The Incredible Evolution of Computers
Branch Education
0:00 In this video we’re going to explore
0:02 the evolution of computers over the past 80 years.
0:06 We’ll start with massive mainframe computers,
0:08 move into early personal computers and gaming systems,
0:12 go through the turn of the millennium and into the age of smartphones,
0:17 wearable devices and graphics cards,
0:19 and finally end at the advent of AI and the future of computing.
0:24 In essence, this video will explore how, in a span of a few decades,
0:29 we moved from room sized mainframe computers
0:32 that weighed as much as an elephant,
0:35 cost millions of dollars and were used to calculate
0:38 rocket trajectories for NASA and the Apollo Missions,
0:41 to smartphones that are a fraction of the size,
0:44 cost and weight, are around 16 million times more computationally powerful,
0:49 and are used for a range of activities,
0:53 none of which are calculating rocket trajectories To make this video,
0:58 we built accurate 3D models of over 60 different computers,
1:03 gaming systems, smartphones, and integrated circuits.
1:06 In fact, we purchased and physically disassembled
1:09 a number of these computers and devices,
1:12 then desoldered all the chips from the motherboard, took hundreds of pictures,
1:17 and built accurate 3D models of the interior components.
1:21 But to be clear, we’re not just going to list the different
1:25 computers and devices and show you the 3D models along with their specs,
1:30 but rather we’ll focus on the underlying evolution of science
1:34 and engineering that enabled smaller and faster devices year after year,
1:39 essentially answering why and how computers evolved the way they have.
1:44 We have 80 years of computers, technology, science,
1:51 and engineering to cover, so let’s jump right in.
2:00 This video is sponsored by Brilliant.
2:03 Perhaps you’ve heard of Moore’s Law,
2:06 which was the prediction made in 1965 that the number
2:10 of transistors on a chip would double every two years.
2:13 Therefore, you may think that the evolution of computers
2:17 was simply the progression of smaller and smaller transistors starting
2:20 with a few thousand transistors in a microchip and progressing
2:25 until reaching tens of billions of transistors in a microchip.
2:28 While Moore’s Law was rather accurate and profoundly impactful,
2:32 focusing solely on it is both an oversimplification and misleading.
2:37 For example, the Super Nintendo Entertainment System
2:41 and Nintendo Switch were released 26 years apart, and in that timespan,
2:47 the number of transistors inside these two
2:50 gaming consoles increased by 80 thousand times.
2:54 However, when it comes to processing power, the Nintendo Switch is closer to 1
3:00 point 4 million times more computationally powerful,
3:03 and the underlying reason for the exponential increase in processing power is
3:08 a lot more complicated than just simply how many transistors it has.
3:13 Therefore, throughout this video we won’t
3:15 focus on Moore’s law or transistor count, but rather we’ll explore how
3:21 the specific underlying technological developments directly
3:24 resulted in the increase in processing power across the evolution of computers.
3:30 Specifically, we can divide this timeline into 8 distinct time periods
3:35 or ages with each age having a different set of technological advances.
3:40 For example, in the 1950s, during the first age,
3:44 computers were changing from using vacuum tubes to using transistors,
3:48 and then in the second age scientists and engineers
3:52 focused on how groups of transistors could be packaged together.
3:56 Essentially, the advancements made in one age are
3:59 entirely different from the advancements in the next age.
4:03 Additionally, exploring these eight ages will provide
4:06 insights into how some companies were technology
4:09 leaders in one age but then failed to predict or adapt to the next.
4:15 For example, IBM was the leading computer company in the 50s,
4:19 60s and 70s and at its peak controlled around 70% of the entire computer market.
4:26 However, in the subsequent age, during the 80s and 90s,
4:29 the key advancements to computers changed and as a result,
4:33 IBM lost its dominance and now it owns less than 1% of the computer market.
4:39 Or, consider Intel’s decline through the 2010s when it
4:43 was a leader in the third and fourth ages,
4:46 and then failed to adapt and then declined throughout the fifth and sixth.
4:51 You can now see similar trends with Nvidia’s meteoric growth due
4:55 to its focus on GPU architecture and its use in AI algorithms.
5:00 And, since history is the best guide to predicting the future,
5:04 at the end of this video,
5:06 we’ll explore what the future of computing might look like.
5:11 As this video will focus on computational power,
5:15 simply listing each computer’s processing capabilities might get
5:19 you lost in the scale and number of zeroes,
5:23 especially considering today’s AI data centers,
5:25 so instead of just a string of zeros,
5:28 we’re going to use Lego Bricks and equate one operation,
5:32 instruction or calculation per second to a single two-by-four Lego Brick.
5:38 For example, when using Lego Bricks to show
5:41 the computational power of the ENIAC from 1945,
5:45 its processing power of 5000 addition computations a second
5:49 builds a moderately sized cube of 5000 Lego bricks.
5:53 Whereas the SNES from 1991,
5:56 with its almost 1 point 8 million instructions a second,
6:01 creates a Lego cube that fills most of a room.
6:05 And then, jumping to 2007,
6:07 the first iPhone’s 800 million operations a second builds
6:11 a cube of Lego bricks the height of a two-story building,
6:15 and the current graphics cards with their teraflops
6:18 of calculations forms a Lego Cube that gets ridiculously large,
6:23 but we’re not there yet.
6:27 So let’s go back to the beginning of this timeline
6:30 and dive into the first age of computers,
6:33 which spans from 1945 to 1962, and is named Transistorization.
6:38 Here are the five example computers
6:41 that we’ll use and explore in further detail.
6:45 We’ll start with the ENIAC built in 1945.
6:49 It’s important to note that there were a number
6:52 of room-sized computers that were built before it,
6:54 such as the electromechanical computer used to crack the Enigma code,
6:58 but we won’t explore them as they’re special-purpose computers.
7:02 What made the ENIAC notable is
7:04 that it was the first programmable general-purpose computer.
7:08 The ENIAC was built 2 years before transistors were invented and therefore it
7:14 functioned using 17 thousand vacuum tubes
7:17 making it rather large and incredibly heavy.
7:21 The next example computer is the UNIVAC-1 which was
7:25 built 6 years later and still used vacuum tubes.
7:28 So the question is, 4 years after the invention of the transistor,
7:33 why is this computer still full of thousands of vacuum tubes?
7:37 Well, the issue was that the early designs for transistors were very unreliable,
7:43 sensitive to voltage spikes, and prone to random breaking.
7:47 Vacuum tubes, on the other hand,
7:49 had been invented almost 50 years earlier, were considerably more reliable,
7:53 and if one broke, then the inside would
7:56 become foggy or the glass would be visibly cracked,
8:00 making it easily identifiable.
8:01 In contrast, broken transistors were a lot harder to find
8:05 and, when you have a computer with almost 20 thousand vacuum tubes,
8:09 switching them to unreliable, highly sensitive transistors that, when broken,
8:14 were a headache to find, was not ideal.
8:18 Therefore, during the age of Transistorization the key
8:22 technological advancements were focused on building reliable transistors.
8:26 To do this scientists and engineers first
8:30 switched from using Germanium to Silicon-based transistors,
8:33 and second the physical design evolved from point
8:37 contact transistors into individually packaged junction transistors.
8:41 By the end of the 50s the RCA501, NEAC-2203,
8:46 and the IBM 7000 series, such as this 7090,
8:51 were some of the first publicly available commercial computers
8:54 to use transistors and were advertised as transistorized computers.
8:59 Throughout the next few years transistors evolved from relatively
9:03 delicate-looking structures to more reliable flat planar transistors.
9:08 Then in 1959 the MOSFET was invented,
9:11 which is a family of different types of transistors.
9:16 Next in 1963 the CMOS circuit which is built from 2
9:20 different types of MOSFETs was invented and by the mid-1980s,
9:24 it became the fundamental type and arrangement of transistors
9:27 used in every computer even to this day.
9:30 While the design of the transistor was, and still is, being evolved,
9:35 we decided to have the first age of computers end in 1962,
9:40 with the last computer to use vacuum tubes.
9:44 It’s important to briefly note that while
9:47 we’re focusing on the computers and processing power,
9:50 computer memory has also had its own evolutionary timeline.
9:54 Early methods for storing data included rather interesting techniques
9:58 such as using sound waves in tubes of mercury, called mercury delay lines,
10:04 or utilizing cathode ray tubes and the glow of phosphor.
10:09 Eventually small magnetic toroids with hand-woven copper wires between them
10:13 called magnetic core memory and large magnetic drums were used,
10:17 and then after that, spools of magnetic tape,
10:21 and then magnetic disks, DRAM, and so on.
10:25 The evolution of computer memory and storage is incredibly complicated,
10:29 so we’ll explore it in a separate video.
10:32 There are many more details we cut for time,
10:34 but here are the additional notes you can read if you’d like.
10:39 Before we move to the next age of computers,
10:43 it’s important to understand that scientific breakthroughs
10:46 and technological progress typically don’t happen by accident.
10:50 But rather, every step, whether it’s from vacuum tubes to transistors
10:55 or from Graphics Cards to AI Processors, was made by many hard-working people
11:00 who had a fundamental and deep understanding
11:03 of science and engineering and applied
11:05 that knowledge through critical thinking and problem-solving.
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12:56 So, let’s move on to the second age,
13:00 spanning from 1964 to 1977, which we’ve named “Packaging Transistors”.
13:08 Here are the example computers we’ll use to demonstrate
13:11 how computers evolved from room-sized mainframes to fridge-sized minicomputers,
13:16 and then to personal desktop computers, which were called microcomputers.
13:21 It’s funny to consider these rather large computers as mini and micro,
13:28 especially when compared to today’s smartphones and smartwatches, yet,
13:33 when matched up with room-sized mainframes, these names made sense.
13:38 Regardless, for most of this age, the IBM System 360 mainframes,
13:44 which were released in 1964 and discontinued in 1978,
13:50 were the most popular and successful family of computers.
13:54 These mainframes were so dominant that, from the late 60s to the early 70s,
14:00 around 3 out of every 4 computers made were IBM System 360 mainframes.
14:06 These computers were revolutionary for many reasons,
14:10 but one key concept they established was that the entire
14:15 family of 360 mainframes used a standardized computer architecture,
14:20 allowing the same software to run on any model.
14:24 Essentially, the IBM System 360 laid
14:27 the groundwork for device and software compatibility,
14:30 as well as the expectation that customers buy and upgrade
14:34 to newer models every few years with minimal disruption.
14:39 For example, using the System 360,
14:42 it was possible to upgrade the CPU, and to do so,
14:46 all you needed to do was swap out the CPU cabinet with the latest one,
14:51 each of which was technically called a frame or unit.
14:56 Alternatively, if you wanted to increase the computer’s
15:01 memory capacity from 256 kilobytes to 512 kilobytes,
15:05 which is like adding sticks of DRAM to a desktop computer,
15:09 you simply needed to install additional
15:11 cabinets containing arrays of magnetic core memory.
15:14 Due to the System 360’s impact on the computer industry,
15:18 it’s considered the Model T of computers and, as a result of its success,
15:24 IBM had a monopoly over the computer market,
15:28 eventually releasing a total of 14 standard
15:31 production models and selling over 33,000 mainframes,
15:35 with the cheapest ones costing more than a million dollars.
15:41 One question you may have is, considering that these computers were built using
15:47 transistors around the size of a sesame seed,
15:50 which are small compared to vacuum tubes,
15:52 then why were these computers still so big, taking up the area of a room?
15:59 To answer this, let’s explore the IBM System 360 Model 75,
16:05 which cost around 36 million dollars,
16:08 could execute a million instructions a second, and was used by NASA to calculate
16:16 rocket trajectories during the Apollo missions.
16:19 Let’s start with a quick tour of this computer and begin
16:23 at the system Control Panel with its hundreds of switches,
16:26 knobs and lights that were used to operate the computer,
16:30 read the data in the registers, quickly debug, and many other things.
16:36 Attached to the control panel is the CPU, along with the CPU memory.
16:42 Each memory cabinet can hold 256 Kilobytes of Magnetic Core
16:46 Memory with a blindingly fast point seven five microsecond access time.
16:52 If you needed more memory, you would install additional CPU memory cabinets,
16:58 each holding 2 megabytes with an 8-microsecond access time.
17:03 For long-term data storage,
17:05 this computer used cabinets containing reels of tape,
17:09 each reel holding 45 megabytes and using 2400 feet of magnetic tape.
17:16 Alternatively, for faster access times,
17:18 you could save data to large magnetic plates or even larger magnetic drums.
17:25 To load a program into the computer,
17:27 you had to write it onto thousands of punch cards
17:31 and then load them in via the punch card reader,
17:34 which could process anywhere between 200 and 1000 punch cards a minute.
17:39 Also, there was a printer, a keyboard, and a cathode-ray tube display.
17:45 All these modules were connected using thousands
17:48 of wires running through the raised floor.
17:52 We don’t have time to go through the inner workings of each of these cabinets,
17:57 but let’s take a look at the CPU and see
18:00 how it works and what makes it so large.
18:03 Inside this cabinet, we find rows and rows of circuit boards.
18:07 Upon examining one of them, we can see around two dozen square metal components,
18:13 known as SLT or Solid Logic Technology.
18:17 Inside each SLT package,
18:20 we find several individual sesame-seed-sized transistors,
18:24 along with diodes and resistors, all connected on a ceramic substrate.
18:30 This package was built by first printing wires and resistors on the ceramic,
18:35 and then mounting a separate set of discrete transistors and diodes on top.
18:40 These components are protected by a metal cover,
18:43 and the SLT package has thru-hole pins sticking out
18:47 the bottom to mount it to a printed circuit board.
18:51 One of these SLT components, for example, is an AND logic gate;
18:55 another is an OR gate; and here’s a set of inverters.
18:59 Also mounted to the board are capacitors,
19:02 inductors, and other electrical components.
19:04 By connecting all the SLT packages and other components,
19:08 this board, for example, was able to add two binary numbers.
19:14 CPUs are incredibly complicated with many different sections and therefore,
19:19 to build a complete CPU,
19:21 you needed an entire set of cabinets filled with circuit boards,
19:26 each covered with SLT components.
19:28 Therefore, to build a working mainframe computer you
19:32 needed a room of cabinets filled with computer hardware.
19:36 So let’s move on from mainframe computers.
19:41 You may be familiar with early desktop
19:44 computers and microchips that look like this.
19:47 Inside this microchip is an integrated circuit or IC,
19:51 so then, where does the IC fit into this timeline?
19:56 Well, you may think that SLT packages containing just
20:00 a few transistors each were the precursor to integrated circuits.
20:04 However, the first integrated circuit was actually invented in 1958,
20:10 which is six years before the first
20:14 System 360 mainframe and SLT packages were released.
20:18 Therefore, integrated circuits were an alternative method to manufacturing
20:23 and packaging transistors and were developed in parallel to SLT packages.
20:29 So let’s discuss Integrated Circuits or ICs.
20:33 To start, they’re called integrated circuits because multiple transistors,
20:39 resistors, capacitors, and diodes are built simultaneously using a complex set
20:44 of manufacturing steps and then connected together using layers of wires.
20:50 Despite ICs appearing relatively flat,
20:53 they’re actually complex, multilayer, 3-dimensional structures.
20:56 In contrast, discrete transistors have only a single transistor in either
21:02 a package or are found as multiple separate ones in an SLT.
21:07 In the early days of integrated circuits, between 1958 and 1965,
21:13 scientists and engineers were able to combine only a few transistors
21:17 into an IC in order to build the basic logic gates.
21:22 These chips had at most 10 transistors along with a few
21:26 other components and were categorized as small-scale integration or SSI.
21:31 They were smaller and lighter than the square SLT packages,
21:36 but also incredibly expensive, initially costing over 10,000 dollars each.
21:42 Therefore, early integrated circuits were only used in specialized applications,
21:48 such as the Apollo guidance computer.
21:51 By the mid to late 60s,
21:54 through substantial improvements in manufacturing techniques,
21:57 integrated circuits had progressed to medium-scale Integration or MSI,
22:02 which ranged from combining or integrating 10
22:07 to 500 transistors onto a single silicon substrate,
22:10 and they started to be more affordable
22:13 and find their way into commercial computers.
22:15 An example computer using a mix of SSI and MSI
22:20 circuits was the commercially successful PDP-8 minicomputer from DEC,
22:25 which could do 385,000 instructions a second,
22:30 and greatly expanded the accessibility to computers
22:33 with its smaller size and semi-reasonable price tag.
22:37 Other computers that used MSI chips were for example, the Xerox Alto from 1973,
22:44 which contained 4 separate 74181 chips, each consisting of 170 transistors,
22:52 which could do parts of simple calculations.
22:56 The next step was Large Scale Integration or LSI,
23:00 which ranged from integrating 500 to 20,000 transistors in a single chip.
23:07 In 1971, Intel released the 4004, which is widely regarded as the first
23:14 commercially available CPU packaged in an integrated circuit.
23:19 This chip contained 2,300 transistors, processed data in 4-bit chunks,
23:25 and could execute 92 thousand instructions per second.
23:29 While this was indeed the first CPU chip,
23:33 it was incredibly weak in terms of processing
23:36 power and due to its 4-bit calculations,
23:38 and therefore its main applications were
23:41 in things like simple calculators and cash registers.
23:45 By the end of 1974, two more CPUs, the Intel 8080 and Motorola 6800,
23:52 were released, and, while they powered some microcomputers,
23:56 the chips alone cost around twenty-five hundred dollars.
24:01 These high prices propelled the development of the MOS 6502,
24:06 which was released in 1975, cost only around 150 dollars,
24:11 contained 4528 transistors, and ran an 8-bit architecture.
24:17 Due to this chip’s affordability and decent processing
24:22 power at 4 hundred 40 thousand instructions per second,
24:26 it kicked off the age of personal computers with the 1977
24:31 release of the “trinity of personal computers” consisting of the Apple 2,
24:37 the Commodore PET, and the TRS-80, two of which used the MOS 6502.
24:44 The 6502’s architecture and low cost were so impactful
24:48 that it was used in dozens of computers and devices,
24:53 including the Atari and the NES, and many others.
24:57 Let’s move on to the next step in integrated circuits.
25:01 With further improvements in manufacturing,
25:03 Very Large-Scale Integrated Circuits or VLSI chips
25:07 containing 20 thousand or more transistors were released.
25:12 For example, the Intel 8086, introduced in 1978, is one of the first 16-bit
25:19 CPU chips and contained approximately 29,000 transistors,
25:23 but we’ll discuss the progression of these chips more in the next age.
25:30 We decided to end age 2 in 1977
25:33 as it’s considered the start of the mass-market personal computer,
25:37 but before we move on to the next age, let’s explore a critical question.
25:43 If IBM had a monopoly on mainframe computers throughout the 1960s and 70s,
25:49 why didn’t it stay on top and lead the development of integrated circuits?
25:55 Well, as we discussed, IBM established its market dominance with the System
26:01 360 using a significant investment in SLT packages.
26:05 At the time, IBM was vertically integrated and built entire factories
26:11 and production lines focused on mass-producing
26:14 cheap and reliable SLT components,
26:17 as well as the entire mainframe and every step in between.
26:21 In contrast, in the early 60s,
26:24 small-scale integrated circuits were incredibly expensive and only
26:28 used in niche applications like rocket guidance computers.
26:32 It’s important to note that IBM did develop
26:36 integrated circuits for memory storage and, in fact,
26:41 patented the first DRAM integrated circuit in 1968.
26:46 Additionally, following the SLT,
26:48 IBM developed and transitioned to MST or Monolithic
26:52 System Technology for the 370 family of mainframes,
26:56 which was essentially a small integrated
26:59 circuit packaged within an SLT form factor.
27:03 However, their delay in developing ICs
27:06 allowed companies like Fairchild Semiconductor, Texas Instruments,
27:10 and eventually Intel to build up a considerable lead in IC research,
27:17 development, and manufacturing.
27:18 Essentially, SLT made IBM the market leader, however,
27:23 at the critical transition point to Integrated Circuits,
27:26 it didn’t make sense for IBM to siphon money away
27:30 from the successful and established technologies and pour it into ICs.
27:35 One additional note is that between 1969 and 1982,
27:40 the US Government conducted anti-monopolistic investigations into IBM,
27:45 which likely inhibited IBM’s interest in using its market
27:49 dominance to be the frontrunner in the integrated circuit market.
27:53 On a separate note, in the 60s and 70s,
27:57 the potential of the personal computer market was unknown.
28:01 Many experts were familiar with large,
28:04 expensive mainframes and minicomputers used in businesses and universities
28:08 and therefore couldn’t foresee computers being scaled down
28:12 to the size of a desktop or the role
28:15 the personal computer would play in individual households.
28:19 In fact, in 1977, the CEO of DEC claimed that "There is
28:25 no reason for any individual to have a computer in his home." Furthermore,
28:31 despite the successful release of many popular personal
28:35 computers in the late 70s and early 80s,
28:39 it wasn’t until 1984 that the personal computer
28:42 market surpassed the mainframe market in terms of revenue.
28:46 There are two lessons to take away.
28:49 First, it’s impossible to know for certain which technology
28:53 will be the frontrunner from one age to the next.
28:56 And second, while it may seem like
28:59 the personal computer replaced the mainframe computer market,
29:02 it’s more accurate to say the personal computer
29:06 market simply had greater growth potential in subsequent years.
29:10 In contrast, the mainframe market’s expansion was in the 60s and 70s,
29:16 and stagnated in the 80’s, and declined after that.
29:20 A similar trend can be observed today.
29:22 The demand for AI data centers is rapidly growing,
29:26 but this doesn’t mean that AI data centers are taking over desktop computer,
29:32 laptop, and smartphone sales, but rather the market for these devices is
29:37 simply already mature and thus not growing as much.
29:41 There are many more details on the second age of computer evolution,
29:45 and here are additional notes that you can read through if you'd like.
29:50 Now that we’ve finished the age of Packaging Transistors,
29:54 let’s move on to the third age, spanning from 1975 to 2000.
29:59 You may think the third age is on Personal Computers,
30:04 but because we’re focusing on technological changes
30:07 and what drove the increase in processing power,
30:10 the third age is on increasing CPU clock frequency,
30:14 and we’ve named it The Frequency Race.
30:17 In this age, we’ll see how computers
30:19 go from a one-Megahertz clock frequency to one-Gigahertz,
30:23 yielding a speed-up of at least a thousand times more processing power.
30:27 But before we get there,
30:29 we want to mention that making these videos is incredibly complex,
30:34 and while we use some historical pictures,
30:37 we tried to fill this video with as many
30:41 intricate 3D models and details as possible.
30:44 Specifically, each 3D model with its interior components
30:48 takes hundreds of hours to build in Blender,
30:51 and therefore, all these models have taken
30:54 more than 3000 hours to build and animate.
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31:46 Finally, as you may notice, we’re near the end of this video.
31:50 The evolution of computers is incredibly complex,
31:53 so we’re planning to divide this video into 4 episodes.
31:58 This is the first episode and covers the period from 1945 to 1977,
32:05 encompassing the first two ages.
32:07 The second episode will explore the third and fourth ages,
32:12 spanning from 1975 to 2011, and called the Frequency Race, and Multicore CPUS.
32:18 The third episode will cover the fifth age with FinFets, Smartphones,
32:23 and System on a Chip or SoCs, and then the sixth age will be on Graphics Cards.
32:30 And then the final episode will explore age seven and AI processors,
32:36 or Tensor Processing Units,
32:38 and their use in AI Algorithms, and then, in the eighth age,
32:43 we’ll explore what the future of computers will look like.
32:47 Once we’ve released all these episodes,
32:50 we’ll combine them into a feature-length movie about the evolution of computers.
32:54 Stay tuned for the next episode, which, to be honest,
32:58 will probably take at least 3 or 4 months to make,
33:02 as we’re a small team, but we hope it’ll be worth the wait.
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