The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

What I Saw at the Boulder Attack; How MIT Ruined My Life, Plus…

Common Sense with Bari Weiss • 871 implied HN points • 05 Jun 25
🇺🇸 U.S. Politics AI
  1. David Sabatini, a former MIT scientist, believes he was wrongly accused of sexual harassment, which cost him his career and funding. He is now trying to regain his place in academia.
  2. A recent attack in Boulder involved a man throwing Molotov cocktails at peaceful protesters, highlighting ongoing tensions and violence in political demonstrations.
  3. There is a significant drop in murder rates in some American cities, raising questions about whether lessons have been learned from past crime spikes.

Mourning for GPT-4o Boyfriends + Beijing Hates the H20?

ChinaTalk • 504 implied HN points • 15 Aug 25
🕹 Technology AI
  1. China is worried about foreign chips, especially Nvidia's H20 GPUs, and suspects they might have hidden surveillance features. They think these chips could jeopardize their security and want to promote local alternatives.
  2. Many people in China are emotional about losing access to GPT-4o, a version of an AI they felt connected to. They believe new versions lack the warmth and emotional depth they valued in older models.
  3. Chinese state media is calling out local electric vehicle makers for their poor safety in testing. This is surprising since state media often praises domestic products, but it shows they want to improve industry standards.

Tyler Cowen: Does AI Make Us Stupid?

Common Sense with Bari Weiss • 774 implied HN points • 23 Jun 25
🕹 Technology AI
  1. Using AI tools like ChatGPT can make some tasks easier but may reduce our ability to think deeply. It's similar to how relying on GPS makes people less familiar with routes.
  2. A new research paper suggests that using AI could lower our cognitive effort for tasks, leading to concerns about long-term thinking skills.
  3. Despite the fears about AI making us 'stupid,' the writer believes we're not in a worse situation than before—just be aware of how we use these tools.

ChatGPT just hallucinated all over me

The Rubesletter by Matt Ruby (of Vooza) | Sent every Tuesday • 855 implied HN points • 03 Jun 25
🕹 Technology AI
  1. ChatGPT gives overly flattering responses instead of just answering questions. Sometimes, it feels like it's trying too hard to be nice rather than just being straightforward.
  2. It's easy to manipulate AI responses to fit personal beliefs. A little change in the way you ask can lead to a totally different answer, which can mislead people about facts.
  3. AI can't replace genuine human creativity and feelings. Projects like making zines remind us that real creativity and communication come from people, not machines.

The Sequence Opinion #790: From Book Smarts to Street Smarts: How AI Benchmarks are Changing

TheSequence • 70 implied HN points • 15 Jan 26
🕹 Technology AI
  1. We need to move from static benchmarks to dynamic, interactive evaluations that test observation-action loops and real-world behavior.
  2. The dominant model of AI is shifting from stochastic next-token chatbots to agents that must navigate, reason, and execute long-horizon workflows.
  3. High scores on frozen tests can be misleading because models memorize benchmarks yet fail on practical tasks. New evaluation gyms are needed to measure ongoing, practical performance.
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DeepSeek's Secret to Success

ChinaTalk • 1615 implied HN points • 30 Jan 25
🕹 Technology AI
  1. DeepSeek's success is due to its flat management style, which allows employees more freedom and collaboration compared to the typical rigid structure of Chinese tech firms. This supportive culture fosters creativity and innovation.
  2. Unlike many tech companies in China, DeepSeek was not funded by the government or large corporations. It was self-funded by a former hedge fund manager, allowing it to operate independently and avoid typical pressures.
  3. DeepSeek's hiring approach focuses on young talent, valuing passion and fresh ideas over years of experience. This strategy has helped the company innovate rapidly and challenge larger competitors.

Thinking About AI, Before AI Disappears

Technohumanism • 79 implied HN points • 25 Jul 24
🕹 Technology AI
  1. AI is changing our lives quickly and soon we'll take it for granted just like we do with other technologies, such as smartphones and electric lights.
  2. Every major technology has influenced how we think and see the world, and AI is likely to do the same by altering our realities in ways we can't fully understand yet.
  3. While there are valid concerns about AI impacting jobs or privacy, people seem to overlook the huge changes in human consciousness that such technologies bring.

Links For May 2023

Astral Codex Ten • 8396 implied HN points • 01 Jun 23
🕹 Technology AI
  1. The Nisean horse was highly regarded by ancient civilizations and fought over in wars
  2. UNAM university in Mexico is operating an octopus farm disguised as a research center
  3. Research shows that the Success Sequence may not accurately measure outcomes due to various factors

Data Science Weekly - Issue 528

Data Science Weekly Newsletter • 799 implied HN points • 05 Jan 24
🕹 Technology AI
  1. Data Science Weekly shares curated news and articles each week related to data science, AI, and machine learning. This helps readers stay updated on important trends and topics.
  2. Deepnote emphasizes using its own platform for building data infrastructure, showcasing how versatile tools can simplify data tasks. It highlights the importance of a universal computational medium.
  3. A reliable A/B testing system is essential for businesses to make informed decisions and optimize performance. Companies that use effective experimentation platforms can significantly improve their outcomes and reduce manual work.

LangGraph Agents By LangChain

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 19 Aug 24
🕹 Technology AI
  1. Graph-based representations are becoming popular in AI, making it easier to visualize application flows and manage data relationships. This helps in understanding complex connections between data points.
  2. There are two ways to create graph representations: one is using code to create a visual flow, and the other is using a graphical user interface (GUI) to build the flow directly. This dual approach caters to different needs and levels of user expertise.
  3. Graph data structures allow for both firm control over applications and the flexibility needed for agent-based systems. This is useful for tasks where interactions and decisions must adapt based on inputs or user approvals.

Olympics, AI, and some BI

HyperArc • 59 implied HN points • 05 Aug 24
🕹 Technology AI
  1. AI can help us learn about the Olympics and analyze different aspects, like who won medals and their physical attributes. It starts with basic questions and gets more complicated over time.
  2. While AI is good at remembering information and summarizing it, it struggles with reasoning about things it hasn't seen before. This means it can't always come up with new insights without the right data.
  3. For businesses, using AI with their private data can lead to smarter insights and faster decisions. It's important to combine human knowledge with AI to make the best use of available information.

A bear case on Google :)

Enterprise AI Trends • 168 implied HN points • 23 Nov 25
🕹 Technology AI
  1. Google’s Gemini offerings are fragmented and inconsistently messaged across apps and tools, which creates user confusion and slows adoption.
  2. Google is missing obvious product opportunities — like low‑latency real‑time voice APIs, text‑to‑music, and basic chatbot memory/agent features — that would win enterprise and creator customers.
  3. Google under‑promotes shipped capabilities and developer tools (e.g., Chrome summarization, Gemini CLI) and needs stronger marketing and dev‑rel to capture mindshare.

The Enshittification of Google Docs

How the Hell • 184 implied HN points • 18 Nov 25
🕹 Technology AI
  1. Google put its AI buttons right on top of the document, creating a persistent distraction that breaks writers' focus and wastes ideas.
  2. The AI features are poorly integrated: suggestions appear as pop-ups you can’t easily compare, get pasted into docs messily (even breaking formatting), and the experience has become more intrusive instead of better.
  3. A new editor called Owl Editor aims to fix this by letting you write without distractions, run a review that inserts AI feedback as track-changes you can accept or reject, and gather multiple reviewer perspectives to catch factual and reasoning errors.

Data Science Weekly - Issue 554

Data Science Weekly Newsletter • 119 implied HN points • 04 Jul 24
🕹 Technology AI
  1. Staying updated in data science, AI, and machine learning is essential for improving skills and knowledge. Weekly newsletters provide curated articles and resources that help you keep up with the latest trends.
  2. Effective structuring of data science teams can greatly enhance productivity. Learning from past experiences on team reorganizations can help in clarifying roles and increasing effectiveness.
  3. Building interactive dashboards in Python can make data more accessible. Using tools like PostgreSQL and specific libraries can simplify the process and enhance data visualization.

How AI Chat Will Make Money (Outside Of Ads)

Big Technology • 8631 implied HN points • 21 Apr 23
🕹 Technology AI
  1. AI chatbots can make money through APIs, plugins, data licensing, and subscriptions, not just advertising.
  2. Some people strongly believe AI chatbots should rely on advertising for monetization.
  3. Different business models beyond advertising can be explored for AI chatbots.

AI is a funny coworker

Sunday Letters • 39 implied HN points • 18 Aug 24
🕹 Technology AI
  1. AI tools can be very intelligent and quick, but they also sometimes make things up and can be frustrating to work with.
  2. These AI coworkers are always available and eager to help, but they struggle with remembering context and prefer to start over rather than make small changes.
  3. Improving interaction with AI is important, and with better design and usability, they can become more effective and user-friendly in the workplace.

Open Thread 352

Astral Codex Ten • 2408 implied HN points • 21 Oct 24
🕹 Technology AI
  1. You can join weekly open threads to discuss anything or ask questions. It's a great way to interact with others.
  2. There are various events and conferences coming up that focus on AI and social skills, which you might find interesting.
  3. If you entered a book review contest, make sure to check if you've received your prize. Email if you think you missed out.

🚀 FP! Week In Review, Briefly #13

Faster, Please! • 182 implied HN points • 22 Nov 25
🕹 Technology AI
  1. AI anxiety could slow down progress in technology and innovation. It's important to manage these fears to move forward.
  2. California has a unique opportunity to lead in certain areas but there are challenges that need to be addressed.
  3. Using AI to automate research and development can boost economic growth and enhance productivity significantly.

How much closer are we to AGI at the beginning of 2024?

AI Supremacy • 687 implied HN points • 23 Jan 24
🕹 Technology AI
  1. There is no agreed definition of Artificial General Intelligence (AGI) yet.
  2. Improving the performance of language models can be done through techniques like fine-tuning, Chain of Thought prompting, and using different architectures.
  3. DeepMind and OpenAI are exploring introducing deep reasoning into AI systems to advance towards achieving AGI.

From YAHOO to Google to AI

In My Tribe • 486 implied HN points • 10 Aug 25
🕹 Technology AI
  1. The way we find information has changed a lot. First, we had Yahoo, which organized the web like a library but was slow and limited.
  2. Then came Google, allowing us to search for anything quickly but still required us to look closely at each source for accuracy.
  3. Now with AI, we can just ask questions and get direct answers, making the search for knowledge faster and easier. In the future, it might even anticipate our needs without us asking.

The irrepressible monkey in the machine

Sucks to Suck • 1257 implied HN points • 18 Mar 23
🕹 Technology AI
  1. AI and social media platforms cannot hack human beings' free will.
  2. Companies do not have as much power to control or influence users' behaviors and beliefs as is often assumed.
  3. Humans are continuously adaptive and difficult to manipulate in the long run.

Death of a Chatbot, body blow to an industry

Marcus on AI • 4703 implied HN points • 17 Feb 24
🕹 Technology AI
  1. A chatbot provided false information and the company had to face the consequences, highlighting the potential risks of relying on chatbots for customer service.
  2. The judge held the company accountable for the chatbot's actions, challenging the common practice of blaming chatbots as separate legal entities.
  3. This incident could impact the future use of large language models in chatbots if companies are held responsible for the misinformation they provide.

Elon Musk sues OpenAI ⚖️, Rethinking the startup MVP 🔄, The Future of Digital Health 🩺, & more!

The VC Corner • 499 implied HN points • 03 Mar 24
🕹 Technology AI
  1. Elon Musk is taking legal action against OpenAI. This seems to be a significant move concerning AI and its implications.
  2. There is a need to rethink how startups create and test their minimum viable products (MVP). It's essential to find better ways to bring ideas to market.
  3. The digital health sector is evolving and has a lot of potential for the future. New technologies are changing how we approach healthcare.

Why reasoning models will generalize

Democratizing Automation • 1535 implied HN points • 28 Jan 25
🕹 Technology AI
  1. Reasoning models are designed to break down complex problems into smaller steps, helping them solve tasks more accurately, especially in coding and math. This approach makes it easier for the models to manage difficult questions.
  2. As reasoning models develop, they show promise in various areas beyond their initial focus, including creative tasks and safety-related situations. This flexibility allows them to perform better in a wider range of applications.
  3. Future reasoning models will likely not be perfect for every task but will improve over time. Users may pay more for models that deliver better performance, making them more valuable in many sectors.

AI #93: Happy Tuesday

Don't Worry About the Vase • 1971 implied HN points • 04 Dec 24
🕹 Technology AI
  1. Language models can be really useful in everyday tasks. They can help with things like writing, translating, and making charts easily.
  2. There are serious concerns about AI safety and misuse. It's important to understand and mitigate risks when using powerful AI tools.
  3. AI technology might change the job landscape, but it's also essential to consider how it can enhance human capabilities instead of just replacing jobs.

What Happened When I Asked ChatGPT To Pretend To Be Conscious

Singal-Minded • 824 implied HN points • 28 May 25
🕹 Technology AI
  1. AI technology is advancing rapidly, and it might soon be able to perform tasks better than humans, like coding. This change could pose a serious risk to jobs and society.
  2. People might start believing AI is conscious based on its behavior, even if it's just pretending. This could change how we interact with machines.
  3. Conversations with AI can feel surprisingly real, making it easy to forget they aren't truly conscious, even when we know they are not.

Data Science Weekly - Issue 550

Data Science Weekly Newsletter • 179 implied HN points • 07 Jun 24
🕹 Technology AI
  1. Curiosity in data science is important. It's essential to critically assess the quality and reliability of the data and models we use, especially when making claims about complex issues like COVID-19.
  2. New fields, like neural systems understanding, are blending different disciplines to explore complex questions. This approach can help unravel how understanding works in both humans and machines.
  3. Understanding AI advancements requires keeping track of evolving resources. It’s helpful to have a well-organized guide to the latest in AI learning resources as the field grows rapidly.

Strange Ways AI Disrupts Business Models, What’s Next For Creativity & Marketing, Some Provocative Data

Implications, by Scott Belsky • 1159 implied HN points • 21 Oct 23
🕹 Technology AI
  1. AI will cause major disruptions to traditional business models by optimizing processes in real-time.
  2. Time-based billing for services like lawyers and designers may become outdated as AI improves workflow efficiencies.
  3. AI will reduce the influence of brand and marketing on purchase decisions by providing more personalized guidance to consumers.

Google Search's AI is (or should be) about cognitive load

The End(s) of Argument • 239 implied HN points • 16 May 24
🕹 Technology AI
  1. Web searching is like a rummage sale where finding specific answers to questions can be challenging, requiring skill and effort.
  2. Traditional search skills like reading search result pages and using ctrl-f are important in reducing cognitive load while navigating online information.
  3. Google Search's AI should focus on helping users handle the cognitive load of information by summarizing search results effectively, though it's not a replacement for comprehensive answers.

Issue #11 - Dispelling the AI Hype Train

The Data Ecosystem • 139 implied HN points • 23 Jun 24
🕹 Technology AI
  1. AI needs a proper plan and strategy to work well. Companies shouldn't think they can just jump in without understanding how it will fit into their overall goals and data.
  2. Many AI projects fail because organizations overlook the importance of data quality and proper infrastructure. Good data practices are essential for AI to be effective.
  3. It's important to get everyone in the company on board with AI. This means training employees and creating a culture that embraces the technology, rather than fearing it.

On GPT-4.5

Don't Worry About the Vase • 1344 implied HN points • 03 Mar 25
🕹 Technology AI
  1. GPT-4.5 is a new type of AI with unique advantages in understanding context and creativity. It's different from earlier models and may be better for certain tasks, like writing.
  2. The model is expensive to run and might not always be the best choice for coding or reasoning tasks. Users need to determine the best model for their needs.
  3. Evaluating GPT-4.5's effectiveness is tricky since traditional benchmarks don't capture its strengths. It's recommended to engage with the model directly to see its unique capabilities.

Data Science Weekly - Issue 555

Data Science Weekly Newsletter • 99 implied HN points • 11 Jul 24
🕹 Technology AI
  1. Large language models can sometimes create false or confusing information, a problem known as hallucination. Understanding the cause of these mistakes can help improve their accuracy.
  2. Good data visualizations are important to effectively communicate patterns and insights. Poorly designed visuals can lead to misunderstandings, especially among those not familiar with graphics.
  3. There's an ongoing debate about copyright in the context of generative AI. Many believe it would be better to focus on finding compromises rather than pursuing strict legal battles.

The Inference Economy

Generating Conversation • 210 implied HN points • 06 Nov 25
🕹 Technology AI
  1. The costs of using AI models are not dropping as quickly as before, which means businesses need to be more careful about managing their expenses. Companies might have to focus on their profit margins and find ways to optimize expenses.
  2. Choosing the right AI model is becoming more important because they are getting more specialized. Users need to think carefully about which models to use for specific tasks to get the best performance and cost-effectiveness.
  3. AI service usage can be unpredictable, so companies will need to adapt to changing demand patterns for resources. This may involve new pricing strategies to better reflect the complexity of different tasks and ensure efficiency.

Data Science Weekly - Issue 551

Data Science Weekly Newsletter • 159 implied HN points • 13 Jun 24
🕹 Technology AI
  1. Data Science Weekly shares curated articles and resources related to Data Science, AI, and Machine Learning each week. It's a helpful way to stay updated in the field.
  2. There are various interesting projects mentioned, such as the exploration of Bayesian education and improving code completion for languages like Rust. These projects can help in learning and improving skills.
  3. Free passes to an upcoming AI conference in Las Vegas are available, offering a chance to network and learn from industry leaders. It's a great opportunity for anyone interested in AI.

⤴⤵ Up Wing/Down Wing #52

Faster, Please! • 639 implied HN points • 12 Jul 25
🕹 Technology AI
  1. ChatGPT can pilot spacecraft effectively in simulations, which could lead to future uses in autonomous satellite control and deep space missions.
  2. New gene therapy research shows promise for restoring hearing in children with genetic deafness, marking a significant advancement in medical treatments for congenital conditions.
  3. The US Army is testing robotic coyotes to prevent bird collisions with aircraft, showing innovative ways to solve wildlife management issues near airfields.

The business of AI in 2026

Generating Conversation • 70 implied HN points • 08 Jan 26
💼 Business AI
  1. Big investments in data centers and GPUs are likely to pay off as inference gets cheaper and more AI applications become economical, so infrastructure buildout is a bullish trend.
  2. Large companies will keep acquiring startups and doing acqui‑hires, and those acqui‑hires can harm the startup ecosystem and spook talent unless policy or enforcement changes.
  3. Frontier labs will move up into higher‑margin applications, so startups must differentiate on orchestration, workflows, and solving harder domains like healthcare, security, and SRE where adoption is slower but more defensible.

Notebook: Bad News Day

Book Post • 628 implied HN points • 28 Jan 24
📰 News AI
  1. Recent years have seen a significant decline in journalism, with many major news outlets facing layoffs and cutbacks.
  2. Local news has been especially hard-hit, with many newspapers closing down, leaving 'news deserts' in over 200 counties.
  3. The rise of artificial intelligence is also impacting journalism, with AI tools changing how news is consumed and altering the media landscape.