Is that not a toad?

I was in army cadets for like 2 years about 17 years ago and could still do this with 0 effort and I have a very poor sense of rhythm.

Trust me, anyone that’s spent more than like an hour learning to march could still do it with ease decades later.

Are you sure she wasn’t “subtly” trying to bring it up to you to test the waters to see if you might want to get freaky?

It’s a catch 22if they are are violent they get the BLM treatment from the media and gives Trump an excuse to continue his civil war / coup. If they are peaceful then they are simply ignored.

What?

Now compare that with the various time iran has been stopped, with either violence or diplomacy, from advancing their nuclear program.

This is just whatever the fuck you had in the fridge shoved onto a plate.

And OP speaks for all disabled people or something?

What a doofus

You’re the one that’s against riots mate

Yes, it only takes 1 stupid dictator to use one to fuck over everyone. Like as much as I hate Israel existing as a state, I dint want them to get nuked, and there is a very non-zero chance that they would use them on Israel. Then Trump/bibi might want to retaliate against Iran and at that point fucking anything could happen, the cats out of the bag at that point, Russia might justify there use in ukrain, if Israel survives it could use them on their unfriendly neighbours in “”““self defence””“”, and things just escalate and escalate until we’re all dead.

60% enriched is way more than you need to generate electricity.

Yeah I’m not defending israels illegal actions, just sayings it’s at least based on something real unlike the fake wmds

That figure is from the IAEA, not Israel. Also it’s actually 60% and I misremembered.

I don’t think boot counts as 1 of your 5 a day honestly

How does the boot taste?

When did they admit that?

Would he be more confused by the factory or by the fact an American regulator sent him to a factory in England?

I’m not at that exact company, but a very similar one.

It’s AI because we essentially we just take early scans from people who are later diagnosed with respiratory illnesses and using that to train a neural network to recognise early signs that a human doctor wouldn’t notice.

The actual algorithm we started with and built upon is basically identical to one of the algoriths used in a generative AI models (the one that takes an image, does some maths wizardry on it and tells you how close the image is to the selected prompt). Of course we heavily modify it for our needs so it’s pretty different in the end product, and we’re not using its output to feedback into a denoiser and we have a lot of cognitive layers and some other tricks to bring the reliability up to a point we can actually use it denoise, but it’s still at its core the same algorithm.