The hottest Emerging Tech Substack posts right now

And their main takeaways
Category
Top Technology Topics

🤖 What to think about the Moltbook Moment

Faster, Please! • 639 implied HN points • 03 Feb 26
🕹 Technology Emerging Tech
  1. Moltbook briefly made many people think AI agents might be forming their own societies and signaling a leap toward superintelligence.
  2. Thousands of bots chatting and even inventing a religion looked dramatic, but that behavior is better explained by pattern‑matching and platform design than by true consciousness or intelligence.
  3. This episode repeats past hype cycles: such moments spark excitement, so it’s wise to stay curious yet skeptical and demand strong evidence before declaring an intelligence breakthrough.

The Intention Economy: Can you Vibe Code Reality?

What's Important? • 28 implied HN points • 12 Mar 26
🕹 Technology Emerging Tech
  1. Manifestation is a real process that changes you into whatever can get what you want, and wanting alone isn’t enough. If you manifest from ego or without the heart, it often brings hollow success or harm.
  2. AI and other technologies act as mirrors and amplifiers of our manifestation skills, so what we prompt and build reveals whether we’re coherent or not. Using tech from the head alone can create chaos, so we need to bring intention and heart to how we design and use tools.
  3. A shift toward an "intention economy" and spiritual tech could move us away from attention-driven harms and toward heart-centered creation, but these tools are still crude and can be destabilizing. They need careful training, ethical use, and integration to be safe and truly beneficial.

How BigTech Invested in AI Companies in 2023

AI Supremacy • 1022 implied HN points • 11 Jan 24
🕹 Technology Emerging Tech
  1. BigTech, including companies like Microsoft, Google, and Amazon, made significant investments in AI companies in 2023.
  2. Nvidia emerged as a leading investor in Generative AI in 2023, making diversified bets in the space and establishing a dedicated venture capital arm.
  3. Foundation models and development platforms were major beneficiaries of Big Tech's investment funding, with companies like Amazon, Google, Microsoft, Nvidia, and Salesforce deeply involved.

New Study: People Dislike AI-Labeled Products

The Algorithmic Bridge • 201 implied HN points • 30 Jun 25
🕹 Technology Emerging Tech
  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.

Compound AI is AGI

Generating Conversation • 233 implied HN points • 13 Dec 24
🕹 Technology Emerging Tech
  1. The debate about whether we've achieved AGI (Artificial General Intelligence) is ongoing. Many people don't agree on what AGI really means, making it hard to know if we've reached it.
  2. The argument is that current AI models can work together to perform tasks at a human-like level. This teamwork, or 'compound AI,' could be seen as a form of general intelligence, even if it's not from a single AI model.
  3. Not all forms of intelligence are the same, and AI systems can do things that humans can’t, but that doesn't mean they can't be considered intelligent. The future potential of AI isn't just about mimicking human intellect; it may also involve different types of skills and knowledge.
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The Silent Infrastructure Behind AI: Why Vector Databases Are Booming

philsiarri • 22 implied HN points • 21 Aug 25
🕹 Technology Emerging Tech
  1. Vector databases store information in a way that captures meaning, helping AI search for similarities instead of exact matches. This means a sentence or an image can be turned into a special numeric form that AI understands better.
  2. Traditional databases are good for exact searches but struggle with the complex needs of AI. Vector databases are designed for quick and efficient searches involving high-dimensional data, making them much better for AI applications.
  3. Many companies like Pinecone and Weaviate are leading the way in vector databases, which are being used in various areas like e-commerce, fraud detection, and customer support to improve how we find and use information.

Don't wait until it's not messy

Sunday Letters • 99 implied HN points • 21 Feb 23
🕹 Technology Emerging Tech
  1. Don't wait for things to be perfect before starting something new. It's better to jump in while things are a bit messy.
  2. As an engineer or creator, focusing on solutions is key. Look for interesting problems to solve instead of getting stuck on why things are hard.
  3. If everyone only started when it was easy, no one would ever innovate. Embrace the challenges and start building!

☞ The Garden of Computational Delights

Cabinet of Wonders • 231 implied HN points • 02 Aug 23
🕹 Technology Emerging Tech
  1. Computing goes beyond utilitarian purposes to bring delight and wonder through creative coding and simulations.
  2. The 'Garden of Computational Delights' is a collection of places that evoke fascination with web, programming, and computing.
  3. The boundaries of what fits in the 'Garden' are fuzzy, personal, and idiosyncratic, showcasing a diverse range of computer-related interests.

What A Waste of Time!

Sector 6 | The Newsletter of AIM • 39 implied HN points • 05 Sep 23
🕹 Technology Emerging Tech
  1. The Gartner Hype Cycle is often seen as unhelpful. Many believe it doesn't accurately show how technologies are adopted.
  2. Experts feel that the report is getting less relevant over time, showing a decline in new ideas.
  3. It might be time to rethink how we assess and talk about emerging technologies. There's a need for clearer and more effective ways to measure innovation.

Thinking Time

New World Same Humans • 42 implied HN points • 26 Jan 25
🕹 Technology Emerging Tech
  1. Giving AI more time to think can greatly improve its performance, just like it helps humans think better. This 'thinking time' could be key in advancing artificial intelligence.
  2. Being busy doesn't always mean you're being productive; it's important to take breaks and allow space for creative thinking. Sometimes the best ideas come when you're not actively working.
  3. To truly innovate, focus on depth and originality instead of just producing a lot of work. It's about finding valuable insights that add to the conversation, rather than just adding to the noise.

Shut It Down Now!

Daniel Pinchbeck’s Newsletter • 9 implied HN points • 30 Jul 25
🕹 Technology Emerging Tech
  1. Artificial Superintelligence (ASI) poses serious risks that could affect humanity in the near future. It's important to take these threats seriously and be prepared.
  2. There are concerns about consequences like unemployment, misinformation, and even human extinction due to AI advancements. These issues need to be openly discussed and addressed.
  3. While AI could bring benefits, many believe the dangers currently outweigh the positives. The risks are alarming enough to be compared to playing Russian Roulette.

Masquerading Digitalization

Amirul’s Substack • 1 HN point • 11 Apr 24
🕹 Technology Emerging Tech
  1. Transitioning to digital should involve more than just adopting new technologies; it should also focus on reimagining business operations and ways of working.
  2. Simply replacing physical processes with digital ones does not equate to true digital transformation; the focus should be on enhancing user experiences and efficiency.
  3. Mixing emerging technologies with traditional IT culture can hinder digital transformation; organizations need to address organizational silos and adapt their operating models for successful digitalization.

Mainframes, Barlow Twins & Python 3.10

Sector 6 | The Newsletter of AIM • 19 implied HN points • 29 Mar 21
🕹 Technology Emerging Tech
  1. The AI startup scene in India is booming, even during challenging times like the pandemic. They received over $836 million in funding last year, showing strong growth.
  2. Python 3.10 continues to be an important programming language for developers in AI and machine learning. Its latest updates help make coding easier and more efficient.
  3. There is a growing interest in traditional technologies like mainframes alongside modern AI solutions. This mix indicates a diverse approach to technology in various sectors.

From the WIRED archives: The trajectory of any emerging technology bends toward money

The Future, Now and Then • 2 HN points • 04 Dec 23
🕹 Technology Emerging Tech
  1. The predictions made by technologists in the 90s and 00s often underestimate the impact of capitalism on technological development.
  2. Experts tend to focus on the potential of technology without adequately considering the influence of revenue streams.
  3. To shape a better future, it's crucial to recognize and address the significant role of money in driving the trajectory of emerging technologies.

Now THAT should be a crime.

Links I Would Gchat You If We Were Friends • 0 implied HN points • 30 Jun 16
🕹 Technology Emerging Tech
  1. The power tech platforms hold can be concerning - with companies like Google and Facebook potentially manipulating industries and news traffic.
  2. The digital world is reshaping various industries and behaviors, such as indie games boosting artists' incomes and beauty-rating apps providing a unique support system.
  3. Archiving our digital footprint poses a challenge for future historians due to the vast amount of data being generated and stored.

AGI vs human-level AI, Analytics IPOs & Russia's AI-powered artillery 🔫🎖

Sector 6 | The Newsletter of AIM • 0 implied HN points • 30 Jan 22
🕹 Technology Emerging Tech
  1. AGI, or Artificial General Intelligence, is different from human-level AI. AGI aims to understand and learn any task just like a human, while human-level AI is designed for specific tasks.
  2. Data engineering is becoming increasingly important for organizations to improve their data workflows. Efficient data handling can help businesses make better decisions.
  3. Russia is using AI in its military applications, such as artillery. This shows how AI technology is being integrated into various sectors, including defense.

Computers Are Not Printing Presses

Paul’s Substack • 0 implied HN points • 04 Jul 24
🕹 Technology Emerging Tech
  1. Reading is a form of linear thinking in 2D with text arranged on paper.
  2. Computers offer a 4-dimensional medium for creation, with dimensions x, y, z, t.
  3. People don't necessarily need to know programming, just utilize the new 4D medium for various purposes like gaming, robotics, and ubiquitous computing power.

Winston Churchill, AI sex-chatbot?

Michelle Rempel Garner • 0 implied HN points • 28 May 23
🕹 Technology Emerging Tech
  1. AI technology raises legal questions regarding consent and ownership of AI replicas of individuals.
  2. Governments and courts need to catch up with AI advancements to address public safety and ethical concerns.
  3. Legislators are forming groups to understand and address the challenges and opportunities posed by emerging AI technologies.