
Book Box: Railsong and the art of reading slowly
Dear Reader,RRailsong has many moments that resonate thus. The book affects us all in different waysA Sunday morning in January, with the feel of winter in the salty sea air.
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Encounters with great art can be absorbing, unsettling and even painful. How has this been tamed into ‘reading for pleasure’, asks Charlotte Higgins, the Guardian’s chief culture writer.

The film, Hamnet, is an adaptation of Maggie O'Farrell's novel with the same name. (Photo: Wikimedia/AI) Six years after Hamnet was first published, its author, Maggie O’Farrell, has never been more popular, and for good reason. Oscar-winning director Chloé Zhao’s film adaptation of the novel – which explores the anguish and troubled marriage of William Shakespeare (essayed by Paul Mescal) and his wife (Jessie Buckley) — reimagined here as Agnes, rather than the historical Anne Hathaway — after they lose their 11-year-old son Hamnet , took home two British Academy Film Awards (BAFTAs) for Outstanding British Film and Best Leading Actor, which Buckley won for her heart-wrenching portrayal of a grieving mother.

Dear Reader,RRailsong has many moments that resonate thus. The book affects us all in different waysA Sunday morning in January, with the feel of winter in the salty sea air.

Nicolás Maduro and Venezuela. Donald Trump’s explicit threats of regime change have pushed Venezuela abruptly from chronic crisis into acute confrontation.The arrest of Nicolás Maduro, the swearing-in of a...

Aiming to promote a “strong reading culture” and “curb excessive screen time” among children, the Uttar Pradesh government has made newspaper reading mandatory for students in all basic and secondary schools...

As 2025 nears its end, Bill Gates has shared his annual list of book recommendations. The selections span fiction, science, memoir, psychology, and public policy.What unites them is Gates’ long-standing...

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research shows these systems can infer patient demographics from pathology slides, leading to biased results for certain groups. The bias stems from how the models are trained and the data they see, not just from missing samples. Researchers also demonstrated a way to significantly reduce these disparities.