dandan

joined 1 year ago
[–] dandan@kbin.social 2 points 1 year ago

No one's mentioned this yet, but more powerful electromagnets, which could mean more of a chance to get a fusion reactor working.

[–] dandan@kbin.social 1 points 1 year ago

Yeah, 100%. Look at the other replies to my comment and you can see people getting sucked into that narrative...

Ackshully.... vegans don't get all the essential nutrients to survive 🤡

If any of those boneheads actually read the article, it says she was eating sunflower seed sprouts which are a complete protein.

[–] dandan@kbin.social 4 points 1 year ago

In the article it says she eats sunflower seed sprouts. A cursory google search says these are a complete protein containing all the essential amino acids.

[–] dandan@kbin.social 36 points 1 year ago (29 children)

You missed an important part of the headline "is feared to have..."

It says she caught a "cholera like" infection

[–] dandan@kbin.social 4 points 1 year ago

When caffeine addiction is your whole personality

[–] dandan@kbin.social 1 points 1 year ago

This will be interesting. I've always assumed my P is just ADHD.

[–] dandan@kbin.social 7 points 1 year ago* (last edited 1 year ago)

I like that kbin and Lemmy aren't going to have an entire team of people doing continuous A/B testing to find what drives the most engagement.

Much less chance of this ending up as a dopamine slot machine.

[–] dandan@kbin.social 2 points 1 year ago* (last edited 1 year ago) (1 children)
[–] dandan@kbin.social 1 points 1 year ago

What if the website doesn't use cookies?

[–] dandan@kbin.social 9 points 1 year ago* (last edited 1 year ago) (2 children)

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

[–] dandan@kbin.social 1 points 1 year ago

Ahh ok. I didn't want to assume as I'm not familiar with the details.

[–] dandan@kbin.social 28 points 1 year ago* (last edited 1 year ago) (4 children)

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.

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