The hottest Open Source Substack posts right now

And their main takeaways
Category
Top Technology Topics
Data Science Weekly Newsletter 19 implied HN points 05 Aug 21
  1. Visualizing your code can help you understand its structure easily. It's a useful way to see what's happening in a GitHub repository at a glance.
  2. AI ethics should be understood by everyone in an organization, not just data scientists. This awareness can help prevent risks and guide better decisions.
  3. If you want to build a successful AI project, learn from those who have done it. They often share important lessons that can help others achieve similar success.
Quantum Formalism 19 implied HN points 05 Feb 21
  1. Polyadic QML is an open source quantum machine learning algorithm designed by Joaquín Keller.
  2. The algorithm is capable of running on NISQ devices and has shown accuracy levels similar to classical ML algorithms.
  3. There is an upcoming fireside chat with Joaquín Keller to discuss training a quantum model on the Iris flower dataset.
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Once a Maintainer 5 implied HN points 20 Jun 23
  1. Michael Grosser started with programming by experimenting and modifying scripts, which led him to become a programmer.
  2. He transitioned from media informatics to software engineering due to a preference for programming over animation.
  3. Open source contributions like single_cov and parallel were born out of frustrations with existing tools and workflows.
burkhardstubert 19 implied HN points 31 Jan 21
  1. Choosing the right communication technology depends on balancing bandwidth and range. For example, LoRaWAN is great for long distances but has limited bandwidth.
  2. Bare-metal programming is becoming more common for developers using Qt embedded systems, especially with newer microcontrollers that can handle safety-critical applications.
  3. Bluetooth Long Range is a promising option for applications that require good distance and reliability, especially in environments with obstacles, compared to other wireless technologies.
Once a Maintainer 2 HN points 20 Feb 24
  1. David Wobrock got into programming due to his parents being involved in meteorology and him tinkering with terminal commands from an early age.
  2. Wobrock's journey into open source started during his studies, with his first major contribution being a Python plugin for Visual Studio.
  3. In the Django community, the maintenance work involves a core team, the Django Software Foundation, technical boards, and security boards, showcasing a structured and collaborative approach.
I'll Keep This Short 5 implied HN points 08 May 23
  1. Open source Large Language Models are challenging centralized models like GPT-4, offering comparable quality at a lower cost.
  2. Companies like OpenAI face financial challenges in developing and maintaining cutting-edge AI technology.
  3. Google acknowledges the threat of open source LLMs, highlighting the need for collaboration and reevaluation of value propositions in the AI market.
Once a Maintainer 5 implied HN points 28 Apr 23
  1. Benji Nguyen started programming after leaving medical school and discovering a passion for it.
  2. Erdtree, a multi-threaded filesystem tool in Rust, was born out of boredom and the desire to create a modern alternative to an old program.
  3. Getting more people into open source involves educating them on engagement etiquette and encouraging empathy for fellow programmers.
Metal Machine Music by Ben Tarnoff 2 HN points 09 Apr 23
  1. The third wave of algorithmic accountability focuses on building new technologies, not just critiquing existing ones.
  2. Taking a dialectical approach to technology means acknowledging the contradictions in our technological inheritance and using them as points of subversion.
  3. Critique is essential for understanding the difficulties that condition our technological activities and for navigating the contradictory terrain of creating a better technological future.
burkhardstubert 19 implied HN points 30 Jun 20
  1. Cross-building Qt applications can be efficiently done using Docker containers in QtCreator, allowing work on multiple projects with different setups easily.
  2. Building a Qt SDK with Yocto can present challenges, especially in getting QtCreator to work smoothly with CMake, but it's manageable with the right adjustments.
  3. CMake resources are important for developers, and collecting helpful materials can make future projects easier and more efficient.
Gradient Flow 19 implied HN points 13 Mar 20
  1. Access to paid sick leave is crucial, as it has been shown to reduce flu cases by about 10% or more.
  2. Distributed computing is becoming increasingly important, especially in the context of machine learning models that require extensive training.
  3. There are new tools and databases available for data enrichment and time series management in the tech industry.
burkhardstubert 19 implied HN points 31 Mar 20
  1. Using CPack makes it easier to create installers and manage packages for Qt applications. You can create various formats like RPM and DEB without much hassle.
  2. The Qt Company raised their revenue cap for the small business license to $250,000, making it more accessible for smaller companies to use their software. This change aims to support small businesses better.
  3. Receiving user feedback early and often in software development saves time and helps in fixing problems quickly. It's important to test and get feedback on real devices as soon as possible.
burkhardstubert 19 implied HN points 29 Feb 20
  1. The Qt Company should offer different pricing options for their software to accommodate various project needs. This would help developers find a pricing plan that fits their budget and offer varying levels of support.
  2. Making Qt relocatable can simplify the installation process for different development environments. This flexibility allows teams to build their own versions more easily and adapt to their specific needs.
  3. Integrating multiple electronic control units into a single super ECU, like Tesla does, can improve efficiency in agricultural and construction machinery. It can reduce costs and streamline software updates, which is crucial for modern technology.
Vesuvius Challenge 3 implied HN points 27 Jun 23
  1. There is a $50,000 Segmentation Tooling Prize to incentivize the building of open source software to help segment scrolls.
  2. The winners of the first prize developed innovative tools like Optical Flow Segmentation and Khartes.
  3. A new $50,000 Segmentation Tooling Prize 2 has been announced with a deadline of September 15, 2023.
Human Programming 3 HN points 24 Jul 23
  1. The Digital Abacus tool allows users to visually understand complex math equations by interactively manipulating values on a flowchart and seeing real-time updates in a plot.
  2. The tool uses a graph data structure called RelGraph to store values and constraints, allowing for easy representation of equations and composite operations.
  3. The system solves for dependent values by updating values iteratively in the graph until equilibrium is reached, showing the math solving process in real-time.
Machine Learning Everything 3 HN points 29 Mar 23
  1. Interviewers should avoid leading questions during interviews to allow interviewees to express their own beliefs.
  2. The concept of consciousness in relation to AI models like GPT-4 remains a debated and unclear topic.
  3. Consideration for open-sourcing AI technologies should be based on more valid reasons than just trusting the individuals involved.
General Robots 2 HN points 10 Jul 23
  1. Posetree.py is a library for dealing with poses and transforms in robotics, making code more readable and reducing common bugs.
  2. Understanding the distinction between transforms, poses, and frames is crucial for clarity in robotics code.
  3. The 'timestamps' capability of posetree.py allows for expressing powerful ideas with simple code by automatically handling frame motion.
AI Brews 2 HN points 07 Jul 23
  1. Microsoft Research introduces a novel generative model that can create any combination of output from any input modalities.
  2. MoonlanderAI launches a generative AI platform for building immersive 3D games using text descriptions.
  3. Bark on Discord now provides text-to-audio capabilities, offering realistic multilingual speech and various audio outputs.
Theology 3 implied HN points 04 Apr 23
  1. Open-sourced AI can be dangerous when unregulated and in the hands of individuals who may use it for harmful purposes.
  2. The proliferation of open-source AI projects without proper ethical boundaries makes it challenging for regulators to monitor and control its potential risks.
  3. There is a significant concern over the unintended consequences of developers creating and sharing homebrew versions of AI models, leading to a lack of understanding and control over the technology's impact.
On Engineering 1 HN point 03 Dec 23
  1. Deprecating and removing open source projects can have major consequences on dependent projects in the software ecosystem.
  2. Maintaining a library may not always be feasible due to various factors like engineering allocations and dependencies.
  3. Forking a project can be a viable option for businesses heavily reliant on a library that is no longer actively maintained.
Sudo Apps 2 HN points 22 Apr 23
  1. Auto-GPT uses various techniques to make GPT autonomous in completing tasks with executable commands.
  2. Auto-GPT addresses GPT's lack of explicit memory by using external memory modules like embeddings and vector storage.
  3. Interpreting responses with fixed JSON format and executing commands allows Auto-GPT to interact with the real world and complete tasks.
ingest this! 1 HN point 19 Feb 24
  1. Build data apps using markdown and SQL with Evidence framework, offering a way to create polished data products.
  2. Explore the future synergy of knowledge graphs and large language models (LLMs) for enhanced technologies.
  3. Engage with the latest in data engineering by checking out a full exploration of the open-source data engineering landscape for 2024.
Machine Economy Press 1 implied HN point 27 Jun 23
  1. Databricks acquires AI startup MosaicML in a $1.3 billion deal to make generative AI accessible for all organizations.
  2. Major companies are investing in open-source AI tools to stay competitive in the rapidly growing AI sector.
  3. The acquisition of MosaicML by Databricks significantly enhances Databricks' credibility in large language models and generative AI.