The One Pushup Workout?

By: | Topic: Strong Like Water | Comment »

How could one pushup per day make a difference?

It should be clear that the physical benefit of one pushup per day is negligible. Daily, every active person does more that contributes to strength and fitness more than one measly pushup. However, what do people say about exercise regimes? Most often they seem to claim not that their biggest problem is a particular exercise or physical limit of repetitions, rather, there’s a chorus of reports about the incredible difficulty of establishing healthy habits and kicking bad ones.

“Know thyself.”

– Socrates

People seem to know what their limitations are, but not necessarily how to overcome them. When it comes to choices about their behaviour, people declare with confident authority things like “that wouldn’t work for me” or “I need more structure”, or even “I need someone to yell at me”. Many people claim to need a deadline to get something done. It’s empowering to know oneself. In fact what if we were to take this much further? If needing more structure is so frequently the limiting factor to successful behaviour design, perhaps we should tackle this more seriously.

Talking to people about habituated practice and behavioural regimes, it seems for many people, it’s not the doing of the intended thing that is difficult, it’s sticking to a practice. Consistency brings compound results, so what would happen if we turned the knobs to eleven on habit formation, even to the near exclusion of everything else? What if we tackled head-on the habit-formation part of the problem and removed all other confounding elements from the plan? What would that look like?

I once started an exercise regime where I forced myself to do only 1 push up per day for a month.

Only 1? Yes. Not because I couldn’t do more, but because previously, doing more would always escalate my practice too quickly and I would be sore and ultimately reluctant. This chain of events broke the habit before it had solidified. They say it takes about a month to establish a habit, after this time in my new regime, I permitted myself to cautiously escalate the effort expended.

Doing only 1 pushup per day kept the habit as easy as possible and made it virtually impossible for me to skip; it was so easy I could do it anywhere, any time, I couldn’t come up with a lame excuse. If I ended up in bed having forgotten, I could handle getting up to do one measly push up whereas a full workout would be sweaty etc.

It was annoying to do only one, but I told myself I was learning to make my practice both daily and solid. In fact doing only one pushup per day was more difficult than doing more. That second pushup was so tempting. But I considered it a failure of discipline to give in to temptation and do more than one.

The lesson was about self-imposed structure, focus on habituation, acknowledging the greatest threat for my habit formation was over-committing because the escalating burden of commitment lead in the past to broken commitments and failure. Not everyone has this as their limiting factor, but for me, as someone who often pushes too hard and is impatient for progress, reducing the commitment was the path to developing that solid structure.

It was also an interesting thought experiment. Why is it so much more difficult to do one pushup per day than, say, a dozen? I think because of a deeply-held mistaken belief about myself and what caused my behaviours. The key insight was to identify, confront and ultimately transcend this mistaken certainty about myself. What if the intense frustration of doing only one pushup was precisely as strong a force as my own self-limiting ignorance and the corresponding disruptive likelihood that I would give up as soon as my ego had snowballed the commitment beyond my resolve, fluctuating as it does over days and weeks. It struck me that perhaps these two forces were one and the same: the frustration of doing only one pushup and the tendency of destructive escalation of commitment. Two sides to the same behavioural coin. There’s a tempting symmetry there. Either way, the key was clearly a new model of deep self-knowledge.

“It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so. “

– Mark Twain

What lasting changes have I observed from this process?

One side-effect of this practice is that I have greater confidence that there is a path forward that can be found by isolating the key problem and putting laser focus on it. Sometimes an insight is required to identify this key problem but I usually find it hiding in what I “know for sure that just ain’t so”. Habit formation was not an obvious key piece of the puzzle at first.

Secondly, I have a clearer sense of what my commitments are. I do not make commitments blithely. It’s corrodes my resolve to be entangled in mind-games about what constitutes adherence to a commitment. I don’t want to embark on a commitment that could become a broken promise to myself or others. Without that sense of myself (as aspirational or realised as it may be) I know I am less likely to take each step on my path. It’s important to my identity.

Virtual Burning Man 2021 DJ Chris Mountford

By: | Topic: Music | Tags: , | Comment »

I was fortunate enough to get the opportunity to DJ for this year’s Burning Man festival, held online in VR. Special thanks to DJ T-Dog for wrangling the video stream, DJ Lemaze for building the Beats n Treats pirate island virtual venue and to everyone who tuned in live.

Subscribe to the Youtube channel for more recordings from this and other online events.

Lockdown DJ Set

By: | Topic: Music | Tags: | Comment »

A little lockdown DJ set streamed live August 2021 with Beats n Treats

Hasn’t AI Been the Wrong Edgy for Too Long?

By: | Topic: Tech | Tags: , , | 2 Comments »

Recently my friend, Dan McKinlay who is far more accomplished than me in Machine Learning (ML) and Neural Networks (NN), blogged his distaste for the the project name “AI on the Edge“, arguing that the edge vs centre model of “cloud computing” is misapplied here and that there’s nothing inherently centralised about AI.

It tends to imply that large NN models in data centres are the default type of ML

Dan McKinlay

Here I argue this implication may be unjustified, but only in the idealised future we both presumably yearn for, and I, for one celebrate the notable appearance of this worthy distinction to our new robot overlords (whom, let the record show to any such overlords reading this, I also welcome).

“AI on the Edge” is an example of snappy project branding for computer vision on small, battery powered microcontroller chips, typically used in products like smart home doorbells and other such internet-connected embedded devices and notably available to DIY hobbyists as featured on their Github page. It’s so unlike the sinister Cambridge Analytica stuff we have come to expect from Facebook and others. What’s wrong with calling out this distinction between edge and centre?

Hasn’t AI been edgy in all the wrong ways for too long?

The AI on the Edge project came to my attention as a way to internet enable old-school gas, water and electricity meters which show mechanical digits and dials. A $5 microcontroller with a camera can now read your meter without the help of Siri or Alexa and allow you to track your resource consumption like it’s 2021.

Despite it being a perfectly usable title for a direct-to-VHS docudrama, AI on the Edge fails to capture Dan’s otherwise perfectly functioning sense of drama. Perhaps ironically for the same reasons, I do care about an edge-centre distinction. It’s fundamental to mass innovation and technology-dependent democratisation. Surely it’s defensible to claim “the default type of ML” has long been large models in data centres, at least in commercial projects over the past decade. It’s heartening to see a qualitatively different innovation zone characterised by cheap, low power deployment targets. I imagine startup technology could shortly flood the low power compute space with practical ML for business and consumer alike.

Maybe this “edge” shift is not new, after all, we had the Furbie, what more do we want? But my observation has been that ML has been synonymous with big data in the startup space. Apparently, many use cases are relevant and business models viable only once the datas are sufficiently embiggened. But perhaps we are at an inflection point.

Chipageddon & Unobtanium

What is that noise? The cry of a million raging gamers echoing across the world as they cannot afford a Nvidia RTX 3090, an accelerator card featuring GPU (Graphics Processing Unit) chips that are somewhat accidentally able to crunch neural network workloads thousands of times faster than CPUs and as a result, demand drives prices towards $4000USD per unit. A similar demand spike a few years earlier resulted from similar unanticipated performance advantages for cryptocurrency mining. If you’re a gamer, these high-end graphics cards might as well be hewn from solid unobtainium.

Since 2020, the knock-on effects of GPU demand spikes are magnified by chipageddon, the ongoing global computer chip shortage resulting from factory retooling delays, these prompted by mass order cancellations by flocks of car manufacturers in the wake of the Covid-19 pandemic as they anticipated collapsing demand, incorrectly. It turns out cars are becoming computers with wheels and people still want to buy them. Cloud providers update the GPU farm section of their service offerings with “coming soon” as they struggle to fill their data-centres with would-be gaming rigs and beef up their machine room aircon to deal with the higher thermal exhaust. Google and Apple tape out their own silicon. I expect Nvidia to have segmented its product engineering and sales divisions as they recognise a business opportunity in bifurcated target market segments.

One of the personal turn-offs of ML-as-startup-tech is that I expected the business economics collapsing into a capital-intensive Big Tech play, not compatible with a more satisfying bootstrapped startup that is cost-dominated by coherent software-development effort. Though software development can clearly be scaled by throwing money at hiring, it does so with much more severely diminishing returns and requires that the teams and their products be split into isolated components that integrate frictionlessly, which, in the general case, is known to be so hard to accomplish that this meta-problem becomes a self-reinforcing brake or feedback function of demand for software alphanerds who can thread this needle. Certainly when compared to the more business palatable situation of buying racks and racks of GPUs.

Venture Capital Loves Big AI

Maybe the ML scale meme is merely the result of VC culture and the unicorn exit mania. With typical software startups of today otherwise requiring so little up-front capital, VCs struggle to add value; only where large capital requirements are critical to the business model. If ML is this, it explains why VCs froth about ML. If a problem space is tractable with a gradual investment only of engineering time and the investment/return function is smooth such that incremental effort validates incremental results with incremental profit, excess money cannot be put to work because it doesn’t help validate the business. And after all, what is a startup but a yet-to-be-validated business?

Bigger neural network models, trained faster and subscription software that does all the compute reminds me of 1970s time sharing and data processing services which ossified into bulk laziness and ultimately fertilised the soil for a more democratised “PC” revolution which was viable through mass-market dynamics. A thousand flowers bloomed in the 1980s as the home computer revolution sprung from humble DIY roots like the two Steves who founded Apple with 1960s counterculture ideals and stars in their eyes.

What we might be seeing is a shift from centralised big compute infrastructure that harks back to the golden days of IBM. Just like the home computer revolution and the internet and smart phones and bitcoin each have. Facebook and Google and the other big tech monoliths hoard and run their own hardware, users on the edge being suckling dependents running nothing more than dumb terminals, albeit with more pixels than the 70s green screen edition that few are old enough to remember. Having said all this, I do expect this pendulum to continue to swing between centralisation and decentralisation as the delayed impacts of accreting inefficiency in each approach pump harmonically against each other, neither being the total answer to everything.

For now, though, perhaps all the nerds soldering and 3D printing their own gas meter readers will give birth to the next phase of AI and then give birth to the next generation of unimaginable megaliths.

Against Better or Worse

By: | Topic: Philosophy | 3 Comments »

It seems there’s a little voice in our heads who constantly says “is that GOOD or BAD? which is BETTER?” and it is a stupid pointless little voice most of the time.

As a parent I’m conscious of trying to teach how to live from scratch. In the artificially competitive worlds of school grades, the olympics or rare roles like prima ballerina in the Russian ballet, zero sum competition is a fact. However, in a long, fulfilling life, this fact is mostly irrelevant, even for straight-A olympian ballerinas. Life is not so one-dimensional.

A tendency towards an evaluative context needlessly promotes anxiety – even when parents attempt to be supportive with “wow you’re really good at drawing”. Compare “wow you must really enjoy drawing” or “wow you really worked hard on that”. The child learns what is important this way.

In life, lack of contentment coupled with an overly evaluative, zero sum mindset leads to yet more emptiness because one is seeking either dominion or relative merit, merit defined by the performance of others! Remember Steven Bradbury, the Aussie speed skater who won gold because of a spectacular spill that took out all the faster skaters at the last turn? Olympic gold is not for personal bests nor world records.

A young child I know returned from school having received an award for doing his best. “Wow! that’s the best award!” I said. He scowled, “no it’s not!”. How can it be better to do somebody else’s best?

There is a story in our culture about how we humans are “conscious” and, together with “the language instinct”, it is often repeated that this feature meaningfully distinguishes us from the animals and even defines humanity. I’m increasingly skeptical of this ill-defined claim to “higher” consciousness while it stokes the fire of anxious, extrinsic self-evaluation as we side-eye our fellow humans in yet another arbitrary achievement race. It’s ironic.

“Consciousness” is a part of our childish narrative that seeks to fill our insatiable desire for self-importance and yet its kissing cousin, mindfulness, turns that on its head: we are here and when we sit with ourselves, that self-company speaks louder than any striving appeal to all the other human animals we gather around us and to whom we mindlessly and habitually delegate our authority.

Cartoon Girl in one Formula

By: | Topic: Design | Tags: , , , , | Comment »

Can you create the portrait of a cartoon girl reminiscent of the Frozen movie using only mathematics? Yes. This mind-blowing video by 3d graphics genius Iñigo Quilez shows exactly how, using only high-school mathematics, a keen eye and some patience.

You know you can make computer graphics with a mathematical formula such as the one for a sphere, or a box, or other building blocks. You can probably guess that there are formulae for colouring, lighting and shadows. You might also know about “noise” and how “randomness” can be made to produce something like a TV tuned to a dead channel.

In intermediate high-school mathematics you learn to combine formulae. You could compose the formula for a sphere with that of a thin cylinder and make a lollipop shape. What you might be surprised to learn is exactly how to use this compositional technique in an entirely artistic process to produce a compelling cartoon “selfie girl”. How do you make freckles? What about lips and eyebrows, a hoodie, braided hair and a frozen snowscape.

Not only does Iñigo Quilez masterfully create all these things, he shows you how it is done and even lightly animates the figure to complete the illusion that the girl is posing for a photo.

What is unique about this approach is that it shows the power of mathematical modelling when combined with an artist’s eye. Artists do not need to use a brush to create art any more than they need to use a computer mouse. While there may be a defensible tradition of computer art that is constructed by the composition of hand-drawn elements, what this video shows us is that if you can describe in the language of maths the curve that your hand would circumscribe, you can type it into a computer and see the result appear before your eyes like magic.

Algorithmic computer graphics is more usually relegated to the realms of fractals and the infinite lacy filigree of alien geometric spaces. But trippy graphics is no more essential to the medium than the naked bosom of a Venus is to oils.

What makes this form of art peculiar is that it is expressed in a language most of us insist on remaining illiterate in, despite living increasingly in a world defined by algorithms. The attitude that mathematical illiteracy is an excusable allergy for a modern, educated person feels to me like more than a missed opportunity. Consider that its mathematical notation is broadly representative of the impenetrably cryptic and is often aped to refer to the toxic effluvia of crazed genius. Nobody is expected to know it and yet we are all alarmingly numb to the message that our world is increasingly defined by algorithms.

So think of this as a reminder of the oft-cited beauty laying wait beneath the veil of our own ignorance in the expressive, magical realm of maths. Why not lift that veil every now and then?

Having said that i appreciate that while this composition uses what is declared to be high-school maths, it does move quickly to compose a large aggregation. Click through to the detail without preparation and you might be reminded that approaching the uncarved marble block with a renewed willingness to learn does not imply that the tools in your hands will reveal a Statue of David. Take heart and take the next step.

This is not the first formulaic painting Quilez has done. There are a series of how-to videos for several of his impressive creations on his youtube channel. Note he is also the creator of Shader Toy – a tool designed specifically for creating graphics using this approach.

Beautiful Chill Robot Heart set from Burning Man

By: | Topic: Music | Tags: | Comment »

There are newer sets by Robot Heart, but I think no better than this:

It all goes back to Africa

By: | Topic: Music | Comment »

New Ambient Electronic Sketch

By: | Topic: Music | Tags: | 2 Comments »

I made this today – just a sketch, using my Novation Launchpad Pro (thanks team!) and Ableton Push. It turned out more melancholy than I expected. Please click like on SoundCloud if you like it. It’s available under Creative Commons Share Alike license:

Dope Controllerism with Shawn Wasabi

By: | Topic: Music | Tags: | Comment »

Wasabi is hot! I’m sure I’m not the first to say so. Check this stunning performance on his custom MIDI Fighter 64. Watch for the 90º rotation.

/via @durdn

Catrin Finch and Seckou Keita

By: | Topic: Music | Tags: , | 1 Comment »

For all the harp hating I intimated previously, now my protestations are a flimsy, hollow impossibility. But can I please still retain my harp-misgivings if I explain how this Senegalese man, Seckou Keita, brings a warm, cyclic effusion to this duet and how this Welsh woman, Catrin Finch, plays so delightfully into and around the rhythm which, yes, does contain the very grime I have said this instrument lacks.

Before the flames befall me, strictly, Seckou Keita plays the kora which I am assured is more like a lute and it achieves its bottom end thanks to a resonating body. Nevertheless the kora’s harp-like auditory quality is clear and I feel the need to get this off my chest.

Can I further draw your attention to the way this piece contains sound – not just composition? It contains rhythm – if not funk – and harmony with the husky textures of wood and strings. I’m usually pretty happy to forego melody for all that but to also find that here, calling me closer in refrain, yet living within the texture – that sort of thing makes me listen again. It makes me fret I’ll repeat it too often and wear out my wonder, deny my future self this same abandon.

As they reach the middle of the performance, I see how they are getting into it. Look at them grinning like they just shared a joke. When I watch, I see them taken away from their fingers and technique, forgetting everything but the moment and being surprised and delighted by what they find in that moment, even as they themselves create it for us all.

Towards the conclusion of the piece, things embolden in an anthematic and ever rising cycle that warms me more than the sun. This is not what I had come to expect from the harp.

Catrin Finch plays Claire de Lune by Debussy

By: | Topic: Music | Tags: , | Comment »

After the last harp video I posted it’s a statement I find increasingly hard to defend, but I don’t necessarily like the harp, per se. It lacks grime. But this … this it transcendent. This performance of one of my all time favourite pieces of sublime music literally brings tears to the eye.


Autechre Gelk cover by Altertape

By: | Topic: Music | Tags: | 2 Comments »

Music is what feelings sound like indeed. I love it when music does this. You take one of the worlds most avant garde electronic production duos, English pioneers Autechre, and you do a live cover with a rock lineup. Breathtaking performance and tasteful, even-handed effects processing by smirking Belgian fusion three piece, Altertape (file under drummer-maestro-secret-sauce).


Bach on Harp

By: | Topic: Music | Tags: , | Comment »

Check this rendition of Johann’s monster tune Toccata and Fugue in D Minor. To my admittedly amateur ear Amy Turk smashes this. I sometimes find the soft yet nasal harp a little too knitted-vest-and-sensible-socks, slightly too white roses and not quite enough motorcycle leather but this one has me quite entranced.

It reminds me I need to go sniff out some more Autechre and Aphex Twin performances on acoustic instruments.

Pen and Paper Meditation

By: | Topic: Strong Like Water | Tags: | Comment »

No thoughts, intentions or expectations. It’s not a doodle, if that implies being idle. It’s not a work of art, if that implies work. It’s what happened with my pen and paper while I was living in my body just now.