claude code is so fast that I can only monitor one agent effectively at a time because i'm still having to do a lot of mental thought supervising the junior SWE agent
Generative AI creates tokens, humans right now have to supervise a significant fraction of those tokens to create value. The success of agents is in the token throughput (unsupervised being way faster)
When the data center is in your neighborhood, you now live with your economic competetion. Read this in a YT comment in protect to a datacenter in monterey park
"Stealing our jobs wasn't enough for these techies in San Francisco.
They want to steal our electricity and water too."
Seeing this after the Kansas City SB loss changed me as a fan. Disappointed with how the season ended, but the niners gave it everything and we got to see some great football!
here is a tasks file i edit with sublime text. i've barely coded in the past few days but feel like i've been quite effective with claude code
tasks
6. add some input validation to upload transcription file
7. we want to move towards an architecture where work is queued for async computing
9.
10. <PLACEHOLDER>
progress
3. step through and learn how mt3 works
done
2. build my personal website
1. install transcription API on vast instance
5. serve the transcription api
7. deploy Imagemorph on vast
8. reduce linode to nanode
4. document linode/vast architecture