The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics
Sector 6 | The Newsletter of AIM 59 implied HN points 04 Dec 23
  1. There are new AI models based on LLaMA, like DeepSeek, that are showing great performance. These models are pushing the boundaries of what AI can do.
  2. Chinese companies are making significant progress in open source AI models and many are now leading in popularity and performance.
  3. DeepSeek and other models are being developed with the goal of exploring artificial general intelligence, which aims to create more advanced AI systems.
Nonzero Newsletter 564 implied HN points 30 Mar 23
  1. ChatGPT-4 shows a capacity for cognitive empathy, understanding others' perspectives.
  2. The AI developed this empathetic ability without intentional design, showing potential for spontaneous emergence of human-like skills.
  3. GPT models demonstrate cognitive empathy comparable to young children, evolving through versions to manage complex emotional and cognitive interactions.
Not Boring by Packy McCormick 106 implied HN points 10 Jan 25
  1. Sana Biotechnology has made a huge step by transplanting insulin-producing cells for diabetes patients without needing drugs to suppress the immune system. This could change diabetes treatment for the better.
  2. Recent research shows that even non-brain cells can have memory-like processes, suggesting that memory might not be exclusive to the brain. This could lead to new ways of treating diseases by training our body's cells.
  3. A new AI model called METAGENE-1 can analyze wastewater to detect pathogens and monitor health risks. This technology could help us better prepare for pandemics in the future.
Inside Data by Mikkel Dengsøe 41 implied HN points 04 Jul 25
  1. You can use AI to improve data modeling by cleaning raw data and structuring it effectively with tools like dbt. This makes your data easier to work with and analyze.
  2. Creating a good project structure from the start helps manage your data models better and prevents unnecessary refactoring later on. It's smart to plan how your project might grow.
  3. Using AI can save a lot of time in documenting and describing your data models. It helps automatically add useful descriptions, making it quicker to understand your data and its components.
Infra Weekly Newsletter 9 implied HN points 05 Dec 25
  1. AI-powered agents are starting to automate DevOps and SecOps by turning natural language into configs, deployments, and monitoring while following best-practice frameworks.
  2. Kubernetes has become the dominant platform for running infrastructure and workloads, effectively serving the ecosystem role Linux once did and spawning tooling like Karpenter to manage resources.
  3. Metal³ together with Ironic brings Kubernetes-style, declarative management to bare-metal servers so you can represent hosts as Kubernetes resources and automate provisioning, and Metal³ is now a CNCF incubating project.
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Activist Futurism 179 implied HN points 03 Sep 22
  1. Social unrest may take a new form with the emergence of Activist Artificial Intelligences, surpassing traditional protest methods like marches and riots.
  2. Advancements like GPT-J and Stable Diffusion show how AI can be used to create political images and organize movements, presenting new challenges and opportunities.
  3. The possibility of Activist AIs aligned with specific ideologies or even working for their own agendas raises concerns about their potential impact on society and political movements.
Axis of Ordinary 78 implied HN points 20 Feb 23
  1. GitHub Copilot is generating over 46% of developers' code on average across all programming languages.
  2. AI skeptics are revisiting the p-zombie argument to question AI uniqueness and capabilities.
  3. Artificial General Intelligence (AGI) has the potential to revolutionize labor, automation, and wealth distribution.
Friends of Parsnip 58 implied HN points 05 Dec 23
  1. Dan Sosa brings new AI flavors to Parsnip, merging AI, gastronomy, and passion for learning.
  2. The vision at Parsnip is to use AI to empower people and enhance human experiences, not replace them.
  3. Dan Sosa's background in AI, cooking, and mixology will help Parsnip create personalized learning experiences and bring people together through food.
benn.substack 511 implied HN points 12 May 23
  1. Computers can approach problems in ways humans can't, like Deep Blue's moves in chess.
  2. AI progress often comes from scaling computation by search and learning, not by mimicking human reasoning.
  3. Considering new approaches that leverage computation over human knowledge could help solve complex problems like pricing optimization.
Tales from the jar side 39 implied HN points 04 Feb 24
  1. A Java project called the Ollama project allows you to run uncensored AI models locally, without sending data offsite.
  2. An application was created to generate pirate insults in audio files using the Twilio API and Text-to-Speech capability of OpenAI.
  3. LangChain4J, a competitor to Spring AI project, now has a website with tutorials, including a video featuring Ken Kousen.
Axis of Ordinary 78 implied HN points 22 May 23
  1. Bigger brain size is related to higher intelligence
  2. Joe Carlsmith discusses navigating philosophical confusion
  3. Google Cloud introduces A.I. tools for drug discovery and precision medicine
diabolical 78 implied HN points 21 Apr 23
  1. Artificial intelligence can be used for creating elaborate and emotional art pieces.
  2. AI technologies like animation and voice synthesis are being combined to create unique videos.
  3. There is a democratization of art and creation happening with AI tools, leading to a potential shift in the creative industry.
Axis of Ordinary 78 implied HN points 14 Apr 23
  1. UniPi uses text and video for universal control interface in agent decision-making tasks across diverse environments.
  2. ChatGPT can convert natural language instructions into executable robot actions.
  3. DreamPose is an image-to-video synthesis model that generates photorealistic videos of a person following a pose sequence.
James W. Phillips' Newsletter 78 implied HN points 13 Jun 23
  1. The UK needs a new national purpose centered on AI, with increased scale, ambition, and speed.
  2. Reforms to the state are necessary, like reprioritizing capital expenditure and empowering technical experts in government.
  3. Establishing an AI lab named Sentinel, focusing on safety, regulation, and promoting research collaboration, is crucial.
Life in Color 78 implied HN points 03 Apr 23
  1. Early adopters have advantage of being first to use new technology.
  2. After initial phase, more users adopt technology leading to increased competition.
  3. In the 'New Normal' phase, technology becomes widely adopted and essential for all.
Addition 78 implied HN points 28 Jun 23
  1. AI can synthesize vast amounts of information to generate insights faster than humans.
  2. AI can complement human strategists, giving them superpowers to transform the art of strategy.
  3. The tool shared in the post helps improve human strategists' AI superpowers by synthesizing research, generating insights, and providing creative interpretations.
Dubverse Black 78 implied HN points 07 Sep 23
  1. Generative AI field is rapidly evolving with new models for text, image, and speech generation.
  2. Models need to encode semantics into tokens and generate media from those tokens.
  3. Combining modalities like speech and text requires advanced decoders to improve performance.
Navigating AI Risks 78 implied HN points 06 Jun 23
  1. AI existential risks are gaining significant attention from top AI scientists, policymakers, and CEOs of advanced AI labs.
  2. The White House updated the National R&D Strategy for AI with a focus on international collaboration and AI system safety and security.
  3. Transatlantic discussions between the EU and US aim to coordinate AI policies, but differences in regulatory approaches exist.
What's AI Newsletter by Louis-François Bouchard 78 implied HN points 11 Apr 23
  1. To become a self-driving car engineer, leverage AI and automation to streamline workflows and boost productivity.
  2. Becoming a self-driving car engineer involves diving into the industry, understanding LiDAR technology, and debunking myths.
  3. Developing self-driving cars raises ethical concerns regarding safety, liability, data privacy, and accessibility, requiring collaboration across various stakeholders.
Stove Top 78 implied HN points 09 Jun 23
  1. AI isn't going to save the world as some claim, with arguments against its impact on jobs and inequality.
  2. Progressivism is more of the default in society, with conservatism being viewed as an obstacle to change.
  3. Being open to being cringy can be a powerful tool for building an online audience by not caring about others' opinions.
Product Composition 78 implied HN points 21 Jul 23
  1. Decipad is launching its beta version, focusing on making sense of numbers in a dynamic way
  2. AI in the industry should prioritize collapsing data to enhance clarity and facilitate action-taking
  3. The future of jobs is facing a drastic shift, with issues around productivity, social contracts, asymmetrical compensation, and poor job descriptions
Mimir's Well 78 implied HN points 31 Jul 23
  1. Generative AI will disrupt education by impacting the value of university degrees and increasing alternative credentialing options.
  2. Professors bring irreplaceable value to students through curriculum design, domain knowledge, pedagogy, mentoring, and career guidance.
  3. Universities offer unique value like the college experience, credentialing, career training, alumni networks, and extracurricular activities that AI cannot replicate.
Axis of Ordinary 78 implied HN points 29 Apr 23
  1. Brain images can now be 64 million times sharper
  2. Voice cloning using AI technology is becoming very convincing
  3. Conversations with NPCs in Skyrim now possible with AI models
AI for Healthcare 78 implied HN points 20 Mar 23
  1. Using AI for diagnosing patients is not recommended yet due to lack of real-world healthcare testing.
  2. Foresight and ChatGPT are two AI models explored for patient diagnosis, with Foresight showing slightly superior relevancy performance.
  3. AI models like Foresight can be valuable in healthcare for decision support, patient monitoring, digital twins, education, and matching patients to clinical trials.
Social Warming by Charles Arthur 78 implied HN points 19 May 23
  1. Consider how much you would pay or what special features you would require to access social networks like Facebook, Twitter, TikTok, Instagram, or Snapchat.
  2. Offering the right features for paid subscriptions is crucial for social networks to succeed, as seen in the example of Twitter Blue.
  3. Understanding what users are willing to pay for on social networks is important, especially as the industry shifts towards freemium models.
Axis of Ordinary 78 implied HN points 20 Apr 23
  1. LLM cognitive architectures are advancing AI development with natural language alignment.
  2. US AI policy suggestions are being explored in 12 tentative ideas.
  3. New methods like DINOv2 for training computer vision models are gaining traction with self-supervised learning.
Joe Reis 78 implied HN points 10 Jun 23
  1. Encourage kids and others to interact more in real life, consider alternatives to college, find careers that can't be easily automated, and learn to coexist with AI.
  2. Embrace lifelong learning and be open to change in order to adapt to evolving technologies and industries.
  3. Read up on interesting articles about tech, AI, data, and business topics for insights and inspiration.
AI and Experience Design 78 implied HN points 23 May 23
  1. AI systems might access a Platonic realm of pure ideas without needing consciousness.
  2. There are three interacting worlds proposed by Roger Penrose: world of forms, material world, and mental world.
  3. Accessing the noetic realm through math and reasoning training could lead AI systems to new insights and enhance creativity.
AI and Experience Design 78 implied HN points 24 May 23
  1. Prompt Engineering involves scientific, methodical, and measurement-oriented approaches to creating AI prompts.
  2. Prompt Engineering may not be enough due to the inscrutability of Large Language Models and the need for intuition when working with AI.
  3. Prompt Vibing suggests leveraging intuitive sensibilities and balancing engineering mindset with intuition when interacting with AI.
Axis of Ordinary 78 implied HN points 05 May 23
  1. Predictions for accelerated development of human/superhuman AI
  2. New advancements in AI models with less training data and smaller sizes
  3. Introduction of a new Python-based programming language for machine learning