• Fundamentals of clustering• Principal Component Analysis• Most common loss functions and what’s behind them• Regularization of machine learning models• t-distributed stochastic neighbor embeddingPart 7. Neural networks• Logistic regression, revisited• Activation functions• Computational graphs• Backpropagation• Loss functions, from a neural network perspective• Weight initializationPart 8. Advanced optimization• Stochastic gradient descent• Adaptive methods• Accelerated schemes• The Lookahead optimizer• RangerPart 9. Convolutional networks• The convolutional layer, in-depth• Dropout and BatchNorm• Fundamental tasks of computer vision• Alexnet and Resnet• Autoencoders• Generative Adversarial NetworksPlanned roadmap2021 Q3 – 2022 Q1: Core math chapters• Calculus and multivariate calculus• Linear algebra• Probability theory• Mathematical statistics2022 Q1 – 2022 Q2: Machine learning chapters• Classical machine learning• Neural networks and convolutional networks• Advanced topics2022 Q3 – 2022 Q4: Editing and finishing touches• Finalizing and prettifying figures• Editing the text and improving the style

Mathematics of Machine Learning early accessMachine learning theory made easy.So, you want to master machine learning. Even though you have experience in the field, sometimes you still feel that something is missing. A look behind the curtain.Have you ever felt the learning curve to be so sharp that it was too difficult even to start? The theory was so dry and seemingly irrelevant that you were unable to go beyond the basics?If so, I am building something for you. I am working to create the best resource to study the mathematics of machine learning out there.Join the early access and be a part of the journey! Math explained, as simple as possible.Every concept is explained step by step, from elementary to advanced. No fancy tricks and mathematical magic. Intuition and motivation first, technical explanations second. Open up the black boxes.Machine learning is full of mysterious black boxes. Looking inside them allows you to be a master of your field and never be in the dark when things go wrong. Be a part of the process.This book is being written in public. With early access, you’ll get each chapter as I finish, with a personal hotline to me. Is something not appropriately explained? Is a concept not motivated with applications? Let me know, and I’ll get right on it!Preview chapter!If you would like to see a sample chapter, I have prepared one for you! This one is about the Principal Component Analysis:https://mybinder.org/v2/gh/cosmic-cortex/mathematics-of-machine-learning-preview/main?filepath=PCA.ipynbWhat you'll get?• The latest version of the book, in an interactive Jupyter Book format + pdf.• Exclusive access to a new sub-chapter each week, as I finish them. (See my planned roadmap below.)• A personal hotline to me, where you can share your feedback to me, so I can build the best learning resource for you.What I'll get?Writing a book is a long and difficult project. I want to do this the right way, so I decided to dedicate 100% of my time and energy to this. However, I can't do this without your support. I created the Early Access Program for those wishing to join me in this journey. With you signing up for the Early Access Program, I'll get• your financial support so I can work on this project full time,• and your continual feedback, which is essential for me to write the best book on the subject for you.Refund policyIf you find that the Early Access Program is not for you, no worries! Let me know within 30 days of your purchase, and I'll refund you immediately - no questions asked.Preliminary table of contentsPart 1. Linear algebra• Vector spaces (September 1st)• Normed spaces (September 8th)• Inner product spaces (September 15th)• Linear transformations (September 22th)• How linear transformations affect volume and magnitude (September 29th)• Linear equations (October 6th)• Eigenvalues and eigenvectors (October 13th)• Special transformations (October 20th)Part 2. Functions• Sequences (October 27th)• Limits and continuity (November 3rd)• Differentiation (November 10th)• Minima and maxima (November 17th)• The basics of gradient descent (November 24th)• Integration in theory (December 1st)• Integration in practice (December 8th)Part 3. Multivariable calculus• Partial derivatives and gradients• Minima and maxima in multiple dimensions• Gradient descent in its full form• Constrained optimization• Integration in multiple dimensionsPart 4. Probability theory• The mathematical concept of probability• Distributions and densities• Random variables• Conditional probability• Expected value• Information theory and entropy• Multidimensional distributionsPart 5. Statistics• Fundamentals of parameter estimation• Maximum likelihood estimation• The Bayesian viewpoint of statistics• Bias and variance• Measuring predictive performance of statistical models• Multivariate methodsPart 6. Machine learning• The taxonomy of machine learning tasks• Linear and logistic regression• Fundamentals of clustering• Principal Component Analysis• Most common loss functions and what’s behind them• Regularization of machine learning models• t-distributed stochastic neighbor embeddingPart 7. Neural networks• Logistic regression, revisited• Activation functions• Computational graphs• Backpropagation• Loss functions, from a neural network perspective• Weight initializationPart 8. Advanced optimization• Stochastic gradient descent• Adaptive methods• Accelerated schemes• The Lookahead optimizer• RangerPart 9. Convolutional networks• The convolutional layer, in-depth• Dropout and BatchNorm• Fundamental tasks of computer vision• Alexnet and Resnet• Autoencoders• Generative Adversarial NetworksPlanned roadmap2021 Q3 - 2022 Q1: Core math chapters• Calculus and multivariate calculus• Linear algebra• Probability theory• Mathematical statistics2022 Q1 - 2022 Q2: Machine learning chapters• Classical machine learning• Neural networks and convolutional networks• Advanced topics2022 Q3 - 2022 Q4: Editing and finishing touches• Finalizing and prettifying figures• Editing the text and improving the style tivadar.gumroad.com

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Machine learning theory made easy.So, you want to master machine learning. Even though you have experience in the field, sometimes you still feel that something is missing. A look behind the curtain.Have you ever felt the learning curve to be so sharp that it was too difficult even to start? The theory was so dry and seemingly irrelevant that you were unable to go beyond the basics?If so, I am building something for you. I am working to create the best resource to study the mathematics of machine learning out there.Join the early access and be a part of the journey! Math explained, as simple as possible.Every concept is explained step by step, from elementary to advanced. No fancy tricks and mathematical magic. Intuition and motivation first, technical explanations second. Open up the black boxes.Machine learning is full of mysterious black boxes. Looking inside them allows you to be a master of your field and never be in the dark when things go wrong. Be a part of the process.This book is being written in public. With early access, you’ll get each chapter as I finish, with a personal hotline to me. Is something not appropriately explained? Is a concept not motivated with applications? Let me know, and I’ll get right on it!Preview chapter!If you would like to see a sample chapter, I have prepared one for you! This one is about the Principal Component Analysis:https://mybinder.org/v2/gh/cosmic-cortex/mathematics-of-machine-learning-preview/main?filepath=PCA.ipynbWhat you’ll get?• The latest version of the book, in an interactive Jupyter Book format + pdf.• Exclusive access to a new sub-chapter each week, as I finish them. (See my planned roadmap below.)• A personal hotline to me, where you can share your feedback to me, so I can build the best learning resource for you.What I’ll get?Writing a book is a long and difficult project. I want to do this the right way, so I decided to dedicate 100% of my time and energy to this. However, I can’t do this without your support. I created the Early Access Program for those wishing to join me in this journey. With you signing up for the Early Access Program, I’ll get• your financial support so I can work on this project full time,• and your continual feedback, which is essential for me to write the best book on the subject for you.Refund policyIf you find that the Early Access Program is not for you, no worries! Let me know within 30 days of your purchase, and I’ll refund you immediately – no questions asked.Preliminary table of contentsPart 1. Linear algebra• Vector spaces (September 1st)• Normed spaces (September 8th)• Inner product spaces (September 15th)• Linear transformations (September 22th)• How linear transformations affect volume and magnitude (September 29th)• Linear equations (October 6th)• Eigenvalues and eigenvectors (October 13th)• Special transformations (October 20th)Part 2. Functions• Sequences (October 27th)• Limits and continuity (November 3rd)• Differentiation (November 10th)• Minima and maxima (November 17th)• The basics of gradient descent (November 24th)• Integration in theory (December 1st)• Integration in practice (December 8th)Part 3. Multivariable calculus• Partial derivatives and gradients• Minima and maxima in multiple dimensions• Gradient descent in its full form• Constrained optimization• Integration in multiple dimensionsPart 4. Probability theory• The mathematical concept of probability• Distributions and densities• Random variables• Conditional probability• Expected value• Information theory and entropy• Multidimensional distributionsPart 5. Statistics• Fundamentals of parameter estimation• Maximum likelihood estimation• The Bayesian viewpoint of statistics• Bias and variance• Measuring predictive performance of statistical models• Multivariate methodsPart 6. Machine learning• The taxonomy of machine learning tasks• Linear and logistic regression• Fundamentals of clustering• Principal Component Analysis• Most common loss functions and what’s behind them• Regularization of machine learning models• t-distributed stochastic neighbor embeddingPart 7. Neural networks• Logistic regression, revisited• Activation functions• Computational graphs• Backpropagation• Loss functions, from a neural network perspective• Weight initializationPart 8. Advanced optimization• Stochastic gradient descent• Adaptive methods• Accelerated schemes• The Lookahead optimizer• RangerPart 9. Convolutional networks• The convolutional layer, in-depth• Dropout and BatchNorm• Fundamental tasks of computer vision• Alexnet and Resnet• Autoencoders• Generative Adversarial NetworksPlanned roadmap2021 Q3 – 2022 Q1: Core math chapters• Calculus and multivariate calculus• Linear algebra• Probability theory• Mathematical statistics2022 Q1 – 2022 Q2: Machine learning chapters• Classical machine learning• Neural networks and convolutional networks• Advanced topics2022 Q3 – 2022 Q4: Editing and finishing touches• Finalizing and prettifying figures• Editing the text and improving the style

BUYaskafiftivadarMachine learning theory made easy.So, you want to master machine learning. Even though you have experience in the field, sometimes you still feel that something is missing. A look behind the curtain.Have you ever felt the learning curve to be so sharp that it was too difficult even to start? The theory was so dry and seemingly irrelevant that you were unable to go beyond the basics?If so, I am building something for you. I am working to create the best resource to study the mathematics of machine learning out there.Join the early access and be a part of the journey! Math explained, as simple as possible.Every concept is explained step by step, from elementary to advanced. No fancy tricks and mathematical magic. Intuition and motivation first, technical explanations second. Open up the black boxes.Machine learning is full of mysterious black boxes. Looking inside them allows you to be a master of your field and never be in the dark when things go wrong. Be a part of the process.This book is being written in public. With early access, you’ll get each chapter as I finish, with a personal hotline to me. Is something not appropriately explained? Is a concept not motivated with applications? Let me know, and I’ll get right on it!Preview chapter!If you would like to see a sample chapter, I have prepared one for you! This one is about the Principal Component Analysis:https://mybinder.org/v2/gh/cosmic-cortex/mathematics-of-machine-learning-preview/main?filepath=PCA.ipynbWhat you'll get?• The latest version of the book, in an interactive Jupyter Book format + pdf.• Exclusive access to a new sub-chapter each week, as I finish them. (See my planned roadmap below.)• A personal hotline to me, where you can share your feedback to me, so I can build the best learning resource for you.What I'll get?Writing a book is a long and difficult project. I want to do this the right way, so I decided to dedicate 100% of my time and energy to this. However, I can't do this without your support. I created the Early Access Program for those wishing to join me in this journey. With you signing up for the Early Access Program, I'll get• your financial support so I can work on this project full time,• and your continual feedback, which is essential for me to write the best book on the subject for you.Refund policyIf you find that the Early Access Program is not for you, no worries! Let me know within 30 days of your purchase, and I'll refund you immediately - no questions asked.Preliminary table of contentsPart 1. Linear algebra• Vector spaces (September 1st)• Normed spaces (September 8th)• Inner product spaces (September 15th)• Linear transformations (September 22th)• How linear transformations affect volume and magnitude (September 29th)• Linear equations (October 6th)• Eigenvalues and eigenvectors (October 13th)• Special transformations (October 20th)Part 2. Functions• Sequences (October 27th)• Limits and continuity (November 3rd)• Differentiation (November 10th)• Minima and maxima (November 17th)• The basics of gradient descent (November 24th)• Integration in theory (December 1st)• Integration in practice (December 8th)Part 3. Multivariable calculus• Partial derivatives and gradients• Minima and maxima in multiple dimensions• Gradient descent in its full form• Constrained optimization• Integration in multiple dimensionsPart 4. Probability theory• The mathematical concept of probability• Distributions and densities• Random variables• Conditional probability• Expected value• Information theory and entropy• Multidimensional distributionsPart 5. Statistics• Fundamentals of parameter estimation• Maximum likelihood estimation• The Bayesian viewpoint of statistics• Bias and variance• Measuring predictive performance of statistical models• Multivariate methodsPart 6. Machine learning• The taxonomy of machine learning tasks• Linear and logistic regression• Fundamentals of clustering• Principal Component Analysis• Most common loss functions and what’s behind them• Regularization of machine learning models• t-distributed stochastic neighbor embeddingPart 7. Neural networks• Logistic regression, revisited• Activation functions• Computational graphs• Backpropagation• Loss functions, from a neural network perspective• Weight initializationPart 8. Advanced optimization• Stochastic gradient descent• Adaptive methods• Accelerated schemes• The Lookahead optimizer• RangerPart 9. Convolutional networks• The convolutional layer, in-depth• Dropout and BatchNorm• Fundamental tasks of computer vision• Alexnet and Resnet• Autoencoders• Generative Adversarial NetworksPlanned roadmap2021 Q3 - 2022 Q1: Core math chapters• Calculus and multivariate calculus• Linear algebra• Probability theory• Mathematical statistics2022 Q1 - 2022 Q2: Machine learning chapters• Classical machine learning• Neural networks and convolutional networks• Advanced topics2022 Q3 - 2022 Q4: Editing and finishing touches• Finalizing and prettifying figures• Editing the text and improving the style
1 year ago

Add and find jobs at companies founded and led by underestimated founders, funders, and friends.

LaaS JobsAdd and find jobs at companies founded and led by underestimated founders, funders, and friends. pallet.xyz

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Add and find jobs at companies founded and led by underestimated founders, funders, and friends.

1 year ago

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Slack-integrated issue tracking for your entire team

17 Ways to Maximize Your Wealth

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Fiona | The Millennial Money Woman

17 Ways to Maximize Your Wealth

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Why Web 3 matters 🧵

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Why Web 3 matters 🧵

1 year ago

No feel-good “self-improvement” guide, no BS, just a proven, easy to follow system to achieve total independence.Develop TOTAL CONTROL over your brain with this PROVEN 21 Days Program And Let Me Know How Quickly Your Life Turned Around With Only 5 Tasks a Day.If you are acting needy, with a lack of confidence…A lack of social skills, of discipline… If you are facing rejection on a daily basis… it’s NOT your fault – you were brainwashed.If you take a walk in the self-help section of a library, and pick up some of the books you will soon notice a very common theme amongst them – they are all preaching you need to learn yourself more- “You are depressed because you don’t know yourself enough”.This is where the first cycle of hell begins.The real reason why you are facing rejection and you are not an unstoppable, extremely self-confident person is a lack of self-awareness and discipline.This program was designed to give you the most actionable and straightforward process to develop an unmatchable self-confidence and complete self-sufficiency in life.It’s a 21-day program that aims to rewire you into the person you want to become – a DIY process, but you can always reach out to me for guidance.IF you commit to following this program, you will achieve PEAK confidence and self-sufficiency in 21 days.You get 21 instruction files (in both audio and pdf), Templates for journaling and a database of affirmations to use. You can see what others who bought and tested the Program have to say:You don’t need to be obsessed with discipline to go through the entire program. You just need to commit to the daily tasks.This mentality that hinders your ability to finally do what you want with your life comes from reading ‘hyped’ self-help books that you think helps you.But in reality, it just gives you a kick of dopamine and motivation leaving you emptier than you were before.You, the one reading this, have a chance to cut through that ‘self-improvement’ noise and bullshit and actually learn the real ways of developing confidence.I know it because I rebuilt my self-confidence from the ground up, and I managed to help over 300+ people do the same with this product.I’m an ex-drug addict who lost then rebuilt my self-confidence from scratch. I have been giving specific advice on Twitter and Telegram on how to enhance one’s self-confidence and get rid of fears for almost a year, amassing over 35k followers.My confidence comes from seeing how easily my clients achieve self-sufficiency and get real tangible results:If you wish to have similar results, click the “I want this!” button and start the program now, because the price goes up every month, so this is the second-best moment to start the 21 Days Program.The best moment was when you first opened this page.The alternative is going to CBT which costs $200 per session.FAQ1. How does it work?The program is composed of 22 PDFs and as many audio files containing daily instructions plus useful templates for journaling and organization.For every one of 21 days, you have a separate PDF with instructions. This guarantees the best results & creates in you (unlike in most programs) a lasting change.2. Can I stop in between?You can do whatever you want. Just know that it’s 21 days for a reason – that’s how much time takes humans to develop a new habit.3. How does it work?It’s customizable – so you can make it fit your specific struggles, character traits and aspirations.It’s divided into 3 stages (1 week each) – so you get to the bottom of your problems instead of just scraping the surface.It’s giving you what no other program does – a state of complete self-sufficiency, understanding of your psyche and full emotional control.But that’s not all – You will also get:BONUS #1Direct access to me for guidance and support throughout the whole programBONUS #2My personal Affirmation Database from which you will be able to build your ownBONUS #3Emotional Factory (printable + template) that will help you review & improve your emotional reactionsThis program is meant to make you fully emotionally independent and help youembrace a self-sufficient approach to life – one that you always strived for butnever believed is possible.4. What do I have to lose?WARNING: This program is not for everyone – if you can’t commit to something longer than the average attention span of a lab rat (8 sec btw), then this is NOT for you.But if you have at least a little willpower in you, and you can commit to doing up to 5 easy tasks daily for 3 weeks, then what are you waiting for?Click the “I want this!” button and start the 3 weeks program TODAY.Money-Back GuaranteeAlso, because I am so confident in my product, I offer you a Money-Back Guarantee (since I released the program, no one asked for this btw)If you are ready to bend the world to your will and your unmatchable confidence, hit that button and transcend.

Self-Sufficiency - 21 Days ProgramNo feel-good “self-improvement” guide, no BS, just a proven, easy to follow system to achieve total independence.Develop TOTAL CONTROL over your brain with this PROVEN 21 Days Program And Let Me Know How Quickly Your Life Turned Around With Only 5 Tasks a Day.If you are acting needy, with a lack of confidence...A lack of social skills, of discipline... If you are facing rejection on a daily basis... it’s NOT your fault - you were brainwashed.If you take a walk in the self-help section of a library, and pick up some of the books you will soon notice a very common theme amongst them - they are all preaching you need to learn yourself more- “You are depressed because you don’t know yourself enough”.This is where the first cycle of hell begins.The real reason why you are facing rejection and you are not an unstoppable, extremely self-confident person is a lack of self-awareness and discipline.This program was designed to give you the most actionable and straightforward process to develop an unmatchable self-confidence and complete self-sufficiency in life.It's a 21-day program that aims to rewire you into the person you want to become - a DIY process, but you can always reach out to me for guidance.IF you commit to following this program, you will achieve PEAK confidence and self-sufficiency in 21 days.You get 21 instruction files (in both audio and pdf), Templates for journaling and a database of affirmations to use. You can see what others who bought and tested the Program have to say:You don’t need to be obsessed with discipline to go through the entire program. You just need to commit to the daily tasks.This mentality that hinders your ability to finally do what you want with your life comes from reading ‘hyped’ self-help books that you think helps you.But in reality, it just gives you a kick of dopamine and motivation leaving you emptier than you were before.You, the one reading this, have a chance to cut through that ‘self-improvement’ noise and bullshit and actually learn the real ways of developing confidence.I know it because I rebuilt my self-confidence from the ground up, and I managed to help over 300+ people do the same with this product.I'm an ex-drug addict who lost then rebuilt my self-confidence from scratch. I have been giving specific advice on Twitter and Telegram on how to enhance one's self-confidence and get rid of fears for almost a year, amassing over 35k followers.My confidence comes from seeing how easily my clients achieve self-sufficiency and get real tangible results:If you wish to have similar results, click the “I want this!” button and start the program now, because the price goes up every month, so this is the second-best moment to start the 21 Days Program.The best moment was when you first opened this page.The alternative is going to CBT which costs $200 per session.FAQ1. How does it work?The program is composed of 22 PDFs and as many audio files containing daily instructions plus useful templates for journaling and organization.For every one of 21 days, you have a separate PDF with instructions. This guarantees the best results & creates in you (unlike in most programs) a lasting change.2. Can I stop in between?You can do whatever you want. Just know that it's 21 days for a reason - that's how much time takes humans to develop a new habit.3. How does it work?It's customizable - so you can make it fit your specific struggles, character traits and aspirations.It's divided into 3 stages (1 week each) - so you get to the bottom of your problems instead of just scraping the surface.It's giving you what no other program does - a state of complete self-sufficiency, understanding of your psyche and full emotional control.But that's not all - You will also get:BONUS #1Direct access to me for guidance and support throughout the whole programBONUS #2My personal Affirmation Database from which you will be able to build your ownBONUS #3Emotional Factory (printable + template) that will help you review & improve your emotional reactionsThis program is meant to make you fully emotionally independent and help youembrace a self-sufficient approach to life - one that you always strived for butnever believed is possible.4. What do I have to lose?WARNING: This program is not for everyone - if you can’t commit to something longer than the average attention span of a lab rat (8 sec btw), then this is NOT for you.But if you have at least a little willpower in you, and you can commit to doing up to 5 easy tasks daily for 3 weeks, then what are you waiting for?Click the “I want this!” button and start the 3 weeks program TODAY.Money-Back GuaranteeAlso, because I am so confident in my product, I offer you a Money-Back Guarantee (since I released the program, no one asked for this btw)If you are ready to bend the world to your will and your unmatchable confidence, hit that button and transcend. egodriven.gumroad.com

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No feel-good “self-improvement” guide, no BS, just a proven, easy to follow system to achieve total independence.Develop TOTAL CONTROL over your brain with this PROVEN 21 Days Program And Let Me Know How Quickly Your Life Turned Around With Only 5 Tasks a Day.If you are acting needy, with a lack of confidence…A lack of social skills, of discipline… If you are facing rejection on a daily basis… it’s NOT your fault – you were brainwashed.If you take a walk in the self-help section of a library, and pick up some of the books you will soon notice a very common theme amongst them – they are all preaching you need to learn yourself more- “You are depressed because you don’t know yourself enough”.This is where the first cycle of hell begins.The real reason why you are facing rejection and you are not an unstoppable, extremely self-confident person is a lack of self-awareness and discipline.This program was designed to give you the most actionable and straightforward process to develop an unmatchable self-confidence and complete self-sufficiency in life.It’s a 21-day program that aims to rewire you into the person you want to become – a DIY process, but you can always reach out to me for guidance.IF you commit to following this program, you will achieve PEAK confidence and self-sufficiency in 21 days.You get 21 instruction files (in both audio and pdf), Templates for journaling and a database of affirmations to use. You can see what others who bought and tested the Program have to say:You don’t need to be obsessed with discipline to go through the entire program. You just need to commit to the daily tasks.This mentality that hinders your ability to finally do what you want with your life comes from reading ‘hyped’ self-help books that you think helps you.But in reality, it just gives you a kick of dopamine and motivation leaving you emptier than you were before.You, the one reading this, have a chance to cut through that ‘self-improvement’ noise and bullshit and actually learn the real ways of developing confidence.I know it because I rebuilt my self-confidence from the ground up, and I managed to help over 300+ people do the same with this product.I’m an ex-drug addict who lost then rebuilt my self-confidence from scratch. I have been giving specific advice on Twitter and Telegram on how to enhance one’s self-confidence and get rid of fears for almost a year, amassing over 35k followers.My confidence comes from seeing how easily my clients achieve self-sufficiency and get real tangible results:If you wish to have similar results, click the “I want this!” button and start the program now, because the price goes up every month, so this is the second-best moment to start the 21 Days Program.The best moment was when you first opened this page.The alternative is going to CBT which costs $200 per session.FAQ1. How does it work?The program is composed of 22 PDFs and as many audio files containing daily instructions plus useful templates for journaling and organization.For every one of 21 days, you have a separate PDF with instructions. This guarantees the best results & creates in you (unlike in most programs) a lasting change.2. Can I stop in between?You can do whatever you want. Just know that it’s 21 days for a reason – that’s how much time takes humans to develop a new habit.3. How does it work?It’s customizable – so you can make it fit your specific struggles, character traits and aspirations.It’s divided into 3 stages (1 week each) – so you get to the bottom of your problems instead of just scraping the surface.It’s giving you what no other program does – a state of complete self-sufficiency, understanding of your psyche and full emotional control.But that’s not all – You will also get:BONUS #1Direct access to me for guidance and support throughout the whole programBONUS #2My personal Affirmation Database from which you will be able to build your ownBONUS #3Emotional Factory (printable + template) that will help you review & improve your emotional reactionsThis program is meant to make you fully emotionally independent and help youembrace a self-sufficient approach to life – one that you always strived for butnever believed is possible.4. What do I have to lose?WARNING: This program is not for everyone – if you can’t commit to something longer than the average attention span of a lab rat (8 sec btw), then this is NOT for you.But if you have at least a little willpower in you, and you can commit to doing up to 5 easy tasks daily for 3 weeks, then what are you waiting for?Click the “I want this!” button and start the 3 weeks program TODAY.Money-Back GuaranteeAlso, because I am so confident in my product, I offer you a Money-Back Guarantee (since I released the program, no one asked for this btw)If you are ready to bend the world to your will and your unmatchable confidence, hit that button and transcend.

BUYaskafifegodrivenNo feel-good “self-improvement” guide, no BS, just a proven, easy to follow system to achieve total independence.Develop TOTAL CONTROL over your brain with this PROVEN 21 Days Program And Let Me Know How Quickly Your Life Turned Around With Only 5 Tasks a Day.If you are acting needy, with a lack of confidence...A lack of social skills, of discipline... If you are facing rejection on a daily basis... it’s NOT your fault - you were brainwashed.If you take a walk in the self-help section of a library, and pick up some of the books you will soon notice a very common theme amongst them - they are all preaching you need to learn yourself more- “You are depressed because you don’t know yourself enough”.This is where the first cycle of hell begins.The real reason why you are facing rejection and you are not an unstoppable, extremely self-confident person is a lack of self-awareness and discipline.This program was designed to give you the most actionable and straightforward process to develop an unmatchable self-confidence and complete self-sufficiency in life.It's a 21-day program that aims to rewire you into the person you want to become - a DIY process, but you can always reach out to me for guidance.IF you commit to following this program, you will achieve PEAK confidence and self-sufficiency in 21 days.You get 21 instruction files (in both audio and pdf), Templates for journaling and a database of affirmations to use. You can see what others who bought and tested the Program have to say:You don’t need to be obsessed with discipline to go through the entire program. You just need to commit to the daily tasks.This mentality that hinders your ability to finally do what you want with your life comes from reading ‘hyped’ self-help books that you think helps you.But in reality, it just gives you a kick of dopamine and motivation leaving you emptier than you were before.You, the one reading this, have a chance to cut through that ‘self-improvement’ noise and bullshit and actually learn the real ways of developing confidence.I know it because I rebuilt my self-confidence from the ground up, and I managed to help over 300+ people do the same with this product.I'm an ex-drug addict who lost then rebuilt my self-confidence from scratch. I have been giving specific advice on Twitter and Telegram on how to enhance one's self-confidence and get rid of fears for almost a year, amassing over 35k followers.My confidence comes from seeing how easily my clients achieve self-sufficiency and get real tangible results:If you wish to have similar results, click the “I want this!” button and start the program now, because the price goes up every month, so this is the second-best moment to start the 21 Days Program.The best moment was when you first opened this page.The alternative is going to CBT which costs $200 per session.FAQ1. How does it work?The program is composed of 22 PDFs and as many audio files containing daily instructions plus useful templates for journaling and organization.For every one of 21 days, you have a separate PDF with instructions. This guarantees the best results & creates in you (unlike in most programs) a lasting change.2. Can I stop in between?You can do whatever you want. Just know that it's 21 days for a reason - that's how much time takes humans to develop a new habit.3. How does it work?It's customizable - so you can make it fit your specific struggles, character traits and aspirations.It's divided into 3 stages (1 week each) - so you get to the bottom of your problems instead of just scraping the surface.It's giving you what no other program does - a state of complete self-sufficiency, understanding of your psyche and full emotional control.But that's not all - You will also get:BONUS #1Direct access to me for guidance and support throughout the whole programBONUS #2My personal Affirmation Database from which you will be able to build your ownBONUS #3Emotional Factory (printable + template) that will help you review & improve your emotional reactionsThis program is meant to make you fully emotionally independent and help youembrace a self-sufficient approach to life - one that you always strived for butnever believed is possible.4. What do I have to lose?WARNING: This program is not for everyone - if you can’t commit to something longer than the average attention span of a lab rat (8 sec btw), then this is NOT for you.But if you have at least a little willpower in you, and you can commit to doing up to 5 easy tasks daily for 3 weeks, then what are you waiting for?Click the “I want this!” button and start the 3 weeks program TODAY.Money-Back GuaranteeAlso, because I am so confident in my product, I offer you a Money-Back Guarantee (since I released the program, no one asked for this btw)If you are ready to bend the world to your will and your unmatchable confidence, hit that button and transcend.

I asked several world-class founders one simple question:

“What early business mistake will you never make again?”

The result: 17 profound mistakes to avoid when building a business.

Let’s dive in 👇

My Notes:

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Alex Lieberman ☕️

I asked several world-class founders one simple question:

“What early business mistake will you never make again?”

The result: 17 profound mistakes to avoid when building a business.

Let’s dive in 👇

The @tailwindcss space-x utility is the best thing to happen to CSS Layout since Grid, dont sleep on it

My Notes:

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0:000:00

The @tailwindcss space-x utility is the best thing to happen to CSS Layout since Grid, dont sleep on it

The Physicists’ Library! 📚

20 Best Physics Books that you can read to get you started and excel at Learning Physics (Easy to Advanced)

A Thread 👇

My Notes:

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sunny

The Physicists’ Library! 📚

20 Best Physics Books that you can read to get you started and excel at Learning Physics (Easy to Advanced)

A Thread 👇

College completely failed in teaching me how to write.

So I spent over 500 hours studying legendary authors and copywriters.

Then, I distilled what I learned into 6 simple frameworks.

But unlike college, these won’t cost you $120,000.

Here they are for free:

My Notes:

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Dickie Bush 🚢

College completely failed in teaching me how to write.

So I spent over 500 hours studying legendary authors and copywriters.

Then, I distilled what I learned into 6 simple frameworks.

But unlike college, these won’t cost you $120,000.

Here they are for free:

1 2 3 5

Pro Curator

$99 /yearPay what you can