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The History of the First Computer Shell
BASH? PowerShell? It all traces back to 1963. And the work of an amazing Frenchman, CTTS, and Multics.
October 07, 2022
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Powerful, “Command Line” computer interfaces have been around for — what seems like — forever. Interfaces where you can run multiple commands, one after another (in a batch)… where you can have simple “scripts” to tie those commands together.

That sort of “Shell” comes in so many forms… from SH and BASH on UNIX-like (and Linux) systems… to COMMAND.COM and PowerShell on Windows.

The text “Shell” is everywhere. And has been for longer than most can even remember.

But it had to start somewhere. Someone had to make the first “Shell”.

This is that story.

And that story starts… with a man. His name is Louis Pouzin.

The Man

Louis Pouzin was born, in 1931, in a small town in almost the smack-dab-middle of France: Chantenay-Saint-Imbert.

Louis Pouzin. With a sweet mustache. Photo credit: Jérémie Bernard

In the 1960’s Pouzin would move from France — and his job managing programmers at Bull (a French computer company) — to Massachusetts. His new job would put him working on an ambitious computing project at the Massachusetts Institute of Technology…

The Compatible Time-Sharing System

In 1961, the world’s first, general purpose, time sharing operating system was demonstrated at MIT.

That system — the “Compatible Time-Sharing System”… or “CTTS” — was originally developed on an IBM 709. And oh, what a beautiful machine it was.

The IBM 709

The IBM 709 was an absolute beast. Capable of adding 42,000 numbers per second, and multiplying two 36-bit integers together at a (then) blinding speed: 5,000 per second.

All contained in a svelte 2,000 pounds.

And this IBM 709, running CTTS, certainly had a text interface… but it wasn’t exactly a “Shell”. At least not in any way we would recognize together. Certainly, no scripting together of commands.

Over the next two years, CTTS continued to improve and evolve. Getting ported, by 1963, to a modified IBM 7094. Which, like the 709 before it, was a gorgeous machine. With enough physical switches to make any Sci-Fi nerd happy.

The IBM 7094 - “The Blue Machine”. Photo credit: IBM

It is around this time, that Pouzin arrives at MIT, where he is (at least partially) responsible for a little program called “MAIL”.

Wait. What? Pouzin invented E-Mail?

 

Well. Not quite. This was several years before what we now call “E-Mail” was created. This original “MAIL”, on CTTS, was a system for sending mail messages to other users… on the same CTTS system. It lacked a mechanism for forwarding messages to users on other systems.

 

Just the same, this work heavily influenced what would later become “E-Mail”.

But we’re not here to talk about MAIL or the many contributions Pouzin made to computer networking (leading to what we call “The Internet”) — that’s a fascinating topic for another day. Let’s focus on a little program that Pouzin wrote… which would change computing forever.

RUNCOM

You see, in those days, there was no “command interpreter” program. No “shell”. You simply instructed the kernel to run a single program.

Nothing like “COMMAND.COM” on DOS. Or BASH, SH, or other shells on UNIX and Linux systems. Nothing at a all like that existed.

That all changed in 1963, when Pouzin came up with “RUNCOM” — short for “RUN COMmand”.

In Pouzin’s words:

“After having written dozens of commands for CTSS, I reached the stage where I felt that commands should be usable as building blocks for writing more commands, just like subroutine libraries. Hence, I wrote "RUNCOM", a sort of shell driving the execution of command scripts, with argument substitution. The tool became instantly most popular, as it became possible to go home in the evening while leaving behind long runcoms executing overnight. It was quite neat for boring and repetitive tasks such as renaming, moving, updating, compiling, etc. whole directories of files for system and application maintenance and monitoring.”

RUNCOM was, truly, the first “Shell” system.

In fact, Pouzin, was the first person to call such a program a “Shell”.

His RUNCOM program would continue to be a critical component of the CTTS system until it ceased operations in 1973.

RUNCOM section from the CTTS Programmers Guide. Courtesy: Internet Archive

But we still didn’t quite have what we would call a “Shell”. Not yet.

The “Shell” had a name, and some of the features, but it wasn’t a truly interactive experience.

Meanwhile, in England…

During 1964, a computer scientist named Christopher Strachey was working at the University of Cambridge… on, what he called, the “General Purpose Macrogenerator”. Or “GPM”, for short.

Christopher Strachey, sporting a most excellent mustache. Photo courtesy: University of Oxford

This language had a heavy influence on much of 1960s and 1970s computing — including on “m4”.

M4 is a macro language, developed by Brian Kernighan and Dennis Ritchie, that was part of the original version of UNIX… and was later adopted as a part of the POSIX standard.

Strachey’s GPM design document. Published in a 1965 issue of The Computer Journal.

Back in Massachusetts…

During 1964, work on Multics (the “Multiplexed Information and Computing Service”) was getting underway at MIT (as a joint project between MIT, General Electric, and Bell Labs).

While Pouzin wasn’t going to be part of the Multics project… boy howdy… he had some ideas.

In his own words:

“Then in 64 came the Multics design time, in which I was not much involved, because I had made it clear I wanted to return to France in mid 65. However, this idea of using commands somehow like a programming language was still in the back of my mind. Christopher Strachey, a British scientist, had visited MIT about that time, and his macro-generator design appeared to me a very solid base for a command language, in particular the techniques for quoting and passing arguments. Without being invited on the subject, I wrote a paper explaining how the Multics command language could be designed with this objective. And I coined the word "shell" to name it. It must have been at the end of 64 or beginning of 65.”

Pouzin made sure his ideas were documented, by publishing a document entitled: “The SHELL: A global tool for calling and chaining procedures in the system”.

The full document is archived by MIT.
 

According to Pouzin:

“The small gang of Multics wizards found it a sleek idea, but they wanted something more refined in terms of language syntax. As time left to me was short, and I was not an expert in language design, I let the issue for them to debate, and instead I made a program flowchart of the shell. It was used after I left for writing the first Multics shell. Glenda Schroeder (MIT) and a GE man did it.”

From Tom Van Vleck, who worked on Multics for 16 years (starting in 1965):

“The first time I remember the name "shell" for the function of finding and running a command was in a Multics Design Notebook document by Louis Pouzin.

 

These memos con[t]ained the idea of having the command processing shell be an unprivileged user program that parsed a command line, located a program to run, and executed it with arguments.”

So. Who created the first “Shell”?

The concept, and first implementation of a “Shell” (RUNCOM for the CTTS), was made by Louis Pouzin.

But the first truly interactive example of a Shell — the one that was part of Multics, and which would most closely resemble the interactive shells of today — was initially designed by Pouzin… and programmed by Glenda Schroeder and a “Mystery Man from General Electric”.

The impact of RUNCOM and the Multics Shell

The impact of these early Shells cannot be understated.

Because of RUNCOM — and the designs of Pouzin — we have the Multics Shell.

Because of Multics… we have UNIX (originally named UNICS… before someone in marketing decided an “X” looked cooler) and SH.

You can trace every single computer Shell in existence — including BASH, PowerShell, and so many others — back to that first work. Back to the ideas of Louis Pouzin.

In fact, that influence expands far beyond just the design ideas of a scriptable, interactive Shell.

According to Brian Kernighan and Dennis Ritchie:

"There was a facility that would execute a bunch of commands stored in a file; it was called RUNCOM for "run commands", and the file began to be called "a runcom". rc in Unix is a fossil from that usage."

That’s right. Have you seen “rc” on your UNIX or Posix systems — such as .cshrc or /etc/rc? Those are named that way, according the the men behind UNIX itself, because of RUNCOM and Louis Pouzin.

To put it simply, modern computing is the way it is, in large part… thanks to Pouzin. A computer scientist that should be a household name.

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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.

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Source: Mastodon

 

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

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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.

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Source: Mastodon

 

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

Reasonable.  Calm.  Practical.

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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.

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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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