The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

QWERTY and flirty

Links I Would Gchat You If We Were Friends • 0 implied HN points • 15 Sep 16
🕹 Technology Algorithms Internet regulation Trolling Social media
  1. Algorithms struggle to understand our unique preferences based on quirks and history, often leading to poor recommendations.
  2. Access to obscure information like patents online showcases the principle of public online availability, even if the content may seem irrelevant to most people.
  3. Web series like 'Marble Hornets' demonstrate the potential of low-budget creepy web content, highlighting the creativity of individuals in digital storytelling.

"Links" Weekend Edition: Feed the trolls

Links I Would Gchat You If We Were Friends • 0 implied HN points • 22 Apr 16
🕹 Technology Social media Online Abuse Art E-commerce Artificial Intelligence
  1. Snapchat's face-swap feature is so disturbing it once featured in an epic poem, reflecting the app's ability to melt faces like warm wax
  2. The internet culture of trolls and online abuse is highlighted in various articles that explore feeding trolls, Victorian teachings on online abuse, and the man behind 8chan
  3. A collection of diverse and intriguing reads on digital culture is provided in a Friday newsletter, offering readers a chance to catch up and unplug

[in case you missed it] Data Science Weekly - Issue 399

Data Science Weekly Newsletter • 0 implied HN points • 18 Jul 21
🕹 Technology Data science Machine Learning AI Analytics Data Visualization
  1. There's a growing movement called 'Data for Good', which focuses on using data to help improve society. It's important to understand the different groups and initiatives within this space.
  2. Peer review in data science is crucial, especially for startups, but the process can be tricky. It's good to learn from experiences about what works and what doesn't.
  3. Big companies like Amazon collect a lot of data about their users, often more than people realize. It's important to be aware of how this data is being tracked and used.

Basicallyyy visions of armageddon

Links I Would Gchat You If We Were Friends • 0 implied HN points • 20 Oct 16
🕹 Technology Internet Apps Social media Cybersecurity Fake news
  1. In the attention economy, our focus is the real commodity, and we often end up as the losers.
  2. Creators of addictive apps like BJ Fogg question whether they're truly improving the world or just aiming to make money.
  3. Understanding how Russia executed a significant election hack sheds light on the complexities of the ongoing situation with Wikileaks and the US election.

Real talk:

Links I Would Gchat You If We Were Friends • 0 implied HN points • 13 Apr 16
🕹 Technology Internet Social media Innovation Digital Culture Online community
  1. The secret rules of the Internet are enforced on whims, leading to varying perceptions of censorship and moderation.
  2. Using a flip phone in 2016 can help you engage more with the world and reduce distractions.
  3. Staying in has become the new trend due to the convenience of the Internet, making it unnecessary to leave the house for various activities.
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[in case you missed it] Data Science Weekly - Issue 395

Data Science Weekly Newsletter • 0 implied HN points • 20 Jun 21
🕹 Technology Data science Machine Learning Artificial Intelligence Analytics Programming
  1. TinyML is a growing field with many projects and papers exploring its potential. It's basically about running machine learning on small devices.
  2. There are different technologies like Dask and Vaex for processing large datasets in Python. Each has its own strengths, so it's good to know which one fits your needs.
  3. Understanding multi-objective optimization can help you make better decisions in complex situations. It's about looking at several goals at once instead of just one.

Is this the future we want, you guys?!

Links I Would Gchat You If We Were Friends • 0 implied HN points • 27 Oct 16
🕹 Technology Social media Dating Apps Silicon Valley Internet Art
  1. The pre-Internet history of social media was kinder and better, with no commercial mandates or indexes.
  2. Research shows people are becoming less satisfied with dating apps, raising questions about the fault lying in ourselves, phones, or stars.
  3. Silicon Valley is disrupting various aspects of life, including food with innovations like DNA-based meal planning.

Slight Reliability Ep 70: Meta SRE

Certo Modo • 0 implied HN points • 09 Oct 23
🕹 Technology Podcasts
  1. The post discusses the experience in Meta's Production Engineering and a story about almost causing a server room fire early in the career.
  2. The content is part of the Slight Reliability Podcast episode 70 on Meta SRE.
  3. The author, Amin Astaneh, shares insights and anecdotes related to reliability engineering and server management.

[in case you missed it] Data Science Weekly - Issue 391

Data Science Weekly Newsletter • 0 implied HN points • 23 May 21
🕹 Technology Data science Machine Learning Artificial Intelligence Computer Vision Algorithms
  1. Major League Baseball is testing an automated system to call balls and strikes in games. This system aims to make calls accurately and fast so umpires can operate efficiently.
  2. A new tool called Flat makes it easy to manage and version datasets on Git and GitHub. This helps developers work more quickly with data while keeping track of changes.
  3. Twitter improved its image cropping algorithm to better serve all users. After receiving feedback, they are analyzing the model for fairness and accuracy.

Chasin' the lulz

Links I Would Gchat You If We Were Friends • 0 implied HN points • 03 Nov 16
🕹 Technology Social media Internet Influence Fake news
  1. The Internet has made it easier for people to lose touch with reality by overwhelming us with information, causing us to gravitate towards what confirms our beliefs.
  2. During the Trump/Clinton election, it seemed like everyone became trolls, focusing on humor that was mean-spirited and cynical.
  3. People are flocking to remote areas they see on Instagram, causing issues for those places and sometimes displaying disrespectful behavior.

You’re going to have to gaslight this man.

Links I Would Gchat You If We Were Friends • 0 implied HN points • 17 Apr 20
🕹 Technology Social media E-commerce Data Privacy Online Communities
  1. We are constantly manipulated by websites using various tactics like 'dark patterns' to steer our actions.
  2. Some websites are adapting their designs to actually encourage positive behavior, like Instagram showing inspiring photos and Amazon discouraging needless shopping.
  3. The pandemic is accelerating the shift towards online shopping, potentially leading to more gig work and changing market dynamics.

[in case you missed it] Data Science Weekly - Issue 385

Data Science Weekly Newsletter • 0 implied HN points • 11 Apr 21
🕹 Technology Data science Machine Learning AI Analytics Automation
  1. Building a good machine learning rig can be expensive. But with careful planning and research, you can create an effective setup.
  2. Understanding adaptive data analysis is important for trusting your models. New methods are being developed to address issues with model evaluation.
  3. Model compression techniques can help enhance performance. This includes strategies like quantization and knowledge distillation to make models smaller and faster.

[in case you missed it] Data Science Weekly - Issue 384

Data Science Weekly Newsletter • 0 implied HN points • 04 Apr 21
🕹 Technology AI Data science Machine Learning Visualization NLP
  1. AI is improving tools like Google Maps, making them smarter and more helpful with real-time updates.
  2. It's important to focus on building effective machine learning systems that provide real value, instead of just labeling everything as AI.
  3. Data can be powerful for decision-making, but relying too heavily on numbers can lead to mistakes and misinterpretation.

[in case you missed it] Data Science Weekly - Issue 383

Data Science Weekly Newsletter • 0 implied HN points • 28 Mar 21
🕹 Technology AI Machine Learning Data science Programming Software Development
  1. AI is making strides in drug discovery by addressing important problems, and there's great research available on the topic.
  2. Jupyter notebooks are loved for data exploration but can be tricky for production use, leading to mixed feelings among data scientists and machine learning engineers.
  3. Detecting names in user messages is a complex challenge that's important for creating better virtual assistants.

20241208

Curious futures (KGhosh) • 0 implied HN points • 08 Dec 24
🕹 Technology AI Misinformation Digital Tools User Experience Data Privacy
  1. Talking to yourself can help you stay motivated and clear-minded. It's like having your own brainstorming session without others judging you.
  2. Creating digital tools to share knowledge can go wrong if not managed carefully. What starts as helpful can quickly turn into misinformation.
  3. In a world filled with uncertainty, a little humor and self-awareness can help you cope. Embracing the strange aspects of life might make it easier to tackle challenges.

Expedited Vote for the February 2025 + Post Topic

Computer Ads from the Past • 0 implied HN points • 24 Feb 25
🕹 Technology Computers Advertising History Innovation Product Reviews
  1. The post mentions that there will be a poll for the next topic, and it's only open for three days. Make sure to participate quickly if you have a topic in mind.
  2. There is a reminder about an upcoming post on the Speedcal Laser Color Computer that should be delivered soon. It's important to stay engaged with future content.
  3. A free trial is offered for new subscribers, allowing access to the full post archives for a week. It's a good way to explore the content before committing.

Continuous retraining and formalizing the model aging framework

Santiago and the ML Models • 0 implied HN points • 19 Jun 23
🕹 Technology Data science Machine Learning
  1. Santiago Víquez is formalizing a model aging framework in his Master's thesis
  2. Improvements in the temporal degradation framework include using cross-validation for model training and validating models based on test set error
  3. Continuous retraining experiments show that model performance may be best before any updates are implemented

Howdy, Gaia!

Button Pusher • 0 implied HN points • 03 Feb 23
🕹 Technology Software Development Writing
  1. Software development is a field where ideas like Clean Code, OOP, TDD, XP, and more are useful tools, but not absolute truths.
  2. There are endless ways for a programmer to create a functional program, showing that the field is still evolving and full of possibilities.
  3. The act of writing and exploring different software engineering paths is fulfilling and can lead to personal philosophy insights.

More interesting things in robotics this week

Robots & Startups • 0 implied HN points • 31 Jul 21
🕹 Technology Robotics Insurtech Biotechnology SaaS Artificial Intelligence
  1. Flock Ltd. secured $17m in Series A funding for providing intelligent insurance to drone operators and commercial motor fleets.
  2. Strateos, a biotechnology company, raised an undisclosed amount in Series B funding to offer robotic solutions for biology labs.
  3. Cyberdontics, a San Francisco developer, received $4m in seed funding for its work in...

What's WebAssembly?

Technically • 0 implied HN points • 06 Mar 24
🕹 Technology WebAssembly Programming Languages Performance Developer Tools
  1. WebAssembly allows developers to write code in faster languages like C++ and Rust that can run in the browser, solving performance limitations of JavaScript.
  2. Code running in the browser can only be written in JavaScript, leading to the development of WebAssembly to execute non-JavaScript code in the browser.
  3. WebAssembly can be used to offload specific parts of applications into modules that run faster, like using C++ or Rust code compiled into WebAssembly for more efficient operations.

Re: Elliptic Curve Cryptography

Quantum Formalism • 0 implied HN points • 30 Nov 23
🕹 Technology Cryptocurrency
  1. The Elliptic Curve Cryptography (ECC) course will start on December 13th, not November 13th as previously stated.
  2. The ECC course will be held on Wednesdays at 5 PM UK time, aligned with the ongoing quantum hardware course.
  3. Recordings of the live ECC course sessions will be freely available on YouTube, and registration is required for live participation.

Why Substack?

Button Pusher • 0 implied HN points • 20 Mar 24
🕹 Technology Platforms Content Moderation Online Discourse Community Engagement
  1. Substack allows controversial content like Nazi publications, sparking debate around free speech.
  2. Substack's Notes page has received criticism for promoting problematic and radicalizing content.
  3. Despite shortcomings, Substack provides a platform for quality content and meaningful discussions, distinguishing itself from other social media platforms.

[in case you missed it] Data Science Weekly - Issue 375

Data Science Weekly Newsletter • 0 implied HN points • 31 Jan 21
🕹 Technology Data science Machine Learning AI Software Programming
  1. Building a machine learning (ML) team starts small but can grow significantly. As projects develop, different challenges arise that require specific team structures to tackle them.
  2. Effective machine learning should help systems generalize beyond the data they are trained on. This means creating algorithms that can learn from observations and apply that knowledge to new situations.
  3. AI is starting to influence many fields, like music technology, by learning characteristics of sound and improving products like guitar amplifiers. This shows how machine learning can apply to real-world problems in creative ways.

#OpenSourceDiscovery 85: CodeRabbit AI PR Reviewer

#OpenSourceDiscovery • 0 implied HN points • 11 Feb 24
🕹 Technology AI Code Review GitHub Open Source Developer Tools
  1. CodeRabbit AI PR Reviewer is an AI-powered GitHub action that reviews code by commenting on relevant code snippets and additional commits.
  2. The AI PR Reviewer offers high-quality contextual review comments and allows discussions with the bot, enhancing developer awareness of code quality.
  3. Though the bot's response to comments may take around 20-30 seconds, it complements human review workflows and enables teams to handle initial code reviews efficiently.

[in case you missed it] Data Science Weekly - Issue 374

Data Science Weekly Newsletter • 0 implied HN points • 24 Jan 21
🕹 Technology Data science Machine Learning AI Ethics Programming Research
  1. Controlled experiments are important in data science to understand how new features perform. They help ensure that changes really make a difference and aren't just random results.
  2. AI is being used in various fields, including drug discovery and medical diagnostics, to improve accuracy and efficiency. Innovations like AI techniques can lead to faster and more accurate results in critical areas like cancer diagnosis.
  3. Understanding the theory behind machine learning can help data scientists create better models. Learning about tools like Support Vector Machines can enhance model performance and application.

[in case you missed it] Data Science Weekly - Issue 373

Data Science Weekly Newsletter • 0 implied HN points • 17 Jan 21
🕹 Technology Data science Machine Learning Artificial Intelligence Medical Technology Computer Vision
  1. Machine learning is becoming an important tool in developmental biology, helping to analyze large datasets efficiently. It can aid in tasks like image analysis and cell grouping.
  2. There is a growing need for data engineers, with many more job openings in this area compared to data science roles. Training and skills in data engineering are becoming more valuable.
  3. The FDA has released its first action plan for using AI and machine learning in medical software. This shows a commitment to improving healthcare with technology.

How AI Gave Me My Time Back

Crypto Good • 0 implied HN points • 13 Nov 25
🕹 Technology AI Tools Generative AI Automation Human factors
  1. AI can save you a lot of time on tasks that usually take forever, like grant writing. It can turn hours of work into just a few minutes.
  2. You don’t need to be a tech expert to use AI; it’s designed to be user-friendly. The technology can understand your needs without requiring deep knowledge.
  3. AI tools are becoming essential for many people. They help free up time so you can focus more on your real goals and dreams instead of just routine tasks.

[in case you missed it] Data Science Weekly - Issue 368

Data Science Weekly Newsletter • 0 implied HN points • 13 Dec 20
🕹 Technology Data science Machine Learning Artificial Intelligence Neural Networks Software Development
  1. Hyperparameters and latent variables are important in machine learning. We need better methods to create reliable systems that make a real impact.
  2. Understanding how deep neural networks work can help us harness their power effectively. A new method called network dissection can help explain the roles of different units in these networks.
  3. Creating a successful data science team involves building strong collaborations and having the right tools in place. Focus on understanding goals and measuring performance to drive improvements.

Notes on code, text, and war. Week 2: If code is text, then what?

zverok on lucid code • 0 implied HN points • 21 Jun 25
🕹 Technology Software Development Coding Programming Computing Digital Culture
  1. Thinking of code as text can help us improve how we write it. Just like choosing the right words in writing, we can carefully select how we write code to make it clearer and more effective.
  2. The layout and structure of our code are important, just like in a good text. How we organize our code can greatly affect its readability and the way others understand it.
  3. Different roles in coding projects can be compared to roles in writing. Just like a book has editors, writers, and fact-checkers, software projects can benefit from having diverse skills and perspectives to create better outcomes.

[in case you missed it] Data Science Weekly - Issue 365

Data Science Weekly Newsletter • 0 implied HN points • 22 Nov 20
🕹 Technology Data science Machine Learning AI Research Software Development Programming
  1. There's a new newsletter called The Batch that shares important AI events and insights. It's easy to read and aimed at both engineers and business leaders.
  2. Dynamic data testing is different from software testing. It requires tests that can adapt to how data changes over time.
  3. Isolation Forest is currently a top choice for detecting anomalies in big data, thanks to its simplicity and effectiveness.

[in case you missed it] Data Science Weekly - Issue 364

Data Science Weekly Newsletter • 0 implied HN points • 15 Nov 20
🕹 Technology Data science Machine Learning AI Analytics Software
  1. Organizing data in spreadsheets helps reduce errors. Use consistent formats, avoid empty cells, and save backups to make analysis easier.
  2. AI is creating convincing fake music performances of famous artists. This raises legal concerns as the music industry watches closely.
  3. Monitoring performance is crucial in data science. Tools like Mona help track data and model performance to avoid issues like biases and errors.