5,194 karma · joined May 2, 2012
LLMs have made one thing clear: intellectual laziness is even more pervasive than we previously thought, even among "knowledge workers".
A lossless source (or analog, whatever your preference) and great speakers/amps can't overcome a bad sounding room - or a piece of music that was mixed/mastered poorly.
I love California, but it's funny/sad the extent to which many Californians deny that other parts of the USA have us beat in some regards.
I will attempt to use Asahi as my daily driver once this is officially released.
I use wired at home, where I'm not cycling the connection very much.
Otherwise, we cannot say that 1 is O(x), for example.
For example: "the function x^2 is O(x^3)" is a valid sentence in big-O notation, and is true.
Big O is commonly used in other places besides analysis of algorithms, such as when truncating the higher-order terms in a Taylor series approximation.
Another example is in statistics and learning theory, where we see claims like "if we fit the model with N samples from the population, then the expected error is O(1/sqrt(N))." Notice the word expected - this is an average-case, not worst-case, analysis.
We can also reduce supervised learning to reinforcement learning, but that doesn't mean we should use RL algorithms to do supervised learning.
We can also reduce sorting a list of integers to SAT, but that doesn't mean we should use a SAT solver to sort lists of integers.