

MRIs use GPUs for image reconstruction. I can’t imagine why you would use rowhammer on a recon server. So the image will have more artifacts? When you could have had access to patient data or caused real damage?
Lol
MRIs use GPUs for image reconstruction. I can’t imagine why you would use rowhammer on a recon server. So the image will have more artifacts? When you could have had access to patient data or caused real damage?
Lol
Pin pitch means how tiny the physical pins in the connector can be spaced apart.
IR drop losses happen because a wire has resistance, it isn’t a perfect conductor. 28AWG wire has about 0.22ohm/m. Given a 2 meter cable, you might expect to see 0.44ohm one-way. Current is also travelling back, so the circuit “sees” another 0.44ohm. That’s a total of 0.88ohm
A wire will cause voltage drop following ohm’s law. V=I/*R. So for 1A of current, you will see 0.88V lost.
Say you’re trying to charge at 15W (5V 3A), your phone is only going to ‘see’ 2.36 volts, and 7.9W are wasted in the cable.
For a 100W device (20V, 5A), 4.4V are lost, also meaning 22W are wasted.
The concentration of them is rising exponentially, that’s the part that terrifies me.
It’s possible we just haven’t crossed a threshold yet.
And formula fed
They’re everywhere, i’m not sure that’s even physically possible.
Oh shit, AI is evolving by natural selection. There’s a feedback loop of how people interact and training the data.
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How much of the issue is the system vs the students?
When I was in school, I remember dealing with hours of homework on top of extracurriculars and eventually working a job.
My choices were do homework or sleep. Either way I lost. So I definitely used chegg so I could get sleep and not fail.
I think our expectations for kids are just… not realistic? And I think that fuels a lot of the resentment for school.
Homogeneity isn’t always good, sometimes you gotta clear the palate. Compromise would be to blend individual ingredients and put them next to each other