Abandoned Helsinki oil caverns now heat 25,000 homes for a year
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IndiaNDTV ·
DMK Chief MK Stalin Introduces Age Limits and Tenure Caps for Party Posts
Tamil Nadu Chief Minister and DMK president MK Stalin has announced significant organisational reforms within the Dravidam Munnetra Kazhagam party. The changes include the introduction of age limits for those holding party positions, as well as caps on how long individuals can serve in such roles. The reforms are aimed at restructuring and revitalising the party's internal functioning. These measures are being seen as a major overhaul of the DMK's organisational framework under Stalin's leadership.
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IndiaNDTV ·
Kerala Biker Dies After Loose Iron Rods Fall Off Van and Impale Him
A biker identified as Sherin was killed in a tragic road accident in Kerala after iron rods fell off a van and pierced his body. The rods, which were reportedly loosely secured to the vehicle, slid forward when the van came to a sudden stop. The projectile-like rods struck and impaled Sherin, resulting in fatal injuries. The incident has raised serious concerns about the unsafe loading and securing of cargo on public roads.
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IndiaTimes of India ·
Govinda spotted at Mumbai hospital as marital dispute with Sunita Ahuja continues
Bollywood actor Govinda was recently seen leaving a Mumbai hospital amid ongoing tensions in his marriage. His wife Sunita Ahuja claimed she withdrew a divorce petition after rumors surfaced that Govinda was planning a second marriage. Govinda's manager has denied these allegations, calling Sunita's claims unfounded. The couple's prolonged marital troubles continue to draw significant public attention.
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IndiaTimes of India ·
NY 8th Grader Finds Specialized AI Beats ChatGPT-4o at Detecting Stress
Fourteen-year-old Zeynep Demirbas, a New York eighth grader, conducted a study evaluating four AI models on their ability to detect stress in online text. She analyzed 3,553 Reddit posts to compare the models' accuracy. Mental health-focused model MentalBERT outperformed the others with roughly 82% accuracy, while ChatGPT-4o lagged behind at around 74%. Her research indicates that general-purpose large language models may fall short when applied to mental health assessment tasks. The findings highlight the potential advantage of domain-specific AI tools over broader conversational models in sensitive healthcare contexts.
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