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grading is a means to an end (learning, self-improvement, self-actualization) and the professors in the article seem filled with existential dread mostly about the abandonment of those things, not that grading is harder?

how do you explain this gap in your open source side projects / sorry that's when i was apalled about the world and annoyed with llms and spending hours using a sewing machine in the evenings

3/ As we navigate a future increasingly reliant on massive volumes of EO data, Zarr is poised to become a cornerstone of the cloud-native geospatial ecosystem, unlocking new frontiers for scientific discovery and operational applications.

3/ As we navigate a future increasingly reliant on massive volumes of EO data, Zarr is poised to become a cornerstone of the cloud-native geospatial ecosystem, unlocking new frontiers for scientific discovery and operational applications.

i'm not the right person to write an article about how ai training datasets are analogous to henry george's concept of 'land' and the profit generated by proprietary models built on stolen datasets are 'economic rents' but someone has to do it

got my first "make this a thing for llms" issue filed on one of my github repos, start of an era probably

Hosted for ease or bring your keys
Zed's agents support popular models like Claude 3.7 Sonnet out-of-the-box, but you can also bring your own API keys or even use your own models running on your own hardware via Ollama.