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Perplexity faces another legal challenge

Welcome back! It was a rough start to the weekend for hundreds of employees at Elon Musk’s xAI. The company laid off at least 500 employees, nearly one-third of the company’s data annotation team on Friday night, according to Business Insider. The publication reported that employees were notified via email that the company was downsizing its teams as it undergoes a major reorganization, shifting its focus to expand and prioritize its specialist AI tutors.
1. Merriam-Webster sues Perplexity over content use
2. AI, suicide & Musk: Altman’s uncomfortable Tucker Carlson interview
3. Volkswagen bets $1.1B on AI future by 2030
AI ON TRIAL
Merriam-Webster publisher sues Perplexity over content use

Just days after securing $200 million in new funding at a $20 billion valuation, AI-powered answer engine Perplexity is facing another lawsuit in the hot seat again.
Britannica, the publisher of Merriam-Webster and Encyclopaedia Britannica, has filed a copyright and trademark infringement lawsuit against Perplexity, charging the company with illegally using Britannica’s “trusted and human-verified content” and its historic brands, often verbatim and without consent.
Filed on Sept. 10 in a New York state court, the lawsuit references Britannica's 250-year-old history and its reputation for “trusted, fact-checked, meticulously researched content,” which it claims Perplexity is violating." Britannica further emphasizes the high demand for its content, noting more than 1 billion sessions on its website in 2024.
The lawsuit charges Perplexity with “free riding” on the company’s investments, by “cannibalizing traffic” to Britannica’s websites with AI-generated summaries of its content. Unlike traditional search engines, Perplexity provides answers without sending users to other webpages, impacting web publishers, like Britannica, who rely on those clicks to sell subscriptions and advertising.
Britannica Group CEO Jorge Cauz said the company will take all steps necessary to protect its data and intellectual capital.
"Perplexity claims to be the 'world's first answer engine' but the answers they provide to consumers are often Britannica's answers," he said.
The Britannica suit is the latest in a slate of copyright infringement lawsuits against Perplexity.
In late August, Japan news outlets, Nikkei Inc. and the Asahi Shimbun Co., filed a lawsuit in a Tokyo District Court for alleged copyright infringement, seeking an injunction and nearly $15 million each in damages.
Dow Jones and New York Post parent company News Corp. sued Perplexity last October for “massive scale" copying of copyrighted news content, analysis and opinion.” In December, News Corp. amended its complaint, demanding a jury trial. Last month, Perplexity lost its bid to dismiss or transfer that case.
Other companies have also brought suits against Perplexity, including a "trademark infringement” filed in August by Perplexity Solved Solutions, accusing it of using its brand name. Perplexity Solved Solutions had been in business since 2017, a full five years before Perplexity was founded.

Perplexity isn’t alone in facing challenges when it comes to the use of AI-generated content, as copyright and content-use lawsuits have become a recurring theme across the industry.
Several AI companies, including OpenAI, have faced lawsuits from publishers over the use of copyrighted content to train their models.
Ziff Davis sued OpenAI for using copyrighted content without permission. The New York Times also sued OpenAI and Microsoft for using its published content to train their technologies.
These cases are unlikely to be the last, as developers continue to create more models and businesses increasingly commercialize and widely deploy AI technology.
Last week’s announcement that Anthropic agreed to pay a record-breaking $1.5 billion to settle a class-action lawsuit from authors over copyright infringement clearly paves the way for more cases.
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AI ETHICS
AI, suicide & Musk: Altman’s uncomfortable Tucker Carlson interview

If you haven’t watched or listened to Sam Altman’s interview with Tucker Carlson, you’re truly missing out. The OpenAI CEO fielded questions on seveeral high-stakes topics, including whether AI could surpass human power, the moral obligations surrounding ChatGPT, and even if an employee’s suicide was actually murder.
The discussion was undeniably uncomfortable. Altman said ChatGPT is trained to reflect “the collective experience, knowledge, learnings of humanity,” but noted that aligning the model requires judgment calls. “We do have to align it to behave one way or another,” he said, pointing to the company’s internal “model spec” as the framework guiding what the AI can and cannot do.
When Carlson asked Altman if ChatGPT has an “autonomy of spirit” that some users may even “worship,” Altman dismissed it, saying nothing about AI feels divine or spiritual to him.
He then discussed his evolving views on the potential power of AI technology. Initially concerned about its concentration in a few hands, he said he now sees it as a means for broader empowerment by those using it.
The discussion also turned to ChatGPT and suicide, where Altman acknowledged the complexity involved with protecting user freedom, privacy and vulnerable users. He said, “I can imagine a world where if the law in a country says terminally ill patients have an option, ChatGPT could present it — here’s the law, here’s what you can do, here’s why you might not want to.”
The interview also delved into controversy and high-stakes conflicts surrounding an employee suicide, as well as Altman’s relationship with Elon Musk.
The interview took a darker turn when Carlson asked about the former employee’s death, framing it as a murder rather than suicide. Altman said the question felt “weird” and said it sounded like an accusation, stressing he was not responsible but understood why the family might be concerned.
Altman’s relationship with Elon Musk was also on the table during the interview. When asked about Musk, Altman described him as initially instrumental in OpenAI's creation, but now characterized him as a competitive presence attempting to slow the company down.
Check out the full interview:
TOGETHER WITH KORE.AI
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AUTOMOTIVE
Volkswagen bets $1.1B on AI future by 2030

New cars weren’t the only item on the Volkswagen Group’s agenda at the vast IAA Mobility show in Munich last week. The German automaker made headlines with a pledge to invest $1.1 billion on AI by 2030.
The sum seems sizable given the group has made clear its determination to reduce costs, with operating profit down 15% year over year in 2024. But it’s this need for greater efficiency that has prompted the decision to escalate the usage of AI, with the company citing its potential to deliver “cost avoidance opportunities” of $3.9 billion by 2035.
More than 1,200 AI applications are already in use, but this number will be increased by hundreds more across all the company’s brands. Volkswagen Group’s huge portfolio includes Audi, Porsche, Bentley and Europe’s third biggest seller so far this year, Skoda.
No area will be left untouched by AI. In partnership with France’s Dassault Systèmes, Volkswagen is building an AI-powered engineering environment to cut vehicle development times by 25%, from around 48 months to 36 months, with virtual testing and component simulations to the fore.
In manufacturing, enhanced use of AI will be shared across more than 40 sites connected by the Group’s Digital Production Platform, a “factory cloud.” This will help optimize the interaction of complex assembly processes, lowering energy usage and material costs.
AI will assist with beefed-up cybersecurity, too, and Volkswagen is investigating the potential of collaboration with industry partners on an AI model trained on shared data that could benefit all participants.
In announcing the package, board member Hauke Stars called for more political support in Europe to advance AI innovation, and left no one in doubt about the company’s commitment to it. “Our ambition: No process without AI,” said Stars.
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Editor’s Note: We accidentally marked the incorrect image as real. So, for the 58% of you that got it wrong. You were actually right… |
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The Deep View is written by Faris Kojok, Liz Hughes and The Deep View crew. Please reply with any feedback. Thanks for reading today’s edition of The Deep View! We’ll see you in the next one.
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