The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Is Big Tech using Data Laundering to cheat artists?[Storytime Saturdays]

Technology Made Simple • 39 implied HN points • 21 Nov 22
🕹 Technology Art AI Data Copyright Ethics
  1. Data Laundering involves converting stolen data to make it seem legitimate for different uses.
  2. Big Tech companies use non-profits to create datasets/models for research, then monetize them into APIs without compensating artists.
  3. There is a double standard between how Tech companies treat music and visual art, with considerations about replicating music, copyright standards, and the ethical aspects of compensation.

Weekly Dose of Optimism #81

Not Boring by Packy McCormick • 84 implied HN points • 16 Feb 24
🕹 Technology Space Biotech AI Tech Culture Futurism
  1. SpaceX launched a private lander, Odysseus, aiming for the moon on a pioneering mission, marking a significant step in private space exploration and NASA's Artemis program
  2. Researchers in South Korea developed a method to grow beef on rice grains, creating a rice-beef hybrid that can enhance the nutritional value of rice-based diets in many parts of Asia
  3. A breakthrough in quantum technology allows for room-temperature quantum optomechanics, opening doors for practical applications of quantum control and observation

Need for Speed 3: Coming soon, from a Meituan warehouse near you!

Tech Buzz China Insider • 19 implied HN points • 12 Nov 23
🕹 Technology E-commerce Logistics Digital Platforms Market Analysis
  1. Meituan Maicai is a major player in the front-end warehouse market, focusing on first-tier cities and expanding strategically to increase efficiency and reduce costs.
  2. Unlike its competitors, Meituan Maicai has a cautious expansion strategy, utilizing big data and real-time analysis to drive decision-making and enhance customer experience.
  3. The front-end warehouse model's success relies on adapting to consumer habits and demands, as seen through Meituan's efforts to improve efficiency and stay competitive in the evolving market.

The 11 Types Of Toxic Pull Requests (According To 4.5 Million Code Branches)

Dev Interrupted • 121 implied HN points • 31 Aug 23
🕹 Technology Software Engineering Code Review Workflow management Collaboration Continuous Integration
  1. Poorly managed pull requests can harm developer productivity by creating bottlenecks.
  2. Common issues in pull request management include lack of process, standardization, and visibility.
  3. Toxic pull requests can be categorized into 11 types, such as outdated code, lacking documentation, and risky changes.

[Q4 CY23] ARM Special

Irrational Analysis • 19 implied HN points • 12 Nov 23
🕹 Technology Semiconductors AI CPU RISC-V Royalties
  1. ARM's royalty revenue faces challenges with declines in smartphone sales and RISC-V gaining share in embedded markets.
  2. AI trend shifts workloads from CPUs to specialized hardware, posing a challenge to ARM's value capture.
  3. ARM is expanding and investing in compute capabilities, but questions arise regarding the outcomes of these efforts, especially in the face of evolving industry dynamics.
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Google Goes Small and Open Source with Gemma

TheSequence • 84 implied HN points • 25 Feb 24
🕹 Technology AI Open Source Generative AI ML Research AI Tech Releases
  1. Google released Gemma, a family of small open-source language models based on the architecture of its Gemini model. Gemma is designed to be more accessible and easier to work with than larger models.
  2. Open-source efforts in generative AI, like Gemma, are gaining traction with companies like Google and Microsoft investing in smaller, more manageable models. This shift aims to make advanced AI models more widely usable and customizable.
  3. The rise of small language models (SLMs) like Gemma showcases a growing movement towards more efficient and specialized AI solutions. Companies are exploring ways to make AI technology more practical and adaptable for various applications.

🔐 How TPMs Can AI - Dealing with Difficult Engineers and Leaders

Building Rome(s) • 9 implied HN points • 09 Aug 25
🕹 Technology AI Management Productivity Tools Engineering
  1. Technical Program Managers (TPMs) can use AI tools to tackle common problems and improve their effectiveness. This approach can help them work smarter and enhance their impact.
  2. Real-world scenarios show how to deal with difficult engineering partners or leaders. These examples can inspire TPMs to think differently about their challenges.
  3. Using AI, like ChatGPT, can give TPMs various strategies tailored to their situations. Instead of just asking for solutions, they can seek advice that fits their style and goals.

Platforms don't exist

Metal Machine Music by Ben Tarnoff • 339 implied HN points • 22 Nov 19
🕹 Technology Digital Infrastructure Tech Policy Taxonomy
  1. A left tech policy should aim to reduce the central role of markets in people's lives through decommodification, providing resources as a right and enabling democratic decision-making.
  2. When considering tech platforms, it's essential to move beyond the generic term 'platforms' and analyze size, function, and type of power they have to guide regulation effectively.
  3. Methods of decommodification and democratization for digital infrastructures can include public ownership, cooperative ownership, non-ownership, or abolition, accompanied by legislative regulations on data usage and algorithms.

The Long Game 169: AI Investment Thesis, Peter Attia, Earth AI, Science-Based Lifting

The Long Game by Mehdi Yacoubi • 3 implied HN points • 19 Nov 25
🕹 Technology AI Machine Learning Startups Venture Capital Product Strategy Data science Healthtech
  1. Longevity works best when you focus on basics—build muscle, move often, eat and sleep reasonably well—and avoid turning health into constant self-surveillance that makes you feel fragile.
  2. The AI app market is unstable because foundational model providers can rapidly absorb app features, so most startups either need to generate quick cash, aim to be acquired, or specialize in niches with unique atom-level data, hardware, or heavy enterprise integration.
  3. Real competitive advantage comes from controlling the full loop: huge, cleaned datasets, continent-scale multimodal models, and cheap execution that ties AI to real-world testing, and founders should build from conviction rather than chasing what’s currently fundable.

War in the AI age

Comment is Freed • 39 implied HN points • 10 Nov 24
🕹 Technology AI Warfare Ethics Innovation Society
  1. AI is changing how wars are fought, especially with advanced technologies like drones. This creates new strategies and challenges for countries.
  2. The power of AI, especially large language models, is growing rapidly. This shift can change what it means to be human and how we interact with technology.
  3. AI could change negotiations and decision-making by providing vast knowledge and strategies. This might lead to heightened tensions, as AI could decide that conflict is the best solution.

How to crush your Daily Standups[Technique Tuesdays]

Technology Made Simple • 59 implied HN points • 12 Jul 22
🕹 Technology Development Software Engineering Communication Networking Career Advice
  1. Give detailed updates in your daily standups, including your decision-making process, collaborators, important information, and technical details.
  2. Involve more stakeholders by discussing how your work impacts others, inviting collaboration for better projects.
  3. Understand and express the 'why' behind your tasks, which provides context for creating thorough solutions and requires knowledge of both Computer Science and project economics.

AI Week That Was

Sector 6 | The Newsletter of AIM • 39 implied HN points • 19 Mar 23
🕹 Technology Artificial Intelligence Software Development Data science Machine Learning Tech Trends
  1. Alpaca 7B is a new AI model introduced by Stanford that performs well, similar to OpenAI's models, but is smaller and cheaper to use.
  2. The AI landscape is buzzing with exciting developments and new models, making it an interesting time for AI enthusiasts.
  3. The week highlights a range of impressive AI technologies, signaling that there's much more innovation to come in this field.

Hype or Hot Air

The Last Bear Standing • 36 implied HN points • 22 Nov 24
🕹 Technology Aviation Transportation Electric Vehicles Innovations
  1. Electric air taxis, or eVTOLs, are being developed to provide a new form of urban transportation with benefits like lower noise and zero emissions. However, the actual implementation faces many challenges.
  2. There are many companies competing to create eVTOLs, aiming for a future where flying taxis could become common in crowded cities. But just because the technology exists doesn't mean it's easy to bring it to market.
  3. Understanding the economics behind eVTOLs is crucial. It's not just about building them; they also need to make financial sense for businesses and consumers to use them effectively.

The Computers Are Disappearing.

The Digital Anthropologist • 19 implied HN points • 10 Nov 23
🕹 Technology AI Computers User Interfaces
  1. Computers are becoming less visible in our daily lives, blending into the background as they help us live more interesting and easier lives.
  2. The future may involve interacting with technology in more intuitive and less obtrusive ways, possibly through spoken commands, knobs, sliders, and interactive screens.
  3. As technology advances, we could see a shift towards simpler yet more sophisticated devices that perform tasks efficiently without unnecessary complexities or constant troubleshooting.

Bloom Filter [Systems Design Sundays]

Technology Made Simple • 59 implied HN points • 10 Jul 22
🕹 Technology Data Structures Algorithms Systems Design Interview Preparation
  1. Bloom Filters are probabilistic data structures used to efficiently test for membership.
  2. Bloom Filters work by having a bit array of size m with k hash functions mapping values to indices, setting the indices to 1 for a given input.
  3. Bloom Filters are great for reducing unnecessary disk access, but they can result in false positives and need regeneration as more values are added.

Edition 27: Secure by Design is important, but requires a different kind of industry effort to achieve it

Boring AppSec • 38 implied HN points • 10 Nov 24
🕹 Technology Cybersecurity Software Development Policy Analysis Vulnerability Management
  1. The Secure by Design initiative aims to improve software security, but it's unclear how effective it will actually be. Companies might just treat it as another compliance standard without real change.
  2. CISA's approach mixes good ideas with vague guidelines, making it hard for security teams to use effectively. This can lead to companies focusing on basic compliance instead of deeper security improvements.
  3. Awareness initiatives can be helpful, especially for new issues in cybersecurity, but they often become outdated. What worked in the past, like OWASP Top 10, may not be useful for current complex security challenges.

The One Billion Row Challenge in Rust: Part 1

Art’s Substack • 3 HN points • 12 Jun 24
🕹 Technology Programming Benchmarking Optimization Rust
  1. The One Billion Row Challenge in Rust involves writing a program to analyze temperature measurements from a huge file, requiring specific constraints for station names and temperature values.
  2. The initial naive implementation faced performance challenges due to reading the file line by line, prompting optimizations like skipping UTF-8 validation and using integer values for faster processing.
  3. Despite improvements in subsequent versions, performance was still slower than the reference implementation, calling for further enhancements in the next part of the challenge.

How to Use Github to Land your first software Job[Storytime Saturdays]

Technology Made Simple • 59 implied HN points • 09 Jul 22
🕹 Technology Career Advice Networking Open Source GitHub
  1. Using Github to land a software job can be beneficial for those who want to highlight their coding skills, but it's important to recognize the tradeoffs involved and be willing to put in the effort required.
  2. Common advice on gaining a job through GitHub, like contributing to open source projects extensively, may not always be the most optimal strategy. It's essential to approach GitHub as a social network and connect with like-minded individuals.
  3. Building a strong presence on GitHub requires dedication and time spent coding and engaging with communities. While it may offer an alternative path to job opportunities, there are no shortcuts in putting in the required work.

📌 ML Engineering Event: Mastering AI and ML at Production Scale at apply()

TheSequence • 84 implied HN points • 19 Feb 24
🕹 Technology AI ML
  1. The event offers real-world insights from engineering leaders on ML model deployment and best practices.
  2. Participants can engage in sponsor-free knowledge sharing sessions with peers, focusing on in-depth discussions.
  3. Attendees have the opportunity to network with a diverse group of AI and ML engineers, including industry veterans and emerging leaders.

($) Do We Need Sovereign AI?

Interconnected • 77 implied HN points • 17 Mar 24
🕹 Technology AI Cloud Computing Data Governance
  1. Sovereign AI is a concept gaining attention, especially with Nvidia's involvement, and raises questions about AI infrastructure and global talent flow.
  2. The idea of sovereign AI has potential benefits in addressing issues like hallucination and data governance that plague generative AI.
  3. Global discussions are evolving around the necessity of sovereign AI to tackle complex AI challenges and leverage economies of scale.

How I get Interviews without applying for jobs

Technology Made Simple • 79 implied HN points • 20 Mar 22
🕹 Technology Tech industry Job search
  1. Recruiters are actively looking for good developers on platforms like LinkedIn. The demand for skilled software engineers is high.
  2. Companies prioritize quality over quantity when hiring developers, leading to rigorous hiring processes.
  3. To improve your chances of getting interviews, focus on making your profiles ATS-friendly, gaining endorsements and recommendations, and acing LinkedIn skill assessments.

How to communicate the reality of AI-assisted engineering in today’s hype cycle

Engineering Enablement • 14 implied HN points • 11 Jun 25
🕹 Technology AI Software Engineering Productivity Data
  1. When adopting AI tools, focus on solving real problems instead of just their flashy promises. It's important to communicate how the tools address specific issues in your organization.
  2. Implementing AI tools requires serious support and training for developers. It's not just about giving access; you need to ensure the team knows how to use them effectively.
  3. Share the impact of AI in ways that matter to your audience. Use metrics that show how AI helps the team and the business, and tell a story that highlights its value to different stakeholders.

How to intellectually debate AI while completely missing the point

Platforms, AI, and the Economics of BigTech • 11 implied HN points • 20 Jul 25
🕹 Technology AI Economics Innovation Workplace Power Dynamics
  1. The debate about AI often splits into two sides: those who fear job loss and those who believe innovation benefits everyone. However, both miss the real issue: while technology can create more value, it doesn't mean everyone benefits equally.
  2. AI changes not just tasks but the entire structure of industries. This means that instead of just focusing on jobs, we should look at how AI shifts power and influence in the economy.
  3. To truly understand AI's impact, we need to think about how it transforms systems and competition, rather than just the tasks it performs or the jobs it might replace. This broad view helps us see who really gains or loses from these changes.

AI and the Government

Who is Robert Malone • 14 implied HN points • 12 Jun 25
🕹 Technology AI Government Data Innovation Research
  1. AI is now a big part of our online lives, whether we like it or not. It's being used in search engines, social media, and more, so it's important to learn how to use it effectively.
  2. Generative AI can create new content like text, images, and videos. By understanding and using generative AI tools, you can enhance your research and creativity.
  3. The government is increasingly using AI for various tasks, like identifying fraud and managing healthcare data. While there are risks, it's essential to engage with AI tools to stay in control rather than letting them control you.

From Rideshare to Robotaxi: Uber, Waymo, and the Future of Autonomous Vehicles

Gad’s Newsletter • 32 implied HN points • 30 Dec 24
🕹 Technology Autonomous Vehicles Market Dynamics Business Models User Experience
  1. Waymo's self-driving robotaxi offers a smoother experience than traditional ridesharing by eliminating awkward conversations and optimizing routes. This shows how autonomous vehicles can change the ride-hailing game.
  2. The ride-hailing market is shifting as new players like Waymo disrupt established companies like Uber. Despite Uber's strong network effects, low switching costs for users allow them to easily choose between different services.
  3. Different business models are emerging in autonomous vehicle ownership. Companies like Waymo focus on owning fleets for reliability, while Uber relies on independent drivers for flexibility, highlighting the need for partnerships in the evolving market.

Attention Explained: When to use Self, Graph, and Target-Aware Attention

Recommender systems • 16 implied HN points • 25 May 25
🕹 Technology AI Machine Learning Data science Computer Science
  1. Self-attention helps summarize a list of information, making it easier to find what's most relevant, like recent videos you watched.
  2. Graph attention looks at how items in a network relate to each other, like understanding social connections in a network.
  3. Target-aware attention checks how relevant certain items are based on your past choices or queries, helping improve recommendations.

Edition 29: Security slows down Change Management and we have a chance to fix it

Boring AppSec • 15 implied HN points • 27 May 25
🕹 Technology AI Change Management
  1. Change management in IT often slows down security processes, making it hard for teams to implement new features quickly. Many companies find this review process lengthy and unproductive.
  2. Using AI, like LLMs, could help automate security reviews, making the process faster and more efficient. This can potentially save days or weeks by compressing what used to take a long time into just a few minutes.
  3. Finding the right name for these new automated reviews is tricky, as the current options don't fully capture the goal. Still, the focus should be on how to secure changes rather than just assessing risks.

The 5 Levels of Sustainable Robotics

Robots & Startups • 19 implied HN points • 07 Nov 23
🕹 Technology Robotics Sustainability
  1. Robots can contribute significantly to advancing the UN Sustainable Development Goals beyond just the application area.
  2. In the field of Sustainable Robotics, it is important to consider not just how robotics can enhance sustainability in various applications, but also the associated costs and benefits.
  3. Subscribing to Robots & Startups allows access to more insights and a 7-day free trial for exploring posts like 'The 5 Levels of Sustainable Robotics.'

How to code for the future

CodeFaster • 36 implied HN points • 19 Nov 24
🕹 Technology Software Development Coding Practices Technical Debt System Design
  1. When coding for the future, it's important not to create more work for yourself later. Focus on avoiding technical debt instead of trying to predict every future need.
  2. Don't go overboard with coding. Keep your code simple and flexible, ensuring it can adapt to changes without adding extra complexity.
  3. Instead of trying to build reusable programs from the start, solve the immediate problem first. You can refactor and create reusable parts later if needed.

FunctionGemma, GPT‑5.2-Codex, Chatterbox Turbo, A2UI, Seedance 1.5 pro, GPT Image 1.5, SAM Audio, Wan2.6, LongCat-Video-Avatar, Mistral OCR 3, Ray3 Modify, FLUX.2 [max] and more

AI Brews • 2 implied HN points • 19 Dec 25
🕹 Technology Artificial Intelligence Machine Learning Generative AI Multimodal models Developer Tools Open Source Computer Vision
  1. AI development is accelerating around multimodal and audio‑video capabilities, with many new models that generate or edit high‑quality video, isolate sounds, and produce expressive, lip‑synced audio.
  2. The agent and developer ecosystem is maturing fast — plugin marketplaces, open agent standards, memory‑first agents, and UI/ workflow tools are making it much easier to build, extend, and deploy agentic applications.
  3. Open‑source and specialized releases are raising the bar for core capabilities like OCR, 3D view synthesis, image generation, code/documentation automation, and semantic search, bringing more practical AI tools to developers and creators.

Entrust mis-issues a certificate, Refuses To Follow CA/B Rules

Musings about WebPKI and Public Trust • 8 HN points • 15 Mar 24
🕹 Technology Cybersecurity Certificates Automation Incident Response Web Security
  1. Certificate Authorities can face incidents like misissuance or non-issuance, with misissuances often caused by human error or software bugs.
  2. Baselining Requirements set by the CA/B forum provide rules for dealing with certificate misissuances, including the timeline for revocation.
  3. Entrust's recent incident highlights a misissuance dilemma, where they continued misissuing certificates and refused to follow the proper revocation process, impacting thousands of Extended Validation certificates.

Cogito v2, GLM-4.5 , first open-source MoE Video Model, fully autonomous ML agent, FLUX.1 Krea [dev], Qwen3-Coder-Flash, Manus Wide Research, Runway Aleph, Intern-S1, Step3, Action Agent & more

AI Brews • 10 implied HN points • 01 Aug 25
🕹 Technology AI Machine Learning Open Source Software Development Innovations
  1. Several new AI models have been released, including models for reasoning and video generation. These advancements promise improved performance in various AI tasks.
  2. Open-source AI projects are on the rise, allowing developers and researchers to access and contribute to innovative AI technologies more easily.
  3. New features in AI tools, like autonomous agents and enhanced context management, are making it easier for users to navigate complex workflows and streamline their tasks.

Hello App Developer

Sector 6 | The Newsletter of AIM • 19 implied HN points • 07 Nov 23
🕹 Technology AI App Development Software Innovation Entrepreneurship
  1. OpenAI introduced GPT Builder, making it easier for anyone to create applications using conversational AI. This means more people can turn their ideas into apps without needing a lot of technical skills.
  2. Sam Altman emphasized that natural language will play a big role in how we use computers in the future. This shift could change the way we interact with technology every day.
  3. The announcement includes a 'Startup Mentor' app that provides advice to founders and developers. This app uses real-life knowledge and lectures from Altman to help guide new projects.

Why AI Won't Cause Unemployment

Marc Andreessen Substack • 163 HN points • 04 Mar 23
🕹 Technology AI Economy Regulation Innovation Automation
  1. Throughout history, fears of technology causing unemployment have not matched reality in capitalist economies.
  2. AI may face barriers due to regulations that already make technology illegal in many sectors of the economy.
  3. Sectors heavily regulated by the government see rising prices without technological innovation, while less regulated sectors witness falling prices due to technological advancement.