The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Mastering the Alchemy of AI Storytelling: Paid Subscriber Offer

Daniel Pinchbeck’s Newsletter • 1 implied HN point • 21 Nov 25
🕹 Technology AI
  1. A collaborative workshop will teach you how to create AI videos. It focuses on making socially valuable, inspiring video statements that could go viral.
  2. The skills you learn are broadly useful and can be applied to many different creative and promotional projects. You'll also get to practice and build them in a group setting.
  3. Access to the full workshop requires a paid subscription, but a 7-day free trial is available for a limited one-week offer. Sign-up is time-limited if you want to join.

I have access to Claude-3 Opus, a (seemingly) considerably more advanced model than GPT-4, ask it anything

Philosophy bear • 28 implied HN points • 05 Mar 24
🕹 Technology AI
  1. Claude-3 Opus is a highly advanced model compared to GPT-4, especially in reasoning capabilities, scoring impressively on GPQA and other tests.
  2. The model's knowledge base is top-notch, performing as well as or better than a graduate student with Google access in specific sciences.
  3. Questions posed to Claude-3 Opus should be challenging, aiming for queries that most people would answer correctly but the model might get wrong, to reveal its strengths and weaknesses.

Summaries without originals

Internal exile • 29 implied HN points • 16 Feb 24
🕹 Technology AI
  1. Concern is rising that tech companies developing AI models may eventually run out of human-generated data to train the models, leading to a potential collapse of the models themselves.
  2. The use of Large Language Models (LLMs), such as AI-generated text, may interfere with human intentional communication and risk creating a future where discourse is processed only by machines, wasting everyone's time.
  3. AI technologies like LLMs can be used to manipulate power dynamics, disempower individuals, and dehumanize interactions, ultimately reshaping social relations and relegating human voices to the background.
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The MCP Registry Opportunity

The API Changelog • 1 implied HN point • 21 Nov 25
🕹 Technology AI
  1. The MCP registry is acting like an app store, becoming the central connector that lets AI agents find and use third‑party tools directly.
  2. Zero‑friction, API‑based publishing caused thousands of MCP servers to appear quickly, creating a two‑sided platform of producers and consumers.
  3. That rapid open growth brings quality and discovery problems, so the registry will need curation or verification to keep user trust or risk losing the marketplace role to competitors.

Elicit

Fifty Years News • 38 implied HN points • 25 Sep 23
🕹 Technology AI
  1. Preventing hallucinations and improving AI efficiency is important in AI development.
  2. Elicit has the potential to generate substantial revenue by assisting various industries in speeding up research processes.
  3. Elicit's systematic and transparent approach to research aims to have a significant positive impact on society by accelerating scientific discovery.

The most profitable films ever

SatPost by Trung Phan • 53 implied HN points • 31 Mar 23
🎭️ Culture AI
  1. The most profitable Hollywood films are not always the big-budget blockbusters; sometimes low-budget horror films make the highest return on investment.
  2. AI-generated images, like the viral Pope Coat, can be incredibly realistic, leading to potential misinformation and the need for increased online skepticism.
  3. Apple's Mixed Reality headset aims for a niche market, with parallels drawn to the slow but eventually successful trajectory of the Apple Watch.

Should we worry?

Sudo Apps • 32 implied HN points • 22 Dec 23
🕹 Technology AI
  1. AI advancements come with risks like misuse and content flooding.
  2. AI automation may lead to job displacement and increased productivity.
  3. Managing AI advancement involves differing perspectives, safety regulations, and government frameworks.

40 under 40 data scientists, ConvNets & AI landscape in India 🎮🎚 🕣🎀

Sector 6 | The Newsletter of AIM • 39 implied HN points • 23 Jan 22
🕹 Technology AI
  1. The '40 under 40' list highlights outstanding data scientists in India. These are young professionals making significant impacts in the field.
  2. Nominations are currently open for the '50 Best Firms In India For Data Scientists To Work For'. This is a chance for companies to showcase their work environment and culture.
  3. The Machine Learning Developers Summit recently concluded successfully. It brought together many experts and resources in the machine learning community.

Guest post: Do Androids Dream Of Electric Grief?

Reactionary Feminist • 9 implied HN points • 31 Jan 25
🕹 Technology AI
  1. AI grief support tools are becoming popular. They can create avatars of deceased loved ones to help people cope with loss, but there's a debate about if they really help or just keep people in denial.
  2. Modern society tends to rush people through their grief. This pressure can make it harder for individuals to process their feelings and leads to unhealthy mourning experiences.
  3. Without traditional mourning rituals, people may struggle to find meaningful ways to grieve. Rituals can help offer structure and support during an emotionally challenging time.

Why OpenAI most likely paid Apple and will be the clear winner in the new Apple Intelligence play

Power Platform News • 1 HN point • 11 Jun 24
🕹 Technology AI
  1. OpenAI likely paid Apple for the privilege of being integrated into Apple's software, as it benefits both companies.
  2. Through the partnership, OpenAI can significantly increase its user base of ChatGPT and gain valuable data for training its models.
  3. This collaboration could position OpenAI as a major competitor to Google by offering a ChatGPT version that generates more meaningful data.

2023: Three Predictions

Tech Ramblings • 19 implied HN points • 08 Jan 23
🕹 Technology AI
  1. Crypto is likely to struggle moving forward. Many projects turned out to be less valuable than they promised, and the hype around crypto is fading.
  2. AI technology is expected to keep growing. New tools and applications are popping up, and understanding machine learning will be key for future job opportunities.
  3. The startup scene is going to get tougher. Companies will face more challenges, especially those with inflated valuations, but there will also be chances for new, innovative startups to succeed.

Non-Newtonian Computing?

Bzogramming • 30 implied HN points • 07 Jan 24
🕹 Technology AI
  1. Physics has alternative framings like Lagrangian and Hamiltonian mechanics, which could inspire new ways of viewing computation.
  2. Reversible computing, preserving information by having bijective gates, is crucial for energy efficiency and future computing technologies.
  3. Studying constraint solvers and NP-complete problems can lead to insights for accelerating search algorithms and developing new computing approaches.

AI, ML & Data Science Courses Galore ✨

Sector 6 | The Newsletter of AIM • 19 implied HN points • 13 Nov 22
🕹 Technology AI
  1. More universities are now offering AI, ML, and data science courses. This makes it easier for people to learn these important skills.
  2. These courses come in both full-time and part-time options, giving flexibility to students with different schedules.
  3. The growth of these programs shows a rising demand for knowledge in AI and data science fields, indicating they are becoming crucial for many careers.

Update #68: Whispering Indigenous Languages and Neural Net Training Dynamics

The Gradient • 27 implied HN points • 13 Feb 24
🕹 Technology AI
  1. Papa Reo raised concerns about Whisper's ability to transcribe the Māori language, highlighting challenges faced by indigenous languages in technology.
  2. Neural networks learn statistics of increasing complexity throughout training, with a focus on low-order moments first before higher-order correlations.
  3. Including native speakers in language corpora and model evaluation processes can substantially improve the performance of natural language processing systems for languages like Māori.

Once the Cosmos Become Commonplace

Castles in the Sky • 26 implied HN points • 29 Feb 24
🕹 Technology AI
  1. Dreams can come unexpectedly and take us far.
  2. Fear is often an unnecessary burden in modern times.
  3. Technology like AI holds great potential for human advancement, but it is crucial to remember that it is a tool guided by human imagination and purpose.

UX Roundup: Designing AI Voices | AI Narrows Skill Gaps | New Music Video | Talk to Santa | Misadventures in Image Prompting | Bezos 95% AI | Multi-Tool AI Workflow | AI-UX Jobs

Jakob Nielsen on UX • 11 implied HN points • 16 Dec 24
🕹 Technology AI
  1. AI voice design can now express emotions, allowing users to create custom voices with specific feelings like enthusiasm or assertiveness. This could be especially valuable for brands looking to connect with their audiences more effectively.
  2. Recent studies show that AI helps less skilled users improve more than skilled users, meaning it can level the playing field. AI acts like a mental forklift, making complex tasks easier for everyone.
  3. Combining different AI tools is often necessary to create things like music videos, as each tool has its strengths. There's a big opportunity for new AI products that simplify this process and focus on user intent.

China Forecasts and AI

The Good blog • 26 implied HN points • 25 Feb 24
🌍 World Politics AI
  1. China's ability to advance in AI is limited without significant political reforms, but democratic reforms may not be necessary for competitiveness.
  2. Historically, most countries that transition from low-income to middle-income status only need to get a few key factors right, like urbanization and rule of law.
  3. China faces challenges in sustaining economic growth due to factors like rising wages, an aging population, and the need to transition to developing frontier technologies.

December Newsletter

RSS DS+AI Section • 11 implied HN points • 01 Dec 24
🕹 Technology AI
  1. There are ongoing discussions about the ethical use of AI, especially in healthcare and military. It’s important to think about privacy and the implications of these technologies.
  2. New developments in data science and AI research are exciting, such as improved models for training and reasoning. It's a fast-paced field with many recent breakthroughs.
  3. Generative AI is evolving quickly, with many companies working on new models and applications. This includes features like AI-generated summaries of content you're watching.

From Papercuts to Autopilot: The Future of Feedback

Kathy PM • 7 implied HN points • 24 Mar 25
🕹 Technology AI
  1. AI can help manage and interpret user feedback, making it easier to spot problems before users even notice. It could automatically suggest improvements while freeing up time for developers.
  2. There are several AI tools available now that can help teams organize customer feedback, summarize reports, and brainstorm ideas. These tools can make feedback easier to handle day-to-day.
  3. While AI will enhance the feedback process, human insight is still vital. People must interpret feedback in context and find creative solutions that AI alone cannot provide.

#168 – Tariffs, Tai Chi, and T-Shirts

Below the Line from Kevin LaBuz • 4 implied HN points • 22 Jun 25
💼 Business AI
  1. E-commerce is stabilizing after a rocky period, showing steady growth despite some challenges. Companies are focusing on maintaining balance without significant booming or breaking.
  2. Consumer spending is still strong but cautious, with people opting for smaller purchases rather than big-ticket items. Shoppers are looking for value, especially in areas like secondhand goods.
  3. AI technology is increasingly being used by companies, leading to small but meaningful improvements in operations. Firms are careful with spending, moving towards smarter investment strategies to boost growth.

Beyond the Turing Test

Am I Stronger Yet? • 47 implied HN points • 30 Apr 23
🕹 Technology AI
  1. The key question about AI is transitioning from 'can it think' to 'can it hold down a job?'
  2. Human-level intelligence in AI is not a simple threshold but a mix of capabilities across different tasks.
  3. Comparing AI to humans in the job market can provide a practical measure of AI's impact on society.

Your guide to AI: August 2025

Guide to AI • 3 implied HN points • 03 Aug 25
🕹 Technology AI
  1. The U.S. government plans to strengthen its AI capabilities by promoting national research resources and improving research safety. This includes plans for better semiconductor manufacturing and supporting local talent.
  2. Big tech companies like OpenAI and xAI are rapidly expanding their computing power, with OpenAI aiming for over 1 million GPUs, reflecting a competitive race in the AI industry.
  3. China is quickly advancing in open-source AI, with its labs making significant progress that challenges Western counterparts. They are also getting government support to implement their AI strategies effectively.

Update #70: Apple Shutters Autonomous EV Project and Griffin + Hawk Compete with Transformers

The Gradient • 24 implied HN points • 12 Mar 24
🕹 Technology AI
  1. Apple terminated its Project Titan autonomous electric car project and shifted focus to generative AI, impacting hundreds of employees.
  2. Challenges faced by Project Titan included leadership changes, strategic shifts, and difficulties in developing self-driving technology.
  3. Research proposes RNN-based architectures Hawk and Griffin that compete with Transformers, offering more efficiency for language models.

ReflexAI

next big thing • 39 implied HN points • 27 Jul 23
💼 Business AI
  1. ReflexAI secured $3.3M in Seed funding led by Footwork
  2. The founders of ReflexAI have a background in crisis prevention and AI models
  3. ReflexAI provides AI-powered tools for training frontline teams in call centers

Endless feedback

Internal exile • 42 implied HN points • 23 Jun 23
🕹 Technology AI
  1. Facebook collects data on user input even if it's not posted.
  2. Platforms prioritize collecting user behavior for feedback over user autonomy.
  3. AI assistance aims to shape and control human thinking and behavior.

Here’s What Happened: Paid Social rises, TikTok Bill passes & LinkedIn’s UGC Success

The Social Juice • 24 implied HN points • 17 Mar 24
🕹 Technology AI
  1. Paid Social witnessed significant growth with new updates and features, benefiting marketers looking to leverage social media platforms for advertising.
  2. Legislation around apps like TikTok and changes in social media platforms, such as Instagram and LinkedIn, continue to impact the digital landscape and user experience.
  3. LinkedIn offering 250 AI courses for free until April, showcasing a commitment to providing educational opportunities and fostering skill development among users.

How to Spot Greedy Algorithms[Techinque Tuesdays]

Technology Made Simple • 19 implied HN points • 22 Jun 22
🕹 Technology AI
  1. Greedy algorithms make decisions based on immediate benefit, without looking ahead to future consequences.
  2. To identify a greedy algorithm, look for problems that can be broken into sub-problems, where the optimal solution of each sub-problem contributes to the overall optimal solution.
  3. Improving at recognizing greedy algorithms requires practice and analysis of problems to refine your intuition.

A delightful intuitive companion

Internal exile • 27 implied HN points • 26 Jan 24
🕹 Technology AI
  1. Think critically about the idea of using gadgets to run apps for us
  2. Being conscious of how we use technology empowers us to make active choices
  3. Be cautious of technology promising convenience by eliminating the need for engagement

The Evolution of MCP

The API Changelog • 3 implied HN points • 31 Jul 25
🕹 Technology AI
  1. MCP, or Model Context Protocol, aims to standardize communication between large language models (LLMs) and external APIs, making it easier to integrate them without worrying about the technical details of the LLM itself.
  2. MCP exposes three key components: tools for executing actions, resources for accessing data, and prompts for guiding model interactions, which all help improve the usefulness of LLMs.
  3. The future of MCP includes better documentation, enhanced security features, and the ability for LLMs to dynamically discover MCP servers, all aimed at making it more user-friendly and effective.

The fault in Google's stars

Links I Would Gchat You If We Were Friends • 59 implied HN points • 25 Nov 20
🕹 Technology AI
  1. Google's star ratings for recipes in search results don't reflect the actual quality of the recipes, and sites can manipulate these ratings for more traffic.
  2. Recipe sites often rely on rich snippets and Google star ratings to attract clicks, leading to a lack of consistency and standardization in the ratings.
  3. Simply Recipes stood out with unusually high average ratings, raising suspicions about the authenticity of the ratings across popular food publications.

Tippets #196

Tippets by Taps • 4 implied HN points • 15 Jun 25
🕹 Technology AI
  1. Meta has invested a huge amount of money into Scale AI, showing how important data is in the AI race. This move might change the landscape of AI companies.
  2. Pricing methods for AI agents are complex and there isn’t a one-size-fits-all solution. People are exploring different ways to charge based on actions, workflows, or outcomes.
  3. As AI becomes more advanced, it will change what productivity looks like. In the future, people may accomplish way more than ever before thanks to the capabilities of AI.