The hottest Tech Trends Substack posts right now

And their main takeaways
Category
Top Technology Topics

10 Signs of AI Writing That 99% of People Miss

The Algorithmic Bridge • 1836 implied HN points • 03 Dec 25
🕹 Technology Tech Trends
  1. AI writing often uses vague and abstract words instead of concrete details. This makes it feel less relatable and real, unlike human writing that includes specific experiences.
  2. The choice of words in AI writing tends to be bland and overly formal. It avoids strong emotions and edgy language, which can make the text feel lifeless.
  3. AI lacks genuine sensory experiences, leading to descriptions that seem disconnected from reality. It can mention feelings or sensations but lacks true understanding of them.

Open Source “Political Protest Forks” Thriving

The Lunduke Journal of Technology • 5744 implied HN points • 28 Jul 25
🕹 Technology Tech Trends
  1. XLibre and Redot are new open-source projects that began as a response to disagreements within their original projects. They started as 'political protests' but have gained popularity instead of fading away.
  2. XLibre, a fork of the Xorg X11 server, has quickly gathered support from various operating systems and has released multiple updates since launching. It has impressed many with its rapid growth and significant new features.
  3. Redot, a fork of the Godot Game Engine, has also thrived with numerous releases and ongoing improvements within a short time. Both projects have defied early predictions of their failure.

The impeccable logic of Sam Altman

Marcus on AI • 4426 implied HN points • 10 Jan 25
🕹 Technology Tech Trends
  1. Sam Altman shares insights on artificial intelligence and its impact on society.
  2. He emphasizes the importance of careful consideration and planning for AI's future.
  3. Altman encourages open discussions about the ethical implications of AI advancements.

AI influencer hype gone wild

Marcus on AI • 5572 implied HN points • 31 Oct 24
🕹 Technology Tech Trends
  1. Many people are trying AI tools, but not everyone thinks they are effective. This shows there's a mix of interest and skepticism in using new technology.
  2. A recent survey revealed that while 79% of people have tried Microsoft Copilot, only 25% found it worthwhile. This indicates people are testing AI but still unsure about its overall value.
  3. People are not ignoring AI; they are being cautious and waiting to see if it meets their expectations before fully committing. It’s a wait-and-see attitude towards technology.
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Noah Brier: Things I think about AI

Why is this interesting? • 1025 implied HN points • 13 Aug 25
🕹 Technology Tech Trends
  1. You don't need fancy tricks to learn about AI. Just get a ChatGPT subscription and use it a lot.
  2. Many people underestimate how useful AI can be for their work and creativity. They should give it more effort.
  3. Trust what people say about AI with a grain of salt. Confidence doesn't always mean they know what they're talking about.

Tech companies are clamoring to re-buttonize their products

Taylor Lorenz's Newsletter • 3732 implied HN points • 25 Nov 24
🕹 Technology Tech Trends
  1. Tech companies are bringing back physical buttons in their products. After years of relying on touch screens, people are realizing that buttons are often easier and more reliable to use.
  2. Touch screens can crash and are not as user-friendly when you can't look at them, making things difficult in situations like cooking or driving. Buttons allow for more control without having to focus on a screen.
  3. The desire for buttons indicates a shift in how people want to interact with technology. There’s a growing appreciation for the tactile experience and simplicity that buttons provide.

The Second Gemini

Don't Worry About the Vase • 2374 implied HN points • 17 Dec 24
🕹 Technology Tech Trends
  1. Google's Gemini Flash 2.0 is faster and smarter than previous versions, making it a strong tool for those who want quick assistance and information.
  2. Deep Research is a new feature where users can get detailed reports based on multiple websites; it's useful but still needs improvement in accuracy and relevance.
  3. Projects like Astra and Mariner are experimental tools that aim to enhance user experience by providing real-time assistance and better interaction through voice and web browsing.

Why I fell in love with Go

Tech Ramblings • 39 implied HN points • 18 Aug 24
🕹 Technology Tech Trends
  1. Learning Scala was challenging, and it took a long time for new hires to get comfortable with the language. This made it hard to maintain projects and hire developers.
  2. Switching to Go allowed for faster operational readiness and simpler code, making it easier to deliver products and focus on customer needs.
  3. Go may not be seen as a 'cool' language, but it's practical and widely understood, making it a better choice for most developers compared to niche languages.

Microsoft & Google: "You'll have no real computers, and you'll be happy"

The Lunduke Journal of Technology • 6893 implied HN points • 26 Apr 23
🕹 Technology Tech Trends
  1. Big tech companies are promoting the idea of using less capable computers and remote desktop-ing into central servers.
  2. Microsoft is pushing Windows 365 Frontline where users connect to a remote Windows 11 desktop provided by Microsoft.
  3. Google is providing low-power Chromebooks to employees and encouraging the use of Google Cloudtop for desktop software, eliminating the need for powerful computers.

Some ideas for what comes next

Democratizing Automation • 529 implied HN points • 23 Jun 25
🕹 Technology Tech Trends
  1. OpenAI's new model, o3, is really good at finding information quickly, like a determined search dog. It's unique compared to other models, and many are curious if others will match its capabilities soon.
  2. AI agents, like Claude Code, are improving quickly and can solve complex tasks. They have made many small changes that boost their performance, which is exciting for users.
  3. The trend in AI models is slowing down in terms of size but improving in efficiency. Instead of just making bigger models, companies are focusing on optimizing what they already have.

The Swift Runtime: Your Silent Partner

Jacob’s Tech Tavern • 1312 implied HN points • 16 Dec 24
🕹 Technology Tech Trends
  1. The Swift Runtime, known as libswiftCore, is a C++ library that helps run Swift programs by managing essential features like memory and error handling.
  2. This library works alongside your Swift code, linking dynamically when you launch your app, which is why it's mentioned as running 'alongside'.
  3. By exploring the code within libswiftCore, you can learn how core Swift features are implemented at a deeper level, which can help you understand the language better.

What’s the future of AI hardware?

Product Identity • 138 implied HN points • 17 Jun 24
🕹 Technology Tech Trends
  1. AI hardware is still finding its identity and purpose. It's not yet clear how AI will truly enhance our devices.
  2. New gadgets often create high expectations but can lead to disappointment. Companies may hype products that aren't fully developed.
  3. Innovation in hardware often combines old ideas with new technology. It might be better to improve existing devices than to create entirely new ones.

Claire Vo: The CPO who automates herself with AI

CommandBlogue • 19 implied HN points • 19 Aug 24
🕹 Technology Tech Trends
  1. AI is changing how product managers work. It helps them complete tasks much faster, which could mean fewer PMs are needed in the future.
  2. The role of PMs might shift more towards being makers, meaning they will need to have skills in design and engineering to stay relevant.
  3. To break into product management, it's important to show what you can do by building something real for the companies you're interested in, rather than just sending a resume.

Hype Is Not A Data Strategy

SeattleDataGuy’s Newsletter • 365 implied HN points • 05 Jun 25
💼 Business Tech Trends
  1. Hype around data and AI can distract companies from their real goals. It's important to focus on what data can actually do for your business, instead of getting lost in the trend.
  2. Most businesses don't rely on data as their main product. Even if data can improve their operations, it’s not their primary focus, so the challenge is making data truly useful.
  3. Companies often look up to big tech for data strategies, but they have different resources. Chasing after their methods without understanding your own needs can lead to a misguided strategy.

Five Software M&A Observations for 2024

Next Big Teng • 314 implied HN points • 08 Jan 24
💼 Business Tech Trends
  1. Software M&A activity in 2024 is starting strong with notable deals happening early in the year.
  2. Financial sponsor-backed take-private deals are common, but the multiples are beginning to decrease.
  3. Regulatory scrutiny is impacting M&A activity, with implications for buyers and sellers alike.

Latest open artifacts (#12): Chinese models continue to dominate throughout the summer 🦦

Democratizing Automation • 182 implied HN points • 22 Jul 25
🕹 Technology Tech Trends
  1. Chinese AI models are gaining attention in the market, especially with new releases and better collaborations happening all the time.
  2. The quality of the AI models available is improving quickly, with more reliable options for various tasks compared to earlier versions.
  3. Companies like Qwen are innovating and making strides in AI technology, which is reshaping the landscape of available tools and resources.

Welcome to FunkByteTech!

FunkByteTech • 59 implied HN points • 01 Jun 24
🕹 Technology Tech Trends
  1. FunkByteTech offers fun projects to help you learn programming languages.
  2. The blog provides career tips and mentorship to advance in the tech industry.
  3. Stay updated on latest tech trends and listen to engaging conversations with engineers.

The Sequence Radar #688: The Transparent Transformer: Monitoring AI Reasoning Before It Goes Rogue

TheSequence • 154 implied HN points • 20 Jul 25
🕹 Technology Tech Trends
  1. AI researchers are exploring a way to monitor advanced AI reasoning to catch any dangerous behavior early. This method looks at how AI models 'think' through problems using something called chains of thought.
  2. This monitoring method is helpful but can be fragile. As AI models get better, they might stop using natural language reasoning, making it harder to understand their thought processes.
  3. There is a big push for more research to keep this monitoring effective. By establishing clear benchmarks, we can better evaluate and improve how we observe AI reasoning.

data-driven VC is over

State of the Future • 323 implied HN points • 25 Feb 25
💼 Business Tech Trends
  1. The way we research and develop investment ideas in venture capital is changing. Now, smaller firms can compete with big players because information is easier and cheaper to access.
  2. As everyone starts using the same data and insights, decision-making might become more about trusting your instincts than just following numbers. Investors might need to rely on what's not obvious or data-driven.
  3. The most successful investors in the future will be those who combine experience and wisdom with their specialized knowledge. It's not just about the data anymore; understanding what truly matters will set them apart.

The Sequence Knowledge #752: Understanding the Different Types of Synthetic Data Generation Techniques

TheSequence • 49 implied HN points • 11 Nov 25
🕹 Technology Tech Trends
  1. Synthetic data generation involves methods to create data that can be used for training models. It's important that this data is true to real-life scenarios and diverse enough to cover different tasks.
  2. A good synthetic data process combines real examples with transformations to improve coverage and quality. This way, it can create stronger data by getting better labels and avoiding duplicates.
  3. The effectiveness of synthetic data also depends on being able to guide and control the specific types of data it generates. This helps make sure the data fits the intended purpose and remains high quality.

The Rise of Offline Apps

In Bed With Social • 336 implied HN points • 24 Sep 23
🕹 Technology Tech Trends
  1. The mobile app landscape is shifting with a decrease in app downloads and counts on platforms like the App Store and Play Store.
  2. Apps like Breeze and Soon are introducing 'offline dating' experiences that prioritize face-to-face interactions over virtual connections.
  3. There is a rising trend towards digital consolidation and possibly a shift towards a 'super app' revolution to balance tangible experiences with digital connectivity.

Software Follow Up

Mule’s Musings • 122 implied HN points • 15 Jul 25
🕹 Technology Tech Trends
  1. It's important to keep refining your ideas and arguments over time. Doing this helps you stay accurate and relevant.
  2. Many people might hope for a certain outcome, but reality can often be different. It's good to have an open mind about what might happen.
  3. Paid subscriptions can give you access to more in-depth content and discussions that aren't available to everyone. This can enhance your understanding of the topic.

Hinternet Production Labs — An Audio Launch Event!

Justin E. H. Smith's Hinternet • 311 implied HN points • 22 Dec 24
🎙 Podcasts Tech Trends
  1. Hinternet Production Labs has released a new audio project called 'Chatbient chill-out,' combining chatbot conversations and ambient music for a unique listening experience.
  2. The project mixes chatbots with philosophical topics, using AI VoiceOver technology, appealing to those looking for background audio in today's busy world.
  3. Critics and fans have engaged deeply with the work, appreciating both its imperfections and the unexpected moments, which challenge our understanding of reality and art.

Results from poll #4

The Counterfactual • 39 implied HN points • 21 May 24
🕹 Technology Tech Trends
  1. The recent poll found that two topics, an explainer on interpretability and a guide to becoming an LLM-ologist, were equally popular among voters.
  2. The plan is to write about both topics in the coming months, keeping the content varied as usual.
  3. Two new papers were published this month, one on multimodal LLMs and another on Korean language models, highlighting ongoing research in these areas.

Security by design is hard

Frankly Speaking • 355 implied HN points • 10 Nov 24
🕹 Technology Tech Trends
  1. Security by design is a good idea but hard to implement. Most companies prioritize speed over security, treating security as an afterthought.
  2. Many existing cybersecurity solutions focus on adding security measures after a product is built instead of integrating it from the start.
  3. Tools like Pangea help address security issues early in product development, making it easier for developers to implement security as they build.

Why Do VC Firms Want an Option Pool Before the VC Round? | Lessons from the Dot-Com Era for Generative AI Hype| How Startups Use VC Funds to Invest in Other Startups? | VC Remote Jobs and More

Venture Curator • 179 implied HN points • 15 Sep 23
💼 Business Tech Trends
  1. VC firms prefer having an option pool before the funding round to ensure proper allocation of shares and ownership percentages among founders, investors, and future employees.
  2. Lessons from the Dot-Com era suggest parallels with the current Generative AI hype, highlighting potential trends in commoditization, emergence of innovative disruptors, and advice for startups to focus on long-term goals.
  3. Startups often reinvest VC funds into other startups, showcasing a trend seen during peak market craziness, where companies like Stripe and Coinbase made significant investments.

Where do we go from here

Normcore Tech • 1155 implied HN points • 28 Feb 23
🕹 Technology Tech Trends
  1. The landscape of social media is changing with platforms like Twitter and Facebook losing users to newer platforms like TikTok
  2. Users are moving to private, fragmented social media landscapes with platforms like Discord and Mastodon
  3. Creators are facing challenges in standing out in the mass-creation of art facilitated by tools like ChatGPT and StableDiffusion

Claude's agentic future and the current state of the frontier models

Democratizing Automation • 277 implied HN points • 23 Oct 24
🕹 Technology Tech Trends
  1. Anthropic has released Claude 3.5, which many people find better for complex tasks like coding compared to ChatGPT. However, they still lag in revenue from chatbot subscriptions.
  2. Google's Gemini Flash model is praised for being small, cheap, and effective for automation tasks. It often outshines its competitors, offering fast responses and efficiency.
  3. OpenAI is seen as having strong reasoning capabilities but struggles with user experience. Their o1 model is quite different and needs better deployment strategies.

Personal Site Refresh

Software Design: Tidy First? • 176 implied HN points • 23 Jan 25
🕹 Technology Tech Trends
  1. Trying to manage many interests can be tricky, but it's important to embrace all parts of yourself. It helps to answer questions like 'What are you up to?' more honestly.
  2. A personal website can serve as a great way to showcase your thoughts and projects. It's like a digital home where you can share what you're passionate about.
  3. Adding new topics to your website can keep it fresh and engaging. It's a way to express your evolving interests and ideas.

Brazil Bailed on Twitter, and So Did I: The Vibes Are Off

What the Blurb • 2 HN points • 05 Sep 24
🕹 Technology Tech Trends
  1. Brazil's Supreme Court banning Twitter led to a big drop in users there, and many are trying out other platforms like Bluesky.
  2. Bluesky is gaining popularity because it has cool features that users find fun and engaging, unlike some other social media apps.
  3. The writer feels stuck between using both Threads and Bluesky, realizing social media is becoming more divided and siloed.

A New Study Compares RAG & Fine-Tuning For Knowledge Base Use-Cases

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 25 Mar 24
🕹 Technology Tech Trends
  1. Choosing technology depends on what you need to achieve. Focus on the specific requirements of the problem to find the right solution.
  2. Retrieval-Augmented Generation (RAG) is often more effective than Fine-Tuning for knowledge base tasks. It allows for quick searches and better accuracy.
  3. RAG systems are easier to update with new information compared to Fine-Tuned models. You can simply add new data without complex adjustments.

The Tech Buffet #14: A 3-Step Approach To Evaluate Your LLM-based Applications

The Tech Buffet • 79 implied HN points • 19 Nov 23
🕹 Technology Tech Trends
  1. Creating a good dataset is important to evaluate your LLM-based applications. You can use LLMs to generate questions and answers from your data, which helps in building a reliable test set.
  2. Running your application over this dataset helps you see how well it retrieves information and generates answers. Keeping track of the documents it finds will make your evaluation easier.
  3. Finally, you should measure how well your application retrieves relevant documents and how good the answers are. This will help you understand what works best and where you can improve.

Report: Virtual & Augmented Reality Test Drive

Brad DeLong's Grasping Reality • 153 implied HN points • 24 Nov 24
🕹 Technology Tech Trends
  1. The Apple VisionPro has some cool uses like immersive video and creating a personal space during flights. However, it's not worth the high price for most people.
  2. Facebook's new AR glasses are just a prototype and not available for sale yet. This means they aren’t really ahead of Apple, which could quickly release a practical product when ready.
  3. Users want more efficient apps and features for AR experiences, especially those that work better than iPad apps. There's potential for amazing virtual experiences, but the technology isn't fully there yet.