OpenAIDALL·E API now available in public beta
Explore the new DALL·E API in public beta release.
DropboxFuture-proofing our metadata stack with Panda, a scalable key-value store
Exploring how Panda, a scalable key-value store, helps future-proof our metadata stack.
A love letter to React
The blogpost discusses the impact of React on the frontend and backend world, focusing on its reactive component system, colocating markup in the app code, and the use of HTML-aware components as extensible building blocks.
Two SigmaOn the Road: Meet Our Engineers at Upcoming Tech Conferences
Meet our engineers at upcoming tech conferences
DoorDashHow to Boost Code Coverage with Functional Testing
Introducing a functional testing approach that helps catch and reproduce bugs, reduces debugging time, and boosts code coverage without manual setup.
Logbook: October 21 to 28, 2022
This blogpost summarizes the changes and updates at Fly.io for the week of October 21 to 28, 2022, including improvements to Postgres docs, a PSA about Fly Postgres not being fully managed, integrating the Elastic Stack into a Laravel app, shutting down an idle Phoenix app, an explanation of Fly Apps v1 and v2, and colorblind-friendly dashboard improvements.
Ink and SwitchPotluck: Dynamic documents as personal software
Gradually enriching text documents into interactive applications
The New York TimesHow We Recreated the Dixie Wildfire’s Plume from Radar and Satellite Data
Recreating the Dixie Wildfire’s plume using radar and satellite data, a team of engineers and wildfire experts visualized how fires create their own weather patterns.
SoundCloudBar Raiser Interview
Changing the interview process during remote working to improve recruiting
Google DeepMindDigital transformation with Google Cloud
Exploring AI projects in document understanding, wind energy, and AlphaFold in partnership with Google Cloud.
OpenAIScaling laws for reward model overoptimization
Exploring scaling laws in reward model overoptimization
OpenAIScaling laws for reward model overoptimization
Understanding the scaling laws involved in overoptimization of reward models.