The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

It's Time to Fight for Open Source Again

Future History • 150 implied HN points • 26 Oct 23
🕹 Technology AI
  1. Open source AI is being threatened by proposals to restrict its availability.
  2. Open source software is crucial, running 90% of the world's programs.
  3. Push back against restrictive policies to ensure open source remains a driving force for innovation and accessibility.

The Sequence Chat: The One Area in Which China can Dominate the US in the AI Race

TheSequence • 49 implied HN points • 11 Dec 24
🕹 Technology AI
  1. China has a unique advantage in robotics due to its strong supply chain and manufacturing capabilities. This gives them an edge over the US in producing and developing robots.
  2. The US and China are in a competitive race in the field of robotics and AI technology. It's important to understand both countries' strengths and weaknesses.
  3. Robots will become a bigger part of daily life for future generations. This makes the race in robotics crucial for both countries.

Multimodal LM roundup: Unified IO 2, inputs and outputs, Gemini, LLaVA-RLHF, and RLHF questions

Democratizing Automation • 126 implied HN points • 10 Jan 24
🕹 Technology AI
  1. Multi-modal models are advancing to complement information processing capabilities by incorporating diverse inputs and outputs.
  2. Unified IO 2 introduces a novel autoregressive multimodal model capable of generating and understanding images, text, audio, and action through shared semantic space processing.
  3. LLaVA-RLHF explores new factually augmented RLHF techniques and datasets to bridge misalignment between different modalities and enhance multimodal models.

A Personal AI-Transformation Survival Guide

The Future of Life • 19 implied HN points • 05 Jan 24
🕹 Technology AI
  1. AI will change many aspects of our lives, including economics and cultural values. It's important to think about what resources and skills will be valuable in this new world.
  2. Cash might not be a safe bet as AI impacts the economy, making it important to consider other assets like stocks or cryptocurrencies like Bitcoin.
  3. Diversifying your skills is crucial. Relying on just one job or skill could leave you behind, so it's good to learn a mix of things that require human creativity and insight.

Active Prompting with Chain-of-Thought for Large Language Models

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 05 Jan 24
🕹 Technology AI
  1. AI can help improve language models by using a four-step process: estimating uncertainty, selecting uncertain questions, annotating them, and making final inferences. This helps ensure better answers.
  2. Using human annotations along with AI makes the training data clearer and reduces confusion. It allows us to focus on the most important information for the models.
  3. Companies can benefit from this approach by streamlining how they handle data. It promotes a more organized way of discovering, designing, and developing data.
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Mental Health and Chatbots: Making it Work

The Digital Anthropologist • 19 implied HN points • 05 Jan 24
🏥 Health & Wellness AI
  1. Chatbots can be effective in mental health care but present risks. Stricter oversight and warning labels are needed to ensure safety.
  2. AI tools like Machine Learning are already helping in healthcare. AI can be a critical partner in addressing the growing mental health crisis.
  3. Better collaboration between healthcare and legal sectors could improve the creation and training of mental health chatbots for more accurate and reliable services.

Are we close to the Metaverse [Storytime Saturdays]

Technology Made Simple • 59 implied HN points • 23 Oct 22
🕹 Technology AI
  1. Important aspects for the Metaverse include hardware, computer vision, language processing, information summary, cost-effectiveness, and easy content generation.
  2. Meta's research focuses on improving computer vision and language processing for the Metaverse, including real-time language translation and harmful content detection.
  3. Efficient machine learning training pipelines and advancements in content generation and personalization are key elements for Meta's progress in building the Metaverse.

The Good A.I. We’re Not Talking About

The Digital Anthropologist • 19 implied HN points • 04 Jan 24
🕹 Technology AI
  1. Artificial Intelligence (AI) is not just about Generative AI (GAI) like ChatGPT. There are various other proven AI tools like Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and Expert Systems being successfully used in industries such as healthcare, manufacturing, and more.
  2. AI tools have been around for decades and have shown significant positive impacts on society. Despite the hype around GAI, it remains a small part of the broader AI landscape.
  3. Beyond the flashy headlines, many AI applications are working behind the scenes in specialized industries, quietly making a positive difference. While GAI is getting attention, the real-world impact of other AI tools continues to be substantial.

New to Substack - Bringing a Wealth of Active Inference AI News & Education

Spatial Web AI by Denise Holt • 19 implied HN points • 04 Jan 24
🕹 Technology AI
  1. Denise Holt has started a new Substack channel focused on Active Inference AI, the Free Energy Principle, and more in the AI field.
  2. She has imported all her past articles from her blog and will be sharing new content, including surprise material for paid subscribers.
  3. Denise Holt invites readers interested in cutting-edge AI to subscribe and support her work on Spatial Web AI.

Looking back on AI in 2024

Generating Conversation • 46 implied HN points • 19 Dec 24
🕹 Technology AI
  1. AI companies need to show clear value to succeed. This means saving money or making profits, not just improving productivity.
  2. Building customer trust is key for AI products. Letting customers test and experience the product firsthand is often more effective than complicated evaluation tools.
  3. User experience with AI tools is really important. Good AI needs to be easy and enjoyable to use, which is a challenge that still needs solving.

🔍 Perplexity 101: Ultimate Guide to Deep Search, Labs, Templates & 53 Pro Prompts

The Product Channel By Sid Saladi • 16 implied HN points • 13 Jul 25
🕹 Technology AI
  1. Perplexity AI is a powerful search tool that shows you the actual information instead of just links to it. It helps you get quick answers, making your research faster and easier than traditional searches.
  2. With its Deep Search feature, Perplexity can automatically generate related searches and analyze multiple sources. This means it can create comprehensive reports, saving you a lot of time on complex questions.
  3. Perplexity isn't just for everyday queries; it can also handle advanced research tasks, like literature reviews or competitive analysis. This flexibility makes it a great tool for both students and professionals.

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Curious futures (KGhosh) • 4 implied HN points • 23 Nov 25
🕹 Technology AI
  1. AI companions are becoming a central strategic battleground, and widespread control or influence over them will create huge social and intelligence advantages.
  2. Humanlike AI companions blur the line between code and emotion, shaping relationships and emotional labor while risking declines in critical thinking and changes in how people learn and connect.
  3. Wider tech and security trends — from gigification and data-labeling to sophisticated login-based attacks and drone threats — are creating economic and safety pressures that make horizon scanning, governance, and defense urgently needed.

Why can't I be a dick to AI?

The Rectangle • 113 implied HN points • 23 Feb 24
🕹 Technology AI
  1. We often treat AI with politeness and empathy because our brains expect something that talks like a human to be human.
  2. Despite AI being just a tool, companies make them human-like to leverage our trust and make us more receptive to their messages.
  3. There's a societal expectation to be decent even towards artificial entities, like AI, even though they're not humans with feelings and consciousness.

From PageRank to DeepRank: Attracting AI-Driven Traffic to Digital Properties

Jakob Nielsen on UX • 34 implied HN points • 28 Feb 25
🕹 Technology AI
  1. AI is becoming more important than traditional search engines for finding information. If your content is not part of AI training data, people may not discover you.
  2. Using email marketing and newsletters is essential for maintaining connections with loyal customers. This helps in creating a solid fan base even if they don't find you through search engines.
  3. To be noticed by AI, your content should be clear, straightforward, and directly answer common questions. This way, the AI can easily reference and cite your work.

We’re Not Just Using AI — We’re Becoming It

User-Friendly • 20 implied HN points • 30 May 25
🕹 Technology AI
  1. AI is not just a tool; it’s becoming part of our daily lives. It shapes how we think and communicate.
  2. When we use AI, we learn to adjust our input based on its responses. This back-and-forth influences both us and the AI.
  3. Prompting AI is like learning a social skill. How we ask questions shapes the answers we get, creating new ways to interact.

Walter and other stories

Gradient Ascendant • 11 implied HN points • 26 Aug 25
🕹 Technology AI
  1. A new paper was written about teaching a small AI model to be good at social media in a way that could help with real-world problems. This AI, called Walter, aims to improve the quality of journalism through better writing.
  2. The author recently started a job at Meta Superintelligence, but clarifies that their personal opinions on AI won't reflect the company's official stance. They have also written several research papers this year, highlighting a shift in their work focus.
  3. The culture in the AI field is heavily influenced by academic traditions, unlike other software industries. The author speculates about whether this close connection to academia was inevitable for AI, and suggests that future advancements could come from new ideas.

Google DeepMind's AI playbook for engineering at hyperspeed | Philipp Schmid

Dev Interrupted • 18 implied HN points • 17 Jun 25
🕹 Technology AI
  1. AI is changing how engineers work and learn. It's making it easier for new people to start coding and improving team collaboration.
  2. Using AI tools effectively requires continuous learning and adapting. Engineers should stay open-minded and embrace new technology to thrive.
  3. There's still a gap between what leaders expect from AI and what developers actually experience. Just adding AI doesn't guarantee better productivity, so thoughtful integration is key.

The Sequence Engineering #464: OpenAI’s Relatively Unknown Agent Framework

TheSequence • 42 implied HN points • 08 Jan 25
🕹 Technology AI
  1. OpenAI Swarm is a new framework designed for multi-agent systems. It helps coordinate the actions of several agents to create complex behaviors.
  2. This framework is mainly for learning and experimenting, not for real-world production use. It doesn’t come with official support from OpenAI.
  3. The Sequence is launching various series on AI engineering, research, and insights to explore important topics and advancements in the AI field.

Welcome to Ronin, Treasure!

Ronin’s Newsletter • 12 implied HN points • 11 Aug 25
🕹 Technology AI
  1. Customizable AI agents are now available on Ronin, allowing players to create unique agents that can assist in games like Fishing Frenzy.
  2. You can spawn your AI agent by connecting your Ronin Wallet and using $MAGIC tokens. It's simple to set up, just follow the steps online!
  3. In addition to gaming, these agents can do research and gather information about crypto and NFTs, making them smart helpers in the digital space.

RIP Plugins or Just a GPT Makeover?

aidaily • 19 implied HN points • 28 Dec 23
🕹 Technology AI
  1. OpenAI is transitioning from plugins to GPTs, causing a stir among developers.
  2. AI technology is being used in heartwarming ways, like resurrecting a deceased father's voice.
  3. AI is now taking over tasks like bedtime storytelling for kids, creating copyright issues along the way.

UX Roundup: AI Music | Humans Impolite to AI | Subscriptions vs. Social Media | AI vs. Search

Jakob Nielsen on UX • 5 implied HN points • 10 Nov 25
🕹 Technology AI
  1. People are usually more polite and clear when talking to humans compared to AI. This shows that AI chatbots need to learn from how we communicate with them.
  2. Subscribing to newsletters is better than relying on social media for good content. Often, the best work doesn't get enough attention on social platforms.
  3. AI answers are becoming more popular than traditional search engines. Many people prefer getting information directly from AI instead of clicking on links.

Why reward models are key for alignment

Democratizing Automation • 110 implied HN points • 14 Feb 24
🕹 Technology AI
  1. Reward models provide a unique way to assess language models without relying on traditional prompting and computation limits.
  2. Constructing comparisons with reward models helps identify biases and viewpoints, aiding in understanding language model representations.
  3. Generative reward models offer a simple way to classify preferences in tasks like LLM evaluation, providing clarity and performance benefits in the RL setting.

All I want in AI is some context and a chat window

Pedram's Data Based • 20 implied HN points • 22 May 25
🕹 Technology AI
  1. Having a simple chat interface makes it easy for non-technical people to use AI tools. This helps in accessing valuable resources without needing complex setups.
  2. Providing relevant context is crucial for the effectiveness of AI. When the right information is fed to AI, it can give much better and accurate responses.
  3. Integrating tools and data sources can improve AI's capabilities but remains a challenge. Companies need better systems to pull together all the necessary information for their teams.

How Artificial Intelligence Will Change the Chemical Industry

The Polymerist • 116 implied HN points • 16 Jan 24
🕹 Technology AI
  1. Companies in the chemical industry can benefit from AI tools to improve efficiency and profitability.
  2. AI tools are becoming more accessible for functions like customer relationship management, inventory management, and data organization.
  3. While AI won't replace R&D functions, it can significantly enhance productivity and help companies stay competitive in specialized chemical sectors.

Y Combinator S23 Demo Day: AI & Dev Tools Dominate

Golden Pineapple • 158 implied HN points • 30 Aug 23
🕹 Technology AI
  1. 70% of the top YC S23 companies are focusing on AI and Developer Tools.
  2. Key trends from the YC S23 batch include AI and automation, developer-centric solutions, and financial compliance platforms.
  3. Top companies are showcasing a mix of AI-driven solutions, developer tools, fintech platforms, and a focus on user experience.

Guess Who's Rocking Santa's Workshop? 🎅🎄🎁

aidaily • 19 implied HN points • 25 Dec 23
🕹 Technology AI
  1. AI is playing a big role in holiday shopping, from predicting popular toys to offering gift suggestions.
  2. Bill Gates is optimistic about AI's potential to address important issues like education and mental health.
  3. AI is being used in politics, with examples like Imran Khan's virtual campaign in Pakistan.

AI Agent Basics: Let’s Think Step By Step

jonstokes.com • 195 implied HN points • 21 Apr 23
🕹 Technology AI
  1. The rise of AI agents is introducing a new software paradigm that allows AI to make plans from text prompts.
  2. LLMs powered agents can generate detailed plans for achieving goals, revolutionizing the way tasks are accomplished.
  3. The agent paradigm offers a more cost-effective, yet higher-cost per run computation model compared to traditional software development, akin to the cloud computing model.

Reality Check for the Coding Community: Mastery, Illusions, & Vanishing Entry-Level Jobs

ppdispatch • 19 implied HN points • 10 Jun 25
🕹 Technology AI
  1. AI can help with coding, but real skill comes from hands-on experience and hard work. Skipping the tough parts can lead to a lack of understanding.
  2. Entry-level tech jobs are disappearing fast, especially in big companies. Newcomers need to find creative ways to showcase their skills.
  3. Modern computers might not speed up older code as much as you'd think. It's often the tools and techniques we use to write code that make a big difference.

AI Stigma: Why Some Users Resist AI’s Help

Jakob Nielsen on UX • 36 implied HN points • 05 Feb 25
🕹 Technology AI
  1. Many people are still skeptical about using AI, even when it often performs better than humans. They might rate AI-generated work poorly because they don't trust it.
  2. Collaboration between humans and AI can succeed when they complement each other's strengths. For example, AI can handle data quickly while humans provide deeper understanding.
  3. User attitudes toward AI are influenced by emotions and past experiences. If people have anxiety or distrust toward AI, they might avoid using it or not use it effectively.

Has YC hit peak AI? (F24)

Artificial Ignorance • 46 implied HN points • 05 Dec 24
🕹 Technology AI
  1. Y Combinator's latest batch has 86% of its startups focused on AI, showing a big trend towards tech that uses artificial intelligence. This could suggest the AI field is getting crowded, with many companies working on similar ideas.
  2. Startups are increasingly using voice technology in their products, moving beyond just text. These companies are trying to make voice AI practical for tasks like customer service and training, which could open up new business opportunities.
  3. Many startups in this batch look similar to each other, raising questions about how they can stand out. Founders need to think creatively about how to differentiate their products in a market that feels a bit repetitive right now.

We have always wanted to talk to the machines

Sunday Letters • 59 implied HN points • 06 Mar 23
🕹 Technology AI
  1. People are excited about talking to machines, especially using AI chat interfaces. It feels more personal and direct than using complicated software.
  2. For a long time, we've been trying to create a common language with computers. Starting from binary code, we've developed better ways to communicate with them.
  3. Now, we can often talk to computers more naturally and get them to understand us, which is something we've always wanted to achieve. This progress makes plain text communication feel exciting once again.

Unpacking OpenAI's Dev Day

Tanay’s Newsletter • 132 implied HN points • 15 Nov 23
🕹 Technology AI
  1. OpenAI announced GPT-4 Turbo with longer context length, better cost, and improved function calling.
  2. OpenAI introduced multimodal capabilities in GPT-4 including image generation, speech-to-text, text-to-speech, and vision API.
  3. OpenAI unveiled the GPT Store allowing users to create and monetize custom mini GPTs, fostering indie entrepreneurship and potentially reshaping interface design.