The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Test Post

Lukasz’s Substack • 0 implied HN points • 13 Mar 24
🕹 Technology Social media
  1. The post is a test to check functionality.
  2. The post contains a link to Lukasz Bartoszcze's Substack profile.
  3. Readers are encouraged to subscribe for free to receive new posts and support the author's work.

Coming soon

Lukasz’s Substack • 0 implied HN points • 12 Mar 24
🕹 Technology Newsletter
  1. ControlAI is a Substack newsletter coming soon by Lukasz Bartoszcze.
  2. The newsletter can be accessed at controlai.substack.com.
  3. Lukasz Bartoszcze's Substack will be available for subscription on March 12, 2024.

Turns out the internet is real life after all

Links I Would Gchat You If We Were Friends • 0 implied HN points • 04 Mar 22
🕹 Technology Social media Internet culture Algorithm Digital Content E-commerce
  1. TikTok's recommendation algorithm and user engagement lead to content that is titillating and participatory, influencing the way users consume information.
  2. The increase in social media users has led to a higher volume of content being created and shared, impacting how information and narratives spread, especially in times of conflict.
  3. The perception of social media has shifted significantly over the years, with mainstream media now acknowledging the importance of the social media narrative in shaping public opinion and influencing beliefs.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Intel's mess, SpaceX's shiny new valuation, and the two-horse AI race

Alex's Personal Blog • 0 implied HN points • 03 Dec 24
🕹 Technology AI Startups Investing Economics Space
  1. Intel is facing tough times in the chip market, while many new startups are emerging to take its place. This situation shows that even when a big player struggles, new ideas can grow.
  2. SpaceX's valuation has jumped significantly recently, suggesting investors believe in its future plans. This rapid increase is thought to be connected to Musk's influence and potential future benefits.
  3. The US is leading in venture capital for AI and tech, while China's investment and economic situation seem less stable. The growing gap indicates that the US may have a better chance of leading in the future of AI.

Online jellyfish

Links I Would Gchat You If We Were Friends • 0 implied HN points • 11 Mar 22
🕹 Technology Translation Social media Online Activism Virtual reality Crypto
  1. Google Translate has become more accurate and useful in global communication, especially in conflict situations.
  2. Efforts like Squad3o3 aim to combat propaganda by sending messages to random Russians, using tools and Google Translate.
  3. Although Google Translate has improved, it still has flaws in communicating important or complex information in various languages.

Video: SRE, Demystified

Certo Modo • 0 implied HN points • 05 Jun 23
🕹 Technology Education
  1. The video is about demystifying Site Reliability Engineering (SRE) and provides a comprehensive introduction to SRE practices.
  2. The talk was presented at the Boston DevOps Meetup by Amin Astaneh.
  3. It serves as a valuable resource for individuals looking to understand SRE concepts and starting their own teams.

Ballyhoo and sorcery

Links I Would Gchat You If We Were Friends • 0 implied HN points • 13 May 22
🕹 Technology Cryptocurrency Social media Virtual reality Apps Internet Trends
  1. Crypto market crashes can have significant impacts beyond just wealthy investors, affecting low- and middle-income individuals as well.
  2. New trends in various industries, like fitness, funeral services, and virtual reality moderation, continue to shape and disrupt different aspects of life.
  3. Online communities for investments like cryptocurrency can sometimes lead to negative consequences, especially for those looking for a way out of poverty.

The humans in machines

Links I Would Gchat You If We Were Friends • 0 implied HN points • 18 Jun 22
🕹 Technology AI Ethics Virtual reality Social media Artificial Intelligence
  1. AI like LaMDA is not actually sentient, despite claims suggesting otherwise. When interpreting AI responses, we might 'impute meaning where there is none.'
  2. We have a tendency to anthropomorphize machines, attributing human qualities to them. This can lead to misinterpretations and false assumptions about AI capabilities.
  3. Despite fears of machines taking over, the reality is that AI does not possess feelings, emotions, or the ability to think like a human. It's essential to understand the limitations of AI technology.

Platform Governance and the Rural-Urban Divide

Platform Papers • 0 implied HN points • 15 Jun 22
🕹 Technology Platform Governance Digital Platforms E-commerce
  1. Rural entrepreneurs struggle more with algorithmic changes on digital platforms, affecting platform governance
  2. Offline factors like local economic and social conditions impact how entrepreneurs navigate online business environments
  3. Clear communication and access to high-quality information sources are crucial for rural entrepreneurs' success on digital platforms

A Walk-Through of String Search Algorithms

Photon-Lines Substack • 0 implied HN points • 22 Nov 24
🕹 Technology Algorithms Computing Data Structures Software Development Programming
  1. String search algorithms are important for everyday tasks like searching in browsers and filtering emails. They help make these tasks fast and easy, saving us time and effort.
  2. The Boyer-Moore algorithm is popular because it skips unnecessary comparisons by starting the search from the end of the pattern. This makes it much faster than simpler methods.
  3. The Robin-Karp algorithm uses hashing to represent patterns and text, which speeds up the search process. It's especially useful when you need to find multiple patterns quickly.

3 AI hacks you can try today

ppdispatch • 0 implied HN points • 27 Mar 26
🕹 Technology AI Software Development Programming Developer Tools Productivity Automation
  1. Run multiple AI models on the same coding task with their identities hidden and vote on the outputs. This lets you discover which model actually works for your codebase instead of trusting benchmarks.
  2. Start prompts with a line asking the AI to interview you first, for example "Before you begin, ask me any questions needed for context." Having the AI ask clarifying questions forces useful context to surface and dramatically improves results.
  3. Prioritize context engineering over clever prompts by feeding models relevant docs, code, user history, and live API data before asking anything. Giving the model real, focused context reduces hallucinations and yields much more accurate, tailored outputs.

Links is back! (Until the robots replace me.)

Links I Would Gchat You If We Were Friends • 0 implied HN points • 04 Feb 23
🕹 Technology AI Tech industry Generative AI ChatGPT Social media
  1. ChatGPT has rapidly advanced in capabilities, from writing speeches to passing law exams and even recruiting for cartels.
  2. The immersion of entertainment in today's world can blur the lines between reality and fiction, reducing people to mere characters.
  3. Amazon's product search experience has become convoluted, with many options and unclear distinctions, potentially to benefit third-party sellers

Chat Limitations, Rise of LLM’s, Generative UIs

Microfrontends, Architecture and Trade-offs • 0 implied HN points • 14 Apr 23
🕹 Technology AI UI Design Software Development Chatbots
  1. Consider the nature of the task to determine the most effective interaction mode, as chat may not always be optimal.
  2. The improvement of Large Language Models (LLMs) could lead to a world where UIs are generated on demand based on user intent.
  3. Generative UIs could self-assemble based on user requests and adapt to tasks, offering a dynamic and efficient user experience.

You drive me crazy

Links I Would Gchat You If We Were Friends • 0 implied HN points • 02 Jul 23
🕹 Technology AI Digital Technologies Internet Memory Artificial Intelligence
  1. Marriage involves accommodating each other's quirks, like someone's dependence on Google Maps, which can sometimes be frustrating.
  2. The ease of accessing information on the internet can lead to a phenomenon called the Google Effect, where people rely on online searches for everyday facts instead of memorizing them.
  3. Experts have concerns that the widespread use of AI and digital technologies could potentially lead to a decline in people's cognitive skills and memory.

The Nextjs that runs on Vercel is not the same that runs on your infrastructure

Microfrontends, Architecture and Trade-offs • 0 implied HN points • 03 Jan 24
🕹 Technology Frameworks Serverless Containers Scalability Infrastructure
  1. When using modern frameworks like NextJS or Remix, running on serverless infrastructure is common and efficient.
  2. Deploying a NextJS app on Vercel leverages serverless/edge functions, leading to better scaling without nodejs event loop limitations.
  3. For more control and customization, consider options like deploying NextJS in a containerized, auto-scalable environment or creating a custom framework using vite-plugin-ssr.

An undifferentiated muck of ~content~

Links I Would Gchat You If We Were Friends • 0 implied HN points • 24 Jul 23
🕹 Technology Generative AI Journalism Artificial Intelligence
  1. Generative AI tools are becoming more prevalent in journalism, potentially changing the landscape of news creation.
  2. Journalists are finding practical uses for ChatGPT in tasks like organizing background material, brainstorming interview questions, and checking blind spots in their stories.
  3. Using AI for editing text, summarizing meeting transcripts, and enhancing workflow efficiency are emerging trends in the journalism field.

QF Learning Management System Exploration

Quantum Formalism • 0 implied HN points • 15 May 23
🕹 Technology Survey Mathematics Courses Feedback
  1. There is a plan to run more mathematics courses and applied topics relevant to mathematical courses to enhance the QF learning experience.
  2. The team is considering implementing a learning management system to provide QF learners with access to all courses in one place for a better asynchronous learning experience.
  3. A survey has been launched to gather feedback on the necessity of a learning management system and to explore open-source systems for customization and hosting.

[in case you missed it] Data Science Weekly - Issue 464

Data Science Weekly Newsletter • 0 implied HN points • 16 Oct 22
🕹 Technology Data science Artificial Intelligence Machine Learning Data Analysis Software Development
  1. Building a community of R users can greatly enhance collaboration and knowledge sharing, especially in specialized fields like pharmaceuticals.
  2. Generating research ideas often starts with identifying gaps in existing literature, which can be guided by specific frameworks to improve the quality of ideas.
  3. Data cleaning is crucial for model accuracy, and its success relies on effective ETL processes and organizational commitment to maintaining high-quality data.

[in case you missed it] Data Science Weekly - Issue 461

Data Science Weekly Newsletter • 0 implied HN points • 25 Sep 22
🕹 Technology Data science Artificial Intelligence Machine Learning Natural Language Processing Database Management
  1. NLP is a growing field, but using it effectively is still a challenge for many. People are eager to learn how to make NLP useful in their work.
  2. Curating social media accounts can be a rewarding experience. It helps to connect with a community and share insights in fun ways.
  3. Generative AI can boost productivity and creativity significantly. It has the potential to create a lot of economic value by making workers faster and more effective.

The App Store's Opportunity: Developer Financing

High Absolute Value • 0 implied HN points • 25 Jan 24
🕹 Technology App Store
  1. Apple is unlikely to face serious threats to their App Store business despite reduced commissions in the EU.
  2. Developers could benefit from revenue-based financing opportunities on the App Store.
  3. Apple has the resources and data to offer developers financing options to help them grow their businesses and stay on the platform.

[In case you missed it] Data Science Weekly - Issue 450

Data Science Weekly Newsletter • 0 implied HN points • 10 Jul 22
🕹 Technology AI Data science Machine Learning Deep Learning Data Engineering
  1. AI forecasting contests are being used to predict future progress in AI, showing how forecasts can be evaluated based on actual results.
  2. The demand for analytics engineers is growing, shifting from a less desirable role to one of great interest in the job market.
  3. A new multilingual translation model called NLLB-200 helps translate between 200 low-resource languages, making high-quality translation more accessible.

Cyber Security Firm Discloses Four Critical Vulnerabilities That Affect Millions of Apps on the Apple Platform

Apple Wire • 0 implied HN points • 03 Jul 24
🕹 Technology Cyber Security Software Development Open Source Information Security Vulnerabilities
  1. CocoaPods, a tool used by many Apple apps, has serious security flaws that could let hackers inject harmful code into millions of apps. This is a big issue because it affects about 3 million applications.
  2. The vulnerabilities allow attackers to access sensitive information on users' devices, like private messages and medical info. This shows how valuable open-source code can be when it's not properly secured.
  3. It's important for developers to be cautious about third-party code and regularly check their dependencies. They should make sure they're using well-maintained libraries and avoid unclaimed or orphaned code to keep their apps safe.

#36: When AI Starts Paying Rent

OSS.fund Newsletter • 0 implied HN points • 13 Nov 25
🕹 Technology AI Data Business Software Innovation
  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.

🎓 Making (reasonably) good decisions quickly; Using a third Entity instead of a Join Table

Become a Senior Engineer • 0 implied HN points • 14 Mar 24
🕹 Technology Decision-making Database Management APIs Programming
  1. Making decisions quickly is crucial for unblocking progress and enabling action, learning, and iteration.
  2. When dealing with complex decisions, prioritize understanding the problem, collaborating with your team, and utilizing prototyping for informed choices.
  3. Using a third entity instead of a join table in relational databases can better reflect domain logic and avoid compatibility issues with frameworks.

[in case you missed it] Data Science Weekly - Issue 360

Data Science Weekly Newsletter • 0 implied HN points • 18 Oct 20
🕹 Technology AI Ethics Machine Learning Data science Computer Vision Human-computer interaction
  1. Making machine learning models run fast on GPUs is important for research and production. It can help speed up improvements and make coding more efficient.
  2. Companies like BMW are creating ethical guidelines for AI use to ensure it benefits people. This is a proactive step to use AI responsibly.
  3. There are various learning resources and tools available for anyone interested in data science. These can help you build a solid foundation and advance your career.

GPT, Web Interfaces and The Horse Manure Crisis

Tomasz’s Substack • 0 implied HN points • 26 Mar 23
🕹 Technology AI Web Development User Interface Innovation Technology impact
  1. Extrapolating issues solely based on current trends can be risky, as technological advancements can disrupt those predictions.
  2. GPT technology has the potential to revolutionize web interfaces, simplifying designs and making interactions more user-friendly.
  3. Just like the internal combustion engine addressed the horse manure issue, GPT may render current clunky web interfaces obsolete, paving the way for more intuitive online experiences.