This essentially turns it into a very shiny paperweight.
So is Apple's anti-theft security a wonderful boon to users?
Or is it just another evil corporation strengthening it's monopoly power?
This essentially turns it into a very shiny paperweight.
My how the corporate overlords have trained us to be their apologists.
Unfortunately I hadn't read up enough to be an expert on their T2 chip and Activation lock.
But there's a lot of assuming happening there.
Ah but the buyer should beware, right?
Maybe. We'll assume yes now for the sake of argument.
Great. Why does Apple care?
That'd be a MUCH bigger profit incentive for Apple than merely cracking down on stolen computers
Any buyer who knows about this is going to be VERY worried about buying a used computer. Apple has effectively drastically reduced the used computer market for their computers.
Which costs money.
AND you have to have the ORIGINAL proof of purchase.
This may provide me with recourse, because I have the expertise to do it (though it's unclear if I have the patience — I may just get my money back from ebay).
People who steal computers.
It is Apple's administration of this new technology that is monopolist and outrageous.
More from Tech
The entire discussion around Facebook’s disclosures of what happened in 2016 is very frustrating. No exec stopped any investigations, but there were a lot of heated discussions about what to publish and when.
In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.
In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.
This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.
In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.
The story doesn\u2019t say you were told not to... it says you did so without approval and they tried to obfuscate what you found. Is that true?
— Sarah Frier (@sarahfrier) November 15, 2018
In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.
In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.
This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.
In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.
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!
Thought I'd put a thread together of some resources & people I consider really valuable & insightful for anyone considering or just starting out on their @SorareHQ journey. It's by no means comprehensive, this community is super helpful so no offence to anyone I've missed off...
1) Get yourself on the official Sorare Discord group https://t.co/1CWeyglJhu, the forum is always full of interesting debate. Got a question? Put it on the relevant thread & it's usually answered in minutes. This is also a great place to engage directly with the @SorareHQ team.
2) Bury your head in @HGLeitch's @SorareData & get to grips with all the collated information you have to hand FOR FREE! IMO it's vital for price-checking, scouting & S05 team building plus they are hosts to the forward thinking SO11 and SorareData Cups 🏆
3) Get on YouTube 📺, subscribe to @Qu_Tang_Clan's channel https://t.co/1ZxMsQR1kq & engross yourself in hours of Sorare tutorials & videos. There's a good crowd that log in to the live Gameweek shows where you get to see Quinny scratching his head/ beard over team selection.
4) Make sure to follow & give a listen to the @Sorare_Podcast on the streaming service of your choice 🔊, weekly shows are always insightful with great guests. Worth listening to the old episodes too as there's loads of information you'll take from them.
1) Get yourself on the official Sorare Discord group https://t.co/1CWeyglJhu, the forum is always full of interesting debate. Got a question? Put it on the relevant thread & it's usually answered in minutes. This is also a great place to engage directly with the @SorareHQ team.
2) Bury your head in @HGLeitch's @SorareData & get to grips with all the collated information you have to hand FOR FREE! IMO it's vital for price-checking, scouting & S05 team building plus they are hosts to the forward thinking SO11 and SorareData Cups 🏆
3) Get on YouTube 📺, subscribe to @Qu_Tang_Clan's channel https://t.co/1ZxMsQR1kq & engross yourself in hours of Sorare tutorials & videos. There's a good crowd that log in to the live Gameweek shows where you get to see Quinny scratching his head/ beard over team selection.
4) Make sure to follow & give a listen to the @Sorare_Podcast on the streaming service of your choice 🔊, weekly shows are always insightful with great guests. Worth listening to the old episodes too as there's loads of information you'll take from them.
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Facebook originally a CIA program called "LifeLog".
LifeLog, via DARPA, terminated on Feb 4th, 2004.
Facebook was launched on Feb 4th, 2004.
Many of the LifeLog team became execs at FB.
Zuckerberg is a figurehead.
CIA allowed Cambridge to help Trump win
https://t.co/enzOXDCogV
Pentagon Kills LifeLog
LifeLog, via DARPA, terminated on Feb 4th, 2004.
Facebook was launched on Feb 4th, 2004.
Many of the LifeLog team became execs at FB.
Zuckerberg is a figurehead.
CIA allowed Cambridge to help Trump win
https://t.co/enzOXDCogV
Project: Lifelog
— Robert Horan (@Robby12692) December 13, 2018
Started by DARPA in 1999, the goal of Lifelog was to create a database on civilians without their knowledge, and track everything they do.
The project "ended" on Feb 4th, 2004.
Facebook began the exact same day.
The CIA funneled tens of millions into Facebook. pic.twitter.com/r7hwF0v9kh
Pentagon Kills LifeLog