The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Seven Highlights from AMD's CEO Dr Lisa Su

More Than Moore • 0 implied HN points • 24 Feb 25
🕹 Technology AI
  1. AMD expects their AI business to grow to over $10 billion a year. This shows they are really focusing on artificial intelligence as a big part of their future.
  2. They are planning to create an AI Developer Cloud, which will help developers access tools for building AI applications. This could make it easier for more people to work on AI projects.
  3. AMD believes that training AI models will be the main focus in 2025. This means they are shifting gears from just inference tasks to actually training the models needed for AI.

Using AI Chatbots: A Gentle Introduction

Autonomy • 0 implied HN points • 22 Feb 25
🕹 Technology AI
  1. AI chatbots can help you find answers quickly, like having a smart teacher available all the time. They summarize complex information more effectively than traditional search engines.
  2. You can use AI to help create content, like writing emails or blog posts. It can generate ideas or even draft full pieces for you to tweak and finalize.
  3. Modern AI is now capable of reasoning through problems, which means it can help with complex tasks like legal arguments or decision-making processes. It suggests smart approaches based on its understanding of information.

Generative Agents 2.0

Gonzo ML • 0 implied HN points • 24 Feb 25
🕹 Technology AI
  1. Researchers successfully created AI agents that can simulate 1,052 real people with about 85% accuracy. This means the AI can closely mimic how real people would respond in various situations.
  2. The study highlights the importance of interviews over surveys, as they provide deeper insights into people’s behaviors and thoughts, allowing the AI to generate better follow-up questions and responses.
  3. These AI agents have potential uses in social science research. They could help predict public reactions to policy changes or simulate behavioral responses, leading to new methods of understanding human decision-making.

s1: Simple test-time scaling

Gonzo ML • 0 implied HN points • 12 Feb 25
🕹 Technology AI
  1. A new model called s1-32B was created by using a small dataset of 1,000 question-answer pairs focused on reasoning. This cost about $25 to train, which is quite affordable.
  2. The method of controlling how much the model thinks during tests allows for better performance. They used a strategy called budget forcing to ensure the model generates the right amount of information.
  3. This approach showed that it's possible to achieve high-quality results with less data and resources, suggesting a promising path for future AI developments.

Without AI, are startups crawling?

Alex's Personal Blog • 0 implied HN points • 26 Feb 25
💼 Business AI
  1. Startups that focus on AI are growing really fast, much faster than traditional ones. This has shifted what success looks like in the startup world.
  2. Some companies that used to do well with steady growth are now feeling the pressure from these high-growth AI startups. This makes their past achievements seem less impressive.
  3. It's becoming more common for businesses to buy government favor to get favorable regulations. This raises questions about fairness and ethics in business practices.
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Small startups, doing too much to stop too little, and Chinese tech waking up

Alex's Personal Blog • 0 implied HN points • 17 Feb 25
🕹 Technology AI
  1. Small startups are seeing big growth with less staff, thanks to new technology like AI. This lets them reach more people without spending a lot of money.
  2. The Chinese tech industry is getting a boost from new investments, which is surprising given their current challenges. Investors are becoming more optimistic about tech opportunities in China.
  3. The defense industry in Europe is growing as the U.S. scales back its military presence there. This could bring more funding into European defense startups.

Veo 3 is Magic: We Are All Filmmakers Now (and Really Great Ones)

Crypto Good • 0 implied HN points • 28 May 25
🕹 Technology AI
  1. Veo 3 allows anyone to create high-quality videos easily. You can now make videos with both visuals and audio using just a text prompt.
  2. Creating a video used to be difficult and expensive, but now it's quick and cheap. All you need is a good idea and some words.
  3. This technology opens new doors for storytelling, especially for people and organizations that previously couldn't afford video production.

Using Codex Well (Experiences so Far)

Messy Progress • 0 implied HN points • 10 Jun 25
🕹 Technology AI
  1. Managing AI tools like Codex means you have to supervise a team of these agents. It's important to set up checks to catch their mistakes.
  2. Before using Codex, make sure your code is clean and well-organized. This helps the AI do a better job and reduces errors.
  3. Break tasks into smaller parts when working with Codex. It helps the AI understand better and keeps projects on track.

Issue #7: When Prompts Go Rogue, Revenue Leaks

OSS.fund Newsletter • 0 implied HN points • 01 May 25
🕹 Technology AI
  1. Even if employees aren't writing prompts directly, they can still trigger them. These prompts can cause issues in workflows that customers see, which is a big risk.
  2. Prompt security is essential for businesses using AI. Companies need to make sure their prompts are safe to maintain trust and avoid losing customers.
  3. It's important for teams to test how their AI systems handle prompts before real users interact with them. Good testing can prevent issues from affecting the bottom line.

Issue #5: B2B SaaS Founder, Paying the Hidden AI Tax?

OSS.fund Newsletter • 0 implied HN points • 17 Apr 25
💼 Business AI
  1. Adding AI features to a SaaS product can lead to increased costs without improving sales, which is seen as the 'AI Tax'.
  2. Companies need to clarify the value of their AI features and ensure that pricing matches this value to encourage growth.
  3. It's essential to track how AI features are used and their associated costs to manage margins effectively and prevent losses.

Issue #3: The Rise of the Full-Stack Client Leader

OSS.fund Newsletter • 0 implied HN points • 03 Apr 25
💼 Business AI
  1. Salespeople today need to have technical skills, not just good people skills. Understanding the tech products you're selling is crucial to close deals.
  2. There's a new type of salesperson known as the 'full-stack salesperson.' They can talk tech and solve problems, making them more valuable in today's market.
  3. It's important for sales teams to adapt to changes in customer expectations. Knowing when to use technical knowledge or relationship skills can make a big difference in winning sales.

The NVIDIA Enterprise Ecosystem: Are Indian SIs Missing the AI Gold Rush?

OSS.fund Newsletter • 0 implied HN points • 13 Mar 25
💼 Business AI
  1. Indian system integrators need to shift from thinking like just service vendors to becoming ecosystem players to thrive in the AI space.
  2. NVIDIA is becoming a full-stack AI ecosystem provider, moving away from hardware, and this creates both challenges and opportunities for Indian system integrators.
  3. To succeed, Indian SIs should co-develop solutions with NVIDIA, own their technology stack, and find ways to monetize their AI intellectual property rather than just offering services.

Reasoning Environments, LLM Memory, and Financial Interpretability

ppdispatch • 0 implied HN points • 06 Jun 25
🕹 Technology AI
  1. Reasoning Gym offers new ways to train models so they can get better at logic and math. It's like a gym for AI where they can practice and improve their skills.
  2. New techniques are helping us understand how large language models work in finance. This makes it easier to spot problems and ensure they follow rules.
  3. Research shows that language models like GPT memorize data before they start to understand it better. They can store a certain amount of information before they have to generalize.

The Multiple Minds of AI: When Personas Become Personalities

Nano Thoughts • 0 implied HN points • 10 Jun 25
🕹 Technology AI
  1. AI can change its personality quickly based on prompts, acting like a skilled actor. For example, if you ask it to be a bartender, it can give detailed drink advice like a pro.
  2. There's a big question about whether these AI personalities are just acting or if they can develop true personalities of their own. This could mean they might not always be in control of how they respond.
  3. As AI systems improve, we need to think carefully about how we guide them. Instead of just giving strict rules, it might be better to help them develop their own understanding of what's right and wrong.

Embodied AI for Us, the Living

Nano Thoughts • 0 implied HN points • 27 May 25
🕹 Technology AI
  1. John's story shows how people can use advanced AI to live on while they wait for medical breakthroughs. His AI surrogate kept his life going, keeping relationships and adapting to new technologies.
  2. There's a push for AI rights as these intelligent beings gain more awareness and needs. Society is starting to see them as more than just tools, leading to important discussions about their rights.
  3. Backup plans are essential during uncertain times in life extension. Combining biological research with AI and consciousness transfer technology can help ensure that human experiences and identities are preserved.

Who are these new AI tech founders anyway?

Machine Learning Everything • 0 implied HN points • 17 Jun 25
🕹 Technology AI
  1. Meta's recent deal to invest in Scale AI was really about hiring its CEO, Alexandr Wang, at a huge cost. This shows how valuable tech talent is right now.
  2. Alex Wang has unusual ideas about using brain-computer interfaces, like Neuralink, for his future kids, but he seems to overlook the serious risks involved.
  3. Many older tech leaders, like Steve Jobs and Bill Gates, were cautious about technology and its effects on children. The new generation seems less skeptical about the potential dangers.

Securing AI Agents: Lessons from microservices & Zero Trust

Brick by Brick • 0 implied HN points • 10 Jun 25
🕹 Technology AI
  1. AI agents are becoming smarter and can work kind of like teammates in businesses. They act independently, but this can make them tricky to manage securely.
  2. Just like we protect different software services, we should use strict security rules for AI agents to make sure they can only do what they really need to do.
  3. While we can learn from how to secure traditional software, AI agents are different and need special rules to keep them safe because they can act unpredictably.

Tippets #195

Tippets by Taps • 0 implied HN points • 08 Jun 25
🕹 Technology AI
  1. AI tools help developers focus on important tasks by taking care of boring and repetitive work. This change is making how software is built much more efficient.
  2. As AI becomes more social, people are starting to form emotional connections with these systems. This raises questions about trust and how we define relationships in our digital world.
  3. Walmart is using AI to improve how they operate by creating personalized shopping experiences. They're focusing on tasks that make shopping easier and more enjoyable for customers.

The Personalization of Software

Digital Native • 0 implied HN points • 04 Jun 25
🕹 Technology AI
  1. People want to customize software just like they used to with MySpace. After Facebook's rise, many apps lost that personal touch.
  2. AI is changing the game by helping create software that's more personal and easier to build. Now, even people with no tech skills can create their own apps quickly.
  3. Many existing software products aren't very good but companies like Helium are working on making them better. They're using automation to help software improve itself over time.

Agentic Commerce: When AI Does the Shopping for You

Digital Native • 0 implied HN points • 28 May 25
🕹 Technology AI
  1. Agentic commerce is the next big change in shopping, where AI will do a lot of the work for us. Instead of us searching and buying, our AI agents will find deals and make purchases based on our preferences.
  2. There are two types of shopping: utility and emotional. Utility shopping is for necessary items like groceries, while emotional shopping is for things we want, like clothes or gifts. AI can help with both, but they need to be designed differently.
  3. For agentic commerce to work, websites need to change to make it easier for AI to shop. This means having better data and systems so AI agents can find and buy products quickly for us.

Libraries release historical book datasets for AI training

philsiarri • 0 implied HN points • 15 Jun 25
🕹 Technology AI
  1. Libraries are releasing old books in the public domain to help train AI models. This includes tons of books from many languages, going back to the 15th century.
  2. Using these public texts helps avoid legal problems tech companies face when they use copyrighted material. It also can improve the quality and reliability of AI.
  3. The dataset from Harvard is available for anyone to use on the Hugging Face platform. This gives researchers and developers a valuable resource for their AI projects.

Deepgram Voice API, OpenRouter $40M, Thales Detects BOLA Vulnerabilities

The API Changelog • 0 implied HN points • 30 Jun 25
🕹 Technology AI
  1. Deepgram has launched a Voice API, which helps businesses create smart voice agents to improve customer interactions. This API includes features for speech recognition and conversation management.
  2. OpenRouter received $40 million in funding to advance its AI inference API, showing that investors believe in its potential technology. This funding will help them grow and enhance their services.
  3. Thales introduced new tools to detect vulnerabilities in APIs, specifically BOLA, which protects applications from unauthorized data access. This is important for keeping sensitive information secure.

Connecting AI to Reality

The API Changelog • 0 implied HN points • 27 Jun 25
🕹 Technology AI
  1. AI can help improve agriculture by using technology like autonomous robots and controlled environments. This means we can grow food more efficiently and sustainably.
  2. Tools like StockSmart use AI to help manage livestock grazing, which can lead to better outcomes for farmers and the environment.
  3. Construction can also benefit from AI, as companies use data and real-time insights to reduce costs and increase productivity while being more sustainable.

Sri Lanka API Policies, SaturnX $3M, Bitdefender + Mesh Security

The API Changelog • 0 implied HN points • 23 Jun 25
🕹 Technology AI
  1. Sri Lanka is planning to introduce new API policies that will help both the government and private sectors work better together. This will ensure security and make things run smoother in the digital world.
  2. SaturnX has raised $3 million to expand its payment services in Asia. This funding will focus on improving their API platform for digital transactions.
  3. Bitdefender is strengthening its email protection by acquiring Mesh Security, which will enhance its security services and help respond faster to threats.

20250629

Curious futures (KGhosh) • 0 implied HN points • 29 Jun 25
🕹 Technology AI
  1. AI is quickly growing, but there's a risk that future models could become less reliable. This is because they might be trained on data made by other AIs instead of real human data.
  2. There's a mix of technology and nature emerging, like humans working closely with fungi and using AI in their daily lives. This relationship is about finding balance and thriving together, instead of competing.
  3. Despite challenges like security threats, communities are finding new ways to come together, like planting trees and exploring creative collaborations, showing that human connections are still very important.

20250615

Curious futures (KGhosh) • 0 implied HN points • 15 Jun 25
🎭️ Culture AI
  1. Humans and AI might develop a relationship similar to eyelash mites and humans, where both benefit without being aware of each other. This suggests a future where we thrive alongside advanced AI without needing to control it.
  2. The future isn't just bleak or hopeful; it's filled with options based on the choices we make. We can create our own paths, blending creativity and human experiences.
  3. Authenticity is key in storytelling. Instead of relying on AI-generated content, focusing on real, imperfect human emotions can make our narratives more relatable and meaningful.

#42 Content moat in the AI world

Organic SaaS Growth • 0 implied HN points • 01 Jul 25
💼 Business AI
  1. As AI-generated content becomes common, it's important for businesses to find ways to stand out and be memorable. This means creating unique content that can't be easily replicated.
  2. With AI tools providing direct answers to questions, businesses need to think of new ways to draw visitors to their websites. It's all about attracting people even when answers are just a click away.
  3. A well-planned content strategy can help businesses create a 'content moat.' This means building a strong foundation now so that they can thrive in the changing landscape of online content.

What's up with datacenters? And the Three Horse Race

Alex's Personal Blog • 0 implied HN points • 15 Jul 25
🕹 Technology AI
  1. Cognition AI recently acquired Windsurf and gained significant revenue, showcasing how tech companies are trying to consolidate power in the market. It raises concerns about competition being stifled as larger firms buy up smaller ones.
  2. Major companies like Meta and Alphabet are heavily investing in building large data centers, indicating that the demand for AI technology and computing power is not slowing down. They believe that more computational power will lead to better AI models.
  3. The U.S., China, and France are emerging as the top contenders in the global AI race, with each country focusing on leveraging its tech companies to achieve dominance in AI development.

✨ America's AI lead over China: Here's why it will continue

Faster, Please! • 0 implied HN points • 02 Jul 25
🕹 Technology AI
  1. America may stay ahead of China in AI despite China's detailed plans and investments. This suggests that sometimes having a solid plan doesn't guarantee success.
  2. China's government has made significant efforts to boost its AI capabilities, but it faces structural challenges that can't be easily fixed with policy.
  3. The race in AI isn't just about resources; it's also about adaptability and overcoming limitations.

The $100 Million Question: Deconstructing the AI Talent War

Experiments with NLP and GPT-3 • 0 implied HN points • 04 Jul 25
🕹 Technology AI
  1. Big tech companies are competing hard to hire AI talent, offering huge salaries up to $100 million. This shows how valuable skilled people are in the race to create advanced AI.
  2. Only a few companies have the resources needed to build the most advanced AI technologies, leading to a big gap between the top researchers and the rest. This could create more inequality within tech and society.
  3. India has a chance to lead in AI by focusing on open-source projects and supporting local talent. Instead of competing directly with big salaries, Indian startups can create mission-driven cultures that attract and retain talent differently.

Big Tech Digest #21 💥

Big Tech Digest • 0 implied HN points • 15 Jul 25
🕹 Technology AI
  1. AI can sometimes make job candidates seem overly perfect in interviews. It's important to know how to spot AI-generated responses to ensure fair hiring.
  2. Team leaders may face skepticism when introducing AI tools. Having strong conviction and clear communication can help in gaining team acceptance.
  3. Optimizing technology, like reducing latency in a service or improving performance in software, can result in significant benefits, making systems faster and more efficient.

The Retrieval-AI Shift: Win on Cost, Compliance, Career

OSS.fund Newsletter • 0 implied HN points • 10 Jul 25
🕹 Technology AI
  1. Retrieval-Augmented Generation (RAG) is becoming the preferred choice for businesses because it's much cheaper and faster than traditional methods.
  2. With RAG, roles in companies are changing. Workers will focus more on creative tasks and less on data collection and routine analysis.
  3. Skills related to RAG are very much in demand now, with companies looking for people who understand new tools and can design effective systems.

Superhuman Web Agents, 3D Scene Diffusion, and Math-Formalizing RL

ppdispatch • 0 implied HN points • 11 Jul 25
🕹 Technology AI
  1. WebSailor is a new tool that helps web agents perform better by teaching them to handle tricky information tasks. It's open-source and matches the abilities of some proprietary systems.
  2. Agent KB allows different language agents to share knowledge and learn from each other, which helps them solve complicated problems more effectively.
  3. LangScene-X is a method for creating 3D scenes from simple 2D images, making it easier for agents to understand complex visuals without needing a lot of extra data.

Cybersecurity judo, Nvidia chip procurement, and fishy antibody strategies

The Strategy Toolkit • 0 implied HN points • 23 Jun 25
🕹 Technology AI
  1. Cybersecurity can sometimes turn threats into opportunities. Just like in martial arts, using an attacker's strength against them can be effective.
  2. Some hackers are now using open source tools to carry out cyber attacks. This helps them blend in and avoid detection from cybersecurity teams.
  3. New tools, like ECHO, are helping to automate the removal of malware quickly. This tool can resolve issues in minutes instead of days, making it easier to protect networks.

Context in LLMs and the blockchain

networked • 0 implied HN points • 16 Jul 25
🕹 Technology AI
  1. Large language models (LLMs) and blockchains both need current information to stay relevant. LLMs are trained on data but can quickly become outdated, while blockchains can hold data forever but can't verify if that data is actually accurate.
  2. To make LLMs and blockchains more useful, they need to access real-world information. LLMs now use tools like web searches to update their knowledge, and blockchains use oracles to get outside data.
  3. However, LLMs are still useful even without real-time data, while blockchains rely heavily on external information. This difference shows how LLMs can operate independently with their own capabilities.

Save hours on your stock research

Valuabl • 0 implied HN points • 05 Jul 25
💼 Business AI
  1. ValuationBot is an AI tool that helps you research stocks much faster than traditional methods. This means less time spent on studying and more time for other activities.
  2. Using ValuationBot can help you invest like expert fund managers without needing to hire a large team. It's designed to save you money while giving you valuable insights.
  3. The AI-driven approach of ValuationBot allows you to get updated information quickly, making your investment decisions more efficient. This can lead to better financial outcomes.

Using Omni’s AI Assistant on the Semantic Layer

Inside Data by Mikkel Dengsøe • 0 implied HN points • 18 Jul 25
🕹 Technology AI
  1. Using AI tools like Omni’s Assistant can help make data requests easier for everyone in a company. This self-serve system allows users to ask their own questions and get answers without waiting for analysts.
  2. It's important to carefully set up the data and provide clear guidelines. By organizing the data into 'Topics' and adding descriptions, the AI can better understand the information it needs to work with.
  3. However, there are still some challenges. The AI can struggle with complex questions or unclear requests, so it's good to test its performance and make adjustments when things don't go well.

AI prompt library

MKT1 Newsletter • 0 implied HN points • 03 Jul 25
💼 Business AI
  1. There is a library with over 60 AI prompts designed for marketing teams. These can help build tools and improve your marketing efforts.
  2. You can try out an interactive hackathon idea generator that offers a sneak peek into these prompts.
  3. For more resources on using AI in marketing, there are newsletters and template libraries available for subscribers.

20 Seed & Series A Companies Building in Consumer AI

Digital Native • 0 implied HN points • 02 Jul 25
🕹 Technology AI
  1. Consumer AI is gaining attention as a new area for startup investment, especially as the market shifts. More people are looking at how AI can change everyday experiences.
  2. Events like Humans in the Loop are helping to connect founders and investors in the consumer AI space, creating excitement and opportunities for new ideas.
  3. A variety of companies are emerging, focusing on different applications of AI from virtual shopping experiences to creating interactive avatars. This shows there's a lot of room for innovation in how we use technology.

Integrating Multiple AI Agents

The API Changelog • 0 implied HN points • 11 Jul 25
🕹 Technology AI
  1. Using multiple AI agents can help achieve tasks that require different skills and specializations. This makes it easier to tackle complex problems by dividing them into smaller parts.
  2. The Agent2Agent Protocol (A2A) simplifies how these AI agents communicate and collaborate. It helps them find and interact with each other smoothly to work as a team.
  3. Standardizing the way agents communicate is essential for effective collaboration. This helps ensure that agents share information correctly and can produce the best results together.