OK. I would like to order a pizza.
GOOGLE:
Do you want your usual, sir?
CALLER:
My usual? You know me?
Scary but Artificial intelligence...ππ
Ordering a Pizza in 2021
CALLER:
Is this Pizza Delight?
GOOGLE:
No sir, it's Google Pizza.
CALLER:
I must have dialed a wrong number. Sorry.
GOOGLE:
No sir, Google bought Pizza Delight last month.
OK. I would like to order a pizza.
GOOGLE:
Do you want your usual, sir?
CALLER:
My usual? You know me?
According to our caller ID data sheet, the last 12 times you called you ordered an extra-large pizza with three cheeses, sausage, pepperoni, mushrooms and meatballs on a thick crust.
CALLER:
OK! Thatβs what I want ...
May I suggest that this time you order a pizza with ricotta, arugula, sun-dried tomatoes and olives on a whole wheat gluten-free thin crust?
CALLER:
What? I detest vegetable!
GOOGLE:
Your cholesterol is not good, sir.
CALLER:
How the hell do you know!
Well, we cross-referenced your home phone number with your medical records. We have the result of your blood tests for the last 7 years.
CALLER:
Okay, but I do not want your rotten vegetable pizza! I already take medication for my cholesterol.
Excuse me sir, but you have not taken your medication regularly. According to our database, you purchased only a box of 30 cholesterol tablets once, at Drug RX Network, 4 months ago.
CALLER:
I bought more from another drugstore.
That doesnβt show on your credit card statement.
CALLER:
I paid in cash.
GOOGLE:
But you did not withdraw enough cash according to your bank statement.
CALLER:
I have other sources of cash.
That doesnβt show on your last tax return unless you bought them using an undeclared income source, which is against the law.
CALLER:
WHAT THE HELL!
GOOGLE:
I'm sorry, sir, we use such information only with the sole intention of helping you.
More from Tech
The 12 most important pieces of information and concepts I wish I knew about equity, as a software engineer.
A thread.
1. Equity is something Big Tech and high-growth companies award to software engineers at all levels. The more senior you are, the bigger the ratio can be:
2. Vesting, cliffs, refreshers, and sign-on clawbacks.
If you get awarded equity, you'll want to understand vesting and cliffs. A 1-year cliff is pretty common in most places that award equity.
Read more in this blog post I wrote: https://t.co/WxQ9pQh2mY
3. Stock options / ESOPs.
The most common form of equity compensation at early-stage startups that are high-growth.
And there are *so* many pitfalls you'll want to be aware of. You need to do your research on this: I can't do justice in a tweet.
https://t.co/cudLn3ngqi
4. RSUs (Restricted Stock Units)
A common form of equity compensation for publicly traded companies and Big Tech. One of the easier types of equity to understand: https://t.co/a5xU1H9IHP
5. Double-trigger RSUs. Typically RSUs for pre-IPO companies. I got these at Uber.
6. ESPP: a (typically) amazing employee perk at publicly traded companies. There's always risk, but this plan can typically offer good upsides.
7. Phantom shares. An interesting setup similar to RSUs... but you don't own stocks. Not frequent, but e.g. Adyen goes with this plan.
A thread.
1. Equity is something Big Tech and high-growth companies award to software engineers at all levels. The more senior you are, the bigger the ratio can be:
2. Vesting, cliffs, refreshers, and sign-on clawbacks.
If you get awarded equity, you'll want to understand vesting and cliffs. A 1-year cliff is pretty common in most places that award equity.
Read more in this blog post I wrote: https://t.co/WxQ9pQh2mY
3. Stock options / ESOPs.
The most common form of equity compensation at early-stage startups that are high-growth.
And there are *so* many pitfalls you'll want to be aware of. You need to do your research on this: I can't do justice in a tweet.
https://t.co/cudLn3ngqi
4. RSUs (Restricted Stock Units)
A common form of equity compensation for publicly traded companies and Big Tech. One of the easier types of equity to understand: https://t.co/a5xU1H9IHP
5. Double-trigger RSUs. Typically RSUs for pre-IPO companies. I got these at Uber.
6. ESPP: a (typically) amazing employee perk at publicly traded companies. There's always risk, but this plan can typically offer good upsides.
7. Phantom shares. An interesting setup similar to RSUs... but you don't own stocks. Not frequent, but e.g. Adyen goes with this plan.
THREAD: How is it possible to train a well-performing, advanced Computer Vision model πΌπ» ππ΅π² ππ£π¨? π€
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!
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Trump is gonna let the Mueller investigation end all on it's own. It's obvious. All the hysteria of the past 2 weeks about his supposed impending firing of Mueller was a distraction. He was never going to fire Mueller and he's not going to
Mueller's officially end his investigation all on his own and he's gonna say he found no evidence of Trump campaign/Russian collusion during the 2016 election.
Democrats & DNC Media are going to LITERALLY have nothing coherent to say in response to that.
Mueller's team was 100% partisan.
That's why it's brilliant. NOBODY will be able to claim this team of partisan Democrats didn't go the EXTRA 20 MILES looking for ANY evidence they could find of Trump campaign/Russian collusion during the 2016 election
They looked high.
They looked low.
They looked underneath every rock, behind every tree, into every bush.
And they found...NOTHING.
Those saying Mueller will file obstruction charges against Trump: laughable.
What documents did Trump tell the Mueller team it couldn't have? What witnesses were withheld and never interviewed?
THERE WEREN'T ANY.
Mueller got full 100% cooperation as the record will show.
BREAKING: President Donald Trump has submitted his answers to questions from special counsel Robert Mueller
— Ryan Saavedra (@RealSaavedra) November 20, 2018
Mueller's officially end his investigation all on his own and he's gonna say he found no evidence of Trump campaign/Russian collusion during the 2016 election.
Democrats & DNC Media are going to LITERALLY have nothing coherent to say in response to that.
Mueller's team was 100% partisan.
That's why it's brilliant. NOBODY will be able to claim this team of partisan Democrats didn't go the EXTRA 20 MILES looking for ANY evidence they could find of Trump campaign/Russian collusion during the 2016 election
They looked high.
They looked low.
They looked underneath every rock, behind every tree, into every bush.
And they found...NOTHING.
Those saying Mueller will file obstruction charges against Trump: laughable.
What documents did Trump tell the Mueller team it couldn't have? What witnesses were withheld and never interviewed?
THERE WEREN'T ANY.
Mueller got full 100% cooperation as the record will show.
The first area to focus on is diversity. This has become a dogma in the tech world, and despite the fact that tech is one of the most meritocratic industries in the world, there are constant efforts to promote diversity at the expense of fairness, merit and competency. Examples:
USC's Interactive Media & Games Division cancels all-star panel that included top-tier game developers who were invited to share their experiences with students. Why? Because there were no women on the
ElectronConf is a conf which chooses presenters based on blind auditions; the identity, gender, and race of the speaker is not known to the selection team. The results of that merit-based approach was an all-male panel. So they cancelled the conference.
Apple's head of diversity (a black woman) got in trouble for promoting a vision of diversity that is at odds with contemporary progressive dogma. (She left the company shortly after this
Also in the name of diversity, there is unabashed discrimination against men (especially white men) in tech, in both hiring policies and in other arenas. One such example is this, a developer workshop that specifically excluded men: https://t.co/N0SkH4hR35
USC's Interactive Media & Games Division cancels all-star panel that included top-tier game developers who were invited to share their experiences with students. Why? Because there were no women on the
ElectronConf is a conf which chooses presenters based on blind auditions; the identity, gender, and race of the speaker is not known to the selection team. The results of that merit-based approach was an all-male panel. So they cancelled the conference.
Apple's head of diversity (a black woman) got in trouble for promoting a vision of diversity that is at odds with contemporary progressive dogma. (She left the company shortly after this
Also in the name of diversity, there is unabashed discrimination against men (especially white men) in tech, in both hiring policies and in other arenas. One such example is this, a developer workshop that specifically excluded men: https://t.co/N0SkH4hR35
Tip from the Monkey
Pangolins, September 2019 and PLA are the key to this mystery
Stay Tuned!
1. Yang
2. A jacobin capuchin dangling a flagellin pangolin on a javelin while playing a mandolin and strangling a mannequin on a paladin's palanquin, said Saladin
More to come tomorrow!
3. Yigang Tong
https://t.co/CYtqYorhzH
Archived: https://t.co/ncz5ruwE2W
4. YT Interview
Some bats & pangolins carry viruses related with SARS-CoV-2, found in SE Asia and in Yunnan, & the pangolins carrying SARS-CoV-2 related viruses were smuggled from SE Asia, so there is a possibility that SARS-CoV-2 were coming from
Pangolins, September 2019 and PLA are the key to this mystery
Stay Tuned!
1. Yang
Meet Yang Ruifu, CCP's biological weapons expert https://t.co/JjB9TLEO95 via @Gnews202064
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) October 11, 2020
Interesting expose of China's top bioweapons expert who oversaw fake pangolin research
Paper 1: https://t.co/TrXESKLYmJ
Paper 2:https://t.co/9LSJTNCn3l
Pangolinhttps://t.co/2FUAzWyOcv pic.twitter.com/I2QMXgnkBJ
2. A jacobin capuchin dangling a flagellin pangolin on a javelin while playing a mandolin and strangling a mannequin on a paladin's palanquin, said Saladin
More to come tomorrow!
3. Yigang Tong
https://t.co/CYtqYorhzH
Archived: https://t.co/ncz5ruwE2W
4. YT Interview
Some bats & pangolins carry viruses related with SARS-CoV-2, found in SE Asia and in Yunnan, & the pangolins carrying SARS-CoV-2 related viruses were smuggled from SE Asia, so there is a possibility that SARS-CoV-2 were coming from