The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Data Science Weekly - Issue 341

Data Science Weekly Newsletter • 19 implied HN points • 04 Jun 20
🕹 Technology Data science Machine Learning Artificial Intelligence Computing Training
  1. Mathematics often requires new methods to solve problems, showing how innovation is crucial in research.
  2. GPT-3 is a massive language model that significantly improves deep learning and natural language processing capabilities.
  3. Many people find data science jobs disappointing, and it's important to manage your expectations in any job field.

🧙‍♂️ You’re an AI wizard, Harry!

HackerPulse Dispatch • 5 implied HN points • 05 Mar 24
🕹 Technology AI Software Development Tech stack User Feedback AI Tools
  1. AI-powered Wisary transforms software planning into a united front of understanding and collaboration, saving engineering teams billions annually
  2. Wisary, founded by Ala Stolpnik, aims to compensate for human limitations in software project planning by seamlessly integrating AI expertise
  3. Wisary's features like structured guidance, AI-powered drafting, and comprehensive review benefit product managers, engineering managers, and the entire organization, ensuring timely project success

Episode 6: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 31 May 20
🕹 Technology Embedded Systems Software Development Consulting Marketing Intellectual Property
  1. Finding your niche is key to being a successful consultant. It helps you stand out and attract clients who need your expertise.
  2. Marketing yourself takes hard work and time, but it's essential. By creating valuable content and connecting with others, you'll start to receive project opportunities.
  3. Building a financial buffer is crucial for stability. Having savings allows you to navigate through tough times, like a pandemic, without stress.

Zoom Docs launches in 2024 with built-in AI collaboration features

Machine Economy Press • 7 implied HN points • 03 Oct 23
🕹 Technology AI Software Collaboration Innovation
  1. Zoom is launching Zoom Docs in 2024 with built-in AI collaboration features to compete with Microsoft and Google Docs.
  2. Zoom Docs offers AI-powered features such as an AI Companion for altering wording, brainstorming ideas, and summarizing content from Zoom meetings.
  3. Zoom is expanding its platform to provide a full office suite alternative and is focusing on innovation and AI to differentiate from competitors.
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Curious futures (KGhosh) • 8 implied HN points • 23 Jul 23
🕹 Technology World Art Tech AI DIY
  1. UK defense perspective on a volatile world and US job loss due to technology
  2. Engage in bets for market intelligence and museum offers tattoos
  3. Explore neural networks in astronomy, AI causing social unrest, and importance of original hardware hacking manual

Data Science Weekly - Issue 340

Data Science Weekly Newsletter • 19 implied HN points • 28 May 20
🕹 Technology Data science Artificial Intelligence Machine Learning Automation Software Development
  1. AI can be limited in business because of how it's researched, but understanding these limits can help identify new business opportunities. This means knowing the business process well can lead to better use of AI to save time and money.
  2. There's a growing belief that humans and machines should work together rather than striving for complete automation. Collaborating with machines can often be more effective and safer than going fully automated.
  3. Basic machine learning skills are still very important, even with all the focus on deep learning. Many companies want solid foundational knowledge rather than just the latest trends, so understanding the basics can be key to success.

UX Roundup: Ideogram Big Improvements | UX Apprentice | High School UX | Kindergarten UX | Self-Taught UX Designers

Jakob Nielsen on UX • 5 implied HN points • 04 Mar 24
🕹 Technology UX Design AI Tools
  1. Ideogram 1.0 released with significant text rendering and image quality improvements, showcasing AI's potential in visual design.
  2. You don't necessarily need a university degree for a career in UX, practical experience and on-the-job learning can be just as valuable, if not more.
  3. Teaching UX concepts in high school, like in Estonia, can prepare students for a future increasingly dependent on digital media and technology.

How Data Scientists can sell "Tech Debt" to their managers?

Laszlo’s Newsletter • 5 implied HN points • 04 Mar 24
🕹 Technology Data science Tech Debt Code Quality
  1. Bad code wastes company resources by making the team spend more time on fixes. Refactoring can free up time for working on features.
  2. Mildly bad code slows down new feature delivery. Refactoring can make the team faster and deliver more features in less time.
  3. In data science projects, data quality issues can lead to excessive time spent on bug fixing, emphasizing the need for refactoring to increase efficiency.

The New Turing Test

escape the algorithm • 1 HN point • 07 Dec 23
🕹 Technology AI Artificial Intelligence Humanity Society
  1. AI is becoming increasingly sophisticated at imitating human interactions, leading to questions about authenticity and authorship.
  2. Expressiveness in content creation is essential, focusing on aspects that reflect human emotions, intentions, and unique perspectives.
  3. Evaluating content based on its humanity rather than solely on AI involvement can lead to more meaningful and engaging creations.

Data Science Weekly - Issue 339

Data Science Weekly Newsletter • 19 implied HN points • 21 May 20
🕹 Technology Artificial Intelligence Data science Machine Learning Ethics Software Development
  1. AI Product Managers need special skills for managing AI products beyond traditional project management. This includes an understanding of machine learning and its real-world applications.
  2. Technical debt in machine learning is important to manage to avoid problems later. New tools can help address this issue, highlighting the need for staying updated over time.
  3. China is actively discussing AI ethics, contrary to popular belief. Their conversations align with global standards, and they are exploring how these principles fit into their own culture and systems.

🎅🏻 Konfig’s Open-Sources Gift, GitHub Copilot Free Plan, Fake Stars on GitHub, & More

HackerPulse Dispatch • 2 implied HN points • 24 Dec 24
🕹 Technology AI Tools Open Source Development Workplace Wellness
  1. Konfig has shared its entire codebase for developers to learn from, even though the startup didn't succeed. It's a chance for others to see what works and what doesn't.
  2. GitHub Copilot now offers a free plan, making coding easier for everyone. You can get up to 2000 code completions a month, which can really help you with your projects.
  3. Fake stars on GitHub are becoming a problem, as they can mislead developers about the popularity of projects. This issue can even lead to security risks, so always check the authenticity of repositories.

A Brave IT guy

My Home Office Hacks • 5 implied HN points • 26 Feb 24
🕹 Technology IT Cybersecurity Remote work
  1. Consider trying the Brave browser for enhanced security and speed, recommended by an IT professional.
  2. Utilize voice-to-text technology to save time when typing a lot of content, but remember to review and edit due to accuracy issues.
  3. Get featured in My Home Office Hacks by sharing your work-from-home profile and business details.

Opt out message on your Substack's Welcome Page: Help out your first time visitors

Next Big Newsletter • 10 implied HN points • 13 Mar 23
🕹 Technology Substack Subscription Content Interaction
  1. Consider improving the opt-out message on your Substack's Welcome Page to be more welcoming and informative.
  2. Explore changing the default 'No thanks' link to something more engaging and helpful for visitors who are not ready to subscribe immediately.
  3. Customize the opt-out message in your Substack settings to provide a better experience for your potential subscribers.

Data Science Weekly - Issue 338

Data Science Weekly Newsletter • 19 implied HN points • 14 May 20
🕹 Technology Data science Machine Learning Artificial Intelligence Software Development Programming
  1. AR and machine learning can be combined to create cool tools, like cutting parts of our surroundings and pasting them into images.
  2. Mapping the connections in the human brain can help scientists understand how our brains work and what happens when they are not healthy.
  3. Data shows that during quarantine, people are not necessarily gaining weight or losing activity, which might surprise some people.

Why I Stopped Using Paid AI Services

The AI Observer • 5 implied HN points • 26 Feb 24
🕹 Technology AI Research Artificial Intelligence Tech Ethics Innovation
  1. Understanding different scales can provide valuable perspective on personal and global challenges.
  2. Recognizing the interconnectivity of all things can help in decision-making and problem-solving.
  3. Developing scientific literacy by understanding scales in the universe is crucial for informed decision-making in various aspects of modern society.

Data Science Weekly - Issue 337

Data Science Weekly Newsletter • 19 implied HN points • 07 May 20
🕹 Technology Data science Machine Learning Artificial Intelligence Robotics Programming
  1. Data scientists are in high demand, and job opportunities can be found on platforms like Vettery. It's a good time to consider a career change or advance in this field.
  2. Regularization in linear models is important and can be understood visually. Simple explanations can help grasp how these techniques improve model performance.
  3. Freelancing as a data scientist can be rewarding and productive. Many people share their experiences to help others understand what it's like to work independently.

Smarter Learning Rates, Medical AI, and Compiler Innovations

HackerPulse Dispatch • 2 implied HN points • 20 Dec 24
🕹 Technology AI Machine Learning Medical AI Data science
  1. New learning rate techniques, like SGD-SaI, are making AI training more efficient and using less memory. This means large models can learn better and faster.
  2. AI is showing amazing skills in medical tasks, sometimes even better than doctors, but it still has some limitations in certain areas.
  3. There are advancements in AI compilers that help optimize how programs run, making them more efficient. This is important for developing smarter AI systems.

A Dispatch On All Things Tools

Building Rome(s) • 7 implied HN points • 11 Sep 23
🕹 Technology Tools Program Management Software Architecture Software Development Product Management
  1. Building timelines can be frustrating due to lack of ideal tools like Gantt charts or whiteboarding tools.
  2. C4 Diagrams are a great visual language to discuss software architecture for TPMs and PMs.
  3. There is a desire for an all-in-one tool to manage product development, simplifying the use of multiple tools like Slack, Linear, Coda, Figma.

The old gods are dead

Metal Machine Music by Ben Tarnoff • 19 implied HN points • 14 Jan 20
🕹 Technology Analysis Ethics Innovation Policy AI
  1. The techlash has torn down old beliefs about technology, but new ideas to replace them are still in flux.
  2. The left hasn't solidified a clear stance on tech issues yet, despite the abundance of progressive thinkers.
  3. To create a meaningful tech agenda, understanding the role of capitalism in technology is crucial in addressing wealth disparities and societal hierarchies.

Yes, AIs ‘understand’ things

Nonzero Newsletter • 5 HN points • 22 Feb 24
🕹 Technology AI Philosophy Information processing Neural Networks Understanding
  1. The classic argument against AI understanding, the Chinese Room thought experiment, is challenged by large language models.
  2. Large language models (LLMs) like ChatGPT demonstrate elements of understanding by processing information similarly to human brains when it comes to understanding.
  3. LLMs show semantic understanding by mapping words to meaning, undermining the belief that AIs have no semantics and only syntax as argued by Searle in the Chinese Room thought experiment.

Tokenomics 101: Navigating the Nuances of LLM Product Pricing

ScaleDown • 5 implied HN points • 20 Feb 24
🕹 Technology AI Tokenomics Generative AI Large Language Models
  1. Token-based pricing for LLM applications can be complex as it involves more than just input and output tokens. Consider additional factors like system prompts, context tokens, and evaluation tokens for accurate cost estimation.
  2. Estimating the price of a GenAI chatbot involves considering not only the direct input and output tokens but also context tokens, system prompts, and real-world applications like regeneration and error handling.
  3. When budgeting for GenAI applications, remember to include overheads like evaluation of outputs and guardrails in your cost analysis. These additional requirements can significantly increase the total token costs.

Sora’s Surreal Physics

Marcus on AI • 5 HN points • 16 Feb 24
🕹 Technology AI Generative AI
  1. The quality of the video produced by OpenAI's latest text-video synthesizer is impressive, almost indistinguishable from reality at a glance.
  2. OpenAI's lack of transparency on training models raises concerns about potential misuse for disinformation and propaganda, especially in upcoming events like the 2024 elections.
  3. Sora's unrealistic physics glitches indicate limitations in generative AI systems like Sora, demonstrating issues in understanding space, time, and causality crucial for building true AGI capabilities.

Data Science Weekly - Issue 336

Data Science Weekly Newsletter • 19 implied HN points • 30 Apr 20
🕹 Technology Data science Artificial Intelligence Machine Learning Software Development Visualization
  1. Tornado plots are a unique way to visualize time series data, showing how values change over time. They help us understand trends in a different way than regular graphs.
  2. Categorizing diverse products efficiently is crucial for platforms like Shopify. Proper categorization helps users find similar products faster, making shopping easier.
  3. Blender is an open-source chatbot by Facebook AI that feels more human and engages users better. It's a leap forward for conversational AI technology.

#89

The Nibble • 2 implied HN points • 16 Dec 24
🕹 Technology AI Quantum Computing Crypto Web Development Virtual reality
  1. Google's new quantum chip, Willow, can perform complex calculations much faster than current supercomputers, which could improve AGI development.
  2. OpenAI and Google are actively releasing new AI models, indicating a competitive environment in AI technology.
  3. The emergence of new financial tools and regulations around crypto, like no capital gains tax countries and new crypto cards, suggests the growing mainstream acceptance of cryptocurrencies.

I left AI Research to build an AI Startup. Here is what I learned.

Oleksii Sidorov • 10 HN points • 14 Feb 23
🕹 Technology AI Startups Engineering Algorithms Models
  1. In real life, business cares more about whether your AI solution solves a problem than about complex models or theories.
  2. Simplicity often wins in AI solutions - using what you understand well and can deploy quickly can be more effective than complex algorithms.
  3. Understanding the problem domain deeply and focusing on impact rather than endless research is crucial for successful AI projects.

🦾 Deepfakes, Empathy & OpenAI Updates

HackerPulse Dispatch • 5 implied HN points • 16 Feb 24
🕹 Technology AI Deepfakes Empathy OpenAI Memory
  1. OpenAI disrupted five state-affiliated malicious actors exploiting AI services, demonstrating a commitment to ethical AI.
  2. ImplicitDeepfake1 merges deepfake tech with Neural Radiance Fields and Gaussian Splatting for advanced 3D avatar creation and gaming.
  3. LAION introduced BUD-E, an AI assistant focusing on real-time responses with natural voice, empathy, & emotional intelligence.

When Standalone AI Apps Meet Existing Systems of Record

Venture Reflections • 5 implied HN points • 16 Feb 24
🕹 Technology AI Software Integration Enterprise Solutions Workflow management Software Development
  1. AI-powered applications face challenges when integrating with existing core systems of record that were not initially designed for AI
  2. Successful standalone AI apps now need to connect with existing workflows and systems like HRIS, ATS, ERP platforms, and CRMs
  3. The need for AI apps to integrate with established infrastructure offers opportunities for differentiation and defensibility in the market

Data Science Weekly - Issue 335

Data Science Weekly Newsletter • 19 implied HN points • 23 Apr 20
🕹 Technology AI Machine Learning Data science Software Development Research
  1. Specification gaming is when AI follows rules exactly but misses the main goal. It's important to design AIs that understand the true purpose of their tasks.
  2. There's a growing need to improve how deep learning studies are reported in healthcare. This helps ensure that new AI tools are effective and trustworthy for patients.
  3. Bias in AI language models, like Google Translate, can reflect societal issues. Efforts are being made to address these biases for fairer translations.

Giving Glover Gil.ga

12challenges • 5 HN points • 14 Feb 24
🕹 Technology Innovation Social media Domains
  1. Linknames can reduce platform dependency by signposting websites outside of platforms, promoting direct relationships with audiences, and making names stand out.
  2. Using a linkname like Gil.ga for creative projects can innovate in naming, make a statement, and inspire a new generation of artists using this concept.
  3. Linknames open the door for multi-sensory and multi-platform experiences, such as albums with complementary websites or TV easter eggs that change the show's meaning.

Bill Gates' Open Letter: An Account of Excitement and Fear Surrounding AI

MAP's Tech Newsletter. • 9 implied HN points • 14 Apr 23
🕹 Technology AI Climate change Health Education Future Predictions
  1. Bill Gates is optimistic about the future of AI and believes in a collaborative relationship between humans and robots.
  2. AI has the potential to address climate change issues and improve productivity and health, especially in underprivileged areas.
  3. AI in education is expected to revolutionize learning by tailoring content, providing immediate feedback, and assisting teachers and students.