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Last month, Facebook-owned WhatsApp announced it would delay enforcement of its new privacy terms, following a backlash from confused users which later led to a legal challenge in India and various regulatory investigations. WhatsApp users had misinterpreted the privacy updates as an indication that the app would begin sharing more data — including their private messages — with Facebook. Today, the company is sharing the next steps it’s taking to try to rectify the issue and clarify that’s not the case.
The mishandling of the privacy update on WhatsApp’s part led to widespread confusion and misinformation. In reality, WhatsApp had been sharing some information about its users with Facebook since 2016, following its acquisition by Facebook.
But the backlash is a solid indication of much user trust Facebook has since squandered. People immediately suspected the worst, and millions fled to alternative messaging apps, like Signal and Telegram, as a result.
Following the outcry, WhatsApp attempted to explain that the privacy update was actually focused on optional business features on the app, which allow business to see the content of messages between it and the end user, and give the businesses permission to use that information for its own marketing purposes, including advertising on Facebook. WhatsApp also said it labels conversations with businesses that are using hosting services from Facebook to manage their chats with customers, so users were aware.
Image Credits: WhatsApp
In the weeks since the debacle, WhatsApp says it spent time gathering user feedback and listening to concerns from people in various countries. The company found that users wanted assurance that WhatsApp was not reading their private messages or listening to their conversations, and that their communications were end-to-end encrypted. Users also said they wanted to know that WhatsApp wasn’t keeping logs of who they were messaging or sharing contact lists with Facebook.
These latter concerns seem valid, given that Facebook recently made its messaging systems across Facebook, Messenger and Instagram interoperable. One has to wonder when similar integrations will make their way to WhatsApp.
Today, WhatsApp says it will roll out new communications to users about the privacy update, which follows the Status update it offered back in January aimed at clarifying points of confusion. (See below).
Image Credits: WhatsApp
In a few weeks, WhatsApp will begin to roll out a small, in-app banner that will ask users to re-review the privacy policies — a change the company said users have shown to prefer over the pop-up, full-screen alert it displayed before.
When users click on “to review,” they’ll be shown a deeper summary of the changes, including added details about how WhatsApp works with Facebook. The changes stress that WhatsApp’s update don’t impact the privacy of users’ conversations, and reiterate the information about the optional business features.
Eventually, WhatsApp will begin to remind users to review and accept its updates to keep using WhatsApp. According to its prior announcement, it won’t be enforcing the new policy until May 15.
Image Credits: WhatsApp
Users will still need to be aware that their communications with businesses are not as secure as their private messages. This impacts a growing number of WhatsApp users, 175 million of which now communicate with businesses on the app, WhatsApp said in October.
In today’s blog post about the changes, WhatsApp also took a big swipe at rival messaging apps that used the confusion over the privacy update to draw in WhatsApp’s fleeing users by touting their own app’s privacy.
“We’ve seen some of our competitors try to get away with claiming they can’t see people’s messages – if an app doesn’t offer end-to-end encryption by default that means they can read your messages,” WhatsApp’s blog post read.
This seems to be a comment directed specifically towards Telegram, which often touts its “heavily encrypted” messaging app as more private alternative. But Telegram doesn’t offer end-to-end encryption by default, as apps like WhatsApp and Signal do. It uses “transport layer” encryption that protects the connection from the user to the server, a Wired article citing cybersecurity professionals explained in January. When users want an end-to-end encrypted experience for their one-on-one chats, they can enable the “secret chats” feature instead. (And this feature isn’t even available for group chats.)
In addition, WhatsApp fought back against the characterization that it’s somehow less safe because it has some limited data on users.
“Other apps say they’re better because they know even less information than WhatsApp. We believe people are looking for apps to be both reliable and safe, even if that requires WhatsApp having some limited data,” the post read. “We strive to be thoughtful on the decisions we make and we’ll continue to develop new ways of meeting these responsibilities with less information, not more,” it noted.
Artificial intelligence and machine-learning technologies have evolved a lot over the past decade and have been useful to many people and businesses, especially in the realm of finance, banking, investment and trading.
In these industries, there are many activities that machines can perform better and faster than humans, such as calculations and financial reporting, as long as the machines are given the complete data.
The AI tools being built by humans today are becoming another level more robust in their ability to predict trends, provide complex analysis, and execute automations faster and cheaper than humans. However, there has not been an AI-powered machine built yet that can trade on its own.
There are many activities that machines can perform better and faster than humans, such as calculations and financial reporting, as long as the machines are given the complete data.
Even if it was possible to train such a system that could replace human judgment, there would still be a margin of error, as well as some things that are only understandable by human beings. Humans are still ultimately responsible for the design of AI-based prediction machines, and progress can only happen with their input.
Data is the backbone of any prediction machine
Building an AI-based prediction machine initially requires an understanding of the problem being solved and the requirements of the user. After that, it’s important to select the machine-learning technique that will be implemented, based on what the machine will do.
There are three techniques: supervised learning (learning from examples), unsupervised learning (learning to identify common patterns), and reinforcement learning (learning based on the concept of gamification).
After the technique is identified, it’s time to implement a machine-learning model. For “time series forecasting” — which involves making predictions about the future — long short-term memory (LSTM) with sequence to sequence (Seq2Seq) models can be used.
LSTM networks are especially suited to making predictions based on a series of data points indexed in time order. Even simple convolutional neural networks, applicable to image and video recognition, or recurrent neural networks, applicable to handwriting and speech recognition, can be used.
Source: https://techcrunch.com/2021/02/18/creating-a-prediction-machine-for-the-financial-markets/
Uber today notified employees that it will extend its work from home policy through September 13.
“In considering the extension, we took into account the latest scientific data and experts’ views; the fact that different countries are at different stages of recovery; and the start of the school year,” Uber Chief People Officer Nikki Krish wrote in an email, viewed by TechCrunch, to employees. “[…] We know that some CommOps, IT, or other roles require physical presence in an office, so please continue to work within the policies your teams have developed—however, as always, we won’t force anyone to go into the office if they have medical concerns.”
Uber is also encouraging employees to get vaccinated when it’s possible to do so. In the email, Krish said Uber employees will be able to take time off in order to get vaccinated.
In August, Uber notified employees that they should expect to work from home through June 2021. As for other tech companies, Google in July extended its work from home policy through the end of June 2021, while Facebook in August extended its remote work policy until July 2021.
Post-COVID, Uber will likely have a hybrid work model, Krish said, but it’s still a work in progress.
“We’re taking a number of aspects into consideration, such as how being physically together benefits or reduces productivity, collaboration, and engagement,” she wrote. “We’ll update you on where things stand in a few weeks, and along the way as we make progress.”
Source: https://techcrunch.com/2021/02/18/uber-extends-work-from-home-policy-through-mid-september/
If you use Office, Microsoft would really, really, really like you to buy a cloud-enabled subscription to Microsoft 365 (formerly Office 365). But as the company promised, it will continue to make a stand-alone, perpetual license for Office available for the foreseeable future. A while back, it launched Office 2019, which includes the standard suite of Office tools, but is frozen in time and without the benefit of the regular feature updates and cloud-based tools that come with the subscription offering.
Today, Microsoft is announcing what is now called the Microsoft Office LTSC (Long Term Servicing Channel). It’ll be available as a commercial preview in April and will be available on both Mac and Windows, in both 32-bit and 64-bit versions.
And like with the previous version, it’s clear that Microsoft would really prefer if you just moved to the cloud already. But it also knows that not everybody can do that, so it now calls this version with its perpetual license that you pay for once and then use for as long as you want to (or have compatible hardware) a “specialty product for specific scenarios. Those scenarios, Microsoft agrees, include situations where you have a regulated device that can’t accept feature updates for years at a time, process control devices on a manufacturing floor and other devices that simply can’t be connected to the internet.
“We expect that most customers who use Office LTSC won’t do it across their entire organization, but only in specific scenarios,” Microsoft’s CVP for Microsoft 365, Jared Spataro, writes in today’s announcement.
Because it’s a specialty product, Microsoft will also raise the price for Office Professional Plus, Office Standard, and the individual Office apps by up to 10%.
“To fuel the work of the future, we need the power of the cloud,” writes Spataro. “The cloud is where we invest, where we innovate, where we discover the solutions that help our customers empower everyone in their organization – even as we all adjust to a new world of work. But we also acknowledge that some of our customers need to enable a limited set of locked-in-time scenarios, and these updates reflect our commitment to helping them meet this need.”
If you have one of these special use cases, the price increase will not likely deter you and you’ll likely be happy to hear that Microsoft is committing to another release in this long-term channel in the future, too.
As for the new features in this release, Spataro notes that will have dark mode support, new capabilities like Dynamic Arrays and XLOOKUP in Excel, and performance improvements across the board. One other change worth calling out is that it will not ship with Skype for Business but the Microsoft Teams app (though you can still download Skype for Business if you need it).
Source: https://techcrunch.com/2021/02/18/microsoft-announces-the-next-perpetual-release-of-office/
Photomath, the popular mobile app that helps you solve equations, has raised a $23 million Series B funding round led by Menlo Ventures. The app is a massive consumer success, and chances are you might already know about it if you have a teenager in your household.
The app lets you point your phone’s camera at a math problem. It recognizes what’s written and gives you a step-by-step explanation to solve the problem. You might think that it’s the perfect app for lazy students.
But there are many different use cases for Photomath. For instance, you can write an equation in your notebook and use Photomath to draw a graph.
Typing an equation on a keyboard is quite difficult. That’s why bridging the gap between the physical world and your smartphone is key to Photomath’s success. You can just grab a pen and write something down on a piece of paper. Essentially, it’s an AR calculator.
GSV Ventures, Learn Capital, Cherubic Ventures and Goodwater Capital are also participating in today’s funding round.
Behind the app’s success, there’s an interesting story. Photomath was originally designed as a demo app for another company called MicroBlink. At the time, the team was working on text recognition technology. It planned to sell its core technology to other companies that might find it useful.
In 2014, they pitched MicroBlink at TechCrunch Disrupt in London. And things changed drastically overnight as Photomath reached the first spot of the iOS App Store.
Photomath has now attracted over 220 million downloads. As of this writing, it is still #59 in the U.S. App Store, one rank above Tinder. Other companies tried to build competitors, but it seems like they didn’t manage to crush the tiny European startup.
The app seems even more relevant as many kids are spending more time studying at home. They can’t simply raise their hand to call the teacher for some help.
Photomath is free and users can optionally pay for Photomath Plus, a premium version with more features, such as dynamic illustrations and animated tutorials.
