The hottest Data Substack posts right now

And their main takeaways
Category
Top Literature Topics

First principles on AI scaling

DYNOMIGHT INTERNET NEWSLETTER • 1 HN point • 06 Mar 23
🕹 Technology AI Data Compute Language Models Innovation
  1. Using scaling laws can help predict how much better language models will get with more computational power or data.
  2. The majority of the error in language models comes from limited data, rather than limited model size.
  3. To improve language models significantly, more data and compute are needed, but there may be a limit to how much more can be added with current technology.
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Compliance and Transparency of Immutable Functions in Diamonds

EIP-2535 Diamonds • 1 implied HN point • 07 Apr 23
🕹 Technology Blockchain Transparency Compliance Functions Data
  1. The EIP-2535 Diamond standard emphasizes the importance of emitting and returning immutable functions for transparency.
  2. Transparency is crucial to prevent confusion and incorrect data about immutable functions in diamonds.
  3. Ensuring compliance with EIP-2535 Diamond standards avoids situations where functions are unintentionally duplicated or incorrectly referenced.

Scaling and Orchestrating Large Language Models: In Conversation With Databricks CTO Matei Zaharia

Unsupervised Learning • 1 implied HN point • 20 Mar 23
🕹 Technology AI Startups Data ML Ops Cloud Computing
  1. Decoupling semantic understanding and facts in large language models is challenging and using external indexes for knowledge retrieval can be powerful.
  2. Pulling work out of large language models and into code can give engineers more control and help with complex workflows.
  3. The need for scale in training large language models poses challenges as few can reproduce the largest models, impacting research and innovation.

Where does the mean squared error come from?

The Palindrome • 0 implied HN points • 21 Dec 23
🔬 Science Statistics Data Machine Learning
  1. Mean squared error is a common loss function for machine learning models due to its mathematical simplicity and alignment with statistical principles.
  2. Absolute value functions are not commonly chosen for loss function in machine learning due to issues with differentiability at zero.
  3. The linear model and mean squared error naturally arise when approaching machine learning with a statistical mindset.

Weekly Update Jan 8-12

Business Breakdowns • 0 implied HN points • 12 Jan 24
🕹 Technology Data Privacy
  1. Snowflake acquired Samooha to enhance data clean rooms for targeted marketing.
  2. Clean rooms store anonymized data for precise user targeting while maintaining privacy.
  3. Paid subscribers can access the full post for more updates and insights.

A Time When Trusting AI Matters

The Grey Matter • 0 implied HN points • 10 Oct 23
🕹 Technology AI Data Models Algorithms Ethics
  1. The Flint water crisis demonstrates the importance of trusting AI to address critical issues like identifying lead pipes.
  2. AI can significantly improve efficiency in tasks like predicting hazardous pipes, but it requires trust and acceptance from both authorities and the public.
  3. The decision to not fully utilize AI in the Flint water crisis led to inefficiencies, showing the balance needed between skepticism and the potential benefits of AI.

How to Measure Anything

TeamCraft • 0 implied HN points • 21 Aug 23
🚌 Education Measurement Uncertainty Observation Data
  1. The ability to measure anything can greatly increase your ability to estimate ROI on data initiatives and reduce uncertainty for informed decision-making.
  2. Rethink measurement by understanding that you only need to reduce uncertainty to a manageable level, not eliminate it completely.
  3. Techniques like the Rule of Five, decomposition, and challenging false assumptions about data can help in measuring intangible aspects effectively.

PlacesGPT

Expand Mapping with Mike Morrow • 0 implied HN points • 12 Dec 23
🕹 Technology APIs GPT Data
  1. PlacesGPT brings point of interest data into ChatGPT.
  2. Using Google's Places Text Search API helps with ambiguous address queries.
  3. The Google Places API usage for PlacesGPT will be limited due to cost until the GPT marketplace launches.

Will Model Weights Be Patented?

Embracing Enigmas • 0 implied HN points • 07 Mar 23
🕹 Technology AI Patents Data Complexity Enforcement
  1. Model weights in AI may become a subject of patenting, similar to chemical molecules.
  2. Current AI models are approximations that may converge to similar results, leading to a race for patenting to gain advantage.
  3. Enforcing patents on model weights in AI may face challenges due to the complexity of the weights and the rapidly evolving nature of the field.

Data Set Match is moving on

Data Set Match • 0 implied HN points • 06 Apr 23
🕹 Technology Data Open Source Newsletter
  1. Data Set Match is transitioning to open source software and a new newsletter called Once a Maintainer.
  2. They encourage readers to find them at www.infield.ai and subscribe to Once a Maintainer to learn about open source maintainers.
  3. Their focus is now on supporting the data community and highlighting individuals in the field.

On Rails in Mt. View California 🚂

Thinking Through • 0 implied HN points • 03 Jul 23
🕹 Technology Data Transportation Engineering Manufacturing Logistics
  1. The public data on rails in the Bay Area provides interesting insights, like weight, manufacturing details, and design specifications.
  2. Rail dimensions like height and width play crucial roles in supporting the track and preventing rail rolling.
  3. Many intriguing questions arise about rails during train rides, from spacing between rails to the forces rails experience.

Knowledge, Plugins and Understanding

Age of AI • 0 implied HN points • 03 Aug 23
🕹 Technology AI Data Plugins Knowledge
  1. AI tools like ChatGPT can benefit from plugins like 'Tasty Recipes' to enhance performance.
  2. Having background knowledge can help AI tools better understand and summarize texts.
  3. Different plugins and tools, like 'PDF summary' plugins and NotebookLM, are being used to improve AI's ability to process and summarize information.

What's Next for Malloy in 2024

Making Things • 0 implied HN points • 09 Jan 24
🕹 Technology Development Data Software
  1. The Malloy community is expanding globally and working on enhancing language capabilities like SQL features.
  2. Efforts are being made to improve analytical completeness by implementing partition clauses and percentile functions.
  3. The team aims to enable users to call arbitrary aggregate or window functions in the underlying database.