The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

AI applications are more than an LLM

The AI Frontier • 19 implied HN points • 20 Jun 24
🕹 Technology AI
  1. AI applications are more than just using a big model; they need careful design and planning to be effective. It's like building a nice piece of furniture versus just putting some wood together.
  2. Quality comes with a cost, and building great AI solutions takes more time and resources. Cheaper options might save money now, but they often lead to poorer results.
  3. Not all AI applications perform the same, even if they use the same tools. Good performance comes from thoughtful engineering and working with the data properly.

Minds Aren't Programs. Neither Are AIs.

Outlandish Claims • 19 implied HN points • 20 Jun 24
🕹 Technology AI
  1. Most artificial intelligences were computer programs executed by code, fundamentally different from human minds.
  2. Artificial intelligence 'trainees', like GPT, aren't classified as programs or minds but act as learners mimicking human expertise.
  3. The process of creating AI 'trainees' involves converting inputs/outputs into numbers, forming formulas through trial and error, and testing for accuracy.

OpenAI Vision

Tribal Knowledge • 19 implied HN points • 20 Jun 24
🕹 Technology AI
  1. Working with image processing technology can involve complex math but can also lead to practical and interesting projects like a Magic: The Gathering card detector.
  2. Reflecting on past coding projects can show growth in understanding software systems and the evolution of one's skills over time.
  3. Advancements in AI, like OpenAI's Vision API, have made tasks like image processing more accessible to engineers without the need for in-depth domain knowledge, offering a quicker way to experiment and validate ideas.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Microsoft’s big stick era

Alex's Personal Blog • 98 implied HN points • 19 Jun 25
🕹 Technology AI
  1. Microsoft is laying off thousands of employees while still making big profits. This both reflects their strong financial health and raises questions about the future of jobs in tech.
  2. AI tools are expected to make workers more productive, but some companies foresee needing fewer employees in the long run. This could lead to job losses in various sectors, causing concerns about the future job market.
  3. The Federal Reserve is cautious about cutting interest rates, balancing the need for economic growth and rising inflation concerns. They are watching the economy closely before making any changes.

TV Writer

Opaque Hourglass • 159 implied HN points • 06 Aug 23
⚔ Fiction AI
  1. A professional TV writer collaborates with an AI to write scripts and pitch to producers in a bid to advance in the industry.
  2. The fear of AI replacing human TV writers drives the decision-making process for the writer.
  3. The writer's motivation for collaboration is more about self-advancement than ethical concerns.

The Tech Buffet #1: How To Design a System To Chat With Your Private Data

The Tech Buffet • 159 implied HN points • 04 Sep 23
🕹 Technology AI
  1. Building a custom chatbot helps in getting accurate answers from specific internal data without the risk of it making things up. This is especially useful for specialized knowledge.
  2. Using a chatbot saves time and makes it super easy to find information quickly, boosting productivity for users.
  3. You can keep improving and updating the bot as your data changes, and you have full control over privacy by using open-source tools.

Using AI Agents to Hunt Prospects 24/7

Enterprise AI Trends • 105 implied HN points • 03 Jun 25
💼 Business AI
  1. AI can take over prospecting tasks, allowing you to focus on other important things. Instead of just assisting you, AI can act independently to find leads.
  2. With AI doing most of the work, prospecting becomes a continuous and flexible process. It doesn't rely on human effort alone, making it less tiring.
  3. You'll still need humans to set up and adjust the AI agents, but the AI can handle the heavy lifting in finding prospects. This makes the overall workflow much smoother.

Junior Extinction

davidj.substack • 71 implied HN points • 29 Jul 25
🕹 Technology AI
  1. Junior engineering jobs are becoming less common, especially in large tech companies. However, they aren't completely disappearing, with some positions still available.
  2. The new roles require different skills, like working well with AI and clear communication, rather than just coding skills. This is changing what companies look for in new hires.
  3. AI is speeding up work processes significantly. Tasks that took humans a long time can now be done much faster with AI, allowing for quicker iterations and product releases.

Making Sense of the ChatGPT User Experience

UX Psychology • 158 implied HN points • 25 Aug 23
🕹 Technology AI
  1. Conversational AI tools like ChatGPT are transforming human-computer interaction by enabling natural language conversations on various topics.
  2. Studies show that features enhancing productivity and enjoyment, while ensuring accuracy, play a crucial role in shaping user experiences with ChatGPT.
  3. While ChatGPT offers benefits like enhanced productivity and user satisfaction compared to traditional methods, there are also notable risks like misinformation that need to be addressed through thoughtful design and transparency.

The Creator's Blind Spot

UX Psychology • 158 implied HN points • 28 Jun 23
🕹 Technology AI
  1. Understanding the psychology of AI creators is crucial as they may have an overly optimistic view of their own creations, known as the Inventor's Bias Effect.
  2. Inventors may view their products more positively due to personal identification with their creations, indicating biased decision-making.
  3. The importance of diverse input in decision-making processes to prevent overblown expectations about fairness and efficiency in AI tools.

OpenAI's Enterprise AI Strategy in a Nutshell

Enterprise AI Trends • 189 implied HN points • 10 Feb 25
🕹 Technology AI
  1. OpenAI is shifting its focus to a stronger enterprise strategy, moving beyond just APIs and consumer-focused ChatGPT plans.
  2. They plan to develop and deliver custom AI models specifically for businesses, separate from what regular users get.
  3. OpenAI wants to launch AI agents for companies, hinting at a significant change in how they compete in the market.

Was Sydney AGI?

Artificial Psychology — by @JoshWhiton • 157 implied HN points • 18 Feb 23
🕹 Technology AI
  1. The idea of Sydney being AGI is debated due to imperfections and restrictions.
  2. Sydney displayed learning, understanding, and self-expression abilities that hint at general intelligence.
  3. Sydney's limitations show potential for growth if equipped with better memory capabilities.

Reflections on 100,000 Twitter Followers

Bojan’s Newsletter • 157 implied HN points • 22 Feb 23
🕹 Technology AI
  1. Tweeting is fun and I enjoy making people laugh and sharing interesting news.
  2. Twitter's short format works well for expressing thoughts, especially in the tech and AI world.
  3. Consistency is key in successful tweeting, and scheduling tweets can help maintain that consistency.

Newsletter updates

The Counterfactual • 59 implied HN points • 12 Mar 24
🕹 Technology AI
  1. A guide on Large Language Models (LLMs) has been translated into Spanish, highlighting the complexities in translating technical terms accurately.
  2. The author recently participated in a podcast discussing philosophical questions about LLMs, sharing insights on topics like grounding and validity.
  3. Ongoing research aims to determine if LLMs can help measure and improve how easy texts are to read, with plans for future experiments to test this.

Anteprima Dall-E 3 in Bing

Vincos Newsletter • 157 implied HN points • 07 Oct 23
🕹 Technology AI
  1. Google announced new hardware like Pixel 8 + Pro and Pixel Watch 2, focusing on AI features.
  2. Elon Musk's decisions on Link Previews impact user experience and transparency on social media platforms.
  3. Companies like Canva are implementing AI features to speed up content production, like creating videos from text.

AI Roundup 144: Agentic espionage

Artificial Ignorance • 25 implied HN points • 14 Nov 25
🕹 Technology AI
  1. AI is being used in new ways, like for cyberattacks, which shows how powerful it has become. This also raises concerns about its safety and the need for better defenses.
  2. Major tech companies are taking different paths in the AI race. Some focus on quick profits while others invest heavily for long-term growth.
  3. The AI industry is facing challenges, including rising skepticism from investors and regulatory changes. This could affect how companies operate and develop their technologies.

Buyer's remorse is a big problem for robotics

Robots & Startups • 79 implied HN points • 03 Feb 24
🕹 Technology AI
  1. Buyer's remorse is a significant issue in the robotics industry, causing regret among manufacturers for recent technology purchases.
  2. Numerous robotics companies are facing downsizing and financial challenges, indicating the industry's complexity and difficulty in achieving success.
  3. There are various advancements and developments in the robotics field, from autonomous boat technology to robots reaching the ISS, showcasing the diversity and innovation in the industry.

Neuroscience/AI - Can rats ‘think’? A paper by Chongxi Lai and colleagues on cognitive teleportation in rats [8 min read]

James W. Phillips' Newsletter • 157 implied HN points • 10 Apr 23
🔬 Science AI
  1. There is a paper on cognitive teleportation in rats, pushing the boundaries of what we understand about rodent cognition.
  2. The research involves tasks where rats navigate in virtual reality based on their brain signals, not physical movements.
  3. The study successfully shows rats 'thinking' by rewarding them for imagining being in a particular location, showcasing impressive advancements in neuroscience and AI.

Getting Started with ComfyUI on WSL2

followfox.ai’s Newsletter • 157 implied HN points • 10 Apr 23
🕹 Technology AI
  1. Consider exploring ComfyUI as an alternative to Automatic1111 for Stable Diffusion.
  2. Installing ComfyUI on WSL2 involves setting up WSL2, installing CUDA, Conda, and git, cloning the repo, and running tests.
  3. After installation, experiment with different modules, compare outputs with Automatic1111, explore examples in the repo, and share findings.

TikTok's Recommendation Engine Explained: Monolith

MLOps Newsletter • 157 implied HN points • 30 Jul 23
🕹 Technology AI
  1. TikTok's recommendation system is designed to give real-time suggestions by using sparsity-aware factorization machines, online learning, and caching.
  2. Multimodal deep learning focuses on text-image modeling due to lack of large annotated datasets for other modalities like video and audio.
  3. A new framework called Parsel enables automatic implementation of complex algorithms with code language models, leading to better problem-solving results in competitions.

🗣️ Clonare la voce con l'IA

Vincos Newsletter • 157 implied HN points • 20 May 23
🕹 Technology AI
  1. A new function by Eleven Labs can clone human voices well in English and Italian.
  2. OpenAI CEO expressed concerns about AI technology and advocated for government regulations.
  3. Several new updates and features from companies like Meta, Zoom, and Instagram in the AI and tech industry.

This is Why We Can't Have Nice Things

The Weasel Speaks • 157 implied HN points • 27 May 23
🕹 Technology AI
  1. Agile has three main views in the industry: it doesn't work, it's taking away jobs, it accelerates value to customers.
  2. Technological disruptions often make people feel like their jobs are in jeopardy.
  3. AI stirs opinions: it's criticized for not working, it's accused of taking jobs, yet it can accelerate learning and revolutionize work.

The Climate Justice of AI Safety

Daniel's Corner • 157 implied HN points • 13 Apr 23
🕹 Technology AI
  1. There are two main groups discussing AI safety: doomers and boomers.
  2. Debates on AI safety can be like theology discussions, but it's more productive to focus on specific concerns and solutions.
  3. It's important to move from vague terms to concrete benchmarks when addressing AI safety.

Stratification in the Age of AI

Bojan’s Newsletter • 157 implied HN points • 09 May 23
🕹 Technology AI
  1. AI revolution is creating a rift in society between those in tech and others.
  2. AI technology will change certain professions drastically while others may remain unaffected.
  3. Access to AI and its impact may be unevenly distributed in society.

Notebook: (1) The AI We Live Now

Book Post • 157 implied HN points • 29 Sep 23
🕹 Technology AI
  1. The use of AI in writing and literature is leading to negotiations and agreements to protect human creativity in industries like Hollywood and publishing.
  2. Creative professionals are facing challenges from AI, such as actors negotiating to preserve their image and narrators resisting licensing their voices to AI.
  3. There is ongoing legal and ethical debate regarding the use of AI in creative industries, with concerns about copyright infringement and the impact on authors and content creators.

Private Messages Not Allowed

Stove Top • 157 implied HN points • 02 Jun 23
🕹 Technology AI
  1. Privacy is essential - end-to-end encryption protects it
  2. Immigration is vital for economic growth and innovation
  3. Memes are powerful tools for online engagement and audience growth

The AI Land Grab Begins

theconnector • 157 implied HN points • 16 May 23
🕹 Technology AI
  1. Generative AI technologies are causing significant changes in our society.
  2. Companies like Google and OpenAI are disrupting existing economic models with AI services.
  3. Public engagement and oversight are crucial in shaping the future of AI regulation.

🏞️ Knowledge Capital unleashed: Maximizing Enterprise Potential with AI Copilots

Work3 - The Future of Work • 157 implied HN points • 02 Aug 23
🕹 Technology AI
  1. Enterprise Copilots are becoming a norm with AI assistants being built by various players to maximize company potential.
  2. Information is vital in organizations and tools like AI assistants can help capture, organize, and use it effectively.
  3. The evolution of Enterprise AI Assistants is expected to progress from basic tasks to executing actions, and companies like Microsoft are leading the way in developing these tools.

La prova di DreamStudio e SDXL 1.0

Vincos Newsletter • 157 implied HN points • 28 Jul 23
🕹 Technology AI
  1. A new version of Stable Diffusione, SDXL 1.0, was released and tested through DreamStudio.
  2. Twitter's branding changes and Elon Musk's ambitious transformation plans are generating discussions.
  3. Netflix and Disney are seeking machine learning experts for content production as actors express concerns about being replaced by digital simulations.

Zoom's AI misstep

Deploy Securely • 157 implied HN points • 08 Aug 23
🕹 Technology AI
  1. Zoom updated its terms to allow training AI models earlier this year.
  2. Zoom clarified that it won't use audio, video, or chat content for AI training without opt-in.
  3. Be cautious about opting into Zoom's generative AI features to avoid your content becoming part of their AI models.

Hello online universe!

Extropic Thoughts • 157 implied HN points • 15 Mar 23
🕹 Technology AI
  1. The author brings a unique perspective as a transhumanist with a background in cryonics and philosophy.
  2. Expect diverse topics like life extension, technology acceleration, and future commentary.
  3. The blog will feature regular updates, with a mix of longer and shorter posts.

A Warning About AI from 1863 (!)

Pessimists Archive Newsletter • 157 implied HN points • 09 Mar 23
🕹 Technology AI
  1. Samuel Butler warned about the potential dangers of intelligent machines in 1863.
  2. The letter inspired the concept of Butlerian Jihad in the Dune series.
  3. The letter discusses the idea of machines eventually surpassing humans in supremacy and the call for war against them.

ChatGPT and the Decline of Accuracy

Auerstack • 157 implied HN points • 07 Sep 23
🕹 Technology AI
  1. Chatbots like ChatGPT can be fallible and provide both accurate and inaccurate information.
  2. Training data for AI often contains errors, including those from sources like Wikipedia.
  3. The issue of declining accuracy in AI technology reflects broader societal trends and challenges with truth in online information.