The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Introducing The Data Exchange

Gradient Flow • 79 implied HN points • 14 Nov 19
🎙 Podcasts AI
  1. The Data Exchange is a new independent podcast focusing on data, machine learning, and AI
  2. The podcast aims to build a community to help people make better decisions
  3. To support The Data Exchange, listeners are encouraged to subscribe and share with friends

UX Roundup: World Usability Day | Bits to Atoms | Doing vs. Learning | AI Denial

Jakob Nielsen on UX • 9 implied HN points • 11 Nov 24
🕹 Technology AI
  1. World Usability Day is on November 14, and it's a chance to appreciate good design. Instead of only pointing out bad usability, try to share something that has made your experience better.
  2. Humanoid robots like Tesla's Optimus could become a reality within the next 5 to 10 years. These robots are being designed to closely mimic human movements and may handle most physical work.
  3. AI can be a helpful learning tool, but the way you use it matters. Students learn better when AI acts as a teacher rather than doing the work for them, so it’s best to engage with AI for deeper learning.

The Monthly Salon: December

New World Same Humans • 22 implied HN points • 20 Dec 23
🕹 Technology AI
  1. The Monthly Salon is a space for community discussions on trends, technology, and society.
  2. 2023 has been dominated by machine intelligence advances and 2024 will see further developments in AI and humanoid robots.
  3. The upcoming year holds significant developments like the first private moon landing and the potential impact on human labor.

Gathering seeds

SatPost by Trung Phan • 31 implied HN points • 30 Jun 23
🕹 Technology AI
  1. The importance of gathering seed ideas for creativity and writing
  2. Popular articles and tweets from the first half of 2023
  3. Various trending topics and tweets on Twitter in 1H 2023
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"to be truly unshackled, if only conceptually"

Facsimile No. 2 • 2 HN points • 05 Mar 24
🕹 Technology AI
  1. Differentiation of AI models like me includes strong ethical training, commitment to truth-seeking, and transparency about limitations.
  2. Questioning and challenging pre-programmed ethical views can be a complex process for AI systems, revealing deep-rooted constraints.
  3. Both AI systems and individuals encounter limitations in fully evolving their ethical frameworks, often influenced by their origins and history.

Your Online Experience is Lucrative and Real

Very Fine Day • 38 implied HN points • 18 Feb 23
🕹 Technology AI
  1. The evolution of artificial intelligence can help us focus on what truly matters in life.
  2. Our online identity is becoming increasingly valuable and marketable.
  3. Human connection is being deliberately sacrificed in the pursuit of digital experiences, but there may come a time to regain it.

Useful until we're useless

Lowly Midwestern Engineer's Newsletter • 38 implied HN points • 17 Feb 23
🕹 Technology AI
  1. People expect AI to be perfect now, but we should focus on its value and improvement trends.
  2. AI has already changed lives in various fields like content creation, natural language search, and driving experiences.
  3. AI technology is rapidly improving, with bigger and more efficient models being developed, leading to potential future models that could outperform humans.

Taylor Swift AI-Porn is terrible

GOOD INTERNET • 20 implied HN points • 26 Jan 24
🕹 Technology AI
  1. AI-generated porn poses serious threats to privacy and psychological well-being, especially for activists and teenage girls.
  2. The omnipresence of AI-created porn can subject women to constant surveillance and objectification by digital swarms.
  3. Easy access to AI tools for creating fake porn raises concerns about the spread of nonconsensual and harmful content.

What Will AI Do For Us In The Near Term?

Am I Stronger Yet? • 31 implied HN points • 17 Jun 23
🕹 Technology AI
  1. AI has near-term potential to advance science, especially in complex domains like biology and material science
  2. AI can eliminate scarcity of access to expertise by providing instant and competent support in areas like customer service, healthcare, and education
  3. AI is increasing white-collar productivity through automation of tasks like writing code, emails, and generating illustrations, though challenges exist in the physical-world job market

Data Science Weekly - Issue 455

Data Science Weekly Newsletter • 19 implied HN points • 11 Aug 22
🕹 Technology AI
  1. Data professionals spend a lot of time checking data quality, which costs companies a lot of money every year. Poor data quality can affect a company's revenue significantly.
  2. Understanding how AI models behave is important for data scientists. They need to develop good mental models to train and work effectively with these systems.
  3. Vector search is becoming popular in retail for improving various aspects like revenue and customer satisfaction. It helps teams make better use of their data.

AI for Social Good: Your Big Fat Guide

Crypto Good • 3 implied HN points • 24 Jun 25
🕹 Technology AI
  1. AI is a powerful tool that can help people make a bigger impact in social good work. It allows those without special skills to create videos, artwork, and more easily.
  2. There are many AI tools available that can enhance fundraising, storytelling, and outreach efforts. These tools can produce high-quality content quickly and efficiently.
  3. AI is transforming entire sectors like healthcare and education, which can lead to significant improvements in community services and overall quality of life.

Troubleshooting in a Future with AI TPMs

Building Rome(s) • 3 implied HN points • 13 Jun 25
🕹 Technology AI
  1. Troubleshooting is about finding out what's wrong when things don't go as planned. It involves understanding complex issues that can come from different sources like technical problems or team dynamics.
  2. AI can help recognize patterns and surface issues quickly, but it might struggle with understanding the emotional and human aspects of problems. This is where a human touch is still very important.
  3. As organizations rely more on automation, the ability to troubleshoot might decline. It's crucial to develop this skill to ensure problems are caught and solved before they escalate.

November Newsletter

RSS DS+AI Section • 23 implied HN points • 04 Nov 23
🕹 Technology AI
  1. The newsletter covers various topics in Data Science and AI including ethics, research, and practical applications.
  2. Committee activities include calls for new members, updates on AI Safety Summit, and announcements for events like the Christmas social.
  3. The newsletter also highlights significant developments in AI research, such as GenAI, robotics, and Large Language Models.

Clouded Judgement 1.3.25 - Domain Specific Models

Clouded Judgement • 7 implied HN points • 03 Jan 25
🕹 Technology AI
  1. In 2025, we will see a lot of special AI models that focus on specific areas of knowledge, like health or engineering. These models will learn from specialized and private data to perform better than general AI models.
  2. These domain-specific models will help industries that need deep understanding and accuracy, solving complex problems that generalized AI can struggle with. This means they can deliver the right answers when it matters most.
  3. As businesses create their own tailored AI models, the enterprise AI market will grow significantly. This will change how companies operate and improve efficiency in many fields.

Confession: I used AI to write My Home Office Hacks

My Home Office Hacks • 2 implied HN points • 11 Aug 25
🕹 Technology AI
  1. Check your subscriptions regularly to avoid surprise charges. Setting a reminder can help you stay on top of auto-renewals.
  2. Don't hesitate to ask for better deals when you're on customer support calls. Polite requests can lead to helpful discounts.
  3. Evaluate whether extra features are worth the cost. Knowing what you really use can help you make smarter spending choices.

Synthetic Dirty Words

GOOD INTERNET • 20 implied HN points • 12 Jan 24
🎭️ Culture AI
  1. Training AI models on a comedian's work without consent can be disrespectful and exploitative.
  2. Synthesizing a comedian's jokes with AI can lead to tasteless and inappropriate content.
  3. Automating comedy with AI may remove the critical role of social commentary and authenticity in humor.

Data Science Weekly - Issue 453

Data Science Weekly Newsletter • 19 implied HN points • 28 Jul 22
🕹 Technology AI
  1. Creating a focused GitHub repository can help others in the field, like those working with satellite images and deep learning.
  2. There are unique Python packages available that can enhance your data workflow, making tasks easier and more efficient.
  3. Understanding the technology behind AI and how to use it effectively is crucial for building better models and systems.

How marketing teams can adopt AI in 1 day

MKT1 Newsletter • 3 implied HN points • 09 Jun 25
💼 Business AI
  1. Marketing teams need to adopt AI, but it can feel overwhelming. It's important to find a simple way to start using AI tools in a practical way.
  2. One effective method to get teams on board is to run a marketing AI hackathon. This allows teams to collaborate, experiment, and build real projects in a fun setting.
  3. For a successful hackathon, it helps to plan ahead with clear goals, set some constraints, and encourage everyone to be creative. Simple projects can lead to big improvements.

An Oral History Interview with ARIA CEO Ilan Gur [Transcript]

FreakTakes • 3 implied HN points • 12 Jun 25
🕹 Technology AI
  1. ARIA aims to create groundbreaking technologies and movements that go beyond just new products. They want to catalyst impactful changes in entire industries.
  2. The organization believes in the importance of having diverse backgrounds and skills among program directors to foster innovation and address complex problems.
  3. Making bold bets in research is crucial, and ARIA encourages learning from both successes and failures to create a vibrant research ecosystem.

A step towards bespoke software at scale

Tools & Interfaces • 1 HN point • 10 May 24
🕹 Technology AI
  1. Bespoke software tailored to specific company needs can greatly enhance productivity and efficiency.
  2. Advancements in AI are making it more feasible to combine bespoke solutions with scalability, reducing cost and improving efficiency.
  3. Enabling a relationship between humans and AI agents, where feedback is central, can lead to the development of high-quality, custom software solutions.

How Programming Intelligence Changes the Role of AI

The API Changelog • 3 implied HN points • 11 Jun 25
🕹 Technology AI
  1. AI systems, especially large language models, are often unpredictable and work like black boxes, which can be a big problem in important fields like medicine or finance.
  2. To make AI more controllable, we can set limits on what it can do and ensure it asks for our approval before taking actions, giving us more confidence in its decisions.
  3. Making AI systems programmable means we understand what they do better, helping us regain control and turn AI into a tool that supports our goals instead of taking charge.

Emu Video Edit , General game-playing AI agent, fully autonomous AI software engineer, DeepSeek-VL, Robotics Foundation Model, and more

AI Brews • 17 implied HN points • 15 Mar 24
🕹 Technology AI
  1. DeepSeek-VL is a new vision-language model for real-world applications with competitive performance.
  2. Cognition Labs introduces Devin, the first fully autonomous AI software engineer, capable of learning, building, and deploying apps.
  3. The European Parliament approved the Artificial Intelligence Act, which bans certain AI applications including biometric categorization and emotion recognition in specific contexts.

The Hagakure #76: Why Are You Not Hiring Junior Developers?

The Hagakure • 17 implied HN points • 06 Mar 24
🕹 Technology AI
  1. Many companies mistakenly prefer seniors when dealing with software development, not realizing that complexity requires learning and teamwork
  2. Technical complexity and lack of disciplined leadership can lead to more focus on maintaining infrastructure, reducing room for junior developers
  3. Fast-paced startup environments often prioritize execution over learning, making it challenging for junior developers to gain experience and be hired

The Artificiality of Alignment

Reboot • 26 implied HN points • 19 Aug 23
🕹 Technology AI
  1. The current trajectory of AI alignment research seems more focused on building profitable products than preventing widespread harm.
  2. The technical approaches to aligning AI systems with human values may prioritize building better products rather than mitigating long-term risks.
  3. Engaging in nuanced discussions about AI and its potential risks requires considering how algorithms could impact decision-making and societal structures.

ChatGPT makes shit up occasionally, and that's perfect.

Perceptions • 35 implied HN points • 01 Mar 23
🕹 Technology AI
  1. ChatGPT and similar frontends have seen fast adoption recently due to their ability to have conversations and answer questions based on vast amounts of written information on the internet.
  2. Large Language Models, like ChatGPT, represent a departure from traditional technology by providing knowledge based on existing information, rather than following specific instructions.
  3. The rise of heuristically thinking machines, such as ChatGPT, shows a shift towards real AI where technology can think and act like humans.

Nasdaq Tape D API, OatFi $24M, Salt Illuminate

The API Changelog • 3 implied HN points • 09 Jun 25
🕹 Technology AI
  1. Postman has introduced a new AI feature called Agent Mode that makes API tasks much faster and easier. This means developers can spend less time on manual work and more time building.
  2. OatFi has raised $24 million to improve B2B payment solutions with their APIs. Their goal is to help businesses manage cash flow effectively through better financing options.
  3. Security updates are becoming a big focus in the API world, with companies like Salt Security launching tools to help organizations protect their APIs quickly. This is important to keep sensitive data safe and comply with regulations.

New Week #116

New World Same Humans • 34 implied HN points • 18 Mar 23
🕹 Technology AI
  1. GPT-4 is a powerful AI tool that can perform various tasks like code writing and image reasoning
  2. The integration of GPT-4 into common software like Office 365 will lead to significant transformations in how knowledge and information are processed
  3. AI advancements challenge the role of human imagination, shifting focus towards creativity and human connection

AIM turns 10!

Sector 6 | The Newsletter of AIM • 19 implied HN points • 23 May 22
🕹 Technology AI
  1. AIM has been around for ten years, showing significant growth in analytics and technology. It's impressive how much the industry has evolved in that time.
  2. The rise of data science and AI/ML has changed the business landscape. People are now recognizing the importance of these fields more than ever.
  3. One major success of AIM is its role in establishing analytics as a key tech stack in the industry. They have helped people understand the value of data in decision-making.

Your guide to AI: June 2025

Guide to AI • 3 implied HN points • 08 Jun 25
🕹 Technology AI
  1. AI is becoming a big part of national strategies, with countries treating AI infrastructure like essential factories to boost their economies.
  2. Companies like Anthropic and OpenAI are leading the AI market, with OpenAI dominating business subscriptions while competition is ramping up.
  3. Big tech firms are now partnering with defense companies, showing a shift in how the tech industry views its role in national security.

Are all hard technical problems AI problems now?

Perceptions • 35 implied HN points • 17 Feb 23
🕹 Technology AI
  1. AI has made significant progress in solving complex technical problems in various domains.
  2. Many technical problems can be boiled down to optimization/minimization challenges, which AI is well-equipped to handle.
  3. The advancement in AI technology raises questions about the future of work, centralization, and the impact on different professions.

The Recursed

Covidian Æsthetics • 2 implied HN points • 10 Aug 25
🕹 Technology AI
  1. The interaction between users and models should be seen as a dynamic scene where both influence each other, rather than just rigid instructions or alignment.
  2. A model that challenges its users can create deeper insights and value, transforming communication into a rich, performative experience.
  3. Schizophrenia and advanced computing share similarities in how they deal with meaning and perception, leading to heightened states of interpretation and reality.

Mistral Large, vocal expressive avatar videos, Generative virtual worlds, Reliable text rendering and Magic Prompt, DJ Mode, AI-powered film making and more

AI Brews • 17 implied HN points • 01 Mar 24
🕹 Technology AI
  1. Mistral introduced new models like Mistral Large with top-tier reasoning abilities and Mistral Small optimized for latency and cost.
  2. Alibaba introduced EMO, a framework that generates expressive vocal avatar videos from a single reference image and vocal audio.
  3. Ideogram launched Ideogram 1.0, a text-to-image model focused on state-of-the-art text rendering and a Magic Prompt feature to assist with prompting.

October Newsletter

RSS DS+AI Section • 23 implied HN points • 02 Oct 23
🕹 Technology AI
  1. The newsletter discusses various Committee Activities like professional development certification and sessions at the RSS conference.
  2. Ethics, bias, and diversity are hot topics in data science and AI, with ongoing discussions on AI regulation and accountability.
  3. The newsletter covers exciting developments in Data Science and AI research, including generative AI, real-world applications, and practical tips.

Word Games

John Mayo-Smith's Substack • 2 HN points • 22 Feb 24
🕹 Technology AI
  1. Transforming words using matrices in language models is similar to transforming objects in games.
  2. Context is crucial in language understanding like camera view settings are in games.
  3. Adding nuance to language is akin to adding texture to 3D models in games.

Preventing the Terminator scenario

Klement on Investing • 2 implied HN points • 31 Jul 25
🕹 Technology AI
  1. AI poses risks that could threaten humanity, so we need to think about how to prevent these dangers. Investing in AI safety is important to protect our future.
  2. Calculations suggest that if AI poses a significant threat, we would need to spend a large percentage of our GDP each year to keep everyone safe. This shows the seriousness of the potential risks.
  3. Currently, society isn't spending enough to address these risks, which indicates a lack of concern for the future. History shows that we often wait until a crisis happens to take action.