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first_img Google allows schools to disable AI, but they will also lose search services after doing so

On Tuesday, Google announced that its AI products will be disabled by default for K-12 student accounts unless school administrators actively enable them. However, schools that wish to completely disable AI must also turn off Google Search, which is a tool that millions of students rely on for their daily research. Chris Phillips, Vice President and General Manager of Google Education, stated during a meeting with educators that Search and AI are deeply integrated, and schools that are uncomfortable with AI can choose not to enable Search at all.Google stated that administrators can enable or disable Gemini, Gemini Notebook, Gemini in Classroom, and Search separately. This means that schools can block the standalone chatbot while retaining the search function, but they cannot remove AI from the search itself. According to The New York Times, starting in early 2027, schools that enable Search will receive versions with regular AI features such as AI Overviews and AI Mode, or an education-focused Guided Learning experience, neither of which will offer a traditional search experience without generative AI.The announcement has sparked criticism. New York City Mayor Zohran Mamdani accused Google of trying to impose AI on public schools using its monopoly power; former Federal Trade Commission Chair Lina Khan also criticized Google for using its search monopoly to force schools to adopt AI. Currently, New York City has implemented a one-year generative AI ban for students in eighth grade and below, affecting nearly 600,000 students, while Los Angeles has also restricted the technology, with local officials originally hoping to retain Google Search and remove AI summaries. In 2024, a federal court ruled that Google illegally monopolized the U.S. search market.

first_img AMD CEO Lisa Su visits Samsung again, stating that they will discuss broader cooperation

AMD Chairwoman and CEO Lisa Su arrived at Samsung Electronics' Seocho office building in Seoul at around 4:44 PM on October 7, meeting with Vice Chairman Choi Yong-hyun, head of the Device Solutions Division, approximately seven months after her last visit to South Korea. Jack Huynh, head of AMD's Computing and Graphics Group, and Vice President Joseph Macri accompanied her. Lisa Su stated that both sides would discuss a broader partnership and mentioned that Samsung has many partners; when asked if she would meet with Lee Jae-yong, she said it was inconvenient to disclose.Before visiting Samsung, Lisa Su attended AMD Player Day in Seoul, referring to Samsung and SK Hynix as core supply chain partners and stating that they are planning a long-term supply chain due to rising demand for artificial intelligence. She mentioned that the next-generation MI455 and Helios systems have begun shipping and both use HBM4, supported by two companies, and that the HBM collaboration will not stop at one generation. Reports indicate that the Instinct MI455X features 432GB of HBM4, an increase of 50% compared to the previous generation MI355X's 288GB of HBM3E. She noted that memory supply is very tight and that they are optimizing usage with customers and asking partners to expand production. TrendForce predicted on the 29th of last month that the limited advanced process capacity shared between HBM and regular DRAM may continue to lead to tight supply into next year.Reports state that both parties signed a memorandum of understanding in March this year centered on the supply of HBM4 and next-generation DDR5, designating Samsung as the main supplier of HBM4 for the MI455X and discussing Samsung's contract manufacturing of AMD's next-generation products. Choi Yong-hyun stated at that time that Samsung can provide memory, foundry, and packaging simultaneously.

first_img Tavus claims that the Griffin model causes 48% of video call participants to mistakenly believe they are interacting with a real person

AI startup Tavus released a new model called Griffin on October 1, referring to it as the first "human interaction model" that can understand and generate face-to-face conversations, paying attention not only to wording but also to expressions and pauses. Tavus stated that in tests, after a one-minute video call with Griffin-Lite, 26 out of 54 participants (48%) believed the other party was a real person; its previous generation system only convinced 1 out of 41 participants.Participants were told they would have a one-minute video call with another person to discuss things they were looking forward to this year, and only at the end of the call were they asked if they suspected the other party was not a real person. Tavus noted that those who became suspicious typically noticed within 20 seconds. This result comes from Tavus's own research page, where participants were recruited through a channel they call an independent research platform. Community comments on X pointed out that these results have not been independently verified and do not meet standard protocols.In the NVIDIA VideoFDB benchmark, Tavus claimed Griffin-Lite ranked first, with a generation dimension score of 3.83, the next best system scoring 2.8, and human reference scoring 3.92; the perception dimension score was 3.73, with the strongest baseline at 3.44 and human reference at 4.2. Tavus stated that NVIDIA independently conducted this evaluation. Griffin supports full duplex, allowing it to listen, see, and speak simultaneously, with an average audio-video delay of 0.43 seconds on the NVIDIA H100 chip. Tavus completed a $40 million Series B funding round led by CRV in November 2025.
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