What do we do when silicon transistors can't get any smaller
500 giganiggawatt monster CPUs
>>100180809Sexooo
>>100180867Dude... she's 1.
>>100180901Excellent.
>>100180901it's ok, can still go smaller
>>100180901out of 10
Make them bigger
>>100180809graphene
>lust provoking image>irrelevant time wasting question
>>100180809I don't know but seeing that image right now, something on me can't get any bigger
>>100181035It'll take a really enormous amount of money to get any alternative up to the point where silicon is at now. Much more than the cost of building a modern fab.
>>100181216so have the government pay for it. what's another 40 trillion in debt?
We're at a point where it probably doesn't matter. Software efficiency is going to do loads more than ASIC performance increases.
>>100180809pile them up
>>100180809probably go bigger with a multi die setup like we see in current epyc cpus.
>>100181135>>lust provoking image>>>/b/
>>100180809light is the next step, but it's a longer way away than people want to believe. main advantage is you can with some certainty control the data value via indexing frequency values of the light. these wont really be full light transistors though, a lot of the chip will still be a wafer with some light bridge super components.
>>100180809That's when we start using either Silicon Carbide, Gallium Nitride or Graphine wafers for make semiconductors. Apparently processors made in Graphene have the potential to be at least 10 times faster. George Tech researchers made a functional one early this year. https://spectrum.ieee.org/graphene-semiconductor
>>100181380that isnt how a fairy would smoke a cigarette
Will modern fabs eventually be able to be upgraded for graphene semiconductors?
>>100180809https://www.youtube.com/watch?v=pkYA4rALqEE
>>100181539i don't see why not. the fundamental steps of making the chips would probably be the same. refining, melting, slicing, photochemical etching, and depositing more layers on top. i don't see why the same machines couldn't be repurposed for graphene, but of course there is extremely complex technical information here that none of us have access to like "u cant do heteroepitaxy on a graphene wafer with these machines because (x)"
>>100180809Once hardware gains plateau we will finally whip eunich software devs into making efficient code again. Their job will be on the line and I'm all here for it.
>>100181522I'm certain that graphene transister fraud guy actually wasn't a fraud but went to work for Area 51. They probably have computers millions of times faster than a modern PC by now.
>>100180901Out of 1
>>100180901Onahole size
>>100180901conceptualize the tightness
We use your penis
