an agent in every cup

collecting bits & bobs about building alliances with other intelligences

kaiton

All AI Models Might Be The Same

blog.jxmo.io

Eureka Labs

eurekalabs.ai

Thumbnail of Excerpts from a conversation with John Wiegley (johnw) and Adam Porter (alphapapa) about personal information management :: Sacha Chua

Sacha Chua • Excerpts from a conversation with John Wiegley (johnw) and Adam Porter (alphapapa) about personal information management :: Sacha Chua

Compound Engineering: How Every Codes With Agents

every.to

A quick example from my life: Twitter didn’t replace Facebook. The iPad didn’t replace my phone. My phone didn’t replace my TV. Now, I watch YouTube on my iPad, toss the video up to my TV, while checking Twitter and Facebook on my phone. It’s a little constellation of technology. But I keep asking myself: how many more things can I juggle? And for... See more

Frank Chimero • Frank Chimero · The Web’s Grain

Tasklet AI

tasklet.ai

Learning From Data - Online Course (MOOC)

work.caltech.edu

“Who is the right homeless client?”: Values in Algorithmic Homelessness Service Provision and Machine Learning Research | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Angela D. R. Smith dl.acm.org

Thumbnail of “Who is the right homeless client?”: Values in Algorithmic Homelessness Service Provision and Machine Learning Research | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Nearly all popular consumer software has been trending towards minimal user agency, infinitely scrolling feeds, and garbage content.