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The History of the Graphical User Interface -- 1945 to 1980
A visual, historical tour of the early years of computer GUI's... starting in 1945.
August 21, 2023
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The 1980s and 1990s were an amazing time in computer history… with so many well known stories of computer GUI’s that have become instantly recognizable.

The Macintosh. Windows. So many others.

But how did we get here? What were things like before the 1980s? How did the graphical user interfaces of computers get their start?

For that… we need to go back to the end of World War II. When songs like "Sentimental Journey" ruled the radio.

1945

In 1945, Vannevar Bush (the first Director of the USA’s Office of Scientific Research and Development during World War II) wrote an article, published in The Atlantic, entitled “As We May Think”.

This article turns out to be one of the most critical works in the history of computing and it describes a new machine… which Bush calls the “Memex”. Essentially… what we now call the Personal Computer.

“It consists of a desk, and while it can presumably be operated from a distance, it is primarily the piece of furniture at which he works. On the top are slanting translucent screens, on which material can be projected for convenient reading. There is a keyboard, and sets of buttons and levers. Otherwise it looks like an ordinary desk.”

Bush also describes ways of storing, retrieving, and interacting with information within the “Memex”. What he describes is the precursor to things like Hypertext, structured file systems, wide area networks (and the Internet) and… Graphical User Interfaces.

I can’t recommend reading this essay strongly enough. Vannevar Bush was absolutely brilliant.

1963

Flash forward to 1963. A man named Ivan Sutherland, who was working on his PhD in Electrical Engineering & Computer Science, was inspired by Bush’s Memex to build a highly graphical computer system.

Not a hypothetical one. Not a concept. Something real.

He built the software on Lincoln TX-2 — which had a whopping 64K 36-bit words of memory, absolutely mammoth for the time. This massive amount of memory was going to be necessary for the ambitious graphical plan that Sutherland had in mind.

Fun side note: The Lincoln TX-2 was also the computer where the first simulation of packet switching networks was run by Leonard Kleinrock. Like using the Internet? Thank Leonard and the Lincoln TX-2.

What Sutherland created was something truly remarkable.

A system where the user could work, with a lightpen, on a graphical display with immediate feedback. Vector graphics. Flowcharting. 3D Modelling. Object oriented design.

If you have never seen this demo before, it is an absolute must watch. As you’re watching, remember that this was from 1963. And nothing like this had ever been done before.

 
So many moments in this demo absolutely blow me away. Around the 11 minute mark, he demonstrates zooming in on a vector graphics document. Way, way in. Modifying a vector object, then zooming out again.
 
In 1963. With 64k of 36-bit words to work with. Simply astounding.
 

1968

During the 1960s, Douglas Engelbart was working on a computing system of his own, funded by the US Air Force, NASA, and ARPA. His work was heavily influenced by both Bush’s “As We May Think” essay, and by Sutherland’s Sketchpad. He built on both of them heavily to create many of the User Interface concepts we know today.

In order to accomplish his goals, in 1968, Engelbart’s development efforts settled on the SDS 940. Powered by a 24-bit CPU (yeah, you read that right), 64 kilowords of 24bit memory and (get this) 4.5 MB of Swap. Oh! And 96 MB of storage.

In the ‘60s! The SDS 940 was an absolute beast of a machine!

Using this machine, Engelbart’s team developed what they called the “oN-Line System” or simply “NLS”.

More fun trivia time: Why was the “oN-Line Sytem” called “NLS” instead of “OLS”? You see, one of the early machines in use (prior to the SDS 940) simply wasn’t beefy enough to handle more than one user. So, for a time, the system was actually two related systems… the “Off-Line Text System” (which they abbreviated to “FLTS”) and the “On-Line Text System” (NLTS). Those just seemed like the best acronyms to them. Eventually the system added graphical capabilities (read: not just text). So they dropped the “Text”… and NLTS became NLS.

In December of 1968, Engelbart gave a 90 minute demonstration of the NLS that would come to be known as “The Mother of All Demos”.

 
The Mouse (a three button one, no less). Word processing. File revision control. Windows. Hypertext. The works.

If you haven’t seen this (or seen it lately), it is highly recommended.

Remember that this is all happening in 1968. 14 years before the release of the Commodore 64.

1969

Remember that amazing SDS 940? The computer behind “The Mother of All Demos”?

Well, Xerox bought Scientific Data Systems in 1969. And, with it, the SDS 940.

Scientific Data Systems was renamed Xerox Data Systems.

Remember this for later.

1972

While all of this was going on, during the 1960s, a team at the University of Illinois was building and refining PLATO - Programmed Logic for Automatic Teaching Operations. A computer system for teaching.

Over time new versions of PLATO were rolled out with increasingly advanced features. And, by 1972, PLATO IV had some pretty darned impressive ones.

Bitmapped graphics. A touch screen (in a 16x16 grid… so not exactly super precise… but still impressive). Digital audio stored to a hard drive. Voice and music synthesizers. Along with drawing software and, I kid you not, emojis. Yeah. The first emojis were created in 1972 on the PLATO IV.

The Plato IV - Image courtesy of the University of Illinois

Remember how Xerox had purchased the company that made the SDS 940? Well, researchers from Xerox Palo Alto Research Center (Xerox PARC) were given a detailed tour of PLATO IV in 1972.

And they took notes.

A gentleman by the name of Butler Lampson — who, as it would happen, was instrumental in the development of the Berkeley Time Sharing System for the SDS 940 — was one of the founding members, and a principal scientist, of Xerox PARC.

In December of 1972, Lampson wrote a memo to Xerox Corporate to request funds to build “a substantial number (10 - 30)" of Alto workstation computers.

Inspiration around the Alto came from many places. Including from the work of Engelbart on the SDS 940 (the mouse, windows, and more) and from PLATO IV.

1973

And now we arrive to a point in history that is a bit more often discussed.

In 1973, Xerox PARC unveils the Alto. A computer with a mouse. Movable windows. A “desktop” (with folders and icons). WYSIWYG document layout. Bitmap and vector graphics editing. Object Oriented programming (in Smalltalk).

This system had it all.

It took many of the concepts that came before… from Memex to Sketchpad to oN-Line System to PLATO IV… and refined. Combined it all together, added some innovations of their own, and polished it into a complete system ready for use.

For the first time, we had a graphical user interface that was more than a demo. More than a proof of concept.

The Smalltalk environment on the Alto. Image courtesy of the Computer History Museum.

As ground-breaking, and truly remarkable as the Alto was… only about 2,000 were ever made. And, for several years, the idea of a mass market Personal Computer with a graphical User Interface proved elusive.

1979

First launched in 1979, but not shipped until 1980, the PERQ workstation represented one of the first post-Alto attempts at a commercial, graphical user interface workstation PC.

The PERQ I workstation. Image courtesy of the Computer History Museum.

These were certainly not cheap systems. As you can see from this PERQ 1979 pricing list:

But it certainly came with a lot of features. This was a heck of a system!

The primary operating system was single-tasking, graphical, and heavily centered around the Pascal programming language. (Which… is a sentence that could also be used to exactly describe both the Apple Lisa and Apple Macintosh that would appear a few years later.)

Unfortunately the PERQ is mostly lost to time and seldom referenced nowadays. The final revision (the PERQ 2) launched in 1983, with the company being purchased… and the new parent company scrapping the in-development PERQ 3 by 1985.

A text editor from a PERQ workstation.

Which… brings us to the end of the 1970s.

Around this time, Steve Jobs took a tour of Xerox PARC and left with a great many ideas.

And, within the next 5 to 6 years, multiple companies (including Apple, Microsoft, Visi Corp, and Commodore… just to name a few) would release graphical user interfaces to run on their operating systems and personal computers.

And so much of it stems from 1945… and the Memex.

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Yes, yes, yes: cp, copy, midnight commander, whatever. But I'm curious; if you're using a GUI file manager...

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Editor of OSNews calls for the murder of a Conservative, Jewish Tech Journalist
Leftist Extremist OSNews says Lunduke is "Nazi" who must "die".

The Editor of OSNews.com has declared that I, Lunduke, am a member of the Nazi party -- and encourages others to murder me.

I repeat: A Tech Journalist has stated -- as a matter of fact -- that a proud Jewish man is a Nazi that must be killed.

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Source: Mastodon

 

What was the "Nazi infestation" he speaks of?  He includes a screenshot of The Lunduke Journal account to make it clear who he was refering to.

While this is already absolutely insane (no sane person would call a proud Jewish man a member of the Nazi party)... it gets far, far worse.

A few hours later, the OSNews.com Editor followed up with the following statement:

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No quarter for nazis. The only good nazi is a dead nazi."

 

Source: Mastodon

 

"No quarter for nazis. The only good nazi is a dead nazi."

Am I a Nazi?  Obviously not.  But, that Tech Journalist says that I am a Nazi.  And I must be killed.

Which means, according to the Editor of OSNews, "The only good [Lunduke] is a dead [Lunduke]."

Is it libel?  Without question.  Is this a clear threat of violence?  Absolutely.

He also appears to be stating that anyone who simply exists on the same server as me is, by proximity, also a Nazi.  And they must also be murdered.

Few Will Condemn This

I wish I could say this was a completely isolated incident.

The sad fact is, a number of Tech Journalists share the extreme, Leftist, disturbed, violent views of the Editor of OSNews.  They believe that many groups (including both Conservatives and Jews) are evil "Nazis" who must be murdered.

And, while many other Tech Journalists do not agree with those warped, twisted ideas... few, if any, will speak out against those calls for violence and death.

All Hope Is Not Lost

In those vile messages quoted above, the Editor of OSNews was clearly attempting to bully the administrator of a specific server -- whose only crime was allowing me to exist.

How did that server's administrator respond?  In an incredibly reasonable way:

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Source: Mastodon

 

No name-calling.  Present evidence if you have a concern.

Reasonable.  Calm.  Practical.

Seeing that sort of response gave me just a little extra hope for the future of the Open Source and general computer industries.  If we can get more brave, reasonable, thoughtful people -- like that server administrator -- speaking against the hate and violence of people like the Editor of OSNews... we might just stand a chance.

(Of course, no response given -- by the OSNews Editor -- to this reasonable request.)

A Related Thought From Lunduke

Let's pause, and take a step back.  I'd like to talk, for just a moment, about politically charged discussions (like this one) within the broader Tech World... and on The Lunduke Journal specifically.

When I first started The Lunduke Journal, I focused entirely on the technical aspects of computing.  "Stay clear of politics, Lunduke," I told myself.  "Stick to the happy tech stuff!"

And, by and large, I managed to stay true to that for many years (with no more than a passing, momentary blip into politically charged topics once in a blue moon).

But, here we stand.

At a time when people are being banned from Open Source projects solely because of their political leanings (often leading to the complete destruction of those projects).  When entire Open Source organizations and concepts are being re-shaped -- into something not-at-all "Open" -- by political activists.  When Big Tech corporations are regularly discriminating against people based on the color of their skin or their sex.

And when, like we saw today, a Tech Journalist declares that Conservative Jewish Nerds (and the people who exist near them) are "Nazis" who need to be murdered.

Staying quiet on these issues is simply not an option.

Not for The Lunduke Journal.  And not for any other Tech Journalist worth a damn.

It is well past time to speak out against this insanity.  If you are a Tech Journalist (in whatever form... articles, podcasts, videos), shine a light on these stories.  Show people the damage that is being done to the world of computing by these political extremists.

The Lunduke Journal can't do this all alone.  But if I have to do it on my own... I will.

Because I love computing.  I love the history of it, the technical aspects, the future... all of it.  And computing is worth saving.

So, I will keep covering all of it.  Even if these extremists keep threatening to kill me.

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Open Source AI Definition: Not Open, Built by DEI, Funded by Big Tech
Run by an "Anti-Racist, Decolonizing" Activist, the new Open Source Definition is anything but Open

The Open Source Initiative is preparing to finalize what they call "The Open Source Aritificial Intelligence Definition" -- a set of rules which A.I. systems must adhere to in order to be considered, officially, "Open Source".

And everything about it is truly peculiar.

From the fact that it considers "No Data" to be "Open Data" (yeah, try to wrap your brain around that little nugget) to the corporate sponsorship (from corporations in the "Closed Source A.I." business)... to the "anti-racist, decolonizing" consultant they hired to put the whole thing together.

Yeah.  "Decolonizing".  The whole thing is just plain weird.

A Little Background

The Open Source Initiative's cliam to fame is that they are the steward of what is known as the "Open Source Definition" (aka "the OSD").  A set of rules which any software license must adhere to in order to be considred, officially, "Open Source".

The "OSD" began life back in 1997 as the "Debian Free Software Guidelines", written by Bruce Perens.  Later, with the help of Eric Raymond, that document morphed into the "Open Source Definition"... at which point the two men created the "Open Source Initiative" to act as a certification body for the OSD.

Fun Historical Tidbit: The Open Source Initiative likes to tell a long-debunked story about the creation of the term "Open Source" which they know is historically incorrect.  That little tidbit isn't critical to what we're talking about today... but it's just plain weird, right?

Flash forward to today, and both of the founders -- Perens and Raymond -- have been forced out or banned from the Open Source Initiative entirely.  Now the organization, free from the influence of the founders, is looking to expand into the newly exciting field of "Artificial Intelligence".

Thus: The creation of "The Open Source A.I. Definition"... or the OSAID.

The Anti-Racist Leadership

To create this new "OSAID", the Open Source Initiative hired Mer Joyce from the consulting agency known as "Do Big Good".

 

Mer Joyce: Process Facilitator for the Open Source AI Definition

 

Why, specifically, was Mer Joyce hired to lead the effort to create a brand new "Open Source" definition, specifically focused on Artificial Intelligence?

  • Was it her extensive background in Open Source?
  • Or her expertise in A.I. related topics?
  • Perhaps it was simply her many years of work in software, in general?

Nope.  It was none of those things.  Because, in fact, Mer Joyce appears to have approximately zero experience in any of those areas.

In fact, the stated reason that Mer Joyce was chosen to create this Open Source definition is, and I quote:

 

"[Mer Joyce] has worked for over a decade at the intersection of research, policy, innovation and social change."

 

Her work experience appears to be mostly focused on Leftist political activism and working on Democrat political campaigns.

As for the consulting agancy, Do Big Good, their focus appears to be equally... non-technical.  With a focus on "creating an equitable and sustainable world" and "inclusion".

 

The "Values" of "Do Big Good".

 

When "Do Big Good" talks about what skils and expertise they bring to a project, they mention things such as:

  • Center marginalized and excluded voices.
  • Embody anti-racist, feminist, and decolonizing values.
  • Practice Cultural humility.

 

How "Do Big Good" works.

 

Note: Yes.  They wrote "decolonalizing".  Which is not a real word.  We're going to give them the benefit of the doubt and assume they meant "decolonizing".  Spelling errors happen.

Now, how does "Embodying decolonizing values" help to draft a definition of Open Source Artificial Intelligence licensing?

No clue.  But, apparently, "decolonizing" and being "anti-racist" is important to the Open Source Definition and software licensing.

You'll note that the only software-related skill this "Do Big Good" company appears to have is that they can "work virtually or in-person".  In other words: They know how to use Zoom.

In fact, this consulting firm only gives three examples of client projects they've worked on.  And the other two are non-technical policy documents for the government of Washington State.

 

The other work of "Do Big Good".

 

Why this agency, and this individual, was hired to lead the work on the OSAID is beyond baffling.  Just the same, this appears to be part of a larger pattern within Open Source and Big Tech: Hiring non-technical, political activist types to lead highly technical projects.  It doesn't usually go well.

The Diverse Working Groups

Considering that the leadership hired to oversee the OSAID's creation is extremely non-technical --  and almost 100% focused on "anti-racist" and "decolonizing" activism -- it's no surprise that one of the first steps taken was to create "working groups" based entirely on skin color and gender identity.

 

"The next step was the formation of four working groups to initially analyze four different AI systems and their components. To achieve better representation, special attention was given to diversity, equity and inclusion. Over 50% of the working group participants are people of color, 30% are black, 75% were born outside the US, and 25% are women, trans or nonbinary."

 

What does having "25% of the people being Trans or nonbinary" have to do with creating a rule-set for software licensing?

Your guess is as good as mine.

But, from the very start of the OSAID's drafting, the focus was not on "creating the best Open Source AI Definition possible"... it was on, and I quote, "diversity, equity and inclusion".

The best and brightest?  Not important.  Meritocracy?  Thrown out the window.

Implement highly racist "skin color quotas" in the name of "DEI"?  You bet!  Lots of that!

"No Data" = "Open Data"

With that in mind, perhaps it is no surprise that the OSAID is turning out... rather bizarre.

Case in point: The OSAID declares that the complete absence of the data used to train an A.I. system... does, in fact, qualify as "Open".  No data... is considered... open data.

If that sounds a bit weird to you, you're not alone.

Let's back up for a moment to give a higher level understanding of the components of an A.I. system:

  1. The Source Code
  2. The Training Data
  3. The Model Parameters

If you have access to all three of those items, you can re-create an A.I. system.

Now, we already have the OSD (the Open Source Definition) which covers the source code part.  Which means the whole purpose of having the OSAID (the Open Source AI Definition) is to cover the other two components: The Training Data and the Model Parameters.

Without an exact copy of the Training Data used in an A.I. system, it becomes impossible to re-create that A.I. system.  It's simply how the current generation of A.I. works.

However, the OSAID does not require that the Training Data be made available at all.  The definition simply requires that:

 

"Sufficiently detailed information about the data used to train the system, so that a skilled person can recreate a substantially equivalent system using the same or similar data."

 

At first that sounds pretty reasonable... until you really think about what it means.

This means that an A.I. system would be considered "Open Source A.I." even if it provided zero data used to train it -- it simply must be possible for someone to use the closed, proprietary data... if they should happen to obtain it.

That's like saying "My software is open source.  But I'm not going to let you have the source code.  But, if you did get the source code -- like through espionage or something -- you'd be able to use it.  Which means it's open source.  But you can't distribute or modify that source.  Because it's mine."

Now, an argument could be made that the source code for an AI system could be open even if the data is all closed... and, therefor, it would be "Open Source" under the old OSD.  Which is absolutely true.  But, in that case, why have an "OSAID" at all?  Why not simply keep the existing OSD and focus on that?

Well... I think we have a simple answer to why this OSAID is so utterly strange...

The Corporate Sponsors

The Open Source Initiative is not a huge foundation, especially when compared to some.  But it's revenue is not insignificant.  And it's growing.

In 2023, the Open Source Initiative brought in a revenue of $786,000 -- up roughly $200,000 from the year prior.

 

Source: Open Source Initaitive 2023 Annual Report

 

And who sponsors the Open Source Initiative?

Google.  Amazon.  Meta.  Microsoft (and GitHub).  Red Hat.  And many other corporations. 

 

A Sampling of the Open Source Initiative Sponsors.

 

 

Many of these companies have some noteworthy things in common:

  • They are in the A.I. business in some way.
  • They make use of "Open Source" in their A.I. products.
  • They use "Open Source" as a promotional and public relations tool.
  • They, in one way or another, work with a closed, proprietary set of A.I. training data.
  • They have significant "Diversity, Equity, and Inclusion" efforts.

When you add that all together, this "Open Source AI Definition" begins to make a lot more sense.

It is, in short:

An effort to create a "Certification" which will declare all of their A.I. systems (no matter how closed their data is) as "Open Source"... while simultaneously being run by a DEI activist organization with a focus on racial and gender identity quotas.

It checks a whole lot of check boxes.  All at once.

What Impact Will This Have?

While many may argue that this "OSAID" is simply irrelevant -- and can be ignored by the broader "Free and Open Source Software" industry -- that misses a key impact that is worth noting.

That being: The continued corruption of both the ideas and the organizations of Open Source.

Not only has the Open Source Initiative banned their founding members (and re-written their own history)... they are now seeking to create a new "Open Source Definition" which will allow for systems consisting primarily of closed, proprietary data to be considered "Open Source".  Thus making their Big Tech financiers happy.

The meaning of the term "Open Source" is being actively modified to mean "A little open, and a lot closed".  And many of the same corproations which are funding this effort are also funding things like... The Linux Foundation.

Which means this corruption and dilution of the concept of "Open Source" is likely to spread far beyond the reaches of one, small (but growing) licensing certification foundation.

Also, apparently, decolonizing values... or something.

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