Some guy.
To get even more pedantic…
It’s defined on how far light will travel in a vacuum in the time it takes caesium-133 to do a certain number of transitions between hyperfine ground states.
It’s cool how almost all units of measure are defined on caesium
Ahh ok. I didn’t want to assume as I’m not familiar with the details.
It’s the defacto term for how we fit a statistical model to data, unrelated to any copyright concepts. I’m pretty sure we called it “training” back in 1997 when I was doing neural networks at uni, and it’s probably been used well before then too.
Neural nets are based on the concept of Hebbian learning (from the 1930s), because they are trying to mimic how a biological neural network learns.
This concept of training/learning has persisted because it’s a good analogy of what we are trying to do with these statistical models, even if they aren’t strictly neural networks.
If tiktok has banned those words, then maybe tiktok is not the right forum for the topic?
Do we trust them not to steal credentials?
It annoys me how none of the news articles mention spez’s lying about the Apollo Dev trying to blackmail Reddit.
That’s the singular thing that drove me away.
No one’s mentioned this yet, but more powerful electromagnets, which could mean more of a chance to get a fusion reactor working.