The New York Times on Friday filed a lawsuit against Perplexity, alleging the artificial intelligence startup has illegally copied and distributed its copyrighted content. The suit, filed in the Southern District of New York, accuses Perplexity of unlawfully scraping The Times' stories, videos, podcasts and other content to formulate responses to user queries. The startup also generates outputs that are "identical or substantially similar to" The Times' content, according to the complaint."While we believe ...

https://t.co/7efL6zjagT will offer interactive ‘Stories’ to kids instead of open-ended chat https://t.co/vYvuzNPYdZ ...

Core Insights - Google has launched a new feature called AI Mode, transforming the search experience into a continuous dialogue rather than just answering questions [1] - By October 2025, AI Mode has been rolled out in over 200 countries and supports more than 35 languages, with users asking questions three times longer than traditional searches [1][4] - The focus of AI Mode is on understanding user intent rather than merely generating responses, marking a shift in product philosophy [1][6] Group 1: AI Mode Overview - AI Mode is not a chatbot but an "information understanding system" designed to comprehend user queries [2][4] - Unlike traditional search, AI Mode allows for ongoing dialogue, remembering context and suggesting related resources [4][5] - The goal is to create a new pathway for information retrieval, emphasizing understanding over mere generation [6][20] Group 2: Development Process - The initial development of AI Mode involved a small team of 5 to 10 people, focusing on user interaction rather than a complete overhaul of search [10][12] - Early testing revealed that users were already teaching the search engine how to evolve through their queries [12][13] - The process included real user feedback, which was crucial for refining the AI's capabilities [15][18] Group 3: User-Centric Design Principles - Understanding user needs is paramount; the product should help users accomplish specific tasks rather than just showcase features [21][33] - Data alone is insufficient; identifying the underlying reasons for user behavior is essential for product improvement [27][28] - Simplicity in design is crucial; users should easily understand how to use the product without confusion [30][31] Group 4: Differentiation from Competitors - Google aims to differentiate AI Mode from ChatGPT by focusing on information retrieval rather than open-ended conversation [37][38] - AI Mode is designed to assist users in practical tasks, such as planning trips or finding information, rather than engaging in casual chat [39][41] - The evolution of AI is about making it more intuitive and user-friendly, allowing even children to interact naturally with the system [42][46] Group 5: Future of AI Interaction - The future of AI lies in its ability to understand user queries naturally, making it a more integral part of daily life [41][47] - Google emphasizes that the competition in AI is not just about technical capabilities but about understanding user needs [49] - Each interaction with AI Mode teaches the system what constitutes a useful response, enhancing its ability to serve users effectively [49]

Core Insights - Instagram is evolving beyond being seen as a subsidiary of Facebook, with its advertising revenue projected to surpass Facebook's by 2025, reaching $32.03 billion in the U.S. [1][5] - The growth in Instagram's advertising revenue is significantly driven by Reels, with a more than 20% year-over-year increase in viewing time [1][11] - Instagram's advertising CPM reached $9.46 in Q2, surpassing Facebook, TikTok, and Pinterest, indicating a shift in its market position [5][11] Advertising Revenue Growth - Meta's Q2 advertising revenue was $46.56 billion, exceeding Wall Street's expectations, with Instagram being a key contributor [1] - eMarketer predicts that Instagram's ad revenue will account for 50.3% of Meta's U.S. ad revenue by 2025, marking a significant milestone [1][5] - The introduction of new advertising models and improved conversion rates has enhanced Instagram's role in Meta's growth strategy [1][11] Competitive Landscape - Instagram's rise is partly attributed to TikTok's regulatory challenges, leading advertisers to shift budgets towards Instagram and YouTube Shorts [8][12] - The platform has undergone significant upgrades in its technology and advertising systems, allowing it to capture a larger share of advertising budgets [8][12] - The introduction of advanced models like Andromeda and GEM has improved Instagram's ad matching capabilities, enhancing overall advertising efficiency [9][11] Historical Context - Instagram was integrated into Facebook's ecosystem post-acquisition in 2012, limiting its initial growth as an independent advertising platform [6][7] - The platform's commercial journey began cautiously, with its first sponsored ad appearing in 2013, and it only began to scale significantly after 2015 [6][7] - The launch of Reels in 2020 marked a turning point, allowing Instagram to compete more effectively in the short video advertising space [7][11] Technological Advancements - Meta's introduction of large models into its advertising system has significantly enhanced Instagram's ad targeting and conversion capabilities [9][11] - The upgraded recommendation logic for Reels has allowed for real-time learning and improved user engagement, further driving ad performance [9][10] - Instagram's ability to adapt its advertising strategy in response to market changes has solidified its position as a key player in the digital advertising landscape [12]

Product Update - Instagram allows sharing Spotify songs with sound to Stories [1]