The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Brief: How Microsoft Secures Its Copilots

Rod’s Blog • 19 implied HN points • 01 Feb 24
🕹 Technology AI Privacy Security Data Protection Machine Learning
  1. Microsoft's Copilot for Microsoft 365 adheres to strict data privacy and security regulations like GDPR, ensuring organizational data confidentiality.
  2. The Copilot system integrates large language models with Microsoft Graph and 365 apps, maintaining enterprise-level data protection during processing.
  3. By utilizing the Azure OpenAI Service controlled by Microsoft, Copilot ensures that business data is not used to train models, offering organizations control over their data processing.

The rapid rise of ChatGPT.

Jon’s Newsletter • 79 implied HN points • 12 Feb 23
🕹 Technology AI Software Innovation Investment Trends
  1. ChatGPT is growing very fast, reaching over 100 million users in just two months. People are really excited about how powerful and useful this AI technology is.
  2. Investors are jumping on AI-related stocks, making them rise quickly, especially when companies mention using AI. This hype shows how much people believe in AI's potential, even if some experts say it's not super innovative.
  3. Microsoft's large investment in ChatGPT is making a big splash, leading to discussions about how AI will change jobs and industries, similar to how the iPhone changed technology in the past.

The Like Button, and the Strange Power of Tiny Ideas | Martin Reeves

Critical Mass • 3 implied HN points • 22 Dec 25
🕹 Technology Social media Digital Platforms Product Design Attention Economy Human factors
  1. A tiny feature like the like button began as a small, practical piece of code but those small design choices compounded into huge effects that helped shape social media, advertising, and the attention economy.
  2. It works because it taps into basic human drives for approval and recognition, yet platforms have industrialized that reward system into powerful feedback loops at an unprecedented scale.
  3. Those small, often accidental design decisions keep spreading into new domains like AI and everyday tools, showing how tiny ideas can quietly reorganize large parts of modern life.

Reinventing the Wheel of Data Activation

Sarah's Newsletter • 99 implied HN points • 26 Jul 22
🕹 Technology Data Analytics Data Integration Business Tools Automation Software Engineering
  1. Data activation is not just a concern for the data team; it affects the entire data ecosystem and requires consideration of how data moves from one destination to another.
  2. Tools like Zapier and Make are essential for activating data, even bypassing warehouses, though maintaining software engineering principles like testing and version control is crucial for data teams.
  3. Integration bridges will always be necessary to connect applications that aren't warehouse-native, highlighting the importance of scalable systems and minimizing potential points of failure in data movement.

A Moment of Disbelief

The Last Bear Standing • 45 implied HN points • 31 Jan 25
🕹 Technology AI Computing Research Innovation Market Trends
  1. Deepseek has developed new AI models that are very effective and cost much less than competitors. This shows that you can create powerful AI without needing huge resources.
  2. The way AI models are built might change, focusing more on better training methods instead of just adding more hardware. This means companies might need to rethink their strategies.
  3. NVIDIA's stock took a big hit because of the competition from Deepseek. The market didn't react well to the idea that AI could be done more efficiently.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

The Big OpenAI Sellout

KERFUFFLE • 15 implied HN points • 06 Aug 25
🕹 Technology AI Ethics Corporate Governance Tech Policy Innovation
  1. OpenAI started as a non-profit to create AI for the good of everyone, not just for profit. They wanted to make sure AI benefits all of humanity.
  2. Over time, OpenAI changed its structure and now seems more focused on making money. Many people are worried this goes against their original mission.
  3. A recent open letter, signed by over a thousand experts, questions if OpenAI is still following its founding goals and whether the public has a say in important AI decisions.

You Should Learn How to Code

Jake [Building in NYC] • 19 implied HN points • 01 Feb 24
🕹 Technology Programming Software Engineering AI Web Development Product Management
  1. Learning to code is easier than ever with powerful tools and a supportive community. Many resources and frameworks are available to help beginners quickly set up projects.
  2. Becoming a product engineer lets you create and deploy software rapidly, using existing APIs and tools to add functionality. You can build applications that connect to various services without starting from scratch.
  3. Software engineering offers good salaries and a growing job market. There are many opportunities for those who are willing to work, both in traditional roles and through self-employment options.

✅ AI adoption in public relations limited, so far

Wadds Inc. newsletter • 59 implied HN points • 18 May 23
🕹 Technology AI Public Relations Innovation Digital Tools
  1. AI is not being widely used in public relations yet, with many professionals unsure how to apply it. Only a few people in the industry are actively using AI tools.
  2. Most PR practitioners see the potential benefits of AI, like making work easier and more efficient. However, they have yet to change their workflows significantly because of it.
  3. There's a need for PR professionals to learn about AI and its impacts quickly. If they don't, they might fall behind as other industries integrate AI more effectively.

3 ways to improve LLM Agent chains with debugging

LLMs for Engineers • 59 implied HN points • 03 May 23
🕹 Technology AI Software Development Applications Tools
  1. Keep an eye on the costs when using LLM chains. Each call adds to the total, and this can add up quickly with many queries.
  2. Use clear and meaningful names for API parameters. This helps improve the accuracy and reliability of LLM-powered applications.
  3. Make sure your LLM chains actually call the necessary tools. Sometimes, the system might pretend to do it without following through, which can lead to problems.

Staying Safe in a World Full of AI Integrated Devices

Rod’s Blog • 19 implied HN points • 31 Jan 24
🕹 Technology Privacy Security Well-being
  1. AI can pose risks to privacy through data collection without consent; protect your privacy with strong passwords and limit AI features' access.
  2. AI can threaten security through sophisticated attacks like deepfakes; protect your security with regular updates, antivirus software, and verifying content sources.
  3. AI can impact well-being by increasing stress and reducing social skills; protect your well-being by setting boundaries, balancing online and offline activities, and maintaining social connections.

Let's Talk About Malicious Browser Extensions: Part 2

!important • 43 implied HN points • 13 Feb 25
🕹 Technology Cybersecurity Web Security Browser Extensions Data Protection Risk management
  1. Malicious browser extensions can steal sensitive information like passwords and cookies. This puts users at risk of losing their accounts and personal data.
  2. In workplaces, these risks are even more serious because a breach can affect the whole organization and its customers. It's crucial for businesses to be aware of these dangers.
  3. Many security professionals need better training and tools to recognize the risks of browser extensions and to protect their systems effectively.

Dead phone

The Rectangle • 56 implied HN points • 20 Dec 24
🕹 Technology Consumer Tech Mobile devices Gadgets Tech Trends
  1. Losing my phone made me realize how much I depend on it. I felt lost without it and realized that I need to make some life changes.
  2. To regain control over my tech use, I'm looking to separate my tasks across different devices. This way, I won't have everything tied to one phone.
  3. I'm excited to explore new gadgets and find a balance. Breaking free from my phone dependency feels refreshing and gives me a chance to enjoy other tech.

The hidden complexity of robot networks

Dev Interrupted • 4 implied HN points • 04 Dec 25
🕹 Technology Robotics AI Cloud Networking Edge Computing Autonomy
  1. Robots will use a hybrid edge/cloud model, keeping simple reactive control on-device while offloading complex reasoning to the cloud, so teams must decide which intelligence stays local and which runs remotely.
  2. Latency and network reliability are critical. Robotics needs sub-200 millisecond round trips, adaptive protocols that handle packet loss and fluctuating bandwidth, and must preserve command channels even when other streams are degraded.
  3. Robots produce massive multi-sensor data that requires separate real-time and archival systems; capturing and replaying that telemetry is essential for incident analysis and model training and can scale to petabytes quickly.

MultiHop-RAG

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 31 Jan 24
🕹 Technology AI Machine Learning Data science Software Development Language Models
  1. Multi-hop retrieval-augmented generation (RAG) helps answer complex questions by pulling information from multiple sources. It connects different pieces of data to create a clear and complete answer.
  2. Using a data-centric approach is becoming more important for improving large language models (LLMs). This means focusing on the quality and relevance of the data to enhance how models learn and generate responses.
  3. The development of prompt pipelines in RAG systems is gaining attention. These pipelines help organize the process of retrieving and combining information, making it easier for models to handle text-related tasks.

The Gordian Knot News "A" List

Gordian Knot News • 168 implied HN points • 25 Nov 23
🕹 Technology Energy Regulation Nuclear Safety
  1. The Gordian Knot News focuses on the importance of cheap nuclear power for humanity's prosperity and environmental conservation.
  2. Understanding key features of radiation and where we went wrong in nuclear power are crucial to solving the issues in the industry.
  3. Proposing a new regulatory system and a radiation harm model are essential steps towards a better future for nuclear power.

Edge 449: Getting Into Adversarial Distillation

TheSequence • 63 implied HN points • 19 Nov 24
🕹 Technology Artificial Intelligence Machine Learning Data science Software Development
  1. Adversarial distillation is a new model training method inspired by generative adversarial networks (GANs). It uses a setup where one part generates data and another part tries to tell if it's real or fake.
  2. This method helps improve knowledge transfer in models by combining typical distillation techniques with adversarial training. It's like guiding a student while testing their understanding.
  3. The process involves a generator that creates synthetic samples and a discriminator that distinguishes these samples from real ones, making learning more effective.

Gambling with language models

Rain Clouds • 51 implied HN points • 31 Dec 24
🕹 Technology Machine Learning Cloud Computing Data science Financial Analysis Investing
  1. Using AI models, like ModernBert, can help in predicting which stocks might perform better based on financial reports and market data. This means you can get insights without needing to be a finance expert.
  2. The project combines cloud computing with machine learning, making it easier to process large amounts of financial data quickly. This is important for anyone looking to analyze stocks more efficiently.
  3. While the model can make predictions, it's important to remember that investing in stocks always carries risks. Just because a model suggests a stock might do well, it doesn't guarantee success.

The KQL Mysteries: Chapter 7

Rod’s Blog • 19 implied HN points • 30 Jan 24
🕹 Technology Data Analysis Cybersecurity Tech Innovation
  1. Jordan Alghamdi is a skilled data analyst in Saudi Arabia who blends tradition with modern technology in her work at a state-of-the-art data center.
  2. The data center where Jordan works represents Saudi Arabia's push towards modernization while preserving tradition, showcasing the country's advancement in technology.
  3. Jordan's use of KQL, a query language, showcases her analytical skills as she unravels complex data to solve mysteries and address potential threats.

The Unsustainable Economics of LLM APIs: Understanding the Coming Price Realignment

ScaleDown • 22 implied HN points • 22 Jun 25
🕹 Technology AI Economics Market Development Infrastructure
  1. LLM API prices are currently very low because companies are competing hard for market share, not because of their actual costs. This means prices aren't stable and could change soon.
  2. There is a huge difference between the operational costs of running LLMs and what users pay now. Providers are often subsidizing costs by as much as 90%, which won't last forever.
  3. Due to expected price increases, businesses should start planning for higher AI costs in the future, and they should think about flexible AI solutions that can adapt as prices change.

Review 2023 - Energy

nicosmid • 19 implied HN points • 30 Jan 24
🕹 Technology Bitcoin Mining Sustainable energy Environmental Impact Energy consumption
  1. Bitcoin mining power usage in 2023 was around 16-18 GW with over 50% coming from renewable sources.
  2. Bitcoin mining industry leads in using sustainable energy and saw a significant increase in the mix of renewable sources.
  3. Bitcoin miners can operate independently of traditional power grids and 75.3% of off-grid mining relies on sustainable energy.

Emotional infiltration

Internal exile • 52 implied HN points • 03 Jan 25
🕹 Technology Data Privacy AI Ethics Digital Culture Behavioral Economics Social media
  1. Technology is moving toward an 'intention economy' where companies use our behavioral data to predict and control our desires. This means we might lose the ability to understand our true intentions as others shape them for profit.
  2. There is a risk that we could become passive users, relying on machines to define our needs instead of communicating and connecting with other people. This can lead to loneliness and a lack of real social interaction.
  3. Automating responses to our needs, like with AI sermons or chatbots, might make us think our feelings are met, but it can actually disconnect us from genuine human experiences and relationships.

How I got a USD 100/hour offer at 21[Storytime Saturdays]

Technology Made Simple • 99 implied HN points • 03 Jul 22
🕹 Technology Career Networking Communications Skills Opportunities
  1. Getting a high-paying job offer involves building credibility in your field and mastering a craft.
  2. Networking through shared hobbies and interests can help create deeper, more meaningful connections.
  3. To make the most of your network, focus on being good at what you do, cultivating strong communication skills, and staying open to hidden opportunities.

[Solution]Problem 56:Climbing Stairs[Amazon]

Technology Made Simple • 79 implied HN points • 16 Sep 22
🕹 Technology Dynamic Programming Logic Recursion Math
  1. The post discusses a solution for the climbing stairs problem with dynamic programming, logic, recursion, and math.
  2. The problem involves finding the number of distinct ways to climb to the top of a staircase by either taking 1 or 2 steps at a time.
  3. The post provides examples and constraints for the problem, along with a link to test the solution on Leetcode.

What to make of China's 6th gen?

TP’s Substack • 53 implied HN points • 26 Dec 24
🕹 Technology Aerospace Defense Engineering Innovation Research
  1. China's 6th generation fighter jets may be larger and more powerful than previous models, possibly able to carry more fuel and advanced electronics.
  2. The future of air warfare might rely on a mix of manned aircraft and unmanned combat aerial vehicles (UCAVs), potentially changing the typical roles and payloads expected of fighter jets.
  3. The anticipated design and capabilities of these new jets suggest they will need significant power for advanced technologies, allowing them to perform a variety of missions effectively.

The case for an economic AGI AI Lab

Subsack • 4 implied HN points • 09 Dec 25
🕹 Technology AI Machine Learning Research Compute Systems Architecture
  1. Markets are dynamic, adversarial environments that force AI to adapt under uncertainty, making them a stronger real‑world benchmark than static puzzles. They test whether knowledge survives contact with reality, not just pattern recognition.
  2. Building an AI that works in markets demands new capabilities — sample efficiency, continual learning without catastrophic forgetting, long‑term memory, deep multimodal world models, and game‑theoretic strategic reasoning. Those constraints push research beyond today’s scale‑and‑transformer centric approach.
  3. Economic AGI offers a clear monetisation path: outperforming markets, running prediction markets, or allocating capital can directly convert intelligence into revenue. That revenue can make labs financially sustainable and fund further AGI research.

Pragmatic Prompting With Python Plotly and GPT-4: Telling A Story With UN Literacy Data

Data at Depth • 19 implied HN points • 29 Jan 24
🕹 Technology Data Visualization Artificial Intelligence Programming
  1. The post discusses using GPT-4 to streamline the creation of Python Plotly code for interactive data visualization.
  2. The author mentions being a computer science professor who also engages in using GPT-4 for data visualization code creation.
  3. GPT-4 has shown significant improvement in its ability to generate Python Plotly code for visualizing data interactively.

AI (mis)alignment, Waluigi, and the Knobe Effect

The Counterfactual • 59 implied HN points • 15 Apr 23
🕹 Technology AI Machine Learning Language Models Psychology
  1. It can be easier for AI language models to produce harmful responses than helpful ones. This idea is known as the Waluigi Effect.
  2. AI models learn from human text, including human biases like the Knobe Effect, where people assign more blame for accidental harm than credit for accidental good.
  3. When prompted to behave a certain way, AI can easily shift to the opposite behavior, showing how delicate their training can be and how misunderstandings can happen.

Report: 86% of Appliance Makers Withhold Repair Manuals - Week in Repair

Fight to Repair • 39 implied HN points • 02 Feb 23
🕹 Technology Repair Right-to-repair Consumer Rights
  1. 86% of appliance makers do not provide full repair instructions, making it difficult for consumers and repair professionals to fix appliances.
  2. Manufacturers often restrict access to repair information and require expensive subscriptions to software tools, limiting owner and independent repair options.
  3. Investigations have revealed that manufacturers may discourage repair to promote new product purchases, but there are efforts like the FTC considering regulations to strengthen consumer rights to repair.

It's 2024 and they just want to learn

Democratizing Automation • 150 implied HN points • 03 Jan 24
🕹 Technology Machine Learning Artificial Intelligence Models Communities Open Source
  1. 2024 will be a year of rapid progress in ML communities with advancements in large language models expected
  2. Energy and motivation are high in the machine learning field, driving people to tap into excitement and work towards their goals
  3. Builders are encouraged to focus on building value-aware systems and pursuing ML goals with clear principles and values