Signal, the encrypted messaging app that recently exploded in popularity, attempted to run an Instagram ad campaign to show users how the social media platform targets and sells their personal information using its own ad tools. Not so fast, said Facebook, which then proceeded to shut down Signal’s advertising account.

User privacy and social media have always had a complex relationship, spawning endless debates on regulation, tracking online user behaviour and data collection. It’s why some companies have increasingly started to push privacy as a core feature of their products.

Signal, the encrypted messaging app, gained worldwide popularity based on the same premise, and it’s not surprising to see the company highlight privacy issues present on rival platforms. In a blog post titled “The Instagram ads Facebook won’t show you,” Signal reveals how it got banned from trying to buy ads that would show Instagram users what personal data is collected by Facebook and how it’s used to push targeted ads.

Some of the targeted ads that Signal crafted using Facebook’s own advertising tools

Signal says that Facebook doesn’t build technology for users, but instead for their data. It argues that the ad tools developed by Facebook have the “potential to divulge what is otherwise unseen,” noting that its Instagram ad campaign was to display some of the user information collected by the platform. “Facebook is more than willing to sell visibility into people’s lives, unless it’s to tell people about how their data is being used,” says the privacy-focused company, whose advertising account was banned for attempting to show these ads on Instagram.

The social media giant has also been engaged in a similar privacy battle with Apple, which recently released iOS 14.5.1 with an ad tracking opt-out feature that lets users block apps from cross-service tracking and pushing targeted advertising.

Dogecoin, the red-hot cryptocurrency that started life as more of a joke than anything else, is now the fourth largest cryptocurrency in the world by market cap following an impressive run over the last month.

The virtual currency, which utilizes the face of a Shiba Inu hunting dog from the “Doge” meme as its logo, is trading at $0.67 as of writing. That doesn’t seem like a big deal at face value, but what’s important to note here is the sheer number of coins in circulation: 129.33 billion as of writing.

For comparison, Bitcoin, the world’s largest cryptocurrency by market cap, will only ever have 21 million coins minted (and that isn’t expected to happen until around 2140). What’s more, some percentage of those coins have been “lost” to various circumstances (for example, someone holding a couple coins dies and their family is unable to recover them from their digital wallet). Thus, the true number of coins that’ll be in circulation will be lower.

Speaking of market cap, Bitcoin’s cap is around $1.05 trillion as of this writing, while Dogecoin is sitting at $85.51 billion. Ethereum has a current market cap of $390.59 billion. Litecoin, another leading virtual currency, has a cap of $23.67 billion as of today.

Dogecoin has developed a solid community following on platforms like Reddit, and serial entrepreneur Elon Musk occasionally tweets about it. Since his last tweet about it, where he also announced he would he hosting Saturday Night Live on May 8, Dogecoin has doubled in value.

Last week, WhatsApp published a blog post explaining that users will eventually have to accept its controversial privacy terms to continue using its service. The platform has now detailed the consequences of not accepting the changes by the May 15 deadline.

In an FAQ published on its website, WhatsApp notes that users will risk losing the platform’s full functionality if they don’t accept the updated privacy policy.

“For a short time, you’ll be able to receive calls and notifications, but won’t be able to read or send messages from the app,” writes WhatsApp. Speaking to TechCrunch, WhatsApp confirmed that the “short time” will last a few weeks.

The service also notes that its policy regarding inactive users will apply after May 15.

That said, the Facebook-owned messaging service will not delete your account if you don’t accept the new policy. You’ll also be able to export your chat history on Android or iPhone and download a report of your account before the deadline.

However, if you choose to quit WhatsApp, you won’t be able to reverse the account deletion as “it erases your message history, removes you from all of your WhatsApp groups, and deletes your WhatsApp backups.”

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. It focuses on the development of computer programs that can access data and use it learn for themselves. It is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them with data and information in the form of observations and real-world interactions.

The field of Machine Learning seeks to answer the question “How can we build computer systems that automatically improve with experience, and what are the fundamental laws that govern all learning processes?  

Basically, a machine learning algorithm is given a “teaching set” of data, and then asked to use that data to answer a question. For example, you might provide a computer a teaching set of photographs, some of which say, “this is a cat” and some of which say, “this is not a cat.” Then you could show the computer a series of new photos and it would begin to identify which photos were of cats.

ML techniques are becoming increasingly more widespread in applications. We use apps based on machine learning every day, and one typical example is Apple’s Siri. How is it possible for Siri to answer your questions or decode speech and convert it to text? There is also Microsoft’s Cortana. In fact MS Cortana is smart enough to crack a joke and tell whether you should leave early for work because there’s a lot of traffic. Google Assistant too cannot be exempted from the list.  Another cool machine learning example is Facebook’s face recognition software. Snapchat is another good example. Snapchat introduced facial filters, called Lenses, in 2015. These filters track facial movements, allowing users to add animated effects or digital masks that adjust when their faces move. Other application of ML include fraud detection, risk management, voice-to-text etc. Even, the “people you may know” feature on social media platform is the handiwork of ML.

Machine Learning is fun, challenging, puzzling, and even a bit scary because robots may someday steal our jobs and rule the world.