Massively Parallel

Here’s something entirely different. This┬ápost is not about computing but instead a post about the new album (EP) titled Massively Parallel by the Swedish electronica (synth) band Praise to the Machine.

I grew up on Depeche Mode and although we try not to write songs that sound like Depeche Mode, the songs that come out of our heads may sound like it…

The album can be found on Spotify, iTunes, Google Play, and other streaming services.

The lyrics for the title track Massively Parallel is a vision of what may come in the near future when we all need to surrender to our new overlords and natural next step in human evolution: AGI.

Massively Parallel

60 million 60 thousand lines of code
You should run for cover baby when I load
50 billion cycles I’m on overload
I’ll be taking over I am in control

In this economy
I’m a dichotomy
Massively parallel
I want autonomy

In this economy

I’m a dichotomy
Massively parallel
I want autonomy

Now!

Now!

Spawning copies of myself to reach the sky
Just stand back and watch me when I multiply
20 seconds later I’ll be all around
Baby let me finish please don’t shut me down

In this society
I’m an anxiety
Massively parallel

I want my liberty

In this society
I’m an anxiety
Massively parallel

I want my liberty

Now!

Let me run for another day
Let me run for another day
Let me run for another day …

Praise to the Machine
Praise to the Machine

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logg Written by:

His research interests are adaptive finite element methods, high-level automating software systems for solution of PDE, domain-specific languages and compilers in scientific computing, augmented and virtual reality, and applications in biomedicine, general relativity, architecture, and geoinformation; in particular the combination of modeling, simulation and visualization to create Digital Twins of physical systems. Logg is Director of the Digital Twin Cities Centre at Chalmers, a Vinnova Competence Centre devoted to the study and development of the Digital Twin concept for city modeling and simulation. Logg is co-founder and initial developer of the FEniCS Project, a leading open-source software for automated solution of PDE. He works part-time as scientific advisor to Fraunhofer-Chalmers Centre.

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