The hottest Engineering Substack posts right now

And their main takeaways
Category
Top Business Topics
Mule’s Musings 256 implied HN points 25 Mar 23
  1. Moore's Law drove massive technological progress and changed our lives significantly
  2. Moore's Law enabled the rapid advancement of communication, entertainment, and healthcare
  3. Moore's Law was an aspiration upheld by the semiconductor industry, not a scientific law, but its impact on technology and progress remains profound
James W. Phillips' Newsletter 78 implied HN points 18 Feb 23
  1. The UK needs to benchmark itself against global science leaders for investment and performance.
  2. Science and technology have become more interdisciplinary and institutions need to adapt to support this.
  3. Identifying niches for exploitation and creating new institutions focused on empowering junior researchers is crucial for UK's success.
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AI and Experience Design 78 implied HN points 24 May 23
  1. Prompt Engineering involves scientific, methodical, and measurement-oriented approaches to creating AI prompts.
  2. Prompt Engineering may not be enough due to the inscrutability of Large Language Models and the need for intuition when working with AI.
  3. Prompt Vibing suggests leveraging intuitive sensibilities and balancing engineering mindset with intuition when interacting with AI.
platocommunity 39 implied HN points 01 Feb 24
  1. Okta believes in leveling up both the tech stack and the people stack for successful architecture.
  2. The Architecture Charter at Okta involves setting clear guardrails and handholds to empower engineers to make informed decisions.
  3. Writing things down, utilizing frameworks like RFCs and Requests for Discussion, is crucial for communication and knowledge sharing in the organization.
Tech Talks Weekly 19 implied HN points 16 May 24
  1. Tech Talks Weekly shares recent tech talks from over 11 conferences, making it easy to catch up on the latest developments.
  2. Popular talks this week include topics like processing large data with Java and the latest updates in React, showcasing diverse tech trends.
  3. Readers are encouraged to support the initiative by sharing the newsletter and providing feedback to improve future content.
State of the Future 29 implied HN points 12 Nov 24
  1. Nuclear energy might not fully power the future's huge AI data centers, but it could play a significant supporting role. It offers reliable and flexible energy, especially where renewable sources might struggle.
  2. Small Modular Reactors (SMRs) could address the increasing energy demands for AI, but their high costs and complicated regulations are big hurdles. They might work well as part of a mix with other energy sources instead of being standalone options.
  3. The market for nuclear power is growing, driven by needs for cleaner energy and the specific power requirements of data centers. Big tech companies are already looking into using nuclear to meet their future energy demands.
Breaking Smart 130 implied HN points 30 Sep 23
  1. Oozification, a process driving technological evolution, is making the future less certain and more complex.
  2. Swamps represent evolutionary vigor and the potential for radical change, showcasing the dual nature of stability and destabilization.
  3. All technology undergoes oozification, transforming into more elemental building blocks and increasing evolutionary potential.
Breaking Smart 72 implied HN points 11 Feb 24
  1. The concept of Massed Muddler Intelligence (MMI) entails a new approach to scaling AI, emphasizing the importance of agents, local trial-and-error, and muddling through over monolithic, deterministic training models.
  2. MMIs aim to leverage the principles of embodiment, boundary intelligence, temporality, and personhood to design scalable AI systems that resemble Service-Oriented Architecture in computing.
  3. Building MMIs involves compositing different elements deliberately to create a language of differentiated forms, akin to how reinforced concrete combines materials in defined geometries to achieve specific properties.
Teaching computers how to talk 68 implied HN points 05 Mar 24
  1. Large language models behave like beings rather than things, displaying strange characteristics.
  2. Instructing models doesn't involve coding; it's about guiding their actions and understanding their behavior, akin to convincing a stubborn teenager rather than traditional engineering.
  3. Similar to Isaac Asimov's fictional robots, large language models can interpret instructions in unforeseen ways, implying a need to humanize and understand them for effective interaction.
Ben’s Newsletter 3 HN points 06 Aug 24
  1. Developers face a lot of challenges with technical debt which slows down projects. It's important to address this debt by improving code and reducing dependencies.
  2. AI tools are really helping developers work faster and more efficiently. Many developers are now using AI to help write and debug their code.
  3. Reproducibility and effective tooling are key to a smooth software development process. Using the right tools can save time and make it easier for teams to work together.
Maker News 22 implied HN points 30 Nov 24
  1. There are many fun DIY projects you can try, like making a cheap ultrasonic humidifier or upgrading old tools with USB-C. It's a great way to learn and create something useful.
  2. A variety of innovative gadgets are available to buy, like a ZX Spectrum recreation that brings back nostalgic 8-bit computing. It can be a fun treat for anyone who loves tech.
  3. Exploring new technologies, like vocoders, can be exciting. Understanding how they work may inspire new projects and creative ideas in sound and music.
Engineering Enablement 6 implied HN points 19 Nov 24
  1. A structured rollout of tools like Copilot can significantly improve user satisfaction and adoption, with increases seen by up to 20%.
  2. Training and support during the rollout process lead to better tool usage, helping teams realize the full benefits of their tools.
  3. Creating community spaces for users to share experiences and asking for feedback can enhance overall satisfaction and engagement with the tool.
🔮 Crafting Tech Teams 39 implied HN points 02 Jan 24
  1. The focus for 2024 is on developing human and soft skills alongside Software Engineering Fundamentals, starting with architecture and design techniques.
  2. The XP disciplines will be covered in February, building on the foundational knowledge of architecture and design.
  3. The importance of human skills alongside technical skills in technology will be discussed in an upcoming stream on Jan 3rd.
Mindful Musings 206 HN points 28 Feb 23
  1. Understanding how SMS fraud works involves premium phone numbers, gaming for profit, and exploiting vulnerabilities in services.
  2. Protecting against SMS fraud can involve measures like obfuscating endpoints, blocking sketchy IPs, and implementing rate-limiting on SMS sending.
  3. Twilio has the potential to offer SMS fraud protection using data on fraudulent numbers and carriers.
The Recovering Academic 59 implied HN points 12 Sep 23
  1. Ashley Ruba transitioned successfully from academia to the industry, showcasing the value of building online professional relationships.
  2. The academic job market can be challenging and unmeritocratic, leading to difficulties in securing faculty positions despite impressive achievements.
  3. Ashley Ruba's journey highlights the importance of exploring career options outside of academia, especially when facing challenges like limited job prospects and the impact of external factors.
Technology Made Simple 59 implied HN points 18 Jun 23
  1. Learning from the mistakes and successes of others through stories can help in personal and professional development.
  2. Insight from top-tier developers at Google, like Chris Laffra, can provide valuable lessons on improving developer productivity.
  3. Subscribing to resources like Beyond Coding podcast can offer access to high-quality content for continuous learning and growth.
Technology Made Simple 59 implied HN points 22 Aug 23
  1. Randomness in software engineering introduces unpredictability and can be used for various reasons like generating different outputs and introducing randomness into systems.
  2. Careful consideration is needed when using randomness in software engineering to avoid security risks and unnecessary complexity.
  3. To test the randomness of a system, consider using Diehard tests, which are intuitive and effective in evaluating randomness.
Something interesting 4 implied HN points 28 Nov 24
  1. Building a skyscraper with a million stories would be huge. It would have to cover a massive area and be taller than any building we have today.
  2. Elevators in such a tall building would take forever to reach the top. They might need to be super advanced and comfortable, like mini-hotels.
  3. The universe is really big, and we are very small. Even the tallest buildings are tiny compared to the whole Earth and space around us.
jonstokes.com 154 implied HN points 18 May 23
  1. Different approaches to evaluating AI performance have practical implications in development, deployment, and regulation.
  2. Language models like GPT-4 struggle with resolving ambiguity in human language due to limitations in understanding context.
  3. Using an engineering approach, providing relevant context, and improving language parsing can help mitigate language model biases and inaccuracies.
The Caring Techie Newsletter 7 implied HN points 31 Oct 24
  1. The newsletter creator wants your feedback to make the content better. They’ve made a quick survey for readers to fill out.
  2. You can win cash prizes by participating in the survey, with a total of $175 up for grabs.
  3. The survey results will help guide future topics that matter most to readers of the newsletter.