an agent in every cup
collecting bits & bobs about building alliances with other intelligences
an agent in every cup
Programming is hard — it's hard for beginners to create and understand programs which makes programming as an expressive medium inaccessible. It's hard for experts — even I (the library's maintainer!) had difficulty understanding Fuzzyset, fixing bugs, and adding features. Programming is not just hard, but in my opinion it's needlessly hard,... See more
Fuzzyset
Ultimately, I think programming models and UIs have to change to accomodate human cognition and social processes for dealing with complexity — once it does, programming will be a lot easier for experts and a lot more accessible to beginners. Until then!
Data Enrichment Work and AI Labor in Latin America and the ...
arxiv.org
OmniQuery: Contextually Augmenting Captured Multimodal Memories to Enable Personal Question Answering
SOCIAL MEDIA TITLE TAG
GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees
arxiv.org
This write-up is about practical patterns for integrating large language models (LLMs) into systems & products
GitHub - microsoft/TinyTroupe: LLM-powered multiagent persona simulation for imagination enhancement and business insights.
github.com
AI is aggregated human intelligence. So it’s better to call it collective intelligence than artificial intelligence.
Emphasizing the collectivity (something built on the commons) over the artificiality (a feat of technology) gives us an entire new way to see, perceive and relate to the technology.
-via Holly Herndon, in conversation with Ezra Klein