The End of Moore’s Law?! (Shrinking The Transistor To 1nm)

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This video is the second in a multi-part series discussing computing. In this video, we’ll be discussing computing - more specifically, Moore’s Law with the exponential growth of technology due to our ability to pack more and more transistors into integrated circuits and the potential death of Moore’s Law!
00:00 Intro
[0:30-3:50] The Integrated Circuit - Starting off we'll look at, how the integrated circuit has shaped the world due to our ability to pack more and more transistors into them, more specifically, in their usage in computing in the form of microprocessors (CPUs) and other computation related hardware.
[3:50-7:11] Shrinking The Transistor - Following that we'll discuss, how the transistor will continue to shrink onwards from this year, 2017 and the latest innovations that can shrink them even further, such as FinFETs.
[7:11-10:44] The End of Moore's Law - To conclude we'll discuss, the potential end of Moore's Law once the transistor shrinks to 1nm and what comes after...
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Soundtrack ➤
♫ 00;00 "Jackson's Song" by Pink Slip
♫ 00;30 "Sun" by HOME
♫ 02;57 "If I'm Wrong" by HOME
♫ 06;07 "Resonance" by HOME
♫ 10;20 "Pyxis" by HOME
♫ 10;45 "June" by Aire Atlantica
Producer ➤ Ankur Bargotra
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[@OptimisticFuturology]

Want to learn more about the Technological Revolution? Watch our playlist here: kzbin.info/www/bejne/e3-6pKKNn999irM - ALSO - Become a KZbin member for many exclusive perks from exclusive posts, bonus content, shoutouts and more! subscribe.futurology.earthone.io/member - AND - Join our Discord server for much better community discussions! subscribe.futurology.earthone.io/discord

[@uurbannssoundss2751]

What's the theme song?

[@railfanningstuff8333]

there going to stack silicon CPU dies on top of each other just like HMB memory is

[@railfanningstuff8333]

Also as eh side note cosmic rays have been know to reap havoc on silicon chips with transistors smaller then 45nm creating currents in the electronic pathways that short out ships !

[@azza009]

I love learning about ICs and electronics specifically CPUs because they are the cutting edge. And I've pondered since 22nm what are we going to do when we get to 1nm great video, please SLOW DOWN YOUR VOICE.

[@mugendono23]

Aaron ball 1nm is impossible. Once you get to 4nm quantum tunnelling becomes a issue.

[@ozzyg82]

It’s like housing in a dense city area. When there’s no room left on the ground, you start building up with high rise...

[@justicewarrior9187]

Stupid! Just build bigger chips then! It's like buying more land in your analogy

[@d1oftwins]

@@justicewarrior9187 Problem is that that "more land" is more expansive than building skyscrapers.

[@d1oftwins]

@ Not sure if you didn't get my analogy, what I meant is that it is cheaper to build more layers and thus needing less area for one chip on a waver than using less layers and taking up more area on a waver. The greater the area of your chip the less chips you get out of a waver, which means they will be more expensive and your margins are dwindling.

[@ghost_ship_supreme]

That's kinda what threadripper is

[@zZrEtRiBuTiOnZz]

Yup. 3D chips are way past due.

[@erobwen]

I remember how everyone talked about the end of moores law 20 years ago.

[@cryingwater]

I guess we'll stop using a flat sheet as a place to store transistors but use tubes that can run liquid cooling through them

[@squamish4244]

How many more iterations do you think we could get if we wrote better software? (Or designed programs to write better software.)

[@painzrt7928]

But its for real now.

[@jeffwads]

There is an old Byte magazine cover blabbering that the limit was 250 Mhz....yeah.

[@23william90]

Little did he know 5nm ended up coming out in 2021

[@samevans515]

Reads the news - Intel is having trouble with their 10nm process. While AMD is already gearing up for a 7nm release in 2019. Poor boi Intel

[@shibnathmaji2675]

And it launched just yesterday.

[@grischu8277]

And this Video is one year old, sooooo... yea

[@MyNameIsPetch]

They're not really comparable, Intel's 14nm was equivalent to everyone else's 10nm

[@McKiwi2]

@@MyNameIsPetch That is true, but the 7nm TSMC node is slightly more dense than Intel's 10nm node. The last thing I've heard is that Intel is reducing the density to try and improve yields, but at the same time, news outlets have been stating that the node is basically dead. So idk?

[@ryuuseiboi950]

@@MyNameIsPetch They sacrifice multi-core power draw for single core performance. Now that AMD has released their 7nm chips everyone will see through Intel's shit chips.

[@afinafina]

How are you not insanely popular!? Proud early subscriber

[@miguelpereira9859]

Man I really admire all those engineers and researchers who come up with all this technology. 300IQ

[@deathbydeviceable]

No, not really. A tech junky knows as much of his profession as a drug dealer knows his but neither wouldn't understand each other's

[@miguelpereira9859]

@@deathbydeviceable What do you mean "not really". Are you saying I DON'T admire them? Lol

[@deathbydeviceable]

@@miguelpereira9859 just because a person can create tech doesn't make them 300iq. If you put those professionals in another environment they wouldn't know what to do. That's what I mean. Take elon musk as an example. Put him in Jeff bezos shoes and vise versa then watch both companies crumble

[@jessicalloyd2330]

@@miguelpereira9859 Lol this guy doesn't believe you actually admire them I guess

[@JV3Player]

​@@jessicalloyd2330 hahahaha

[@edwinmburu7278]

watching this 4 years later ibm announces a 2nm chip

[@nlrman]

Hmmm many companies can announce nano1 or even omstrom(tech beyond nano) but only 2 companies in the world that can make chips with nano7 and beyond, SS and TSMC. AT nano5 and competing for nano3. Samsung anniunced that they have nano3 with GAA feasible and will start producing q1 of 2022. TSMC looks last in GAA tech and will stick with finfett. My point is, they can announce all they want but wont be available until some companies are capable of nano3 tech.

[@lucianogutierrez7676]

2 years later we have AGI almost here..

[@adaywithoutconscious7407]

We here bro

[@siwexwot8994]

with worse specifications than its 5nm...

[@moonmanvic]

Why does this seem like a Cold Fusion Vid...🤔

[@ZeroRelevance]

moonman_Z Probably the voice and quality

[@LukusMaxamus]

*_C O L D F U S I O N T V_*

[@davidr3626]

Exactly!!!

[@mikimouse3001]

My thoughts the same 😱

[@SjoerdvdKraan]

Same concept, less quality

[@freeman2399]

To bad RAM prices haven't come down in accordance with moors law.

[@mariagabrielamorillozambra4258]

Ye,idk wh6 people dont want ram,q Why not even server owners,as i server owner and gamer.For .y .inecraft server i use corsair ripjawas ram,for all of my servers together,160 sticks.

[@garyr7027]

It has indeed come down, 12 years ago 512 mb of PC 133 cost me $139.00 dollars and that was the going rate. Now I can buy 16 gigs of DDR4 3200 for around $100.00 give or take a few bucks. You new to computers?

[@freeman2399]

@@garyr7027 Yes now it's cheap. Two years ago it wasn't.

[@garyr7027]

@@freeman2399 compared to 12 years ago, it still was. If the prices back then was still the same rate today per meg, 16 gigs would cost over $1100.00 dollars. At that rate, many would still be using a gig or less.

[@heberorozco182]

Lol ur an idiot...

[@palfers1]

Speed is OK for me but not for many others - so slow it down. Also, you should inflect more, else your flat, robotic tone (sorry) will repel people. Great job on the content! Subbed!

[@wu1ming9shi]

Yeah, i think the constant montonous tone is throwing me off a bit. It would be fine for a 5 minute long vid but not 10.

[@entiretwix1480]

This is a wholesome comment

[@b3at2]

Andrew Palfreyman no he sounds fine

[@shiskeyoffles]

I actually listened at x1.25 lol

[@HElSENBERG]

Andrew Palfreyman there is an option on KZbin to slow down the speed of a video. Btw i am not native in English but have no problems following the video

[@ghostl337]

I can understand him clearly, you guys need to overclock.

[@nickbuddy1787]

🤣😂😂😂🤣

[@marverickbin]

I'm not native speaker. I downclocked to. 75 speed and got everything.

[@littlerussianmax5831]

It is funny that french guy and japanese guy talks with strong accent and chinese guy talks with no accent at all.

[@fatmagamal3701]

i think its because of the hideous annoying music in the back ground

[@eduardovieira5292]

OK, For native speakers is easy... kkkk

[@jordanbennett6461]

This video prompted me to go and learn how transistors work and come back. Great video and holy cow my mind is blown. Very appreciative of the scientists amd engineers that have made this all possible

[@Entritarus]

6:52 Home - Resonance...

[@SuperMutantSomething]

I was waiting for the day somebody would use synthwave/vaporwave music to new technology. Love your video, sub'd!

[@OptimisticFuturology]

It just fits so perfectly!

[@dorgodorato]

This kind of presentation is the stuff we all dreaded doing in high school, and now KZbin is packed end to end with these kinds of videos with way more effort than could be expected.

[@dittocopys]

"bite-sized chunks of content" had to be the most comedic line in this video. do love the style, learned so much in what only felt like 10 mins.

[@eliubfj]

To those complaining about the fast narration, Adjust your setting to 0.25 playback, Goodbye

[@SineDeus]

lfe is to short to adjust settings

[@TheTimmy4745]

@@SineDeus life is too short to complain about trivial stuff. it would take longer to complain about the voice speed than it would to just change the speed.

[@SineDeus]

@@TheTimmy4745 did I complained about the video? Don't think so

[@camerica7400]

I just watched it at 1.5x because I realized 2x was too fast haha

[@probably_seohyun]

@@camerica7400 Just put it on 0.75x much better.

[@rahmanash9856]

Hands crossed and waiting for branches of computing other than classical type

[@OptimisticFuturology]

Getting there!! Just want to run down classical computing first as a prelude!

[@midnightowl2323]

Quantum computing exists. You can uncross those arms😂

[@ThumperJunkie]

Ignore what everyone is saying about talking to fast, this video was the perfect pace and you can always rewind/scrub the video if you missed something. To be honest this video was a perfect refresher on the topic and I greatly appreciated the work that went into it.

[@mitchellbuehler6058]

Fantastic video - very informative, very high quality, and very well edited. Subscribed and hope to see your channel grow!

[@OptimisticFuturology]

Thanks for watching!

[@andyy6481]

IBM just made the 2nm chip!

[@redtails]

Nvidia is cheating with Moore's law. Instead of relying on making node size smaller, they simply increase die surface area. Moore's law makes an assumption that each product is of similar production costs, but this assumption is unfair. If you plot for computing power per price unit, you'll notice that the last few data points on the Moore's law graph are all outliers

[@BenRay47]

Exactly

[@logiconabstractions6596]

@Akin Khoo I agree. In fact you can pretty much extrapolate (see what I did there?) Moore's law to pretty much any important metric about computer power & digital performance, as he showed in the video. And as he said at the end, it doesn't even really matter, ultimately, that the size of the chip is going down. As long as the computing power increases, even if it's from CPU processing optimization (better planning computations so there's less overhead, basically, and compiling them in a way that avoids multiple computation when possible), we're good. The letter of the law may be broken, but the spirit remains true. No cheating in that.

[@hyperhektor7733]

For the PC Market no one cares if the Chip is 1 inch or 5 inches big ;D only "smart"phone hipsters need small chips so they can carry their survailance device everywhere and look cool ;D

[@logiconabstractions6596]

@@hyperhektor7733 You seem half serious, but still. The density of computing power matters just as much a costs. You can see it as the number of operations you can perform per volume unit. Just as increasing computer density has made possible PC (which would never be possible with, say, the 70's density that could be achieved, regardless of price). Greater computing density enable applications unthinkable before. Of course price matter, otherwise there's not breadth to the market for computing power. I see price as breadth & density as depth, in a way...

[@hyperhektor7733]

@Francis Vachon i am on Board since Windows 3.11 and the x386 Cpu :D and i installed and since then every windows version and build every PC my self (the newest midprice-cpu which was aviable at the time). So i can say i have a kind of overview of the topic :). What i see is that the cpu-power is wasted by the programmers, since they started to use more and more less efficient programming languanges(for programms and operating systems). So the hardware becomes faster but the user experince stays the same since 20 years xD. We already are far beyond the point where performance per volume counts. I can buy a used xenon CPU for 7$ on ebay which has 4000 Passmark points which is insane. People these days have really no clue how powerfull cpus are , they think an i7 is just good enough for websurfing lol. BTW, the time where you can compare cpus by Ghz or cores or cache stopped When the first Intel-cpus with ratings came up. I found the most consistent and largest database is from passmark.com. They have very old cpus and the newest so i use this as comparison since 15 years for my cpus.

[@roax206]

last I checked the nm size of a processor doesn't actually have much relation to the size of the transistor or even the computing power anymore. It is mainly just used to give a sense of noticeable improvement for each new process, with processes from different manufacturers with different "sizes" often being comparable to each other.

[@andrewhenshaw4067]

I looked on youtube and found out that the 5 nm and 2nm chips actually are bigger than that but because of their design they are equal to the power of a theoretical 2nm chip The transistor is then marketed as a 2nm transistor even though they aren't actually that small Link to the video that explains it kzbin.info/www/bejne/fZWvg4Z8atyNpqc

[@aayushagarwal5638]

(On the funny side) Are you a robot in human form to have so much information sequencetially bombarded over us to short-circuit our brains to pieces? (On a serious note) This is just mind-blowing information with never-seen-presentation-style which keeps going on and on and there is no chance of skipping any part of the video. Hats-off to you for all the hardwork.

[@coringavinte5105]

vaporwave is strong with this one

[@harshbarj]

The death of Moore’s Law? I have been hearing this for 20+ years. It's unlikely to happen anytime soon. Even when we hit the limit for transistor size we likely will just start layering them as we do with flash.

[@ericksanchez8760]

dont froget graphene processors

[@mikimouse3001]

How about heat dissipation?

[@andrewscott7728]

It's already happened. Intel and Nvidia have both released flagship cpu/gpus that aren't really faster than their last year counterparts for the first time.

[@FrostEclipse21]

Andrew Scott That's because of greed.

[@eriksvensson2098]

@@FrostEclipse21 or so we'd like to think atleast

[@felixcalderon7258]

This was a really well made video. I loved it!!

[@ryanbigguy]

An updated version of this video would be really cool

[@luker.6967]

While things may stall at ~3nm, cost of production will be improved, effectively further increasing performance.

[@David_Cerkez]

Intel is releasing 10 nm cpu in 2018 😂😂😂

[@dajces94]

Nice one xD

[@sergiosierra6849]

yeah lol'd at that

[@macrett]

14nm* also weird way to spell Shintel

[@shiffterCL]

@@macrett 7nm coming from amd soon.

[@Ninja-iq2xt]

amd releasing 7nm soon, forget intel.

[@ZeeJayStudio]

Beautifully Explained.

[@garrytalaroc]

This video is top notch. Did a lot of research and analysis before uploading it. Thank you. Great video.

[@yusufdomun303]

we're now at 2nm

[@klklkl427586]

This is a bit misleading, transistors in today's 10nm process are a lot bigger than 10nm and their smallest features are still bigger than 10nm.

[@hihtitmamnan]

that's true. too bad people don't know that. he made tons of mistakes in the video because of that. 7 nm is actually something between 20-50 nm as far as i remember.

[@Inertia888]

Where did they come up with 10nm then? If the transistors are (twice?) that size, than what exactly IS 10nm? Is it just a made up number? A goal? If 10nm isn't 10nm then what's the point of even using a measurement? 😟 Please tell me that something in that chip is 10nm.

[@hihtitmamnan]

@@Inertia888 nothing is 10 nm there, sorry...

[@Inertia888]

@@hihtitmamnanThat is a real bummer. It's a Big Fat Lie. How can I trust anything they claim?

[@hihtitmamnan]

@@Inertia888 for example Intel's 10 nm process is equal in size to AMD's 7 nm. It's a lie, but the truth is that each process is getting better and I think that matters the most

[@noumankhan6762]

Awesome bro, im so proud to be your early subscriber before you go insanely popular!

[@MeyerBlignaut]

Subscribed. Keep up with the good content! Thanks!

[@topdog6843]

Amd 7nm gpu

[@Beos_Valrah]

_Oh yeah yeah_

[@4touchdowns1game29]

This isn't just happening with computers look at tons of other things. Compare a motocross bike from 1996 to 1986 huge difference. Now compare a 2006 to a 2016 not nearly as big of a difference. Same thing with cars etc. Have we hit a wall in an innovation sense?

[@hihtitmamnan]

electrical cars are entering the normal market. we need to change silicon to something better. graphene seems to have many problems nowadays.

[@Inertia888]

I would like to see a bigger focus on efficiency, and it seems like that might be where we are headed.

[@4touchdowns1game29]

I feel the next big innovation will be based in understanding how to bridge the gap of electrical signals between machine and human. If we could understand better the electrical signals our brain receives regarding simple things like physical sensation you could theoretically mimic real life sensations while in VR.

[@maegodragon]

Great Music, Great Graphics and Clear Fast Explanation!

[@AxemanMessiah]

Here I am with a 5nm iPad in 2020. In just 3 years since this post it went from 10nm to 5nm!

[@lilpandaftw]

Some constructive advice: slow down, and have some more inflexibility in your voice, it’s a little monotone.

[@evanwatling3897]

lilpandaftw No. his speed is fine

[@lilpandaftw]

@@evanwatling3897 Look at the comments. A lot of people don't agree with you.

[@evanwatling3897]

lilpandaftw That doesn’t mean that I’m wrong.

[@blib3786]

Sentient2x It kinda does though.

[@evanwatling3897]

Zane Just because there’s a comment section full of flat earthers doesn’t mean that people disagreeing with them are incorrect.

[@skoojha5216]

What other aspects of computing should be considered before we say Moore's law may be dead by mid 2020's.

[@GuillaumeVerdonA]

Dude. Awesome video.

[@grahmwaddle7348]

Great content I learned a lot keep it up. 👌

[@masaratech]

watch in 0.75x speed

[@codeninja1832]

John Vatic lmao, you're right.

[@EnjoyingEnjoyer]

I tought he was speaking way too slowly :/

[@tehpwnerer6821]

first thing i tried. audio is "chopped" at 0.75... speedup works fine, slowdown not

[@jacobnunya808]

I was watching at 2.0x. IT'S OKAY THOUGH!

[@jacobnunya808]

at that speed it sounds like he is telling a bedtime story.

[@Yoshi-wx8sx]

"Snapdragon 850 has 10nm transistors" Snapdragon 888: laughs in 5nm

[@randomsubject4537]

I love the video, your voice is pretty nice and the speed you narrate is perfect.

[@zone6ea404]

THANK YOUUUUU For listing the song names in the description 👌🏾

[@sweetyd]

Whoa! Slow down turbo, you talk a bit fast and robotic! Otherwise, great video!

[@illuxion]

*S Y N T H W A V E*

[@sachinmajotra9665]

I know right

[@Bluedragon2513]

It's Home - Resonance

[@mentalplayground]

Some pause between sentences would be a massive improvement. Very interesting information F for delivery.

[@idfilmspro]

EPIC!!! Subscribed!!!

just bought a phone with a 4nm chip : D

[@marnuvanniekerk467]

awesome channel but you talk too fast bro

[@mik310s]

Great video dude, this is the first Ive heard off nano sheets

[@logiconabstractions6596]

Solid video. All the while I was building an argument about Moore's law as the narrow definition we know coming to an end, but the overall trend in increasing in computing power holding true for likely much longer. For the reasons you said, essentially. When starting from transitors, which were fairly big, the low-hanging fruit was downsizing it. Once we had integrated chips, the low-hanging fruit was still downsizing because they were still huge and because those remained in effect a "first draft" - the concept was working but far from efficient and optimized space-wise. That means we really haven't touched in comparison things like 3d stacking of chips, instructions compilations optimizations & so on. Hopefully that buys us a few more years/decades of Moore's law until we can figure some sort of commercially usable quantum computer. Then we can leap again. Even if such a computer never gets to the smartphone-level of tech and remains confined to specialized, centralized data center, they would still provide huge computer power that can be distributed through networks.

[@JohnnyBGoode-tt7yv]

And all for what purpose - so we can watch more movies on our talking fridges! Will KZbin videos play any faster? All this technology for the sake of more technology is useless if it does not make any real advances in the quality of life as we know it. Does the world really need an All-seeing, All-knowing Cloud? Do we really need better video War games? Will real wars and conflicts over limited resources end? What happens to the Military Industrial Complex that runs the world - do those $Trillions get returned to the common-good? Will the AI tell us who really did 911 and how?

[@logiconabstractions6596]

@@JohnnyBGoode-tt7yv Yeah but in a sense you are talking about the by-products. Parallele to those by products, our ability to simulate a lot more things did lead to advances in medecine and other things. More will follow. It does, as well, improve life I would argue.

[@call_me_anny]

you do know amd is on 7nm right

[@Armand0008]

That is not the limit though. The limit is closer to 3-4nm. Also, using a combination of materials might push that limit even further.

[@RawLu.]

Should do a video on how AMD is Destroying Intel? And despite AMD achieving 7NM B4 intel!?! You still only show Intel's Grossly Overpriced Crap in your video?... LOL!...

[@sav22rem22]

RawLu You realize you copy and pasted this onto someone with the same opinion as you? Complete and utter moron

[@kyles5751]

@@sav22rem22 He put it on at least 4 others too. People are retarded.

[@Feyzei]

5nm is here now

[@not_aeo]

Brain Food Spotify Playlist playing the whole video. Good stuff.

[@strangelyerect3047]

Dude, this video is awesome!

[@simonmayrand5584]

please slow down a bit, great video though.

[@jordanmoorman5024]

Simon Mayrand you can slow down the audio on youtube, or speed it up

[@simonmayrand5584]

Jordan Moorman thank you good trick😀

[@ab7988]

Set the speed at 0,75

[@mrboleus8240]

What if hardwade limit is at 99% but software optimization is at stone age with 0.000000001%.... We don't need hardware shrinkage, more likely to do software magic...

[@gaiazoulay9]

MR BOLEUS for example apples phones are silky smooth with 2gb of ram

[@mrboleus8240]

@@gaiazoulay9 Bullseye!!!

[@carholic-sz3qv]

@@gaiazoulay9 no one cares there are applications that needs superpowerfull chips for super fast calculations

[@TuskForce]

@Mikasa Imagine what kinda experience we'd have if every line of code was optimized ;)

[@wichitawwojak3786]

@@carholic-sz3qv The only reason it needs a superpowerful chip is because the code sucks

[@hakf8]

Had to watch it on vapor wave speed, music also gets better this way, everything is more chill

[@powdermcdust8335]

This channel is gold....

[@joelvercitte2892]

10:33 corona virus first appear;

[@susmittayade4643]

😂😂

[@Tadesan]

Moore’s law isn’t a law. It was an interesting idea. The fact that it has had so much influence on this technology is completely artificial. It’s impossible to say where the industry might be had Gordon Moore not made what is essentially an economic guess.

[@ChadLuciano]

Great video, thanks .

[@panoply13]

Great explanation! Great job!

[@breadifies2800]

I feel drastically smarter now... (+ 1 sub)

[@daisyduck8593]

One atom is about 0,3 nm and they say 2 - 3 nm is the limit for transistors...

[@daisyduck8593]

On wikipedia is writen humans have build a 0,4 nm working transistor.... But ok I think for microprocess chips maybe 2 - 3 is the limit...

[@Rams912]

At least on silicon ;)

[@daisyduck8593]

Microchips in our smartphones are 12 nm. For records in 8K video they will need to be 4x more powerfull, so they need to be in 3 nm !

[@daisyduck8593]

@Hernando Malinche I know :) Its the first mass production device with a 7 nm chip. My note 8 can 4k video recording with I would say a 14 nm chip.

[@daisyduck8593]

It gets very hot. If you have more transistors you can reduce frequency or operation times, and this reduce heat... No ?

[@Seishin_]

Really interesting stuff, Great video presentation too

[@tamer27antepli]

Was gonna switch to other video, nope, stayed here for HOME

[@ozdemirsalik]

Multiple layers on a single chip is the answer.

[@ozdemirsalik]

Walther Penne Well, maybe a different material can solve the heating problem. I have heard that the graphene is pretty good at this.

[@ozdemirsalik]

Tommy Hammernots I know, but I meant more layers, and probably with different materials.

[@ozdemirsalik]

kzbin.info/www/bejne/i4ayXplmoK6ajLc

[@williamforbes6919]

Walther Penne I don't think you have bothered to check the current state of technology. But we already do stacked die CPUs and memory. As long as the wafers are sufficiently thin. You can just back down the frequency and voltage till you hit the peak of the efficiency curve. Cooling is a problem, but it isn't "the" problem. It has the same issues as other large die solutions, more surface area means more percentage chance that there is an error, with the added bonus of damage during the stacking and soldering the TSVs. Stacked dies will be popular outside of embedded processors not long after we have more reliable lithography and better testing equipment.

[@kwisclubta7175]

@Walther Penne So what can be done to speed up the process of turning the heat in your processor into Hot Air Dude? And what happens to Hot Air Dude after his transformation? Does he fly out of your PC on the wings of a stork? I am fascinated to learn more about this Hot Air Dude.

[@WiningSwag]

I believe it will never end, the evidence being the universe itself will always be infinite.

[@OptimisticFuturology]

You may be right! There are some laws of physics limits we'll be approaching soon, however, there are also many alternatives the computing industry is beginning to shift towards. I'll be covering these in upcoming videos :) Thanks for watching!

[@amit4rou]

Singularity Prosperity waiting for those videos as an early suber

[@jayesper4390]

ZeN The universe isn't infinite, I think that's why we all die, even the universe itself. Just imagine if there was one though!

[@josephmoore4764]

Infinitely large maybe, not small though. Atomic theory is pretty well founded, and after that size you run into the fundamental information density of the uncertainly principle

[@NorthGermanic]

Joseph Moore Uncertainty.

[@frankmathews1358]

Thank you for the free education. We love you.

[@Princearom1]

Moore's law is not ending. We've just managed to push it further back. Eventually, maybe a decade from now this new generation of transistors will hit the same bump again. Unless we develop another ingenious way to do things again. Props to the people behind this development tho.

[@WinArmyOfficial]

production costs go down , market prices go up! thats how you know you are enslaved!

[@Demon09-_-]

but the price to research and figure out new tech does not go down. them figuring out and finding how to make stuff smaller and smaller but keep the same performance is not suddenly cheap

[@W1ldSm1le]

In terms of design the low hanging fruit is gone, die shrinks represent more and more man hours, new tools and techniques. The material costs go down but the rnd budgets swell more and more.

[@BLACKTR00PER]

u can‘t say the production costs go down. I work at Infineon, one the biggest semiconductor company. In our Production halls there are maschines which cost over 1 million usd/euro. And u have to sell them und buy new ones every 24 months.. Just look at the Money that Siemens earns and thennat the money which Infineon earns. There are huge differents cause Infineon has a lot of production costs in there maschines

[@FRAMEDSKATEKREW69]

Hey stupid ever heard of AMD?

[@jhinthevirtuoso4886]

perfect example of a dumb human being

[@NorthGermanic]

Simply amazing info, video and narrating. No, don't slow down your speech. It's perfect ! Short, concise and straight to the point, as it should be. Other channels should learn from you.

[@JorgetePanete]

AJ81 Number 15: Burger King Foot Lettuce...

[@rocket6173]

Here’s a quick thought. Just know I haven’t thought about any of this and as I write this I’m thinking “actually this is a shit idea because x y and z but what if we were to switch to analog in terms of input and here’s what I mean: a neurone works by these little gates for the cell for sodium and they open as a (even more) positive charge comes through like a chain reaction once one opens it triggers the opening of the sodium channel next to it. How it triggers the opening is simple, an impulse raises the charge of the local area past a threshold which indices the gate open to let sodium in (sodium raises the charge). In computers this could mean that the electrons could leak and as long as there is only a small current an output would only be 0 until the gate is opened and even more electrons would pass through and therefore the current would increase and therefore would be detected as a 1. I’m sorry if this is poorly explained and after reading this I’m thinking well how would it know sort of thing but I’m assuming this train of thought is where sci-fi (but plausible) biomechanical cyborg brains are made.

[@Pierluigi996]

good job suscribed !

[@nick23358]

10:30 coronavirus in 2017

[@dignes3446]

This video was sponsored by Illuminati.

[@nick23358]

💯💯

[@TheZenytram]

did you know virus existed before covid right.

[@nick23358]

@@TheZenytram yes🤡

[@cindercinnamon2204]

Great video. I understood perfectly I don't know if these snails got it though ;)

[@Gabe-ch2ol]

r/iamverysmart

[@MyNameIsPetch]

It's comprehensible just not an enjoyable listen

[@N3G4T3]

Yeah, us damn snails. Can't even get a simple video.

[@TheBanjoShowOfficial]

r/iamverysmart

[@EagleLogic]

Awesome video!! One of the coolest videos I've ever seen! Very informative! You talk at a fine speed. People are just bitching and moaning.

[@gkarjala]

I work in the Electro polymer bziness, so it's good to learn what our customers are up to. Thx.

[@aaronmicalowe]

Quantum computers will continue the trend even if there's a delay...

[@marcusm5127]

No they will double even faster but with bigger jumps and longer time between. Steeper curve fewer points on it.

[@aaronmicalowe]

@@marcusm5127 a true quantum computer would but they are hampered because they still need to interface with the old technology - electronics. A true quantum computer doesn't run off electricity. For example, current quantum chips can be placed onto a motherboard that runs off electricity. The quanta to electric conversion introduces inefficiencies and delays. As we rely less and less on electrical computers we'll be able to do more.

[@saltyowl3229]

>intel releasing 10nm in 2018

[@RawLu.]

Should do a video on how AMD is Destroying Intel? And despite AMD achieving 7NM B4 intel!?! You still only show Intel's Grossly Overpriced Crap in your video?... LOL!...

[@ememvladislav7521]

@@RawLu. intel make their own die, amd and nvidia dont

[@maximusperez6205]

very good video man, keep it up!

[@TauCu]

Love it!

[@gl7011]

You talk so fast, It seems like a computer simulated voice over. Humanize the information more. Like what's the ultimate goal here? Why the need to go to plank size? Give a useful example of something that could be made at plank size that currently can't be made at 7 nanometers. Why are 5 nanometers a useful goal? How will things change when that breakthrough is achieved?

[@alexking1129]

Did you watch the video? He it will let you fit more transistors in a chip, making it more efficient, generate less heat, etc.

[@gl7011]

alt f4 I understand that, but why isn't the current standard good enough? Again, give an example of something they want to build that they are unable to build currently. Or is it just about speed? Why is 7 nanometers too slow for a new application.

[@qtrg5794]

@@gl7011 i know this is a late reply but here goes: think 50 years back. you couldve asked that same question, and no one would have been able to tell you that we need more powerful processors to run fluid dynamics simulations, finite element calculations for engineering, and the amazing CG effects we can see in cinemas today; simply because they couldnt even imagine it. even if just one step forward doesnt immediately bring about huge changes to daily life, looking back after a few decades shows just how far weve come by taking one step at a time.

[@sentry9834]

@@qtrg5794 Thanks for that, I'm much more informed now than I was just 6 months ago when I posted that question. Since then more and more information about the dawn of artificial intelligence and it's potential impact on life as we know it has been written. I'm sure the area if AI will greatly benefit from these New breakthroughs. Computers will be able to perform in ways that mimic if not surpass the human brain. We live in very interesting times.

[@735Secure]

Slow down! You're going too fast even people with multiple EE and CE degrees. If your intention is to educate and inform slow down. If your intention is to sound cool, then just show some pretty videos and speak fast!

[@metacube9913]

I'm a random 17 yo dude, and I still understand what he's saying, I don't really see where's your problem.

[@LukusMaxamus]

Meta Cube i think he's trying to complain about an obvious flaw with the video, while attempting to passively flex lol

[@michaelwhittaker44]

What about the types of chips we could use to make this better ie. Bio chips.

[@OptimisticFuturology]

Stay tuned for upcoming videos discussing classical computing alternatives :) Thanks for watching!

[@ashjr59]

Very enjoyable video. Subbed

[@OptimisticFuturology]

Thanks for watching!

[@Alecxace]

Love the content!

[@ravikantin]

Thanks for making such a informative video, can you please decrease the bass level. bass is high in voice.

[@MrDannidy]

WOW what an upload expansive knowledge-base a with a sound track.

[@KannibalKanadian]

Only problem I saw is your chosen scaling for the y axis on the increase of transistors over time graph doesn't show the growth as well since the top part of the graph would work exponentially The distance from 1 to 10 is the same as 1,000,000 to 10,000,000

[@ragnarokofborg]

Could you please add a link to the first part of the video?

[@TelmoMachadoSistemas]

Where can you get the engineering plant of the old micro chip? that is available to anyone who wants to learn how to make a micro chip? is there any company that has already made the plant available?

[@JoeRichardRules]

Whoever fixed leakage from quantum tunneling deserve the Nobel Peace Prize!!

[@metacube9913]

You deserve way more subs/views tbh.