The hottest Technology Substack posts right now

And their main takeaways
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Top Technology Topics

Commentary: How to write a post-mortem that always blames Terry

Bad Software Advice • 0 implied HN points • 18 Mar 24
🕹 Technology Software Engineering Human factors Incident Management
  1. In incident management, avoid blame and focus on process and organizational factors. Blameless post-mortems are crucial.
  2. Consider power dynamics in post-mortems. Allow a separate group to handle incidents to prevent bias and promote improvement.
  3. Incidents rarely have a single root cause. Embrace a more complex root cause analysis to understand the multifaceted reasons behind failures.

You are building a communication tool

Tribal Knowledge • 0 implied HN points • 06 Aug 23
🕹 Technology Software Development Communication User Experience
  1. Humans are not great at communication, so we build tools to help us communicate better across all industries.
  2. Software development is heavily focused on improving communication, making it easier, faster, and clearer.
  3. When evaluating new features in software, always consider if it will enhance communication for users, as communication is key in building successful tools.
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Five Stages Of LLM Implementation

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 11 Dec 23
🕹 Technology AI Data Development Machine Learning Natural Language
  1. Implementing LLMs (Large Language Models) changes how applications are developed. Many teams focus on building tools instead of actually using them, which creates a gap.
  2. Getting data right is vital for successful LLM implementation. Companies should look closely at their data strategy to ensure LLMs perform well, especially during real-time use.
  3. There are several stages to using LLMs effectively. Starting from design time benefits user experience by avoiding issues like high costs and slow responses when deployed.

Why Elon Musks new strategy makes sense

Joshua Gans' Newsletter • 0 implied HN points • 25 Jul 16
🕹 Technology Electric Vehicles Solar energy Autonomous Vehicles Clean Energy Business strategy
  1. Elon Musk's new strategy for Tesla involves moving beyond the traditional car market and focusing on reconfiguring cities, energy systems, and environmental impact.
  2. Tesla's approach to building electric cars involved designing the vehicles from a clean slate, integrating software and hardware in a new architecture.
  3. Musk's plan to merge Tesla with SolarCity aims to create an integrated company that can innovate in clean energy solutions, including combining electric cars with solar power for reduced carbon footprint.

Apple makes changes to the App Store

Joshua Gans' Newsletter • 0 implied HN points • 09 Jun 16
🕹 Technology Apps App Store Platform Competition
  1. Apple is making significant changes to its App Store, including allowing search-based advertising and reforming subscription pricing.
  2. The introduction of search-based advertising by Apple aims to help consumers find apps that are more valuable to them by allowing developers to signal their app's worth through keywords.
  3. Apple's new subscription pricing model offers a 15:85 split for subscriptions lasting more than one year, incentivizing developers to maintain user engagement and app quality.

Self-Consistency For Chain-Of-Thought Prompting

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 04 Dec 23
🕹 Technology AI Language Models Data science Machine Learning Natural Language
  1. Self-consistency prompting helps improve the accuracy of language models when solving reasoning problems. It does this by generating different reasoning paths and choosing the most consistent answer.
  2. Using self-consistency can lead to better performance in various tasks, including arithmetic and common-sense reasoning. It shows clear accuracy gains across multiple language models.
  3. This approach requires careful sampling and processing of the reasoning paths to get the best final answer. It's all about making sense of the various responses to reach a clear conclusion.

AI isn't a stable building block

Tribal Knowledge • 0 implied HN points • 08 Mar 24
🕹 Technology AI Tech Innovation Programming Software Development Artificial Intelligence
  1. AI technology, especially generative AI, is evolving rapidly in the tech world, making it challenging to keep up with the pace of change.
  2. In the AI space, the constant evolution means that engineering efforts might easily become obsolete, leading to a struggle to build and maintain stable foundations for projects.
  3. Navigating the AI landscape requires a balance between keeping up with emerging technologies and avoiding getting stuck in a perpetual tutorial mode, waiting for the 'right' tools to use.

Just another scripting language

Tribal Knowledge • 0 implied HN points • 01 Mar 24
🕹 Technology Programming Software Development Engineering Artificial Intelligence Frameworks
  1. Python and JavaScript are both considered scripting languages, which are good for quick script implementation but can become challenging for managing large code repositories
  2. Python offers a wide range of packages for AI development, but some aspects like its 'magical' nature and unintuitive design in frameworks like Django may pose challenges for developers transitioning from other languages
  3. While Python can enable faster development, it may also lead to falling into bad patterns and lacking a deeper understanding, compared to the functional and intricate nature of JavaScript

Become a Senior Engineer #1: A Senior's Christmas Holiday

Become a Senior Engineer • 0 implied HN points • 22 Dec 23
🕹 Technology Software Engineering Remote work Professional development Work-life balance
  1. Software engineers usually enjoy a peaceful holiday time at work, including the week between Christmas and New Year when many companies reduce or cease operations.
  2. If you have to work during the holidays, use the slower time to tackle wishlist items, learn new things, and enjoy fewer meetings and interruptions.
  3. Before taking time off, finish pending tasks, communicate progress to coworkers, delegate necessary processes, and ensure your work is safe and documented for a smooth return.

I tried GitHub Copilot

Tribal Knowledge • 0 implied HN points • 15 Feb 24
🕹 Technology AI Software Development Programming Languages
  1. Large language models have been trained on dominant languages to generate legible and coherent language, a significant accomplishment.
  2. GitHub Copilot can be helpful for writing boilerplate, refactoring code, and exploring different patterns, but may suggest distracting or lazy coding options at times.
  3. While GitHub Copilot can save time in certain scenarios like code refactoring, some developers may not fully trust it due to potential debugging challenges and a desire to personally write and understand the code.

Full-stack overflow

Tribal Knowledge • 0 implied HN points • 02 Feb 24
🕹 Technology Engineering Software Development Team Collaboration Testing
  1. Understanding the full stack is valuable for engineers to make connections between different parts of an application and solve problems more holistically.
  2. Having a breadth of knowledge across the full stack can lead to building higher quality features at a faster pace and creating a better overall system.
  3. Developing a generalist approach with knowledge spanning from CSS to database architecture can benefit software engineering teams, especially in startups with limited budgets.

Your Estimates Are Wrong

Tribal Knowledge • 0 implied HN points • 16 Feb 23
🕹 Technology Software Engineering Estimation Productivity
  1. Estimation is a significant part of a software engineer's job, even though it might not always be explicitly stated in job descriptions.
  2. Uninformed estimates can lead to significant issues, such as underestimating the time needed due to lack of understanding or unforeseen challenges.
  3. Setting deadlines through estimates can promote productivity but may sometimes result in rushed work and a compromise on quality.

The Universal Language

Tribal Knowledge • 0 implied HN points • 05 Feb 23
🕹 Technology Programming Languages Communication
  1. Programming languages are like spoken languages in that people can be fluent in some, conversational in others, and have different dialects within each.
  2. The logical structures underlying programming languages are universal, making it easier for programmers to understand and learn new languages.
  3. Programming languages serve as a universal language that allows people to communicate and collaborate, even if they can't speak the same spoken language.

Iteration vs Planning

Tribal Knowledge • 0 implied HN points • 22 Jan 23
🕹 Technology Development Product Management Startups Software Engineering
  1. Agile methodology focuses on iteration and adapting to changes, while Waterfall emphasizes on planning everything upfront. Both have their tradeoffs and can work well for different reasons.
  2. The iterative approach involves delivering incrementally, receiving constant feedback, and adjusting along the way. It allows for flexibility but can lead to bugs and customer frustration initially.
  3. The planning approach involves detailed upfront planning, building according to the plan, and announcing the product only after completion. It provides a structured process but may lead to delayed reactions to customer feedback and potential rework.

Web3: What I Know So Far

Tribal Knowledge • 0 implied HN points • 31 Jul 22
🕹 Technology Blockchain Cryptocurrency NFTs Web3
  1. The author shares their experience with cryptocurrency trends and technologies like Coinbase, Nexo, MetaMask, and more, emphasizing the vastness of Blockchain technology.
  2. The author is working on a startup utilizing web3 technology, referencing data on the blockchain and facing data challenges with NFT contracts on Ethereum chain.
  3. The author looks forward to exploring different NFT contract types and working with various blockchains beyond Ethereum, such as Polygon, Solana, Cardano, and Tezos, each presenting unique data challenges and scale issues.

#2: Should you be in this meeting?

Become a Senior Engineer • 0 implied HN points • 27 Dec 23
🕹 Technology Meetings Productivity Communication Leadership Software Development
  1. Meetings can be time-consuming, impacting an engineer's core work. Attend only the valuable ones to maximize time and productivity.
  2. Make sure your presence in a meeting is worthwhile by aiming to learn something, teach something, or make a decision.
  3. It's okay to decline a meeting if it doesn't align with your priorities or if you don't see its value. Don't attend out of obligation.

Join our new subscriber chat!

Become a Senior Engineer • 0 implied HN points • 28 Dec 23
🕹 Technology News App Communication Community
  1. Join the subscriber chat on the Substack app to engage in exclusive conversations with the author and other subscribers.
  2. Download the Substack app on iOS or Android to access the chat feature and receive push notifications for real-time discussions.
  3. Once in the app, tap the chat icon and start interacting with the community - it's a great way to stay connected and be part of ongoing conversations.

Asking the right questions on Apple

Joshua Gans' Newsletter • 0 implied HN points • 22 May 16
🕹 Technology Artificial Intelligence Big Data Natural Language Processing Tech investment
  1. Apple's potential risk with AI: The article discusses how Google's advancements in AI could pose a threat to Apple, especially in big-data services and AI where Apple lags behind.
  2. The importance of in-house AI development: The importance of Apple investing in in-house AI talent and assets is highlighted to remain competitive, rather than relying on partnerships or acquisitions.
  3. Need for innovation and adaptation: The article emphasizes the need for Apple to adapt to potential industry shifts in AI interfaces, stay aware of dominant design trends, and align their capabilities accordingly.

Become a Senior Engineer #3: 15+ Code Editor Superpowers

Become a Senior Engineer • 0 implied HN points • 02 Jan 24
🕹 Technology Software Development Tools Productivity Coding
  1. Senior engineers focus on efficiency and quality, constantly optimizing workflows to increase speed and reduce errors.
  2. Modern code editors offer valuable tools like syntax highlighting, code analysis, and keyboard shortcuts to enhance your development experience.
  3. IDEs provide powerful features such as refactoring, code completion, debugging, and integration with tools like Git, databases, and CI/CD platforms.

Fight for the Users

Tribal Knowledge • 0 implied HN points • 12 May 22
🕹 Technology Software Development Usability Features User Experience
  1. When developing a tool, it's crucial to balance usability and features for user adoption and retention.
  2. Self-service tools can lead to organic growth and better user understanding, ultimately benefitting the long-term success of the product.
  3. Engineers play a significant role in advocating for usability improvements in tools, which can enhance user experience and overall product success.

[in case you missed it] Data Science Weekly - Issue 238

Data Science Weekly Newsletter • 0 implied HN points • 16 Jun 18
🕹 Technology Machine Learning Artificial Intelligence Data science Energy Efficiency Software Development
  1. Neural networks can struggle with humor if they don't have enough examples to learn from. More data might help them learn to tell better jokes.
  2. Machine learning is expected to become more effective on smaller devices, like smartphones, thanks to energy-efficient technologies. This could solve many current problems.
  3. Data cleaning is a big part of data science, often taking up to 80% of a person's time. Using tools like Python and Pandas can help make this process easier.

[in case you missed it] Data Science Weekly - Issue 246

Data Science Weekly Newsletter • 0 implied HN points • 11 Aug 18
🕹 Technology Data science Machine Learning Artificial Intelligence Statistical Analysis Software Development
  1. Data science can balance fast experimentation with careful research. It's important for teams to adapt quickly while also planning for the long term.
  2. Understanding how land in the U.S. is used can highlight ways to create wealth. Different areas have various productive uses that affect the economy.
  3. Automated machine learning tools like Auto-Keras can help people without a data science background to easily access deep learning models.

[in case you missed it] Data Science Weekly - Issue 247

Data Science Weekly Newsletter • 0 implied HN points • 18 Aug 18
🕹 Technology Data science Machine Learning Artificial Intelligence Programming Research
  1. Coursera has a new AI tool that helps companies see what skills their employees are learning. This way, workers can find out what skills they might still need.
  2. A small team of student AI coders has achieved success that rivals Google's machine-learning code. This shows that innovative work in AI can come from anywhere, not just big companies.
  3. Facebook's chief AI scientist believes that better collaboration between industry and academia is essential for AI innovation. This partnership can lead to exciting developments in the field.

Leave the REST to GraphQL

Tribal Knowledge • 0 implied HN points • 05 May 22
🕹 Technology APIs Development Backend Rest
  1. GraphQL provides an intuitive and flexible way to describe data requirements and interactions for client applications, simplifying development by having a defined schema and aiding with debugging.
  2. While REST is a standard widely taught in software engineering, GraphQL offers a more elegant approach by simplifying data contracts, debugging, and allowing for a more complex backend and simpler frontend development.
  3. Using GraphQL can help divide tasks among team members more effectively, with senior engineers focusing on backend problem-solving and junior engineers concentrating on frontend tasks like data mapping, ultimately making APIs more discoverable and user-friendly.

Preparing for layoffs; The OWASP Top 10; Is it a console, terminal, or...?

Become a Senior Engineer • 0 implied HN points • 24 Jan 24
🕹 Technology Cybersecurity Tech Tools
  1. Save up an emergency fund as a safety net in case of a layoff. Having financial security can ease the stress of job uncertainty.
  2. Familiarize yourself with the OWASP Top 10 to understand critical security risks in web applications. Being aware of security standards is crucial for modern software development.
  3. Distinguish between a 'console,' 'terminal,' and other tech terms to enhance your understanding in the technology field. It's an intriguing topic for tech enthusiasts.

A Story of Failure; BASE Tech: Full Text Search Engines

Become a Senior Engineer • 0 implied HN points • 14 Feb 24
🕹 Technology Engineering Search Engines Software Data Analysis Development
  1. Mistakes happen in engineering, and it's important to have a positive culture that supports learning from failures without blame.
  2. Implementing a full-text search engine in your app can greatly enhance the search experience for users by offering advanced features like relevance ranking and language analysis.
  3. When adding a full-text search feature, make sure to gather requirements, choose the right engine, build a robust implementation plan, and continuously test and optimize for performance and user feedback.

🎓 Work on projects you aspire towards; Design Pattern of the Day: Adapter

Become a Senior Engineer • 0 implied HN points • 29 Feb 24
🕹 Technology Programming Development Software Design Tech news Career development
  1. Focus on working on projects that inspire you and are beyond your current skill set to grow faster and gain more experience.
  2. The Adapter design pattern in programming acts as a bridge between incompatible interfaces, allowing for cleaner code, quicker development, and flexibility.
  3. To excel in software development, we should strive to work on challenging tasks, be open to learning from others, and not fear pushing beyond our comfort zones.

[in case you missed it] Data Science Weekly - Issue 252

Data Science Weekly Newsletter • 0 implied HN points • 22 Sep 18
🕹 Technology AI Data science Machine Learning Cybersecurity Programming
  1. Researchers found a pattern in prime numbers that resembles certain crystal patterns, which could change how we understand them. It's exciting because primes are usually seen as random and mysterious.
  2. DeepMind's AI is being used to improve Android battery life, showing how tech can help make our devices work better. It's important to see if these changes truly benefit users.
  3. Transfer learning allows using knowledge from similar problems to tackle new tasks more easily. This can save time and resources in machine learning projects.

Now You Can Toggle OpenAI Model Determinism

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 13 Nov 23
🕹 Technology AI NLP LLMs Chatbots Software Development
  1. OpenAI now lets you control whether their model gives consistent answers to the same questions. This means if you ask it something more than once, you'll get the same answer each time.
  2. This feature is useful for testing and debugging, where you need to see the same response to know the system is working correctly.
  3. To get the same output consistently, you need to set a 'seed' number in your request. Make sure to keep the other settings the same each time you ask.

Redefining Employee Satisfaction Surveys in the Age of GPT

Tomasz’s Substack • 0 implied HN points • 30 Mar 23
🕹 Technology Innovation Feedback Analysis Automation Workplace
  1. Traditional closed-ended surveys for employee satisfaction might be outdated due to survey fatigue. Employees disengage when faced with exhaustive questionnaires.
  2. GPT technology enables a shift to analyzing unstructured text for employee feedback, revolutionizing how viewpoints are obtained and interpreted. It's like surveying the text instead of the people behind it.
  3. Open-ended questions combined with GPT analysis offer a more comprehensive understanding of employee sentiments, preventing the accidental omission of significant topics in surveys. This approach can reveal unknown issues to HR.

OpenAI Assistant With Retriever Tool

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 09 Nov 23
🕹 Technology AI Software Development NLP Chatbots
  1. OpenAI assistants are like smart agents that help users by performing different tasks. They use specific tools to get the job done.
  2. The retrieval tool allows assistants to access information from various documents, enhancing their ability to answer questions accurately based on external knowledge.
  3. You can manage ongoing conversations with these assistants, allowing them to keep track of what was discussed. This helps in providing better responses over time.

Are AI Girlfriends the Great Filter?

Neural Networking • 0 implied HN points • 14 Jan 24
🕹 Technology AI Simulation Brain Energy consumption GDP
  1. The Fermi paradox questions why we haven't encountered extraterrestrial life despite the vastness of the universe.
  2. The possibility of AI advancing to perfectly stimulate human reward pathways might lead to a decline in the desire for outward expansion.
  3. Current trends in global population growth, energy consumption, and GDP concentration suggest that the need for physical exploration may be diminishing.