Gossip Glomers
This blogpost introduces the 'Gossip Glomers', a series of distributed systems challenges that combine real code with academic rigor to teach people about distributed systems theory and help them gain practical experience.

How DoorDash Designed a Successful Write-Heavy Scalable and Reliable Inventory Platform
Designing and implementing a scalable and reliable inventory platform to manage a large number of items for multiple merchants in the Convenience and Grocery business.

Ink Note Feb 2023: Crosscut Extension Design Jam • Marcel's Notes
Explores the design and limitations of the Crosscut extension model focusing on local constraint solving, dataflow visualization through algebraic expressions, split operators, handling circular dependencies, and potential extensions like propagating guesses and bridging information to improve interactive geometry constraint solving.

Ink Note Feb 2023: Crosscut Extension Design Jam • James's Notes
Exploring design improvements for the Crosscut extension to achieve truly bidirectional circuit programming by integrating meta-ink visual relationships with declarative formula-like expressions, enhancing intuitive creation and encapsulation of reusable components.

Ink Note Feb 2023: Crosscut Extension Design Jam • Alex's Notes
Exploration of well-formedness rules, spatial queries, and component abstraction in Crosscut circuit design to enhance usability and functionality.

How a Brown professor sharpened and shrunk GPT-3
How a Brown professor improved GPT-3 by shrinking it and using multitask training with curated data.
Shipping Logs
This blogpost explains how to ship logs from your applications, centralize them, and use log aggregators like Logtail.

Cleanlab CEO shows automatic data-cleansing tools
Cleanlab CEO demonstrates automatic data-cleansing tools for model training, exposing millions of errors in benchmark datasets

Generative AI on Roblox: Our Vision for the Future of Creation
Exploring the future of creation on Roblox through the implementation of generative AI.

How should AI systems behave, and who should decide?
Exploring ethical considerations in AI system behavior and decision-making

Fixing Go’s Linker: An Unexpected Journey into ARM64, DWARF, and Linker Internals
An in-depth exploration of fixing Go's Linker on ARM64 and debugging its misbehavior on Apple Silicon
Prioritizing Home Attributes Based on Guest Interest
This blog post discusses how Airbnb uses machine learning to extract guest preferences from unstructured text data and provide personalized recommendations to hosts based on home attributes.