The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Texts as Toys

Breaking Smart • 170 implied HN points • 27 Jul 25
🕹 Technology AI
  1. Writing is like making toys, and reading is like playing with those toys. In the age of AI, we should embrace this playful approach to both activities.
  2. People often miss the fun aspect of using AI because they feel threatened by it or don't know how to interact with it effectively. Approaching AI with a playful mindset can unlock its potential.
  3. We need to adjust our expectations when using AI. Just as toys don’t perfectly represent real objects, AI outputs can also be quirky and not always accurate. Understanding this helps us enjoy the experience more.

The Sequence Radar #759: Grok 4.1, Gemini 3 Pro and the Agentic Stack, Plus a Personal Note

TheSequence • 56 implied HN points • 23 Nov 25
🕹 Technology AI
  1. Grok 4.1 is designed to be a more user-friendly AI model, improving reasoning and writing coherence. It’s not just a fun experiment anymore, but ready for real production work.
  2. Gemini 3 Pro is a powerful tool that can handle complex tasks and mixed media seamlessly, acting more like an engine for planning and execution than just a chatbot.
  3. The new Antigravity environment lets AI manage multiple tasks like coding and testing, making it a unique tool for developers to boost their workflow efficiently.

20 Predictions For AI in 2025

The Algorithmic Bridge • 573 implied HN points • 26 Dec 24
🕹 Technology AI
  1. Geopolitical issues are becoming more important than concerns about AI posing a threat to humanity. The struggle between democracy and authoritarianism will be at the forefront.
  2. AI advancements will lead to new products and services, with some expected to be quite expensive. However, there won't be a significant drop in jobs due to AI progress.
  3. Not all AI challenges will be solved, and mistakes will still happen. Even as AI improves, it will occasionally produce incorrect or 'hallucinated' information.

Goodbye, Menu Interfaces

In My Tribe • 440 implied HN points • 14 Feb 25
🕹 Technology AI
  1. Menu interfaces on websites may soon disappear. Instead of searching through menus, people will just ask AI what they need.
  2. Using AI means users can create their own features and functions. This makes getting information or services much easier and more personal.
  3. Web design jobs could change a lot as sites become less necessary. AI will interact with databases, and users will communicate with AI instead.

Horse rides Astronaut, redux

Marcus on AI • 1462 implied HN points • 13 Feb 24
🕹 Technology AI
  1. DALL-E 2 and Gemini Ultra struggled with complex prompts and concepts, showing limitations in language understanding.
  2. Proper prompts and iterations are crucial to achieve desired results with AI models like Gemini Ultra.
  3. Despite progress in some areas, challenges persist in neural networks' factuality and compositionality.
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AI and neuroscience

Technically • 21 implied HN points • 13 Jan 26
🕹 Technology AI
  1. Neural networks are deliberately inspired by the brain: they use many simple "neurons" wired together to detect patterns and process information.
  2. This brain-inspired approach has a long history and has been applied to real problems since early work by neuroscientists and engineers, showing the idea actually works in practice.
  3. The brain is still poorly understood, so AI only roughly approximates biological brains, and many researchers think learning more about the brain could be key to building far more powerful intelligence.

AI rights and human harms

imperfect offerings • 219 implied HN points • 17 Jan 24
🕹 Technology AI
  1. AI industry co-opts the term 'learning' to justify its innovations and obscure responsibilities
  2. There is a call for an AI rights movement, drawing parallels with animal rights that may oversimplify complex ethical issues
  3. Human rights are at risk when powerful corporations prioritize their interests over accountability and regulation in the development and deployment of AI technology

Lunduke's Quest - December 13, 2024

The Lunduke Journal of Technology • 574 implied HN points • 13 Dec 24
🕹 Technology AI
  1. Nerds share a common bond through their dislike of Regular Expressions. It's something many people can relate to.
  2. Community among tech enthusiasts is important, as it creates connections based on shared experiences.
  3. Humor can help bring people together, especially when it comes to challenging topics in technology.

MILKEN INSTITUTE REVIEW: Behind the Hype: What "AI" Is & Isn't

Brad DeLong's Grasping Reality • 176 implied HN points • 24 Jul 25
🕹 Technology AI
  1. AI is reshaping jobs and how companies operate, especially in Silicon Valley where big players are fighting for profit. It's changing the game of technology investment and control.
  2. Investors need to carefully consider whether they're joining a genuine revolution or just chasing another tech bubble like cryptocurrency. Understanding the real nature of AI is crucial.
  3. AI is really about complex models that process information, not the magical intelligence people often hype it up to be. There’s a big difference between the promise of AI and what it can actually do right now.

Good code is like a love letter to the next developer who will maintain it.

Elevate • 258 implied HN points • 21 Dec 23
🕹 Technology AI
  1. Good code is a form of communication and should be like a love letter to the next developer maintaining it, personal, sincere, and considerate.
  2. Design patterns and principles in code serve as a shared vocabulary for developers to create scalable, maintainable, and efficient solutions.
  3. Writing good code involves adhering to established best practices like consistent formatting, error handling, testing, and empathy towards other developers.

AI-Designed Enzymes

Asimov Press • 457 implied HN points • 13 Feb 25
🔬 Science AI
  1. Researchers are now able to design complex enzymes from scratch using AI. This new ability could help create custom enzymes for various chemical reactions.
  2. The process of designing these enzymes is not easy, as they need to change shape during reactions. Scientists have developed methods to improve their ability to predict how these enzymes will work.
  3. Even though the newly designed enzymes are not as fast as natural ones yet, this work is a big step toward making more effective enzymes for scientific and industrial purposes.

Finding the CAP theorem of agents

Sunday Letters • 59 implied HN points • 02 Jun 24
🕹 Technology AI
  1. The CAP theorem shows that in any distributed system, you can only achieve two out of three things: consistency, availability, or partition tolerance. This means when things go wrong, you have to choose which one you're willing to sacrifice.
  2. In AI programming, there's a similar tension between using complex AI models and the need for reliable, deterministic code. Balancing these two aspects is a challenge, much like the early challenges with web applications.
  3. As technology evolves, the understanding and frameworks around these issues may improve. Just like how programmers now design around the CAP theorem, we might see better solutions and choices for AI challenges in the future.

Building LLM-powered Apps: What You Need to Know

Gradient Flow • 519 implied HN points • 06 Apr 23
🕹 Technology AI
  1. Developers can now create AI-powered applications without deep machine learning knowledge, opening up opportunities for rapid experimentation and innovation.
  2. Building custom large language models (LLMs) is becoming more accessible through startups offering resources for model fine-tuning or training from scratch.
  3. Integration of custom LLMs with third-party services, utilizing knowledge bases, and serving models efficiently are key areas of focus for developers in the AI application space.

Proofreading an entire book with GPT-4 for $6.88

Mindful Modeler • 479 implied HN points • 02 May 23
🕹 Technology AI
  1. Proofreading an entire book with GPT-4 can help automate tasks like improving grammar, language, and cutting clutter in a draft.
  2. Using prompts to guide LLMs like GPT-4 is important for specific and successful outcomes in automated editing.
  3. The economic benefit of using GPT-4 for proofreading can be significant compared to hiring a professional proofreader, offering a balance between capabilities and cost.

Centaurs and Cyborgs on the Jagged Frontier

One Useful Thing • 1988 implied HN points • 16 Sep 23
🕹 Technology AI
  1. AIs can significantly enhance performance in professional work tasks.
  2. AIs work as skill levelers, boosting performance across different proficiency levels.
  3. Integrating AI into work tasks as 'Centaurs' or 'Cyborgs' can yield better and more varied results than using AI or human effort alone.

The Absentees

Cybernetic Forests • 119 implied HN points • 31 Mar 24
🎨 Art & Illustration AI
  1. Generative AI can inspire artists by showing them glimpses of new possibilities and creative combinations.
  2. Using AI in music creation can raise complex ethical concerns, such as issues of cultural appropriation and the impact on marginalized communities.
  3. Engaging with generative AI tools like Suno can lead to a disorienting yet intriguing creative process, challenging traditional notions of music-making and expression.

Scatterbrain: a letter from Knee-Jerk Land

The Leftovers • 159 implied HN points • 26 Feb 24
🎭️ Culture AI
  1. State-funded art in the UK is facing challenges due to expectations around political statements and reputational risks
  2. It's essential to be cautious of dependence on the state for art funding, as it can lead to limitations in artistic expression and self-defeatism
  3. The impact of AI on various cultural aspects is a growing concern, raising questions about the future of creativity and human innovation

Physics Professors Are Using AI Models as Physics Tutors

The Algorithmic Bridge • 552 implied HN points • 27 Dec 24
🕹 Technology AI
  1. AI is being used by physics professors as personal tutors, showing its advanced capabilities in helping experts learn. This might surprise people who believe AI isn't very smart.
  2. Just like in chess, where computers have helped human players improve, AI is now helping physicists revisit old concepts and possibly discover new theories.
  3. The acceptance of AI by top physicists suggests that even in complex fields, machines can enhance human understanding, challenging common beliefs about AI's limitations.

Not The Future

Fragmentary • 373 implied HN points • 17 Feb 23
🕹 Technology AI
  1. AI will disrupt our lives, but its impact is yet to be fully understood.
  2. Using AI writing assistants can help with speed and efficiency but may lack the uniqueness of human creativity.
  3. The real threat is corporate greed, not AI technology.

Import AI 330: Palantir's AI-War future; BLOOMChat; and more money for distributed AI training

Import AI • 399 implied HN points • 22 May 23
🕹 Technology AI
  1. Palantir is making a big bet on AI for defense and intelligence, integrating it with large language models to enhance capabilities for conflict-based scenarios.
  2. SambaNova introduces BLOOMChat as a competitor to chatGPT, showcasing the ongoing race between open source models and proprietary ones in the field of AI development.
  3. Startup Together.xyz secures $20m in funding to promote open source and decentralized AI development, aiming to make AI training more accessible and widespread.

Permissions, AI, and Plato’s Ideal API

Permit.io’s Substack • 79 implied HN points • 09 May 24
🕹 Technology AI
  1. APIs are now seen more as tools that users consume rather than just things developers create. This shift means we have to think about how APIs are used and managed from both ends.
  2. As APIs are used more, especially with AI, monitoring costs and handling errors are super important. Developers need to be careful about how many calls they make to avoid big bills and errors.
  3. The way we set permissions and handle security for APIs is changing. It's crucial to apply consistent security rules across all parts of an application, not just in isolated areas.

Regulate Tech — Big Time

OLD GOATS with Jonathan Alter • 373 implied HN points • 17 May 23
🕹 Technology AI
  1. Regulating the tech industry is crucial to protect safety, privacy, and competition.
  2. Tech companies like Facebook and Google have shifted from empowering people to exploiting human weaknesses.
  3. Strong bipartisan support is needed to address the harmful impacts of technology on democracy and public health.

The Go-To-Market silver bullet

Top of the Lyne • 373 implied HN points • 13 Apr 23
💼 Business AI
  1. Pictory used Behavioral AI and in-app nudges to boost Net Revenue Retention by 14%.
  2. Pictory faced challenges with high churn rates and poor free-to-paid conversions.
  3. The use of Behavioral AI and in-app nudges led to a 38% increase in free-to-paid conversions in just three weeks.

Transforming Meetings & Management, The New Bit Set By Apple For The Immersive Era, & The Great Refactor Of Creativity

Implications, by Scott Belsky • 373 implied HN points • 06 Jun 23
🕹 Technology AI
  1. Meetings and management will be reimagined with AI-driven efficiency and productivity, creating 'intelligent organizations'.
  2. Apple's VisionOS sets a new standard for immersive experiences with gestures, virtual representation, and advanced technology.
  3. Generative AI technology will revolutionize creativity by reducing mundane tasks, shifting processes, increasing possibilities, and making tools more accessible for all.

Practical Prompt Engineering (Part One)

Deep (Learning) Focus • 373 implied HN points • 01 May 23
🕹 Technology AI
  1. LLMs are powerful due to their generic text-to-text format for solving a variety of tasks.
  2. Prompt engineering is crucial for maximizing LLM performance by crafting detailed and specific prompts.
  3. Techniques like zero and few-shot learning, as well as instruction prompting, can optimize LLM performance for different tasks.

The Sequence AI of the Week #781: The Amazing GLM 4.7

TheSequence • 28 implied HN points • 31 Dec 25
🕹 Technology AI
  1. GLM-4.7 is built to act like an "employee" rather than a chatty companion, prioritizing reliable task execution over conversational flair.
  2. Its architecture—mixing a mixture-of-experts design with a "Preserved Thinking" approach—is optimized for long-context loops, terminal error recovery, and stateful reasoning to handle real-world workflows.
  3. As an open-weight model focused on engineering and autonomous workflows, it’s positioned to become a standard choice for software development and task automation in 2026.

The Black Spatula Project

Am I Stronger Yet? • 564 implied HN points • 18 Dec 24
🕹 Technology AI
  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.

Infinite Context Length 🤯

Sector 6 | The Newsletter of AIM • 99 implied HN points • 18 Apr 24
🕹 Technology AI
  1. Meta has introduced MEGALODON, a new neural architecture that allows for infinite context length in AI, making it more efficient than previous models.
  2. With developments from Microsoft, Google, and Meta, the focus will shift away from which model has the highest context length, as all will likely have infinite capabilities soon.
  3. The upcoming Llama-3 model is expected to continue this trend by also supporting infinite context length, enhancing its utility in various applications.

Generative UI from Gemini 3 Pro

Jakob Nielsen on UX • 56 implied HN points • 19 Nov 25
🕹 Technology AI
  1. Google's new Gemini 3 Pro creates user interfaces that are tailored specifically to individuals. This 'Generative UI' means that users can get exactly what they need when they need it.
  2. In user testing, people preferred the AI-generated interfaces over traditional website designs about 90% of the time. This shows how much easier and more effective these personalized interfaces can be compared to regular sites.
  3. Even though human designers still have a slight edge in quality, AI is improving rapidly. It's likely that in just a couple of years, AI will become better than humans at creating effective user interfaces.

⤴↗📈 Has the Great Upshift arrived?

Faster, Please! • 1462 implied HN points • 01 Feb 24
🕹 Technology AI
  1. US productivity growth has been on the rise, showing positive signs
  2. The current productivity upturn could be sustained and lead to significant economic benefits
  3. Advances in artificial intelligence and strong productivity numbers are contributing to potential long-term economic dynamism

GPTs Are Maxed Out

The Algorithmic Bridge • 647 implied HN points • 11 Nov 24
🕹 Technology AI
  1. AI companies are hitting limits with current models. Simply making AI bigger isn't creating better results like it used to.
  2. The upcoming models, like Orion, may not meet the high expectations set by previous versions. Users want more dramatic improvements and are getting frustrated.
  3. A new approach in AI may focus on real-time thinking, allowing models to give better answers by taking a bit more time, though this could test users' patience.

Why Isn't the Car Driving?

Tippets by Taps • 19 implied HN points • 07 Jan 26
🕹 Technology AI
  1. Self-driving tech loses its novelty fast and becomes an expected part of daily life after only a few weeks.
  2. Using self-driving removes low-level stress and cognitive load, turning long or stressful drives into relaxed, usable time.
  3. The real barrier is psychological trust, not capability — people resist ceding control to algorithms, though younger generations will accept it sooner.

The AI Wave Accelerates

Nonzero Newsletter • 485 implied HN points • 24 Jan 25
🕹 Technology AI
  1. New AI technology like OpenAI's Operator can help with tasks, but it's still not perfect and makes mistakes. This shows that AI is getting better, but we need to manage our expectations.
  2. There's a growing belief among experts that advanced AI could be here sooner than expected. This brings both excitement and concern about what it means for jobs and society.
  3. Recent events highlight the importance of careful thinking and understanding before jumping to conclusions, like in the case of undersea cable damages where initial fears of sabotage were proven wrong.

Weekly Dose of Optimism #154

Not Boring by Packy McCormick • 167 implied HN points • 25 Jul 25
🕹 Technology AI
  1. The U.S. has launched an AI Action Plan focusing on innovation and building infrastructure to lead in artificial intelligence. This plan aims for faster and more flexible policies to keep up with rapid tech advancements.
  2. Google DeepMind's AI model called Aeneas helps historians understand ancient texts better by predicting missing information and suggesting dates. This tool can reshape how we connect with and interpret our historical past.
  3. A new male birth control pill, YCT-529, shows promise in blocking sperm production safely. This could provide men with more contraceptive options, balancing the responsibilities in family planning.

RAG Survey & Available Research

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 27 Jun 24
🕹 Technology AI
  1. Retrieval-Augmented Generation (RAG) mixes retrieval methods with learning systems to help large language models use real-time data.
  2. RAG can enhance the accuracy of language models by incorporating current information, avoiding wrong answers that might come from outdated knowledge.
  3. The framework of RAG includes steps like pre-retrieval, retrieval, post-retrieval, and generation, each contributing to better outputs in language processing tasks.

Backstage’s journey from spreadsheets to global IDP standard | Spotify’s Tyson Singer

Dev Interrupted • 14 implied HN points • 20 Jan 26
🕹 Technology AI
  1. Backstage evolved from spreadsheets into a company-wide developer portal (Portal) that uses golden paths and an AI Knowledge Assistant to scale support and cut internal tickets nearly in half.
  2. New agentic AI tools like Cowork, Gas Town, and Loom are moving AI from giving advice to doing work autonomously, which creates a need for complex orchestration and tiny task decomposition.
  3. The engineer role is shifting from solo coder to conductor of digital workers, so raw output metrics (like diffs per developer) can mislead and teams should focus on judgment, system design, and sustainable processes.

✨ The Age of AI, an update: A Quick Q&A with … economist Michael Strain

Faster, Please! • 456 implied HN points • 06 Feb 25
🕹 Technology AI
  1. Generative AI has the potential to change how businesses work and boost productivity, but we are still in the early stages of using it in everyday jobs.
  2. It's important for workers, especially in white-collar jobs, to adapt by learning to use AI tools to enhance their productivity and value to employers.
  3. Instead of fearing job loss, workers should focus on developing new skills that complement AI, allowing them to stay relevant in their fields.

What to Watch in Robotics

Startup Pirate by Alex Alexakis • 176 implied HN points • 09 Feb 24
🕹 Technology AI
  1. Robotics is advancing rapidly, from cooking shrimp to automating tasks like folding laundry and making coffee.
  2. General Robotic Intelligence (GRI) is still missing, but platforms are being developed to enable robots to perform complex tasks in dynamic environments.
  3. Companies are working to make robotics accessible to small and medium-sized businesses, enabling them to automate tasks and stay competitive.