The lesson here is not "OMG big tech is more powerful than the president, this isn't how it's supposed to be!" but "Even the president is not exempt from the rules we all agreed to follow, that is exactly how it's supposed to be."
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(DC POLICE) MPD CHIEF : "There was no intelligence that suggests that there would be a breach of the US Capitol. "
— Chris Cioffi (@ReporterCioffi) January 7, 2021
One of the most significant problems a lot of Democrats and the liberal commentariat have been allowing themselves to be hampered by is an adherence to some sort of notion of the sacrosanct nature of institutions as those institutions are burning down because people won\u2019t act.
— Dr. Sunny Moraine PhD is carrying the fire (@dynamicsymmetry) January 8, 2021
She's on video running and tackling him. She physically attacked him.
The 22-year-old woman caught on camera allegedly physically attacking a 14-year-old Black teen and falsely accusing him of stealing her phone was arrested in California.
— CBS This Morning (@CBSThisMorning) January 8, 2021
In an exclusive interview, Miya Ponsetto and her lawyer spoke with @GayleKing hours before she was arrested. pic.twitter.com/ezaGkcWZ8j
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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.
So I have been studying this entire communication layer as its relevance is ever growing with more devices coming online, staying connected, and relying on real-time communication. Not that this domain under penetrated, but there is a change underway.
— Ameya (@Finstor85) February 10, 2021
This thread is inspired by one of the articles I read on the-ken about #postman API & how they are transforming & expediting software product delivery & consumption, leading to enhanced developer productivity.
We all know that #Twilio offers host of APIs that can be readily used for faster integration by anyone who wants to have communication capabilities. Before we move ahead, let's get a few things cleared out.
Can anyone build the programming capability to process payments or communication capabilities? Yes, but will they, the answer is NO. Companies prefer to consume APIs offered by likes of #Stripe #twilio #Shopify #razorpay etc.
This offers two benefits - faster time to market, of course that means no need to re-invent the wheel + not worrying of compliance around payment process or communication regulations. This makes entire ecosystem extremely agile
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!