The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

An Interview With Or Weis

ciamweekly • 62 implied HN points • 03 Feb 25
🕹 Technology Software Cybersecurity Entrepreneurship AI Developer Tools
  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.

The Sequence Research #543: The Leaderboard Illusion Challenges Chatbot Arena Type Benchmarks

TheSequence • 119 implied HN points • 16 May 25
🕹 Technology AI Machine Learning Benchmarks Data science Research
  1. Leaderboards in AI help direct research by showing who is doing well, but they can also create problems. They might not show the whole picture of how models really perform.
  2. The Chatbot Arena is a way to judge AI models based on user choices, but it has issues that make it unfair. Some big labs can take advantage of the system more than smaller ones.
  3. To make AI evaluations better, there need to be rules that ensure fairness and transparency. This way, everyone gets a fair chance in the AI race.

At least five interesting things for the middle of your week (#29)

Noahpinion • 10588 implied HN points • 28 Feb 24
🏥 Health & Wellness AI Food Science Manufacturing
  1. AI might help restore the middle class by narrowing the productivity gap between high-skilled and low-skilled workers.
  2. Americans can still afford food, with spending on groceries remaining steady while restaurant spending has increased.
  3. Native Americans in Canada are involved in urban development and industry, showing a potential avenue for economic growth and modernity.

Claude Sonnet 3.7 Compared with Previous AI Models

Jakob Nielsen on UX • 13 implied HN points • 25 Feb 25
🕹 Technology AI User Experience Web Design Usability Software Development
  1. The new AI model, Claude Sonnet 3.7, performs better than previous versions and outperforms other models, like Grok 3, in explaining key concepts like Jakob's Law.
  2. Jakob's Law highlights that users form their expectations based on their experiences with other websites. This means that following common design patterns is crucial for creating a user-friendly experience.
  3. Interactive demos created by AI can help users see how standard and non-standard designs affect usability, making it easier to understand the importance of sticking to familiar web conventions.

The Sequence Engineering #546: You Know MCP, but What About ACP

TheSequence • 84 implied HN points • 21 May 25
🕹 Technology AI Protocols Communication Systems Autonomy
  1. The Agent Communication Protocol (ACP) allows different AI agents to talk to each other easily. This makes their interactions more advanced and effective.
  2. ACP builds on the Model Context Protocol (MCP) but adds features for more complex conversations. It supports things like agent discovery and message management.
  3. Understanding both MCP and ACP is important for grasping how AI agents work together. They each play a unique role in improving AI communication.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Judgment Day Has Arrived for the Journalism Business

The Honest Broker • 30220 implied HN points • 07 May 23
💼 Business Journalism Media Subscription Advertising AI
  1. Media platforms struggling with advertising rely on gimmicky clickbait strategies that eventually fail.
  2. Subscription-based models are becoming successful in journalism, shifting the focus back to quality writing.
  3. AI-generated articles, the latest gimmick in media, reduce writing costs but sacrifice quality and are doomed to fail.

Yes, AI really can be used to tackle potholes

Odds and Ends of History • 2077 implied HN points • 17 Jan 25
🕹 Technology AI Infrastructure Data Innovation Public Services
  1. AI can help local councils find and fix potholes more efficiently. It uses cameras and algorithms to spot problems without needing workers to stop and inspect manually.
  2. The technology can identify not only potholes but also other issues like broken signs and overgrown vegetation. This means councils can be proactive in road maintenance.
  3. Using AI for road maintenance can save time and resources for councils. This allows them to collect useful data and prioritize repairs better, despite limited budgets.

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.

Inside the Crisis at Google

Big Technology • 9632 implied HN points • 01 Mar 24
🕹 Technology AI Corporate Ethics Crisis Management Innovation
  1. The crisis at Google, involving controversial AI outputs, highlights significant organizational dysfunction and lack of clear accountability.
  2. The focus on culture war narratives in analyzing the crisis may overlook deeper issues within Google's operations.
  3. Google's handling of the crisis with its Gemini tool demonstrated the company's struggle with transparency and the need for significant organizational changes.

The Black Spatula Project

Am I Stronger Yet? • 564 implied HN points • 18 Dec 24
🕹 Technology AI Science Research Programming Community
  1. A mistake in a scientific paper about black plastic utensils showed that math errors can change health implications. This finding led to a community initiative to check past papers for errors.
  2. The project aims to use AI to find mistakes in scientific papers, helping researchers ensure their work is accurate. This could lead to better practices in publishing and scientific research.
  3. Many ideas have emerged for improving how we check scientific work, such as creating tools to validate papers and verify information. The community is in the early stages of exploring these possibilities.

Bioaccelerationism Is a No-Brainer

Richard Hanania's Newsletter • 2682 implied HN points • 20 Dec 24
🕹 Technology Biotech AI Innovation Health Ethics
  1. Bioaccelerationism focuses on advancing biotechnology that improves reproduction, making it easier for couples to have children. New methods are coming out that can help reduce the stress and difficulty associated with traditional fertility treatments like IVF.
  2. Unlike some technologies that can quickly change the world, biotechnology develops slowly, giving society time to understand its effects. This means we can monitor and ensure safety as new methods emerge over time.
  3. The goals of biotech often align with the needs of parents and society. Developing health, intelligence, and beauty can benefit everyone, and the risks are generally limited to individuals or families rather than posing a threat to society as a whole.

Sam Altman Wants $7 Trillion

Astral Codex Ten • 16656 implied HN points • 13 Feb 24
🕹 Technology AI Machine Learning Artificial Intelligence Big Data Computing
  1. Sam Altman aims for $7 trillion for AI development, highlighting the drastic increase in costs and resources needed for each new generation of AI models.
  2. The cost of AI models like GPT-6 could potentially be a hindrance to their creation, but the promise of significant innovation and industry revolution may justify the investments.
  3. The approach to funding and scaling AI development can impact the pace of progress and the safety considerations surrounding the advancement of artificial intelligence.

How I got 27 hours in a week by installing one tool

High Growth Engineer • 1052 implied HN points • 17 Nov 24
🕹 Technology Productivity Tools Software AI Workflow Engineering
  1. Using tools like Raycast can save a lot of time by centralizing different functions on your computer. It allows you to quickly access apps and features, making your workflow smoother.
  2. Having features like an instant AI chat is really useful for quickly finding answers to questions without interrupting your flow. You can get help right when you need it, without the hassle of opening new tabs.
  3. Text expanders are great for saving time on repetitive typing. They let you create shortcuts for common phrases, making it faster to communicate and reducing effort in your daily tasks.

The Sequence Opinion #542 : Some Ideas About the Future of MCP

TheSequence • 112 implied HN points • 15 May 25
🕹 Technology AI Networking Protocols Integration Systems
  1. Model Context Protocol (MCP) is becoming really important for how AI models connect with tools and data. It's like how USB-C has made it easier for devices to connect with each other.
  2. MCP is evolving from just being a way to connect models to creating networks of AI systems that can work together and find resources dynamically. It's moving towards smarter and more flexible AI interactions.
  3. The future of MCP involves areas like better discovery methods and securing trust between AI agents. This is a shift towards creating more complex and coordinated systems that understand and use context effectively.

AI SOC Automation isn't the right problem to solve

Frankly Speaking • 152 implied HN points • 14 Jan 25
🕹 Technology AI Cybersecurity Information Security Data Analysis Automation
  1. Focusing on better detection engineering is key in security operations. It helps identify threats more effectively rather than just automating processes.
  2. Many traditional security operations centers (SOCs) may not be necessary for most companies. Smaller, more efficient models or managed detection services can be better alternatives.
  3. The future of SOCs is likely to involve fewer human analysts and more automation, emphasizing custom detections that fit the specific needs of a business.

The Present Future: AI's Impact Long Before Superintelligence

One Useful Thing • 1256 implied HN points • 04 Nov 24
🕹 Technology AI Automation Workplace Society Monitoring
  1. AI technology is rapidly evolving and can already perform many tasks that humans do, like monitoring and analyzing work environments. Even today, AI can help identify issues that need attention.
  2. Using AI for management and analysis can make work easier, but there are risks too. If not handled well, AI could lead to constant monitoring rather than support for workers.
  3. The choices companies make about AI right now will greatly impact how we work in the future. It's important to ensure that AI helps people, rather than replacing their skills or judging them unfairly.

✨🤖 Age of AI, meet the Robot Revolution

Faster, Please! • 731 implied HN points • 06 Dec 24
🕹 Technology AI Robotics Automation Innovation Future Trends
  1. AI robots are becoming much more common and can do many tasks themselves, like moving and sorting packages. This technology is quickly transforming how we work in places like warehouses.
  2. By 2035, there might be about 1.3 billion AI robots in use. This will grow to around 4 billion by 2050, showing a huge increase in robot presence in daily life.
  3. The combination of AI and robots is expected to change many aspects of our lives and job environments in the near future, making them an important part of our technological landscape.

🤖🚘 Even as GM retreats, self-driving cars continue to advance

Faster, Please! • 639 implied HN points • 12 Dec 24
🕹 Technology AI Automation Transportation Automotive Innovation
  1. Self-driving cars are still making progress, even as some big companies like GM pull back on their investments in this technology.
  2. Predictions about self-driving cars have often been overly optimistic, and the industry hasn't yet transformed the way many expected.
  3. As GM moves away from robotaxis, other companies like Waymo and Zoox are still pushing forward with their driverless vehicles.

AI keeps getting better at talking about consciousness

The Intrinsic Perspective • 13599 implied HN points • 13 Mar 24
🔬 Science AI Consciousness Philosophy Neurotechnology Biology
  1. Artificial Intelligence is advancing in discussing consciousness, raising questions about its implications
  2. There is a scientific imbalance between the understanding of creating AI and understanding consciousness
  3. Debates on AI consciousness highlight challenges in defining consciousness and its relation to AI capabilities

Native Speakers

Artificial Ignorance • 92 implied HN points • 05 Feb 25
🕹 Technology AI Software Automation Interfaces Development
  1. There are two main ways AI is changing our digital world. One way focuses on creating new tools and software that work best for AI, while the other makes AI adapt to the existing tools we already use.
  2. Using structured methods for AI can make software development easier and more efficient. However, there's also a benefit in letting AI learn from messy, human-centered systems which can lead to faster improvements and wider usage.
  3. The future of AI in our daily tasks may not be about choosing one approach over another. Instead, it will likely blend structured and unstructured methods, finding a balance that works for both humans and AIs.

Diffusion large language model, GPT‑4.5, 3.7 Sonnet, Wan2.1 open-source video model, Phi-4-multimodal, Proxy Lite, Omni-capable text and voice engine, Poe Apps and App Creator, FastRTC,Scribe and more

AI Brews • 5 implied HN points • 28 Feb 25
🕹 Technology AI Software Innovation Computing Digital
  1. GPT-4.5 has been released, improving pattern recognition and creative insights. This is a big step for AI technology and helps make better connections.
  2. New models like Claude 3.7 Sonnet and Mercury are making advancements in coding and video processing. These models are faster and more efficient than previous ones.
  3. Companies are launching tools that help with various tasks, like AI task management and seamless communication. These tools aim to reduce stress and improve productivity.

Humanoid Robots: China’s Grind Toward Embodied Intelligence

ChinaTalk • 400 implied HN points • 16 Dec 24
🕹 Technology AI Robotics Manufacturing Data science Innovation
  1. China aims to become a top producer of humanoid robots by 2027, planning to use them in various industries like manufacturing and services. This is partly because they face labor shortages and believe humanoids can do many tough jobs.
  2. Humanoid robots need advanced technology in hardware and AI to work well. This includes making them mimic human movements and learning from real-world experiences, which is still a big challenge.
  3. The automotive industry could be key for testing and improving humanoid robots. Car factories have structured environments that help robots learn new tasks safely while addressing labor shortages in that sector.

UX Roundup: Film Festival | AI Therapy | AI Radiology | AI Creative Writing | Grok 3

Jakob Nielsen on UX • 13 implied HN points • 24 Feb 25
🕹 Technology AI Health tech Creative Writing Film Usability
  1. AI technology has made significant strides in creative fields, like filmmaking, showcasing impressive work at events such as the AI Film Festival. Artists are using AI to create stunning visuals and stories, pushing the boundaries of what is possible.
  2. Research indicates that AI can perform on par with human therapists in couples therapy. Although AI therapy is cheaper and more accessible, many people still prefer human interaction due to trust and emotional connection.
  3. AI has demonstrated higher accuracy than human radiologists in medical diagnoses, particularly in breast cancer detection. This advancement has the potential to reduce workloads for doctors and improve early detection rates, highlighting AI's growing role in healthcare.

Agents, Agents, Agents

Teaching computers how to talk • 178 implied HN points • 20 Jan 25
🕹 Technology AI Software Innovation Business User Experience
  1. In 2025, AI agents are expected to become very popular, but there's skepticism about their real capabilities. Many companies are making bold claims, but it's important to see if the technology can truly deliver.
  2. The term 'AI agent' is being used a lot nowadays, but many so-called agents are just chatbots with limited functions. True AI agents should work independently and be able to interact meaningfully with their environment.
  3. Understanding user needs is crucial when integrating AI solutions. Companies should focus on solving real problems instead of simply adopting trendy technologies without considering their usefulness.

Sustainable Software, can you do something?

Cloud native with Saiyam • 39 implied HN points • 15 Oct 24
🕹 Technology Software AI Sustainability Infrastructure
  1. Cloud Native Sustainability Week is a global event focusing on making technology practices more sustainable. It encourages everyone to join discussions and learn about sustainable software integration.
  2. You can contribute to sustainable software efforts by participating in working groups and exploring specific technologies like Kubernetes. There are many projects people can join to help the cause.
  3. Upcoming events like KubeCon NA provide opportunities to learn about the latest tools in cloud-native landscapes. Attending talks and meetups can deepen your understanding and involvement in sustainability efforts.

Real-time AI Voice Agents and Determinism Through Tool-Calling

Impertinent • 79 implied HN points • 06 Oct 24
🕹 Technology AI Software Research Development Innovation
  1. Generative AI often faces uncertainty, but there may be ways to achieve reliable reasoning. It's exciting to learn that we can improve the predictability of AI outcomes.
  2. A big project in AI development can lead to many challenges and uncharted areas. Even if some efforts end in failure, it's important to find and build on the valuable lessons learned.
  3. Real-time AI voice agents have the potential to change how we interact with technology. This could make using AI smarter and more effective in our daily lives.

The Sequence Opinion #547: Best Practices I am Learning While Coding with AI Agents

TheSequence • 63 implied HN points • 22 May 25
🕹 Technology Software AI Engineering Coding Testing
  1. Software engineering is changing rapidly with the use of AI agents. Teams are now using AI to help speed up their work and take on new roles.
  2. AI agents are moving beyond just helping with code completion. They now can generate entire code bases, run tests, and manage pull requests automatically.
  3. Developers are shifting their focus from hands-on coding to more strategic tasks like code review and creating documentation, as AI handles more of the coding work.

The Sequence Radar #549: Google, Microsoft and Anthropic Monster AI Week

TheSequence • 49 implied HN points • 25 May 25
🕹 Technology AI Software Research Development Conferences
  1. Google is making big strides towards creating Artificial General Intelligence (AGI) with new models like Gemini 2.5 and features such as a universal AI assistant called Project Astra.
  2. Microsoft is focusing on 'agentic AI', which means they're developing AI that can work independently to complete complex tasks, supported by their new Azure AI Foundry.
  3. Anthropic introduced the Claude 4 series, which improves reasoning abilities in AI models and emphasizes safety and ethical behavior, helping developers build smarter AI systems.

Modern Meditations: Caleb Watney

The Generalist • 500 implied HN points • 19 Dec 24
🕹 Technology AI Startups R&D Biotechnology Governance
  1. We need to improve government hiring processes to attract good talent. Many talented people are turned off by low pay and slow bureaucratic procedures.
  2. Public investment in scientific research can lead to breakthroughs that the private market often ignores. Funding areas like disease research or innovative technologies can yield unexpected benefits for society.
  3. Understanding and improving how government works is essential. There are many effective ways to enhance efficiency that are often overlooked but can significantly help society.

The next big thing in 2025 will be...

next big thing • 243 implied HN points • 30 Dec 24
🕹 Technology AI Robotics Software Data Consumer Tech
  1. In 2025, we will see the rise of AI agents that can help automate tasks more efficiently and handle complex activities, making our lives easier.
  2. There will be a big shift in technology with AI becoming more integrated into our daily routines, making things like healthcare and language translation more personalized and seamless.
  3. Consumer healthcare will improve a lot as people gain more control over their health data, leading to a better experience and more trust in healthcare systems.

The Sequence Research #548: Why I Can't Stop Thinking About AlphaEvolve

TheSequence • 56 implied HN points • 23 May 25
🕹 Technology AI Software Research Innovation Algorithms
  1. AlphaEvolve is a new tool that uses AI to create and improve algorithms, which could be a big step toward achieving artificial general intelligence (AGI).
  2. It combines evolutionary methods with large language models, allowing it to discover and refine algorithms more efficiently.
  3. AlphaEvolve not only makes significant math discoveries but also helps improve Google's technology operations.

How Adaptive AI Microcontainers Outmaneuver Modern Cybersecurity Threats in AI Workloads

Phoenix Substack • 42 implied HN points • 06 Feb 25
🕹 Technology Cybersecurity AI Microservices Software Enterprise
  1. AI workloads are crucial for businesses but can attract cyber threats. These threats target predictable systems and can steal data or disrupt operations.
  2. Static security methods, like firewalls, are not enough to protect AI workloads. New challenges like lateral movement and data theft highlight the need for better security.
  3. Adaptive AI Microcontainers create secure environments by changing and healing themselves automatically. This makes it hard for hackers to predict or exploit the system.

Three threats to the age of energy abundance

Noahpinion • 7470 implied HN points • 14 Mar 24
🕹 Technology Energy Crypto AI Renewables
  1. The world is experiencing a new age of energy abundance due to advancements in solar power, batteries, and other renewable technologies, leading to increased productivity and numerous possibilities for innovation.
  2. Potential threats to this energy abundance come from the increasing demand for electricity driven by new digital technologies like Bitcoin and AI, as well as challenges in connecting new power sources to the U.S. electrical grid.
  3. Electricity demand in the U.S. is unexpectedly rising again after years of being flat, creating a need for better preparation and planning to meet the surging demand.

OK, I can partly explain the LLM chess weirdness now

DYNOMIGHT INTERNET NEWSLETTER • 796 implied HN points • 21 Nov 24
🕹 Technology AI LLMs Machine Learning Data science Chess
  1. LLMs like `gpt-3.5-turbo-instruct` can play chess well, but most other models struggle. Using specific prompts can improve their performance.
  2. Providing legal moves to LLMs can actually confuse them. Instead, repeating the game before making a move helps them make better decisions.
  3. Fine-tuning and giving examples both improve chess performance for LLMs, but combining them may not always yield the best results.

Street Smart

polymathematics • 159 implied HN points • 30 Aug 24
🕹 Technology AI Computing Innovation Community Applications
  1. Communal computing can connect people in a neighborhood by using technology in shared spaces. Imagine an app that helps you explore local history or find nearby restaurants right from your phone.
  2. AI could work for more than just individuals; it can help whole communities. For example, schools could have their own AI tutors to assist students together.
  3. There are cool projects like interactive tiles in neighborhoods that let people share information and connect with each other in real life, making technology feel more personal and community-focused.

⤴⤵ Up Wing/Down Wing #26

Faster, Please! • 822 implied HN points • 23 Nov 24
🕹 Technology AI Robotics Military Tech Genetics Space
  1. A robotics startup called Physical Intelligence is worth over $2 billion for creating AI-controlled robots that can do complex tasks like folding clothes. They use advanced technology that makes robots smarter and more capable.
  2. Trump is working with a startup called Anduril to improve the US military by adopting new technologies and cutting unnecessary costs. This shows a shift towards more innovative approaches in defense.
  3. Scientists have made tomatoes sweeter and bigger using a method called CRISPR. This could lead to tastier fruits in stores and lower production costs for things like tomato paste.

2024 Interconnects year in review

Democratizing Automation • 229 implied HN points • 31 Dec 24
🕹 Technology AI Policy Open Source Modeling Evaluation
  1. In 2024, AI continued to be the hottest topic, with major changes expected from OpenAI's new model. This shift will affect how AI is developed and used in the future.
  2. Writing regularly helped to clarify key AI ideas and track their importance. The focus areas included reinforcement learning, open-source AI, and new model releases.
  3. The landscape of open-source AI is changing, with fewer players and increased restrictions, which could impact its growth and collaboration opportunities.

Scaling Laws Meet Economics, but Adoption is still Accelerating

Mule’s Musings • 333 implied HN points • 19 Dec 24
🕹 Technology AI Economics Modeling Hardware Innovation
  1. Economics are very important when it comes to scaling tech, and while costs are rising, tools like ChatGPT are still becoming more popular. Understanding the balance of cost and usage is crucial.
  2. Scaling laws are changing, and relying solely on large pre-trained models may not be the best strategy anymore. Businesses might need to explore smaller models or alternative methods to improve efficiency and reduce costs.
  3. Adoption of AI technologies is still growing rapidly, which shows that despite challenges, many people are eager to use and integrate these tools into their lives.