LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

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Pilots that looked promising do not always survive the transition, and the failure pattern is consistent enough that data leaders can plan around it. This article describes three failure modes that ...

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...

In spring 2026, social media users spread a rumor that a new data center in Utah would use about 16 billion gallons of water a year and that the center would be 2.7 times the size of Manhattan. Utah ...

June 10 (Reuters) - Microsoft (MSFT.O), opens new tab is limiting employees' use of Anthropic's Claude Fable 5 because of the AI startup's new data retention requirements, The Verge reported on ...

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...

Who in the world is Elias Thorne? He’s a regular fixture in stories told by chatbots, as first spotted by software engineer Daniel May, but no one knows why… until now. According to a new preprint ...

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

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Rachel is a freelancer based in Echo Park, Los Angeles and has been writing and producing content for nearly two decades on subjects ranging from tech to fashion, health and lifestyle to entertainment ...