Join 📚 Edwin's Highlights
A batch of the best highlights from what Edwin's read, .
The open source part, though, is distinct: open source models running locally might be a big boon to Apple, but they are the truly disruptive threat to centralized companies like Google and OpenAI. In other words, they are a third force, distinct from regulators and centralized operators; they are the Radical Reformation.
Google I/O and the Coming AI Battles
stratechery.com
What Abraham de Moivre showed was that, provided that the number n of trials is large, the binomial distribution can be accurately approximated by another distribution, called the normal distribution. The graph on the opposite page shows the binomial distribution for the number of Heads when a fair coin has been spun 15 times. The normal distribution is the smooth curve, which fits the binomial distribution, the collection of rectangles. The area in the rectangles is close to the area under the curve.
The Little Book of Mathematical Principles, Theories & Things
Robert Solomon
In all of this keep in mind that the idea is to inform your purposeful practice and point it in directions that will be more effective. If you find that something works, keep doing it; if it doesn't work, stop. The better you are able to tailor your training to mirror the best performers in your field, the more effective your training is likely to be.
Peak
Anders Ericsson, Robert Pool
...catch up on these, and many more highlights
Readwise