“Smear and harass Ms.Heard while simultaneously promoting and praising Mr Depp’s agent and attorney, Adam Waldman.” - This part is specifically important.
Deconstructing AH’s ‘bot’ list - A Thread 🤖
#JusticeForJohnnyDepp
#AmberHeardIsALiar
“Smear and harass Ms.Heard while simultaneously promoting and praising Mr Depp’s agent and attorney, Adam Waldman.” - This part is specifically important.
• No Longer exists
• No Connection at all
• P*rn accounts
• Depp Fan accounts
• Only 1 tweet with any link
• Other
• and finally @adam_waldman 🤣
#JusticeForJohnnyDepp, Justice, Johnny, Depp, Amber and Heard
I used all the most commonly used terms with this case so it would throw up anything connected
This included accounts with:
Only a few tweets, none that were relevant.
Accounts who tweet about other Johnny’s or Amber’s but not JD or AH.
A Movie update sort of account (had posted positively about Aquafish) and
Political accounts.
My eyeballs need a cleansing. That’s all I have to say about these 😬😂
All of these are basically supporter/ Fan accounts.
They tweet about things other than the case (both JD and general life.)
They’ve posted selfies/ photos of their children things like that.
They interact with other accounts frequently.
They post photos of merch, new DVDs etc.
Not every account is a typical ‘Stan’ account in this section but basically they are all very obviously human and the common theme is they all just want Justice for Johnny. No bots here.
These tweets included simple #JusticeForJohnnyDepp tweets- no malice involved,
A tweet about Pirates of the Caribbean,
A tweet defending AH
and accounts with one singular RT.
Coincidental? 🤫😂
Basically the other random accounts I found these included:
Private accounts (she wouldn’t see their tweets unless she followed.)
Accounts with minimal tweets but a few of those relating to the case (most I found on one account was 3 tweets.)
And one account who tweeted about Lily-Rose once in 2012... 😅
There’s no comment for this really other than the fact he is very clearly human and not bot 😂
Not one of those 209 accounts were used to “Smear and harass Ms.Heard while simultaneously promoting and praising Mr Depp’s agent and attorney, Adam Waldman.” And it wasn’t hard to disprove either.
More from Tech
Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
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!
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MDZS is laden with buddhist references. As a South Asian person, and history buff, it is so interesting to see how Buddhism, which originated from India, migrated, flourished & changed in the context of China. Here's some research (🙏🏼 @starkjeon for CN insight + citations)
1. LWJ’s sword Bichen ‘is likely an abbreviation for the term 躲避红尘 (duǒ bì hóng chén), which can be translated as such: 躲避: shunning or hiding away from 红尘 (worldly affairs; which is a buddhist teaching.) (https://t.co/zF65W3roJe) (abbrev. TWX)
2. Sandu (三 毒), Jiang Cheng’s sword, refers to the three poisons (triviṣa) in Buddhism; desire (kāma-taṇhā), delusion (bhava-taṇhā) and hatred (vibhava-taṇhā).
These 3 poisons represent the roots of craving (tanha) and are the cause of Dukkha (suffering, pain) and thus result in rebirth.
Interesting that MXTX used this name for one of the characters who suffers, arguably, the worst of these three emotions.
3. The Qian kun purse “乾坤袋 (qián kūn dài) – can be called “Heaven and Earth” Pouch. In Buddhism, Maitreya (मैत्रेय) owns this to store items. It was believed that there was a mythical space inside the bag that could absorb the world.” (TWX)
1. LWJ’s sword Bichen ‘is likely an abbreviation for the term 躲避红尘 (duǒ bì hóng chén), which can be translated as such: 躲避: shunning or hiding away from 红尘 (worldly affairs; which is a buddhist teaching.) (https://t.co/zF65W3roJe) (abbrev. TWX)
2. Sandu (三 毒), Jiang Cheng’s sword, refers to the three poisons (triviṣa) in Buddhism; desire (kāma-taṇhā), delusion (bhava-taṇhā) and hatred (vibhava-taṇhā).
These 3 poisons represent the roots of craving (tanha) and are the cause of Dukkha (suffering, pain) and thus result in rebirth.
Interesting that MXTX used this name for one of the characters who suffers, arguably, the worst of these three emotions.
3. The Qian kun purse “乾坤袋 (qián kūn dài) – can be called “Heaven and Earth” Pouch. In Buddhism, Maitreya (मैत्रेय) owns this to store items. It was believed that there was a mythical space inside the bag that could absorb the world.” (TWX)
