The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

~Big questions~

Links I Would Gchat You If We Were Friends • 0 implied HN points • 12 May 15
🕹 Technology Social media Online Education Artificial Intelligence Tech startups Internet culture
  1. The man who sold his face to the Internet experienced mental health challenges and poverty as a result.
  2. The value and financial worth of YouTube stars are still uncertain and not fully understood.
  3. Exploring the intersection of food, robots, and 'cognitive' machines prompts contemplation about creativity and big questions.

UK's National Cyber Force: A Bunch of Mindf-ckers

Seriously Risky Business • 0 implied HN points • 06 Apr 23
🕹 Technology Cybersecurity Malware Hacking Digital Privacy Tech industry
  1. The UK's National Cyber Force aims to disrupt adversary behavior by exploiting their reliance on digital technology.
  2. Offensive cyber operations by the NCF focus on cognitive effects and disrupting adversary systems over a period.
  3. The response to the 3CX supply chain attack was quicker compared to past breaches, showing improvement in addressing cyber threats.

#15 - Altman, Jinping, Biden, and O

Navigating AI Risks • 0 implied HN points • 22 Nov 23
🕹 Technology AI Governance Government regulations Policy Analysis Global Cooperation
  1. OpenAI faced turmoil with CEO Sam Altman's firing, highlighting governance challenges and lack of transparency
  2. China is already regulating AI with new laws, ethics reviews, and safety measures to manage AI risks
  3. The White House tightened AI oversight with an executive order requiring companies to share safety test results with the government
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Bas' Take on Tech: Work From Home, AI, DNA, Dominik's Thoughts

Bas' Take on Tech • 0 implied HN points • 14 Feb 23
🕹 Technology AI Remote work Gene-editing Tech Trends Data Privacy
  1. Helping people in need during disasters, like earthquakes, through tech and careful donations is important.
  2. Global trends in remote work show shifts towards more work-from-home opportunities and legal rights in various countries.
  3. Developments in AI technology are leading to changes in search engines, potential new professions, and competition among tech giants like Google, Microsoft, and OpenAI.

Skip the joins with Semantic ABI

HyperArc • 0 implied HN points • 26 Jun 24
🕹 Technology Blockchain Web3 Data Analysis Open Source Smart Contracts
  1. Semantic ABI helps organize data from Ethereum transactions better. Instead of dealing with lots of confusing tables, it allows you to get a clear view of the data directly.
  2. By using Semantic ABI, you can easily combine data from different sources without complex joins. This saves time and makes analysis simpler.
  3. The library supports features like adding extra meaning to data and finding matches in transactions more efficiently. It's designed to help with analyzing Web3 data easily.

Use a Do Block Without a Catch Block

Type Safely • 0 implied HN points • 15 Mar 23
🕹 Technology Coding
  1. Creating a do block without a catch block can help maintain a strict scope in your code.
  2. Anything defined within a do block remains confined to that block, including variables.
  3. This can be beneficial when you want to limit the impact and visibility of certain code segments.

Cultural Agency & Digital Technologies

The Digital Anthropologist • 0 implied HN points • 01 Dec 23
🕹 Technology Cultural Artificial Intelligence Society Business Ethics
  1. AI's success in society depends on the cultural agency it is given, determining how it is used and its ultimate impact.
  2. Cultural agency is more than just about economics; it encompasses societal values, norms, and governance.
  3. Technological adoption is shaped by culture more than capitalism, with debates about AI reflecting deeper philosophical discussions.

[in case you missed it] Data Science Weekly - Issue 299

Data Science Weekly Newsletter • 0 implied HN points • 17 Aug 19
🕹 Technology AI Data science Machine Learning Algorithms Software Development
  1. AI is now being used to improve video gaming, like training in soccer using a new football simulator. This shows how far technology has come in understanding games.
  2. Nvidia is making big strides in AI language models, making them faster and more efficient. This means we could see better and more responsive AI conversations soon.
  3. For those wanting to become data scientists, it's smarter to get a related job first and learn on the job. Skills can be built up as you go instead of trying to learn everything at once.

Saturday 27th May, 2023 - Gifs, culture, media, AI & vegetables (Issue #98)

Mark Smith’s Newsletter • 0 implied HN points • 27 May 23
🕹 Technology Culture Media AI Podcasts
  1. This newsletter featured podcasts covering various topics like banning TikTok, AI in banking, and media realism in TV shows.
  2. There were links shared on topics like creating web apps with native app feel, Meta selling Giphy, and open-source hardware laptops.
  3. The author also shared personal updates like issues with development, a link to daily linkblog, and details on his weekly experiences.

Saturday 15th July, 2021 - Synthetic Biology Inside (Issue #123)

Mark Smith’s Newsletter • 0 implied HN points • 15 Jul 23
🕹 Technology Synthetic Biology Podcasts Links
  1. A new computation paradigm of synthetic biology is gaining traction, transforming atoms to DNA sequences and allowing the growth of materials without complicated supply chains.
  2. Podcasts are changing how people interact and could spark a new Age of Enlightenment.
  3. Hollywood actors are on strike, while Elon Musk's Tesla is entering the UK energy market and launching a new xAI company.

Against Digital Supremacy

Cybernetic Forests • 0 implied HN points • 10 Oct 21
🕹 Technology AI Data Digital
  1. Issues can arise when we oversimplify choices into digital vs. analog extremes.
  2. Digital supremacy implies a belief that digital solutions are superior and can solve diverse problems.
  3. The divide between digital and analog thinking can have implications in AI, social systems, and technology design.

Use more version control

The Daily Developer • 0 implied HN points • 30 Jul 23
🕹 Technology Development
  1. Using version control system like Git can help improve code quality and productivity.
  2. Making small and frequent commits can reduce cognitive load and increase code clarity.
  3. Observing and adapting the behavior of experienced developers can lead to beneficial outcomes in coding practices.

Stay The Hell Away from Anything That's Not Cloud Portable

DevOps, K8s, and the Cloud • 0 implied HN points • 24 Apr 24
🕹 Technology Cloud Computing Software Development
  1. Prioritize using standard, open, and protocol-compliant cloud resources for flexibility and portability.
  2. Wrap proprietary cloud services in clean abstractions to easily switch between cloud providers if needed.
  3. Consider leveraging portable alternatives like Redis, RabbitMQ, or Apache Kafka instead of proprietary cloud services for scalability and flexibility.

[in case you missed it] Data Science Weekly - Issue 300

Data Science Weekly Newsletter • 0 implied HN points • 25 Aug 19
🕹 Technology Data science AI Machine Learning Deep Learning Software Development
  1. There's a new AI optimizer called RAdam that can help improve the accuracy of AI models. It automatically adjusts the learning rate based on training conditions.
  2. Deep learning is an area of study that's compared to classical methods and explores various neural network models. Understanding these models can help grasp the foundations of modern AI.
  3. Data scientists are in high demand, and there are resources available to help newcomers prepare for training programs. This can lead to job opportunities in the field.

Naivety

The Daily Developer • 0 implied HN points • 02 Aug 23
🕹 Technology Programming Innovation Tech industry
  1. Naivety can sometimes lead to innovative solutions because you're not aware of the challenges and limitations.
  2. Taking on complex projects without realizing their difficulty can be beneficial as it allows you to figure things out without being discouraged.
  3. The story of Jobs and Woz building the Apple 1 exemplifies how a bit of naivety can lead to groundbreaking ideas and creations.

Example-Driven Development

m3 | music, medicine, machine learning • 0 implied HN points • 17 Aug 23
🕹 Technology AI/ML Programming Tools Development Machine Learning
  1. Providing a wider range of examples to ChatGPT helps in generating more natural-sounding outputs.
  2. Using a local plugin for ChatGPT allows for accessing and providing context from local files for better collaboration.
  3. Example-driven development with LLMs is useful for identifying relevant context, mimicking input characteristics, and making connections between different types of files.

Time, Society & Artificial Intelligence

The Digital Anthropologist • 0 implied HN points • 16 Oct 23
🕹 Technology Artificial Intelligence Society Impact Regulation Productivity
  1. AI impacts how we perceive time and society, influencing economics, politics, and self-perception.
  2. Historically, technology accelerates our lives and work, creating a time deficit and longer to-do lists.
  3. AI could compound our opportunities but also create tension, with potential benefits in managing time and stress levels if used thoughtfully.

Attila Haraszti: The Dire, Bullshit Economics of Twitch Creators

Do Not Research • 0 implied HN points • 15 Feb 22
🕹 Technology Social media Streaming Economics Creativity Online Platforms
  1. The majority of Twitch creators do not earn enough to reach the Euro-American minimum wage, relying on additional sources like patrons and sponsorships to make a living.
  2. There is a small percentage of creators on Twitch, approximately 0.117%, who are on track to earn the minimum wage in 2021, highlighting the challenges many creators face in achieving sustainable incomes.
  3. The creator economy includes around 50-60 million 'aspiring' content creators worldwide, but only a fraction of them, about 1 million, are considered 'professionals' who can make at least the minimum wage from social platforms.

Must Learn KQL Part 1: Tools and Resources

Rod’s Blog • 0 implied HN points • 31 May 23
🕹 Technology Data Analysis Tools Resources Learning
  1. KQL (Kusto Query Language) is a powerful but simple query language used in tools like Defender, Microsoft Sentinel, and Intune.
  2. There are numerous resources available to learn KQL, like cheat sheets, practice environments, reference guides, and tools like Kusto.Explorer and Visual Studio Code with Kusto extensions.
  3. The Must Learn KQL series aims to provide valuable information for enhancing skills in security platforms and data-centric applications that utilize KQL.

The Future of AI, Product, and Agentic Software

domsteil • 0 implied HN points • 23 Nov 24
🕹 Technology Artificial Intelligence Product Management Software Development Data science Business Models
  1. AI evaluations need to go beyond just accuracy. They should focus on how helpful the AI is to users and if it meets their needs effectively.
  2. High-performance teams thrive on collaboration and quick feedback. Effective product managers should remove barriers and encourage teamwork to create innovative solutions.
  3. Agentic software is changing how businesses operate by using smart pricing models that reflect the value AI delivers. Companies must start with smaller clients to build a strong foundation for growth.

[in case you missed it] Data Science Weekly - Issue 311

Data Science Weekly Newsletter • 0 implied HN points • 09 Nov 19
🕹 Technology Artificial Intelligence Machine Learning Data science Healthcare Tech Software Development
  1. Neural networks are becoming smarter by mimicking biological strategies. This could be key to creating truly intelligent machines.
  2. When regulating AI, we should focus on its real-world effects rather than just on fears surrounding the technology.
  3. There are significant challenges in applying AI to healthcare, and we need more examples of successful technology implementation in clinical practice.

IC Reform is Great, but Decent Privacy Laws Would Be Even Better

Seriously Risky Business • 0 implied HN points • 15 Jun 23
🕹 Technology Incident Response Cyber Attacks Internet Security Data Privacy
  1. IC reform is important, but decent privacy laws are even more crucial.
  2. The US Intelligence Community needs better policies to protect citizens' privacy and civil liberties regarding Commercially Available Information (CAI).
  3. The focus on improving IC behavior regarding CAI should also extend to federal data privacy legislation to prevent data misuse by law enforcement and foreign adversaries.

[in case you missed it] Data Science Weekly - Issue 319

Data Science Weekly Newsletter • 0 implied HN points • 04 Jan 20
🕹 Technology Data science Machine Learning AI Programming Research
  1. Becoming an independent researcher can be tough, but it may open up new paths for publishing. There's a balance to consider between freedom and potential challenges.
  2. AI is making strides in reading medical images like mammograms. This tech might help doctors find signs of cancer earlier and more accurately than before.
  3. Working on data projects is not just good for learning; it's super useful for impressing future employers. Showing what you've done can set you apart in job applications.

Technology: Why We Love & Hate It

The Digital Anthropologist • 0 implied HN points • 15 Jun 23
🕹 Technology Impact Society Future Reality Development
  1. Our relationships with technology are deeply rooted in culture and history, influencing how we love or hate a technology.
  2. Determining our feelings towards technology depends on its impact on our imagined futures and reality, shaped by cultural factors.
  3. Understanding the societal, economic, and individual impacts of technology helps in governing and innovating more human-centric products.

More things need to be made programmable

Expand Mapping with Mike Morrow • 0 implied HN points • 13 Feb 25
🕹 Technology Software Programming Automation Innovation AI
  1. Creating small apps has become much easier with tools that let you describe what you want in simple language, and the code appears for you.
  2. Many everyday devices should be able to run code themselves without needing complex setups or smart home networks, like rice cookers and bread machines.
  3. It's important for more devices to have user-friendly ways to execute scripts and do useful tasks instead of just being controlled by apps.

Good LLM use cases

Expand Mapping with Mike Morrow • 0 implied HN points • 12 Feb 25
🕹 Technology AI LLM Data Applications Innovations
  1. Many people are trying to use LLMs, but often they aren't sure what problems to solve. It's important to find the right match between the tool and the issue.
  2. LLMs can be really useful for tasks like translation, helping people find information, and working with data. These are some of the best ways to use them.
  3. Successful LLM applications will focus on these core uses. It's all about using the technology for what it does best.

[in case you missed it] Data Science Weekly - Issue 321

Data Science Weekly Newsletter • 0 implied HN points • 18 Jan 20
🕹 Technology Data science Machine Learning Artificial Intelligence Analytics Programming
  1. Hiring smart people can be tricky because many recruiters rely on strict rules and fancy degrees. There’s a chance to find great talent if you look beyond the typical criteria.
  2. As machine learning gets better, it can sometimes cause mistakes in human decision systems, known as the 'Uncanny Valley.' It's important to design these systems carefully to avoid problems.
  3. TinyML is an exciting area of machine learning that lets small devices analyze data using minimal power. This means everyday items like printers and cars can now perform complex tasks with smarter tech.

[in case you missed it] Data Science Weekly - Issue 336

Data Science Weekly Newsletter • 0 implied HN points • 02 May 20
🕹 Technology Data science Artificial Intelligence Machine Learning Natural Language Processing Software Development
  1. Tornado plots are a unique way to display time series data, showing how values change over time in a more dynamic way. They help visualize trends in a more engaging format.
  2. An open-source chatbot named Blender, developed by Facebook, is designed to be more human-like in conversations. It is the largest chatbot model available and can be used by other researchers.
  3. The use of machine learning (ML) for optimizing chip design is becoming important as hardware needs to keep up with advancing technology. It could help speed up the design process significantly.