

It’s still only one black hole. It’s one huge datapoint.
It’s still only one black hole. It’s one huge datapoint.
Having a barely passable sense of style and cooking, I guess.
Eww, no, I’d never date anyone with religious views.
Of that one mission, right? Until you have thousands of these days sets, it’s the wrong approach.
There aren’t a lot of high resolution images of black holes. I know of one. So not a lot.
They could be smart and set up a different brand.
Or they care about you and want you to “see the light”. Most people drinking the conspiracy kool-aid aren’t evil, just gullible and ignorant.
A greenhouse you can drive. I guess designed for people living above the 50th parallel.
Kalman filters can be used to filter noise from multivariate data, and it’s just a simple matrix transform, no risk of hallucinations.
Neutral networks are notoriously bad at dealing with small data sets. They “overfit” the data, and create invalid extrapolations when new data falls just a little outside training parameters. The way to make them useful is to have huge amounts of data, train the model on a small portion of it and use the rest to validate.
Absurd/non sequitur comedy plus hive mind.
Butt knuckles?
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If you’re both getting the amount and quality of sex you want, that’s a healthy sex life.
Not a jerk at all, I just was curious what the biggest moth was and then searched for images.
One banana, one peach and six blackberries.
Speak for yourself. I’m a solvem probler.
They had edit.com from the DOS era.