Month: July 2024

Perplexity will put ads in its AI search engine and share revenue with publishers

When people type a question into Perplexity, the two-year-old search engine scours the internet and uses information from multiple sources, including online publishers, to synthesize an answer using AI. Soon, Perplexity will start sharing revenue with some publishers as part of an advertising platform it plans to launch around the end of September, the company announced on Tuesday.
The initiative, known as the Perplexity Publishers’ Program, comes less than two months after the San Francisco-based startup backed by investors like Jeff Bezos and NVIDIA, and valued at $3 billion, came under fire from Forbes, Wired, and Condé Nast for allegedly scraping content without permission and ignoring robots.txt, a type of file that websites use to block page-crawling bots.
Perplexity’s initial partners include TIME, Fortune, The Texas Tribune, Der Spiegel and Automattic, the company behind WordPress.com. It’s not clear exactly how much revenue Perplexity will share with publishers. Dmitry Shevelenko, the company’s chief business officer, declined to reveal numbers but told Engadget that it would be a “meaningful double-digit percentage shared back with the publishers that contributed source input to the answer.” He also said that the partnership would extend across multiple years without specifying how many. What this wasn’t, Shevelenko insisted repeatedly, was a response to the critical press coverage in the last few months. “We’ve been talking to publishers since January,” he claimed. “No aspect of this program is reactive to these recent accusations.”
For months, publishers around the world have been concerned about the potential of AI-powered search engines and chatbots to decimate traffic by simply sucking up their content and using it to provide people with answers directly instead of having to actually visit their websites. Google has followed suit too — the company now sources answers from search results and displays AI-generated versions at the top of the page. But so far, it doesn’t compensate publishers.
“[Our revenue share] is certainly a lot more than Google’s revenue share with publishers, which is zero,” Shevelenko said. “The idea here is that we’re making a long-term commitment. If we’re successful, publishers will also be able to generate this ancillary revenue stream.” Perplexity, he pointed out, was the first AI-powered search engine to include citations to sources when it launched in August 2022, although the company reportedly redesigned its user interface to show them more prominently after being called out by Forbes in June.
AI companies like OpenAI have struck deals with major publishers including TIME, News Corp, Vox, Axel Springer, the Financial Times and others to use their content to train AI models, writing checks ranging from $5 million to $250 million. Perplexity’s revenue-sharing program, however, is different: instead of writing publishers large checks, Perplexity plans to share revenue each time the search engine uses their content in one of its AI-generated answers. The search engine has a “Related” section at the bottom of each answer that currently shows follow-up questions that users can ask the engine. When the program rolls out, Perplexity plans to let brands pay to show specific follow-up questions in this section. Shevelenko told Engadget that the company is also exploring more ad formats such as showing a video unit at the top of the page. “The core idea is that we run ads for brands that are targeted to certain categories of query,” he said.
Perplexity
This makes sense for Perplexity because it does not train its own AI models. Instead, it lets users choose from leading AI models like OpenAI’s GPT-4o, Anthropic’s Claude 3.5 Sonnet and Meta’s Llama 3.1 to summarize answers from the web. “It’s very simple,” Shelevenko said, “if we’re making money and a publisher’s content was used on that ad impression, the publisher will get a cut of that revenue.”
But without knowing how much percentage of ad revenue Perplexity plans to split with publishers, it’s unclear whether the move will help publishers make up for any revenue lost due to declining traffic as AI-generated search engines and chatbots become more popular. And breaking into an online advertising business dominated by Google and Meta isn’t easy. “Setting up an ads business takes time,” Toshit Panigrahi, founder of Tollbit, a startup that lets publishers monetize content by offering it to AI companies for a fee they can set themselves, told Engadget. “Publishers are expected to hand over content today in the hopes that Perplexity sets up a successful ads business and cuts them in.”
Shevelenko refused to comment on the recent controversies that Perplexity has been involved in with publishers but acknowledged that onboarding them had become harder in the last few months. “Some [of our conversations] were in a great place,” he said, “and then the bad press hit and then they kind of, you know raised more questions.”This article originally appeared on Engadget at https://www.engadget.com/perplexity-will-put-ads-in-its-ai-search-engine-and-share-revenue-with-publishers-130052289.html?src=rss

When people type a question into Perplexity, the two-year-old search engine scours the internet and uses information from multiple sources, including online publishers, to synthesize an answer using AI. Soon, Perplexity will start sharing revenue with some publishers as part of an advertising platform it plans to launch around the end of September, the company announced on Tuesday.

The initiative, known as the Perplexity Publishers’ Program, comes less than two months after the San Francisco-based startup backed by investors like Jeff Bezos and NVIDIA, and valued at $3 billion, came under fire from Forbes, Wired, and Condé Nast for allegedly scraping content without permission and ignoring robots.txt, a type of file that websites use to block page-crawling bots.

Perplexity’s initial partners include TIME, Fortune, The Texas Tribune, Der Spiegel and Automattic, the company behind WordPress.com. It’s not clear exactly how much revenue Perplexity will share with publishers. Dmitry Shevelenko, the company’s chief business officer, declined to reveal numbers but told Engadget that it would be a “meaningful double-digit percentage shared back with the publishers that contributed source input to the answer.” He also said that the partnership would extend across multiple years without specifying how many. What this wasn’t, Shevelenko insisted repeatedly, was a response to the critical press coverage in the last few months. “We’ve been talking to publishers since January,” he claimed. “No aspect of this program is reactive to these recent accusations.”

For months, publishers around the world have been concerned about the potential of AI-powered search engines and chatbots to decimate traffic by simply sucking up their content and using it to provide people with answers directly instead of having to actually visit their websites. Google has followed suit too — the company now sources answers from search results and displays AI-generated versions at the top of the page. But so far, it doesn’t compensate publishers.

“[Our revenue share] is certainly a lot more than Google’s revenue share with publishers, which is zero,” Shevelenko said. “The idea here is that we’re making a long-term commitment. If we’re successful, publishers will also be able to generate this ancillary revenue stream.” Perplexity, he pointed out, was the first AI-powered search engine to include citations to sources when it launched in August 2022, although the company reportedly redesigned its user interface to show them more prominently after being called out by Forbes in June.

AI companies like OpenAI have struck deals with major publishers including TIME, News Corp, Vox, Axel Springer, the Financial Times and others to use their content to train AI models, writing checks ranging from $5 million to $250 million. Perplexity’s revenue-sharing program, however, is different: instead of writing publishers large checks, Perplexity plans to share revenue each time the search engine uses their content in one of its AI-generated answers. The search engine has a “Related” section at the bottom of each answer that currently shows follow-up questions that users can ask the engine. When the program rolls out, Perplexity plans to let brands pay to show specific follow-up questions in this section. Shevelenko told Engadget that the company is also exploring more ad formats such as showing a video unit at the top of the page. “The core idea is that we run ads for brands that are targeted to certain categories of query,” he said.

Perplexity

This makes sense for Perplexity because it does not train its own AI models. Instead, it lets users choose from leading AI models like OpenAI’s GPT-4o, Anthropic’s Claude 3.5 Sonnet and Meta’s Llama 3.1 to summarize answers from the web. “It’s very simple,” Shelevenko said, “if we’re making money and a publisher’s content was used on that ad impression, the publisher will get a cut of that revenue.”

But without knowing how much percentage of ad revenue Perplexity plans to split with publishers, it’s unclear whether the move will help publishers make up for any revenue lost due to declining traffic as AI-generated search engines and chatbots become more popular. And breaking into an online advertising business dominated by Google and Meta isn’t easy. “Setting up an ads business takes time,” Toshit Panigrahi, founder of Tollbit, a startup that lets publishers monetize content by offering it to AI companies for a fee they can set themselves, told Engadget. “Publishers are expected to hand over content today in the hopes that Perplexity sets up a successful ads business and cuts them in.”

Shevelenko refused to comment on the recent controversies that Perplexity has been involved in with publishers but acknowledged that onboarding them had become harder in the last few months. “Some [of our conversations] were in a great place,” he said, “and then the bad press hit and then they kind of, you know raised more questions.”

This article originally appeared on Engadget at https://www.engadget.com/perplexity-will-put-ads-in-its-ai-search-engine-and-share-revenue-with-publishers-130052289.html?src=rss

Read More 

Dashlane reveals the sites getting on board with passkeys the best

Passkeys are here to stay, and these are the sites spearheading their adoption

Dashlane, creator of one of the best password managers around, has new research examining which major websites are best adapting to the use of passkey technology.

Passkeys are an alternative form of two-factor authentication which use a cryptographic key stored on a personal device, which is then usually verified using biometric data such as a fingerprint or facial recognition.

Passkeys are phishing and brute-force resistant and even if an attacker has the device that contains your passkey, they cannot use it, making passkeys an excellent alternative to passwords.

Which websites want passkeys?

The results of the inaugural Passkey Report lay bare the domains and industries paving the way for passkeys.

Consumers are largely driving passkey adoption, with websites in frequent use such as social media sites, finance and payment sites, and ecommerce, with Amazon, Target and eBay in the top four fastest growing passkey domains since Q2 2024 – highlighting the significant driving force of ecommerce sites.

Within the finance industry, sites such as Coinbase, Binance, Moneybird, and Stripe lead the pack with more of a focus on enhancing the security of their sites than the consumer push. Finance and payment sites are a lucrative target for attackers, especially those that offer cryptocurrency wallets. Securing these sites is therefore of paramount importance to protect both the revenue and reputation of each brand.

When split into industries, ecommerce makes up 41.7% of the sites driving passkey adoption, followed by software services at 19.9% and finance and payments at 14.4%. Dashlane cites a FIDO study that states the average US consumer gives up on a purchase or stops using an online service around 4.76 times per day because they forget their password. By introducing passwordless access, websites can capitalize on lost revenue.

Dashlane also notes that passkey authentications using their service have grown by more than 400% since the start of the year, growing to 200,000 authentications per month.

“The user friction caused by forgotten passwords and password resets costs businesses millions in lost revenue and time,” noted John Bennett, CEO of Dashlane. “Compromised and weak passwords remain at the heart of most breaches, causing immense financial and reputational harm.”

More from TechRadar Pro

Take a look at our guide to the best identity theft protectionThe three cybersecurity blind spots affecting today’s CISOsThese are the best employee background check services

Read More 

I Have 55 Pairs of Sneakers and Counting. Here’s How I Buy Them Without Blowing My Budget

Personal finance is my job. The tricks I’ve learned help me afford my hobby.

Personal finance is my job. The tricks I’ve learned help me afford my hobby.

Read More 

Perplexity is cutting checks to publishers following plagiarism accusations

Image: The Verge

Perplexity is launching a program to share ad revenue with publishing partners following weeks of plagiarism accusations.
Perplexity’s “Publishers’ Program” has recruited its first batch of partners, including prominent names like Time, Der Spiegel, Fortune, Entrepreneur, The Texas Tribune, and Automattic (with WordPress.com participating but not Tumblr). Under this program, when Perplexity features content from these publishers in response to user queries, the publishers will receive a share of the ad revenue. Publishing partners will also get a free one-year subscription to Perplexity’s Enterprise Pro tier and access to Perplexity’s developer tools, plus insights through Scalepost.ai, a new AI startup that helps secure partnerships between AI companies and publishers, such as how frequently their articles appear in search queries.
Dmitry Shevelenko, Perplexity’s chief business officer, declined to share exact deal terms but said that the revenue share is a multiyear agreement with a “double-digit percentage,” consistent across all publishers, with especially favorable terms for the initial partners. Perplexity spokesperson Sara Platnick added that payments are made on a per-source basis, meaning publishers are compensated for each article used in responses. The program will temporarily provide cash advances on revenue to publishers as Perplexity builds a long-term advertising model. The advances aren’t a licensing fee for content like OpenAI’s deals.
“It’s a much better revenue split than Google, which is zero,” Automattic CEO Matt Mullenweg told me via direct message. The publishing agreement doesn’t cover WordPress.org, but Automattic will be sending payments to direct customers of WordPress.com. “The amount, I don’t know! Probably small to start because they don’t make much revenue now, but if Perplexity is the next Google, which I think it has a chance of being, these numbers could become meaningful and we’re looking to help publishers get paid in every way we can.”
This new program comes a month after a Forbes editor found the publication’s paywalled reporting plagiarized in Perplexity’s new product, Pages, an AI-powered tool that lets users create a report or article based on prompts. The AI-generated version of the Forbes story, along with an AI-generated Perplexity podcast of the story, was then sent to subscribers via a mobile push notification, Forbes reported. Wired then published an investigation that found Perplexity’s AI was “paraphrasing WIRED stories, and at times summarizing stories inaccurately and with minimal attribution.” Forbes has since threatened legal action against Perplexity.
Still, taking content for free doesn’t seem like a moral issue to Perplexity
Shevelenko told me the company started work on this program back in January, well before the blowback, saying the team took inspiration from X’s ad revenue sharing program. Perplexity planned to launch this program last month amid the drama but decided to hold off until now, he said. I asked him if this was a well-timed apology tour or if it was just a stopgap to prevent lawsuits. “We don’t want people saying nasty things about us more than we don’t want to get sued,” Shevelenko said.
Shevelenko says it’s “not great” that people think of Perplexity as plagiarizing journalists’ work, particularly as “an aspiring consumer brand.” He also thinks the accusation isn’t quite fair, saying that people have been “tricking” the service’s AI to get these plagiarized results. Still, scraping and reprinting content doesn’t seem like a moral issue to Perplexity. Shevelenko said, “There’s intricacies of fair use and copyright law where we feel we’re kind of, you know, clearly within those bounds.”
For Perplexity, whether it is a way to make amends or not, the startup seems determined to set up long-term infrastructure to pay publishers for their content for as long as the company exists. Shevelenko said as much himself: “Obviously I’m not contemplating the scenario. But say, Perplexity dies and fails. You’re not losing anything, right? And if we’re successful, you’re riding in that upside.”
AI-powered search is more expensive than traditional search, so Perplexity needs to work quickly to cover the compute costs involved. In May, the startup raised $250 million at a $3 billion valuation. “We need advertising to be successful because it is going to be our main business model,” Shevelenko said.
Paying publishers only adds to the costs, and Perplexity is aware it isn’t the norm for a search tool. “By the way, our investors don’t love that we’re doing this because they’re like, ‘Oh, we want you to have the same margin profile as Google,’” Shevelenko said, adding that Perplexity can’t compete with Google by mimicking their strategies. Instead, he says, the company wants to focus on building a profitable business by forming alliances with the media by creating the right long-term structures, like ad revenue sharing.
There’s also the looming threat of OpenAI, which just announced a prototype of its AI-powered search product, SearchGPT, alongside its own publishing partners like News Corp, The Atlantic, and The Verge’s parent company, Vox Media. It seems OpenAI has taken stock of Perplexity’s mistakes, too. In the announcement, the company said that publishers will have the ability to “manage how they appear in OpenAI search features” and can opt out of having their content used to train OpenAI’s models and still be surfaced in search.
Shevelenko said Perplexity is “happy to give publishers full control there” only “to the extent to which it doesn’t make the product ugly.” For now, offering that control is a “work in progress.” Most importantly, Perplexity wants to avoid giving publishers the ability to change the answers.
It seems like AI companies will use publishers’ content whether they agree or not. The business side of the media industry seems to believe that accepting the money, rather than laying off staff to afford lengthy legal battles, is the best option for now. The CEO of The Atlantic, which recently made a deal with OpenAI, said on an episode of The Verge’s Decoder that they weighed all the benefits of a partnership versus what it would cost to sue and how much they would get from it, “and then you make a choice.”
So, if Perplexity wants to cut publishers a check for using their content, I think that’s good, actually. But it doesn’t answer a lot of questions, like what that means for publishers that aren’t getting a check or if the deals will amount to meaningful resources for newsrooms. In the face of a growing technology backed by some of Silicon Valley’s most powerful, it doesn’t seem like the media has much of a choice.

Image: The Verge

Perplexity is launching a program to share ad revenue with publishing partners following weeks of plagiarism accusations.

Perplexity’s “Publishers’ Program” has recruited its first batch of partners, including prominent names like Time, Der Spiegel, Fortune, Entrepreneur, The Texas Tribune, and Automattic (with WordPress.com participating but not Tumblr). Under this program, when Perplexity features content from these publishers in response to user queries, the publishers will receive a share of the ad revenue. Publishing partners will also get a free one-year subscription to Perplexity’s Enterprise Pro tier and access to Perplexity’s developer tools, plus insights through Scalepost.ai, a new AI startup that helps secure partnerships between AI companies and publishers, such as how frequently their articles appear in search queries.

Dmitry Shevelenko, Perplexity’s chief business officer, declined to share exact deal terms but said that the revenue share is a multiyear agreement with a “double-digit percentage,” consistent across all publishers, with especially favorable terms for the initial partners. Perplexity spokesperson Sara Platnick added that payments are made on a per-source basis, meaning publishers are compensated for each article used in responses. The program will temporarily provide cash advances on revenue to publishers as Perplexity builds a long-term advertising model. The advances aren’t a licensing fee for content like OpenAI’s deals.

“It’s a much better revenue split than Google, which is zero,” Automattic CEO Matt Mullenweg told me via direct message. The publishing agreement doesn’t cover WordPress.org, but Automattic will be sending payments to direct customers of WordPress.com. “The amount, I don’t know! Probably small to start because they don’t make much revenue now, but if Perplexity is the next Google, which I think it has a chance of being, these numbers could become meaningful and we’re looking to help publishers get paid in every way we can.”

This new program comes a month after a Forbes editor found the publication’s paywalled reporting plagiarized in Perplexity’s new product, Pages, an AI-powered tool that lets users create a report or article based on prompts. The AI-generated version of the Forbes story, along with an AI-generated Perplexity podcast of the story, was then sent to subscribers via a mobile push notification, Forbes reported. Wired then published an investigation that found Perplexity’s AI was “paraphrasing WIRED stories, and at times summarizing stories inaccurately and with minimal attribution.” Forbes has since threatened legal action against Perplexity.

Still, taking content for free doesn’t seem like a moral issue to Perplexity

Shevelenko told me the company started work on this program back in January, well before the blowback, saying the team took inspiration from X’s ad revenue sharing program. Perplexity planned to launch this program last month amid the drama but decided to hold off until now, he said. I asked him if this was a well-timed apology tour or if it was just a stopgap to prevent lawsuits. “We don’t want people saying nasty things about us more than we don’t want to get sued,” Shevelenko said.

Shevelenko says it’s “not great” that people think of Perplexity as plagiarizing journalists’ work, particularly as “an aspiring consumer brand.” He also thinks the accusation isn’t quite fair, saying that people have been “tricking” the service’s AI to get these plagiarized results. Still, scraping and reprinting content doesn’t seem like a moral issue to Perplexity. Shevelenko said, “There’s intricacies of fair use and copyright law where we feel we’re kind of, you know, clearly within those bounds.”

For Perplexity, whether it is a way to make amends or not, the startup seems determined to set up long-term infrastructure to pay publishers for their content for as long as the company exists. Shevelenko said as much himself: “Obviously I’m not contemplating the scenario. But say, Perplexity dies and fails. You’re not losing anything, right? And if we’re successful, you’re riding in that upside.”

AI-powered search is more expensive than traditional search, so Perplexity needs to work quickly to cover the compute costs involved. In May, the startup raised $250 million at a $3 billion valuation. “We need advertising to be successful because it is going to be our main business model,” Shevelenko said.

Paying publishers only adds to the costs, and Perplexity is aware it isn’t the norm for a search tool. “By the way, our investors don’t love that we’re doing this because they’re like, ‘Oh, we want you to have the same margin profile as Google,’” Shevelenko said, adding that Perplexity can’t compete with Google by mimicking their strategies. Instead, he says, the company wants to focus on building a profitable business by forming alliances with the media by creating the right long-term structures, like ad revenue sharing.

There’s also the looming threat of OpenAI, which just announced a prototype of its AI-powered search product, SearchGPT, alongside its own publishing partners like News Corp, The Atlantic, and The Verge’s parent company, Vox Media. It seems OpenAI has taken stock of Perplexity’s mistakes, too. In the announcement, the company said that publishers will have the ability to “manage how they appear in OpenAI search features” and can opt out of having their content used to train OpenAI’s models and still be surfaced in search.

Shevelenko said Perplexity is “happy to give publishers full control there” only “to the extent to which it doesn’t make the product ugly.” For now, offering that control is a “work in progress.” Most importantly, Perplexity wants to avoid giving publishers the ability to change the answers.

It seems like AI companies will use publishers’ content whether they agree or not. The business side of the media industry seems to believe that accepting the money, rather than laying off staff to afford lengthy legal battles, is the best option for now. The CEO of The Atlantic, which recently made a deal with OpenAI, said on an episode of The Verge’s Decoder that they weighed all the benefits of a partnership versus what it would cost to sue and how much they would get from it, “and then you make a choice.”

So, if Perplexity wants to cut publishers a check for using their content, I think that’s good, actually. But it doesn’t answer a lot of questions, like what that means for publishers that aren’t getting a check or if the deals will amount to meaningful resources for newsrooms. In the face of a growing technology backed by some of Silicon Valley’s most powerful, it doesn’t seem like the media has much of a choice.

Read More 

Dashlane says passkey adoption has increased by 400 percent in 2024

Image: Dashlane

Password manager Dashlane has released a new passkey report that gives us some idea of how many people are adopting the cryptographic passwordless logins. According to the report, Dashlane has seen a 400 percent increase in passkey authentications since the beginning of the year, with 1 in 5 active Dashlane users now having at least one passkey in their Dashlane vault.
Over 100 sites now offer passkey support, though Dashlane says the top 20 most popular apps account for 52 percent of passkey authentications. When split into industry sectors, e-commerce (which includes eBay, Amazon, and Target) made up the largest share of passkey authentications at 42 percent. So-called “sticky apps” — meaning those used on a frequent basis, such as social media, e-commerce, and finance or payment sites — were the groups that saw the fastest passkey adoption between April and June of this year.

Image: Dashlane
Several platforms in the top 20, like eBay and Google, are “early adopters” of passkeys that were quick to back the technology.

Other domains show surprising growth, though — while Roblox is the only gaming category entry within the top 20 apps, its passkey adoption is outperforming giant platforms like Facebook, X, and Adobe, for example. Global payment processing platform Stripe is another notable standout, having made it into the top 10 apps for passkey adoption despite only rolling out support in May 2024.

Image: Dashlane
eBay is the most popular domain for passkeys, though Stripe is doing well considering support was only launched three months ago.

Image: Dashlane
E-commerce platforms dominate overall, making up almost half of all Dashlane’s passkey authentications.

Dashlane’s report also found that passkey usage increased successful sign-ins by 70 percent compared to traditional passwords. According to a report from the FIDO Alliance (the coalition behind the development of passkeys), people are abandoning purchases and attempts to sign in to services via passwords almost four times per month on average, a 15 percent increase between 2022 and 2023.
Google shared a similarly positive update in May, revealing that passkeys had been used over a billion times collectively by 400 million Google accounts. It’s good to see an increase in adoption rates, but we’re a long way off from replacing traditional passwords entirely.

Image: Dashlane

Password manager Dashlane has released a new passkey report that gives us some idea of how many people are adopting the cryptographic passwordless logins. According to the report, Dashlane has seen a 400 percent increase in passkey authentications since the beginning of the year, with 1 in 5 active Dashlane users now having at least one passkey in their Dashlane vault.

Over 100 sites now offer passkey support, though Dashlane says the top 20 most popular apps account for 52 percent of passkey authentications. When split into industry sectors, e-commerce (which includes eBay, Amazon, and Target) made up the largest share of passkey authentications at 42 percent. So-called “sticky apps” — meaning those used on a frequent basis, such as social media, e-commerce, and finance or payment sites — were the groups that saw the fastest passkey adoption between April and June of this year.

Image: Dashlane
Several platforms in the top 20, like eBay and Google, are “early adopters” of passkeys that were quick to back the technology.

Other domains show surprising growth, though — while Roblox is the only gaming category entry within the top 20 apps, its passkey adoption is outperforming giant platforms like Facebook, X, and Adobe, for example. Global payment processing platform Stripe is another notable standout, having made it into the top 10 apps for passkey adoption despite only rolling out support in May 2024.

Image: Dashlane
eBay is the most popular domain for passkeys, though Stripe is doing well considering support was only launched three months ago.

Image: Dashlane
E-commerce platforms dominate overall, making up almost half of all Dashlane’s passkey authentications.

Dashlane’s report also found that passkey usage increased successful sign-ins by 70 percent compared to traditional passwords. According to a report from the FIDO Alliance (the coalition behind the development of passkeys), people are abandoning purchases and attempts to sign in to services via passwords almost four times per month on average, a 15 percent increase between 2022 and 2023.

Google shared a similarly positive update in May, revealing that passkeys had been used over a billion times collectively by 400 million Google accounts. It’s good to see an increase in adoption rates, but we’re a long way off from replacing traditional passwords entirely.

Read More 

Perplexity details plan to share ad revenue with outlets cited by its AI chatbot

Perplexity AI will soon start sharing advertising revenue with news publishers when its chatbot surfaces their content in response to a user query, a move that appears designed to assuage critics that have accused the startup of plagiarism and unethical web scraping.  Dmitry Shevelenko, Perplexity’s head of business, told TechCrunch that the company was actually
© 2024 TechCrunch. All rights reserved. For personal use only.

Perplexity AI will soon start sharing advertising revenue with news publishers when its chatbot surfaces their content in response to a user query, a move that appears designed to assuage critics that have accused the startup of plagiarism and unethical web scraping.  Dmitry Shevelenko, Perplexity’s head of business, told TechCrunch that the company was actually […]

© 2024 TechCrunch. All rights reserved. For personal use only.

Read More 

Apple Used Google Tensor Chips to Develop Apple Intelligence

Apple used Tensor Processing Units (TPUs) developed by Google instead of Nvidia’s widely-used graphics processing units (GPUs) to construct two critical components of Apple Intelligence.

The decision is detailed in a new research paper published by Apple that highlights its reliance on Google’s cloud hardware (via CNBC). The paper reveals that Apple utilized 2,048 of Google’s TPUv5p chips to build AI models and 8,192 TPUv4 processors for server AI models. The research paper does not mention Nvidia explicitly, but the absence of any reference to Nvidia’s hardware in the description of Apple’s AI infrastructure is telling and this omission suggests a deliberate choice to favor Google’s technology.

The decision is noteworthy given Nvidia’s dominance in the AI processor market and since Apple very rarely discloses its hardware choices for development purposes. Nvidia’s GPUs are highly sought after for AI applications due to their performance and efficiency. Unlike Nvidia, which sells its chips and systems as standalone products, Google provides access to its TPUs through cloud services. Customers using Google’s TPUs have to develop their software within Google’s ecosystem, which offers integrated tools and services to streamline the development and deployment of AI models.

In the paper, Apple’s engineers explain that the TPUs allowed them to train large, sophisticated AI models efficiently. They describe how Google’s TPUs are organized into large clusters, enabling the processing power necessary for training Apple’s AI models. Apple has announced plans to invest over $5 billion in AI server enhancements over the next two years, which should bolster its AI capabilities and reduce its dependence on external hardware providers.

In addition to detailing its use of Google’s TPUs, the paper addresses ethical considerations in AI development. Apple emphasized its adherence to responsible data practices, claiming that no private user data was used in training its AI models. The company relied on a mix of publicly available, licensed, and open-sourced datasets for training purposes. Apple added that its training data set, which includes publicly available web data and licensed content, was curated to protect user privacy.Tags: Google, Artificial Intelligence, Nvidia, Apple IntelligenceThis article, “Apple Used Google Tensor Chips to Develop Apple Intelligence” first appeared on MacRumors.comDiscuss this article in our forums

Apple used Tensor Processing Units (TPUs) developed by Google instead of Nvidia’s widely-used graphics processing units (GPUs) to construct two critical components of Apple Intelligence.

The decision is detailed in a new research paper published by Apple that highlights its reliance on Google’s cloud hardware (via CNBC). The paper reveals that Apple utilized 2,048 of Google’s TPUv5p chips to build AI models and 8,192 TPUv4 processors for server AI models. The research paper does not mention Nvidia explicitly, but the absence of any reference to Nvidia’s hardware in the description of Apple’s AI infrastructure is telling and this omission suggests a deliberate choice to favor Google’s technology.

The decision is noteworthy given Nvidia’s dominance in the AI processor market and since Apple very rarely discloses its hardware choices for development purposes. Nvidia’s GPUs are highly sought after for AI applications due to their performance and efficiency. Unlike Nvidia, which sells its chips and systems as standalone products, Google provides access to its TPUs through cloud services. Customers using Google’s TPUs have to develop their software within Google’s ecosystem, which offers integrated tools and services to streamline the development and deployment of AI models.

In the paper, Apple’s engineers explain that the TPUs allowed them to train large, sophisticated AI models efficiently. They describe how Google’s TPUs are organized into large clusters, enabling the processing power necessary for training Apple’s AI models. Apple has announced plans to invest over $5 billion in AI server enhancements over the next two years, which should bolster its AI capabilities and reduce its dependence on external hardware providers.

In addition to detailing its use of Google’s TPUs, the paper addresses ethical considerations in AI development. Apple emphasized its adherence to responsible data practices, claiming that no private user data was used in training its AI models. The company relied on a mix of publicly available, licensed, and open-sourced datasets for training purposes. Apple added that its training data set, which includes publicly available web data and licensed content, was curated to protect user privacy.

This article, “Apple Used Google Tensor Chips to Develop Apple Intelligence” first appeared on MacRumors.com

Discuss this article in our forums

Read More 

Canva boosts generative AI capabilities in Leonardo.AI acquisition

Graphic design platform Canva has acquired Leonardo.AI in a bid to expand its generative AI capabilities. Running since 2012, and… Continue reading Canva boosts generative AI capabilities in Leonardo.AI acquisition
The post Canva boosts generative AI capabilities in Leonardo.AI acquisition appeared first on ReadWrite.

Graphic design platform Canva has acquired Leonardo.AI in a bid to expand its generative AI capabilities.

Running since 2012, and now with over 100 million users, Canva is used as a graphic design platform by both individuals and companies. While it had introduced some of its own in-house generative AI tools with a text-to-image generator, it seems the company is keen to expand on those possibilities down the line, if its recent acquisition is anything to go by.

Australia’s largest privately held technology company announced it had struck a deal to purchase the fast-growing Leonardo.AI, a generative AI platform, on Tuesday (July, 30) This would boost Canva’s AI capabilities ahead of its IPO, expected to happen sometime in 2025. No financial terms of the acquisition have yet been made public.

What is Leonardo.AI?

Founded in December 2022, Leonardo.AI is a relatively new company even for the AI space. The company raised $47 million of local Australian investment in Australia last December, featuring investors like Blackbird Ventures and Side Stage Ventures.

Leonardo.AI boasts 19 million users and is effective enough to compete with big names in generative AI like Midjourney and OpenAI’s Dall E. It was already in the process of raising more funding in a second round before accepting the Canva acquisition.

We’re thrilled to announce our plans to join forces with @Canva, which will supercharge the speed & scale that we’re building https://t.co/LlErGl3jwe. pic.twitter.com/l23r3N2reY

— Leonardo.Ai (@LeonardoAi_) July 30, 2024

It’s thought that Leonardo.AI co-founded and CEO JJ Fiassion met Canva co-founder Cliff Obrecht through Blackbird Ventures, with a meeting taking place between the pair of them earlier this year. A major appeal for the acquisition was when Leonardo.AI revealed Phoenix, its own foundation AI model.

The model prides itself on responding to long detailed prompts effectively, creating coherent text (something lots of generative AI tools struggle with), and rapid on-the-go editing using short-form phrases and prompts. This blends well with Canva’s streamlined approach and would likely be easy to incorporate into the graphic design platform alongside its tools. There’s no confirmation from Canva that this is the plan but it seems a likely reason for the acquisition, particularly as competitors like Adobe are ramping up generative AI tools.

Featured image: Ideogram

The post Canva boosts generative AI capabilities in Leonardo.AI acquisition appeared first on ReadWrite.

Read More 

Fertility tracking app Flo Health raises $200M at a $1B+ valuation

Femtech, or tech that leverages innovations in AI, smartphones and connected wearables to give women more insights into reproductive and menstrual health, continues to gain momentum with users, and investors are following.  London-based Flo Health, a fertility-focused period-tracking app, on Tuesday said it has raised a $200 million Series C from General Atlantic. The funding
© 2024 TechCrunch. All rights reserved. For personal use only.

Femtech, or tech that leverages innovations in AI, smartphones and connected wearables to give women more insights into reproductive and menstrual health, continues to gain momentum with users, and investors are following.  London-based Flo Health, a fertility-focused period-tracking app, on Tuesday said it has raised a $200 million Series C from General Atlantic. The funding […]

© 2024 TechCrunch. All rights reserved. For personal use only.

Read More 

Scroll to top
Generated by Feedzy