Burning question

Hong Kong, Goa, and now a Swiss resort. The common thread in these tragedies is human carelessness. What happened in Crans-Montana in the early hours of Jan 1 is still not clear, but survivors have mentioned a wooden ceiling, and waitresses bearing champagne bottles with fireworks and candles stuck on them. On sober reflection, this…

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Exit impossible? Go for emotional equilibrium

Sometimes the question before us is simple: should I stay or leave? Some relationships – romantic partnerships, friendships, even certain professional equations – have an exit door. It may take courage to open, but the option exists. In The Falling Dagger (Nov 22, 2025) we explored how holding on can become self-harm, when the dignified…

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AI software is eating the world

When Kennedy said America would put a man on the moon, the goal had a finish line. The whole thing cost about $280bn in today’s money and employed 400,000 people at its peak, but everyone knew that once Armstrong took his small step, that particular race would be over. Likewise, the math of annihilation set…

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Are fires always caused by carelessness? Mostly, yes.

Fires in crowded places often happen because people are not careful enough. Recently, deadly fires broke out in Hong Kong, Goa, and a Swiss holiday resort called Crans-Montana. The details of the Swiss fire are still unclear, but survivors said the bar had a wooden ceiling, and waitresses were carrying champagne bottles with fireworks and…

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The consistency of ‘half encounter’

In recent times, observant citizens have begun to notice a fascinating pattern in certain police operations, quietly earning its place in the folklore of urban governance. There exists a rare and astonishing branch of marksmanship, practised not on Olympic ranges or military battlefields, but on dusty roads and convenient dark alleys—the legendary art of the…

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Word embeddings in NLP

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP), transforming words into dense vector representations that capture semantic and syntactic meaning. Moving beyond sparse, context-agnostic methods such as bag-of-words and one-hot encoding, modern embedding techniques (from Word2Vec to transformers) enable machines to capture linguistic relationships and…

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