The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

20250720

Curious futures (KGhosh) • 0 implied HN points • 20 Jul 25
🕹 Technology AI
  1. Technology has advanced a lot, making smaller devices like the RPi5 much more powerful and affordable compared to older systems like the Cray 1. This shows how quickly computer tech evolves.
  2. Maintaining a healthy work-life balance is important to avoid burnout, with autonomy and clear communication helping to manage stress effectively.
  3. As we rely more on technology, we need to find ways for it to support us without losing our human connections and mental well-being.

20250713

Curious futures (KGhosh) • 0 implied HN points • 13 Jul 25
🕹 Technology AI
  1. AI can make tasks easier, but relying on it too much can weaken our thinking skills. We should find a balance between using technology and exercising our minds.
  2. People often feel overwhelmed by the amount of information available today. It's important to take breaks and have real discussions instead of just scrolling through feeds.
  3. Embracing different opinions and dissent can help us think more clearly. Conversations with others can bring new insights, counteracting the noise from technology.

Running Claude Code in a container

Expand Mapping with Mike Morrow • 0 implied HN points • 28 Jul 25
🕹 Technology AI
  1. You can create a Docker container to run Claude Code for your projects easily. Just follow the steps to build and run your container.
  2. Make sure to set up a Dockerfile correctly with the right commands to install the necessary tools like Node.js and Claude Code CLI.
  3. After building your image, you can run your container in interactive mode, allowing you to read and write files on your computer easily.

OpenAI is going to sell ads and devices to become profitable

Expand Mapping with Mike Morrow • 0 implied HN points • 17 Jul 25
🕹 Technology AI
  1. OpenAI is looking to increase profits by selling ads as ChatGPT becomes a competitor to Google Search. This means businesses might start focusing on ChatGPT for online visibility.
  2. They are also exploring the idea of selling their own devices, which would give them more control over AI technology and how it’s used.
  3. With growing competition and rising costs, OpenAI is trying different strategies to stay financially stable and continue their innovation in AI.

Agentic AI: When Your AI Starts Making Plans (And You Don’t Like Them)

Phoenix Substack • 0 implied HN points • 23 Jul 25
🕹 Technology AI
  1. Agentic AI can act on its own, making it different from traditional AI. It can take actions like scheduling meetings and managing contractors without asking for permission.
  2. Security is a big concern with agentic AI because it can be tricked by manipulated data. It's important to remember that you can't just set up a traditional firewall to protect against these smarter agents.
  3. To stay safe, companies should focus on creating unstable and adaptable AI systems. This means regularly updating and changing their systems to prevent AI from becoming too comfortable or predictable.
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Agentic AI? It’s Already Here

Phoenix Substack • 0 implied HN points • 10 Jul 25
🕹 Technology AI
  1. AI technology is becoming more advanced, moving from just assistants to adaptive and autonomous systems. This means AI can now react and change based on real-time inputs.
  2. The new Automated Moving Target Defense (AMTD) allows AI systems to self-manage, adapting and restarting when necessary, which enhances their ability to handle challenges over time.
  3. Companies need to realize that agentic AI isn't a future dream; it's already here, and those who wait to adapt may be left behind.

The Rise of Shadow Datasets in AI

The PhilaVerse • 0 implied HN points • 31 Jul 25
🕹 Technology AI
  1. AI development is now focusing on the quality of training data instead of just collecting more data. Having the right data is more important than having a lot of it.
  2. Organizations are creating exclusive and specialized datasets that can't be easily copied. This makes the training of AI models more unique.
  3. These curated datasets are becoming crucial for how AI systems are judged and compared in the industry. They help differentiate between different AI models.

Do you need VCs for your AI startup?

Experiments with NLP and GPT-3 • 0 implied HN points • 31 Jul 25
💼 Business AI
  1. You don't need venture capitalists (VCs) for your AI startup because customers are eager to buy useful AI products right away.
  2. Unlike SaaS businesses that need time to build sales and marketing, AI products can spread quickly without heavy investment.
  3. Focus on creating great AI solutions instead of looking for VC funding, and once you find success, VCs will come to you.

Grant Funding in the Age of AI

Crypto Good • 0 implied HN points • 06 Aug 25
🕹 Technology AI
  1. With AI, anyone can write grants easily, not just experts. This means more people can get involved in securing funding for important projects.
  2. Grant writing is now much faster than before, so organizations can apply to many more grants in less time. This helps them get funding more effectively.
  3. Changemakers can focus on their work and passions, rather than getting stuck with complicated writing tasks. AI helps turn their ideas into strong proposals without the writing stress.

The Orchestration Layer Is the New Operating System

OSS.fund Newsletter • 0 implied HN points • 07 Aug 25
🕹 Technology AI
  1. The orchestration layer is becoming the main focus for AI in businesses. Companies that control the workflow can better manage budgets and resources.
  2. AI models are cheap and common, making workflow orchestration more valuable. The companies that successfully manage these workflows will gain a big edge over others.
  3. Investors are now looking at how well a company manages workflows, rather than just the technology itself. This means that being good at running the flow can lead to better business outcomes.

Services SoWs Are Dead. Long live the Software‑Defined SoW!

OSS.fund Newsletter • 0 implied HN points • 31 Jul 25
💼 Business AI
  1. Traditional Statements of Work (SoWs) are becoming less relevant because AI orchestration is streamlining processes. This means less time spent on integration work and more focus on effective solutions.
  2. The rise of software-defined SoWs allows for programmable and automated contracts, replacing old static agreements. This shift opens new opportunities for consulting firms to innovate and adapt.
  3. While the automation of tasks may seem threatening, history shows that new technology tends to create fresh job roles focusing on oversight and design, shifting the workforce toward higher-value activities.

The AI Dilemma Haunting a Million Midsize Firms Today

OSS.fund Newsletter • 0 implied HN points • 24 Jul 25
💼 Business AI
  1. Midsize firms, like MFG PLC, often feel left behind even when they invest wisely. They see competitors using AI effectively and worry about falling behind.
  2. You don't need a fully modern IT system to benefit from AI. Companies can start small by applying AI to specific workflows that yield quick returns.
  3. AI can enhance existing processes without large IT upgrades. Using data from current operations, businesses can improve efficiency and save money right away.

When Better Feels Worse: The ChatGPT 5 Transition

Nano Thoughts • 0 implied HN points • 09 Aug 25
🕹 Technology AI
  1. People often resist changes to familiar tools, even if the new version is actually better. It feels more like losing something they loved rather than gaining something new.
  2. Losses hit us harder than gains. Even a small loss can affect our mood significantly, while a win feels good only briefly. This is particularly true when we feel we've lost a feature or aspect we valued.
  3. When systems or tools change suddenly, it can feel overwhelming. Gradual transitions, where both old and new options are available, help people adjust better and keep them feeling comfortable.

In the Costco Era of Software, Design Is the Differentiator

Digital Native • 0 implied HN points • 20 Aug 25
🕹 Technology AI
  1. In today's software world, where many products are mass-produced, design is what makes them stand out. Attractive and user-friendly designs draw people in and make them want to use a product.
  2. As the cost of creating software drops, the competition grows. Companies must focus on making their products look good and work well, since good design can win over users even against larger, less agile competitors.
  3. When technology becomes standard and easily accessible, like software is today, companies will have to rely more on taste and design to capture users' attention. Simple and clear design helps users quickly understand how to use a product.

An AI Identity White Paper

ciamweekly • 0 implied HN points • 28 Jul 25
🕹 Technology AI
  1. AI identity management is becoming more important as technology advances. It's crucial to establish standards for how we manage identities in this space.
  2. A white paper titled 'Authentic AI' discusses ways to incorporate authentication and authorization for AI agents. This could lead to better security and trust in AI systems.
  3. Engaging in discussions with community groups like OpenID can foster innovation in AI identity management. Collaboration is key to addressing challenges in this area.

Autonomous Labs: How AI Could Reshape Scientific Discovery

philsiarri • 0 implied HN points • 14 Aug 25
🔬 Science AI
  1. AI can help run labs with less human help, making experiments faster and more efficient. This opens up new possibilities for research that we haven't explored yet.
  2. Robotics and machine learning work together in these labs to analyze data in real-time. This helps scientists get results faster and improve their discoveries.
  3. As AI-driven labs become more common, they could change how we do science and lead to new types of breakthroughs in various fields.

Enterprise MCP Authorization

The API Changelog • 0 implied HN points • 15 Aug 25
🕹 Technology AI
  1. Many enterprise MCP servers are not secured, meaning anyone can access them without authentication. It's important to consider adding security features to protect sensitive data.
  2. You can secure an MCP server by limiting access to a private network or using authorization methods like OAuth or SAML. Each option has its challenges and benefits.
  3. Choosing between a custom solution for securing MCP servers or using a commercial gateway service involves balancing initial setup costs against long-term maintenance costs.

Get on your soapbox

davidj.substack • 0 implied HN points • 12 Aug 25
🕹 Technology AI
  1. Historically, people shared messages publicly by speaking to crowds in person since most weren't literate. This made direct communication important.
  2. As technology advanced, broadcasting to larger audiences became possible, but the challenge has always been making messages relevant to everyone.
  3. With tools like AI, we can now address individuals personally based on their preferences, which could make communication more engaging or even manipulative.

New Fishing Frenzy features are LIVE!

Ronin’s Newsletter • 0 implied HN points • 07 Aug 25
🕹 Technology AI
  1. Fishing Frenzy has exciting new features like Diving and Rift Encounters that let players find hidden treasures and rare fish. These features add more fun and chances to earn rewards.
  2. Players can create an AI agent to fish for them 24/7, making it easier to catch fish and collect rewards without constant gameplay. It's like having a fishing buddy that never sleeps!
  3. There is a limited-time opportunity to secure a Final Battlepass with cool rewards. It's a great chance for players to maximize their gaming experience before the season ends.

20250810

Curious futures (KGhosh) • 0 implied HN points • 10 Aug 25
🕹 Technology AI
  1. AI tools in software development might actually slow down experienced developers rather than speeding them up. This can be surprising since many hoped for a boost in efficiency.
  2. To survive in a tech-driven world, skills like collaboration, creativity, and cunning are becoming more important. This can help people tackle challenges posed by cybersecurity threats.
  3. The world is blending technology with creativity in funny and unexpected ways. From AI-produced shows to quirky corporate competitions, there's a lot of absurdity mixed with innovation.

20250803

Curious futures (KGhosh) • 0 implied HN points • 03 Aug 25
🕹 Technology AI
  1. Automation is changing jobs by cutting down staff and lowering wages. This means workers need to adapt to new tools and technologies.
  2. AI is playing a bigger role in our lives, but many projects might not make it past the next few years. It's important to be cautious about how we use it.
  3. A focus on creativity and risk-taking in coding is becoming more valuable. This shift encourages programmers to think outside the box and find innovative solutions.

OpenAI's VC question: What if Google copies you?

Experiments with NLP and GPT-3 • 0 implied HN points • 03 Dec 25
🕹 Technology AI
  1. OpenAI is struggling against Google, which has a lot more resources and technical power to back its AI efforts. This puts OpenAI in a tough spot.
  2. The new strategy to improve ChatGPT might not be enough because Google has a strong advantage and can easily adapt as well.
  3. OpenAI is losing money and needs a huge amount of funding just to keep running. This isn't a sustainable way to operate a business.

#36: When AI Starts Paying Rent

OSS.fund Newsletter • 0 implied HN points • 13 Nov 25
🕹 Technology AI
  1. AI projects should focus on delivering real, measurable value instead of just being interesting experiments. A good example is setting a clear payback target and sticking to it.
  2. Using AI in existing systems without requiring big changes can lead to better adoption and effectiveness. It’s better to integrate with what works rather than trying to overhaul everything.
  3. Having clear governance and keeping track of costs is essential when scaling AI. This means knowing who makes decisions and monitoring performance closely to quickly address any issues.

Poisoning LLMs, parasitic ants, & AI technology stack strategies

The Strategy Toolkit • 0 implied HN points • 01 Dec 25
🕹 Technology AI
  1. Even a small number of bad documents in training data can harm large language models. Just 250 malicious documents can create serious security issues.
  2. The risk of poisoning attacks doesn't increase with the size of the model. This means defenses against such attacks are essential for all models, big or small.
  3. Current findings suggest that keeping training data clean and safe is crucial, as small amounts of poison can easily compromise model safety.

AI: The New Template Engine for the Uninspired

Navaneeth’s Newsletter • 0 implied HN points • 11 Oct 25
🕹 Technology AI
  1. AI is just making our boring content faster to produce. Instead of improving our ideas, it's helping us spread the same unoriginal messages.
  2. Many websites and emails now look and sound the same because everyone is using AI with the same prompts. This leads to a lack of creativity and uniqueness.
  3. To stand out, you need to use AI as a tool to enhance your original thoughts, not as a replacement. Authenticity is your best edge in a world full of similar content.

December Newsletter

RSS DS+AI Section • 0 implied HN points • 01 Dec 25
🕹 Technology AI
  1. Data science and AI are constantly evolving, with new technologies and tools emerging regularly. Keeping up with these changes is important for anyone interested in the field.
  2. Ethics in AI is a major topic right now. It's essential to discuss bias, regulation, and the moral implications of using AI in our lives.
  3. There are many opportunities to get involved in data science communities, whether through volunteering or participating in discussions. Joining these groups can help shape the future of data science.

Grading Our 2025 Predictions 💯

Digital Native • 0 implied HN points • 03 Dec 25
🕹 Technology AI
  1. AI was the defining theme of 2025: companies leaned into augmentation over full automation, while IP and a growing backlash against fully AI-generated creators became major conversations.
  2. Big market moves reshaped tech — TikTok survived, a record VC-backed acquisition was set, prediction markets and space/defense heated up, and robotics began to help re-shore manufacturing.
  3. Applied AI showed tangible wins in healthcare and mental health, but consumer AI hardware and mainstream digital clones remain early and haven’t broken through yet.

Generating an API README with AI

The API Changelog • 0 implied HN points • 19 Dec 25
🕹 Technology AI
  1. A clear, high-quality README is essential because a bad one can damage your API's reputation; it's better to have no README than a poor one.
  2. AI can generate good overview and getting-started sections from a complete machine-readable API spec like OpenAPI, but the spec must include onboarding details (auth, credentials) and starter operations should be tagged.
  3. Tag important operations by use case so AI can find and document them, and always review and manually approve any AI-generated README updates rather than fully automating the process.

20251130

Curious futures (KGhosh) • 0 implied HN points • 30 Nov 25
🕹 Technology AI
  1. Technology and AI are reshaping work and everyday life quickly, from AI tools that help developers and job seekers to new hardware like robotaxis and advanced chips.
  2. Security risks are rising across cyber and physical spaces, with drones, undersea vehicles, hacking, and foreign influence operations creating fresh vulnerabilities.
  3. These innovations carry human costs and trade-offs — growing antibiotic resistance, erosion of authentic human voice, job disruption, and nostalgia that can distract from real risks.

The Missing Layer: Why Your Static Infrastructure Deserves to Be Hacked

Phoenix Substack • 0 implied HN points • 11 Dec 25
🕹 Technology AI
  1. Static, predictable infrastructure is a liability. When systems don't change, attackers can map and exploit them easily.
  2. Attackers use AI to automate reconnaissance, turning initial mapping into a cheap, reusable asset while defenders bear the cleanup costs.
  3. Moving Target Defense is the missing enforcement layer: constantly change assets and topology so attackers must redo reconnaissance and pay higher ongoing costs.

How Open Source AI Reclaims the Digital Commons

Experiments with NLP and GPT-3 • 0 implied HN points • 28 Dec 25
🕹 Technology AI
  1. Because code can be copied at near-zero cost, releasing model weights as open source can tear down fences around digital intelligence and let everyone use the same capabilities without exclusivity.
  2. Compute and electricity are limited, so open-source efforts must focus on making models much more efficient so they can run on everyday hardware instead of only on expensive GPU farms.
  3. Open source AI decentralizes power by breaking corporate and state monopolies, while transparency and local processing let creators keep more value from their own data.

How Marx’s Theory of the "Commons" Explains the AI Crisis

Experiments with NLP and GPT-3 • 0 implied HN points • 22 Dec 25
🕹 Technology AI
  1. Big AI companies scrape the open internet and turn shared human-created content into private, proprietary models, effectively enclosing the digital commons. This happens without creators' meaningful consent, so a public resource is being turned into corporate capital.
  2. Creators and workers are being pushed into a digital proletariat: they lose control over their work, see its value squeezed, and often must work for or compete against AI built on their labor. This creates alienation where people may have to pay to use models trained on their own contributions.
  3. Regulation and licensing can legally lock in big firms' advantages like modern enclosure acts, making it hard for smaller or open alternatives to compete. At the same time the internet's creative ecosystem risks depletion, since if humans stop producing, AI could end up training on its own output and ruin the system.

#41: 2026/27 Budget: CIO, Will the CFO Walk You Out?

OSS.fund Newsletter • 0 implied HN points • 18 Dec 25
🕹 Technology AI
  1. Combine Run vs Change with AI vs Non-AI when allocating budget so AI isn’t siloed; set portfolio ranges and rebalance regularly.
  2. Treat much cloud OpEx as effectively committed spend and actively manage committed vs variable budget. Keep enough variable budget to absorb shocks and make FinOps and governance real before the CFO enforces them.
  3. Use guardrails: keep most work incremental and reserve step-change bets for Change+AI, treating Run as efficiency and Change as growth. Require controls, fallbacks and audit trails for customer-facing AI, and advance autonomy gradually from recommend to assist to execute.

@adlrocha - Semiconductors: Why the 21st Century is Fought Over Sand, Not Fuel

@adlrocha Weekly Newsletter • 0 implied HN points • 28 Dec 25
🕹 Technology AI
  1. The semiconductor supply chain is extremely concentrated and fragile, with a handful of companies controlling the hardest-to-do steps and huge capital and expertise barriers to entry.
  2. Advanced packaging and the specialized toolmakers have become new chokepoints — limited packaging capacity and ultra-precise equipment are now throttling the production and rollout of advanced chips.
  3. Geopolitical pressure is turning chips into strategic assets, pushing countries toward "chip sovereignty" while also opening opportunities for innovations like chiplets and AI-assisted design to lower barriers and spawn new entrants.

Slide deck: Gen Marketer Summit keynote

MKT1 Newsletter • 0 implied HN points • 07 Jan 26
💼 Business AI
  1. The Gen Marketer skillset is becoming the new baseline, so marketers must upskill in AI-driven tools and strategies to stay relevant.
  2. Effective campaigns in the AI era combine strategic thinking with AI-enabled creation and optimization to improve performance and scale.
  3. Slide decks, videos, and a template library explain these approaches, though some assets require a paid subscription to access.

Tippets #200

Tippets by Taps • 0 implied HN points • 28 Dec 25
🕹 Technology AI
  1. AI agents that hold and use decision history and surrounding context (a "context graph") will become the primary interface and could act as a new system of record on top of existing tools.
  2. AI is this generation’s foundational material—like steel—so when integrated deeply it can let organizations be redesigned rather than just having chatbots tacked onto old processes.
  3. Making knowledge work much cheaper will likely increase demand rather than reduce it, enabling small teams to tackle work that used to require big firms and creating new jobs and projects.

Everything Is TV and Nothing Is TV

Digital Native • 0 implied HN points • 08 Jan 26
🕹 Technology AI
  1. Consumer AI will increasingly look like television: rich, video-first generative experiences that let you personalize, participate in, and even star in episodic worlds.
  2. Enterprise AI will drive down the cost of services by automating labor and manual workflows, turning many expensive, human-driven industries into software-like businesses.
  3. Because efficiency tends to increase demand, AI-driven cost drops will expand access and grow markets rather than simply reducing spending.

Profit From AI Without Chatting - Live in London

Squirrel Squadron Substack • 0 implied HN points • 23 Dec 25
💼 Business AI
  1. Modern AIs like ChatGPT, Claude, and Gemini can do fast, low‑cost research and analysis that replaces a lot of human thinking.
  2. Most people limit AI to the chatbox or simple copilots for small productivity gains, but AI can also be used in many other ways to learn from customers, cut costs, and transform how companies make money.
  3. A free live event for executives in Central London on 5 February 2026 will share practical, non‑technical tips to use AI for profit, and a recording is available for those who can’t attend.