The content indicates that access to a specific webpage on Business Standard regarding Google’s SynthID—a tool designed for detecting AI-generated content—is denied. Users attempting to view the article receive a permission error message, suggesting that access to the server is restricted. There is no additional information available because the error prevents retrieval of the page’s details, leaving readers unable to learn about the features or implications of Google’s AI detection technology.

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OpenAI is appealing a court order requiring it to preserve ChatGPT output data indefinitely in a copyright case initiated by the New York Times. The company argues that this order conflicts with user privacy commitments. Following a court ruling in May, OpenAI was mandated to segregate all output log data after the Times requested its preservation. OpenAI CEO Sam Altman emphasized their commitment to user privacy, stating that they will contest any demands that infringe on it, calling the Times’ request an inappropriate precedent. The New York Times filed a lawsuit against OpenAI and Microsoft in 2023, alleging unauthorized use of its articles to train the ChatGPT model. U.S. District Judge Sidney Stein acknowledged the Times’ claims, noting that there was ample evidence of copyright infringement, which justifies allowing the case to proceed. The Times has not yet responded to requests for comment.

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The author conducted a week-long experiment comparing several AI assistants—ChatGPT (GPT-4o), Claude 4 Sonnet, Gemini 2.5 Pro, Perplexity, and DeepSeek—by using each exclusively for 24 hours. The aim was to assess their productivity benefits without switching between them, which the author often does to refine outputs.

ChatGPT excelled in personal memory, creativity, and emotional support, proving effective for tasks like guiding to a new soccer location and summarizing group chats. Claude was noted for nuanced reasoning and articulating empathetic responses, though it struggled with immediate requests. Gemini’s speed and Google integration shone through, despite lacking creativity. Perplexity provided factual, source-backed answers but lacked personality. DeepSeek impressed with its technical reasoning and vision analysis but was less friendly.

Ultimately, ChatGPT emerged as the favored assistant, offering a balance of utility and personalization. The author plans to continue using all AI tools in a hybrid fashion to maximize their strengths.

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KUALA LUMPUR: Smooth traffic has been reported on major highways across Malaysia this morning in anticipation of the Aidiladha celebrations tomorrow. A spokesperson from the Malaysian Highway Authority (LLM) noted that while traffic is currently flowing well towards the east coast and southward from the capital, congestion is expected to begin around noon. Increased vehicle numbers have already caused heavy traffic on the North-South Expressway (PLUS) from Bidor to Tapah. For real-time traffic updates, the public can contact PLUSLine at 1-800-88-0000, follow @plustrafik on X, or reach LLM at 1-800-88-7752 and @llmtrafik on X. Additionally, Pasir Puteh police chief Supt Zaizul Rizal Zakaria indicated that traffic at the two entry points along the Pasir Puteh, Kelantan-Terengganu border was also flowing smoothly as of 9 am.

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South Korean startup MangoBoost has achieved a significant milestone in large-scale AI training by validating the efficiency of AMD Instinct MI300X GPUs through its MLPerf Training v5.0 submission. Using a 32-GPU setup across four nodes, MangoBoost fine-tuned the Llama2-70B-LoRA model in just 10.91 minutes, setting a benchmark for multi-node performance on AMD GPUs. The results showed near-linear scaling efficiency (95–100%), highlighting how enterprises can effectively scale LLM training without network bottlenecks or reliance on specific infrastructure. MangoBoost’s platform demonstrated compatibility with various model sizes, confirming its versatility for production use. Industry experts praised the results, emphasizing the critical role of a well-optimized software stack in leveraging modern AI technologies. CEO Jangwoo Kim emphasized that their achievement proves software-hardware co-optimization facilitates efficient and flexible LLM training, ready for enterprise applications.

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Google, a subsidiary of Alphabet, announced the upcoming launch of a preview version of Gemini 2.5 Pro (I/O version), which enhances coding capabilities for creating interactive web applications. This updated version builds on its May release showcased at the I/O conference, with a stable version expected for enterprise use shortly. The new model has improved its ranking significantly, increasing its Elo score by 24 points on LMArena and 35 points on WebDevArena, securing its lead in both arenas. Tulsee Doshi, Google’s Senior Director of Product Management, noted its strong performance in challenging coding benchmarks like Aider Polyglot and others assessing mathematical and scientific reasoning. Gemini faces competition from AI products developed by companies such as Microsoft-backed OpenAI and Meta Platforms. On the same day, Anthropic, backed by Amazon and Google, released the Claude Gov model for U.S. national security clients, while Meta launched a standalone application based on Llama 4 LLM.

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The concept of “self-care” is widely used but often misinterpreted, leading to stress when individuals fall behind on their self-care routines. Activities like bubble baths and trendy workouts can be overwhelming. The use of AI tools, particularly Google’s Gemini Deep Research, can help create a personalized and manageable self-care plan by filtering relevant products and ideas tailored to one’s lifestyle. AI can offer an objective view and suggest practical self-care strategies based on an individual’s commitments. Additionally, tools like ChatGPT can provide structured self-care schedules, emphasizing regularity to maximize well-being. This can be especially beneficial for maintaining motivation and reducing feelings of shame associated with self-care needs. The anonymity of AI also encourages individuals to explore unconventional self-care practices without fear of judgment, fostering a more authentic pursuit of well-being. Overall, integrating AI into self-care planning offers flexibility and insight for a balanced lifestyle.

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