The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Small Business Corner 39 implied HN points 16 May 24
  1. People tend to react to new technology in one of three ways: celebrate it, bash it, or adopt it pragmatically.
  2. AI tools can significantly benefit small business owners by saving time, cutting costs, and enhancing productivity.
  3. Adopting AI tools strategically into business processes can lead to efficiency, cost reduction, and innovation, helping small businesses stay competitive.
Page Street Labs 432 implied HN points 21 Apr 23
  1. The post-LLM era is important for builders and investors to understand.
  2. Consider enabling images from sender if reading this on an email client to fully experience the post.
  3. New subscribers can start reading with a 7-day free trial.
Sunday Letters 59 implied HN points 07 Apr 24
  1. The early days of CGI faced many challenges, like high costs and limited realism, similar to current struggles in AI development.
  2. Just like CGI evolved to become seamless in movies, AI technology is expected to improve and become a normal part of our lives over time.
  3. Even if some early attempts in AI look flawed, progress is being made, and future innovations will likely succeed where the past struggled.
Faster, Please! 91 implied HN points 02 Aug 25
  1. A new fusion power plant is being built, which could provide energy from fusion reactions. This is a big step toward making fusion energy a reality.
  2. The FDA has approved a new HIV prevention shot that only requires two injections a year. This could help reduce new HIV infections significantly.
  3. There's a growing interest in fusion technology, with significant investments being made globally to develop it further.
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Nonzero Newsletter 225 implied HN points 28 Feb 25
  1. There's a growing interest in immortality and how technology, like AI, could help us live longer. Some people believe that embracing these advancements is the key to a better future.
  2. Not everyone agrees with how some tech entrepreneurs are promoting longevity. Critics say their methods and products are often unproven and may not lead to the promised health benefits.
  3. Studies show that bad behavior learned in one area can spread to other areas, especially with AI. Just like in humans, training AI on negative examples can lead to undesirable outcomes in different contexts.
Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots 99 implied HN points 05 Feb 24
  1. An OpenAI agent can analyze information from multiple documents at once. This helps create detailed answers to queries based on several sources.
  2. Using the LlamaIndex framework, you can easily set up a system to manage and query PDF documents. This makes finding specific data more efficient.
  3. The agent can summarize financial data, showing how companies like Uber grow revenue over time. This is helpful for understanding trends in business performance.
Do Not Research 199 implied HN points 28 Aug 23
  1. Personal data can be collected and stored to create a digital twin, even tracking health issues and mental health over a lifetime.
  2. The concept of a decentralized autonomous organization (DAO) operated by digital twins was explored, enhancing collective creativity and wealth management.
  3. The DAO of the Dead demonstrated autonomous decision-making, wealth management, and investment, transcending human limitations and authorities.
Cybernetic Forests 199 implied HN points 04 Jun 23
  1. Norbert Wiener, the founder of cybernetics, emphasized the importance of studying feedback and response rather than seeking stability in systems.
  2. The discussions around AI and existential risks often prioritize hypothetical future scenarios over addressing present-day human suffering and feedback mechanisms.
  3. The culture of safety engineering in AI tends to focus on abstract future catastrophes, potentially overshadowing the immediate impacts on communities and individuals.
Technology Made Simple 199 implied HN points 06 May 23
  1. Open source in AI is successful due to its free nature, promoting quick scaling and diverse contributions.
  2. The rigid hiring practices and systems in Big Tech can stifle innovation by filtering out non-conformists.
  3. The leaked letter questions the value of restrictive models in a landscape where free alternatives are comparable in quality.
UX Psychology 198 implied HN points 17 Aug 23
  1. Artificial Intelligence is significantly impacting User Experience (UX) by providing new tools and methods for research and design.
  2. UX professionals have varying levels of AI knowledge and usage, with concerns including potential errors, biases, and job security.
  3. Even though many UX professionals are incorporating AI into their work, there is still caution and a desire to ensure responsible AI use and human augmentation.
UX Psychology 198 implied HN points 06 Jul 23
  1. Traditional personas are being enhanced with deepfake technology to create more dynamic representations of end-users.
  2. A study compared deepfake personas with classic and narrative personas in terms of empathy, credibility, and more, showing that deepfakes were perceived less favorably due to the uncanny valley effect.
  3. While deepfake personas are not yet widely accepted in UX, there is a small group of users who see potential value in them, hinting at possible scenarios where they might be beneficial.
Rod’s Blog 198 implied HN points 17 Jul 23
  1. Start by setting up a Storage Container in Azure to store files for your Copilot.
  2. Create an Indexer to run on a schedule and index the documents stored in the Container.
  3. Add your own data using Azure AI Studio to configure where your Chatbot will look for its source data.
Maximum Effort, Minimum Reward 255 implied HN points 23 Jan 25
  1. There's a big difference between theorists and experimentalists in science. Theorists think a lot about ideas, while experimentalists deal with the real-world messiness of experiments.
  2. Many fears about AI being super dangerous come from theorists who underestimate the practical challenges. Even super smart AIs will face real-life problems that slow them down.
  3. Destroying the world is actually hard and takes time. Even if an AI is super intelligent, making big changes in reality is complicated and can't happen instantly.
Crypto Good 3 implied HN points 20 Feb 26
  1. AI removes traditional skill barriers and lets anyone instantly ‘download’ abilities like writing, visuals, audio, and music with a click.
  2. Turning one idea into many formats—video, podcast, song, comic, infographic—reaches different learning styles and a much larger audience.
  3. Simple AI workflows and chatbots let you create high-quality, multi-format content fast, often in minutes, without writing every word yourself.
The Algorithmic Bridge 233 implied HN points 17 Feb 25
  1. Anthropic is about to release its first reasoning model, which shows a new direction in AI compared to OpenAI's past methods. This could change how AI systems think and make decisions.
  2. OpenAI plans to launch GPT-4.5 soon and GPT-5 in a few months. They are shifting towards a more unified model to keep up with competitors, signaling a fast-paced race in AI technology.
  3. There's a significant shift from focusing on AI safety to emphasizing AI capabilities. Companies are now more about developing powerful AI instead of just ensuring safety, which could change the landscape of AI development.
Sector 6 | The Newsletter of AIM 79 implied HN points 04 Mar 24
  1. The Indian government's new AI advisory has sparked mixed reactions in the AI community. Some people feel it's not a good decision.
  2. IT minister Rajeev Chandrasekhar clarified that the advisory is meant for large platforms only. Startups will not be affected by these new regulations.
  3. There is concern about how this advisory may impact innovation and the growth of AI in India, especially among startups.
Bojan’s Newsletter 196 implied HN points 07 Oct 23
  1. AI agents have the potential to revolutionize automation in various industries.
  2. Technical work is only a portion of tasks, and non-technical work can be challenging to automate.
  3. Despite challenges, advancements in AI and automation tools continue to show promise for the future.
Read Max 869 implied HN points 08 Dec 23
  1. Media coverage decisions are driven by various factors like newsworthiness, commercial concerns, and career advancement.
  2. Authentic relationships between humans and bots in the future are uncertain but can be influenced by societal perceptions and control.
  3. Exploring lesser-known direct-to-video action movies and foreign films can provide new excitement for fans of the genre.
In My Tribe 227 implied HN points 10 Feb 25
  1. Phil Gramm and Larry Summers believe that tariffs harm economic growth and could lead to trade wars. They recommend against implementing broad tariffs.
  2. Aswath Damodaran discusses how the entry of DeepSeek could change the AI landscape, creating both low-cost alternatives and maintaining a premium market for AI.
  3. Magatte Wade argues that Africa's poverty is largely due to over-regulation and difficult business conditions, making it hard to trade and grow economically.
ChinaTalk 355 implied HN points 25 Oct 24
  1. An intern at ByteDance caused major damage by sabotaging AI training, affecting thousands of GPUs and potentially costing millions. This highlights possible gaps in the company's security.
  2. Taiwan has a highly praised healthcare system, often ranked as the best in the world. It's seen as a model that could inspire others.
  3. The internet acts as a powerful platform for democracy in China. Victims often turn to it when traditional systems fail to provide justice.
Bojan’s Newsletter 196 implied HN points 10 Oct 23
  1. Kaggle is a valuable platform for data science and ML career development
  2. Kaggle solutions often offer innovative insights ahead of research and industry trends
  3. Tabular data ML remains an important area in the field of machine learning
Joe Reis 196 implied HN points 08 Jul 23
  1. People skills are becoming increasingly important in the tech industry.
  2. Technical skills are essential, but communication and empathy separate individuals for career success.
  3. Businesses are shifting towards paying tech vendors based on outcomes, emphasizing accountability.
Startup Pirate by Alex Alexakis 196 implied HN points 28 Apr 23
  1. Tech industry's drone delivery progress is slower than initially expected.
  2. Companies like Wing, Matternet, and Zipline are making advancements in drone delivery technology.
  3. Drones like Velos are innovating by focusing on robust, efficient, and reliable design for various applications.
What's Left 196 implied HN points 01 Aug 23
  1. AI-generated journalism can undermine the quality of information and journalism standards.
  2. Media companies using AI for content creation may prioritize profit over providing value to readers.
  3. AI can assist in research and writing, but should not replace human judgment and ethics in journalism.
tsalikhov 196 implied HN points 17 Apr 23
  1. Artists are becoming entrepreneurs by spearheading economies and communities.
  2. They are using powerful Web3 tools to turn patrons into co-creators.
  3. Digital artists are shaping culture, solving challenges, and propelling the world forward.
Bojan’s Newsletter 196 implied HN points 28 Apr 23
  1. AI revolution is significantly impacting the tech industry and our professional lives.
  2. It's crucial to have credible AI risk assessment to prepare for potential worst-case scenarios.
  3. Policy decisions regarding AI should not be solely based on voices lacking technical expertise.
Startup Pirate by Alex Alexakis 196 implied HN points 21 Jul 23
  1. Greece ranks high in AI talent with top scientists and conferences.
  2. Athens has a high density of engineering talent across various specializations.
  3. Greece is seeing a rise in deep tech startups with innovative solutions in various industries.
Prompt Engineering 196 implied HN points 05 May 23
  1. The biggest deal in AI is the open-source model LLaMA, not ChatGPT.
  2. ChatGPT was impressive but had weaknesses like generating nonsense and being easily fooled.
  3. The rapid innovation cycle after the leak of LLaMA weights led to significant advancements in AI models.
Deep (Learning) Focus 196 implied HN points 22 May 23
  1. LLMs can struggle with tasks like arithmetic and complex reasoning, but using an external code interpreter can help them compute solutions more accurately.
  2. Program-Aided Language Models (PaL) and Program of Thoughts (PoT) techniques leverage both natural language and code components to enhance reasoning capabilities of LLMs.
  3. Decoupling reasoning from computation within LLMs through techniques like PaL and PoT can significantly improve performance on complex numerical tasks.
Bojan’s Newsletter 196 implied HN points 25 Sep 23
  1. Cryptic tweets from OpenAI founders hint at significant advancements in AI startups surpassing established researchers and reaching AGI levels.
  2. Speculation rises around an internal achievement of AGI at OpenAI, with uncertain implications for future development and practical applications.
  3. AI benchmarks are being rapidly surpassed, suggesting potential strides towards self-improving AI, though the exact progress and intentions of OpenAI remain unclear.
venturecommune 196 implied HN points 02 Mar 23
  1. The Misalignment Museum is a new art installation addressing the problem with AI misalignment.
  2. The misalignment problem in AI focuses on compatibility of human values with superintelligent AI values.
  3. Analysis of AI technology should consider social relations and ownership to understand its impact.
Joe Reis 196 implied HN points 29 Jul 23
  1. The politics of data often involves using data to push pre-determined agendas.
  2. In organizations, decisions are often driven by politics rather than technical excellence or data.
  3. Understanding the political dynamics within an organization can help navigate potential impacts on one's career.