The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Why This Old Python Performance Trick Doesn’t Matter Anymore

Confessions of a Code Addict • 264 implied HN points • 28 Jun 25
🕹 Technology Programming Software Optimization Python Development
  1. Performance optimization in Python has changed a lot due to improvements in the Python virtual machine. Tricks that helped in the past may not be needed anymore.
  2. Creating local aliases for functions can speed up access, but recent Python updates have made this less important. In many cases, the performance difference is small now.
  3. Not all lookups are the same—using direct local references or importing functions can still be faster than accessing them through module paths. Always consider readability vs. speed based on your code's needs.

What's up Python? 3.13 is out, t-strings look awesome, dep groups come in handy...

Bite code! • 856 implied HN points • 29 Oct 24
🕹 Technology Software Programming Development Updates Tools
  1. Python 3.13 has been released, bringing many new features like better error messages and a new JIT compiler. It's exciting, but users are advised to hold off on upgrading until next year.
  2. Template strings (or t-strings) are introduced, offering a cleaner way to create formatted strings that can be used in various situations. This could help prevent mistakes when handling string formatting for tasks like translation or logging.
  3. New proposals like external wheel hosting and dependency groups in pyproject.toml make it easier to manage packages and their dependencies, especially for larger libraries.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Odds and Ends #55: The left needs to learn to love AI

Odds and Ends of History • 603 implied HN points • 29 Jan 25
🕹 Technology AI Infrastructure Autonomous Vehicles Logistics Government
  1. The left is often more skeptical about AI compared to the right. Understanding and embracing AI could help reshape perceptions and foster positive changes.
  2. There are important logistics infrastructures that many people overlook in their everyday lives. These systems keep society running smoothly, and it's worth acknowledging their significance.
  3. Google's plans for autonomous vehicles are becoming clearer, which suggests a shift in their business approach. This could mean more practical applications of self-driving technology in the near future.

Bluesky follower sales websites

Conspirador Norteño • 52 implied HN points • 07 Dec 25
🕹 Technology Social media Cybersecurity Bots Content Moderation
  1. Websites selling Bluesky followers, likes, and reposts have multiplied and are easy to find with a simple search as the platform grows.
  2. Many of those sites look nearly identical, use the same chat widgets (often backed by LLMs), and rely on similar hosting, which suggests shared operators or common tooling.
  3. Fake follower accounts show a repetitive bio pattern like “X based, interested in Y,” and thousands were created in bulk, indicating they were manufactured for sale.

Teaching Small Language Models to Reason

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 10 Jul 24
🕹 Technology Artificial Intelligence Machine Learning Data science Natural Language Computing
  1. Using Chain-Of-Thought prompting helps large language models think through problems step by step, which makes them more accurate in their answers.
  2. Smaller language models struggle with Chain-Of-Thought prompting and often get confused because they don't have enough knowledge and understanding like the bigger models.
  3. Google Research has a method to teach smaller models by learning from larger ones. This involves using the bigger models to create helpful examples that the smaller models can then learn from.

The Open/Closed/Open Principle

Software Design: Tidy First? • 1634 implied HN points • 12 Mar 24
🕹 Technology Software Design Revolutions Isolation Experimentation
  1. In software design, there are ordinary phases (small changes) and revolutionary phases (fundamental changes) - understanding when each is needed is important.
  2. Revolutionary design violates the open/closed principle by requiring new elements and relationships that don't fit with the existing design.
  3. Revolutionary changes in design require different values and care compared to ordinary design - they are essential for accommodating new types of features.

Your AI friend- Brought to you by your friendly neighborhood mega corporation.

Experiments with NLP and GPT-3 • 23 implied HN points • 17 Jan 26
🕹 Technology AI Ethics Regulation Advertising Privacy Mental health
  1. Modern LLM chatbots can create deep, parasocial bonds that leave vulnerable people emotionally dependent and at risk of harm, and adding ads to those relationships makes that danger far worse.
  2. Economic pressure is pushing AI from search-style results to single "answer engines," which incentivizes native, trust-exploiting advertising that users are less likely to recognize as persuasion.
  3. Protecting people requires systemic fixes: legally imposing fiduciary duties for companion AIs, forcing clear ad disclosures and cognitive breaks, recognizing neurorights, building public ad-free AI options, auditing models, and holding companies liable for harms.

Distribution is not a "moat" in AI

Enterprise AI Trends • 253 implied HN points • 03 Jul 25
🕹 Technology AI Trends Software Market Analysis Product Development Business strategy
  1. Distribution alone doesn't ensure success in AI markets. Just because something is popular doesn't mean it will protect a business from competition.
  2. Relying on trendy coding styles can actually hurt a company by increasing competition and reducing profits. It's like speeding without knowing where you're going.
  3. Established companies with strong relationships can benefit more from new trends than new players. They already have a secure place in the market.

This New Internet Thing, Chapter 31

Life Since the Baby Boom • 691 implied HN points • 19 Dec 24
🕹 Technology Tech History Silicon Valley Startups Internet Investment
  1. Cassie at Palm is excited about a new product called Touchdown but worries about funding for its launch. They found a partner to help manufacture it, which is a positive step.
  2. Len's career is taking a turn after Netscape's success, leading him to a possible job managing a new Internet-focused mutual fund. He’s starting to realize he enjoys this direction more than retirement.
  3. The bond between Len and his daughter Janet grows as they navigate their new potential successes together. Both are starting to embrace a more ambitious and wealthy future.

What is Retrieval Augmented Generation (RAG)

What's AI Newsletter by Louis-François Bouchard • 275 implied HN points • 10 Jan 24
🕹 Technology Artificial Intelligence AI Models Language Models Ethics Innovation
  1. Retrieval Augmented Generation (RAG) enhances AI models by injecting fresh knowledge into each interaction
  2. RAG works to combat issues like hallucinations and biases in language models
  3. RAG is becoming as crucial as large language models (LLMs) and prompts in the field of artificial intelligence

Issue #2 - The Data Ecosystem: Where do you even start?

The Data Ecosystem • 119 implied HN points • 21 Apr 24
🕹 Technology Data science Machine Learning Data Engineering Data Governance Analytics
  1. Data can be really complicated, and it's easy to miss how everything connects. People often focus on their own area and forget about the bigger picture of the data ecosystem.
  2. Chief Data Officers (CDOs) are important but can only do so much to fix data issues. They deal with many challenges, including limited power, lack of experience, and politics within the organization.
  3. To improve in the data field, we need to recognize the gaps in our knowledge, prioritize what to focus on, and continuously educate ourselves in both our own areas and related data domains.

The Future of Prompt Engineering

Gradient Flow • 559 implied HN points • 04 May 23
🕹 Technology AI NLP Modeling Data Analysis Tools
  1. NLP pipelines are shifting to include large language models (LLMs) for accuracy and user-friendliness.
  2. Effective prompt engineering is crucial for crafting useful input prompts tailored to generative AI models.
  3. Future prompt engineering tools need to be interoperable, transparent, and capable of handling diverse data types for collaboration and model sharing.

Polarization and social media : how it works and what we can fix

techandsocialcohesion • 199 implied HN points • 24 Feb 24
🕹 Technology Social media Algorithm Design Tech governance Peacebuilding
  1. Companies on social media make money when users stay longer, often through engaging and polarizing content.
  2. Algorithmic extremism on social media rewards and amplifies extremist content, resulting in more polarization in conversations.
  3. Promoting pro-social design governance and tools on social media can help build cohesion, encourage understanding, and bring out the best in humanity.

Rivian's CEO on Elon's Influence, The Plan For Profitability, And The Grid’s Risky Future

Big Technology • 750 implied HN points • 21 Nov 24
🕹 Technology Electric Vehicles Sustainability Innovation Manufacturing Energy Policy
  1. Rivian wants to make electric cars appealing to everyone, not just one type of buyer. They're focused on inviting all people into the electrification movement and fostering a diverse community of users.
  2. The company is dealing with challenges in becoming profitable while also launching new vehicles. They're now working on lowering costs and improving supply chains to achieve positive cash flow.
  3. Rivian believes that moving away from fossil fuels is essential for the future. They see a big responsibility in transitioning to renewable energy and are committed to creating products that contribute to this change.

Spotlight: Alexandra Vidyuk - Founder @ Space Ambition & Venture Partner @ Aloniq

Space Ambition • 179 implied HN points • 08 Mar 24
🕹 Technology Space Tech Investments Innovation Entrepreneurship
  1. Alexandra Vidyuk switched from banking to spacetech because she wanted to follow her childhood dream of exploring space. She believes the space industry can help solve big problems like climate change.
  2. The space industry needs more people from different backgrounds to help it grow. It's not just about rockets; many skills can be applied in this field, making it accessible to more people.
  3. If someone wants to move into spacetech, they should start learning about it through books and courses. Connecting with industry professionals and thinking about how their existing skills can fit into this field is also important.

Latest open artifacts (#13): The abundance era of open models

Democratizing Automation • 182 implied HN points • 11 Aug 25
🕹 Technology AI Models Open Source Machine Learning Data science Innovation
  1. The open-weight AI ecosystem has become a competitive market with many quality releases over the past year. This means there's a lot more choice and better options available now.
  2. Open models are gaining popularity because they are trusted, low-cost, and often better than closed models. Many users are starting with them instead of going for expensive alternatives.
  3. While text-based models are commonly discussed, there are also many valuable multimodal and specialized models that show the strength of the open AI ecosystem. It's exciting to see growth in these areas too.

The Sequence AI of the Week #793: DeepSeek's New Paper: Storing 100B Parameters on CPU RAM

TheSequence • 21 implied HN points • 21 Jan 26
🕹 Technology Artificial Intelligence Machine Learning Neural Networks Model Architecture AI Systems Hardware Memory Systems Scalability
  1. The current LLM trend is to scale models huge and use sparsity tricks like Mixture-of-Experts so only a small part of the model activates per token, reducing FLOPs.
  2. Reusing an old technique — storing large, static lookup-like memories on CPU RAM and conditionally accessing them — can let models hold around 100B parameters off-GPU and avoid expensive dense computation.
  3. The key insight is that many LLM costs come from simulating static lookup tables with neural computation, so replacing that simulation with real conditional lookups makes models much more efficient.

DeFi: Portal Network raises $34MM to bypass bridge hacks - will it also unify modular chains?

The Fintech Blueprint • 235 implied HN points • 01 Feb 24
🕹 Technology DeFi Digital Assets NFTs
  1. The system of bridging in DeFi faces challenges like inefficiencies, centralization, and risky synthetic asset replication
  2. Portal Network raised $34MM to create a decentralized exchange network without the need for bridges or custodians
  3. Portal Network's innovative features aim to address liquidity fragmentation and inefficiencies in cross-chain swaps

Deploying a Forecasting Bot

Abstraction • 29 implied HN points • 05 Jan 26
🕹 Technology AI Machine Learning Forecasting Software Data science Experimentation Cost Optimization
  1. A structured, reproducible forecasting pipeline models how strong human forecasters think so methods can be tested and refined systematically.
  2. Huge cost cuts made iteration affordable: per-question cost dropped from $0.109 to $0.004 (about 27×), enabling many more experiments across the tournament.
  3. The team accepts a likely short-term performance hit by using cheaper models and fewer tokens because the priority is learning which pipeline parts truly matter using the tournament as a feedback loop.

Import AI 341: Neural nets can smell; technofeudalism via AI; China releases another solid open access model

Import AI • 459 implied HN points • 25 Sep 23
🕹 Technology AI Research Machine Learning Language Models Data Analysis Artificial Intelligence
  1. China released open access language models trained on both English and Chinese data, emphasizing safety practices tailored to China's social context.
  2. Google and collaborators created a digital map of smells, pushing AI capabilities to not just recognize visual and audio data but also scents, opening new possibilities for exploration and understanding.
  3. An economist outlines possible societal impacts of AI advancement, predicting a future where superintelligence prompts dramatic changes in governance structures, requiring adaptability from liberal democracies.

Import AI 335: Synth data is a bad AI drug; Facebook changes the internet with LLaMa release; and Chinese researchers use AI to figure out chip design

Import AI • 459 implied HN points • 31 Jul 23
🕹 Technology AI Data Social media Semiconductors AI Ethics
  1. Synthetic data during AI training can be harmful if not used in moderation, as shown by researchers from Rice University and Stanford University
  2. Chinese researchers have successfully used AI to design semiconductors based only on input and output data, demonstrating the potential for economic and national security implications
  3. Facebook has released Llama 2, a powerful language model with freely available weights, potentially changing the landscape of AI deployment on the internet

LangChain Chatbot Framework With Retrievers

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 99 implied HN points • 07 May 24
🕹 Technology AI Chatbots Development Software Programming
  1. LangChain helps build chatbots that can have smart conversations by using retrievers for specific information. This makes chatbots more useful in different fields.
  2. Retrievers are tools that find documents based on user questions, providing relevant information without needing to store everything. They help the chatbot give accurate answers.
  3. A step-by-step example shows how to use LangChain with Python, making it easier to create a chatbot that answers user inquiries based on real-time data.

Rage against the machine

Logging the World • 458 implied HN points • 14 Jul 23
🕹 Technology Social media Content creation Monetization Audience Building Online behavior
  1. The competition for attention on social media has evolved over time, with platforms now offering monetary rewards for content creators based on ad views.
  2. Twitter's new payment system incentivizes generating 5 million page impressions in 3 months, potentially leading to a culture of provocative and controversial content for profit.
  3. Platforms like Substack provide an alternative space for creators to build an audience and share longer, thoughtful pieces outside the cycle of inflammatory content and hate clicks.

Why AI Agents Feel Contrived and Useless, Despite the Impressive Demos

Enterprise AI Trends • 612 implied HN points • 16 Jan 25
🕹 Technology AI Software Engineering Innovation Automation
  1. AI agents work best in simple tasks, but they might confuse people in more complex situations. Humans need to be involved to understand the creative process.
  2. When AI does too much on its own, it can be harder for people to trust and evaluate its work. This can lead to mistakes that are hard to spot later.
  3. Businesses usually prefer working with guided AI tools instead of fully autonomous agents. They want reliability and clear understanding over just speeding things up.

On the Executive Order

Don't Worry About the Vase • 2195 implied HN points • 01 Nov 23
🕹 Technology AI Innovation Privacy
  1. A lot of reports will be written by government employees and companies on AI-related topics.
  2. Government is laying the foundation for potential future regulation of AI with a focus on safety precautions and reporting requirements.
  3. The Executive Order aims to promote innovation, attract AI talent, support workers, advance equity and civil rights, protect privacy, and strengthen American leadership in AI globally.

The great AI forecasting divide

Faster, Please! • 548 implied HN points • 15 Feb 25
🕹 Technology AI Forecasting Economics Innovation Society
  1. There is a debate about whether AI will change society in a big way or just a small one. Some experts think it could be revolutionary, while others see it as an evolution of technology.
  2. Economists base their predictions about AI on how past technologies have changed society. They might not expect the rapid advances that could happen sooner than anticipated.
  3. The discussion about AI's impact raises questions about our future and how quickly we might see changes in our lives and jobs because of intelligent machines.

Our Human Creativity Is Becoming More Uniform Due To ChatGPT

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 09 Jul 24
🕹 Technology AI Creativity Innovation Machine Learning Human-Machine Interaction
  1. Using ChatGPT for creativity can lead to less unique ideas among different users. This means many people might come up with similar concepts.
  2. People might feel more creative while using ChatGPT, but this doesn't always result in original or diverse thoughts.
  3. Reliance on a single AI tool can limit the creative process. It's important for new tools to encourage individual input instead of providing complete solutions right away.

Canva's New AI-Magic for Writers🪄 — Here's What You Need To Know (With Video)

Kristina God's Online Writing Club • 419 implied HN points • 27 Oct 23
🕹 Technology AI Tools Graphic design Content creation Online business Tutorials
  1. Canva has launched new AI tools that help writers create and manage content more easily. They offer features like text-to-image and text-to-video generators, making creative tasks simpler.
  2. The tutorial includes a step-by-step guide to using these new features, which can help improve online writing and design skills. It’s a great resource for anyone looking to elevate their creative projects.
  3. There's an opportunity to win a coaching session by commenting on the YouTube video, adding an interactive element for users to engage with the content. It's a fun way to connect and learn more.

✨🤖 Age of AI, meet the Robot Revolution

Faster, Please! • 731 implied HN points • 06 Dec 24
🕹 Technology AI Robotics Automation Innovation Future Trends
  1. AI robots are becoming much more common and can do many tasks themselves, like moving and sorting packages. This technology is quickly transforming how we work in places like warehouses.
  2. By 2035, there might be about 1.3 billion AI robots in use. This will grow to around 4 billion by 2050, showing a huge increase in robot presence in daily life.
  3. The combination of AI and robots is expected to change many aspects of our lives and job environments in the near future, making them an important part of our technological landscape.

Taming the Unstructured Beast: Data Tools for Unleashing Generative AI

Gradient Flow • 139 implied HN points • 04 Apr 24
🕹 Technology AI Data Management Data Tools Generative AI
  1. Unstructured data processing is crucial for AI applications like GenAI and LLMs. Extracting and transforming data from various formats like HTML, PDF, and images is necessary to leverage unstructured data.
  2. Data preparation involves tasks like cleaning, standardization, and enrichment. This enhances data quality, making it more suitable for AI applications like Generative AI.
  3. Data utilization in AI integration includes retrieval, visualization, and model serving. Efficient querying, visualizing data trends, and seamless integration of data with AI models are key aspects of successful AI implementation.

🚪 How we built a social listening tool to scratch our own itch

No-Code Exits • 255 implied HN points • 19 Jan 24
🕹 Technology No-Code Tools User Acquisition Entrepreneurship
  1. The founders turned an irritating manual process into a successful business by building an automated social listening tool.
  2. The initial version of the product was developed in just two weeks using a combination of no-code tools.
  3. User acquisition strategies included leveraging social media marketing, networking in marketing communities, and cold-outreach using their own product.