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Meta won’t say whether it’s training AI on photos wearing smart glasses

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The AI-powered Meta Ray-Bans have a discreet front-facing camera that allows you to take photos not only whenever you ask, but in addition when the AI ​​features trigger them with specific keywords, corresponding to “see.” This signifies that smart glasses collect a variety of photos, each intentionally and unintentionally taken. But the corporate is not going to commit to keeping these photos private.

We asked Meta if it plans to coach artificial intelligence models on photos of Meta’s Ray-Ban users, because it does with photos from public social media accounts. The company would not say.

“We don’t discuss this publicly,” Anuj Kumar, a senior director working on AI-powered wearables at Meta, said in a video interview with TechCrunch on Monday.

“We don’t normally share this externally,” said Meta spokeswoman Mimi Huggins, who also participated within the video call. When TechCrunch asked for clarification on whether Meta was training on these images, Huggins replied: “We’re not saying otherwise.”

This is especially concerning because, amongst other things, Ray-Ban Meta has a brand new artificial intelligence feature that captures many passive photos. Last week, TechCrunch reported that Meta plans to launch a brand new real-time video feature for Ray-Ban Meta. When activated with specific keywords, the smart glasses will stream a series of images (essentially live video) to the multimodal AI model, enabling it to reply questions on its surroundings in a low-latency and natural manner.

That’s a variety of photos, they usually are photos that a Ray-Ban Meta user will not be aware of taking. Let’s say you asked your smart glasses to scan the contents of your closet to enable you to select an outfit. The glasses effectively take dozens of photos of your room and all the pieces in it and upload all of them to an AI model within the cloud.

What then happens to those photos? The meta won’t tell.

Wearing Ray-Ban Meta glasses also signifies that you might be wearing a camera on your face. As we discovered with Google Glass, it’s not something other people universally agree on, to say the least. So you would possibly think that it will be obvious for an organization that does this to say, “Hey! All your face camera photos and videos will likely be completely private and hidden in face camera.

But that is not what Meta is doing here.

Meta has already declared that it’s training its AI models every American’s public posts on Instagram and Facebook. The company has decided that that is “publicly available data” and we can have to simply accept it. It and other tech corporations have adopted a really expansive definition of what’s publicly available for them to coach AI and what will not be.

But the world you have a look at through smart glasses is definitely not “publicly accessible.” While we won’t say obviously that Meta is training its AI models on Meta’s Ray-Ban camera footage, the corporate simply would not say with certainty that it is not.

Other AI model providers have more transparent policies regarding training on user data. Anthropic says it he never trains customer input or output from one in every of its AI models. OpenAI also says this he never trains user input or output via API.

We have reached out to Meta for further clarification and can update this story if we’re contacted.

This article was originally published on : techcrunch.com
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Google is introducing ads to AI reviews, expanding AI’s role in search

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The Google Inc. logo

Google will start showing ads in AI reviews, that are the AI-generated summaries it provides for certain Google Search queries, and will even add links to relevant web sites for a few of those summaries. AI-organized search results pages will even be available in the US this week.

The growing importance of artificial intelligence in Google’s core search engine is aimed toward keeping users from switching to alternatives comparable to ChatGPT or OpenAI’s Perplexity, which use artificial intelligence to answer lots of the questions traditionally asked to Google. Embarrassment he said in May that its worldwide user base had grown to over 85 million web visits, a drop in the bucket compared to Google, but impressive considering Perplexity launched just two years ago.

Since its launch this spring, AI Reviews has been the topic of much controversy, with its dubious claims and dubious advice (like adding glue to pizza) gaining huge popularity online. Recent report from the search engine marketing platform SE Ranking found that AI Reviews cites sites which might be “not completely trustworthy or evidence-based,” including outdated research and paid product listings.

The major problem is that AI Reviews sometimes has difficulty distinguishing whether a source of knowledge is fact or fiction, satire or serious matter. Over the past few months, Google has made changes to how AI Reviews work, including limiting responses related to current events and health topics. But the corporate doesn’t claim it’s perfect.

“We will invest in AI reviews to make them even more useful,” Rhiannon Bell, vice chairman of user experience at Google Search, said at a press conference. “We do everything we can to provide our users with relevant content.”

Separately, Google says AI Reviews has led to a rise in Google Search engagement, especially amongst 18- to 24-year-olds – a key demographic for the corporate.

Now Google is taking steps to monetize this feature by adding ads.

Image credits:Google

US mobile device users will soon see ads in AI Reviews with “relevant queries” comparable to how to remove grass stains from jeans. Ads labeled “Sponsored” will appear alongside other unsponsored content in AI summaries and can be pulled from advertisers’ existing campaigns on Shopping and the Google Search network.

AI Reviews ads have been available to select users for a while, and according to internal Google data, they’ve been well received.

“People have found AI advertising useful because it allows them to quickly connect with the right companies, products and services to take the next step exactly when they need it,” Shashi Thakur, vice chairman of Google Ads, wrote in a blog post shared with TechCrunch .

But ads also litter AI summaries. One of the formats, the carousel of sponsored product results, is embedded directly in AI summaries and placed in such a way that unsponsored content is pushed to the screen.

Search results organized by artificial intelligence
Image credits:Google

The recent look of AI Reviews that appears alongside ads adds highlighted links to web sites that could be relevant. For example, when you search “Do air filters protect your lungs?” AI Reviews may link to a study on air filters conducted by the American Lung Association.

The redesign was tested for several months and is currently being rolled out in regions where AI Overviews were already available, including India, Brazil, Japan, Mexico, the US and the UK

Finally, this week in the US, a separate product will debut on mobile devices – search results pages organized by artificial intelligence. Searches for recipes and meal inspiration – like “What are some good vegetarian snacks or dinner ideas that make an impression?” – can display an AI-aggregated page of content from across the web, including forums, articles and YouTube videos.

However, they are going to not include AI Reviews ad formats.

“The customized Gemini (model) generates an entire page of relevant and structured results,” Bell explained, referring to Google’s Gemini family of artificial intelligence models. “With AI-organized results pages, we are serving more diverse content formats from a more diverse set of content.”

Google says it plans to expand these pages to other search categories in the approaching months.

Publishers may suffer collateral damage.

One study found that AI reviews can negatively impacting roughly 25% of publisher traffic due to the reduced emphasis on website links. On the revenue side, an authority quoted by The New York Post estimated that AI-generated reviews could result in publisher losses of greater than $2 billion due to the resulting decline in ad impressions.

AI-generated search results from Google and competitors don’t yet appear to block traffic from large publishers. In their latest earnings, Ziff Davis and Dotdash Meredith – IAC parents characterised effects as negligible.

But which will change because Google which commands over 81% of the worldwide search market, expands AI overviews and AI organized pages for more users and queries. According to one estimateAI overviews only showed up for about 7% of searches in July, as Google re-targeted the feature to make changes.

Google says it continues to take publishers’ concerns under consideration during its AI-powered search workshops.

This article was originally published on : techcrunch.com
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Google Maps will display AI-powered review summaries in India

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Google is adding latest AI-powered features to Maps in India, including AI-powered summaries, the power to go looking for attractions, and weather alerts.

The Maps app will analyze reviews and display place summaries, he added. The company announced this on Thursday at Google’s annual India event.

Additionally, users will find a way to go looking Maps for items and attractions, corresponding to asking for “unique picnic spots” or “themed birthday cakes,” to search out cake vendors.

When people ask such questions, Google Maps will display images first, which will prioritize photos uploaded by businesses and users, the corporate says.

Google uses image recognition to associate labels or descriptions of places with such queries.

The company also said that while navigating, users will see latest weather alerts for areas with poor visibility because of fog and flooded roads.

The suite of latest features will be rolled out to users in India later this month. AI-powered review summaries debuted on Maps in the US in February. Google competitor Yelp also displays business summaries on its revamped feed in the USA

In July, Google added quite a few India-specific features to Google Maps, including higher navigation directions, higher navigation on overpasses and narrow roads, electric vehicle charging stations, and community-generated lists to find places in chosen cities.

This article was originally published on : techcrunch.com
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Judge blocks new California artificial intelligence law over Kamala Harris deepfake

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Deepfake or Deep Fake Concept as a symbol for misrepresenting or identity theft or faking identification and misrepresentation in a 3D illustration style.

A federal judge on Wednesday blocked considered one of California’s new artificial intelligence laws, lower than two weeks after Gov. Gavin Newsom signed it. Shortly after AB 2839 was signed into law, Newsom suggested it is likely to be something we would get used to force Elon Musk to take down Vice President Kamala Harris’s fake AI that he reposted (invoking a little web battle between them). But a California judge just ruled that the state cannot force people to remove fraudulent elections — not less than not yet.

AB 2839 targets distributors of faux AI content on social media, especially if their post resembles a politician and the sender knows it’s fake and will confuse voters. The law is exclusive in that it doesn’t goal the platforms where AI deepfakes appear, but relatively those that spread them. AB 2839 empowers California judges to order posters depicting AI deepfakes to be removed or face fines.

Perhaps unsurprisingly, the unique poster of this AI deepfake – an X user named Christopher Kohls – filed a lawsuit to dam the new California law as unconstitutional only a day after it was signed into law. Kohls’ lawyer wrote in: criticism that Kamala Harris’s hoax is satire that must be protected by the First Amendment.

On Wednesday, U.S. District Judge John Mendez sided with Kohls. Mendez ordered a preliminary injunction to dam the California attorney general from enforcing the new law against Kohls or anyone else, aside from the audio messages covered by AB 2839.

Read for yourself what Judge Mendez said his decision: :

“”

In essence, he ruled that the law was just too broad as written and will end in serious overreach by state authorities about what’s and will not be permitted.

Since it is a preliminary injunction, we’ll should wait and see if this California law is definitely blocked permanently, but either way it’s unlikely to have a significant impact on next month’s elections. AB 2839 is considered one of 18 new artificial intelligence bills that Newsom signed into law last month.

Nevertheless, it is a major victory for Elon Musk’s camp of free speech posters on X. In the times after Newsom signed AB 2839, Musk and his usual allies released AI deepfakes series who tested California’s new law.

This article was originally published on : techcrunch.com
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