Am Neumarkt ๐Ÿ˜ฑ
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Machine learning and other gibberish
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a-new-golden-age-of-discovery_nov-2024.pdf
1.4 MB
#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
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#ai

Funny article

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

Nice. Observable's new data app generator.


https://observablehq.com/framework/
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#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
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#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
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smol-course/8_agents at main ยท huggingface/smol-course
https://github.com/huggingface/smol-course/tree/main/8_agents
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