Am Neumarkt 😱

smol-course/8_agents at main · huggingface/smol-course https://github.com/huggingface/smol-course/tree/main/8_agents

#misc Alex Immerman on X: "Waymo's market share is now equal to Lyft within SF. Incredible. Network effects is one of the best sources of defensibility. But it's proven to be not that important in ridesharing. You need a minimum network size, but once you have that, there are diminishing returns. In https://t.co/0l0fKk9qoC" / X https://x.com/aleximm/status/1867257473671082356

#misc https://www.reddit.com/r/dataisbeautiful/s/ElsdzOlZpt

https://neurips.cc/Conferences/2024/PicardStatement

#misc Nobody taught her morals and values. It's easy to just select evidence to support one's bias. But it's lazy and wrong. https://x.com/ZhiyuChen4/status/1867749127792050342?t=MkqRyiGZIZPuApRZCFfcGQ&s=19

#data Nice. Observable's new data app generator. https://observablehq.com/framework/

#misc 24k lines of code developed on a phone. https://github.com/OXY2DEV/markview.nvim/issues/216#issuecomment-2522260393

#visualization introduction | Deneb https://deneb-viz.github.io/

#funny Wtf is this. shamith09/pygyat: Python with rizz. https://github.com/shamith09/pygyat

#ai Funny article On Chomsky and the Two Cultures of Statistical Learning https://norvig.com/chomsky.html

#visualization Plotly will supports polars natively in v6 . https://github.com/plotly/plotly.py/releases/tag/v6.0.0rc0

#ai DeepMind published this report about the different aspects of AI for scientific discovery. For example, they proposed five areas to use AI: 1. Knowledge: Transform how scientists digest and communicate knowledge 2. Data: Generate, extract, and annotate large scientific datasets 3. Experiments: Simulate, accelerate and inform complex experiments 4. Models: Model complex systems and how their components interact 5. Solutions: Identify novel solutions to problems with large search spaces