The hottest Data Substack posts right now

And their main takeaways
Category
Top Literature Topics

Stealing fire from the gods

Kiernan • 0 implied HN points • 06 Nov 23
🕹 Technology Data
  1. Technological achievements have irreversible consequences that humanity must learn to live with.
  2. Generative AI is producing content so human-like that it's challenging to distinguish from real, impacting the way we process data.
  3. Data providence and trustworthiness will be crucial in a world flooded with low-quality generated content.

AI Reproducibility Crisis

Brain Lenses • 0 implied HN points • 01 Feb 24
🕹 Technology Data
  1. AI systems can sometimes appear successful based on unintended factors, such as background images, rather than the desired data.
  2. AI reproducibility issues can arise when original research findings cannot be accurately replicated or verified.
  3. The validity and reliability of AI-based techniques require thorough evaluation and validation procedures.

Inaccuracy Is Your Friend - Squadron Weekly Email

Squirrel Squadron Substack • 0 implied HN points • 26 Nov 23
💼 Business Data
  1. Don't focus on having perfectly accurate data; multiple sources of truth are beneficial.
  2. Even with noisy and conflicting data, successful outcomes are possible, as seen with the Apollo 11 landing.
  3. Embrace inconsistent information and make decisions based on the bigger picture, like looking out the window, rather than getting bogged down in details.

Links for Fall 2023

Perambulations • 0 implied HN points • 20 Nov 23
🔬 Science Data
  1. Cats are evolutionarily perfect due to their extreme specialization for hunting.
  2. Data visualization can lead to cognitive errors and should be carefully considered.
  3. Polygenic risk scores have marginal benefits in disease screening and may not be effective for population-wide risk stratification.

HN blogs - 10/2/24

HackerNews blogs newsletter • 0 implied HN points • 10 Feb 24
🕹 Technology Data
  1. Creating alternative browser engines for iOS is a topic of interest in tech blogs.
  2. Building a chat feature with a PDF app in a short amount of code is showcased.
  3. There are various unique and thought-provoking topics being discussed in tech blogs, such as implementing Mac virtual displays and literary programming.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Five thoughts for 2022

The Intersection • 0 implied HN points • 09 Jan 22
🕹 Technology Data
  1. 2022 is predicted to have ups and downs like 1999, followed by unexpected changes in the next 15-20 years.
  2. Creativity is now decentralized, open to anyone with determination to create, and technology plays a crucial role in democratizing creative work.
  3. The power is shifting from social media platforms to individual creators, making individual creators the focus rather than the platforms themselves.

🧆 Newsletter #32: Rails Conf 2022, let Slack say "hummus", work with data...

Women On Rails Newsletter - International Version • 0 implied HN points • 24 May 22
🕹 Technology Data
  1. Rails Conf 2022 had a positive impact with various community members giving talks and sharing knowledge. Supporting inclusive communities like WNB.rb is essential in tech.
  2. Using data effectively is crucial in tech - learn to tell compelling stories with data to justify technical decisions and report bugs convincingly.
  3. Explore topics like sharding data for scaling databases, choosing bug tracking tools wisely, and breaking down problems effectively for better problem-solving skills in tech.

AI and the art of doing with little-Part 1

Experiments with NLP and GPT-3 • 0 implied HN points • 05 Mar 24
🕹 Technology Data
  1. In the AI field, access to large amounts of compute power and data is crucial, but it can be expensive and a barrier for many. This can lead to a reliance on funding and resources, putting a focus on money as a determinant of success.
  2. The author emphasizes the importance of simpler, more accessible experiments in AI research, drawing inspiration from V.S. Ramachandran's approach in neuroscience. Small, innovative solutions may offer promising alternatives to standard big science methods.
  3. There is a push for exploring new ways to tackle AI challenges beyond the current reliance on GPUs and deep learning models. The idea of creating open-source datasets and involving young talents from India in research signifies a shift towards more inclusive and collaborative approaches.

GPT Bias: A Challenge for Responsible AI

Rod’s Blog • 0 implied HN points • 27 Feb 24
🕹 Technology Data
  1. GPT models can inherit and amplify biases from the data they are trained on, leading to negative impacts like misinformation and discrimination.
  2. GPT bias stems from both data bias (issues with the training data) and model bias (issues with the model design and architecture).
  3. There have been advancements in GPT models over the years, with newer versions like GPT-4 implementing techniques to reduce biases compared to earlier versions.

Building Microsoft Sentinel Detections for Azure Open AI

Rod’s Blog • 0 implied HN points • 02 Mar 23
🕹 Technology Data
  1. Questions about safety and security in Azure Open AI should be addressed early on to ensure preparedness when issues arise
  2. Monitoring Azure Open AI involves utilizing Diagnostic Settings to enable auditing logs for service activity records
  3. Building Microsoft Sentinel Detections for Azure Open AI involves querying data in AzureDiagnostics and AzureActivity tables to monitor actions and determine valuable security measures

What is Observability?

Technically • 0 implied HN points • 06 Mar 24
🕹 Technology Data
  1. Observability helps teams monitor when things go wrong and profile how things change over time in different software systems
  2. Observability can be divided into 4 major types: infrastructure, application, data, and business observability, each requiring different tools and teams for monitoring
  3. Business observability focuses on monitoring how metrics are trending, important events, and providing proactive alerts to make better decisions

Coming soon

Kevin’s Rackhouse Ramblings • 0 implied HN points • 22 Jul 22
🕹 Technology Data
  1. Kevin's newsletter 'Rackhouse Ramblings' is about musings on Data & AI from a former operator who is now an investor.
  2. The newsletter seems to be coming soon, as indicated by the 'Coming soon' message.
  3. Interested readers can subscribe to Kevin's newsletter on 'rackhouse.substack.com'.

The end of hypertext

Steven’s Substack • 0 implied HN points • 20 Mar 23
🕹 Technology Data
  1. The internet is shifting from being text-based like a book to being more interactive like conversing with authors.
  2. AI search results are evolving, leading to 'zero-click' searches, where users don't click through to websites, impacting traditional publishers.
  3. Generative AI is transforming information search, enabling the creation of bespoke content and the interaction with vast pools of structured and unstructured data.

𝑨𝑰 𝑳𝒐𝒈 𝟪 𝖣𝖾𝖼 𝟤𝟢𝟤𝟥

ailogblog • 0 implied HN points • 08 Dec 23
🕹 Technology Data
  1. Illustrating the AI future is as crucial as writing about it, both for understanding and creativity
  2. Problems exist with the way plagiarism detection with AI is used, impacting student-teacher relationships
  3. The environmental impact of using large AI models is significant, and the energy costs are concerning

GRANTED: The difference between popularity and impact

Granted • 0 implied HN points • 27 Jun 21
🚌 Education Data
  1. The goal of sharing ideas isn't for everyone to agree, but for some to learn from you and for you to learn from them.
  2. Popularity is measured by likes, while impact is measured by the lives you enrich.
  3. Productivity is driven by purpose and process, not just the physical location of work.

Nudges, Identity and Covid-19

Joshua Gans' Newsletter • 0 implied HN points • 06 May 21
🏥 Health & Wellness Data
  1. An impressive study in India evaluated interventions to increase vaccination rates for children, showcasing the effectiveness of reminders, incentives, and influential individuals in promoting immunizations.
  2. Studying data and identities during pandemics is crucial for tracking and monitoring testing patterns to ensure workplace safety and address vaccine hesitancy.
  3. Conducting research to understand the impact of pausing vaccine administration on short and long-term vaccine hesitancy is essential for informing public health policies.

Economists "versus" epidemiologists

Joshua Gans' Newsletter • 0 implied HN points • 25 Nov 20
🏥 Health & Wellness Data
  1. Economists and epidemiologists have distinct biases, with the former focused on persuasive economic arguments while the latter often struggles to convince people to act on health advice.
  2. Epidemiologists tend to highlight worst-case scenarios to persuade action, which can sometimes lead to mistrust in projections and slower government responses.
  3. The tools of persuasion differ between economists and epidemiologists, with economists relying on data while epidemiologists are still evolving their policy-making approaches.

AI and Competition Policy

Joshua Gans' Newsletter • 0 implied HN points • 07 Dec 16
🕹 Technology Data
  1. Big data concentration in ownership can lead to anti-competitive effects.
  2. Technologies that clean and utilize data are crucial for its value.
  3. AI's use of complex algorithms could unintentionally facilitate price coordination, posing challenges for enforcement of competition laws.

Issue index

Hypertext • 0 implied HN points • 27 Mar 24
🇺🇸 U.S. Politics Data
  1. The post contains 19 essays focusing on various important topics like research, policy, and social science.
  2. The essays discuss the importance of evidence-based decision-making and the challenges faced in implementing change.
  3. Authors explore subjects such as research integrity, government transparency, and the complexities of driving societal change.

I kid you not

Links I Would Gchat You If We Were Friends • 0 implied HN points • 09 Jun 16
🕹 Technology Data
  1. Meet Jay Leiderman, the Maserati-driving Deadhead lawyer who defends infamous hackers.
  2. Digital technology has reshaped how we define individuality, connecting us with people and objects.
  3. Phones can significantly impact kids' brains during their early years.

YAAAAAAAAS!

Links I Would Gchat You If We Were Friends • 0 implied HN points • 21 Dec 15
🕹 Technology Data
  1. There are concerns about the gender associations of AI assistants, with a suggestion to call Siri 'Siro' to counteract feminine stereotypes.
  2. Instances of workers in nursing homes abusing the elderly on Snapchat raise disturbing ethical questions about social media use.
  3. The success of Spotify's 'Discover Weekly' playlists is attributed to the power of big data to curate personalized music suggestions.

Feelin the magic

Links I Would Gchat You If We Were Friends • 0 implied HN points • 20 Aug 15
🕹 Technology Data
  1. Living in a world where personal data sharing is necessary but risky can be terrifying.
  2. Google's potential to influence elections is concerning, especially since their operations are opaque.
  3. The ancient Space Jam website, still unchanged after nineteen years, is a nostalgic delight.

·͙⁺˚*•̩̩͙✩•̩̩͙*˚⁺‧͙⁺˚*•̩̩͙✩•̩̩͙*˚⁺‧͙⁺˚*•̩̩͙✩•̩̩͙*˚⁺‧͙

Links I Would Gchat You If We Were Friends • 0 implied HN points • 19 Dec 14
🕹 Technology Data
  1. Infomania refers to hoarding digital content, which can be less funny due to privacy concerns.
  2. Some people have witnessed the development of social networking from its early days in the '90s.
  3. The Boston Globe reconstructed the life of Amazon's top reviewer who declined an interview.

It could be worse (!!)

Links I Would Gchat You If We Were Friends • 0 implied HN points • 06 Oct 14
🕹 Technology Data
  1. Kim Kardashian spoke at a tech conference, ranked lower than other tech figures - surprisingly hilarious!
  2. Phone booths are being converted to track smartphones in New York, while used as charging stations in London - so sneaky!
  3. Data brokers like NewsBios create detailed dossiers on journalists, including their politics and self-esteem - creepy and concerning!

Get Excited with Me

Are You Okay? • 0 implied HN points • 01 Apr 21
🏥 Health & Wellness Data
  1. The vaccines have shown strong effectiveness against symptomatic COVID-19 after full vaccination, making it difficult to contract the disease.
  2. After vaccination, the risk of transmitting the virus and making others sick is extremely low, providing protection for both the vaccinated individual and those around them.
  3. The vaccines have proven to be powerful against COVID-19 variants, with data showing high efficacy in preventing severe disease and even mild cases, emphasizing the importance of vaccination.

Coming soon

Data Plumbers • 0 implied HN points • 30 Mar 24
🕹 Technology Data
  1. The post is about an upcoming launch by Data Plumbers, happening on substack.com
  2. The post includes an image and link to Puneet Sachdeva's profile on substack
  3. Interested readers can subscribe to Data Plumbers on substack for updates

API or Platform

Venture Prose • 0 implied HN points • 29 Jul 16
🕹 Technology Data
  1. Entrepreneurs should focus on either building a BtoB SaaS API or a Platform, not both simultaneously.
  2. A BtoB SaaS API offers technology for others to use, while a Platform provides both technology and data to users.
  3. Platforms, which combine tech and data, are harder to succeed with compared to APIs, which focus solely on technology.

Against Digital Supremacy

Cybernetic Forests • 0 implied HN points • 10 Oct 21
🕹 Technology Data
  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.

Dreaming in Infinite Rooms

Cybernetic Forests • 0 implied HN points • 18 Jul 21
🕹 Technology Data
  1. Finding relationships between data points can be achieved through poetry.
  2. AI systems can learn by navigating virtual spaces without physical movement.
  3. AI-generated art reflects what it has encountered and can spark thoughts about human-machine relationships.

Llama 3 Matches GPT-4 Performance with Less Parameters

AI Disruption • 0 implied HN points • 26 Apr 24
🕹 Technology Data
  1. Meta has developed Llama 3 models with fewer parameters than popular GPT-4, showcasing strong performance with slight differences.
  2. Llama 3 uses extensive data training and a new model optimization approach, contributing to its competitive capabilities in the language model landscape.
  3. Synthetic data research is essential for future AI advancements, as the effectiveness of models relies on the quality and innovation of generated data for training.

Today’s Top 5 HN posts

Top 5 HN Posts of the day • 0 implied HN points • 20 May 24
🕹 Technology Data
  1. Llama3 was implemented from scratch, intriguing for tech enthusiasts.
  2. Coding My Handwriting project sounds like an interesting tech-related endeavour.
  3. The Lunacy of Artemis post could intrigue those interested in intriguing stories or unique perspectives.

Today’s Top 5 HN posts

Top 5 HN Posts of the day • 0 implied HN points • 17 May 24
🕹 Technology Data
  1. Today's top 5 HackerNews posts cover a range of topics like a forged Apple employee badge, Slack AI training with customer data, and exercises to learn Rust.
  2. The posts also include news about Winamp opening up its source code and visualizing algorithms for rate limiting.
  3. Bonus section highlights job opportunities at companies like OneSignal, Skio, and Reflex, showing Y Combinator's reach in the tech hiring space.

Data Leadership #3 Understanding Open Source and Open Core

The Orchestra Data Leadership Newsletter • 0 implied HN points • 13 Oct 23
🕹 Technology Data
  1. Not all open source software is equal; some may have hidden dependencies and limitations.
  2. Open source software is like a public good, free for all to use, and can benefit society by encouraging contributions for the greater good.
  3. Open-core projects, although open-source to an extent, operate with a profit motive by offering certain features as paid, leading to potential vendor lock-in and disappointment for users.

Trends, Business at the Speed of AI, and ML Tools

Gradient Flow • 0 implied HN points • 22 Jan 20
🕹 Technology Data
  1. Key AI and data trends for 2020 are worth paying attention to.
  2. Organizational structures and processes for AI at companies like Rakuten can serve as models for others.
  3. New software could make commodity hardware effective for deep learning, reducing the need for specialized hardware.