The hottest Readability Substack posts right now

And their main takeaways
Category
Top Technology Topics
Disaffected Newsletter β€’ 779 implied HN points β€’ 13 Jan 23
  1. Use high-contrast colors for your text and background to make reading easier. Low contrast can make it hard to read and push people away from your content.
  2. Many readers won't tell you your text is hard to read, and they might leave without saying anything. It's better to get feedback than to lose potential readers.
  3. Remember that your main goal is to share words that people want to read. Avoid trendy designs that harm readability, as they can hurt your audience and support.
The Counterfactual β€’ 59 implied HN points β€’ 08 Feb 24
  1. The poll showed that readers are interested in how well large language models (LLMs) can change the readability of texts. This will be explored further in a detailed study.
  2. The study will involve real people judging how easy or hard the modified texts are to read. This is important because readability is something people understand best.
  3. Updates on the study will be shared about once a month, along with regular posts on other topics related to language processing and understanding.
The Counterfactual β€’ 19 implied HN points β€’ 29 Feb 24
  1. Large language models can change text to make it easier or harder to read. It's important to check if these changes actually help with understanding.
  2. By comparing modified texts to their original versions, it's clear that 'Easy' texts are generally simpler than 'Hard' texts. However, it can be harder to make texts significantly simpler than they originally are.
  3. Despite the usefulness of these models, they might sometimes lose important information when simplifying texts. Future studies should involve human judgments to see if the changes maintain the original meaning.
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The Counterfactual β€’ 0 implied HN points β€’ 13 May 24
  1. Subscribers can vote on topics each month for future posts. This means readers have a say in what gets discussed.
  2. Past post topics have included readability and tokenization in language models. These topics show a focus on language and technology.
  3. There’s a free trial offered for new subscribers. People can explore content before committing to a paid subscription.