getting ready to release distributed python environments @isidentical.bsky.social has been working on for fal.ai it is incredible, we are for sure writing a blog post on it
Growing list of data people to follow@spite.vc @jakthom.com @lloydtabb.bsky.social @grk.bsky.social @teej.bsky.social @randyau.bsky.social @launchit.ai @ryxcommar.bsky.social @thebbennett.bsky.social @beeonaposy.bsky.social @skamille.bsky.social @seanjtaylor.com @emilyriederer.bsky.social
Ok hot take; llm projects are packaged very well, you dont even need docker to productize them
just to be clear mojo is not a python superset yet! it aspires to be one, its a long term goal not something out of the box
have you guys seen creator of LLVM just released a new programming language? why would, world's richest man, bernard arnault create a new programming language?
new addition to fal, FalServerlessRunner - https://github.com/fal-ai/fal/pull/842 best way to run a whole dbt project in fal-serverless works especially well if you use dbt-duckdb, and keep a duckdb file in the fal-serverless persistent filesystem
Do I know anyone who uses databricks notebooks at work? How do you manage python environments?
at least one pr to the docsite repo after every customer call
We are going to move all our internal user events and metrics to duckdb hosted by fal-serverless