Apple will release iOS 14 without this privacy feature: What iPhone users and developers need to know

The iOS 14, iPadOS 14, and tvOS 14 anti-tracking feature is on hold until early 2021 to give developers time to make the necessary changes, according to Apple.

Image: iStock/FlashMovie

Apple will release iOS 14 without a new anti-tracking feature. This privacy feature will make it more difficult for app creators to surveil people online with digital ads. Upon even a rudimentary examination, the anti-tracker feature is ultimately a good, if not necessary, addition for users, but it will only work optimally if used by astute, well-informed users.

As is often the case with the $2-trillion company, this news comes quite close to when it was scheduled to be released to the public: The anti-tracking feature announced at WWDC 2020 was expected to pop up as new free software for the roughly one billion iPhone users later this month. It was also designated to be included in the

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Microsoft Teams adds new Lists app to help you stay on top of everything

Microsoft Lists aims to make it easier than ever to track and prioritize work within Teams.

Microsoft calls Lists “simple, smart, and flexible”.

Image: Microsoft

Microsoft has added the Lists app to Teams for business and government customers. Lists is a
Microsoft 365

app announced by Microsoft during Build 2020. As the name implies, the app allows teams to create lists for tracking information across various projects and workloads, offering a combination of ready-made templates as well as custom lists that can be built from scratch, either from Excel tables or other sources, such as SharePoint. Lists data is stored in the SharePoint Online team site.

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Not to be confused with
Microsoft To Do or Tasks,

Microsoft Lists is accessed in Teams via the tabs bar. It includes eight standard templates and three industry-specific ones

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This know-it-all AI learns by reading the entire web nonstop

This is a problem if we want AIs to be trustworthy. That’s why Diffbot takes a different approach. It is building an AI that reads every page on the entire public web, in multiple languages, and extracts as many facts from those pages as it can.

Like GPT-3, Diffbot’s system learns by vacuuming up vast amounts of human-written text found online. But instead of using that data to train a language model, Diffbot turns what it reads into a series of three-part factoids that relate one thing to another: subject, verb, object.

Pointed at my bio, for example, Diffbot learns that Will Douglas Heaven is a journalist; Will Douglas Heaven works at MIT Technology Review; MIT Technology Review is a media company; and so on. Each of these factoids gets joined up with billions of others in a sprawling, interconnected network of facts. This is known as a

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