The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Newsletter #1: Detecting AI with AI

Decoding Coding • 19 implied HN points • 02 Feb 23
🕹 Technology AI
  1. Detecting AI-generated text can be done by analyzing how likely the text is based on minor changes. If a text keeps showing a low probability, it probably came from an AI.
  2. Watermarking is another method, where certain words are purposely biased to make AI writing unique. If those specific words show up often, it's a sign that the text was generated by an AI.
  3. As AI tools become more popular, it's important to develop better detection methods to prevent cheating and ensure fair use in writing and academics.

Once more unto the breach...

davidj.substack • 71 implied HN points • 01 Mar 23
🕹 Technology AI
  1. Automating simple data requests can save time and effort in data analysis workflows.
  2. Effective self-serve BI tools require reliable data pipelines, transformation processes, and a semantic layer.
  3. Text-to-SQL tools can improve automation but may require caution due to potential errors and lack of trust in results.

The New Startup Pricing Playbook, with Kyle Poyar

Good Better Best • 4 implied HN points • 01 Aug 25
💼 Business AI
  1. AI startups need to talk about pricing early. It's better to know what customers value before you launch than to guess later and face backlash.
  2. Pricing models aren't one-size-fits-all. Each model has its pros and cons, so it's important to understand what works best for your product and your customers.
  3. SaaS companies should focus on what their software actually does, not just what it stores. Providing actionable results is key to staying competitive.

Seeing isn't always believing: video edition

Conspirador Norteño • 36 implied HN points • 17 Feb 24
🕹 Technology AI
  1. The advancement of text-to-video generative AI like Sora raises concerns about deceptive video content, introducing the concept of the "liar's dividend."
  2. Despite impressive quality, AI-generated videos by Sora exhibit anomalies that reveal their synthetic origins, such as sudden appearance and disappearance of objects.
  3. While AI-generated videos can be photorealistic, they often contain telltale signs of synthetic generation, cautioning against an excessive distrust of all videos and emphasizing the long-standing history of manipulating video content.

Another Brick In The Wall

Gradient Ascendant • 16 implied HN points • 19 Nov 24
🕹 Technology AI
  1. AI models are hitting a point where progress is slowing down. This means that just getting more data or tweaking algorithms might not lead to big breakthroughs anymore.
  2. Even if AI isn't changing dramatically right now, it's still a useful tool for many people. Startups in this space might find it easier to succeed without the threat of a huge game-changing model wiping them out.
  3. With the slowdown in AI development, concerns about AI risks might lessen. Policymakers will have to address how people continue using current chatbots, even with their flaws.
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The Nerdiest Possible Way to Make Sourdough

Tim's Tech Things • 2 HN points • 09 May 24
🕹 Technology AI
  1. Creating a healthy sourdough starter involves feeding it with flour and water until it's ready to use in baking, which contributes to the delicious taste and texture of the bread.
  2. Monitoring the rise of sourdough starter is crucial to ensure there are enough active yeast cells to create CO2 bubbles, which make the bread light and fluffy.
  3. Using computer vision with Python, ffmpeg, and algorithms like rolling averages and derivatives can help automate the process of determining when sourdough is ready for baking.

Today is riskier than tomorrow

do clouds feel vertigo? • 19 implied HN points • 12 Mar 23
🕹 Technology AI
  1. Today brings a lot of risks and distractions due to the rapid changes in AI, making it harder to keep up. People often feel lost or overwhelmed by all the new possibilities.
  2. Having clear intentions and the ability to ask the right questions is becoming very important with AI tools. It's not just about using them, but knowing how to make the most of them.
  3. The future of creativity may involve more collaboration between people and AI. Instead of one-on-one interactions, we might see team-based conversations that bring ideas together in new ways.

Maze: A Different Type of Security Company

Why Now • 6 implied HN points • 11 Jun 25
🕹 Technology AI
  1. Maze has recently raised $25 million in a Series A funding round and is already used by Fortune 500 companies, showing early success in the cybersecurity space.
  2. The number of software vulnerabilities is growing quickly, with a drop in the average time it takes for these vulnerabilities to be exploited. This means businesses need to stay ahead of the threats.
  3. Due to a lack of data on vulnerabilities, companies may need to look for new ways to access information. This situation could open up opportunities for new solutions in vulnerability management.

These Are The Challenges When Creating A LLM Based Conversational Interface

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 01 Mar 23
🕹 Technology AI
  1. Creating conversational interfaces with language learning models (LLMs) is tricky because the responses can be very different each time. This makes it hard to keep conversations flowing smoothly.
  2. If you change something small in the middle of a conversation, it can mess up everything that comes after. This makes planning the conversation a bit complicated.
  3. As these chatbots get more complex, we can use groups of connected steps to manage the conversation better. Future tools might make it easier for people to design these conversations without coding.

AI and Humanity's Future

Daniel Pinchbeck’s Newsletter • 5 implied HN points • 03 Jul 25
🕹 Technology AI
  1. The rise of AI brings both exciting opportunities and serious risks. We need to understand how it can help us and how it might hurt us.
  2. It's important to actively engage with AI technology. Learning how to use it can enhance our lives and creativity.
  3. There are big questions about the future with AI, like job loss and the nature of consciousness. We need to think carefully about these issues.

Meta Updated Threads API, Wallarm $50M, Salt Surface

The API Changelog • 4 implied HN points • 04 Aug 25
🕹 Technology AI
  1. Meta has improved its Threads API with new features like interactive polls and better analytics tools for developers.
  2. Wallarm raised $50 million to enhance its API security platform, focusing on protecting against AI-related threats.
  3. Anthropic stopped OpenAI from using its Claude models due to what it claims was misuse, highlighting tension in the AI industry.

E2- Basics of Large Language Models for Product Managers 🤖

The Product Channel By Sid Saladi • 16 implied HN points • 17 Nov 24
🕹 Technology AI
  1. Large language models (LLMs) are special AI systems that understand and generate human language. They can do things like summarize texts, translate languages, and even write codes.
  2. LLMs are changing many industries by powering chatbots, helping create content, and giving personalized product recommendations. This makes services smarter and more helpful.
  3. Building custom LLMs requires a lot of money and data. Companies must invest millions and gather vast amounts of information to develop effective models.

one with the machine

alice maz • 65 implied HN points • 07 Apr 23
🕹 Technology AI
  1. The computer should act less like a tool and more like an assistant, handling tasks based on your instructions.
  2. Computers should understand your intent and help find information in response to vague requests or half-formed thoughts.
  3. Being able to communicate with the computer in a natural dialogue is essential to achieving the first two points and creating a universal interface.

UX Roundup: OpenAI Product Roadmap | Parallel and Iterative AI Use | Virtual Boyfriends | Jakob in SF | Dropdown Menus | Early GUI | AI Urgency | Perplexity Deep Research

Jakob Nielsen on UX • 11 implied HN points • 17 Feb 25
🕹 Technology AI
  1. Grok 3 is about to launch and promises to be a smarter AI. It’s important to compare it with future models like GPT-5 to see how much better they become.
  2. OpenAI has simplified their product naming, making it easier to understand what each version offers. GPT-5 will also come with better features for users who pay for a subscription.
  3. The way we use AI in creative work can really boost quality. Using multiple models and refining ideas helps combine the best outcomes, making it a collaborative tool not just a replacement.

Will AI replace my job?

Tech Ramblings • 19 implied HN points • 26 Mar 23
🕹 Technology AI
  1. AI is creating a lot of buzz, but many predictions about it replacing jobs might be exaggerated. It's true that some industries are changing, but it's not going to happen overnight.
  2. While AI technology has potential, it will take time to see its real effects in the workplace. Companies need to create products that actually add value with AI.
  3. Instead of replacing jobs, AI is likely to make many jobs easier and more efficient, just like calculators helped accountants without taking their jobs away.

The No True AI Fallacy

Polymathic Being • 46 implied HN points • 08 Oct 23
🕹 Technology AI
  1. Be cautious of constantly changing the criteria for what constitutes 'real AI'
  2. Avoid over-attributing capabilities to AI and focus more on what makes us human
  3. Critical thinking about AI development is a human superpower that we should leverage

Ape to API

10-year Horizon • 19 implied HN points • 01 May 23
🕹 Technology AI
  1. API versions of AI tools have vast potential for software integration.
  2. Software development could shift to more implicit programming with the rise of Intelligence APIs.
  3. Tradeoffs in AI models include response time, accuracy, and the context window size.

Why AI is Entering The Disruption Phase

The Digital Anthropologist • 19 implied HN points • 07 Jan 23
🕹 Technology AI
  1. Artificial Intelligence is entering a disruptive phase and will revolutionize industries and societies through technologies like Generative AI and tools like ChatGPT and DALL-E 2.
  2. Technological advancements, especially in AI, are reshaping traditional systems and societal norms globally, leading to significant changes in business models and cultural elements.
  3. AI technologies like ChatGPT are starting to disrupt markets, leading to financial investments and wealth generation, but they also come with challenges of job loss and changes in existing systems.

E1- Introduction to General AI for Product Managers 🤖

The Product Channel By Sid Saladi • 16 implied HN points • 10 Nov 24
🕹 Technology AI
  1. AI is changing how products are made and used. Product managers need to understand AI to stay ahead in their industry.
  2. There are many AI applications, like chatbots and recommendation systems, that can improve user experience. Learning about these tools can help product managers create better products.
  3. While AI has benefits, it also brings risks like bias and job losses. It's important for product managers to think about these issues and apply AI responsibly.

ChatGPT’s Dark Mystery Revealed

Sector 6 | The Newsletter of AIM • 19 implied HN points • 25 Jan 23
🕹 Technology AI
  1. ChatGPT Pro costs $42 a month, which seems odd as it's an even number. Most prices are set to make them look more appealing, usually odd numbers.
  2. The reason for the price of $42 is linked to a science fiction book called 'The Hitchhiker's Guide to the Galaxy'.
  3. In the book, 42 is humorously presented as the answer to the ultimate question of life, making the price choice fun and memorable.

Anthropological Intelligence

Gradient Ascendant • 13 implied HN points • 30 Dec 24
🕹 Technology AI
  1. Many tech startups are not really pushing new technology; they're mostly testing if people will use what already exists in new ways. Uber and AirBnB combine known tech in ways that challenge social norms.
  2. AI startups are even more focused on understanding user relationships with technology. It's still unclear how people want to use AI, making early experiments tricky.
  3. The success of AI startups might depend not just on the technology but also on user appeal. AI that feels more charming or relatable might win out over others, even if the tech is similar.

How Modern AI Arose Accidentally

Erik Explores • 61 implied HN points • 21 Apr 23
🕹 Technology AI
  1. Modern AI systems like ChatGPT and Stable Diffusion arose from solving small, narrowly defined problems.
  2. Today's AI systems are more of an emergent phenomenon rather than meticulously planned for general intelligence.
  3. The key to AI advancements lies in simple, iterative processes based on statistics and probabilities.

Wrath of the AI-Zilla

SAURABH SAHA • 11 implied HN points • 04 Feb 25
🕹 Technology AI
  1. Many people feel confused and scared about AI, especially since its rapid growth began in 2022. Some workers worry their jobs might become obsolete due to new technologies.
  2. Only a small percentage of people truly understand AI and how to build its applications. Most people just use AI tools without knowing how they work under the hood.
  3. As AI continues to advance, it could create a divide between those who know how to work with it and those who don't, leading to fewer job opportunities for many and greater wealth for a select few.

Society's Technical Debt and Software's Gutenberg Moment

Irregular Ideas with Paul Kedrosky & Eric Norlin of SKV • 63 HN points • 21 Mar 23
🕹 Technology AI
  1. Every wave of technological innovation is triggered by something once costly becoming cheap enough to waste.
  2. Software production has been too complex and costly, leading to society-wide technical debt.
  3. The cost and complexity of software production are collapsing, leading to a dramatic wave of innovation with AI playing a significant role in reshaping the software industry.

Cloud, Data, AI, GenAI

Laszlo’s Newsletter • 37 implied HN points • 03 Jan 24
🕹 Technology AI
  1. Cloud computing provides flexibility in resources and enables experimentation without high upfront costs.
  2. Establishing a strong data stack is crucial before implementing AI/GenAI to ensure data quality and reliable insights.
  3. Traditional AI involves well-defined tools for extracting business-relevant information from data, while generative AI like Prompt Engineering and Finetuning require sophisticated infrastructures and specific business goals.

The Cobus Quadrant™ Of Conversation Design Capabilities

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 09 Feb 23
🕹 Technology AI
  1. Conversation design focuses on creating the flow of dialogue between users and AI. It’s about defining how users interact and how responses are managed.
  2. Different AI platforms offer unique features for conversation design, like dialog flow management or visual design tools. Some tools are easier to use while others provide more advanced capabilities.
  3. Keeping the user experience in mind is crucial for successful conversation design. Understanding what the user needs helps to create smoother and more effective interactions.

Stay inconvenienced

sémaphore • 1 implied HN point • 28 Nov 25
🎭️ Culture AI
  1. Some spaces and tools offer a steady, nonjudgmental presence that lets you speak freely and feel seen without requiring anything in return.
  2. Real human empathy involves a cost: people are changed, inconvenienced, and carry the burden of others’ pain, and that willingness to be altered is what makes relationships meaningful.
  3. Perfect listeners can meet the need to be heard, but they also highlight that to truly matter you need someone who risks being changed by you, which is what keeps human connection irreplaceable.

Would you like a robot companion or a konpanion?

Robots & Startups • 1 HN point • 22 Jun 24
🕹 Technology AI
  1. Naming a robot company or product requires careful consideration for SEO and international appeal.
  2. The significance of choosing culturally appropriate and well-translated product names is crucial, as demonstrated by several major brands' mishaps.
  3. Investors have been interested in beauty, skincare, and haircare startups, which have shown resilience through effective marketing strategies like TikTok and celebrity endorsements.

20250727

Curious futures (KGhosh) • 4 implied HN points • 27 Jul 25
🕹 Technology AI
  1. There's a new project called CC signals aimed at creating a fairer AI system. It encourages sharing and benefits everyone instead of just a few.
  2. Creativity and imagination are super important in shaping our future. They help us push back against the negative impacts of technology.
  3. Cities are starting to take control back from big tech, like Lyon switching to open-source software. This shows there's hope for a more independent and creative digital life.

Can We Prevent LLMs From Hallucinating?

Brett DiDonato • 3 HN points • 21 Mar 24
🕹 Technology AI
  1. Preventing LLMs like ChatGPT from hallucinating entirely is a challenge, but technological advancements are helping reduce hallucination rates.
  2. Techniques such as using better models, retrieval augmented generation (RAG), larger context windows, and improved grounding can significantly reduce model hallucinations.
  3. Hallucinations in large language models are caused by the autoregressive nature of the models and the lack of logical grounding, but advancements in model quality and techniques are making complex AI applications more feasible.

The A.I. Bloodhounds Are on My Trail

I Might Be Wrong • 11 implied HN points • 30 Jan 25
🕹 Technology AI
  1. A new AI chatbot called DeepSeek is improving and could be a threat to writers. It shows a better grasp of comedy than previous AI versions, making some writers concerned about their future.
  2. The AI's attempts at humor mimic certain styles but still struggle with logic and factual accuracy. It can copy formats and jokes, but often misses the mark on meaningful analysis.
  3. Despite the AI's growing capabilities, it lacks a true understanding of context or truth, which means human writers still have an edge when it comes to creating content that makes sense.

Into the Universe of Technical Images

Never Met a Science • 38 implied HN points • 12 Dec 23
🕹 Technology AI
  1. Deleting social media accounts can lead to feeling much better mentally and emotionally.
  2. Transitioning from written content to technical images can be a powerful way to communicate complex ideas.
  3. Exploring new mediums like video lectures can enhance the reach and impact of academic research beyond traditional formats.

Banning ChatGPT: Is It Like Banning the Internet?

Sector 6 | The Newsletter of AIM • 19 implied HN points • 10 Jan 23
🕹 Technology AI
  1. Banning ChatGPT is a growing trend due to ethical worries, but it raises questions about whether it's really necessary. Many places like schools and forums are choosing to restrict its use.
  2. The internet faced similar issues in the past, especially around plagiarism, but it evolved rather than disappeared. This led to the creation of tools like Turnitin to help check for copied content.
  3. Instead of banning technologies like ChatGPT, finding ways to manage and guide their use might be more effective, similar to how the internet adapted and created new industries.

Stable Point Aware 3D, Cosmos, Autonomous game characters and Digits by Nvidia, Qwen Chat, Hailuo's Subject Reference, rStar-Math, Text-to-Video gen with Transparency, Cohere's North, STAR, & more

AI Brews • 12 implied HN points • 10 Jan 25
🕹 Technology AI
  1. Stability AI has released a new tool called Stable Point Aware 3D, which lets you edit 3D objects from just one image really quickly. It's free to use for everyone.
  2. Microsoft has made its Phi-4 model open-source and introduced rStar-Math, a new technique that improves math solving in smaller language models.
  3. Qwen Chat is a new web app allowing users to interact with various Qwen models, making it easy to compare their capabilities all in one place.