Intertwingulitis by Curriculum Vitae

"Agile Information" Consultant seeking work !

I found myself suddenly (unceremoniously) terminated from my 25-year role on December 3rd.

In terms of "job statisfaction", my role/work/responsibilities ticked every imaginable box.  Well, until about four years before, when each tick started to dim until they all totally vanished by the fall of 2018.  The last two years of employment were absolute hell.

So, "don't cry for me Argentina?"  Blessings in disguise.  Although I'm not sure the lyrics fit my story, cue in George Michael's "Freedom" to dance in celebration? 

Well, I really don't have much time to dance around.
  • Too young to retire
  • Only so much savings to tide me over
  • Too old to be a gigolo
So I really should be shifting into gear to get myself employed tout d'suite.


Cranking out a résumé should have been an easy short-order affair.

Enter intertwingulitis.  Surprise surprise.

It turns out that I am just as intertwingled as anything else.

So while I can kind of afford it, I am enjoying the experience of immersing myself into the "about me" intertwingularity, along with entertaining my reoccurring question "how would I do this with TiddlyWiki?"

I've started calling TiddlyWiki (aka "TW5"): "TW Hypertext Solutions Platform."  That's really wordy, but better reflects my view of the product.

For your entertainment and/or curiosity consumption, my on-going "curriculum vitae":


Goofiest thoughts from way out of left field

In the midst of catching up on news headlines, I came across a group of them related to the siege of America's Capital Hill, and I had these strangest thoughts:

Does something
born by revolution
have a high risk of
death by revolution?

In a society
born by revolution,
does revolution become
part of the DNA?

Just very strange, yet (to me) wildly interesting, thoughts I figured I'd share just in case you might like to chew on those questions too.

Cheers !

Blob Opera !

Blob Opera, from Google Arts & Culture Experiments

From the site:

Blob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture.

This experiment pays tribute to and explores the original musical instrument: the voice. Play four opera voices in real time. No singing skills required!

We developed a machine learning model trained on the voices of four opera singers in order to create an engaging experiment for everyone, regardless of musical skills. Tenor, Christian Joel, bass Frederick Tong, mezzo‑soprano Joanna Gamble and soprano Olivia Doutney recorded 16 hours of singing. In the experiment you don’t hear their voices, but the machine learning model’s understanding of what opera singing sounds like, based on what it learnt from them.

How it works:

Drag the blobs up and down to change pitch. Or forwards and backwards for different vowel sounds. Another machine learning model lets the blobs respond to and harmonise your input in real time.

Feeling festive?

Click the Christmas Tree for a holiday surprise based on the top searched Christmas Carols of the year.

With special thanks to:

Tenor Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney. Additional singing from Ingunn Gyda Hrafnkelsdottir and John Holland-Avery.

Not working?

Blob Opera is an experiment using the latest web audio technology and may not perform optimally on older devices. If you're on a mobile device, why not try a desktop one!

A little example created by me:

Have fun!  Cheers !

My new and ultimate intertwingularity project

ORM-ish à la TiddlyWiki

I had the most interesting thought a couple of weeks ago:

What if TiddlyWiki could be used to document the semantics of a universe of discourse with simple facts expressed in natural language, which TiddlyWiki could, via macros, automagically generate:

  • Plain text language scripts as input to tools that can generate software and/or database modelling diagrams  (for example: PlantUML)
  • Plain text language DDL scripts for database creation
    • (i.e. forward engineering databases in the sense of "producing database-creation code from human-elaborated semantic documentation)

Such a project would encompass all of my absolute favourite things (now I have this bit from "The Sound of Music" in my head):
    • I am at my happiest when my mind is fully immersed in large and complex projects with deeply intertwingled information / thoughts / components / etc. etc.
    • From the very moment I first learned about them, I immediately recognized the potential for wikis as easy, quick, inexpensive yet ridiculously powerful solutions for just about everything, including:
      • Knowledge Management
      • Content Management
        • (Such an easy way to create an intranet!)
      • Documentation Management
        • (Documentation, not "documents"!!!  A topic for some other day...)
    • Since 1995, I've had the pleasure of maintaining and enhancing a very large suite of applications supporting functions related to the management of capital construction projects and to facilities management.  For over fifteen years, I've used a wiki at work as a centralised/consolidated source for:
      • software documentation
        • end-user
        • help desk
        • operational support
        • application development
      • the coolest wiki use case:
        context-sensitive help engine !!!
      • release management
      • requirements management
      • project management
      • my own performance management 
    • I've always really enjoyed (fascinated with) any "diminutive" no fuss no muss (simple, light, inexpensive if not free) tool that humbly handles anything a creative imagination can throw at it.
    • TiddlyWiki describes itself as "a non-linear personal web notebook."  I agree with the description often put forward in the TiddlyWiki Google Group:  TiddlyWiki is a platform for  building solutions.
    • I have always been a huge fan of Scott Ambler's Agile Modelling methodology and the related values, principles, and practices since discovering and purchasing this book many moons ago.  In particular, the practice "Single Source Information" permeates my mindset.
    • Knowledge, Information, Content, Thoughts / Concepts
    • (Related: Chunking)
    • I believe well-organised text is much better than diagrams for communication and comprehension of information.  Although proficient with many types of diagrams (ORM models, the gamut of UML models, Entity-Relationship models, mind/concept mapping models, etc.), I've always found diagrams less than stellar.
    • Regardless, understanding the various information mapping approaches ("information mapping" in general, not the specific product) helps with hypertextual writing. 
    • I've always enjoyed Database Design and data modelling.  Simply put: it is all about intertwingularity, all about organising information into entities and attributes and relationships.  It is very good stuff.
    • Using years of work experience with the Oracle Database product and applying that knowledge in this project, how cool is that?
    • Although I do not like diagrams, I do very much enjoy the use of natural language to describe (and validate) facts about a universe of discourse.  I've found it so much easier to formulate and review simple/clear sentences with clients, and I've found it incredibly rewarding when the tool in use can take those sentences to forward engineer a database creation script. 
    • Gathering, discovering and organising requirements: YES!.  Again, I find it all about intertwingularity, and there is so much intertwingularity in this project.  For example: what types of things are needed to forward-engineer a database creation script?  What requirements do we need regarding the process of gathering information about a universe of discourse?

Oops, that got a little bit long-winded.  I must have had a need to get all of that out of my head ...

Although there is so much work to do, the beginnings don't seem to shabby to me.  Check it out:  ORM-ish à la TiddlyWiki

Cheers !

The Covid-19 pandemic should remind us: Everything is Intertwingled

I just found this interesting article by Richard Reisman, published last May on

The Pandemic Reminds Us
“Everything is Deeply Intertwingled”
— We Need Better Logics for That