The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Data Science Weekly - Issue 528

Data Science Weekly Newsletter • 799 implied HN points • 05 Jan 24
🕹 Technology Data science AI Machine Learning Software Engineering Research
  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.

UX Roundup: Outpacing Human Aging | Animating Paintings | Domain-Specific UX | Bad AI Video | Top Avatars Vary by Platform | Search Research | o3-mini

Jakob Nielsen on UX • 15 implied HN points • 03 Feb 25
🕹 Technology AI User Experience Design Digital Tools Innovation
  1. Technology, especially in healthcare, is advancing faster than many people age. This means tools like hearing aids are improving rapidly, helping users hear better than before.
  2. AI is starting to transform the design industry. It's becoming crucial for UX professionals to specialize in specific fields, like healthcare, because AI will handle many basic design tasks in the future.
  3. Students are increasingly using AI for schoolwork, and this trend is doubling yearly. Instead of seeing this as cheating, education should embrace AI as a valuable tool for learning.

LangGraph Agents By LangChain

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 19 Aug 24
🕹 Technology AI Data Software Programming Engineering
  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 Data science Analytics Machine Learning Software Development
  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.
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Workplace AI just had a terrible week

Make Work Better • 92 implied HN points • 26 Nov 24
🕹 Technology AI Workplace Software Innovation Ethics
  1. Microsoft's Copilot AI has faced serious criticism recently, with many users finding it unreliable and disconnected from actual business needs. Less than 4% of IT leaders reported that it provided significant value, raising concerns about its effectiveness.
  2. There are issues with Copilot accidentally accessing and sharing sensitive company information. This has created trust problems, as employees worry about privacy and data security.
  3. Next year, companies are moving towards 'agentic AI', where AI not only assists but takes on tasks autonomously. This shift aims to improve efficiency, but it's crucial to ensure these systems remain secure and trustworthy.

What if AI can already 'feel'?

State of the Future • 42 implied HN points • 23 Apr 25
🕹 Technology AI Machine Learning Robotics Computational Theory Digital ethics
  1. AI already has its own kind of 'body' based on digital processes, not physical sensations. This means that AI can experience things and develop understanding in ways that are different from humans.
  2. Wisdom isn't just about human experience; it's a set of skills that involves making good decisions from the information available. AI can potentially do this better by analyzing vast amounts of data without the limitations humans have.
  3. AI might create its own social hierarchies and status signals based on how efficiently they operate in their digital environment. These structures could be complex and different from human social dynamics, and we might not even notice them.

Data Science Weekly - Issue 554

Data Science Weekly Newsletter • 119 implied HN points • 04 Jul 24
🕹 Technology Data science AI Machine Learning Data Engineering Visualization
  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.

AI is a funny coworker

Sunday Letters • 39 implied HN points • 18 Aug 24
🕹 Technology AI Machine Learning Product Design User Experience Automation
  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.

AI visually explained in 12 minutes 🤖

Year 2049 • 13 implied HN points • 01 Feb 25
🕹 Technology AI Software Innovation Education Media
  1. AI can be easier to understand than many people think. It helps to have simple explanations and visuals.
  2. There's a new 12-minute video that combines information from a 7-part series about AI. This makes it easier to share with others and learn together.
  3. The creator is planning to keep making content about AI and wants feedback for improvements. They encourage sharing their work to help others learn.

Stop begging for JSON

Artificial Ignorance • 88 implied HN points • 12 Dec 24
🕹 Technology AI Software Development Engineering Data
  1. Using AI tools has gotten better with structured outputs, which ensures that AI responses follow a specific format. This means developers can rely more on AI results.
  2. OpenAI introduced features like JSON mode and Structured Outputs, making it easier for developers to get the correct data structure from the AI. This reduces errors and makes integration smoother.
  3. Even with improvements, some challenges like inconsistent names and types in data still exist. Developers need to be aware and manage these issues when using AI.

Has the time come to take Mortal Computing seriously?

State of the Future • 32 implied HN points • 30 Apr 25
🕹 Technology Computers AI Hardware Software Innovation
  1. Mortal Computing is about embracing variability and imperfections in technology, moving away from the current trend of making every chip identical and perfect.
  2. Weakly Mortal designs could lead to huge gains in performance and efficiency by using smart systems that adapt to different conditions, instead of relying on perfect chips.
  3. Strongly Mortal computing could potentially unlock amazing new technologies, like self-repairing machines and entirely new types of computing that could change how we interact with technology.

Mistral Small 3, Open Music Foundation Models, Qwen2.5-Max and VL, FUZZ, Open-R1, Hailuo Director mode, Tülu 3 405B, Postman AI Agent Builder, Goose, LlamaReport, open-source operator, Codev, and more

AI Brews • 17 implied HN points • 31 Jan 25
🕹 Technology AI Software Innovation Digital Tools Data
  1. Mistral Small 3 is a new AI model that is fast and efficient, making it a strong competitor against larger models like Llama 3.3.
  2. Tülu 3 405B is an open-source model that follows an open training approach and has shown great performance on key benchmarks.
  3. There are new tools and apps for music generation and automation, making it easier to create songs and automate tasks through simple conversations.

Case Study: Scaling customer intelligence

Artificial Ignorance • 117 implied HN points • 27 Nov 24
💼 Business Sales Marketing AI Data Analysis Customer Insights
  1. AI can help analyze a large number of sales calls quickly instead of relying on humans to do it manually. This makes it easier to understand customer behaviors and needs.
  2. Choosing the right AI model is important. Higher quality models may cost more, but they can provide better and more accurate results over cheaper options.
  3. It’s essential to make the data user-friendly. Organizing and making information accessible helps teams use insights from the analysis effectively.

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 Startups Healthtech Venture Capital SaaS
  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.

Data Science Weekly - Issue 550

Data Science Weekly Newsletter • 179 implied HN points • 07 Jun 24
🕹 Technology Data science AI Machine Learning Computing Data Engineering
  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 Marketing Creativity AI Models Innovation
  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 Information literacy Search Algorithms
  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 Data science Business strategy Digital Transformation Organizational Culture
  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.

Data Science Weekly - Issue 555

Data Science Weekly Newsletter • 99 implied HN points • 11 Jul 24
🕹 Technology Data science AI Machine Learning Data Engineering Data Visualization
  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.

Data Science Weekly - Issue 551

Data Science Weekly Newsletter • 159 implied HN points • 13 Jun 24
🕹 Technology Data science AI Machine Learning Software Development Computer Science
  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.

Are AI Agentic Workflows the Future of Automation?

The API Changelog • 10 implied HN points • 30 Jan 25
🕹 Technology AI Automation APIs Workflows Data
  1. AI agentic workflows can adapt and make decisions like humans, allowing them to handle unexpected situations in real-time. This makes them more effective than traditional automation, which often breaks down with changes.
  2. Using APIs is essential for AI agentic workflows because they enable access to live data and help connect different services. This makes workflows smarter and more responsive to current events.
  3. Switching to agentic workflows can reduce the maintenance costs of automation and doesn't require deep technical knowledge, making it easier for more people to implement.

👴👵🤖 Humanity’s Great Fight for the Future: Demographics vs. AI

Faster, Please! • 1370 implied HN points • 05 Feb 24
🕹 Technology AI Demographics Economy Future scenarios Automation
  1. There may be a tug-of-war between AI-led productivity gains and the budget impacts of retirees and falling population growth.
  2. The analysis examines key megatrends like technology, demographics, fiscal deficits, globalization, and energy transitions.
  3. Two scenarios are presented: One where aging population and retirees limit growth, and another where productivity surges through AI-led automation.

The Personalization Wave, A Surge of Wildly Human-Intensive Non-Scalable Experiences, & Ideas Of The Month

Implications, by Scott Belsky • 1198 implied HN points • 07 May 23
🕹 Technology AI Personalization Creativity
  1. The future will be hyper-personalized, catering to individual preferences and controlled data sharing.
  2. AI will shape new roles for humans, allowing for more human-intensive, unscalable experiences.
  3. Increased demand for crafted non-scalable experiences will drive the rise of the experience economy.

The 22-Year-Old Who Unlocked the Secrets of Ancient Rome

Common Sense with Bari Weiss • 1252 implied HN points • 16 Feb 24
🕹 Technology AI Competition Innovation
  1. The Vesuvius Challenge offered a $1 million prize for decoding ancient scrolls, sparking interest in AI deciphering
  2. Luke Farritor won a prize for using AI to read an Epicurean work of criticism on a scroll from the Villa dei Papyri
  3. Deciphering ancient scrolls has the potential to reshape our understanding of the ancient world and rewrite assumptions about history

Notebook: Bad News Day

Book Post • 628 implied HN points • 28 Jan 24
📰 News Journalism Local news Media industry AI Advertising
  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.

When the Mac was a Munition

Pessimists Archive Newsletter • 648 implied HN points • 24 Jan 24
🕹 Technology Computing History Regulation Innovation AI
  1. The US government classified the Power Mac G4 as a super-computer due to its computing power surpassing 1 GIGAFLOP.
  2. In 1979, a GIGAFLOP was seen as powerful and scary, but now we carry thousands of GIGAFLOPs in our pockets with modern devices.
  3. The marketing genius of Apple used the munition classification of the G4 to promote it as a 'Personal Supercomputer', leveraging the restrictions to market the product.

🚘 Tesla: AI & Robotics

How They Make Money • 628 implied HN points • 26 Jan 24
🕹 Technology AI Robotics Automotive Electric Vehicles
  1. Elon Musk envisions Tesla becoming the most valuable company in the world, emphasizing the need for flawless execution.
  2. Elon Musk wants to increase his voting control at Tesla to focus on expanding AI and robotics initiatives.
  3. Tesla's recent earnings report highlights challenges such as missed expectations in Q4 FY23 and a slowdown in vehicle sales, along with key financial metrics like revenue growth and margin trends.

WeKnow-RAG

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 16 Aug 24
🕹 Technology AI Data science Machine Learning Natural Language Processing Information Retrieval
  1. WeKnow-RAG uses a smart approach to gather information that mixes simple facts from its knowledge base with data found on the web. This helps improve the accuracy of answers given to users.
  2. This system includes a self-check feature, which allows it to assess how confident it is in the information it provides. This helps to reduce mistakes and improve quality.
  3. Knowledge Graphs are important because they organize information in a clear way, allowing the system to find the right data quickly and effectively, no matter what type of question is asked.

AI: Notes From The Dark Side

So Here’s a Thing • 1160 implied HN points • 02 Apr 23
🕹 Technology AI Art Prose TV Creators
  1. Implications of AI for news and our perception of the world include the rise of fake photos and deepfake videos, requiring critical thinking and fact-checking.
  2. AI in art poses challenges in distinguishing real works from fakes and may alter how artists maintain their catalogues to differentiate their genuine creations.
  3. The importance of human intent and meaningfulness in creation, questioning what AI-created content lacks in terms of emotional depth and personal connection.

China will Catch up in Generative AI in 2024

AI Supremacy • 569 implied HN points • 06 Feb 24
🕹 Technology AI Artificial Intelligence Asia Generative AI Cloud Services
  1. China is advancing rapidly in Generative AI and is set to catch up with the U.S. by 2024.
  2. China is approving numerous large language models and enterprise applications in AI, showing its commitment to AI innovation.
  3. The tech competition between China and the U.S. intensifies as China aims to lead in Generative AI with a focus on AI regulation and product advancements.

20250202

Curious futures (KGhosh) • 8 implied HN points • 02 Feb 25
🕹 Technology AI Design Environment Politics Media
  1. AI technology is becoming so advanced that it's hard to tell machines from real people. This change makes us think about how we interact with non-human agents like AI.
  2. Communities are blending tech and nature, like having tiny forests in cities and 3D-printed shoes, showing a new lifestyle that values both innovation and the environment.
  3. There are ongoing debates about freedom of speech and how much control companies should have over what we can say online. These discussions reflect our concerns about the future.

Who to read to keep up with AI

Meaningness • 698 implied HN points • 06 Jan 24
🕹 Technology AI Blog Authors Future
  1. The post recommends three different authors to read to stay updated on AI: Zvi Mowshowitz, Arvind Narayanan, and Jon Stokes.
  2. Each of these authors brings a unique perspective to the discussion on AI, covering different aspects and opinions on the future of AI.
  3. The authors fall into different quadrants regarding their views on AI's future, touching on varying levels of power, impact, and potential risks in the field.