The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

The DeepSeek drama, visually explained 🐳

Year 2049 • 22 implied HN points • 28 Jan 25
🕹 Technology AI
  1. The actual cost to train DeepSeek R1 is unknown, but it’s likely higher than the reported $5.6 million for its base model, DeepSeek V3.
  2. DeepSeek used a different training method called Reinforcement Learning, which lets the model improve itself based on rewards, unlike OpenAI's supervised learning approach.
  3. DeepSeek R1 is open-source and much cheaper to use for developers and businesses, challenging the idea that expensive hardware is necessary for AI model training.

51% of Engineering Leaders Report Negative Impact From AI

HackerPulse Dispatch • 10 implied HN points • 24 Jun 25
🕹 Technology AI
  1. Many engineering leaders feel stressed about AI because of unrealistic expectations and fears created by hype. This has led to lower team morale and trust issues.
  2. Great software architects are those who can bridge business needs and technical work, using their influence instead of authority to create systems that both developers and stakeholders value.
  3. Understanding that coding is a journey of learning is important. Mistakes are part of the process, and simplifying problems can often lead to better solutions.

A guide to Chaos Engineering [Technique Tuesdays]

Technology Made Simple • 39 implied HN points • 30 Aug 22
🕹 Technology AI
  1. Chaos Engineering involves testing a system by simulating real-world failures to build confidence in its resilience.
  2. Implementing Chaos Engineering helps in foreseeing and addressing problems before deployment, improving overall product reliability.
  3. To implement Chaos Engineering, build a hypothesis of normal system behavior, simulate failures, and automate experiments to run continuously.
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Op-Ed: Is the Stargate AI project bold vision or grand illusion?

philsiarri • 22 implied HN points • 22 Jan 25
🕹 Technology AI
  1. The Stargate AI project has a huge amount of funding, starting at $100 billion and possibly growing to $500 billion. This shows a strong interest in AI technology.
  2. There are a lot of big promises being made about this project, but some people are worried that it might be overhyped and not deliver on its potential.
  3. The project's success will depend on managing many challenges, like building the right infrastructure, getting through regulations, and making sure it benefits everyone.

5 things to know about Nuance DAX Express

The PhilaVerse • 123 implied HN points • 21 Mar 23
🕹 Technology AI
  1. Nuance DAX Express uses GPT-4 and other AI technologies for generating clinical notes.
  2. The goal of Nuance DAX Express is to reduce administrative tasks for professionals and allow more time for patient interaction.
  3. Nuance DAX Express is HIPAA-compliant and will be available to over 550,000 product subscribers.

It’s Time to Take a Chill Pill

Sector 6 | The Newsletter of AIM • 19 implied HN points • 06 Jul 23
🕹 Technology AI
  1. There's new AI that can help programmers with prompt engineering, making it even easier to create and test ideas. It's like having a helper that gives you the best shortcuts!
  2. A notable figure in AI predicts that in five years, there may be no need for programmers at all. This could change how we think about jobs in tech.
  3. The use of AI is transforming industries, making tasks simpler and potentially reducing the demand for traditional programming roles. This means we might have to adapt to a new work environment.

Confidential AI: The Dog That Didn't Bark In The Night

State of the Future • 29 implied HN points • 05 Nov 24
🕹 Technology AI
  1. We need to prioritize data privacy as AI gets more personal. New technologies could help us protect our information while still allowing AI to learn.
  2. Building fair and unbiased AI models is crucial, as biased models can worsen social inequalities. We have tools to help create better AI that considers everyone fairly.
  3. There's a big opportunity to use decentralized systems for AI training and inference. This could make AI more accessible and less dependent on a few large companies.

AI Roundup 093: Diminishing returns

Artificial Ignorance • 29 implied HN points • 15 Nov 24
🕹 Technology AI
  1. Big AI companies are realizing that just making their models bigger doesn't always improve their performance. They're facing challenges because the quality of training data is more important than simply using more computing power.
  2. AI companies need to create new ways to measure performance since the old benchmarks are outdated. This lack of standard testing makes it hard for people to compare how different AI models stack up against each other.
  3. AI-generated art is becoming more popular and accepted in the market. A recent artwork sold for a lot of money, showing that people are starting to appreciate creations made by AI, even though it raises questions about what creativity really means.

Analyzing Fastest Growing Companies Across Y Combinator's 2024 RFS - Ep 1

Golden Pineapple • 63 implied HN points • 22 Feb 24
🕹 Technology AI
  1. Y Combinator invests in over 4,000 companies, targeting sectors that promise great returns and societal benefits.
  2. Top growing companies across sectors like Climate Tech, Space Tech, Enterprise AI, Cancer Cure, and Devtools show impressive year-over-year growth rates.
  3. Crustdata provides data on fast-growing private companies for investors and sales leaders, offering insights into various industry sectors.

None Can Use AI Like Game Developers

Sector 6 | The Newsletter of AIM • 19 implied HN points • 03 Jul 23
🕹 Technology AI
  1. Game developers are pushing the limits of generative AI in unique ways. They're using AI to create more engaging and interactive experiences in games.
  2. InWorld AI is making non-playable characters smarter by allowing them to think and communicate like real players. This makes games feel more alive and immersive.
  3. NVIDIA's Avatar Cloud Engine helps developers build custom AI characters with unique speech and animations. This technology is changing how players interact with games.

⛷️Slalom: Designing a runtime for AI-generated code

Slalom dev blog • 8 HN points • 10 Feb 24
🕹 Technology AI
  1. The development of a custom runtime is crucial for safely running AI-generated code, focusing on simplicity and user control.
  2. Key features like pausing processes, green threads with backtracking, syntactic continuations, and fair resource management are essential for efficient operation.
  3. Building a reliable runtime for AI-generated code involves creating APIs that prevent potential user errors, allowing for undoable actions and permission-seeking processes.

A Crisis of Trust

Random Minds by Katherine Brodsky • 79 implied HN points • 06 Nov 23
🎭️ Culture AI
  1. Trust is becoming scarce in our rapidly evolving world, leading to a crisis that affects both our personal lives and society.
  2. The digital age and the advancements in artificial intelligence make it challenging to discern truth from misinformation, posing a threat in how we perceive reality.
  3. In navigating the landscape of distrust, critical thinking is crucial, and seeking out diverse perspectives and reliable sources can help us identify trustworthy sources in a climate of uncertainty.

GPT-4 Was the Biggest Disappointment Ever

Sector 6 | The Newsletter of AIM • 19 implied HN points • 30 Jun 23
🕹 Technology AI
  1. GPT-4 is seen as disappointing compared to expectations. People hoped for more detailed information, but it was not provided.
  2. OpenAI's decision to keep model specifics secret may have led to letdowns. Transparency could have changed many opinions about its performance.
  3. The head of OpenAI hinted that users should prepare for disappointment, which matched how many felt after experiencing GPT-4.

AI in 2031

Robots & Startups • 19 implied HN points • 26 May 23
🕹 Technology AI
  1. AI in 2031 may widen income and opportunity disparities in the USA by prioritizing profit over equity.
  2. Disparities in internet access and technology can create unequal opportunities for individuals in different parts of the USA.
  3. Considerations like access to technology and resources will be critical in shaping future opportunities and outcomes.

AI Roundup 092: Watermarking the AI wave

Artificial Ignorance • 29 implied HN points • 08 Nov 24
🕹 Technology AI
  1. Google DeepMind created a system called SynthID-Text to watermark AI-generated text, but it's not foolproof and can be easily bypassed.
  2. Major AI companies are partnering with US defense agencies, showing a shift towards military applications in AI, despite earlier hesitations in Silicon Valley.
  3. Amazon's Alexa platform has had mixed success over ten years, mainly being used for basic tasks, but new AI advancements could improve its functionality.

Will people be motivated to learn difficult disciplines and skills without economic incentive?

Engineering Ideas • 39 implied HN points • 20 Mar 23
🕹 Technology AI
  1. People are motivated to learn difficult skills for competition, economic gain, intrinsic interest, or altruism.
  2. With automation, economic motivation for learning may decline, leading to a shift in human activities towards physical games, cognitive games, manual labor, spirituality, art appreciation, or passive consumption.
  3. The future of widespread intrinsic motivation for learning is seen as unlikely, requiring a supportive environment and upbringing.

Developers of ‘Stuff and Things’

Sector 6 | The Newsletter of AIM • 19 implied HN points • 28 Jun 23
🕹 Technology AI
  1. Microsoft is making it easier for anyone to develop apps with tools like Microsoft 365 Copilot. Now, even people without much coding experience can try their hand at building applications.
  2. The introduction of ChatGPT has changed how developers work, allowing them to do both backend and frontend tasks. This means developers can now create all parts of a website or app without needing specialized training for each role.
  3. Although it's said that everyone can be a developer now, there isn’t much data to prove this. However, the possibilities that tools like GPT-4 offer to developers are significant and worth exploring.

11 steps to keep Meta from stealing your data to train AI

Ladyparts • 2 HN points • 18 Jun 24
🕹 Technology AI
  1. You only have until June 26, 2024 to opt out of Meta using your data for AI training - act before the deadline.
  2. The process to opt out of Meta's data use can be confusing and intentionally complicated - it's important to follow the steps carefully.
  3. The steps provided include logging into Facebook on a laptop, navigating through privacy settings, and being persistent in filling out the opt-out form.

Error 404: Google Search Not Found

Sector 6 | The Newsletter of AIM • 19 implied HN points • 26 Jun 23
🕹 Technology AI
  1. Search engines are changing a lot, and soon we might just chat with AI instead of typing our questions. They might still show some links, but the focus will be on conversation.
  2. Google had the goal of using AI in their search from the very beginning. Even in 2002, they tried a service where humans would answer questions, but they quickly realized they needed AI to handle all the inquiries.
  3. Larry Page, one of Google's founders, said that they would know their mission was complete once their search engine was fully powered by AI. They see the future of search as relying on artificial intelligence.

Introducing Media Copilot

Startup Strategies • 71 implied HN points • 07 Dec 23
🕹 Technology AI
  1. Pete Pachal started a successful Substack called The Media Copilot focusing on AI in media, journalism, and news.
  2. The Substack aims to delve into how AI is influencing the media landscape.
  3. Readers can access the full post archives with a 7-day free trial.

AI Summary Helper — Summarize Web Articles — in Your Language, Style and Philosophical Angle

Phil’s Substack • 1 HN point • 24 Jul 24
🕹 Technology AI
  1. There's a new tool called AI Summary Helper that helps you summarize articles in a way that's personal to you. You can adjust it to match your style or interests.
  2. The summaries can be easily shared, even sent to your Kindle for reading later. This makes it convenient to remember why you wanted to read the article.
  3. You can use it as a bookmarklet or a Chrome browser extension, giving you quick access and the ability to ask specific questions about each article.

You like AI agents? You're gonna love it when they're on the blockchains

State of the Future • 19 implied HN points • 05 Feb 25
🕹 Technology AI
  1. AGI might not be a single powerful entity, but a network of interacting agents that work together, running on local devices instead of big data centers.
  2. Keeping workflow privacy is really important. It's not just about protecting data, but also about keeping the ways agents solve problems secret to maintain competitive advantage.
  3. Blockchain can help agents make many small payments to each other easily, something traditional banking systems aren't designed for. This opens up new economic possibilities for AI agents.

AI peer review, microbial defence & clot busting strategies

The Strategy Toolkit • 8 implied HN points • 08 Jul 25
🔬 Science AI
  1. New communication tools often get manipulated by people to send hidden messages. This has happened with many forms of media over time.
  2. Recent findings show that some researchers used hidden prompts in their academic papers to get positive AI reviews. These prompts were hidden in ways that people couldn't easily see.
  3. This kind of trickery shows how any automated process can be tricked, and it's important to be aware of such practices in scientific research.

Seven reasons why the world should say No to Sam Altman

Marcus on AI • 61 HN points • 10 Feb 24
🕹 Technology AI
  1. Investing $7 trillion in AI infrastructure would have significant energy and climate implications, possibly leading to heavy environmental costs.
  2. $7 trillion for AI exceeds the economic resources allocated to critical areas like education or ending world hunger, highlighting potential opportunity costs.
  3. Such a massive financial risk of a $7 trillion project could have severe consequences on the world economy, similar to the impact of the 2007-2008 financial crisis.

🔥 48 hours left: Get 40% off Art of TPM

Building Rome(s) • 1 implied HN point • 29 Dec 25
🕹 Technology AI
  1. There’s a 48-hour limited-time 40% discount on the annual subscription, lowering the price from $80 to $48.
  2. The offering focuses on helping TPMs build judgment, leverage, and clarity to stay relevant as GenAI and new tools reshape the role.
  3. Paid members get practical, real-world resources—like an interview guide, an AI tools guide, and long-form lessons—plus a quiet community of thoughtful TPMs to learn from.

Lang-O-Unchained

Sector 6 | The Newsletter of AIM • 19 implied HN points • 21 Jun 23
🕹 Technology AI
  1. OpenAI has integrated a new feature called function calling into its models, which makes conversations more dynamic and interactive. This upgrade shows how AI is constantly improving.
  2. The integration of this feature has caused some debate about whether OpenAI is borrowing too much from the open-source community, particularly from a project called LangChain.
  3. Experts believe LangChain will still thrive despite OpenAI's updates, as it offers unique functionalities that may not be replicated in the OpenAI API.

Embrace the Centaur

Startup Strategies • 85 implied HN points • 30 Aug 23
🕹 Technology AI
  1. The author discusses the Centaur model for AI collaboration in the context of writing.
  2. The author invites readers to join a course on ChatGPT Journalism at NYU.
  3. Readers can access more content by subscribing to Startup Strategies and get a 7-day free trial.

Artificial General Imaginaries

Cybernetic Forests • 59 implied HN points • 21 Mar 22
🕹 Technology AI
  1. Be skeptical when dreams are designed for you by others, especially in discussions about Artificial General Intelligence (AGI)
  2. Conversations about AGI can derail problem-solving discussions, shifting the focus to hypotheticals rather than concrete actions
  3. AGI discussions can serve as thought-terminating clich\u00e9s, distracting from the real issues and work that need to be addressed

The Sequence Chat #475: Ed Sim, Forbes Top Tech Investor, on AI Investing, Security, Agents and More

TheSequence • 21 implied HN points • 23 Jan 25
🕹 Technology AI
  1. Investing early in AI involves backing technical founders before they even start their company. It's about helping them develop their ideas and getting them the right support as they launch.
  2. Building a startup in the AI space should always begin with creating a great product, no matter how much money you have. It's important to focus on getting user feedback and refining your offering rather than spending excessively.
  3. AI security is becoming crucial as tech evolves. Companies need to be proactive in protecting against AI-driven cyber threats, and there are opportunities for startups to innovate in this space by securing AI implementations in various industries.

Explore the Global Generative AI Landscape 2024 by AIport

TheSequence • 56 implied HN points • 18 Mar 24
🕹 Technology AI
  1. The Global Generative AI Landscape 2024 report by AIport offers insights into 107 international companies developing 128 generative models, expanding beyond typical American and European focus.
  2. The study covers six continents and more countries than previous similar projects, providing a comprehensive analysis of the global GenAI landscape.
  3. The report is reader-friendly and showcases how international companies are driving GenAI development, highlighting the widespread impact across various regions.

One AI for Navigating Any 3D Environment

TheSequence • 56 implied HN points • 17 Mar 24
🕹 Technology AI
  1. Google DeepMind created a new model, SIMA, that can navigate any 3D environment by following language instructions.
  2. SIMA can translate abstract instructions into mouse and keyboard actions for navigating different 3D worlds.
  3. This AI breakthrough has implications for embodied AI environments, simulations, and other areas requiring physical tasks.

Putting Large Language Models in Context

Systems Approach • 117 implied HN points • 06 Mar 23
🕹 Technology AI
  1. Large Language Models like ChatGPT have notable failures and lack understanding of the words they produce.
  2. Modern machine learning systems heavily rely on training data and may struggle with unfamiliar scenarios.
  3. Performance of machine learning systems requires careful analysis and hard work by researchers or engineers.