Your commentary on the dangers of silicon valley coming under the spell of wokeness and cancel culture is spot on. I know this to be true because in Bitcoin we have already lived through a similar culture war against crypto anarchists.
For example have a look at this excellent presentation on @twetchapp https://t.co/BR8sXguBRT
More from Tech
These past few days I've been experimenting with something new that I want to use by myself.
Interestingly, this thread below has been written by that.
Let me show you how it looks like. 👇🏻
When you see localhost up there, you should know that it's truly an experiment! 😀
It's a dead-simple thread writer that will post a series of tweets a.k.a tweetstorm. ⚡️
I've been personally wanting it myself since few months ago, but neglected it intentionally to make sure it's something that I genuinely need.
So why is that important for me? 🙂
I've been a believer of a story. I tell stories all the time, whether it's in the real world or online like this. Our society has moved by that.
If you're interested by stories that move us, read Sapiens!
One of the stories that I've told was from the launch of Poster.
It's been launched multiple times this year, and Twitter has been my go-to place to tell the world about that.
Here comes my frustration.. 😤
Interestingly, this thread below has been written by that.
Let me show you how it looks like. 👇🏻
Recently I just refunded all Poster's sales from Gumroad. Being that said, I decided to not using that service anymore.
— Wilbert Liu \U0001f468\U0001f3fb\u200d\U0001f3a8 (@wilbertliu) November 19, 2018
Here's a little story \U0001f447\U0001f3fb
When you see localhost up there, you should know that it's truly an experiment! 😀
It's a dead-simple thread writer that will post a series of tweets a.k.a tweetstorm. ⚡️
I've been personally wanting it myself since few months ago, but neglected it intentionally to make sure it's something that I genuinely need.
So why is that important for me? 🙂
I've been a believer of a story. I tell stories all the time, whether it's in the real world or online like this. Our society has moved by that.
If you're interested by stories that move us, read Sapiens!
One of the stories that I've told was from the launch of Poster.
It's been launched multiple times this year, and Twitter has been my go-to place to tell the world about that.
Here comes my frustration.. 😤
THREAD: How is it possible to train a well-performing, advanced Computer Vision model 𝗼𝗻 𝘁𝗵𝗲 𝗖𝗣𝗨? 🤔
At the heart of this lies the most important technique in modern deep learning - transfer learning.
Let's analyze how it
2/ For starters, let's look at what a neural network (NN for short) does.
An NN is like a stack of pancakes, with computation flowing up when we make predictions.
How does it all work?
3/ We show an image to our model.
An image is a collection of pixels. Each pixel is just a bunch of numbers describing its color.
Here is what it might look like for a black and white image
4/ The picture goes into the layer at the bottom.
Each layer performs computation on the image, transforming it and passing it upwards.
5/ By the time the image reaches the uppermost layer, it has been transformed to the point that it now consists of two numbers only.
The outputs of a layer are called activations, and the outputs of the last layer have a special meaning... they are the predictions!
At the heart of this lies the most important technique in modern deep learning - transfer learning.
Let's analyze how it
THREAD: Can you start learning cutting-edge deep learning without specialized hardware? \U0001f916
— Radek Osmulski (@radekosmulski) February 11, 2021
In this thread, we will train an advanced Computer Vision model on a challenging dataset. \U0001f415\U0001f408 Training completes in 25 minutes on my 3yrs old Ryzen 5 CPU.
Let me show you how...
2/ For starters, let's look at what a neural network (NN for short) does.
An NN is like a stack of pancakes, with computation flowing up when we make predictions.
How does it all work?
3/ We show an image to our model.
An image is a collection of pixels. Each pixel is just a bunch of numbers describing its color.
Here is what it might look like for a black and white image
4/ The picture goes into the layer at the bottom.
Each layer performs computation on the image, transforming it and passing it upwards.
5/ By the time the image reaches the uppermost layer, it has been transformed to the point that it now consists of two numbers only.
The outputs of a layer are called activations, and the outputs of the last layer have a special meaning... they are the predictions!
There has been a lot of discussion about negative emissions technologies (NETs) lately. While we need to be skeptical of assumed planetary-scale engineering and wary of moral hazard, we also need much greater RD&D funding to keep our options open. A quick thread: 1/10
Energy system models love NETs, particularly for very rapid mitigation scenarios like 1.5C (where the alternative is zero global emissions by 2040)! More problematically, they also like tons of NETs in 2C scenarios where NETs are less essential. https://t.co/M3ACyD4cv7 2/10
In model world the math is simple: very rapid mitigation is expensive today, particularly once you get outside the power sector, and technological advancement may make later NETs cheaper than near-term mitigation after a point. 3/10
This is, of course, problematic if the aim is to ensure that particular targets (such as well-below 2C) are met; betting that a "backstop" technology that does not exist today at any meaningful scale will save the day is a hell of a moral hazard. 4/10
Many models go completely overboard with CCS, seeing a future resurgence of coal and a large part of global primary energy occurring with carbon capture. For example, here is what the MESSAGE SSP2-1.9 scenario shows: 5/10
Energy system models love NETs, particularly for very rapid mitigation scenarios like 1.5C (where the alternative is zero global emissions by 2040)! More problematically, they also like tons of NETs in 2C scenarios where NETs are less essential. https://t.co/M3ACyD4cv7 2/10
There is a lot of confusion about carbon budgets and how quickly emissions need to fall to zero to meet various warming targets. To cut through some of this morass, we can use some very simple emission pathways to explore what various targets would entail. 1/11 pic.twitter.com/Kriedtf0Ec
— Zeke Hausfather (@hausfath) September 24, 2020
In model world the math is simple: very rapid mitigation is expensive today, particularly once you get outside the power sector, and technological advancement may make later NETs cheaper than near-term mitigation after a point. 3/10
This is, of course, problematic if the aim is to ensure that particular targets (such as well-below 2C) are met; betting that a "backstop" technology that does not exist today at any meaningful scale will save the day is a hell of a moral hazard. 4/10
Many models go completely overboard with CCS, seeing a future resurgence of coal and a large part of global primary energy occurring with carbon capture. For example, here is what the MESSAGE SSP2-1.9 scenario shows: 5/10
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A thread 🧵
1) Learn Anything - Search tools for knowledge discovery that helps you understand any topic through the most efficient
2) Grad Speeches - Discover the best commencement speeches.
This website is made by me
3) What does the Internet Think - Find out what the internet thinks about anything
4) https://t.co/vuhT6jVItx - Send notes that will self-destruct after being read.
A thread 🧵
1) Learn Anything - Search tools for knowledge discovery that helps you understand any topic through the most efficient
2) Grad Speeches - Discover the best commencement speeches.
This website is made by me
3) What does the Internet Think - Find out what the internet thinks about anything
4) https://t.co/vuhT6jVItx - Send notes that will self-destruct after being read.
