The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics
Green Graphic Design 78 implied HN points 30 May 23
  1. Naomi Klein questions the effectiveness of AI in addressing the climate crisis under capitalism.
  2. The concept of assigning monetary value to species raises ethical concerns about valuing nature based on economic benefits.
  3. Critical view on green capitalism highlights the limitations of monetary solutions to environmental issues and the need to confront capitalism to address the climate crisis.
Addition 78 implied HN points 02 May 23
  1. A partnership created The Dreamkeeper, an AI tool to preserve dreams
  2. The Dreamkeeper uses AI models to remember, visualize, and organize dreams
  3. AI can potentially record dreams through fMRI scans in the future
Mike Talks AI 78 implied HN points 12 Jun 23
  1. The AI community debates whether advancements in AI should be viewed with fear or optimism.
  2. There are prominent voices expressing concerns about the potential dangers of AI, leading to the 'AI Doom' side.
  3. On the other hand, there are sources like Marc Andreessen who present a strong case for optimism about AI's potential benefits.
Bojan’s Newsletter 78 implied HN points 16 May 23
  1. Cognitive Behavioral Therapy (CBT) helps people change their mental perspective to overcome psychological problems like depression and anxiety.
  2. CBT is well-researched but requires frequent and prolonged use, which can be challenging to sustain.
  3. Generative AI could assist in mental health by creating realistic conversation partners to track and improve mental health states.
nolano.ai 78 implied HN points 11 Mar 23
  1. Large language models (LLMs) can be used for tasks like email completion and code explanation, but currently need hardware accelerators beyond personal devices.
  2. Using on-device LLMs allows greater control over data and the ability to create personalized generation models.
  3. A community of developers is working towards enabling LLM inference locally to empower creators and researchers in utilizing these models for their projects.
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Deploy Securely 78 implied HN points 28 Jul 23
  1. StackAware has pivoted to AI risk management.
  2. Deploy Securely is now the official blog of StackAware.
  3. A new email course highlighting StackAware's revised value proposition has been launched.
SCIENCE GODDESS 78 implied HN points 20 Mar 23
  1. The term 'hallucination' in the context of AI does not imply consciousness, but rather refers to AI systems stating untruths or false information.
  2. AI's ability to 'hallucinate' new proteins opens up possibilities for innovative developments in synthetic biology and drug discovery.
  3. There is speculation about whether AI could one day imagine and create entirely new forms of life based on alternative biochemistries, like synthetic sheep or silicon-based life.
Axis of Ordinary 78 implied HN points 09 May 23
  1. A call for a Manhattan Project for AI safety and alignment
  2. New AI method called AdaSubS that adapts the planning horizon based on subgoals
  3. Various research papers on AI, language models, and mathematics discussed
Fully Distributed by Ori Eldarov 78 implied HN points 04 Aug 23
  1. The real value in AI for Private Equity is in enhancing portfolio companies, not just investors.
  2. Most AI solutions for Private Equity focusing on automating low-impact tasks may not significantly boost revenues for funds.
  3. The opportunity in AI for Private Equity lies in driving operational efficiencies at the portfolio company level through workflow automation and improved analytics.
Axis of Ordinary 78 implied HN points 10 Mar 23
  1. First demonstration of a learning-based method for human locomotion with Transformers
  2. Diffusion Policy outperforms other robot learning methods by 46.9%
  3. GPT-4 by Microsoft Germany will be multimodal and released soon
Mike Talks AI 78 implied HN points 27 Jul 23
  1. The term AI can mean different things and understanding those meanings is crucial for clear communication, better decisions, and addressing concerns.
  2. Different definitions of AI include AGI or artificial general intelligence, deep learning for solving complex problems, and tools like ChatGPT for tasks like writing and summarizing.
  3. CEOs, leaders, and investors should explore opportunities in AGI, deep learning, ChatGPT, and practical AI to stay relevant and make informed decisions.
The Strategy Deck 78 implied HN points 06 Jul 23
  1. Synthetic data is crucial for ML by replacing real-world data, protecting sensitive information, and validating AI applications.
  2. Synthetic data is used in computer vision for autonomous vehicles and is expanding to other data types like text and tabular data.
  3. There are specialized and general-purpose synthetic data platforms developing innovative solutions for various industries and use cases.
Stew's Letter 78 implied HN points 09 Mar 23
  1. Type.ai is a new AI-first document editor
  2. Upvoting Type.ai on Product Hunt can change the world for the better
  3. The author is asking for upvotes to support their new startup
Trends, Analysis, Lies and Statistics 78 implied HN points 30 Aug 23
  1. Generative AI enables players to craft novel characters, stories, and settings, leading to new gaming formats.
  2. GenAI games challenge established norms by rendering scarcity obsolete and emphasizing creativity over collection.
  3. Generative AI-based games expand gameplay beyond mechanics, allowing players to become active content creators and fostering community collaboration.
Nick Merrill 78 implied HN points 12 May 23
  1. AI may replicate work of 'knowledge workers' but many of these jobs may never have been necessary in the first place
  2. Uncertainty about AI replacing jobs is at the core of the discussion, and it's linked to broader societal structures
  3. There could be a possible third path towards liberation for people among the discourse around AI and knowledge work
Condensing the Cloud 78 implied HN points 01 Mar 23
  1. Identifying problems that need to be solved is crucial in building a successful business.
  2. Leveraging generative AI like GPT in conjunction with human intelligence can create innovative solutions.
  3. Bots and cyborgs represent two paradigms of AI businesses, with cyborgs showing more promise for startups due to their collaborative nature.
Things I Think Are Awesome 78 implied HN points 15 Apr 23
  1. The post discusses Segment Anything for creative tasks, social agents in game contexts, and new LLMs in the AI landscape.
  2. The content covers AI art tools, game design elements like agents and NPCs, and updates in the field of NLP.
  3. The author mentions increases in paid subscriptions, interesting topics like AI art copyright, and shares a variety of exciting updates.
I'm Like You (but with a newsletter) 78 implied HN points 04 May 23
  1. AI hype can have negative effects on mental and physical health due to fear of automation
  2. Be cautious of individuals hyping AI who may have financial interests in promoting it
  3. AI is not necessarily a zero-sum game and can elevate everyone's skills and capabilities
Methexis 78 implied HN points 05 Apr 23
  1. Abstractions in language modeling should reduce complexity, not add cognitive load.
  2. AI functions can streamline programming by aligning with existing function call patterns.
  3. Debuggability and traceability are key challenges to address in language modeling frameworks.
Axis of Ordinary 39 implied HN points 04 Feb 24
  1. Neural Networks are advancing towards universal prediction with innovative approaches.
  2. Technology is progressing with 3D-printed human brain tissue, new universal memory candidate, and quantum computing in graphene layers.
  3. Research shows interesting findings in science, like the arms race between bats and moths, the impact of recreational drugs on parasites, and the correlation of brain size with intelligence.
Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots 19 implied HN points 26 Apr 24
  1. RoNID helps identify user intents more accurately, allowing chatbots to understand what users really want to talk about. This means better conversations and less frustration.
  2. The framework uses two main steps: generating reliable labels and organizing data into clear groups. This makes it easier to see which intents are similar and which are different.
  3. RoNID outperforms older methods, improving the chatbot’s understanding by creating clearer and more accurate intent classifications. This leads to a smoother user experience.
Faster, Please! 91 implied HN points 20 Feb 25
  1. Interest rates might predict the rise of advanced AI. As people expect big changes, they want to spend more now instead of saving for the future.
  2. Higher long-term growth expectations often lead to higher real interest rates. This shows that bond markets can hint at when transformative AI might arrive.
  3. Both positive and negative outcomes of AI can push rates up. Whether AI leads to great progress or poses risks, people behave similarly by wanting to consume now.
Technically Optimistic 59 implied HN points 01 Dec 23
  1. Build trust with trusted messenger programs going forward.
  2. Increase human moderation and fact-checking while experimenting with new features.
  3. Advocate for policy changes to disclose the use of AI in content while supporting legislation and working on AI development.
The API Changelog 1 implied HN point 16 Feb 26
  1. AI agents are starting to make real purchases on their own as companies build secure spending APIs that turn budgets into programmable keys, letting agents buy compute, services, or physical work within human-set limits.
  2. APIs are moving beyond cloud data into the physical world and human labor — from programmable cellular networks and surgical-robot vision APIs to marketplaces that let agents hire people for last‑mile tasks.
  3. Platform control and regulation are becoming central: major platforms are tightening or restricting developer access while regulators push to keep key APIs open, reshaping how apps and agents get distribution and resources.
TheSequence 133 implied HN points 17 Nov 24
  1. Frontier Math is a really tough math test designed for AI. It has new, unique problems that are hard for AI to solve, testing deeper reasoning skills.
  2. Many AI models do well on easier math problems but struggle with Frontier Math. They often can't combine ideas creatively like a human can.
  3. This benchmark shows the big gap between current AI abilities and true mathematical understanding, highlighting the need for better AI reasoning.
The Gradient 49 implied HN points 04 Jun 25
  1. Recent AI models have shown impressive capabilities, but they don't represent true human-like intelligence. They succeed because of scaled hardware and not because they think like us.
  2. Trying to combine different AI models into a single system won't lead to real understanding or human-level AI. This approach is flawed and unlikely to work.
  3. Instead of mixing models, we should focus on how AI interacts with the world and learns from it. Understanding AI should be about its actions and experiences in the environment.
Do Not Research 19 implied HN points 25 Apr 24
  1. The artist reflects on the role of AI in art creation, highlighting the humorous expectation for artists to train AI to reproduce their work.
  2. The artist showcases a series of paintings created in response to a public figure's congressional testimony, demonstrating a compelling exploration of representation.
  3. The collection features a mix of acrylic, crayon, and other mediums, showcasing diverse artistic styles and techniques.
Not Boring by Packy McCormick 116 implied HN points 13 Dec 24
  1. Google's new quantum chip, Willow, makes huge advances, allowing it to perform complex calculations much faster than traditional computers. This could lead to amazing breakthroughs in areas like medicine and materials science.
  2. OpenAI is showcasing its latest technologies during '12 Days of OpenAI,' introducing tools that improve AI's abilities in reasoning, video creation, and more, showing how quickly AI is evolving.
  3. Caltech developed tiny robots that can deliver medicine directly to specific parts of the body, potentially making treatments more effective and reducing side effects. This technology could transform how we treat various diseases.
Rod’s Blog 39 implied HN points 02 Feb 24
  1. AI in education offers personalized learning paths based on student's needs and abilities, making learning more effective and engaging.
  2. AI assists teachers by automating tasks like grading and providing insights for improving teaching methods, enhancing the overall teaching experience.
  3. Innovative learning experiences are enabled through AI technologies like virtual reality and gamification, making education interactive and fun.

AI

Life in the 21st Century 39 implied HN points 02 Feb 24
  1. AI is a powerful evolution of computing technology, tracing back 75 years to the invention of the transistor.
  2. AI's exponential growth in compute power enables manipulation of vast amounts of data and sophisticated algorithms.
  3. The internet plays a crucial role in AI, facilitating extensive networking and simultaneous computing.
Axis of Ordinary 39 implied HN points 02 Feb 24
  1. AI tools do not significantly increase the risk of biological weapon attacks
  2. Russia's Black Sea Fleet under pressure from successful Ukrainian campaigns
  3. FBI disrupts major Chinese government-backed hacking effort targeting US infrastructure
The Leftovers 99 implied HN points 23 Jan 23
  1. AI is already heavily involved in shaping cultural products, leading to concerns about the loss of human creativity
  2. The prevalence of algorithms in various aspects of culture and entertainment points to a long-standing trend towards automation
  3. The evolution of culture into a commodity and the influence of algorithms have significantly impacted the creative landscape, challenging traditional notions of human creativity
MKT1 Newsletter 8 implied HN points 03 Dec 25
  1. Marketers need to become 'Gen Marketers' by blending generalist skills with specific expertise to stay relevant in 2026. It's not just about knowing one area well anymore.
  2. To succeed in marketing, you should run campaigns that are different from others, move quickly and adapt to changes, and use multiple channels effectively. Creativity and speed are key.
  3. Networking is crucial for finding jobs and candidates. Engaging with others in the industry through social media or events can open doors for opportunities.
Alex's Personal Blog 98 implied HN points 29 Jan 25
  1. AI companies like OpenAI are worried that DeepSeek might have learned from their models in a way that isn't fair. This has led to concerns about how to protect their technology.
  2. There are ongoing discussions in the AI industry about whether some companies are just making excuses for not being the best. These companies are feeling threatened by competitors who are catching up fast.
  3. The state of federal spending looks chaotic, which could be a problem for the new administration. More economic updates are expected soon, especially from major companies like Meta and Microsoft.
davidj.substack 47 implied HN points 14 Jun 25
  1. Using a split ortholinear keyboard can really help with wrist and finger positioning while typing. This might reduce discomfort or issues like repetitive strain injuries.
  2. Switching to AI tools like LLMs can sometimes be faster and more energy-efficient than traditional web searches. This is surprising since many people assume web searches are the quickest.
  3. In the future, AI could streamline our search for information by reducing the number of web searches needed. Instead of multiple searches, we might get answers in a single go using AI systems.
TheSequence 56 implied HN points 23 May 25
  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.
Nonzero Newsletter 440 implied HN points 28 Jul 23
  1. AI is rooted organically in human history and the quest for advancement.
  2. The evolution of technology and the noosphere reflect expressions of human nature.
  3. Collaboration, competition, and human inventiveness are crucial in driving progress and innovation.
Artificial Ignorance 92 implied HN points 11 Feb 25
  1. Consistency in publishing is key. Writing regularly helps build your voice and keeps your audience engaged.
  2. Feedback from readers is really important. It's tough to improve without knowing what your audience enjoys or wants.
  3. Trying new things is a part of the journey. Some experiments, like podcasts or workshops, might not go as planned, but they teach valuable lessons for the future.
Arnab’s Substack 16 HN points 09 May 24
  1. TikTok introduced a new era in social networking, with its algorithm acting as a broadcast medium, but it also brought new problems by shifting the storytelling dynamic between creators and consumers.
  2. Humans naturally crave bi-directional relationships within smaller tribes, as seen historically and in current social media trends where platforms are transitioning towards broadcast models for engagement.
  3. The upcoming AI revolution is expected to elevate your connections and interactions by personalizing stories, potentially addressing some issues caused by the shift towards content consumption on platforms like TikTok.