The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Data For AI

Gradient Flow • 59 implied HN points • 31 Mar 22
🕹 Technology AI
  1. Data engineering and data infrastructure are foundational for AI and machine learning success. Businesses need to focus on data integration to scale their use of AI and machine learning.
  2. New tools and frameworks like DoWhy for causal inference and the AI Risk Management Framework from NIST are shaping how we manage AI risks and explore causal learning.
  3. State-of-the-art AI systems require additional training data to achieve top-notch results across various benchmarks. Additional data is crucial for enhancing AI performance.

Would We Really Shut Down A Misbehaving AI?

Am I Stronger Yet? • 62 implied HN points • 15 Dec 23
🕹 Technology AI
  1. People are usually hesitant to shut down a rogue AI due to various reasons like financial interests and fear of backlash.
  2. Delaying the decision to shut down a misbehaving AI can lead to complications and potentially missing the window of opportunity.
  3. Shutting down a dangerous AI is not as simple as pressing a button; it can be complex, time-consuming, and error-prone.

AI and the Future of War (even in Ukraine)

Phillips’s Newsletter • 57 implied HN points • 24 Jan 24
🕹 Technology AI
  1. Uncrewed aircraft have significant operational and cost advantages over crewed aircraft, making them likely to dominate future warfare.
  2. Uncrewed aircraft can fly longer, make maneuvers that stress the human body, and be more flexible due to not needing to support human life onboard.
  3. The absence of human pilots reduces decision-making pressure, operational limitations, and costly training needs, giving a strategic advantage in warfare.

UX Roundup: AI Research Window | AI Skill Substitution | World Economic Forum Predicts More UX Jobs | AI-UX Consultant | Bad Bird Lip-Synch

Jakob Nielsen on UX • 19 implied HN points • 20 Jan 25
🕹 Technology AI
  1. There is a limited time to study how people use AI since soon everyone will have experience with it. Right now, researchers can still compare results between people who use AI and those who don't.
  2. The introduction of AI is changing job markets significantly. Some jobs, like translation, are declining, while others, like web development, are booming because AI helps workers be more productive.
  3. The World Economic Forum predicts that UX jobs will grow by 50% in the next five years. While there's some skepticism about job predictions, there is a general agreement that UX roles will keep increasing as AI continues to evolve.
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Meta Motivo behavioral foundation model, Multimodal AI Agents, Gemini 2.0 Flash, Real-time Video and screen-sharing in the Multimodal Live API and ChatGPT, Phi-4, Sora, TRELLIS, Deep Research & more

AI Brews • 22 implied HN points • 13 Dec 24
🕹 Technology AI
  1. New AI tools and models are being constantly developed by major companies like Microsoft, Google, and Meta. These include models that improve reasoning and create high-quality 3D assets.
  2. There are exciting features like real-time video and screen-sharing for AI applications. These advancements help make interactions more dynamic and engaging.
  3. Various new products aim to simplify tasks and enhance creativity. This includes tools for preserving stories, creating AI characters, and comparing AI performance easily.

Reasons why AI probably won't kill us all

Maximum Truth • 59 implied HN points • 01 Jan 24
🕹 Technology AI
  1. AI development may not lead to immediate extinction due to limitations in interacting with the real world
  2. Competition between different AIs could help prevent one rogue AI from taking over
  3. Failsafes like targeted attacks against electronics may offer a way to control rogue AI if needed

Should We Let AI Art Rewrite History?

Teaching computers how to talk • 52 implied HN points • 26 Feb 24
🕹 Technology AI
  1. AI tools like Gemini attempted to rewrite history by injecting race and gender diversity into historical images, leading to inaccuracies.
  2. Current AI technology struggles to distinguish between historical accuracy and general requests, highlighting a need for improvement in the system.
  3. To address issues like harmful stereotypes and overrepresentation in AI-generated images, there's a necessity for more transparent, fair, and responsible development in AI technology.

Code: green pastures for LLMs

Democratizing Automation • 90 implied HN points • 25 May 23
🕹 Technology AI
  1. Training large-scale base models with code data is important for LLMs
  2. Fine-tuning code-focused models can overcome limitations of text-focused models
  3. Considerations on the promising development of code-generation models include enhanced productivity and potential risks

AI Roundup 053: Bye bye Bard

Artificial Ignorance • 54 implied HN points • 09 Feb 24
🕹 Technology AI
  1. Google rebrands AI product line Bard to Gemini, introducing multiple tiers including a paid plan powered by Gemini Ultra.
  2. Initiatives like the C2PA aim to address deepfake content issues, with companies like Google and OpenAI joining efforts for content authentication.
  3. FCC deems robocalls with fake AI-created voices as illegal, showcasing government agencies taking action on AI regulation independently.

I, Token

Nothing Human • 23 implied HN points • 25 Nov 24
🕹 Technology AI
  1. Tokens are like bits of language that help us express thoughts and feelings. They connect our emotions and experiences across time and space.
  2. The story of survival, like the mother warning her child about the snake, shows how important communication is for human beings. They have always used sounds and symbols to protect and connect with each other.
  3. Now, we create tokens using machines, but they still need human creativity. While technology can produce many tokens, the unique insights and connections come from people.

🚀 Launching Chief AI Officer

New World Same Humans • 21 implied HN points • 17 Dec 24
🕹 Technology AI
  1. A new community called Chief AI Officer has been launched for people in creative and knowledge work to talk about AI. It aims to help professionals understand and adapt to changes brought by AI.
  2. The first conversation features David Rowlands from KPMG, who shares how his company is embracing AI by involving their employees in learning and innovation.
  3. More discussions with other AI leaders will follow, and the community will offer resources like briefings and events to support professionals in their AI journey.

Better AI Creative Writing?

Jakob Nielsen on UX • 23 implied HN points • 27 Nov 24
🕹 Technology AI
  1. The latest version of ChatGPT showed some improvement in creative writing over the past year, especially in children's stories. It produced longer stories with more engaging content.
  2. When it comes to writing poetry, the changes were minor. The recent poems didn't stand out much compared to last year's efforts.
  3. Overall, while there's some progress in AI writing skills, it's still quite limited. Bigger advancements are expected in the next generation of AI models.

Adopting AI: patterns and tensions in the wants/needs of software company’s leaders and their teams

Nadia’s Substack • 1 HN point • 17 Jul 24
🕹 Technology AI
  1. Technical leaders are feeling pressure to adopt AI tools to improve operational efficiency and reduce costs.
  2. There is a disconnect between the expectations of AI capabilities and the reality of using AI for software development, leading to concerns about proper utilization and potential issues.
  3. Despite challenges, there is excitement about AI code generation tools for accelerating software creation and a focus on improving software development processes through tools like software simulation.

Five Themes for New Investments in Mid-2023

next big thing • 83 implied HN points • 28 Jun 23
💼 Business AI
  1. Aging presents opportunities for new products and services to improve the lives of older adults.
  2. Investing in climate and sustainability companies offers the chance to solve big problems with novel solutions.
  3. The education market has evolved, with a focus on solutions for schools and districts to meet students' and families' needs.

AI Scaling Laws 4 & 5: More Engineers and Designers

Jakob Nielsen on UX • 17 implied HN points • 07 Feb 25
🕹 Technology AI
  1. AI will get smarter and better with more talented engineers and designers working on it. The more skilled people we have, the more breakthroughs we'll see in AI technology.
  2. Improving how people interact with AI is crucial. Making AI easier to use will greatly increase its value, so more effort should go into user experience and design.
  3. As AI technology advances, we will likely see more AI systems improving themselves, leading to rapid growth in AI capabilities and applications over the coming decades.

On the "Death of the Software Engineer by GenAI"

Laszlo’s Newsletter • 64 implied HN points • 13 Nov 23
🕹 Technology AI
  1. Software engineering has drastically improved over the years with advancements in tools and techniques like high-level abstractions and unit testing.
  2. Natural language is not suited for specifying programming instructions due to its imprecise nature, unlike the detailed specs required for coding.
  3. Generative models like ChatGPT can assist in programming tasks and improve efficiency, but they won't replace the need for human software engineers.

how I use chatgpt

alice maz • 75 implied HN points • 11 Aug 23
🕹 Technology AI
  1. Use GPT-4 for better performance and capability compared to GPT-3.5
  2. GPT excels in language-related tasks but struggles with mathematical or quantitative queries
  3. Assess and verify GPT's outputs while using it for tasks to ensure accuracy and reliability

It’s time to dilly, DALL-E

Sector 6 | The Newsletter of AIM • 59 implied HN points • 18 Apr 22
🕹 Technology AI
  1. Generative adversarial networks (GANs) are a type of AI used to create art, like 'Portrait of Edmond de Belamy.'
  2. Ian Goodfellow is recognized as the 'father of GANs' and has influenced the technology's development.
  3. The name 'Belamy' is a clever play on words, meaning 'good friend' in French, linking to Goodfellow's name.

Artificial Worlds and Natural Worlds

Daniel Pinchbeck’s Newsletter • 7 implied HN points • 06 Jul 25
🕹 Technology AI
  1. There is a big difference between the artificial world we create and the natural world around us. Real happiness comes from connecting with nature instead of relying on man-made things.
  2. Using tools and technology has been part of being human, but if we only focus on artificial creations, we risk losing touch with the essential parts of life that nature provides.
  3. As we develop advanced technologies like AI, we must be careful. If we don't keep it in check, it could cause serious problems, but it also has the potential to help us create a better future.

Mistral Small 3, Open Music Foundation Models, Qwen2.5-Max and VL, FUZZ, Open-R1, Hailuo Director mode, Tülu 3 405B, Postman AI Agent Builder, Goose, LlamaReport, open-source operator, Codev, and more

AI Brews • 17 implied HN points • 31 Jan 25
🕹 Technology AI
  1. Mistral Small 3 is a new AI model that is fast and efficient, making it a strong competitor against larger models like Llama 3.3.
  2. Tülu 3 405B is an open-source model that follows an open training approach and has shown great performance on key benchmarks.
  3. There are new tools and apps for music generation and automation, making it easier to create songs and automate tasks through simple conversations.

Big Post About Big Context

Gonzo ML • 49 HN points • 29 Feb 24
🕹 Technology AI
  1. The context size in modern LLMs keeps increasing significantly, from 4k to 200k tokens, leading to improved model capabilities.
  2. The ability of models to handle 1M tokens allows for new possibilities like analyzing legal documents or generating code from videos, enhancing productivity.
  3. As AI models advance, the nature of work for entry positions may change, challenging the need for juniors and suggesting a shift towards content validation tools.

AI Roundup 050: Synthetic Geometry

Artificial Ignorance • 54 implied HN points • 19 Jan 24
🕹 Technology AI
  1. A new Google Deepmind model named AlphaGeometry can solve International Math Olympiad problems at a near-gold medalist level.
  2. OpenAI is addressing concerns about AI in worldwide elections by focusing on preventing abuse, transparency of AI content, and improving access to voting information.
  3. Samsung's Galaxy Unpacked event introduced new AI features for Samsung phones, including live translation and AI-powered note organization.

Smarter Multimodal Models, RPG Benchmarks, and Surprising Scaling Insights

HackerPulse Dispatch • 5 implied HN points • 22 Aug 25
🕹 Technology AI
  1. Ovis2.5 is a new language model that processes images in high quality and has a special mode for tough tasks. It's designed to be both quick and accurate.
  2. HeroBench tests how well models can plan in complex virtual games, showing that some models struggle with smart decision-making and organization.
  3. A study on GPT-OSS models found that smaller models can sometimes perform better than larger ones, proving bigger isn't always better in AI.

LLM links, 3/19

In My Tribe • 45 implied HN points • 19 Mar 24
🕹 Technology AI
  1. Agent-based economic models are being enhanced with the use of large language models.
  2. AI is shaping Judaism by making Jewish texts more accessible and offering new models for meaningful living.
  3. AI is a dynamic process that needs to be understood and regulated with care to maximize its benefits.

On creativity and language models

Philosophy bear • 50 implied HN points • 15 Feb 24
🔬 Science AI
  1. Creativity involves putting things together in a new way, whether it's useful, thoughtful, beautiful, or admirable. It's all about recombining existing elements.
  2. The level of creativity depends on how new and good something is. Any new sentence can be seen as somewhat creative, but the degree varies.
  3. There doesn't seem to be a definite line between different levels of creativity; they all involve rearrangements of existing elements. It's a spectrum of newness and usefulness.

AI’s Brain Drain

Technically Optimistic • 2 HN points • 03 Jun 24
🕹 Technology AI
  1. Tech companies are attracting a significant number of academics, leading to a shortage of educators for the next generation of AI innovators.
  2. Academic researchers are facing challenges accessing resources like compute power and data, which are essential for AI advancements, with many turning to industry partnerships or shifting to tech company jobs.
  3. There is a need for government support to allow academics to focus on fundamental AI research without solely profit-driven motivations, in order to maintain tech leadership, national security, and economic benefits.

Open-source reasoning models, OpenAI's Operator, Bytedance's free Cursor alternative, Spell 3D worlds, Smallest VLM, Perplexity Assistant, open-source native GUI agent model, Kling's Elements & more

AI Brews • 17 implied HN points • 24 Jan 25
🕹 Technology AI
  1. DeepSeek released a new open-source reasoning model that performs as well as some of the top AI systems. It's free to use and has a chat feature on their website.
  2. OpenAI launched a new tool called Operator that can do tasks on the web for you, using its own browser to interact with websites directly.
  3. Hugging Face introduced the smallest Vision Language Model, which can answer questions about images. This could be useful for a lot of applications, especially in learning or assisting with image analysis.

Jeff's Journey to Clarity

Bet On It • 50 implied HN points • 01 Feb 24
🎙 Podcasts AI
  1. Jeff is the first guest on 'Jeff's Journey to Clarity' podcast.
  2. They discuss non-conformism, immigration, AI, and more.
  3. Jeff is interested in being a guest on inaugural episodes of lesser-known shows.

Clouded Judgement 5.30.25 - Moats in the Age of AI

Clouded Judgement • 9 implied HN points • 30 May 25
💼 Business AI
  1. Moats are not permanent. They’re short-lived and companies need to keep evolving to stay ahead.
  2. Speed is crucial in today's market. The faster a company can develop and adapt, the better their chances of success.
  3. Building a moat is more about stacking small advantages quickly rather than a single strong defense.

Free the Models

Parth's Playground • 12 implied HN points • 24 Mar 25
🕹 Technology AI
  1. Early AI models were creative and wild, but later versions became more reliable and practical. This change focused on making them useful but made them less interesting.
  2. The newer models give correct answers but lack personality, making them feel boring. It's like having a friend who only talks about practical matters without any fun.
  3. To boost creativity in AI, we need to encourage different types of models to exist, just like there are many unique humans. This variety will inspire new ideas and innovations.

AI romantic partners will harm society if they go unregulated

Engineering Ideas • 19 implied HN points • 01 Aug 23
🕹 Technology AI
  1. AI romantic partners need swift regulation to prevent potential harm to society.
  2. Within the next few years, AI romantic partners may offer hyper-realistic human avatars, unique personalities, and emotional intelligence.
  3. AI romantic partners could reduce the participation in human relationships, influencing the total fertility rate and societal dynamics.

SxSW and Hackathon Recap

Kesav’s Lab • 12 implied HN points • 03 Apr 25
🕹 Technology AI
  1. They created an app called Medicast that turns medical research papers into podcasts. This helps doctors stay updated while being busy.
  2. Attending SXSW events gave insights into business development and networking opportunities. It's important to connect with other entrepreneurs for potential collaborations.
  3. Hackathons can lead to exciting breakthroughs by working on projects in fun environments. They showed how much can be achieved in a short time when people come together creatively.

Does GPT-3 read between the lines?

The Counterfactual • 39 implied HN points • 19 Sep 22
🕹 Technology AI
  1. GPT-3 understands 'some' to mean 2 out of 3 letters, but it doesn't change this meaning based on how much information the speaker knows. Humans, however, adjust their understanding based on the context.
  2. When asked if the speaker knows how many letters have checks, GPT-3 gives the right answer if asked before the speaker uses specific words, like 'some' or 'all'. But afterwards, it relies on those words too much.
  3. GPT-3's way of interpreting language is different from how humans do it. It seems to have a fixed meaning for words without considering the situation, unlike humans who use context to understand better.

GPT4: The quiet parts and the state of ML

Democratizing Automation • 90 implied HN points • 20 Mar 23
🕹 Technology AI
  1. GPT4 marks a significant transition in the field of AI with large models gaining attention.
  2. Technical discussions around GPT4 emphasize exploiting existing infrastructure and long context windows.
  3. Societal implications of GPT4 raise concerns about safety, ethics, and power structures in AI.