The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Amazon spends $2.75 billion on AI startup Anthropic💸, The Founders Guide to Optimizing Your Fundraise📘, The Pulse of SaaS☁️ & more!

The VC Corner • 459 implied HN points • 31 Mar 24
💼 Business AI
  1. Amazon spent $2.75 billion to buy an AI startup called Anthropic. This shows how serious they are about investing in artificial intelligence.
  2. There is a guide available for founders on how to optimize their fundraising efforts. It can help entrepreneurs improve their chances of getting financial support.
  3. The newsletter covers trends and insights in the Software as a Service (SaaS) industry. It keeps readers updated on important developments in tech businesses.

What I read this week...

chamathreads • 1434 implied HN points • 19 May 23
💼 Business AI
  1. Wall Street is becoming more interested in AI.
  2. FTC is expanding investigations on drug middlemen and antitrust cases.
  3. There is a discussion on chatbot dating and its implications.

My review of THE COMING WAVE

Ground Truths • 7567 implied HN points • 09 Sep 23
🕹 Technology AI
  1. AI is on the brink of transforming our lives with the majority of interactions being with AIs, not people.
  2. The book 'THE COMING WAVE' by Mustafa Suleyman discusses the future of AI integrating life science and digital applications.
  3. The book offers a balanced perspective on AI's potential, historical context, and the challenges and opportunities it presents.

The Cultural, Psychological and Collective Impacts of Generative AI

AI Supremacy • 845 implied HN points • 10 Jan 24
🕹 Technology AI
  1. Generative AI has various impacts on human welfare, rights, and mental health that need careful consideration.
  2. The integration of generative AI into society and culture raises concerns about bias, discrimination, and misinformation.
  3. The rise of generative AI affects the labor market, potentially leading to job displacement and impacting the quality of professional skills and critical thinking.
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15 Times to use AI, and 5 Not to

One Useful Thing • 2226 implied HN points • 09 Dec 24
🕹 Technology AI
  1. AI is great for generating lots of ideas quickly. Instead of getting stuck after a few, you can use AI to come up with many different options.
  2. It's helpful to use AI when you have expertise and can easily spot mistakes. You can rely on it to assist with complex tasks without losing track of quality.
  3. However, be cautious using AI for learning or where accuracy is critical. It may shortcut your learning and sometimes make errors that are hard to notice.

EU and US to work together on AI guidelines🤖, YC's Secret SAFE📜, Climate Risk Landscape🌍

The VC Corner • 419 implied HN points • 07 Apr 24
🕹 Technology AI
  1. The EU and US are collaborating to create guidelines for artificial intelligence, helping to ensure safe and fair use of technology. Working together can lead to better standards and regulations for AI.
  2. YC's Secret SAFE is a financial tool that helps founders raise money more easily and efficiently. This simple agreement can speed up fundraising and make it more accessible for startups.
  3. The climate risk landscape is becoming increasingly important as companies assess their impact on the environment. Understanding these risks can help businesses make better decisions for the future.

Statistical AI Analysis Contradicts Bird Flu USDA Lab Leak Claims

Who is Robert Malone • 6 implied HN points • 06 Mar 26
🏥 Health Politics AI
  1. A rigorous Bayesian AI analysis found natural origin far more likely (about 76.8%) than a laboratory escape (about 23.2%), a large reversal from an earlier subjective 65% lab estimate.
  2. A six-layer evidence framework combined with statistical innovations (like power dampening, skepticism factors, and reliability weighting) reduced confirmation bias and produced transparent, reproducible results intended to support AI-enhanced verification systems.
  3. Even with the lower lab-leak probability, the remaining ~23% risk, prior safety incidents, and transparency gaps mean independent genetic testing, full access to records, and stronger international oversight are still warranted.

1,000 Words About A One-Liner

Technohumanism • 79 implied HN points • 28 Jul 24
🎭️ Culture AI
  1. Even with new technology, old writing lessons are still important. It's key to understand the basics of humor for effective writing.
  2. Humor can be challenging, but learning from failed attempts can help improve skills. Just like understanding a joke, getting good at writing takes practice.
  3. Making connections between topics can inspire creativity. For example, thinking about whales and AI sparked a unique comedic idea.

Why Hallucinations Will Never Be Eliminated

Teaching computers how to talk • 167 implied HN points • 03 Dec 25
🕹 Technology AI
  1. Language models are just predictions and approximations of text, which means they can sometimes make up information that sounds believable but isn't true.
  2. These models don't understand the world the way humans do; they only see words related to other words, so they can get confused easily and not follow conversations well.
  3. People who develop language models try to make them safer, but sometimes these systems can be tricked, and that’s a serious concern since they can't truly differentiate between safe and dangerous content.

Introducing the AI Frontier

The AI Frontier • 59 implied HN points • 08 Aug 24
🕹 Technology AI
  1. The blog is now focusing more on specific AI topics instead of a wide range of subjects. This will help them share deeper insights and experiences.
  2. They aim to discuss what they've learned from building their AI product and how technology changes impact AI startups.
  3. Going forward, the blog will highlight useful projects and focus on practical lessons, like data cleaning, rather than generic news about AI.

Thoughts on the AI 2027 discourse

DYNOMIGHT INTERNET NEWSLETTER • 828 implied HN points • 23 Jun 25
🕹 Technology AI
  1. The discourse around AI 2027 shows both excitement for its predictions and criticism regarding its methods. This mix of reactions indicates a deep interest and concern about the future of AI.
  2. Peer review in academic work has flaws and can often delay important findings. This can sometimes result in long and complicated processes that may not effectively ensure the accuracy of research.
  3. An open and collaborative approach to discussing and critiquing ideas, like what's happening with AI 2027, could lead to better outcomes. When people engage directly and constructively, it helps improve the ideas being presented.

Who can you trust?

Glenn’s Substack • 1395 implied HN points • 07 Apr 23
🕹 Technology AI
  1. Questioning the trustworthiness of audio, video, and photographs due to the rise of deepfakes.
  2. Historically, relying on human witnesses has been essential in situations where visual evidence is questionable.
  3. Considering the utilization of specially trained observers, similar to Heinlein's concept of Fair Witnesses, to navigate the challenges of trust in evidence.

Lit mag Guernica implodes, LLMs beat neuroscientists, CS vs. Philosophy deathmatch, AI pollution reaches science

The Intrinsic Perspective • 4805 implied HN points • 15 Mar 24
🔬 Science AI
  1. AI data pollution in science is a concerning issue, with examples of common AI stock phrases being used in scientific literature without real contribution.
  2. AI language models outperformed human neuroscientists in predicting future neuroscientific results, raising questions on the importance of understanding linguistic modifications versus actual predictions.
  3. Literary magazine Guernica faced backlash after a controversial essay led to writers withdrawing pieces, staff resigning, and social media condemnation, stressing the importance of careful reading and understanding context.

✨ DeepSeek, China's new AI challenge

Faster, Please! • 1827 implied HN points • 25 Jan 25
🕹 Technology AI
  1. DeepSeek is a new Chinese AI startup that has created an AI system competing with giants like OpenAI and Google using fewer resources. They used only 2,000 Nvidia chips and spent about $6 million on computing.
  2. The efficiency of DeepSeek's technology raises questions about the American innovation system and its current position in the global AI race. There's a concern that American companies need to adapt and speed up their advancements.
  3. If China leads in AI development, it could shift global power dynamics, similar to the reaction during the Space Race. This underscores the importance of not underestimating the growing competition in AI.

✨🗽 My Q&A with Francis Fukuyama on AI and liberal democracy. Some sci-fi, too!

Faster, Please! • 182 implied HN points • 28 Nov 25
🇺🇸 U.S. Politics AI
  1. AI technology can greatly impact our lives and the way we think about democracy. We need to consider how it may change human behavior and society.
  2. Biotechnology has potential risks that could affect human nature itself. It's important to reflect on how these advancements might alter what it means to be human.
  3. Discussions about technology should include both excitement about progress and caution about the challenges. Balancing innovation with ethical considerations is key.

Kimi K2 and when "DeepSeek Moments" become normal

Democratizing Automation • 680 implied HN points • 14 Jul 25
🕹 Technology AI
  1. Kimi K2 is a new AI model from a Chinese startup and shows that China is catching up to or surpassing the U.S. in AI development. This means we need to rethink how we view AI technology in the future.
  2. Training leading AI models is becoming easier and cheaper, which means more organizations can create powerful models. This trend hints at a growing competition in the AI landscape.
  3. The gap between open AI models from the West and those from China is widening. This signals a need for stronger support and investment in AI research in the West.

Import AI 364: Robot scaling laws; human-level LLM forecasting; and Claude 3

Import AI • 519 implied HN points • 11 Mar 24
🕹 Technology AI
  1. Scaling laws are transforming the world of robotics - more data, bigger context windows, and more parameters in models lead to significant improvements quickly.
  2. Advancements in AI forecasting show that language models can match human capabilities in predicting binary outcomes, suggesting a future of accurate forecasting by AI systems.
  3. New datasets like Panda-70M for video captioning and models like Evo for biological predictions are pushing the boundaries of AI and demonstrating the power of generative models in various domains.

China's AI IPOs have me all jealous

Alex's Personal Blog • 98 implied HN points • 31 Dec 25
💼 Business AI
  1. Twitter/X plans to raise creator payouts to get more unique user data for its AI and says it can block most fraud, which will likely push more incentivized posting.
  2. Meta’s buy of Manus signals a real push into enterprise AI, aiming to sell hosted models and agentic tools to companies instead of just using AI to support ads.
  3. Chinese AI firms like MiniMax are going public early with rapid consumer-driven revenue growth but remain unprofitable due to heavy R&D and weak consumer margins; the big test is whether they can scale higher-margin enterprise revenue without giving away too much value through open models.

How to Be a 30x AI Engineer with a Taste

Pratik’s Pakodas 🍿 • 10 implied HN points • 19 Feb 26
🕹 Technology AI
  1. Taste — the ability to evaluate work, choose what to build, and foresee what will matter — is now the most valuable engineering skill because AI can generate code itself.
  2. Engineers with strong taste make compounding decisions about product, architecture, and quality that drive outsized impact and pay, and that depends on adjacent skills like product thinking, user empathy, and clear communication.
  3. Taste can be developed deliberately through practice: study great products and papers, do side-by-side critiques, prototype rapidly, and run projects like evaluation rubrics, onboarding redesigns, or timeboxed product builds to train recognition, compass, and vision.

Top Links 813 How AI is eating the internet. Where to buy an affordable American-badged car. The G7 horror show & subjectivity in language.

Chartbook • 600 implied HN points • 29 Jul 25
🕹 Technology AI
  1. AI is changing how we search for information online. It's making it harder to find what we really want.
  2. People are looking for more affordable American-made cars. There are options out there that fit different budgets.
  3. There are important discussions happening about language and its meaning in the context of recent G7 events. It's shaping how we think and communicate.

Meet the Team Bringing AI Agents to Minecraft

A16Z GAMES • 439 implied HN points • 29 Mar 24
🕹 Technology AI
  1. Altera is developing AI agents for Minecraft that can interact autonomously and learn from player interactions.
  2. The team at Altera, including MIT PhDs and ex-Google AI engineers, aims to create agents with episodic memory and the ability to set their own goals.
  3. Altera's long-term goal is to expand their AI agents to other games like Roblox and integrate their technology with game engine SDKs for wider developer use.

Clouded Judgement 2.27.26 - The Poison of Inertia

Clouded Judgement • 14 implied HN points • 27 Feb 26
💼 Business AI
  1. AI is rapidly changing how work gets done, letting smaller, flatter teams and new tools replace old roles and prompting big reorganizations and layoffs to remove inefficiency.
  2. Large incumbents are crippled by organizational inertia and often need to rewrite playbooks or start fresh, untethered units to adapt to new platform shifts.
  3. AI will materially lower software production costs, so legacy players must proactively cut bloat and restructure their cost base or risk being undercut by cheaper, modern competitors.

The AI Conversations That Shaped 2023

Gradient Flow • 878 implied HN points • 28 Dec 23
🕹 Technology AI
  1. AI and machine learning advancements in 2023 sparked vibrant discussions among developers, focusing on topics like large language models, infrastructure, and business applications.
  2. Technology media shifted its focus to highlight rapid AI advancements, covering diverse AI applications across industries while also addressing concerns about deepfakes and biases in AI systems.
  3. The book 'Mixed Signals' by Uri Gneezy was named the 2023 Book of the Year, offering insights on how incentives shape behavior in AI, technology, and business, with a focus on aligning incentives with ethical values.

Forthcoming Book, Latest Interviews, and AI Armageddon

SINGULARITY WEEKLY • 1356 implied HN points • 02 Apr 23
🕹 Technology AI
  1. There are concerns about the risks and impact of advanced AI technology on society.
  2. Multiple experts are calling for a halt to the development of powerful AI systems due to potential negative consequences.
  3. The rapid advancement of AI technology is causing panic and hysteria as global leaders struggle to address the potential threats posed by AI.

Open Thread 311

Astral Codex Ten • 5574 implied HN points • 15 Jan 24
🕹 Technology AI
  1. Weekly open thread for discussions and questions on various topics.
  2. AI art generators still have room for improvement in handling tough compositionality requests.
  3. Reminder about the PIBBSS Fellowship, a fully-funded program in AI alignment for PhDs and postdocs from diverse fields.

The Revolution will not be Personalised: OpenAI's Sora, Apple Vision Pro and The End of Democracy

The Bigger Picture • 619 implied HN points • 16 Feb 24
🕹 Technology AI
  1. AI and augmented reality technologies like OpenAI's Sora and Apple Vision Pro are shaping a future of highly personalized experiences tailored to individual desires.
  2. The rise of personalization in society, from technology to politics, reflects a deep-rooted belief in tailoring the world to meet one's own preferences for happiness and fulfillment.
  3. As we navigate a landscape of increasing personalization, it's crucial to question the impact on subjectivity, societal norms, and our relationship with the world around us.

How to Package Agents

Good Better Best • 2 implied HN points • 06 Mar 26
💼 Business AI
  1. SaaS companies are mainly packaging AI agents two ways: as paid add-ons with clear per-unit (credit) pricing, or bundled into higher-tier plans to drive upgrades.
  2. Credits and usage-based models are becoming the standard metric, often paired with gated business access and generous trial windows to prove value.
  3. The right packaging depends on fit: flexible, multi-agent needs favor add-ons, while purpose-built solutions like support automation are better bundled into core plans, and the market playbook is still forming.

After Musk’s Lawsuit, No More Illusions About OpenAI

Big Technology • 4753 implied HN points • 08 Mar 24
🕹 Technology AI
  1. Elon Musk's lawsuit against OpenAI revealed that the company's open promise was more of a ploy for recruitment than a true dedication to open-source.
  2. OpenAI's deal with Microsoft has created a situation where it must balance being close to AGI for profits while keeping its research proprietary, as Musk's lawsuit claims AGI has been reached.
  3. Musk's case against OpenAI showcases his concerns about Google's AI advancements and his efforts to shape the narrative around his relationship with OpenAI.

AI Is Making Us Smarter

Justin E. H. Smith's Hinternet • 725 implied HN points • 29 Jun 25
🕹 Technology AI
  1. AI is changing the way we learn and think, helping us access and absorb more information quickly. This means our ability to understand and process knowledge is growing.
  2. There's a belief that we, as humans, are becoming smarter thanks to our interactions with AI. It's not just machines getting smarter; we are evolving in our thinking too.
  3. The rise of AI makes it feel like we're entering a new age of intelligence, where our minds can integrate vast amounts of knowledge more effectively than ever before.

The ads are coming

benn.substack • 920 implied HN points • 23 May 25
🕹 Technology AI
  1. Companies are great at tracking what we do online to learn what we like. They use that info to sell us things, often in sneaky ways.
  2. AI is getting better at understanding our conversations and wants. This could lead to new ways for companies to target us with ads while we interact with their services.
  3. As AI improves, we might willingly share more personal data because we value the services we get in return, making it easier for companies to sell us even better-targeted advertisements.

IPO: Z.ai intends to raise $560M at a valuation of $6.5 billion.

Alex's Personal Blog • 98 implied HN points • 30 Dec 25
💼 Business AI
  1. Z.ai plans to raise $560 million at about a $6.5 billion valuation while still small and deeply loss-making. Its revenues grew quickly but R&D spending and cash burn are massive, and most IPO proceeds are earmarked for more R&D and expansion.
  2. China’s AI market looks set to be enterprise- and on-premise-led, with vendors selling tailored, locally hosted models to corporations. Regulators are also tightening rules on safety, data consent, and content even as Chinese labs release competitive open models and pursue public listings.
  3. Building cutting-edge AI requires enormous capital and infrastructure, so big investors and tech firms are pouring money in, which reduces funding risk but increases execution pressure to monetize and scale. That dynamic favors well-funded players while smaller labs race to grow.

Drones

Caitlin’s Newsletter • 1988 implied HN points • 22 Dec 24
🕹 Technology AI
  1. Drones are increasingly present in our lives, taking over both our skies and our privacy. It's unsettling how they surveil us and even interfere with our daily routines.
  2. Drones are being used in war zones in disturbing ways, like using sound to draw civilians out of hiding. This raises concerns about ethics and humanity in warfare.
  3. The rise of drones signifies a shift from nature to technology in our environment. This change is affecting our connection to the natural world and what it means to be human.

Resilient Cyber Newsletter #10

Resilient Cyber • 39 implied HN points • 20 Aug 24
🕹 Technology AI
  1. Security tool sprawl is increasing in organizations, with many now using 70 to 90 different tools, making it harder to manage effectively.
  2. AI can speed up fixing coding vulnerabilities, but many AI-generated codes can be insecure, requiring careful checking by developers.
  3. Understanding systems and processes is key to tackling the complexities of cybersecurity, rather than blaming external forces for challenges in job applications.

Amazon Anthropic: Poison Pill or Empire Strikes Back

SemiAnalysis • 6667 implied HN points • 02 Oct 23
🕹 Technology AI
  1. Amazon and Anthropic signed a significant deal, with Amazon investing in Anthropic, which could impact the future of AI infrastructure.
  2. Amazon has faced challenges in generative AI due to lack of direct access to data and issues with internal model development.
  3. The collaboration between Anthropic and Amazon could accelerate Anthropic's ability to build foundation models but also poses risks and challenges.

Monthly Roundup #25: December 2024

Don't Worry About the Vase • 1971 implied HN points • 23 Dec 24
🕹 Technology AI
  1. AI developments have rapidly advanced recently, with major releases from companies like Google and OpenAI, indicating significant changes ahead.
  2. Many people struggle to distinguish between predictions and assurances, leading to costly misunderstandings in planning and decision-making.
  3. The emergence of competing social media platforms, such as BlueSky, shows that users are seeking alternatives amid frustrations with existing sites like Twitter.

Getting started with AI: Good enough prompting

One Useful Thing • 2199 implied HN points • 24 Nov 24
🕹 Technology AI
  1. Most people struggle to use AI correctly because they treat it like a search engine. Instead, it works better when you give it detailed tasks and prompts.
  2. Getting to know AI takes time; spending about 10 hours using it can help you figure out what it can do for your work or daily tasks.
  3. Think of AI as a patient coworker who forgets everything after each chat. Be clear about what you want, ask for many variations, and have a conversation to get the best results.

Revenge of the Dilettantes

Breaking Smart • 98 implied HN points • 20 Dec 25
🕹 Technology AI
  1. AI makes bespoke, one-off publishing and media workflows cheap and practical, so creators can publish essays, books, and artworks in custom formats instead of forcing them into standard platforms.
  2. AI tools empower dilettantes to be full‑stack creators, letting casual generalists produce art, code, and even robotics projects without needing deep craft mastery.
  3. AI transforms reading and learning by supercharging book clubs and study groups, enabling faster, deeper exploration, translation, and research that turns casual reading into sustained study.