The podcast discusses the reality check of quantum computing, the launch of freenginx, AI and the 'effective accelerationism' movement, tips for first-time open source contributors, and advice on high-risk refactoring in software development.
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Quick takeaways
Growing skepticism around near-term impacts of quantum computing due to unrealistic timelines.
Maxim Dounin's announcement of 'free Ingenex for Maxime' project highlighting importance of developer-driven initiatives.
Deep dives
Quantum Computing and Unrealistic Expectations
The podcast episode delves into the topic of quantum computing and the unrealistic expectations surrounding its near-term applications. While some quantum computing companies have proposed ambitious timelines suggesting real-world impacts in a few years, there is growing pushback against these expectations. The podcast highlights that despite some pessimism, there are also individuals who remain optimistic about quantum computing. The episode compares quantum computing to other computing endeavors, such as cryptocurrency and autonomous vehicles, where there are ongoing debates regarding their validity, timeliness, and long-term effects on humanity.
Maxime Downin's Fork of Ingenex
The podcast discusses Maxime Downin's announcement of a fork of the popular web server, Ingenex, due to disagreements with non-technical management at F5, the company that acquired Ingenex Inc. The forked project, called 'free Ingenex for Maxime,' aims to be free from arbitrary corporate actions and will be driven by developers rather than corporate entities. The podcast mentions Maxime's significant contributions to Ingenex over the years and provides a link to an article on Ars Technica for those interested in learning more about the history of Ingenex and the forked project.
Ship It is back! IEEE Spectrum writes about quantum computing’s reality check, Maxim Dounin announces freenginx, Nadia Asparouhova goes deep on AI & the “effective accelerationism” movement, Angie Byron helps first time open source contributors avoid common pitfalls & Miroslav Nikolov writes up his advice for high-risk refactoring.
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