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Posts tagged "powerful"

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YouTube reveals powerful new AI tools for content creators – and we’re scared, frankly
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YouTube has announced a whole bunch of AI-powered tools (on top of its existing bits and pieces) that are designed to make life easier for content creators on the platform.

As The Verge spotted, at the ‘Made on YouTube’ event which just took place, one of the big AI revelations made was something called ‘Dream Screen’, an image and video generation facility for YouTube Shorts.

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This lets a video creator just type in something that they’d like for a background. Such as, for example, a panda drinking a cup of coffee – given that request, the AI will take the reins and produce such a video background for the clip (or image).

This is how the process will be implemented to begin with – you prompt the AI, and it makes something for you – but eventually, creators will be able to remix content to produce something new, we’re told.

YouTube Studio is also getting an infusion of AI tools that will suggest content that could be made by individual creators, generating topic ideas for videos that might suit them, based on what’s trending with viewers interested in the kind of content that creator normally deals in.

A system of AI-powered music recommendations will also come into play to furnish audio for any given video.

Analysis: Grab the shovel?

Is it us, or does this sound rather scary? Okay, so content creators may find it useful and convenient to be able to drop in AI generated video or image backgrounds really quickly, and have some music layered on top, and so on.

But isn’t this going to just ensure a whole heap of bland – and perhaps homogenous – content flooding onto YouTube? That seems the obvious danger, and maybe one compounded by the broader idea of suggested content that people want to see (according to the great YouTube algorithm) being provided to creators on YouTube.

Is YouTube set to become a video platform groaning under the collective weight of content that gets quickly put together, thanks to AI tools, and shoveled out by the half-ton?

While YouTube seems highly excited about all these new AI utilities and tools, we can’t help but think it’s the beginning of the end for the video site – at least when it comes to meaningful, not generic, content.

We hope we’re wrong, but this whole brave new direction fills us with trepidation more than anything else. A tidal wave of AI-generated this, that, and the other, eclipsing everything else is clearly a prospect that should be heavily guarded against.

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Google Bard update reveals a more powerful AI – but it might scare privacy purists
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Google has built a new model for Bard which it is calling the most capable iteration of the AI yet.

Google provided an update on the new version of Bard which it calls “more intuitive, imaginative and responsive than ever before,” offering greater levels of quality and accuracy in the chatbot’s responses.

A whole bunch of new features have been brought into the mix for Bard, and that starts with support for 40+ languages, and some tight integration with existing Google products elsewhere.

That includes giving Bard the ability to get its hooks into your emails in Gmail, and data in Google Drive and Docs, meaning you can get the AI to find info across your various files, or indeed summarize a piece of content if needed.

Bard will also be able to pull data in real-time as needed from Google Maps, Google’s travel features (hotels and flights), and YouTube, all of which will be extensions that are enabled by default (you can disable them if you wish, but they’re switched on by default in the new Bard).

Another big move here is the ability to check Bard’s answers. Not too sure about any given response from the AI? A ‘Google It’ button can be clicked to bring up additional info around any query, which is drawn from Google search (where supported), so you can check for yourself to see if there’s any doubt, or difference of opinion, elsewhere online compared to what Bard is telling you.

A further fresh introduction gives Bard users the ability to share a conversation via a public link, allowing others to continue that conversation with Google’s AI themselves, should they wish.

Analysis: The distant but distinct sound of alarm bells

This is indeed a major update for Bard, and there are some useful elements in here for sure. Better quality and accuracy, and the ability to check Bard’s responses, are obviously welcome features.

Some other stuff will set some alarm bells ringing for folks, particularly the more privacy-conscious out there. Do you really want Bard’s tendrils snaking into every corner of your Google Drive, Docs, and Gmail? Doesn’t that sound like the beginning of a scenario of a nightmarish overreach from the AI?

Well, Google is pretty careful here to clarify that your personal data absolutely isn’t being hoovered up to train Bard in any way. As the company puts it: “Your Google Workspace data won’t be used to train Bard’s public model and you can disable access to it at any time.”

So, the only use of the data will be to furnish you with convenient replies to queries, and that could be pretty handy. Know you’ve got a document somewhere on a certain topic, but can’t remember where it is in your Google account, or what it’s called? You should be able to prompt Bard to find it for you.

Don’t like the idea of Bard accessing your stuff in any way, shape, or form? Then you don’t have to use these abilities, they can be switched off (and the mentioned extensions don’t have to be enabled). Indeed, whatever assurances Google makes about Bard not snuffling around in your data for its own purposes, there will be folks immediately reaching for the ‘off’ switch in these cases, you can absolutely bank on it.

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Apple makes Safari more private on the iPhone with iOS 17’s powerful new feature
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Apple is striking another blow in the name of privacy by adding Link Tracking Protection to select iOS 17 apps, which will make it easier for users to keep their data private while browsing the web on their iPhone.

Link tracking identifiers are a collection of numbers and letters typically appended towards the end of a link as a way for websites to keep track of users as they move around the web. It’s most often used for ad tracking, as well as a substitute for third-party cookies. When Apple’s iOS 17 rolls out, Link Tracking Protection will prevent advertisers from bypassing privacy features simply because they are typically targeted toward cookies. It'll be enabled on Mail, Messages, and Safari's Private Browsing mode.

It is worth noting that you can still remove link-tracking identifiers by yourself by selecting and deleting the offending characters. However, with the identifiers often being quite long, many users simply wouldn’t bother, and Apple is just streamlining the otherwise tedious process.

“Privacy is designed into every new Apple product and feature from the beginning,” Craig Federighi, Apple’s senior vice president of Software Engineering, said in a press release announcing the feature. “We are focused on keeping our users in the driver’s seat when it comes to their data by continuing to provide industry-leading privacy features and the best data security in the world.

“This approach is evident in a number of features on our platforms, like the major updates to Safari Private Browsing, as well as the expansion of Lockdown Mode.”

A more private iOS

Compared to rival operating system Android, iOS has always been the more privacy and security-focused option, and iOS 17 furthers that. Apple put a stop to AirDrop flashing with Communication Safety, preemptively halted explicit contact posters, and beefed up Safari’s Private Browsing with an additional level of authentication. These are all subtle yet meaningful improvements – something that could be said for the iOS 17 update as a whole.

Apple is currently testing iOS 17 for developers, with a public preview slated for July. A full release of iOS 17 is expected to start rolling out to the best iPhones around September, to coincide with the launch of the iPhone 15.

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Amazon says even AI isn’t powerful enough to stop fake reviews
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Amazon has renewed its war on fake reviews by developing new AI-powered tools to help tackle the problem, but the retail giant admits they aren't enough to solve the issue on their own.

In a new blog post, Dharmesh Mehta, who's Amazon's VP of Worldwide Selling Partner Services, writes “we must work together to stop the fake review brokers that are the source of most fake reviews”, calling on “private sector, consumer groups, and governments” to work together to stop the brokers.

What are these so-called 'fake review brokers'? Amazon says the brokers have become an industry in recent years, and have “evolved in an attempt to evade detection”. They work by approaching average consumers though websites, social media or encrypted messaging services and getting to them write fake reviews “in exchange for money, free products, or other incentives”.

Amazon says it's using increasingly sophisticated AI tools and machine learning to stem the tide. These fraud-detection programs apparently analyze thousands of data points, including sign-in activity and review history, to help spot fake reviews. The figures involved are pretty staggering; Amazon says that last year it blocked over 200 million suspected fake reviews in 2022, and sued over 10,000 Facebook group administrators. 

But Amazon's financial might and its increasingly sophisticated AI tools seemingly aren't enough to stop fake reviews. The retail giant says that because much of the misconduct happens outside of Amazon’s store “it can be more challenging to detect, prevent, and enforce these bad actors if we are acting alone”.

A hand holding an iPhone showing Amazon reviews

(Image credit: Amazon)

So Amazon has made a three-point plan to get some extra help. Firstly, it wants there to be more cross-industry sharing about fake review brokers and their various tactics and techniques. Secondly, it wants governments and regulators to use their authority more to take action against bad actors. 

And lastly, in a veiled nudge at Meta and other social media giants, it's asked that “all sites that could be used to facilitate this illicit activity should have robust notice and takedown processes”. Amazon wants to work with “these companies” (read Facebook, WhatsApp, Signal and more) to help improve their detection methods.

Whether or not these three steps are realistic remains to be seen, but the message from Amazon is clear – it doesn't think it can stem the tide of fake reviews on its own, and that's a problem for all of us. Until that improves, it's more important than ever to follow advice on how to spot fake Amazon reviews during Prime Day and other big shopping events.

How to spot fake Amazon reviews

A laptop screen on an orange background showing an Amazon review in the website ReviewMeta

Sites like ReviewMeta (above) can help you weed out suspicious reviews from an Amazon product’s rating (Image credit: Future)

We've been highlighting the problem of fake Amazon reviews for over a decade, and it's clear that the issue has become a game of whack-a-mole – while Amazon's tools have improved, the retail giant admits that the “tactics of fake review brokers have also evolved in an attempt to try to evade detection”.

This is a big problem for the average online shopper – in the UK, the consumer group Which? says that around one in seven reviews are fake. And that means you can be misled into buying poor-quality products.

Mehta's blog post is a reminder than even the world's biggest tech giants, and the latest AI technology, aren't powerful enough to stop fake reviews. And that means we all need to be increasingly savvy when shopping online.

As our in-depth guide to spotting fake Amazon reviews highlights, there are some simple red flags to look out for in product reviewers, including “overly promotional language, repeated reviews, and reviews for an entirely different product”. 

But there are also handy third-party tools like ReviewMeta and FakeSpot (which was recently bought by the Firefox owner Mozilla) that can help you use AI to detect fake reviews and scams. These allow you paste in Amazon product URLs to get an analysis of the reviews or use Chrome extensions for a quick check.

While Amazon's three-point call-out for outside help is understandable, recent history suggests that progress is going to be slow – which means we'll all need to remain on guard when doing our online shopping, particularly during big events like Amazon Prime Day 2023.

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