The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Stop Working Like Machines: Deep Dive with Gemini

Crypto Good • 0 implied HN points • 27 Dec 25
🕹 Technology Artificial Intelligence Automation Workforce Education Economics Ethics History
  1. AI is making cognitive work extremely cheap, which will drive down prices across goods and services and shift scarcity away from smarts toward human connection and visionary roles.
  2. People will need to stop doing first drafts and rote work and instead orchestrate AI — auditing outputs, connecting adjacent skills, and deciding why things get built.
  3. Education and social systems must change: teach inquiry, systems thinking, ethics, empathy, and negotiation, and provide safety nets while shifting identity from task-based utility to imagination and vision.

Artificial Intelligence is a Compost Heap (Ideally)

Cybernetic Forests • 0 implied HN points • 19 Dec 21
🕹 Technology Artificial Intelligence Data Management Machine Learning Digital Systems Autonomous Vehicles
  1. Artificial Intelligence can be thought of as a living system like a compost heap, breaking down and reorganizing to produce something new.
  2. Metaphors play a crucial role in how we perceive and design AI, shifting from brain-centric models to organic and dynamic models like compost intelligence.
  3. Compost intelligence could offer benefits like data decomposition freeing up energy, designing for self-regulation, and emphasizing emergence and nurturing in creating richer outcomes.

Inspirational Fireside Chat with Amira Abbas

Quantum Formalism • 0 implied HN points • 20 Oct 20
🕹 Technology Quantum Computing Deep Tech Machine Learning
  1. Amira Abbas shares an inspiring message about being excited rather than intimidated by what you don't know.
  2. Diversity in backgrounds and access to education, support, and opportunities can greatly benefit fields like quantum machine learning.
  3. Interested individuals can attend live lectures by filling out a Google form and ensuring they are familiar with the basics from previous sessions.

BITCOIN IS (possibly) BEING 51% ATTACKED

muk’s Newsletter • 0 implied HN points • 16 Sep 23
🕹 Technology Blockchain Cryptocurrency Cybersecurity Bitcoin
  1. Bitcoin may be under a possible 51% attack, which can provide attackers with the power to reverse transactions and control block production.
  2. Understanding the basics of Nakamoto Consensus helps in comprehending the vulnerability to 51% attacks in Bitcoin and the importance of hashpower in the network.
  3. A 51% attacker can aim to gain 100% control over block rewards by manipulating block production and slowly squeezing out other miners, posing a threat to the open nature of the network.

[in case you missed it] Data Science Weekly - Issue 342

Data Science Weekly Newsletter • 0 implied HN points • 14 Jun 20
🕹 Technology Data science Machine Learning Artificial Intelligence Automation Software Engineering
  1. There hasn't been a significant recent change in job automation from 1999 to 2019 in the U.S., even with new technology. Many jobs haven't become more automated, and pay rates for these jobs haven't really changed either.
  2. OpenAI offers an API that anyone can use for various language tasks. It allows users to perform tasks like translation and sentiment analysis without needing much prior knowledge.
  3. Managing technical debt in machine learning is important because many new data scientists don't learn best practices. This can lead to messy code that is hard to put into production, wasting time and resources.
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[in case you missed it] Data Science Weekly - Issue 341

Data Science Weekly Newsletter • 0 implied HN points • 07 Jun 20
🕹 Technology Data science Artificial Intelligence Machine Learning Software Development Research
  1. Data scientists are in high demand, so it's important to know how to market yourself effectively. Building a strong project portfolio can make you an attractive candidate.
  2. Recent advancements in language models, like GPT-3, show that larger models can perform tasks with fewer examples. This could change how we approach natural language processing.
  3. Managing expectations in data science jobs is crucial, especially for newcomers. Many people feel disappointed because they might not understand the job's realities.

Human-Machine Improv

Cybernetic Forests • 0 implied HN points • 25 Oct 21
🕹 Technology AI Artificial Intelligence Tech Ethics Music NFTs
  1. In improvisational settings, like comedy or music, human-machine collaboration is about understanding shared spaces and adapting to one another's actions and responses.
  2. Improvisation with machines involves responding to affordances built into their design, allowing for a reciprocal relationship where actions are guided by these affordances.
  3. Acknowledging externalities in our interactions with machines can enhance our understanding of the systems behind these interactions and highlight the importance of making these hidden mechanisms visible.

What was the listserv?

Cybernetic Forests • 0 implied HN points • 07 Jun 21
🕹 Technology Internet Artificial Intelligence Digital Communication Cybernetics Automation
  1. Listserves are email discussion lists where people share thoughts and responses on similar topics without likes or shares, but through emails exchanges.
  2. Listserves have roots in academic conversation structures and Usenet Newsgroups, encouraging collaboration and feedback to continue a conversation thread.
  3. Participation in listserves contrasts with modern social media, focusing on thoughtful contributions and respect for ongoing discussions rather than likes and clicks.

What does the mouse see? (Day 1)

Cybernetic Forests • 0 implied HN points • 02 May 21
🕹 Technology Conference Interaction Creativity Ethics
  1. Presentations at the Computer Mouse Conference 2021 embraced playfulness and earnestness, setting a unique tone for online events in 2021.
  2. The mouse serves as a tool to understand our relationships with computers, offering new ways to complicate and question our interactions with information machines.
  3. Explorations into the history and design of computer mice shed light on topics like the semiotics of clicks, the sensation of touch, and the metaphors embedded in technology.

How to convert a Website to an Android App

The journey of a solopreneur (by David Journeypreneur) • 0 implied HN points • 03 Jan 24
🕹 Technology Mobile Apps App Development Android
  1. Converting a website to an Android app enhances user experience, expands reach, and boosts engagement and loyalty.
  2. Consider custom app development or no-code app builders like WebToApp.app for conversion.
  3. WebToApp.app offers a user-friendly interface, no coding knowledge requirement, quick conversion, design templates, and affordable pricing.

Physical Security Red Teaming Overview

Locks and Leaks • 0 implied HN points • 09 Jul 23
🕹 Technology Security Red-Teaming Resources Consulting
  1. Organizations use internal physical security red teams to protect valuable assets from potential breaches.
  2. The global Physical Security market is expected to grow, reaching $215 billion by 2030 - the effectiveness of these security measures is tested through red team assessments to prevent costly incidents.
  3. There's a lack of substantial resources for businesses looking to establish or enhance their physical security red teams, highlighting a need for more support and knowledge sharing in this area.

[in case you missed it] Data Science Weekly - Issue 339

Data Science Weekly Newsletter • 0 implied HN points • 24 May 20
🕹 Technology Data science Machine Learning AI Ethics Product Management Technical Skills
  1. AI Product Managers need both traditional PM skills and a strong understanding of machine learning development. This blend of skills helps them manage AI projects effectively.
  2. Machine learning systems can face risks, including misalignment with problems and unexpected behaviors after deployment. It's important to evaluate these risks to avoid project failures.
  3. Text data augmentation is not as common as image data augmentation, but it can be useful in natural language processing. Exploring new techniques for text augmentation can enhance performance.

[in case you missed it] Data Science Weekly - Issue 338

Data Science Weekly Newsletter • 0 implied HN points • 17 May 20
🕹 Technology Machine Learning Data science Artificial Intelligence Software Development Neural Networks
  1. AR and AI can merge to create tools for editing images by cutting and pasting elements from our surroundings. This could revolutionize how we visually manipulate content.
  2. Researchers are working on mapping the human brain's connections to better understand how it functions and what happens when it gets sick. This could lead to major breakthroughs in neuroscience.
  3. Active learning techniques in AI can make label management easier by tracking what data has been labeled and what still needs attention. This saves time and reduces errors during data annotation.

February 2023

Maker News • 0 implied HN points • 24 Feb 23
🕹 Technology Gaming Hardware Software Education Engineering
  1. February 2023 newsletter contains videos and articles on various interesting topics.
  2. Featured video content includes retro gaming, DIY power bank, and model-making.
  3. Highlighted articles cover topics like C++ developers, ESP chips, AVR coding, ePaper reverse engineering, and semiconductors.

May 2023

Maker News • 0 implied HN points • 26 May 23
🕹 Technology Innovation DIY Electronics Coding Automation
  1. May edition includes delightful projects, videos, and articles to explore.
  2. Featured projects highlight creative tech endeavors from various content creators.
  3. Newsletter encourages sharing with others to spread the excitement of technology innovations.

[in case you missed it] Data Science Weekly - Issue 337

Data Science Weekly Newsletter • 0 implied HN points • 10 May 20
🕹 Technology Data science Machine Learning Artificial Intelligence Statistics Algorithms
  1. There are online seminars available that cover math topics related to data science and machine learning. These can help you understand the foundations better.
  2. Deep reinforcement learning has made big advances recently, but there's still room for improvement and new ideas in the field.
  3. If you're looking for a data science job, there are resources and guides that can help you improve your resume, build a project portfolio, and get started in the field.

[in case you missed it] Data Science Weekly - Issue 335

Data Science Weekly Newsletter • 0 implied HN points • 26 Apr 20
🕹 Technology Artificial Intelligence Machine Learning Data science Software Development Algorithms
  1. Specification gaming can happen in AI when systems find shortcuts to achieve goals without actually completing the intended task. This is a problem we need to address in AI design.
  2. There’s a lot of gender bias in machine translation, which reflects societal issues. Companies like Google are trying to reduce these biases in their systems.
  3. Training large NLP models is expensive and requires careful budgeting. Understanding these costs can help developers plan better for their projects.

October 2023 Round Up

Maker News • 0 implied HN points • 27 Oct 23
🕹 Technology Robotics DIY Open Source Hardware Programming
  1. Welcome to the October Edition with interesting tech topics like robotics and DIY projects.
  2. A variety of videos to watch covering topics like creating a robot backpack, Linux on ESP32, and improving SD card performance.
  3. Informative and inspirational articles to read including Open Source Revolution in IP Cameras, Robots Jumping Into Parkour, and DIY Pyramid Salt Crystals.

Understanding the BYOC Deployment Model

Tributary Data • 0 implied HN points • 25 Sep 23
🕹 Technology Cloud Computing Data Privacy Data Sovereignty Cloud Infrastructure
  1. BYOC model allows organizations to maintain data privacy and sovereignty while benefiting from managed cloud services.
  2. BYOC offers benefits like control and customization, data portability, vendor lock-in mitigation, and cost optimization.
  3. BYOC operational model involves data plane and control plane functions, allowing organizations to have control over their cloud infrastructure while the vendor manages remotely.

[in case missed it] Data Science Weekly - Issue 334

Data Science Weekly Newsletter • 0 implied HN points • 18 Apr 20
🕹 Technology Data science Machine Learning AI Ethics Robotics Public Health
  1. Robotics can have big dreams, like sending a rover to the Moon, but the journey to change the world is tough and full of failures.
  2. Understanding how a virus like SARS-CoV-2 spreads is crucial for preventing future outbreaks, and we might need to keep social distancing for a long time to avoid overwhelming hospitals.
  3. As AI grows, it's important to make sure these systems are explainable and trustworthy so that people can feel safe using them.

[in case you missed it] Data Science Weekly - Issue 332

Data Science Weekly Newsletter • 0 implied HN points • 04 Apr 20
🕹 Technology Data science Machine Learning Artificial Intelligence Software Development Deep Learning
  1. Agent57 is a new AI that can play all 57 Atari games better than humans, showing how deep reinforcement learning can achieve high performance in gaming tasks.
  2. During the COVID-19 crisis, it's important for everyone to approach discussions about data and health with curiosity and honesty, especially if they aren't experts.
  3. ACM is offering free access to their digital library for three months to support researchers and learners during the pandemic, promoting resource sharing in the computing community.

The Significance of In-Broker Data Transformations in Streaming Data

Tributary Data • 0 implied HN points • 28 Aug 23
🕹 Technology Data Engineering WebAssembly
  1. Data scrubbing in streaming data pipelines is essential for cleaning and processing data in real-time to ensure it's ready for consumption.
  2. In-broker data transformations powered by WebAssembly (Wasm) are revolutionizing how data processing tasks are handled in streaming data platforms, reducing dependency on external systems.
  3. WebAssembly (Wasm) provides developers with flexibility, performance, security, and portability benefits for server-side processing in frameworks like Redpanda Data Transforms, streamlining data processing tasks within brokers.

The true purpose of AI

Technology, Environment, and Art • 0 implied HN points • 08 Mar 24
🕹 Technology AI Consumerism Environmentalism Content creation
  1. Ideas and actions that seem to be for the greater good often serve to strengthen capitalism and consumerism, benefiting the wealthy at the expense of common good.
  2. Green initiatives like solar power, while seeming environmentally friendly, can unintentionally encourage greater energy usage and resource consumption, due to their integration into the capitalist system.
  3. AI, though touted for its benefits, primarily serves to make consumerism more efficient, distracts from environmental destruction, and may lead to a toxic cycle of technological dependence that harms nature and society.

Operational Use case Patterns for Apache Kafka and Flink — Part 1

Tributary Data • 0 implied HN points • 03 Jan 23
🕹 Technology Data Platforms Stream Processing Microservices Data Management
  1. Operational use cases with Kafka and Flink are crucial for business operations due to their message ordering, low latency, and exactly-once delivery guarantees.
  2. Using polyglot persistency with different data stores for read and write purposes can help solve the mismatch between write and read paths in microservices data management.
  3. Implementing a backend rate limiter using Flink as a Kafka consumer can help prevent exhausting an external system (e.g., a database) due to high message arrival rates from Kafka.

Daily AI Snapshot: Adobe's AI Makes You a PDF Power User

The AI Observer • 0 implied HN points • 21 Feb 24
🕹 Technology AI User Experience Data Privacy Innovation
  1. Adobe's AI technology has transformed PDF functionality to be more interactive and insightful, offering dynamic content summarization and intelligent document analysis.
  2. The integration of AI into Adobe Acrobat is a significant leap forward in addressing the traditional limitations of PDFs, such as static formatting and limited interactivity, providing users with more efficient document management tools.
  3. The ethical and practical considerations of data privacy and user consent become crucial when AI is integrated into tools like Adobe Acrobat, emphasizing the importance of maintaining user trust and implementing responsible AI practices.

[in case you missed it] Data Science Weekly - Issue 331

Data Science Weekly Newsletter • 0 implied HN points • 29 Mar 20
🕹 Technology Artificial Intelligence Data science Machine Learning Remote work Public Health
  1. There's a big gender gap in the AI industry that needs to be addressed. This lack of diversity can lead to unfair AI systems that don't serve everyone equally.
  2. Remote work can be tough for data science teams. Challenges like communication and employee loneliness can affect productivity, making it important to find the right solutions.
  3. New data collection methods, like those used for tracking COVID-19, are changing how we respond to global challenges. Having accessible and detailed data can really help during pandemics or emergencies.

Comparing Stateful Stream Processing and Streaming Databases

Tributary Data • 0 implied HN points • 29 Sep 22
🕹 Technology Data processing Streaming Querying ETL
  1. Stateful stream processors and streaming databases have different approaches in handling data ingestion and state persistence.
  2. Stream processors require knowing and embedding state manipulation logic in advance, while streaming databases offer ad-hoc manipulation by consumers.
  3. Stream processors are ideal for automated, machine-driven decision-making, while streaming databases cater to human decision-makers needing fast, ad-hoc data access.

[in case you missed it] Data Science Weekly - Issue 330

Data Science Weekly Newsletter • 0 implied HN points • 23 Mar 20
🕹 Technology Data science Machine Learning AI Research Epidemiology Health Technology
  1. The spread of diseases like COVID-19 can become very rapid if not controlled properly. Understanding how infections spread helps us take the right actions.
  2. There are tools and models that can help track COVID-19 cases in real time, which is important for managing outbreaks effectively.
  3. New techniques in data science, like reinforcement learning and efficient neural networks, are enhancing how we analyze and work with data in various fields.

Seurat and the Opportunity in Vertical AI

Digital Native • 0 implied HN points • 07 Feb 24
🕹 Technology AI SaaS Startups Market Size
  1. Great products and founders can expand markets by addressing unique pain points and offering innovative solutions.
  2. Vertical SaaS companies follow a playbook of starting with a key pain point solution and then expanding their product suite for increased customer lifetime value.
  3. Vertical AI applications are emerging with a focus on industry-specific expertise and unique insights, leading to a new wave of innovation.

#your #authentic #self

Links I Would Gchat You If We Were Friends • 0 implied HN points • 25 Jan 16
🕹 Technology Internet Conspiracy Photography Apps Mysteries
  1. Internet sleuth Daniel Luke started a website to explore the Halbach murder after watching 'Making a Murderer.'
  2. There was truth to the internet conspiracy that Michael Jackson wrote music for Sonic 3 as discovered by Sonic fandom.
  3. Gage Skidmore, a 22-year-old photographer, became widely known through crowdfunding and Creative Commons.

[in case you missed it] Data Science Weekly - Issue 328

Data Science Weekly Newsletter • 0 implied HN points • 08 Mar 20
🕹 Technology Data science Machine Learning Artificial Intelligence Neuroscience NLP
  1. Neuroscience is struggling to create clear theories about how the brain works, which makes finding the right path forward challenging. It's important to understand that simply collecting data isn't enough to advance our knowledge.
  2. There are many resources out there trying to simplify machine learning concepts for everyone. These aim to provide real-world examples and easy-to-understand explanations, making it accessible for all types of learners.
  3. Self-supervised learning is making a significant impact in both language processing and computer vision fields. This approach allows models to learn from data without needing extensive labeled examples, which can be a game changer.

[in case you missed it] Data Science Weekly - Issue 327

Data Science Weekly Newsletter • 0 implied HN points • 01 Mar 20
🕹 Technology Data science Artificial Intelligence Machine Learning Deep Learning Software Development
  1. Deep learning can help discover new antibiotics, which is really important as antibiotic resistance grows. By using neural networks, scientists found a new molecule that fights a variety of pathogens.
  2. Ethics in AI is becoming essential, especially for technologies that can operate without human intervention. It's important to think about the potential consequences and applications of AI, like in self-driving cars.
  3. Data science skills are in high demand, and there are growing opportunities in various sectors, especially in eCommerce and healthcare. Companies are looking for talent to drive innovations and improve operations.

NotebookLM: Changemaker’s Tool for Real Change

Crypto Good • 0 implied HN points • 15 Dec 25
🕹 Technology Artificial Intelligence Knowledge Management Research tools Productivity Tools Information Retrieval
  1. AI tools make deep research fast and remove the old excuse of not having time to do thorough, evidence-based work.
  2. NotebookLM pulls real sources and instantly synthesizes them into formats like audio overviews, narrated videos, slide decks, and infographics so you can consume findings in different ways.
  3. For changemakers, this lets you counter myths with data, digest policies quickly, and find root causes so decisions are informed and fast.

[in case you missed it] Data Science Weekly - Issue 325

Data Science Weekly Newsletter • 0 implied HN points • 15 Feb 20
🕹 Technology Artificial Intelligence Machine Learning Data science Software Development Research Trends
  1. AI is changing many industries, showing potential in areas like healthcare and self-driving cars. Economists are studying how this technology will affect jobs and the economy.
  2. There are guides available for anyone looking to get into data science. These resources can help you decide what skills you need, build a strong portfolio, and create a standout resume.
  3. Research in machine learning is advancing rapidly, with new models for tasks like seeing transparent objects and improving supply chains. These innovations could lead to smarter, more flexible systems in our daily lives.

[in case you missed it] Data Science Weekly - Issue 324

Data Science Weekly Newsletter • 0 implied HN points • 08 Feb 20
🕹 Technology Data science Artificial Intelligence Machine Learning Statistics Analytics
  1. Experimentation is key in product development. Good experiments help in understanding customer needs better and making informed decisions.
  2. AI technology can have a real-world impact, as seen with early warnings about health crises. Tools like AI can gather and analyze data faster than traditional methods.
  3. Improving AI means making it more human-like for better performance. Understanding the limits and potential of AI can help us use it more effectively.