The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Summer 2025 Update

Kesav’s Lab • 16 implied HN points • 01 Sep 25
🕹 Technology Biotech Health AI Startups Conferences
  1. Being in different environments like coffee shops or co-working spaces boosts my productivity. I find that I work better when I mix things up a bit.
  2. Attending events helps create chances for collaboration and opportunities. When I put myself out there, good things tend to happen.
  3. Austin has a great vibe for work-life balance. It's a relaxed place, while NYC feels fast-paced and intense, which can push me to be more productive.

Fear, loathing, and swap satire

The Jolly Contrarian • 59 implied HN points • 16 Apr 23
🕹 Technology Artificial Intelligence Machine Learning Chatbot Blockchain Internet
  1. Large language models have the potential to offer fresh perspectives and open up new opportunities due to their ability to make errors.
  2. By interacting with a large language model, individuals can generate creative ideas and elaborate storylines that they may not have considered otherwise.
  3. The collaboration between human imagination and large language models can lead to the development of complex and engaging narratives, showcasing the power of technology in enhancing creative processes.

AI Roundup 105: AI Action Summit

Artificial Ignorance • 54 implied HN points • 14 Feb 25
🕹 Technology AI Regulation Innovation Geopolitics Research
  1. AI regulation is slowing down as countries disagree on how to move forward. Some leaders are critical of existing acts, leading to a lack of international agreement.
  2. China is pushing ahead in an AI arms race, pushing other countries to provide more resources for AI development. Leaders in the industry are predicting rapid advancements in AI, suggesting it might drastically change society soon.
  3. Big tech companies are making strategic partnerships and adjustments to survive in the competitive AI landscape. For example, Apple plans to work with Alibaba for AI in China while other firms are focusing on custom AI designs to reduce dependency on major chip manufacturers.

#14 - Day 1 of Global AI Safety Governance

Navigating AI Risks • 39 implied HN points • 08 Nov 23
🕹 Technology AI risks AI Governance
  1. At the Global AI Safety Summit, an emerging international consensus on AI risks was established through the Bletchley Declaration signed by 27 countries and the EU.
  2. A new global panel of experts in AI safety was launched to publish a "State of AI Science" report, aiming to foster a unified scientific understanding of AI risks.
  3. The establishment of AI Safety Institutes by the UK and US, along with collaboration on safety testing, signifies a step towards accountability in evaluating and researching AI systems.

Human in an AI Age: Voice

The Future Does Not Fit In The Containers Of The Past • 22 implied HN points • 13 Jul 25
🕹 Technology AI Innovation Communication Creativity Education
  1. The future is all about how we combine our unique human qualities with AI. It's not enough to just use AI; we have to get creative and think differently.
  2. Finding and developing your 'voice' is very important. This means expressing your thoughts and feelings in a unique way that stands out.
  3. To thrive in an AI-driven world, we need to keep learning and exposing ourselves to new ideas. Explore different experiences to grow your perspective and taste.
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dlt windsurfing

davidj.substack • 71 implied HN points • 04 Dec 24
🕹 Technology Software Data Engineering AI Programming APIs
  1. dlt is a Python tool that helps organize messy data into clear, structured datasets. It's easy to use and can quickly load data from many sources.
  2. Using AI tools like Windsurf can make coding feel more collaborative. They help you find solutions faster and reduce the burden of coding from scratch.
  3. Storing data in formats like parquet can make processing much quicker. Simplifying your data handling can save you a lot of time and resources.

Syntax vs Semantics

Sunday Letters • 99 implied HN points • 13 Feb 23
🕹 Technology AI Software Innovation Digital Product Development
  1. There's a shift from focusing on strict rules in programming (syntax) to understanding meaning and context (semantics) with new AI models. This could change how we build software.
  2. Using language involves a lot of knowledge about the world, which helps AI understand context and meaning, not just following patterns.
  3. Just like the early internet, companies that don't adapt to new AI technologies and methods may soon seem irrelevant or 'invisible' in the digital space.

Reader Mailbag: Architect having a hard time letting go

Tech and Tea • 82 implied HN points • 27 Oct 24
🕹 Technology Software Development Team Management Project management Collaboration
  1. Building a good relationship with your architect is important. Showing that you appreciate his work can help create a positive atmosphere.
  2. Understanding why the architect is holding on too tightly to tasks can help you address his concerns. It might be about trust, feeling needed, or being overwhelmed.
  3. Start with small projects to help him delegate tasks. This can build trust and reduce his workload, allowing him to focus on more strategic aspects.

Why we archived a 5k+ Stars GitHub Open Source project

The Open Source Expert • 3 HN points • 21 Jul 24
🕹 Technology Open Source Software Development Community Management Product Management SaaS
  1. Sometimes, despite a lot of hard work and support, a project just doesn't succeed as hoped. It's important to recognize when to let go.
  2. Managing a community project and running a business can be very different. The needs of the community may not always align with business goals.
  3. Feeling overwhelmed by notifications and contributions can lead to burnout. It's key to balance community engagement with personal well-being.

Top 10 OSS Risks

Resilient Cyber • 99 implied HN points • 13 Mar 23
🕹 Technology Software Security Development Open Source Risk management
  1. Open Source Software (OSS) is widely used, making up a large part of many software applications. However, it's essential to be aware of the risks it poses, as vulnerabilities in OSS can impact many users simultaneously.
  2. One major risk is the compromise of legitimate OSS packages, where attackers can hijack code or repositories to insert malicious elements, which can then spread to organizations using that software.
  3. Another concern is outdated or unmaintained OSS, which can lead to security issues if the software isn’t updated regularly. Organizations need to keep track of the OSS they use and ensure it's actively maintained.

RDEL #31: How do developers fix their own bugs differently from other developers bugs?

Research-Driven Engineering Leadership • 19 implied HN points • 26 Feb 24
🕹 Technology Software Development Bug Fixing Research Testing Programming
  1. Bugs are inevitable in software development, and fixing bugs is a crucial part of the process.
  2. Developers tend to fix their own bugs faster than bugs introduced by other developers.
  3. Testing early in development helps catch and resolve bugs more efficiently.

Episode 29: Better Built By Burkhard

burkhardstubert • 139 implied HN points • 01 Nov 22
🕹 Technology Software Licensing Open Source Embedded Systems Business
  1. You can use Qt for free under the LGPLv3 license. This means many businesses can create products without paying for a commercial license.
  2. When making products for businesses (B2B), you have fewer requirements than for products sold to consumers (B2C). For B2B, you don't need to let customers modify the Qt version, while you do for B2C products.
  3. Deciding whether to pay for a Qt license should depend on what specific features your business needs, and comparing the costs of using Qt under LGPLv3 versus commercial options can help with that decision.

Blue Sky Mine

Internal exile • 77 implied HN points • 15 Nov 24
🕹 Technology Social media Digital Culture Content creation User engagement Media Critique
  1. Many users are leaving Twitter to join Bluesky, hoping for a better platform. They want a space that isn't dominated by negativity and misinformation.
  2. Bluesky is attracting users who still value text and reading in a world where video dominates social media. This platform might encourage meaningful conversations through writing.
  3. There's hope that Bluesky can create a new kind of online community focused on text-based interaction, instead of just chasing viral content like other platforms.

sqlmesh init duckdb

davidj.substack • 71 implied HN points • 03 Dec 24
🕹 Technology Data science Software Development APIs Analytics Cloud Computing
  1. There's a new public repository called bluesky-data where people can collaborate and follow along with its development. It's easy to get started by setting it up on your local machine.
  2. Using sqlmesh with the Bluesky data can provide real-time data availability, while also allowing for a more complete view of the data in a batch processing style. This means you can get both immediate updates and historical data.
  3. It's better to start with dlt and then initialize sqlmesh within that project. This way, you can efficiently manage large datasets without needing to compute everything each time.

The beginner’s guide to AI model architectures

Technically • 20 implied HN points • 05 Aug 25
🕹 Technology AI Machine Learning Neural Networks Algorithms Data science
  1. AI models are like blueprints, guiding how models are built and designed. Choosing the right design is key to solving specific problems effectively.
  2. Neurons mimic real brain functions and are the basic units that help AI learn patterns from data. They work by performing simple math repeatedly across many layers.
  3. There are many ways to connect these neurons, forming various network types, like feedforward or recurrent networks. Each type is good for different tasks, like language or vision.

Seven things I know after 25 years of development

zverok on lucid code • 57 implied HN points • 27 Jan 25
🕹 Technology Software Development Programming Conferences Technical Writing
  1. After many years of working in development, it's clear that balancing technical skills with human connection is crucial. Building good relationships can make a big difference in your career.
  2. Learning is a lifelong journey, and it's important to be open to new ideas and changes in the industry. Staying curious helps you adapt and grow.
  3. Reflecting on personal and professional lessons can lead to meaningful growth. Taking time to think about your experiences is valuable for future decisions.

Why Making a Non-Woke AI Is Actually Very Hard

The Future of Life • 19 implied HN points • 26 Feb 24
🕹 Technology AI Machine Learning Bias Programming Data science Ethics
  1. Language models learn from the data they are trained on, which often includes a lot of left-leaning content, making them reflect that bias.
  2. Adjusting a model's political views is complicated because it involves changing an entire worldview, which can mess up the quality of the responses.
  3. Creating a balanced AI requires new training methods, as current models can’t easily switch perspectives without losing their effectiveness.

The Sequence Opinion #485: What's Wrong With AI Benchmarks

TheSequence • 56 implied HN points • 06 Feb 25
🕹 Technology AI Data Evaluation Machine Learning Benchmarking
  1. AI benchmarks are currently facing issues like data contamination and memorization, which affect how accurately they evaluate models. It's important to find better ways to test these systems.
  2. New benchmarks are popping up all the time, making it hard to keep track of what each one measures. This could lead to confusion in understanding AI capabilities.
  3. There's a need for clearer and more standard methods in AI evaluation to really see how well these models perform and improve their reliability.

Can Machines Slip on Banana Peels?

Breaking Smart • 79 implied HN points • 30 Oct 24
🕹 Technology AI Robotics Design Engineering Systems
  1. It's funny when a self-important person slips on a banana peel because it shows their dignity being challenged. This humor comes from seeing someone with high self-esteem face an embarrassing moment.
  2. Machines can also have moments of failure, just like people. They slip up when their design looks seamless but actually has hidden flaws, similar to someone who overestimates their own abilities.
  3. Understanding the 'Contraption Factor' helps us analyze why machines fail. It shows a difference between how complex something is and how well it's designed, which can lead to unexpected problems.

Scaling the $10 Trillion Illusion & LLMs as the Dead End?

ppdispatch • 5 implied HN points • 09 Dec 25
🕹 Technology AI Programming Engineering Automation Cloud Computing
  1. Senior engineers excel at turning vague problems into clear plans, helping teams take action and avoid confusion.
  2. Decisions about programming languages often stem from personal biases, leading to costly mistakes instead of rational choices.
  3. Rushing AI development without proper foundations can create significant technical debt and unexpected costs, showing that speed isn't everything.

How Khan Academy Successfully Handled 2.5x Traffic in a Week[System Design Sundays]

Technology Made Simple • 79 implied HN points • 14 Nov 22
🕹 Technology System Design Google Cloud
  1. Combining common ideas can lead to great results. The fundamentals of utilizing serverless architecture and CDNs like Google Cloud and Fastly CDN were key to Khan Academy handling increased traffic.
  2. CDNs are important for scalability. They consist of servers distributed worldwide, enabling faster user interactions by caching content and optimizing server resources.
  3. Serverless architecture provides scalability and performance. By hosting applications on external servers, like those at Khan Academy, the system handled increased traffic efficiently without manual intervention.

The Story of Nel

Deus In Machina • 72 implied HN points • 29 Nov 24
🕹 Technology Programming Software AI Startups Development
  1. Real programmers often rely on their knowledge and skills rather than on tools like AI and autocomplete features to code. It highlights the importance of understanding the code at a fundamental level.
  2. Having face-to-face conversations and collaboration among team members helped boost productivity when technology failed. Working together led to better problem-solving and learning.
  3. Using simple, effective tools that fit your needs can lead to better coding experiences. Sometimes, going back to the basics can spark creativity and innovation.

Synthetic Data: How to Use LLM to Improve the Performance of LLM (WizardLM)

DataSyn’s Substack • 1 HN point • 27 Aug 24
🕹 Technology Artificial Intelligence Data science Machine Learning Software Development Privacy issues
  1. Synthetic data can help solve problems with real-world data, like data scarcity and privacy issues. By using artificial data, we can create large sets that are safe and more accessible.
  2. The Evol-Instruct method creates complex commands from simpler ones, which leads to richer training data for models. This process helps develop a variety of tasks for AI to learn from.
  3. Training models like WizardLM with synthetic data has shown to improve their performance significantly. It produces better responses compared to many other models, helping AI handle tougher challenges.

What else has been happening in robotics?

Robots & Startups • 59 implied HN points • 23 Apr 23
🕹 Technology Robotics AI
  1. The post discusses the state of AI in robotics and highlights Agility Robotics' perspective, offering a fresh view on the situation.
  2. There is concern about the level of misinformation and hype surrounding AI currently, indicating a need for clear and accurate information in this field.
  3. Readers can access more information and support the author's work by subscribing to the Robots & Startups publication.

✅ Monday briefing: GCS plan, death of PR degrees, AI tutor, AI jobs, Amazon AI, AI literacy, Project Magi, ad ban, Substack Notes, Facebook news, and more...

Wadds Inc. newsletter • 79 implied HN points • 17 Apr 23
🕹 Technology Artificial Intelligence Social media Governance Tools Industry
  1. The UK Government is focusing on using technology and skills in communication, creating an Innovation Hub to improve public engagement, especially with AI.
  2. Public relations degrees in the UK are declining sharply, as fewer universities offer them due to the changing job market that demands a wider skill set.
  3. Amazon has launched new AI tools to help developers create applications, signaling a growing trend of AI services in various industries.

The Sequence Chat: Why Transformers are the Best Thing that Ever Happened to NVIDIA

TheSequence • 84 implied HN points • 21 Oct 24
🕹 Technology AI Hardware Data Software Market Trends
  1. Transformers are special because they can learn from a lot of data without hitting a limit. This helps improve AI performance.
  2. NVIDIA has been able to fine-tune its hardware thanks to the widespread use of transformers in AI. This gives them a market edge.
  3. Most advanced transformer models rely on NVIDIA GPUs for their computing needs. This creates a strong connection between transformers and NVIDIA's success.

Import AI - coming soon to Substack

Import AI • 79 implied HN points • 16 Jan 23
🕹 Technology AI Substack
  1. Import AI is transitioning to Substack, with the first issue planned for Monday the 6th.
  2. Jack Clark will be the author behind Import AI on Substack.
  3. Readers can subscribe to Import AI on Substack to stay updated on AI-related content.

6 secrets for never being blocked again

Leading Developers • 57 implied HN points • 21 Jan 25
🕹 Technology DevOps Software Engineering Management Cloud
  1. Developers can avoid being blocked by working directly on DevOps tasks themselves, like opening Pull Requests instead of just making requests. This way, they learn and the DevOps team gets involved faster.
  2. Instead of just asking for help, it's better to ask intriguing questions that engage the DevOps team. It makes them think more creatively and motivates them to assist.
  3. Developers should create their own alerts for their applications. This helps them understand their changes better and ensures that they take responsibility for their work.

🗞 Stream Recap: Product Planning

🔮 Crafting Tech Teams • 39 implied HN points • 03 Nov 23
🕹 Technology Engineering Product Planning
  1. The next book club cohort is starting with the book 'Accelerate' next week, focusing on speed reading and mutual accountability
  2. Crafting Tech Teams is a reader-supported publication that offers the option to become a free or paid subscriber to receive new posts and support the work
  3. To keep reading and access the full post archives, there's a 7-day free trial available on 🔮 Crafting Tech Teams

NVIDIA Releases Nemotron 70B

TheSequence • 84 implied HN points • 20 Oct 24
🕹 Technology AI Models Machine Learning Software Development Tech Innovation Data Access
  1. NVIDIA just launched the Nemotron 70B model, and it's getting a lot of attention for its amazing performance. It's even outshining popular models like GPT-4.
  2. The model is designed to understand complex questions easily and give accurate answers without needing extra hints. This makes it really useful for a lot of different tasks.
  3. NVIDIA is making it easier for everyone to access this powerful AI by offering free tools online. This means more businesses can try out and use advanced language models for their needs.

The Combined Power of SAST and Threat Modeling

Resilient Cyber • 99 implied HN points • 07 Mar 23
🕹 Technology Cybersecurity Software Information Security Risk management
  1. Using SAST tools helps find security problems in an app's code. It's important to have tools that are easy to use and can be customized based on your needs.
  2. Threat modeling is about figuring out what security risks exist and how likely they are to happen. It helps you focus on the most important threats to your applications.
  3. Combining SAST and threat modeling makes both methods stronger. By knowing your threats, you can use SAST better to fix specific vulnerabilities in your software.

How things fail

Only Wonder Knows • 39 implied HN points • 03 Nov 23
🕹 Technology Testing Reliability Engineering
  1. Testing things to failure can reveal weaknesses and help improve reliability.
  2. The HALT test is an effective method to stress test products and discover design flaws.
  3. Each weakness identified in the HALT test presents an opportunity to enhance product reliability.

The end of scaling laws doesn't matter

Generating Conversation • 70 implied HN points • 05 Dec 24
🕹 Technology AI Development Software Applications User Experience Productivity Tools
  1. Even if LLMs stop improving, we can still create a lot of value by using the current technology better. Building more applications and spreading them widely is key.
  2. The main reasons companies resist using AI tools aren't usually about the technology itself. Instead, it's often about not having enough good applications or worrying about job losses.
  3. Improving the user experience of AI applications is very important. Products that make it easy and seamless for users to engage with AI are much more likely to succeed.

What Other Software Is Like CIAM?

ciamweekly • 62 implied HN points • 30 Dec 24
🕹 Technology Software Development Cloud Security Managed Services
  1. CIAM software is similar across different platforms, which makes it easy to use but also complex in its features.
  2. CIAM is very important for security since it manages sensitive data like passwords and personal information.
  3. Using managed services like CIAM helps developers save time and focus on building better software instead of handling complex login systems.

Intelligence Kingdoms

New World Same Humans • 58 implied HN points • 19 Jan 25
🕹 Technology AI Systems Geopolitics Chip Manufacturing Digital Age
  1. The US and China are racing to develop their own advanced AI systems. This competition is seen as crucial for future global power dynamics.
  2. The banning of TikTok in the US reflects a growing belief that it poses a threat as a Chinese intelligence tool, highlighting rising tensions between the two nations.
  3. There's a shift happening towards two separate technological worlds, with each side training their AIs to align with their own cultural values and ideologies.