Hacker News Top Stories with Summaries (April 15, 2023)
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<h1> Hacker News Top Stories</h1>
<p>Here are the top stories from Hacker News with summaries for April 15, 2023 :</p>
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What are transformer models and how do they work?
Summary: The article discusses transformer models, a new development in machine learning that are good at keeping track of context and generating coherent text. The architecture of transformer models is a concatenation of useful components, each with its own function. Unlike other ML models, transformers build text one word at a time because they are good at keeping track of context. They are trained with a lot of data from the internet, which allows them to generate text that makes sense. The article also provides links to more detailed descriptions of transformer models and how they work.
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Surviving Burnout
Summary: The article discusses the author's experience with burnout and how they overcame it. Burnout happens when we care about the results of our actions but have no control over the outcomes. The author experienced burnout in 2013 due to a stagnant job, unpaid work in open source and community organizing, and stressful family relationships. They quit their job, resigned from the nonprofit board, and declared a sabbatical from anything that didn't feel fun. They experimented with self-care and rediscovering fun activities. They started to recover in early 2014 but experienced burnout again when work became stressful. They pushed back and looked for who in the company had the power to make changes. The author learned to say no and prioritize self-care.