What I read in the shadows #1
AI writes summaries of preprints in bioRxiv trial
Author: Ewen Callaway
In this article, Ewen Callaway discusses a new AI tool that can summarize preprints on bioRxiv. The AI system uses natural language processing to analyze the text of each preprint and generate a concise summary that captures its main findings. This could be particularly useful for researchers who want to quickly understand the content of multiple papers without having to read them in full. However, Callaway also raises concerns about the potential biases that may be present in such an AI system, as well as the need for human oversight to ensure that the summaries are accurate and complete.
Unleashing the Power of Apple Notes
Author: Adi Kakarla
In this article, Adi Kakarla provides tips for using Apple Notes to its full potential. The author suggests several ways in which the app can be used beyond just taking notes, such as creating to-do lists, organizing research papers, and even tracking personal goals. Kakarla also discusses some of the features that make Apple Notes particularly useful, such as its ability to sync across devices and its support for rich formatting options like tables and images. Overall, the article provides a comprehensive guide for anyone looking to get more out of their use of Apple Notes.
Exploring the Innovations of Swift 6
Author: Melissa Zellhuber
In this article, Melissa Zellhuber provides an overview of the innovations introduced in Swift 6. The author discusses several new features and improvements that have been added to the programming language, such as improved error handling, better support for multithreading, and enhanced performance on Apple's M1 chip. Zellhuber also highlights some of the ways in which these innovations can be used to improve app development and make it easier for developers to create more powerful and efficient software. Overall, the article provides a useful guide for anyone interested in learning about the new features of Swift 6.
Replace Grammarly with Open Source LLM
Author: AnChen
In this article, AnChen discusses the potential benefits of using an open-source language model (LLM) instead of a commercial tool like Grammarly. The author argues that LLMs can be more effective at identifying and correcting grammatical errors in text, as they are trained on large amounts of data and can adapt to new linguistic patterns over time. Chen also discusses some of the limitations of using an open-source LLM, such as its potential for bias and the need for ongoing maintenance and updates. However, the author ultimately concludes that the benefits of using an open-source LLM outweigh these challenges, particularly for writers who value transparency and control over their writing process.
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Notion vs. Obsidian: Why Obsidian is the Clear Winner for Academic and Technical Writing
Author: Dr Vaishak Belle
In this article, Vaishak Belle compares and contrasts Notion and Obsidian, two popular tools for academic and technical writing. The author argues that while both platforms have their strengths, Obsidian is the clear winner due to its focus on personal knowledge management (PKM) and its ability to integrate with other productivity tools. Belle also discusses some of the limitations of Notion, such as its lack of support for markdown formatting and its more complex interface. However, the author ultimately concludes that Obsidian's emphasis on simplicity and customization makes it a better choice for writers who want to create a streamlined writing process that is tailored to their individual needs.
Learn Deep Learning in an Hour, Day, Season, or Decade
Author: Tyler Berbert
In this article, Adeel Shah provides an overview of the different ways in which deep learning can be learned and practiced at varying speeds. The author argues that while it is possible to learn the basics of deep learning in just a few hours or days, more advanced concepts and techniques may require several months or even years of study. Shah also discusses some of the factors that can affect how quickly someone can learn deep learning, such as their prior knowledge and experience with programming languages like Python. Overall, the article provides a useful guide for anyone looking to understand the different approaches to learning deep learning and how long it might take them to become proficient in the field.
Disagree
Author: Paul Graham
In this essay, Paul Graham discusses his views on disagreement and its importance for intellectual growth and progress. The author argues that while it can be uncomfortable to disagree with others, it is essential for pushing one's own ideas and beliefs to their limits and ultimately leading to greater understanding and insight. Graham also discusses some of the challenges associated with effective disagreement, such as the need for mutual respect and a willingness to listen to opposing viewpoints. However, the author ultimately concludes that the benefits of engaging in constructive disagreement far outweigh these challenges, particularly for those who value intellectual growth and progress.
Trolls
Author: Paul Graham
In this essay, Paul Graham discusses his views on trolling and its impact on online communities. The author argues that while some forms of trolling can be harmful or disruptive, others can actually contribute to the health and vibrancy of online discussions. Graham also discusses some of the challenges associated with identifying and addressing trolls, such as the need for clear guidelines and effective moderation tools. However, the author ultimately concludes that the benefits of allowing trolling in certain contexts outweigh these challenges, particularly for those who value free speech and open debate.