You guys do know the affordability of the chips you’re using to comment on this is a direct consequence of TSMC “efficiency”, right?
You guys do know the affordability of the chips you’re using to comment on this is a direct consequence of TSMC “efficiency”, right?
Mind you, the DFT calculation from the Griffin paper is not a proof of LK 99 being a superconductor in any way. What it showed is the (potential) formation of flat bands near the Fermi surface. Band dispersion is associated with the kinetic energy of the electrons, so materials with flat band (and therefore electrons with suppressed kinetic energy) at the Fermi surface are more susceptible to interaction effect (and strong interaction causes all sorts of nonintuitive quantum effects). I’m not a DFT expert in any sense, but from what I’ve heard, it is quite easy to “tune” your model to produce narrow (the limit of which being flat) bands from substitutions (e.g. the Cu substitution in this case) and such, which don’t necessarily lead to superconductivity.
So I’ll take the DFT papers (there are quite a few now) as saying, “hey you want some flat band? Here’s some. We’ve done our part. Now some other theorist, do your magic and conjure up some superconductivity”. It’s a cog in the full picture, if there is a full picture
Give me a way to physically shut off the microphone (like a camera shield on business laptops), then we will talk.
Strange topics had popped up in my Google feed after l spoke to someone about something I’ve never googled before
Very interesting. I wonder what happens if instead of gzip, a lossy compression is used… would mp3 beat jpg?
I agree with ya. I can hear it whenever I intentionally seek it out, even when it’s relatively loud out there. I tend to think of it as some baseline intensity (at some extremely high frequency/frequensies I’ve tried but yet to pin down) my brain perceives, that gets washed out more as external stimuli become stronger. This is partly what prompted me to speak about a reference level of intensity distribution over frequency (and therefore a power spectrum if you will) in the other comment thread. Normal brains have a reference level that adapts to the environmental average. Those of us with tinnitus have some nasty spikes at high frequensies. “Hearing silence”, I speculate, is more of a response to a changing reference level – some of the responses will be the brain compensating for the change and thereby inducing acoustic (?) illusions reported in this work. A tinnitus brain will respond to a receding reference level by focusing again on those nasty frequency spikes.
Having read the NYT article (with the PNAS paper still not available through a certain hub), I think a useful analytical framework would perhaps be to think of silence as a negative space. E.g., take some background noise (this could be the environmental noise averaged over some time scale) at certain overall intensity as “zero” (or reference level), then complete silence will have the same frequency content as that background but with negative intensity. From there one can start talking about various forms of “partial silence” as different spectral compositions of negative intensity. I’d even posit that some of the illusions they discovered would work in a similar fashion with positive intensity boost as well (e.g.two disjoint boosts vs one sustained boost). It is probably more about the frequency content than the intensity relative to the reference level.
In fact this goes all the way back to Hamilton when he invented quaternion, in which i,j,k are used as basis vectors (which are generalizations of the imaginary i). Later Gibbs dropped the scalar component and gave us the modern vector.
I mean, anyone with tinnitus will tell you you can definitely hear silence. People without tinnitus just hear a more subtle version.
You need to forget about the details in order to grasp the essence.