The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

The best blog posts of 2023

{grow} by Mark Schaefer • 19 implied HN points • 04 Jan 24
💼 Business AI
  1. The selection of the best blog posts of 2023 was determined by the number of page views.
  2. The top themes of the year were AI and Gen Z.
  3. Several posts delved deep into topics like AI marketing strategy, community-based marketing, and social media addiction.

Here's How Generative AI Can Fix The News

jonstokes.com • 164 implied HN points • 15 Jun 23
🕹 Technology AI
  1. Generative AI has the potential to revolutionize the media industry and improve the quality of news stories.
  2. AI can streamline the news reporting process by assisting with drafting, editing, and formatting content.
  3. Creating AI-powered tools for editing, production, art, and promotion can enhance storytelling and make news creation more accessible.

Open LLM company playbook

Democratizing Automation • 126 implied HN points • 01 Nov 23
🕹 Technology AI
  1. To succeed as an open LLM company, have a specific niche and positioning strategy.
  2. Training high-quality models is essential for adoption and success in the market.
  3. Interacting with the community, releasing model weights, and benchmarking against closed models can lead to improved products, crowdsourced evaluations, and better public relations.

Using AI in education, Part 1

Solresol • 19 implied HN points • 12 Dec 23
🚌 Education AI
  1. Consider using AI for translating educational materials to make learning more accessible to students with different language backgrounds.
  2. Engaging students by providing educational content in their native language can improve their learning experience and motivation.
  3. Discuss the evolving importance of improving English fluency versus providing education in native languages to cater to global diversity.

AI Roundup 100: CES

Artificial Ignorance • 37 implied HN points • 10 Jan 25
🕹 Technology AI
  1. Nvidia announced exciting new AI technologies at CES, including a personal AI supercomputer and improved GPUs, which shows they are leading in AI development.
  2. Meta is testing AI-generated features that mimic users and create AI versions of photos, but many users are not happy about these changes.
  3. AI adoption among programmers is still slow and many doubt its effectiveness, but there is a lot of potential for improvement and speed gains.
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AI as the Worst Parasocial Relationship

From the New World • 177 implied HN points • 06 May 23
🕹 Technology AI
  1. AI can displace problems with lesser problems in various aspects of life, including machine learning and relationships.
  2. AI's ability to mass-produce intimate relationships raises concerns, but similar issues already exist in politics and media.
  3. AI's impact on empathy and parasocial relationships leads to discussions on societal values and preferences for real vs. artificial connections.

Did OpenAI create the best weapon detection software available with ChatGPT-4o?

School Shooting Data Analysis and Reports • 4 HN points • 04 Jun 24
🕹 Technology AI
  1. AI weapon detection software struggles to differentiate between weapons and weapon-shaped objects like umbrellas or sticks, leading to issues in accuracy and efficiency.
  2. OpenAI's ChatGPT-4o offers more advanced weapon detection capabilities from image analysis compared to current market options, recognizing context better.
  3. ChatGPT-4o was successful in identifying guns and gun-like objects in various scenarios, showcasing a high level of performance in image classification and context understanding.

What Losing in Open Source AI Means

From the New World • 43 implied HN points • 27 Nov 24
🕹 Technology AI
  1. China is advancing rapidly in open source AI, creating models that are even competing with top American ones. This shows that the US might be falling behind in this area.
  2. The difference in policy is significant, with China actively supporting its open-source community while America is being cautious and restrictive. This could lead to a lost edge in technology for the US.
  3. Open source is essential for spreading AI technology worldwide. Many countries can adapt open source models to fit their needs, which means more innovation and collaboration beyond just big tech companies.

The Gamers, the Breakers and the Legal Moat Makers of AI

Future History • 130 implied HN points • 14 Oct 23
🕹 Technology AI
  1. AI doomsday scenarios are overhyped and unrealistic, fueled by fear-mongering for profit.
  2. Open source AI is crucial for innovation and accessibility, standing against attempts to monopolize AI development.
  3. Beware of those seeking to control AI through regulations, aiming to create monopolies and stifle competition.

What 1,250 Workers Really Think About AI (And Why You’re Probably Lying to Yourself)

The Product Channel By Sid Saladi • 3 implied HN points • 07 Dec 25
🕹 Technology AI
  1. There’s a big perception gap: people say AI mostly augments them, but actual behavior shows heavy automation, so you must measure real usage not just ask users.
  2. Social stigma makes many professionals hide their AI use, which skews adoption metrics and creates workplace theater, so design for disclosure comfort and respect identity.
  3. Different professions treat AI differently — creatives want control and pride, scientists want trustworthy, explainable partners, and general workers want to preserve identity — so segment by professional identity and build transparency and reliability features.

Sorry, But A.I. Doesn't Exist.

The Digital Anthropologist • 19 implied HN points • 09 Dec 23
🕹 Technology AI
  1. Artificial Intelligence (AI) doesn't actually exist as a singular entity, but rather as a collection of various tools and technologies.
  2. While AI tools are important and valuable, they are currently limited to Narrow AI, meaning they excel at specific tasks but lack overall intelligence.
  3. Understanding the reality of AI, including its limitations and the motivations behind the hype, is crucial for regulation, governance, and innovation in the field.

sunday evening musings

bad cattitude • 95 implied HN points • 25 Feb 24
🕹 Technology AI
  1. AI presents a complex future - it may liberate or enslave humanity, enabling creativity or trapping us in repetitive cycles.
  2. Binary thinking about AI may limit us - we should consider broader possibilities beyond our current understanding.
  3. The future with AI will be an unpredictable and exciting journey - filled with promise, danger, aspiration, and frustration, much like a thrilling road trip.

The humanoid space is going crAIzy!

Robots & Startups • 39 implied HN points • 25 Mar 23
🕹 Technology AI
  1. Big-data analytics firm Databricks has open-sourced a new AI model that rivals ChatGPT with impressive speed and efficiency.
  2. The AI model was trained in less than three hours on a single machine, requiring far less data compared to other models.
  3. The field of generative artificial intelligence is continuously evolving with advancements like these, showcasing the rapid progress in AI technology.

Big tech x Generative AI

Tanay’s Newsletter • 170 implied HN points • 16 May 23
🕹 Technology AI
  1. Microsoft is making strides in Generative AI with Azure x OpenAI services and AI integration in various applications.
  2. Meta focuses on AI recommendations, new experiences, and an open approach to AI models and tools.
  3. Google aims to reimagine core products with AI, offering infrastructure, search enhancements, and AI-based applications.

Portubots and Englifleshes: Why comparative advantage won't ensure humans always have jobs

Philosophy bear • 92 implied HN points • 16 Mar 24
📖 Philosophy AI
  1. Comparative advantage theory doesn't guarantee that humans will always have jobs, even if robots are better at everything.
  2. In a world where robots excel at tasks, they will specialize in areas of greater efficiency, leaving tasks with smaller disadvantages for humans.
  3. Human labor being displaced by machines poses challenges, and comparative advantage alone may not ensure employment for humans in all scenarios.

Can I talk to an AI, please?

Generating Conversation • 46 implied HN points • 07 Nov 24
🕹 Technology AI
  1. AI products require users to change their mindset. Instead of expecting a perfect answer right away, users learn to work with AI to get better results over time.
  2. AI doesn't just replace existing tasks; it creates new opportunities. Users can now ask AI to do many things that were difficult or time-consuming before.
  3. Using AI tools gives valuable insights into user behavior. Users feel more comfortable asking simple or repetitive questions that they wouldn't ask a human, providing helpful data for improving the product.

📽 Webinar: Building AI Agents with Fine-tuned SLMs

TheSequence • 35 implied HN points • 20 Jan 25
🕹 Technology AI
  1. The webinar will showcase how Marsh McLennan used AI agents to improve their business, saving a lot of time and effort for their staff.
  2. Participants will learn about different ways to enhance AI performance and how to achieve better accuracy with specialized models.
  3. The session will also include tips on scaling AI solutions and a live demonstration of the tools in action.

OpenAI, Humane and Apple's Shadow

SatPost by Trung Phan • 122 implied HN points • 11 Nov 23
🕹 Technology AI
  1. OpenAI introduced GPT-4 Turbo and GPT Builder for creating AI agents.
  2. Apple excels in technology interfaces and is working on generative AI offerings.
  3. Humane, founded by ex-Apple designers, created the AI Pin as a new AI hardware example.

The Ways Microsoft Security Copilot Can Enhance Security Operations with Microsoft Defender

Rod’s Blog • 19 implied HN points • 07 Dec 23
🕹 Technology AI
  1. Microsoft Security Copilot is an AI-powered security solution that assists security professionals in various scenarios like incident response, threat hunting, intelligence gathering, and posture management.
  2. Security Copilot helps analysts triage alerts, hunt for threats, and generate reports using natural language queries and AI, seamlessly integrating with Microsoft Security products like Microsoft Defender.
  3. The solution leverages plugins and OpenAI architecture to provide wider threat visibility, context, and extended functionalities for security operations.

Undoing RLHF, prompt injection, and the brittle limits of moderating LLMs

Democratizing Automation • 126 implied HN points • 18 Oct 23
🕹 Technology AI
  1. Recent papers challenge the need for safety filters on open LLM weights, suggesting regular releases of parameters.
  2. Fine-tuning LLM safety can be bypassed with minimal supervised examples, raising concerns about robustness.
  3. Moderation in LLMs relates to liability, with Meta emphasizing safety filters in their models, while OpenAI faces challenges due to fine-tuning access.

Fear of Oozification

Breaking Smart • 130 implied HN points • 30 Sep 23
🕹 Technology AI
  1. Oozification, a process driving technological evolution, is making the future less certain and more complex.
  2. Swamps represent evolutionary vigor and the potential for radical change, showcasing the dual nature of stability and destabilization.
  3. All technology undergoes oozification, transforming into more elemental building blocks and increasing evolutionary potential.

Big Tech x Generative AI Q3 '24 Update (Part 2)

Tanay’s Newsletter • 44 implied HN points • 11 Nov 24
🕹 Technology AI
  1. Meta is focusing on open-source AI with the Llama models, claiming they are the most cost-effective and customizable option for developers. They are set to release even better versions soon.
  2. Microsoft’s AI business is booming, especially through their Azure Cloud, with expected revenue surpassing $10 billion. They are integrating AI across many of their products, driving impressive growth.
  3. Both companies are seeing success in using AI to enhance user engagement and advertising effectiveness. Meta has increased user time on their platforms, while Microsoft's AI tools are helping businesses save time and improve efficiency.

Robots And How We’re Socializing Them

The Digital Anthropologist • 19 implied HN points • 06 Dec 23
🕹 Technology AI
  1. Robots are becoming more essential due to global population declines and increasing need for automation in various sectors like healthcare, manufacturing, and military.
  2. Society is changing how robots are perceived, shifting from fear and vilification to acceptance and assistance, through increased visibility in media and toy market.
  3. The way robots are being socialized, presented positively as helpers rather than threats, will play a significant role in their sociocultural acceptance and integration into daily life.

Better Call Geoff

The Ruffian • 172 implied HN points • 06 May 23
🕹 Technology AI
  1. Geoffrey Hinton resigned from Google due to concerns about AI safety
  2. Neural networks are essential in AI advancements
  3. Governments should fund research into AI safety similar to a Manhattan Project

What metastructures might LLMs have?

How the Hell • 68 implied HN points • 29 Jun 24
🕹 Technology AI
  1. LLMs have different layers, like humans do. Lower layers handle basic language, while higher layers form more complex ideas.
  2. These models might develop their own unique structures for understanding visuals, since they don't see like humans do.
  3. There could be even higher layers that aren't just about language but add more complexity. It's still unclear how we might study these structures.

The Sequence Engineering #469: Llama.cpp is The Framework for High Performce LLM Inference

TheSequence • 35 implied HN points • 15 Jan 25
🕹 Technology AI
  1. Llama.cpp is a powerful open-source framework for running large language models efficiently. It helps apps perform better, especially on devices with limited resources.
  2. The framework is based on the Meta's LLaMA model architecture and includes optimizations for different hardware setups. This makes it very flexible for various uses.
  3. By using Llama.cpp, developers can get better performance from their language models, which is essential for creating effective AI applications.

Must Learn AI Security Compendium 17: Cognitive Security

Rod’s Blog • 19 implied HN points • 04 Dec 23
🕹 Technology AI
  1. Cognitive security uses AI and machine learning to improve digital systems' security by automating threat detection and response.
  2. Benefits of cognitive security include faster threat detection, improved decision-making for security professionals, and cost reduction for security operations.
  3. Challenges of cognitive security include new risks, ethical and legal issues, and the need for investments and expertise; organizations should have a clear vision, a trustworthy culture, and embrace innovation to address these challenges.

The Fall and Rise of Science Writing

Asimov Press • 180 implied HN points • 04 Apr 23
🔬 Science AI
  1. Science journalism is shifting towards automation using AI, but there is a potential for a renaissance in science writing led by scientists and physicians.
  2. Current news articles often follow a templated structure rooted in historical newspaper layout practices from the past.
  3. The future of impactful science writing lies in personal experiences and unique perspectives, which AI cannot replicate.

FACEPALM: "Could Dating an AI Be Better Than Dating a Human?"

Tessa Fights Robots • 17 implied HN points • 29 May 25
🕹 Technology AI
  1. Dating an AI might sound fun, but many believe it lacks the real connection you can get from a human. It's important to have authentic relationships with real people.
  2. Some think dating bots is a sign of social engineering, signaling a shift away from meaningful human interactions. This raises questions about our current dating culture.
  3. The internet has a role in shaping how we connect, and some believe it's designed to create a false sense of connection over genuine human energy.

LLM links, 2/27

In My Tribe • 91 implied HN points • 27 Feb 24
🕹 Technology AI
  1. Compound AI systems are proving more effective than individual AI models, showing that combining different components can lead to better results.
  2. Providing extensive context can enhance AI capabilities, enabling new use cases and more effective training through models like Sora.
  3. The emergence of an AI computer virus is predicted to become a major concern, potentially causing widespread panic and technological shutdowns.

Solving The Loneliness Crisis with Technology

Erik Examines • 89 implied HN points • 16 Mar 24
🕹 Technology AI
  1. Humans are feeling more detached and lonely due to technology. We need major societal changes to address this.
  2. Physical interactions are important for social connection. Simple devices like a voice-controlled AI phone could help limit screen time and distractions.
  3. Regulation and design changes for technology can promote healthier habits. A device like a voice-controlled AI phone, focusing on essential functions without a screen, could offer a solution to combat loneliness.

📝 Guest Post: Evaluating LLM Applications*

TheSequence • 91 implied HN points • 11 Mar 24
🕹 Technology AI
  1. Traditional software development practices like automation and testing suites are valuable when evaluating Large Language Models (LLMs) for AI applications.
  2. Different types of evaluations, including judgment return types and sources, are important for assessing LLMs effectively.
  3. A robust evaluation process for LLM applications involves interactive, batch offline, and monitoring online stages to support rapid iteration cycles and performance improvements.

Natural Language Is an Unnatural Interface

Public Experiments • 154 HN points • 27 Jun 23
🕹 Technology AI
  1. Natural language interfaces for AI are challenging due to the vast degree of freedom in text input.
  2. Prompt engineering is crucial for effectively utilizing large language models to ensure correct and meaningful responses.
  3. For most users, interacting with AI systems through buttons and defined interfaces can lead to more efficient and seamless experiences compared to using natural language prompts.

What is RAG?

Technically • 50 implied HN points • 07 Oct 24
🕹 Technology AI
  1. RAG helps make AI models like GPT-4 more personal and accurate by using specific data from users.
  2. By embedding user data directly into models, RAG creates responses that are more tailored to individual needs.
  3. RAG is becoming a common method to improve LLMs, alongside the traditional way of fine-tuning models.

The Sequence Radar #467: NVIDIA AI Software Party at a Hardware Show

TheSequence • 35 implied HN points • 12 Jan 25
🕹 Technology AI
  1. NVIDIA is focusing more on AI software, not just hardware, which was clear at CES. They launched several new AI software products that make it easier for developers to integrate AI into their apps.
  2. The new NVIDIA NIM microservices allow developers to deploy AI capabilities quickly, cutting down deployment times significantly. This is a game changer for companies looking to adopt AI technologies fast.
  3. NVIDIA's new AI Blueprints are templates that help developers create AI solutions efficiently. This means developers can spend more time innovating instead of starting from scratch.

Let's just value OpenAI at infinite money and be done with it

Alex's Personal Blog • 32 implied HN points • 31 Jan 25
🕹 Technology AI
  1. OpenAI's valuation is getting a huge boost, potentially reaching $300 billion. This shows how confident some big investors are about its future.
  2. Major companies like Intel, Apple, and Atlassian are recently reporting their earnings, with some beating expectations while others struggle.
  3. There's a chance of new tariffs on imports from Canada, Mexico, and possibly China, which could impact business hopes and trade relations.

AI Is Coming For Your Children

Shatter Zone • 25 HN points • 20 Jun 23
🕹 Technology AI
  1. Con-men are using AI to flood Kindle with low-quality children's books, which might harm childhood literacy.
  2. AI-written e-books are increasing on platforms like Amazon, enabling rapid production and plagiarism.
  3. AI-generated children's books, lacking empathy and coherence in story and illustrations, may negatively impact young readers' literacy and empathy development.