I go through all the machine learning arXiv submissions each week and summarize 10 to 20 of my favorites. Free forever and read by thousands of ML researchers and practitioners.
Platform | Substack | Pricing | Only free issues | Publishes | Weekly |
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Issues | 99 | Subscribers | Read | dblalock.substack.com |
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Good news: we got a bunch of important findings this week.
In case you’re wondering what I’ve been up to instead of posting for the past couple months, I was kicking off a training run for a 100T parameter biological neural network:
Besides getting to cover unusually interesting work, the upside of having a big backlog is that you can group your coverage thematically. This week’s themes are data, scaling curves, and data scaling curves.
What "research" entails day-to-day varies by field, subfield, problem, and individual researcher. However, there are clusters of project types and research tendencies that tend to go together.
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