BBC Hits AI Startup Perplexity With Legal Threat Over Content Scraping Concerns
The BBC has sent a legal threat to Perplexity, citing allegations that the AI startup is scraping the British national broadcaster's content.
In one of its first major copyright interventions in the AI age, the BBC claimed that Perplexity's ChatGPT-style search tool was 'trained using BBC content.'
More from Deadline
BBC's BAFTA-Winning Doc Series 'Once Upon A Time In...' Turns Eye To Middle East
BBC Drafts In Consultant To Examine 'Breakfast' Bullying Allegations After Deadline Investigation
'Twenty Twenty Six': BBC Satire Series Officially Heading Stateside With Hugh Bonneville Reprising Role And Stephen Kunken, Paulo Costanzo & Chelsey Crisp Joining Cast
The corporation outlined its concerns in a letter seen by the Financial Times newspaper. The BBC confirmed that a legal warning had been issued, but declined to comment beyond the contents of the letter.
The broadcaster demanded that San Francisco-based Perplexity cease its use of BBC content, deletes copies of material, and offers 'financial compensation' for the alleged IP infringement.
Perplexity has been approached for comment. The company told the FT that the BBC's claims were 'manipulative and opportunistic,' showcasing a 'fundamental misunderstanding' of tech and IP laws.
Perplexity added that the BBC's legal letter shows 'how far the BBC is willing to go to preserve Google's illegal monopoly for its own self-interest.'
The BBC argued that elements of its content were being regurgitated verbatim by Perplexity and links to its website appeared in search results. It added that some information was reproduced with factual inaccuracies and missing context.
The BBC letter said: 'It is therefore highly damaging to the BBC, injuring the BBC's reputation with audiences — including UK licence fee-payers who fund the BBC — and undermining their trust in the BBC.'
In an interview at Bloomberg's Tech Summit this month, Perplexity CEO Aravind Srinivas said the AI tool had 30M queries a day and its growth had been 'phenomenal.'
'Give it a year, we'll be doing, like, a billion queries a week if we can sustain this growth rate,' Srinivas said. Perplexity's primary source of revenue is subscriptions, with users being asked to pay $20 a month to access Perplexity Pro.
Best of Deadline
2025-26 Awards Season Calendar: Dates For Tonys, Emmys, Oscars & More
'Stick' Soundtrack: All The Songs You'll Hear In The Apple TV+ Golf Series
'Stick' Release Guide: When Do New Episodes Come Out?

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Associated Press
14 minutes ago
- Associated Press
HackerNoon Publishes: Business Pros Underestimate AI Risks Compared to Tech Teams, Social Links Study Shows
New York, United States, June 20, 2025 -- HackerNoon, the independent tech publishing platform, published thefollowing release today. Text below: A new study from Social Links, a leader in open-source intelligence solutions, reveals a gap between business and technical professionals when it comes to recognizing the risks posed by AI-powered cyberattacks. Despite the rapid rise in threat sophistication, business respondents appear significantly less concerned thаn their tech colleagues. This fact highlights a potential blind spot in organizational preparedness. The survey gathered insights from 237 professionals (from CEO and Technical C-level to Cybersecurity Specialists and Product Managers) across various industries, including Financial Services, Technology, Manufacturing, Retail, Healthcare, Logistics, Government, etc. The results showed that just 27.8% of business people (professionals in non-technical, business-oriented roles) identified usage of AI to generate fake messages as one of the most relevant cyber threats. In contrast, 53.3% of technical professionals flagged it as a top concern—nearly double the level of alarm. A similar pattern emerged around deepfake technology: 46.7% of technical staff expressed concern, compared to just 27.8% of business respondents. This gap underscores a critical vulnerability in organizational security: business professionals, who often make prime targets for sophisticated AI-driven social engineering and deepfake schemes, show notably lower levels of concern or awareness about these threats. At the same time, the most vulnerable departments for cyber threats identified by respondents were Finance and Accounting (24.1%), IT and Development (21.5%), HR and Recruitment (15.2%), and Sales and Account Manаgement (13.9%). 'This is no longer a question of 'if'—AI-powered threats are already here and evolving quickly,' says Ivan Shkvarun, CEO of Social Links. 'We're seeing a clear gap between those building defenses and those most likely to be targeted. Bridging that gap requires not just better technical tools, but broader awareness and education across all levels of an organization.' Key Insights from the Research: Traditional vs. AI-Driven Threats: While phishing and email fraud remain the most cited threats (69.6%), followed by malware/ransomware (49.4%), AI-driven attacks are gaining ground. 39.2% of respondents identified the use of AI to craft fake messages and campaigns as a major concern, and 32.9% pointed to deepfakes and synthetic identities—confirming that generative technologies are now a recognized part of the corporate threat landscape. 'Traditional threats like phishing and malware still dominate the charts. But what we're seeing now is that AI isn't replacing these risks, it's supercharging them, turning generic scams into tailored operations—fast, cheap, and more convincing. That's the real shift: automation and personalization at scale,' explains Ivan. Employee Footprint Risk: 60.8% of respondents report that employees use corporate accounts for personal purposes—such as posting on forums, engaging on social media, or updating public profiles. 59.5% also link publicly available employee data (e.g., LinkedIn bios, activities in forums and blogs) to real cyber incidents, identifying it as a recurring entry point for attacks. Unregulated AI Adoption: Over 82% of companies let employees use AI tools at work, yet only 36.7% have a formal policy that controls how those tools are used. This gap fuels 'Shadow AI'—the unsanctioned adoption of chatbots, code assistants, or other AI services without IT oversight, which can leak sensitive data and create hidden security and compliance risks. 'You can't really stop people from using work accounts or data when they're active online. The same goes for AI tools: people will use them to save time or get help with tasks, whether there's a policy or not. But all this activity leaves digital traces. And those traces can make it easier for scammers to find and target employees. What actually helps is teaching people how to spot the risks and giving them the right tools to stay safe, instead of just saying 'don't do it,'' explains Ivan. The research emphasizes that effective cybersecurity in the AI era requires a holistic approach that extends beyond technical controls to include comprehensive human-centric security programs. Employee training on safe AI use was overwhelmingly perceived by survey respondents as the most effective mitigation measure for 'Shadow AI' (72.2%), followed by the development of internal policies (46.8%). Social Links is committed to addressing these evolving challenges and has recently launched the Darkside AI initiative, aimed at further exploring and mitigating the risks posed by advanced AI-driven threats. About Social Links Social Links is a global provider of open-source intelligence (OSINT) solutions, recognized as an industry leader by Frost & Sullivan. Headquartered in the United States, the company also has an office in the Netherlands. Social Links brings together data from over 500 open sources covering social media, messengers, blockchains, and the Dark Web, enabling users to visualize and analyze a comprehensive informational picture and streamline investigations. Its solutions support essential processes across various sectors, including law enforcement, national security, cybersecurity, due diligence, banking, and more. Companies from the S&P 500 and public organizations in over 80 countries rely on Social Links products every day. Contacts Email: [email protected] Website: Social Links About the company: How hackers start their afternoons. HackerNoon is built for technologists to read, write, and publish. We are an open and international community of 35k+ contributing writers publishing stories and expertise for 4M+ curious and insightful monthly readers. Founded in 2016, HackerNoon is an independent technology publishing platform run by David Smooke and Linh Dao Smooke. Start blogging about technology today. Contact Info: Name: Sheharyar Khan Email: Send Email Organization: HackerNoon Website: Release ID: 89162808 In case of identifying any errors, concerns, or inconsistencies within the content shared in this press release that necessitate action or if you require assistance with a press release takedown, we strongly urge you to notify us promptly by contacting [email protected] (it is important to note that this email is the authorized channel for such matters, sending multiple emails to multiple addresses does not necessarily help expedite your request). Our expert team is committed to addressing your concerns within 8 hours by taking necessary actions diligently to rectify any identified issues or supporting you with the removal process. Delivering accurate and reliable information remains our top priority.


The Verge
33 minutes ago
- The Verge
Meta held talks to buy Thinking Machines, Perplexity, and Safe Superintelligence
At this point, it's becoming easier to say which AI startups Mark Zuckerberg hasn't looked at acquiring. In addition to Ilya Sutskever's Safe Superintelligence (SSI), sources tell me the Meta CEO recently discussed buying ex-OpenAI CTO Mira Murati's Thinking Machines Lab and Perplexity, the AI-native Google rival. None of these talks progressed to the formal offer stage for various reasons, including disagreements over deal prices and strategy, but together they illustrate how aggressively Zuckerberg has been canvassing the industry to reboot his AI efforts. Now, details about the team Zuckerberg is assembling are starting to come into view: SSI co-founder and CEO Daniel Gross, along with ex-Github CEO Nat Friedman, are poised to co-lead the Meta AI assistant. Both men will report to Alexandr Wang, the former Scale CEO Zuckerberg just paid over $14 billion to quickly hire. Wang told his Scale team goodbye last Friday and was in the Meta office on Monday. This week, he has been meeting with top Meta leaders (more on that below) and continuing to recruit for the new AI team Zuckerberg has tasked him with building. I expect the team to be unveiled as soon as next week. Rather than join Meta, Sutskever, Murati, and Perplexity CEO Aravind Srinivas have all gone on to raise more money at higher valuations. Sutskever, a titan of the AI research community who co-founded OpenAI, recently raised a couple of billion dollars for SSI. Both Meta and Google are investors in his company, I'm told. Murati also just raised a couple of billion dollars. Neither she nor Sutskever is close to releasing a product. Srinivas, meanwhile, is in the process of raising around $500 million for Perplexity. Spokespeople for all the companies involved either declined to comment or didn't respond in time for publication. The Information and CNBC first reported Zuckerberg's talks with Safe Superintelligence, while Bloomberg first reported the Perplexity talks. While Zuckerberg's recruiting drive is motivated by the urgency he feels to fix Meta's AI strategy, the situation also highlights the fierce competition for top AI talent these days. In my conversations this week, those on the inside of the industry aren't surprised by Zuckerberg making nine-figure — or even, yes, 10-figure — compensation offers for the best AI talent. There are certain senior people at OpenAI, for example, who are already compensated in that ballpark, thanks to the company's meteoric increase in valuation over the last few years. Speaking of OpenAI, it's clear that CEO Sam Altman is at least a bit rattled by Zuckerberg's hiring spree. His decision to appear on his brother's podcast this week and say that 'none of our best people' are leaving for Meta was probably meant to convey a position of strength, but in reality, it looks like he is throwing his former colleagues under the bus. I was confused by Altman's suggestion that Meta paying a lot upfront for talent won't 'set up a great culture.' After all, didn't OpenAI just pay $6.5 billion to hire Jony Ive and his small hardware team? When I joined a Zoom call with Alex Himel, Meta's VP of wearables, this week, he had just gotten off a call with Zuckerberg's new AI chief, Alexandr Wang. 'There's an increasing number of Alexes that I talk to on a regular basis,' Himel joked as we started our conversation about Meta's new glasses release with Oakley. 'I was just in my first meeting with him. There were like three people in a room with the camera real far away, and I was like, 'Who is talking right now?' And then I was like, 'Oh, hey, it's Alex.'' The following Q&A has been edited for length and clarity: How did your meeting with Alex just now go? The meeting was about how to make AI as awesome as it can be for glasses. Obviously, there are some unique use cases in the glasses that aren't stuff you do on a phone. The thing we're trying to figure out is how to balance it all, because AI can be everything to everyone or it could be amazing for more specific use cases. We're trying to figure out how to strike the right balance because there's a ton of stuff in the underlying Llama models and that whole pipeline that we don't care about on glasses. Then there's stuff we really, really care about, like egocentric view and trying to feed video into the models to help with some of the really aspirational use cases that we wouldn't build otherwise. You are referring to this new lineup with Oakley as 'AI glasses.' Is that the new branding for this category? They are AI glasses, not smart glasses? We refer to the category as AI glasses. You saw Orion. You used it for longer than anyone else in the demo, which I commend you for. We used to think that's what you needed to hit scale for this new category. You needed the big field of view and display to overlay virtual content. Our opinion of that has definitely changed. We think we can hit scale faster, and AI is the reason we think that's possible. Right now, the top two use cases for the glasses are audio — phone calls, music, podcasts — and taking photos and videos. We look at participation rates of our active users, and those have been one and two since launch. Audio is one. A very close second is photos and videos. AI has been number three from the start. As we've been launching more markets — we're now in 18 — and we've been adding more features, AI is creeping up. Our biggest investment by a mile on the software side is AI functionality, because we think that glasses are the best form factor for AI. They are something you're already wearing all the time. They can see what you see. They can hear what you hear. They're super accessible. Is your goal to have AI supersede audio and photo to be the most used feature for glasses, or is that not how you think about it? From a math standpoint, at best, you could tie. We do want AI to be something that's increasingly used by more people more frequently. We think there's definitely room for the audio to get better. There's definitely room for image quality to get better. The AI stuff has much more headroom. How much of the AI is onboard the glasses versus the cloud? I imagine you have lots of physical constraints with this kind of device. We've now got one billion-parameter models that can run on the frame. So, increasingly, there's stuff there. Then we have stuff running on the phone. If you were watching WWDC, Apple made a couple of announcements that we haven't had a chance to test yet, but we're excited about. One is the Wi-Fi Aware APIs. We should be able to transfer photos and videos without having people tap that annoying dialogue box every time. That'd be great. The second one was processor background access, which should allow us to do image processing when you transfer the media over. Syncing would work just like it does on Android. Do you think the market for these new Oakley glasses will be as big as the Ray-Bans? Or is it more niche because they are more outdoors and athlete-focused? We work with EssilorLuxottica, which is a great partner. Ray-Ban is their largest brand. Within that, the most popular style is Wayfair. When we launched the original Ray-Ban Meta glasses, we went with the most popular style for the most popular brand. Their second biggest brand is Oakley. A lot of people wear them. The Holbrook is really popular. The HSTN, which is what we're launching, is a really popular analog frame. We increasingly see people using the Ray-Ban Meta glasses for active use cases. This is our first step into the performance category. There's more to come. What's your reaction to Google's announcements at I/O for their XR glasses platform and eyewear partnerships? We've been working with EssilorLuxottica for like five years now. That's a long time for a partnership. It takes a while to get really in sync. I feel very good about the state of our partnership. We're able to work quickly. The Oakley Meta glasses are the fastest program we've had by quite a bit. It took less than nine months. I thought the demos they [Google] did were pretty good. I thought some of those were pretty compelling. They didn't announce a product, so I can't react specifically to what they're doing. It's flattering that people see the traction we're getting and want to jump in as well. On the AR glasses front, what have you been learning from Orion now that you've been showing it to the outside world? We've been going full speed on that. We've actually hit some pretty good internal milestones for the next version of it, which is the one we plan to sell. The biggest learning from using them is that we feel increasingly good about the input and interaction model with eye tracking and the neural band. I wore mine during March Madness in the office. I was literally watching the games. Picture yourself sitting at a table with a virtual TV just above people's heads. It was amazing. More to click on: If you haven't already, don't forget to subscribe to The Verge, which includes unlimited access to Command Line and all of our reporting. As always, I welcome your feedback, especially if you've also turned down Zuck. You can respond here or ping me securely on Signal. Thanks for subscribing.
Yahoo
an hour ago
- Yahoo
Campaign shines light on women and girls in football
Shannon Ghee is backing the campaign (Image: Powerleague Cardiff) A new campaign is shining a light on women and girls in football. Powerleague Cardiff has launched She's Got Game in response to research showing that 46 per cent of women and girls in the UK have felt judged or excluded for wanting to play football. Advertisement The initiative aims to celebrate, support, and promote female players across Wales and the UK. Christian Rose, CEO of Powerleague, said: "This survey confirms what we've long believed, that women and girls in Cardiff and across the UK are not only passionate about football, but ready to play. "Yet too many still face barriers that simply shouldn't exist. "At Powerleague, we're committed to breaking those down by creating inclusive, welcoming spaces where everyone can thrive, no matter their background or ability. "Football should be for everyone, and we're proud to be part of the movement making that a reality." Advertisement The campaign also includes a competition inviting women and girls to share their football skills and favourite moments. Entrants will receive a free off-peak five-a-side pitch voucher and the chance to win one-to-one coaching with freestyle footballer Shannon Ghee. Powerleague Cardiff will also screen live matches throughout the UEFA Women's Euros, offering fans a safe place to gather while encouraging new audiences to take part in the game. Shannon Ghee said: "Football has given me confidence, community, and so much joy, and I want every girl and woman to feel that too. "She's Got Game is about celebrating skill, creativity, and passion, no matter your level. Advertisement "Whether you're just starting out or have been playing for years, this is your moment to have fun, and show the world what you've got. "I encourage everyone across Cardiff to have a go at a trick, or share their favourite football bit, this summer."