The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics
Disaffected Newsletter 899 implied HN points 13 Apr 23
  1. Substack has introduced a feature called 'Notes' that users cannot turn off. This feels like forced participation to many writers.
  2. Many writers joined Substack to avoid the constant notifications and pressure of social media like Twitter.
  3. The changes to Substack have made some users reconsider their support for the platform and their plans to continue using it.
Thái | Hacker | Kỹ sư tin tặc 1517 implied HN points 12 Jul 22
  1. Solving cybercrime cases during a pandemic can be challenging but rewarding, leading to new ideas and career advancements.
  2. Investigating cyber incidents requires thinking like a hacker to anticipate their next moves and gather crucial evidence.
  3. Learning from mistakes and conducting thorough investigations are crucial in cybersecurity to prevent future attacks and uncover hidden clues.
Odds and Ends of History 737 implied HN points 03 Dec 24
  1. If you used the Bluesky MP follows bot, it's a good idea to change your Bluesky password for safety. There's a small chance harmful code was on the server, but it seems unlikely any personal data was taken.
  2. The issue arose from outdated Wordpress code on a server that was unintentionally exploited, highlighting the importance of keeping software updated. Neglecting updates can lead to security problems.
  3. The creator of the bot took immediate action by shutting it down and ensuring no more data was at risk. He is being transparent about the issue to help others understand the risks and best practices.
Crossplay 235 implied HN points 30 Jan 24
  1. JDRF used Roblox to create spaces for kids with type 1 diabetes to connect and learn about the condition.
  2. When trying to engage with a younger audience on platforms like Roblox, it's important to understand the platform and its audience well.
  3. Charity Walk Simulator in Roblox by JDRF incentivized players to walk and learn about diabetes, showing success with over 2,500 virtual bears given away in 24 hours.
SeattleDataGuy’s Newsletter 612 implied HN points 07 Jan 25
  1. Iceberg will become popular, but not every business will adopt it. Many companies want simpler solutions that fit their needs without needing lots of complicated tools.
  2. SQL isn't going anywhere; it still works well for managing and querying data. People have realized that a bit of order in data is important for getting meaningful insights.
  3. AI use will become more practical, focusing on real-world applications rather than just hype. Companies will find specific tasks to automate using AI, making their workflows more efficient.
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News Items 235 implied HN points 30 Jan 24
  1. Neuralink is working on implantable computer interfaces for the human brain.
  2. Telepathy, Neuralink's first product, will enable controlling devices through thoughts.
  3. Initial users of Telepathy will be people who have lost limb function.
coldhealing 452 implied HN points 07 Apr 23
  1. Twitter implemented restrictions on interaction with posts containing Substack links to compete with Substack Notes.
  2. Platforms strive for dominance and monetization through user retention and restricting links to other platforms.
  3. Despite challenges and artificial inconveniences on social media, users seek diverse platforms for different purposes.
Data Analysis Journal 452 implied HN points 26 Jul 23
  1. The author reflects on three years of writing a newsletter about analytics, thanking supporters and subscribers.
  2. The author's newsletter aims to document their journey, bridge the gap between academics and industry, and encourage classic data analysis.
  3. The author shares insights on their writing strategy, the power of being small and independent, and future plans for the newsletter.
Liberty’s Highlights 452 implied HN points 22 Mar 23
  1. Find things that bring joy and sprinkle them in your life for small moments of delight.
  2. Consider how multi-lingualism can influence personality and thinking.
  3. Building things quickly can lead to more value and efficiency while avoiding additional costs.
Gad’s Newsletter 56 implied HN points 01 Dec 25
  1. AI infrastructure investment is skyrocketing, with tech giants investing billions in data centers and chips. This could lead to major changes in how AI is developed and used in the future.
  2. The bullwhip effect is making the supply chain for AI unpredictable, causing spikes in demand that may not match actual needs. This could result in periods of overordering and shortages.
  3. Despite potential oversupply and price drops, the long-term demand for AI technology is expected to be strong. This means the current build-out is more likely part of a lasting change in the tech landscape rather than a temporary bubble.
Faster, Please! 639 implied HN points 06 Jan 25
  1. In a few years, we might see AI agents start working alongside humans, which could really change how companies function.
  2. Tech leaders believe that powerful AI could lead to huge advances in science and medicine, speeding up progress significantly.
  3. While there is excitement about AI's potential, it's also important to manage the risks to make sure it benefits everyone.
SeattleDataGuy’s Newsletter 730 implied HN points 21 Nov 24
  1. It's important to avoid building complex systems just for the sake of it. Focus on creating infrastructure that actually helps your team and the business.
  2. If you don’t plan your data model, you’ll end up with a messy one. Always take the time to design it properly to make future work easier.
  3. Good communication is really powerful. Being able to share your ideas clearly can help you get support and make a bigger impact in your projects.
Cybernetic Forests 279 implied HN points 03 Jan 24
  1. The article discusses the implications of AI infrastructure and the lack of input from the right experts in the field.
  2. It highlights the presence of concerning content within AI training datasets like LAION-5B, raising ethical issues in generative AI systems.
  3. The author mentions being quoted in a Wired Magazine article about Generative AI in relation to Mickey Mouse, hinting at upcoming content on this topic.
Irrational Analysis 159 implied HN points 19 Mar 24
  1. The newsletter focuses heavily on the semiconductor industry and provides analysis based on public information and independent research.
  2. The author reflects on biases and encourages readers to form their opinions after reviewing the presented information.
  3. Jensen Huang from GTC 2024 Keynote introduces impressive innovations in the semiconductor field, like the RAS technology monitoring system and advancements in hardware design.
Book Post 216 implied HN points 09 Feb 24
  1. Big tech companies are cutting jobs while gaining significant market value, redirecting resources towards the development of artificial intelligence.
  2. There are concerns regarding the control and development of Artificial General Intelligence by large corporations, highlighting the need for more transparency and oversight.
  3. The race for AI development raises questions about the influence and power of tech giants, emphasizing the importance of ethical considerations and regulatory frameworks.
Gradient Flow 119 implied HN points 18 Apr 24
  1. Large enterprises are shifting towards in-house AI application development using foundation models, impacting the industry by enabling cost savings and customization.
  2. AI adoption rates among U.S. businesses are rapidly growing, expected to almost double by Fall 2024, with a focus on technology and development applications.
  3. Companies like TikTok and KPMG are adopting GenAI in different ways – TikTok invests heavily in content creation, while KPMG focuses on integrating AI into audit and advisory services, showcasing diverse applications of GenAI.
Artificial Ignorance 58 implied HN points 28 Nov 25
  1. Anthropic launched a new coding model, Claude Opus 4.5, which is cheaper than its last version and performs well, helping developers save costs.
  2. There is a memory chip shortage affecting tech companies, making electronics more expensive for consumers, as manufacturers focus on producing chips for AI instead of everyday devices.
  3. China is gaining ground in the AI market by releasing open-source models cheaply, while American companies stick to closed systems, which could reshape how information is shared globally.
Gradient Flow 399 implied HN points 02 Nov 23
  1. Knowledge graphs can enhance large language models (LLMs) by providing structured factual knowledge about the world, improving their reasoning abilities and usefulness for real-world applications.
  2. Augmenting pre-training of LLMs with knowledge graphs through techniques like integrating into training objectives and model inputs can create models proficient in language generation and factual knowledge.
  3. Enterprises can leverage their data to enhance LLM applications with knowledge graphs, as tools exist to automatically turn semi-structured data into structured knowledge graphs.
Wadds Inc. newsletter 39 implied HN points 08 Jul 24
  1. AI is becoming a key part of public relations, moving beyond trials to real use in daily tasks. This means teams are now figuring out how to best integrate AI tools into their work.
  2. AI offers significant benefits, like increased efficiency and productivity, but it requires a clear approach to adopt and adapt it effectively. Breaking down workflows is essential to understand where AI can help.
  3. The impact of AI on public relations is both a technology and a culture issue, meaning it's important for everyone in a team to learn and work together to make the most of these tools.
Import AI 439 implied HN points 09 Oct 23
  1. Google DeepMind and 33 labs created a large dataset for training robots, showing that using heterogeneous data and high-capacity models improves robot performance.
  2. Protests have begun against Facebook for releasing AI models that can be easily modified, raising concerns about AI safety becoming a political issue.
  3. Generative image models are displaying human-like qualities in tasks, like shape bias and understanding perceptual illusions, suggesting a convergence between AI systems and humans.
The AI Frontier 79 implied HN points 23 May 24
  1. Recent AI updates have sparked excitement and frustration; everyone interprets them differently, like a Rorschach test.
  2. The improvements in AI tech are impressive, particularly in multimodality, but their impact varies between consumer and enterprise applications.
  3. The AI market is growing rapidly, with hype increasing and many companies looking to innovate, but there are still big questions about the future and how to stay competitive.
The AI Frontier 59 implied HN points 13 Jun 24
  1. AI startups have a lot of room for innovation, even with big companies investing heavily in AI. There are still many opportunities for new ideas and products.
  2. Startups can take more risks and try out unusual ideas that bigger companies might avoid due to reputation concerns. This freedom can lead to exciting new products.
  3. While big companies have access to a lot of data and resources, startups can be more flexible and connect data from various sources. This can give them an advantage in creating better solutions for customers.
Data Science Weekly Newsletter 339 implied HN points 01 Dec 23
  1. Data science is evolving quickly, and it's important to stay updated with new advances and tools. Courses and reading lists can help you catch up and enhance your skills.
  2. Using machine learning to solve real-world problems, like correctly attributing quotes, shows the practical applications of data science. Collaboration between universities and organizations can lead to innovative solutions.
  3. The job market for data scientists is challenging right now. Many applicants are competing for limited positions, so if you're looking for a job, patience is key.
Infra Weekly Newsletter 4 implied HN points 26 Feb 26
  1. Openclaw is a must-see demo that hints at a revolutionary capability, but it also raises serious security and safety concerns that need urgent attention.
  2. Trying to build services "Made in EU" is harder than it sounds because app distribution and common logins still tie you to US platforms, but there are many affordable EU hosters, auth and mail providers and de-Googled options like Sailfish OS that help keep data in Europe and support technical sovereignty.
  3. NixOS offers strong reproducibility, atomic updates and rollbacks for infrastructure, so creating Kubernetes inside VMs with imperative tools like kubeadm can undercut that declarative approach; using Nix to manage clusters is educational but the tooling choices matter for true reproducibility.
Sunday Letters 39 implied HN points 07 Jul 24
  1. We are experiencing a shift in programming that changes how we interact with code and AI. Just like moving from desktop to cloud, this new way will come with challenges and need new thinking.
  2. Combining traditional coding with AI models is important. It's like writing music where the code provides a solid structure, while AI adds creativity and flexibility.
  3. To succeed in this new environment, programmers should keep learning and adapting, using both past knowledge and new technologies carefully together.
Don't Worry About the Vase 1657 implied HN points 22 Feb 24
  1. Gemini 1.5 introduces a breakthrough in long-context understanding by processing up to 1 million tokens, which means improved performance and longer context windows for AI models.
  2. The use of mixture-of-experts architecture in Gemini 1.5, alongside Transformer models, contributes to its overall enhanced performance, potentially giving Google an edge over competitors like GPT-4.
  3. Gemini 1.5 offers opportunities for new and improved applications, such as translation of low-resource languages like Kalamang, providing high-quality translations and enabling various innovative use cases.
Enterprise AI Trends 253 implied HN points 26 Jun 25
  1. ChatGPT can now perform 'Deep Research' using private documents from sources like Google Drive and Dropbox. This makes creating reports much easier for users.
  2. The ability to generate reports is significant because a lot of middle managers spend a lot of time on this task. It's a huge time-saver.
  3. This new feature could impact other apps that provide similar research functions, like Glean, making it a competitive landscape for AI applications.
The Engineering Manager 6 implied HN points 20 Feb 26
  1. AI and modern coding assistants make it easy for people with some technical background to build useful internal tools quickly, often in an afternoon.
  2. Small, imperfect tools that automate niche workflows—like auto-summarising issue trackers into a "bragdoc" or a single-priority planning and staffing app—solve real problems without needing production-grade software.
  3. Getting hands-on to build these tools removes the friction between wanting a tool and having one, letting teams be more practical, creative, and time-efficient without turning managers into full-time engineers.
Resilient Cyber 119 implied HN points 16 Apr 24
  1. It's important to build software with security in mind from the start, rather than trying to add it in later. This 'Secure-by-Design' approach can prevent many issues down the line.
  2. Software suppliers should take responsibility for the security of their products, as their decisions affect a lot of users. Customers shouldn't always have to 'patch and fix' flawed products themselves.
  3. The rapid growth of known software vulnerabilities is overwhelming for organizations. Instead of just telling them to fix everything quickly, we should push for better, more secure products from the beginning.
Gradient Flow 439 implied HN points 27 Jul 23
  1. Mastering Model Development & Optimization is crucial for building efficient and powerful Generative AI and Large Language Models. Scaling to large datasets, applying model compression strategies, and efficient model training are key aspects.
  2. Customizability & Fine-tuning are essential to adapt pre-existing LLMs to specific business needs. Techniques like fine-tuning and in-context learning help tailor LLMs for unique use cases, such as adjusting speech synthesis models for customized experiences.
  3. Investing in Operational Tooling & Infrastructure, including robust model hosting, orchestration, and maintenance tools, is vital for efficient and real-time deployment of AI systems in enterprises. Tools for logging, tracking, and enhancing LLM outputs ensure quality control and ongoing improvements.
VTEX’s Tech Blog 119 implied HN points 16 Apr 24
  1. VTEX improved their shopping cart system by switching from Amazon S3 to Amazon DynamoDB. This change was made to enhance speed and make the shopping experience better for users.
  2. They faced challenges because some shopping cart items were too large for DynamoDB's limits. To fix this, they reduced the data size and created a process to store bigger items separately in S3.
  3. After gradually migrating to DynamoDB, VTEX achieved a 30% reduction in shopping cart API latency. This helped their overall efficiency and improved customer satisfaction.