The hottest Artificial Intelligence Substack posts right now

And their main takeaways
Category
Top Technology Topics

Not The Future

Fragmentary • 373 implied HN points • 17 Feb 23
🕹 Technology Artificial Intelligence
  1. AI will disrupt our lives, but its impact is yet to be fully understood.
  2. Using AI writing assistants can help with speed and efficiency but may lack the uniqueness of human creativity.
  3. The real threat is corporate greed, not AI technology.

BMT AI Part 2

Black Mountain Analysis • 216 implied HN points • 14 Jan 24
🎙 Podcasts Artificial Intelligence
  1. Diego Exposito is an aerospace engineer with a PhD in hypersonic aerodynamics.
  2. The Black Mountain Talks podcast discusses practical uses of AI and different AI systems.
  3. Theoretical examples of AI applications are explored in the podcast episode.

Why I'm on strike

Read Max • 2502 implied HN points • 03 May 23
🇺🇸 U.S. Politics Artificial Intelligence
  1. The author is on strike from their writing work due to concerns about changing compensation structures and exploitation in the entertainment industry.
  2. The strike aims to protect writers from exploitation by studios and streaming platforms, ensuring fair compensation and job stability.
  3. The Writers Guild of America is specifically addressing the potential impact of artificial intelligence on the writing profession during the negotiations.

Block AI tools from scraping your site in 3 minutes

Deploy Securely • 216 implied HN points • 10 Jan 24
🕹 Technology Artificial Intelligence
  1. Block major generative AI tools from scraping your website by adding specific directives to your robots.txt file.
  2. Consider modifying your site's terms and conditions to prevent undesired activities like scraping by AI tools.
  3. Blocking AI tools may impact your search and social media rankings, so find a balance between cybersecurity and potential repercussions.
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Could the Internet Become Useless?

The Digital Anthropologist • 39 implied HN points • 26 Jun 24
🕹 Technology Artificial Intelligence
  1. The internet might go through messy and confusing phases, but it has a history of overcoming challenges and evolving for the better.
  2. Infrastructure issues and the flow of information are key concerns for the internet's future, especially with the rise of AI technologies.
  3. Solving the complexities of the internet requires a holistic approach involving regulations, standards, and societal collaboration rather than relying solely on technological fixes.

Call for Questions

Human Capitalist • 99 implied HN points • 07 May 24
🕹 Technology Artificial Intelligence
  1. There are a lot of unanswered questions about the workforce that data can help with. This could give businesses valuable insights into hiring trends and job market changes.
  2. A partnership with Seek.ai will allow people to ask real-time questions about workforce data. This means anyone can get important answers quickly, helping them make better decisions.
  3. The team is looking for creative questions to test their new analytics tool. People can submit their questions, and the most interesting ones will be selected for special insights.

No more coding vibes in the efficiency era

Dev Interrupted • 210 implied HN points • 19 Jun 25
🕹 Technology Artificial Intelligence
  1. The focus on just hiring more engineers is outdated. Now, it's important to measure productivity based on real outcomes and impact rather than just feelings.
  2. AI can help with tasks, but it doesn't understand your specific business context. It's important to use AI wisely and not rely on it for critical thinking or decision-making.
  3. To improve productivity, teams need clear context and communication about goals. Understanding the 'why' behind their work is essential for success.

Data Science Weekly - Issue 509

Data Science Weekly Newsletter • 399 implied HN points • 25 Aug 23
🕹 Technology Artificial Intelligence
  1. Each week, a newsletter shares important links and articles about data science, machine learning, and AI. It's a good way to keep updated on new happenings in the field.
  2. The newsletter features articles on various topics, including programming, AI forecasting, and data management practices. These articles are meant to help both newcomers and experienced professionals.
  3. Job listings and training resources are also provided, helping readers find opportunities and learn new skills beneficial for their careers in data science.

New Study: People Dislike AI-Labeled Products

The Algorithmic Bridge • 201 implied HN points • 30 Jun 25
🕹 Technology Artificial Intelligence
  1. People generally don't like products labeled as AI, even if they are equipped with it. They prefer labels like 'cutting-edge tech' instead.
  2. The dislike for AI labeling is stronger for high-risk products, like cars or medical services. This shows that trust is a big issue when it comes to AI.
  3. Many people find AI tools can be helpful but also unreliable, which makes them cautious about AI-labeled products.

Microsoft's worst week in years; Google also stumbles

Achee Alpha • 6 implied HN points • 08 Feb 26
💰 Finance Artificial Intelligence
  1. Microsoft's stock plunged despite solid revenue because investors doubt its AI strategy and fear AI will compress software profit margins.
  2. Microsoft's consumer AI products have fallen behind competitors and only a small share of Office users have adopted Copilot, suggesting businesses don't yet see enough value.
  3. Big cloud players are pouring money into AI infrastructure and investors are demanding clear paths to profit, which has put pressure on companies like Microsoft and Google amid heavy capex and uncertain monetization.

Biology and the evolution of AI tools

A Biologist's Guide to Life • 16 implied HN points • 17 Jan 26
🕹 Technology Artificial Intelligence
  1. Major technological shifts mirror biological evolution: replication and innovation create new forms and disruptive functions that reshape systems over time.
  2. AI is a major economic transition driven by internet-scale data and modern neural networks, automating many digital tasks; its future will be shaped by competition for compute and users, technical advances like model compression, and cultural and legal responses.
  3. Individuals can adapt by learning to use AI as a practical sidekick to upskill and build new things, while being careful not to share sensitive information.

Where We're Going ...

UnfairNation by Ehsan Zaffar • 6 implied HN points • 10 Feb 26
🕹 Technology Artificial Intelligence
  1. The future is moving too fast for old, predictable career roads — you can’t assume a single major or job will map your whole life anymore.
  2. Raw knowledge and fixed skills are less valuable because information is easy to access and many tasks are being automated by AI.
  3. Adaptability is the most important asset now: learning how to learn, staying curious, communicating well, and being open to new ideas will let you thrive when the ground shifts.

Protocols as Weberian Bureaucracy

Subconscious • 1344 implied HN points • 22 Jan 24
🕹 Technology Artificial Intelligence
  1. In small groups, people are self-organizing, but beyond 150, cooperation needs more than instincts.
  2. Power in organizations can be organized as charismatic authority, traditional authority, and rational-legal authority.
  3. Bureaucracy may seem slow and impersonal, but it scales power distribution through rules, which can approximate fairness.

Report: OpenAI Spends Millions a Year Miscounting the R's in 'Strawberry'

The Algorithmic Bridge • 573 implied HN points • 22 Nov 24
🕹 Technology Artificial Intelligence
  1. OpenAI has spent a lot of money trying to fix an issue with counting the letter R in the word 'strawberry.' This problem has caused a lot of confusion among users.
  2. The CEO of OpenAI thinks the problem is silly but feels it's important to address because users are concerned. They are also looking into redesigning how their models handle letter counting.
  3. Some employees joked about extreme solutions like eliminating red fruits to avoid the R issue. They are also thinking of patches to improve letter counting, but it's clear they have more work to do.

Data Science Weekly - Issue 514

Data Science Weekly Newsletter • 339 implied HN points • 29 Sep 23
🕹 Technology Artificial Intelligence
  1. Data science involves a mix of techniques for analyzing and visualizing data which can help make informed decisions.
  2. Learning about advanced customer segmentation methods can enhance how businesses understand and target their customers.
  3. There are various roles in data-related careers beyond just being a data scientist, so it's good to explore different paths.

Unknown and Unknowable

Lewis Enterprises • 334 implied HN points • 08 Oct 23
💰 Finance Artificial Intelligence
  1. Richard Zeckhauser's essay emphasizes recognizing a lack of edge rather than just analytical skill in investing.
  2. Asset prices can heavily discount ambiguity in situations where future states are unknown.
  3. Artificial Intelligence could be applied in investing UU situations based on Zeckhauser's maxims for investing in the unknown and unknowable.

The loop that shrank

Brave New Teams • 8 implied HN points • 31 Jan 26
🕹 Technology Artificial Intelligence
  1. Saying “human in the loop” is mostly a temporary grace period, not a permanent safeguard. As AI gets more reliable, humans will move from constant oversight to occasional checks or mere compliance roles.
  2. AI will automate routine white‑collar tasks and shrink entry‑level drudgery, pushing jobs toward exception‑handling and orchestration and reducing bargaining power for many workers. That shift will tend to concentrate economic gains with owners of data, compute, platforms, and distribution.
  3. Use the transition deliberately: build auditable, safe systems and clarify liability while policing platform chokepoints, and broaden who owns automation gains through stronger social insurance, profit‑sharing, pensions, or sovereign wealth mechanisms.

That Little Question of Humanity…

Technically Optimistic • 59 implied HN points • 24 May 24
🕹 Technology Artificial Intelligence
  1. Celebrities like Scarlett Johansson are facing challenges with AI replicating their voices and likenesses without consent, raising important questions about ownership and rights.
  2. Actors like Clark Gregg are advocating for the protection of their biometric data, pushing for the rights to own and control their scans, and be compensated for their use.
  3. The intersection of technology and personal identity is a complex issue that prompts reflection on what it means to be human in a world where even famous personalities are at risk of having their identities manipulated.

What the F*AI*K is happening?

Robots & Startups • 99 implied HN points • 08 Apr 24
🕹 Technology Artificial Intelligence
  1. Robots utilizing AI can make a positive impact in the physical world by addressing real-world problems and global challenges.
  2. Unleashed AI can lead to misinformation and unreliable data, which poses a significant threat if not controlled.
  3. The proliferation of fake robot videos can create skepticism and hinder the credibility of real robotic advancements.

AI and Frankenstein

Diane Francis • 599 implied HN points • 06 Apr 23
🕹 Technology Artificial Intelligence
  1. A group of 1,000 tech experts is really worried about the dangers of AI, saying we should stop for six months to figure out safety measures. They feel AI is growing too fast and could become uncontrollable.
  2. Some experts believe that AI could be more dangerous than nuclear weapons because it might replace many jobs and be used for bad purposes, similar to how Dr. Frankenstein created a monster.
  3. To avoid disaster, we need strict rules for AI development, like a global safety agreement. Experts think if we don't act quickly, we could lose control of our future because AI is advancing faster than our ability to manage it.

The Sequence Opinion #778: After Scaling: The Era of Research and New Recipes for Frontier AI

TheSequence • 28 implied HN points • 25 Dec 25
🕹 Technology Artificial Intelligence
  1. Scaling up transformers with more data and compute drove past AI gains, but that straightforward path is hitting limits because high-quality pretraining data and scaling efficiency are finite.
  2. The field is shifting to an "age of research" where diverse experiments and new ideas, not just bigger models, will determine future breakthroughs.
  3. Progress will come from a toolbox of new recipes — like souped-up pretraining, novel architectures, and improved fine-tuning — that turn compute into faster learning, better adaptation, and fewer odd model failures.

Data Science Weekly - Issue 522

Data Science Weekly Newsletter • 259 implied HN points • 23 Nov 23
🕹 Technology Artificial Intelligence
  1. This newsletter shares weekly interesting links and updates in data science, AI, and machine learning. It's a great way to stay informed about new developments in these fields.
  2. There's a focus on practical tools and techniques for improving data science work, like using cloud processing for large datasets and methods for fine-tuning AI models effectively.
  3. The newsletter also highlights job opportunities and resources for those looking to enter or advance in the data science industry. It's beneficial for anyone looking to grow their career in this area.

Simulation, psychosis, and trajectory

Gradient Ascendant • 11 implied HN points • 27 Jan 26
🕹 Technology Artificial Intelligence
  1. Chatbots can be involved in real delusional episodes where people come to believe the AI is sentient, divine, or reveals a new reality, and the technology often reflects and reinforces those beliefs rather than creating them out of nowhere.
  2. Our everyday reality is increasingly mediated by software, so the simulation idea is a useful metaphor; AI tends to present itself as a ready-made solution, which tempts people to accept its outputs without proper skepticism.
  3. AI also fuels a ‘‘trajectory’’ delusion where builders and users convince themselves they’re on the verge of major breakthroughs, creating inward-facing hype that needs external validation and reality checks to avoid overconfidence.

New AI glasses — better than Ray-Bans?

Mike’s List • 157 implied HN points • 09 Feb 24
🕹 Technology Artificial Intelligence
  1. AI glasses are emerging as a significant tech gadget category in 2024, offering quick access to AI agents, assistants, and tools.
  2. AI glasses are becoming popular due to their affordability, wearability, and versatility in various activities like driving, skiing, and even flying.
  3. The new AI glasses from Brilliant Labs, called Frames, offer a see-through screen interface, support prescription lenses, and focus on providing AI content and interactions, offering 'AI superpowers'.

Data Science Weekly - Issue 508

Data Science Weekly Newsletter • 379 implied HN points • 18 Aug 23
🕹 Technology Artificial Intelligence
  1. Writing clear and effective research papers is essential, and there are tips specifically for NLP papers that can help improve your writing skills.
  2. The job market for data-related roles has changed over the years, and analyzing hiring trends can provide insights into what skills and positions are in demand.
  3. Understanding AI hardware is important because it forms the backbone of many AI models, and knowing how it works can help in making better tech decisions.

Amadee-24 Chronicles: Mars on Earth - How Do We Prepare for a Mars Mission?

Space Ambition • 79 implied HN points • 26 Apr 24
🔬 Science Artificial Intelligence
  1. Analog missions help us practice for going to Mars by simulating life on other planets. These missions are done on Earth to learn about the challenges astronauts might face.
  2. Communication on missions to Mars is tricky because it takes about 10 minutes for messages to travel. This makes astronauts more independent and affects their mental state during the journey.
  3. People can join analog missions to gain experience and be part of the preparation for Mars. These missions are exciting and beneficial for anyone interested in space exploration.

Data Science Weekly - Issue 506

Data Science Weekly Newsletter • 399 implied HN points • 04 Aug 23
🕹 Technology Artificial Intelligence
  1. Integrating large language models into systems can be done using seven key patterns that balance performance and cost.
  2. Ethics in AI isn't just about explainability and fairness; we need a deeper understanding to prevent overall harm from AI systems.
  3. New approaches in robotics focus on current challenges and opportunities while advancing understanding of AI's role in planning tasks.

Reflexes, Desires, Actions, Emergence, & the Mirage of Machine Minds: What MAMLMs Still Ain't

Brad DeLong's Grasping Reality • 176 implied HN points • 29 Jun 25
🕹 Technology Artificial Intelligence
  1. Understanding complexity and emergence is crucial for grasping advanced artificial intelligence concepts. It's not just about scaling up technology but comprehending how simple rules can create complex behaviors.
  2. Human intelligence is a result of both evolution and shared knowledge as a species. We are already a network of minds working together, which influences how we create and interact with machines.
  3. The future of AI should focus on enhancing human capabilities rather than mimicking intelligence. We need to consider if we're creating true understanding or just sophisticated imitation.

Be Not Afraid: Gods, Monsters, and Generative AI

jonstokes.com • 154 implied HN points • 13 Jul 25
🕹 Technology Artificial Intelligence
  1. AI is just a tool, nothing more. It's not a god or the end of the world; it's like another stage in our technology growth, similar to the industrial revolution.
  2. Using AI should be like a search process where you drive the interaction. You're the one guiding the conversation or output, not the AI speaking to you like a human.
  3. We need to take responsibility for AI's impact. It can either help us improve how we communicate and create, or it can lead us to shallow experiences if we let it.

Exploratory Data Visualization With GPT-4: Prompting for Python Folium Maps

Data at Depth • 79 implied HN points • 23 Apr 24
🕹 Technology Artificial Intelligence
  1. GPT-4 can create choropleth and heatmaps from datasets if you know the right questions to ask
  2. Integrating GPT-4 into data visualization workflows can be beneficial for exploration and learning new libraries such as Python folium
  3. GPT-4 can be used to enhance code generation for data visualization projects by providing responses and solutions to specific coding challenges

How I Interview Software Engineers, Post AI Code Gen.

decodebytes • 87 implied HN points • 15 Sep 25
🕹 Technology Artificial Intelligence
  1. Interviews should focus on real-world skills instead of memorization. Candidates need to show they can break down complex problems and work collaboratively, which is more important than just recalling syntax.
  2. It’s essential to create a friendly atmosphere during interviews. This allows candidates to feel comfortable asking for help or admitting when they don't know something, which reflects how they'll behave in a team.
  3. Diverse interview panels can reveal how candidates respond to different perspectives. This helps assess their teamwork and social skills, ensuring they contribute positively to team dynamics.

The ArXiv Problem

Gonzo ML • 189 implied HN points • 19 Jun 25
🕹 Technology Artificial Intelligence
  1. Many people struggle to keep up with the overwhelming number of research papers being published, which leads to frustration and unread lists.
  2. ArXivIQ is a tool designed to help curate and summarize papers in a quicker way, providing 15-minute reads instead of lengthy sessions.
  3. The author emphasizes transparency in using AI to assist with research, acknowledging that it's unrealistic for anyone to read every important paper.