The hottest Software Substack posts right now

And their main takeaways
Category
Top Technology Topics
Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots 19 implied HN points 15 Mar 24
  1. TinyLlama is a small but powerful language model that's open-source. It can be used on mobile devices and is great for trying out new ideas in language processing.
  2. This model is trained on a huge amount of text, around 1 trillion tokens, which helps it do a good job with various tasks. It performs better than other similar models.
  3. TinyLlama aims to keep getting better and more useful by adding new features and improving its performance in different applications.
TheSequence 63 implied HN points 12 Feb 25
  1. Embeddings are important for generative AI applications because they help with understanding and processing data. A good embedding framework should be simple and easy for developers to use.
  2. Txtai is an open-source database that combines different tools to make working with embeddings easier. It allows for semantic search and supports creating various AI applications.
  3. This framework can help build advanced systems like autonomous agents and search tools, making it a versatile choice for developers creating LLM apps.
Artificial Ignorance 58 implied HN points 28 Feb 25
  1. OpenAI just released GPT-4.5, a powerful AI model that is more expensive to run than GPT-4 but doesn't perform as well in some areas. This raises questions about whether bigger models are always better.
  2. Amazon is launching Alexa+, a new subscription service that adds generative AI features to their smart assistant, aiming for more natural conversations and complex tasks.
  3. DeepSeek is pushing ahead in the AI race, planning to launch new models quickly while its free distribution strategy helps democratize AI access in China.
Sector 6 | The Newsletter of AIM 39 implied HN points 01 Dec 23
  1. Chinese tech companies are quietly developing powerful language models while the world focuses on popular ones like GPT-4. These new models could impact the global market significantly.
  2. Alibaba Cloud has released several language models aimed at making AI accessible for small and medium businesses. This shows a push towards democratizing technology.
  3. Models like Qwen-7B and Qwen-1.8B are open-source and designed for different needs, highlighting that there's a growing variety of options in the AI landscape.
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Dev Interrupted 32 implied HN points 12 Jun 25
  1. AI is changing software development, but it's mostly helping with coding and testing. Other important parts, like planning and reviewing, still need a lot of human effort.
  2. Relying too much on AI for speed can be a mistake. It's better to focus on improving the entire development process, not just trying to code faster.
  3. To use AI effectively in development, teams should create clear rules, encourage trying new things, and make sure quality and security aren't compromised.
Philip’s Newsletter 24 implied HN points 26 Jul 25
  1. Jitter is more important than average FPS in 3D environments because it affects the realism and immersion of the experience. If frames are delayed, it can surprise the brain and break the illusion of movement.
  2. The average FPS can vary greatly due to different hardware and complex user-created content. This makes it hard to rely solely on FPS as a measure of performance.
  3. New metrics like Normalized Jitter and Normalized Frametime Variation are being tested to better reflect user experience. These metrics consider the timing of frames and how noticeable the delays are.
Sector 6 | The Newsletter of AIM 39 implied HN points 30 Nov 23
  1. Amazon just launched a text-to-image AI model called Titan. It competes with popular models like Google's Imagen and OpenAI's DALL.E.
  2. Titan claims to be superior in generating images, aiming for better accuracy and inclusivity. It also wants to avoid creating harmful or biased content.
  3. It's still early to judge Titan's performance, but there are already established models in the market that have been tested.
ciamweekly 62 implied HN points 03 Feb 25
  1. CIAM helps businesses balance security and user experience. If security is too tight, users get frustrated, while loose security can lead to risks.
  2. Without CIAM, companies waste time creating custom access control systems. CIAM makes it easier for developers to manage permissions, so they can focus on product development.
  3. The future of CIAM involves managing machine identities as much as human ones. As automation grows, businesses will need new methods to handle permissions for both types of users.
Sector 6 | The Newsletter of AIM 39 implied HN points 29 Nov 23
  1. Big tech companies are competing to showcase new technologies, trying to outdo each other with better innovations.
  2. AWS has introduced a new chatbot named Q, which is designed for their customers to chat and generate content easily.
  3. AWS Q can be customized to work with various software used by organizations, making it flexible for different business needs.
Andrew's Substack 83 implied HN points 29 Nov 24
  1. Code coverage alone doesn't indicate whether tests are good or useful. It's more about the quality of the tests than the quantity.
  2. Not all tests are valuable; some can be complex and fail for reasons that don't matter, which can lead to false confidence in the code.
  3. The aim of testing should be to assure that your code works and to catch errors, instead of just trying to raise a coverage percentage.
Dev Interrupted 32 implied HN points 10 Jun 25
  1. AI will make software development faster and more efficient. It can help save time and reduce the amount of work needed to complete projects.
  2. Adopting AI in software development should be done with a clear plan. It's important to set rules and guidelines for how AI is used to ensure it benefits the team.
  3. There's a debate about the impact of AI on coding. Some people are skeptical, but many believe that AI will change how we work in really positive ways.
Splattern 39 implied HN points 27 Nov 23
  1. ChatGPT can help you build a simple website quickly, even if you have little coding experience. You can get a lot done with just a few prompts.
  2. It's easy to ask ChatGPT to tweak and improve your code, making debugging simpler. You can keep refining your work until it fits your needs.
  3. While ChatGPT is great for generating code, it might struggle with complex math or writing tasks, but you can guide it to get better results.
TheSequence 70 implied HN points 10 Jan 25
  1. Microsoft's Phi-4 is a new language model that's smaller in size but powerful in performance. It shows that high-quality data can make a big difference in AI.
  2. Phi-4 has 14 billion parameters, which means it can handle complex language tasks effectively. This model builds on the success of earlier Phi models.
  3. The innovations in Phi-4 come from its unique approach to training, focusing on pre-training, mid-training, and post-training stages to enhance its capabilities.
The Beep 19 implied HN points 10 Mar 24
  1. You can run large language models, like Llama2, on your own computer using a tool called Ollama. This allows you to use powerful AI without needing super high-tech hardware.
  2. Setting up Ollama is simple. You just need to download it and run a couple of commands in your terminal to get started.
  3. Once it's running, you can interact with the model like you would with any chatbot. This means you can type prompts and get responses directly from your own machine.
In My Tribe 182 implied HN points 15 Feb 24
  1. Bill Gates supports building general-purpose humanoid robots capable of multiple tasks, modeling them after people.
  2. Mark McNeilly predicts that AI will seduce humans rather than destroy us, leading to a decline in human interaction.
  3. There is potential to use large language models for tasks like contract reviews in legal and financial sectors, but resistance to fully relying on AI in certain professions may persist.
Abe 47 implied HN points 29 Mar 25
  1. Building software in-house can give companies a competitive edge since popular SaaS tools are often not tailored to specific needs. Developing custom solutions can lead to better efficiency and unique advantages in the market.
  2. The cost of creating in-house software has significantly decreased, making it easier for businesses to shift from relying on SaaS to building their own tools. This allows companies to focus on features that truly matter to them.
  3. More businesses should assess their current software expenses against potential in-house solutions. Companies that wish to stay competitive should consider building unique tools that enhance their operations, especially if they’re earning over $5 million annually.
TheSequence 35 implied HN points 28 May 25
  1. Magentic-UI is a new web interface by Microsoft that helps with complex tasks using AI. It allows people to work together with AI in a more effective way.
  2. This interface combines large language models with real-time feedback, making automation dynamic and secure. Users can complete multi-step tasks more easily.
  3. Agentic user experience is an emerging area in generative AI, and Magentic-UI aims to improve how we interact with AI beyond just chat interfaces.
normality’s Substack 3 HN points 25 Jul 24
  1. This personal management system uses plain text in Markdown format, making it easy to use and modify. You can adjust it to suit your own workflow without getting overwhelmed.
  2. It provides flexibility while still offering helpful structure, so you can prioritize your tasks effectively. You can customize it to include sections for today, this week, and even future tasks.
  3. Though it's a personal tool, it can help you keep track of your projects and milestones. You can also use it to document completed tasks, which can be handy for remembering what you’ve accomplished.
12challenges 171 implied HN points 18 Mar 24
  1. An AI OS is an operating system that uses AI to manage hardware and software on a computer.
  2. Without an OS, devices like laptops, phones, and smartwatches cannot communicate between each other.
  3. AI OSes can range from weak to strong depending on the level of permissions given to AI for managing hardware and software.
Rings of Saturn 29 implied HN points 21 Jun 25
  1. Omakase! Savers is a fun adventure game for the Sega Saturn released in 1996. It involves three girls who gain special powers to battle ghosts.
  2. The game allows players to use special names to unlock benefits like boosting character stats or accessing different episodes.
  3. There is also a hidden debug mode in the game that lets players change settings and access cutscenes, which can be useful for anyone interested in translating or modifying the game.
Sunday Letters 139 implied HN points 14 Nov 22
  1. Tech industries go through cycles of success and downturns, and it's normal for this to happen over time. Don't get too worried; things will recover again.
  2. Even though there are doubts about new technologies like AI, they can lead to significant advancements and solve real problems for people. Focus on what can be created, not just the challenges.
  3. Downturns can help companies become better and more disciplined. When money is tight, it encourages innovation and addressing genuine needs rather than just quick gains.
Sector 6 | The Newsletter of AIM 19 implied HN points 06 Mar 24
  1. Claude 3 has made competition in the cloud market very intense, especially between Microsoft, Google, and Amazon. Each company is trying to outdo the others by adding new AI features.
  2. OpenAI is under pressure to release GPT-5 as Claude 3 shows strong performance. This situation is causing some confusion for Microsoft Azure.
  3. Anthropic's Claude 3 outperformed OpenAI's GPT-4 in several tests and is now available for businesses on platforms like Amazon Bedrock and Google Cloud. This gives businesses more options for AI tools.
Sector 6 | The Newsletter of AIM 19 implied HN points 05 Mar 24
  1. The new AI model, Hanooman, aims to promote ethical use of technology, inspired by the character Hanuman, known for using his power responsibly.
  2. Hanooman will have four different versions with various sizes and will support conversations in 11 Indian languages at launch.
  3. Future plans include expanding language support to cover all 22 official languages of India, enhancing accessibility for many users.
The Green Techpreneur 4 implied HN points 12 Dec 25
  1. EV charging often fails not because of hardware but because many vendors interpret standards differently, creating software fragmentation and frequent charging breakdowns.
  2. EVerest turns complex charging standards into shared, working code so chargers and backends can interoperate, letting a global community find and fix bugs faster and making charging more reliable.
  3. Placing the core under open governance built trust and a sustainable model: the foundation stays free while companies buy enterprise tools like ChargeBridge and Pionix Cloud to deploy and scale.
LatchBio 23 implied HN points 23 Jul 25
  1. There's an upcoming webinar on July 29, 2025, focused on a new tool for analyzing spatial datasets. It's hosted by Takara Bio and LatchBio.
  2. The webinar will showcase various methods like image alignment and gene expression analysis, so attendees can learn about these important topics.
  3. Participants will get to see live demonstrations of how to use these new analysis methods, which can be very helpful for anyone working with the Seeker™ and Trekker™ datasets.
Rings of Saturn 58 implied HN points 05 Feb 25
  1. Power Stone for Dreamcast has a hidden debug menu for testing different features like sound and animations.
  2. Power Stone 2 also includes a debug menu that offers similar testing capabilities and extra features to explore character moves.
  3. Patches are available to access these hidden menus, enhancing the gaming experience for players who want to dive deeper into the games.
Brad DeLong's Grasping Reality 169 implied HN points 04 Mar 24
  1. It's uncertain how current AML GPT LLMs will be most useful in the future, so spending too much time trying to master them may not be the best approach.
  2. Proper prompting is crucial when working with AML GPT LLMs as they can be capable of more than initially apparent. Good prompts can make tasks that seem impossible into achievable ones.
  3. Understanding the thought processes and effective way to prompt AML GPT LLMs is essential, as their responses can vary based on subtle changes or inadequate prompting.
Sector 6 | The Newsletter of AIM 39 implied HN points 15 Nov 23
  1. RAG stands for retrieval-augmented generation, which is becoming really popular in the tech world. People are eager to use it for their work.
  2. It offers many benefits like better access to current information and helps to verify sources. It's also efficient and cost-effective.
  3. Some see RAG as just a fancy version of prompt engineering, but others think it's essential for growing business applications.
Data People Etc. 53 implied HN points 24 Feb 25
  1. Frameworks can be used for both building and breaking worlds. It's important to understand how to exploit weaknesses in these structures.
  2. To weaken a dominant system, you can undermine its narrative, disrupt key players, and challenge established norms. This approach can create doubts and resistance.
  3. Destroying a world can teach us about resilience. Strengthening systems and protocols is crucial to support and maintain their relevance in changing times.
Artificial Ignorance 54 implied HN points 21 Feb 25
  1. Grok 3 is a new AI model that shows great reasoning capabilities, ranking well in benchmarks, but it's still behind a future model called o3. Many early reviews say it has potential.
  2. Meta is focusing on building humanoid robots, believing they could be a big part of the future, while also working on software to support these robots. Competition in this area is heating up, especially from companies like Apple.
  3. There's a growing concern that new junior developers lack coding skills because they rely too much on AI tools, which may hurt their understanding of how programming works.
Rethinking Software 99 implied HN points 02 Sep 24
  1. Literate programming is a fun way to write and document code. It's like mixing storytelling with coding, making the process more enjoyable.
  2. Using tools like Organic Markdown, you can easily manage and run code alongside your documentation in a Markdown editor. It helps keep everything organized and readable.
  3. This programming style allows for creative flexibility, like rearranging sections of code for better clarity and using command outputs as if they were code. It feels almost magical!
Peter's Newsletter 39 implied HN points 12 Nov 23
  1. Applications in the future might assume end-users can code, even if they don't know how.
  2. Coding tools will become more accessible to non-engineers with the help of language models.
  3. Business apps will integrate developer features and concepts to meet the programming demands of end-users.
Sarah's Newsletter 179 implied HN points 01 Mar 22
  1. SaaS debt occurs when maintaining SaaS tools involves more manual work than automated work, leading to inefficiencies and chaos.
  2. Business teams can benefit from understanding concepts like templating, testing, and versioning to build scalable operational processes and avoid accumulating SaaS debt.
  3. Implementing modular systems, testing processes, and versioning workflows can save time in the long run and prevent errors in operational tasks.
Fprox’s Substack 62 implied HN points 11 Jan 25
  1. The Number Theoretic Transform (NTT) can speed up polynomial multiplications, which are important for modern cryptography. Optimizing how this process works leads to significant performance improvements.
  2. Using assembly language can help tailor code for specific hardware, allowing more direct control over how instructions are executed, which can greatly enhance speed.
  3. Combining multiple steps of the NTT process into fewer loops and minimizing unnecessary calculations can lead to much lower execution times, achieving targets that seemed difficult at first.
Rings of Saturn 29 implied HN points 11 Jun 25
  1. The games Strikers 1945 and Sengoku Blade have hidden cheat codes that let you access features like test modes and invincibility. You just need to enter the right button sequences at the start.
  2. For Strikers 1945 on Saturn, you can skip levels and even make your character invincible, giving you a fun way to enjoy the game without dying.
  3. Both games can be accessed in a special test mode by holding the Start button during boot-up, offering players a look behind the scenes of the game.
Artificial Ignorance 58 implied HN points 31 Jan 25
  1. DeepSeek is a new Chinese AI company making big waves in the tech world with its advanced models. Other companies are quickly trying to integrate or copy what DeepSeek has done.
  2. DeepSeek's rapid growth is causing worries for US AI firms, pushing them to seek more domestic investment and tighter regulations on foreign tech. This competition could change the landscape of the AI industry.
  3. There are concerns about DeepSeek's chatbot, which has a high failure rate on news prompts. Some companies are blocking it due to data leaks and privacy issues, raising alarms about user safety.