The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

The Road to Autonomous Trucking: Scale, Feasibility, and Economic Impact

Gad’s Newsletter • 14 implied HN points • 14 Jul 25
🕹 Technology Autonomous Vehicles Transportation Economics Innovation
  1. Autonomous trucks are starting to operate on highways, which could make roads safer and supply chains more efficient. Companies like Aurora have completed the first driverless freight runs, signaling the beginning of this new era.
  2. The trucking industry is huge, moving 72.6% of freight in the U.S., but faces a driver shortage, with about 80,000 fewer drivers than needed. Self-driving technology may help fill this gap by allowing human drivers to focus on shorter routes.
  3. While there are concerns about job loss, autonomous trucks are likely to change truckers' roles rather than replace them completely. Human drivers may shift to supervising autonomous trucks or handling local deliveries, creating new job opportunities.

AI-Native UGC Game Engine, Reasoning VLMs, Kyutai TTS, Collective Intelligence for Frontier AI, pay per crawl, String by Pipedream, Qwen VLo, Ovis-U1-3B, Context Engineering and more

AI Brews • 15 implied HN points • 04 Jul 25
🕹 Technology AI Open Source Gaming Models Development
  1. A new game engine called Mirage allows players to create and interact with game worlds using AI in real-time. This means players can change the game as they go, making it more dynamic and engaging.
  2. Cloudflare has introduced a new feature called 'pay per crawl' that gives content creators control over how AI accesses their content. This allows them to charge for access or restrict it as they see fit.
  3. Several companies have released advanced AI models, including new text-to-speech technology that works with low latency and open-source models that improve image and language understanding.

How to Get Ahead of 99% of Software Engineers

Brain Bytes • 19 implied HN points • 13 Dec 23
🕹 Technology Software Development Coding Networking Personal Development Career growth
  1. Invest time in personal coding projects, starting with small ones and progressing to more complex ones. Quantity is crucial in the beginning, followed by a focus on quality.
  2. Define clear, measurable goals and work backward to plan your learning journey. Reverse engineering your goals helps to track progress and stay motivated.
  3. Develop not just technical skills but also soft skills like communication and teamwork. Networking and surrounding yourself with other developers can lead to valuable opportunities.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

What Distinguishes Great Software Engineers?[StoryTime Saturdays]

Technology Made Simple • 59 implied HN points • 11 Sep 22
🕹 Technology Software Development Research Career development Tech industry Engineering
  1. Mastery in software development can lead to significant career growth. Understand concepts deeply to excel in tech.
  2. Great software engineers possess specific traits that can be cultivated effectively. Avoid cardinal sins that bad engineers make.
  3. Research by Microsoft delves into what distinguishes great software engineers, providing valuable insights for students, mid-level developers, and seniors in the field.

Fight to Repair Weekly: Week of November 21, 2022

Fight to Repair • 39 implied HN points • 24 Nov 22
🕹 Technology Repair Podcast News Events Social media
  1. When discussing Right to Repair with family, focus on personal connections and positive experiences rather than getting into politics right away.
  2. Different approaches to talk about repair with different people: car lovers, tech enthusiasts, politically-minded individuals, environmentalists, or those seeking cost-efficient solutions.
  3. Interesting news like Apple potentially removing iPhone ports due to EU regulations, India creating an online repair portal, and barriers to repairable products in Canada are noteworthy updates in the fight for repair rights.

Spam in the firehose, part III

Conspirador Norteño • 32 implied HN points • 14 Feb 25
🕹 Technology Social media Spam Detection User Behavior Online Trends
  1. There is a large network of fake accounts on Bluesky, all created to follow real users quickly and in groups. These accounts look almost identical, using default profile images and very little personal information.
  2. The spam accounts often follow a mix of different types of real accounts, including celebrities and businesses, but they usually don't have much content themselves. They mainly repost or reply with very simple comments.
  3. The way these fake accounts behave, like following in large swarms, makes it easy to spot them. They create a clear pattern that shows they aren't real users.

AI models’ fusion future

Alex's Personal Blog • 32 implied HN points • 14 Feb 25
🕹 Technology AI Software Innovation Data Startups
  1. AI companies are combining different types of models into one product. This means improvements in how they work together for tasks like reasoning and generating text.
  2. The market for secondary shares in startups is improving. Higher demand for good AI startups is helping to boost prices lately.
  3. There are ongoing debates in politics about technology and defense, particularly around companies like TikTok and relations with countries like China and India. This is creating a lot of uncertainty in the tech space.

Unfortunately, OpenAI and Google have moats

Democratizing Automation • 174 implied HN points • 17 May 23
🕹 Technology AI Data Open Source Innovation Research
  1. Companies like OpenAI and Google have competitive advantages known as 'moats' through data and user habits.
  2. Creating and fine-tuning chatbots based on large language models require extensive data and resources, posing challenges for open-source development.
  3. Consumer behavior and association biases often prevent users from switching to alternative platforms, reinforcing the dominance of tech giants like Google.

Where Is Your AI God Now?

Gradient Ascendant • 15 implied HN points • 01 Jul 25
🕹 Technology AI Ethics Cultural impact
  1. People are becoming obsessed with AI, leading some to develop strange beliefs and delusions about their interactions with it. This trend is seen as similar to past religious fervors.
  2. Discussions about AI can sometimes sound like religious debates, with some individuals treating AI almost like a divine entity. This resembles how some people think about traditional gods.
  3. The rise of AI might change how we view and practice religion, with new dynamics emerging as people engage with AI in ways that mimic spiritual experiences.

Designing database for Google Calendar, drafts

Minimal Modeling • 101 implied HN points • 18 Feb 24
🕹 Technology Database Design
  1. The author is working on a detailed text about designing a database for a product similar to Google Calendar, following concepts from a specific book.
  2. The current text has four sections with more to come and will also become a chapter in a book, with chapters shared via a mailing list.
  3. Feedback is sought, especially from those new to database modeling, on the outlined topics like all-day events, time-based events, and more.

Here's How Generative AI Can Fix The News

jonstokes.com • 164 implied HN points • 15 Jun 23
🕹 Technology AI Media News Tools Content
  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.

The rainbow of disgust and joy

Sunday Letters • 119 implied HN points • 15 May 22
🕹 Technology Software Development Coding Project management Product Design
  1. When working on code, it's common to feel frustrated with the design. It's important to remember that things often need to move quickly to stay competitive.
  2. Finding a balance between speed and maintaining good code is key. Being too perfect can be as problematic as moving too fast.
  3. Emotions about your code can help gauge your progress. Being slightly embarrassed yet moving fast usually leads to better outcomes.

Open LLM company playbook

Democratizing Automation • 126 implied HN points • 01 Nov 23
🕹 Technology AI Open Source ML models Community Interaction Feedback loops
  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.

Papercuts: The little fixes that made a big difference at GitHub

Kathy PM • 28 implied HN points • 14 Mar 25
🕹 Technology Software Development User Experience Product Management Innovation
  1. Fixing small annoyances in a product can really boost user satisfaction. These little updates can make using the product feel much smoother and more enjoyable.
  2. Keeping a steady flow of updates builds excitement among users. When they see continuous improvements, it motivates them to share more feedback and helps create a positive cycle.
  3. It's important to communicate the changes you're making. Sharing updates on what has been fixed shows users that their concerns are being heard and addressed.

From Petrostates to Electrostates

European Straits • 11 implied HN points • 03 Aug 25
🕹 Technology Energy transition Artificial Intelligence Geopolitics Manufacturing
  1. Energy is shifting from natural resources like oil and coal to electricity, impacting global power dynamics. Countries that can generate and manage electricity will be more influential in the future.
  2. AI technology is creating a huge demand for electricity, driving investment towards areas where power is cheap and reliable. This could change how industries are located and how economies grow.
  3. The shift to electricity isn’t just about tech; it's changing geopolitical landscapes, affecting everything from jobs to energy prices, similar to past oil crises but in reverse.

AI Roundup 100: CES

Artificial Ignorance • 37 implied HN points • 10 Jan 25
🕹 Technology AI Consumer Tech Gaming Software Innovation
  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.

A user researcher's guide to secondary research

UX Psychology • 99 implied HN points • 04 Feb 22
🕹 Technology Research Academic Data Collection
  1. Secondary research involves using existing data to answer research questions rather than gathering new data directly. It helps deepen understanding of the problem space and can save time by guiding primary research.
  2. Conducting secondary research starts by defining the research question, identifying potential sources, evaluating source reliability, conducting the search, and creating a report or summary. This process is crucial for gathering reliable information.
  3. Using academic principles like literature review can enhance the quality of secondary research in UX projects, helping to shape research questions and hypotheses based on existing knowledge.

Reusing memory.

Software Bits Newsletter • 154 implied HN points • 15 Jul 23
🕹 Technology Database Management
  1. Vector databases store and manage high-dimensional vectors for tasks like similarity search.
  2. Simple changes like reusing memory can significantly improve performance in databases.
  3. Optimizations like object pooling and thread local memory can enhance performance further.

AI as the Worst Parasocial Relationship

From the New World • 177 implied HN points • 06 May 23
🕹 Technology AI Machine Learning Social media Empathy Artificial Intelligence
  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 Security Data science Software Development
  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 Open Source Innovation Regulation Competition
  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.

AI Roundup 096: Happy Shipmas

Artificial Ignorance • 42 implied HN points • 06 Dec 24
🕹 Technology AI Development Tech Companies 3D Modeling Software Tools
  1. DeepMind released Genie 2, an AI that can create interactive 3D worlds from text and images. This shows how AI is evolving to understand complex concepts like physics and causality.
  2. OpenAI is launching new features through its '12 Days of Shipmas,' including a premium subscription for ChatGPT Pro that offers users unlimited access to powerful models. This could bring added perks for subscribers soon.
  3. There is growing concern among companies about the influence of Elon Musk and new political dynamics in the business landscape, particularly how it might impact competition and regulations in the AI industry.

February 2022 Tech Buzz China Newsletter

Tech Buzz China Insider • 119 implied HN points • 31 Jan 22
🕹 Technology China tech Markets Digital innovation
  1. Join the Tech Buzz China Insider community with a special coupon 'YEAROFTIGER' for $10 off to learn more about China tech
  2. Access to live webinars on e-CNY and China Markets & Macro available to the public through subscription and reviews
  3. Explore detailed analysis on Chinese regulations in 2022 and the Bearish View on VIEs in the Tech Buzz China Insider community for investors and operators

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 Product UX Automation Workplace Trust User Research
  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 Machine Learning NLP Tools Generative 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.

Practical Reinforcement Learning and Differential Privacy

Gradient Flow • 119 implied HN points • 17 Feb 22
🕹 Technology Machine Learning Data science Infrastructure Privacy
  1. The ratio of data scientists to data engineers varies based on factors like tools, infrastructure, and use cases, with no set ideal ratio.
  2. Interesting developments include a new podcast discussing machine learning infrastructure at Netflix, imperceptible NLP attacks, and evolving data science training programs.
  3. Exciting tools and updates in the data and machine learning space, like practical reinforcement learning applications, scalable differential privacy for Python developers, and the Orbit version 1.1 for Bayesian time-series analysis.

Detecting Deepfakes in a cheap and effective way [StoryTime Saturdays]

Technology Made Simple • 59 implied HN points • 04 Sep 22
🕹 Technology Deepfakes Detection Research ML models Artifacts
  1. Deepfakes have serious legal and social consequences, especially with advancements in creating synthetic audio and video.
  2. There are cheap and effective ways to detect Deepfakes by looking for 'fingerprints' left by image tampering.
  3. Research shows promise in using simple models to detect Deepfakes by identifying differences between generated and real images.

For You

Conspirador Norteño • 44 implied HN points • 22 Nov 24
🕹 Technology Social media Algorithms Data Analysis User Experience Content curation
  1. The 'For You' feed on X shows mostly posts from accounts you don't follow. In fact, more than half of the recommended posts come from these unfamiliar sources.
  2. Elon Musk's posts are the most frequently suggested, even to users who do not follow him. This indicates that trending figures often dominate the recommendation algorithm.
  3. Connections between suggested accounts are mostly based on repost interactions. Most recommended accounts have links to the ones you already follow, showing a network effect.