Most AI practitioners will argue that the risk to humanity from AI doesn’t (and won’t) come from an AI waking up one day, deciding that the best way to solve the world’s problems is to wipe out humanity and then serendipitously finding that it’s in control of the world’s nuclear weapons. On the principle that cock-up trumps conspiracy, pretty much every time, we’re far more likely to take a range of hits from the misapplication of an AI that’s either too stupid1 to do the job that’s been asked of it or where those deploying it are incapable of understanding its limitations (or indeed don’t care, as long as they’ve cashed out before it all falls apart). Broadly speaking, machine systems fail for one or more of these reasons: Continue reading Wye AI, Man!
I spend much of my time working on various Smart City programmes: anything from modelling need and opportunity to designing architectures for the fusion of large and diverse data sets with live sensor and device data (IoT) and the analytics needed to make the results coherent, timely and relevant. I also live in a very small community, where I was founder of a community company whose efforts have led to our little corner of the Scottish Highlands being in the top 1% of global broadband connectivity. We’re now starting to use that infrastructure to create opportunities for new services and means of service delivery, applying the principles of Smart City programmes to the needs of rural and remote communities, based on the tripod of providing the tools (in the form of the infrastructure), helping people acquire appropriate skills and then nurturing the ideas that then emerge.
I spend quite a lot of my time doing due diligence on innovation funding applications. I’ve been doing this for rather longer than is comfortable to contemplate so, over the years, I’ve seen progressive tides of hype wash in, fill a few rock pools, and then wash out again, only to re-emerge a few years later – assuming it had any merit in the first place – in a form that actually works as part of the overall problem-solving ecosystem. That innovation-development-hype-disappointment cycle may actually happen several times before the rest of the innovations needed for an idea to gain market traction catch up. That’s certainly been the case with VR and AR, with IoT and, most of all, with ArtificiaI Intelligence (AI). Continue reading Then a Miracle Occurs: The Hype of AI Pitches
1978. Easter hols from university. I was wandering through my mum’s kitchen – being a student, I was, as usual, in search of anything that could be eaten without dire consequences. I was also, just as usually, ignoring the Radio 4 she always had on in the background. Except that, this time, the sonorous notes of The Sorceror rang out across the kitchen as I slouched past. That stopped me: as a West Coast hippy misplaced in time and space by a decade and a few thousand miles (here I cite my cowboy boots, bell-bottom flares and a fine collection of Jefferson Airplane albums), anything from The Eagles was OK by me. But on Radio Four?
The picture above is ASCI Red, the world’s fastest supercomputer in 1999-2000. It was about the size of a large tennis court, sucked a couple of MW and cost around $55M (it went through various incarnations). And that’s not to mention the staff of acolytes and air-conditioned buildings required to make it work. Its delivered performance was about 2.4 TFlops (Thousand Billion Floating Point Operations per second), with a theoretical maximum of around 3.2TFlops, delivered by an array of nearly 10,000 processors, all chuntering away in parallel.
This is aimed, in no small part, at my many friends in the US, who I see alternating between despair at their own ‘government’’s behaviour and angst-laden apology to the world for their current Liar-in-Chief. Please, folks, relax, a little at least.
Yes, the withdrawal of the US from the Paris Agreement will do damage – indeed, it already has – but that damage is less to the mitigation of anthropogenic climate change than to US influence in the world.
Long ago, I called my consulting company Two Worlds, because so much of my work was, and remains, about reconciling different views and attitudes: technology and business, art and science or physical and virtual worlds. Here though is an instance where two worlds of my own converge head-on: my organisational background and my voluntary work in advanced motorcycle instructing. It’s a rather sad tale but one which parallels and echoes what we so often see in the commercial world.
AI (that’s Artificial Intelligence – I have to be clear here as I live in a farming community and conversations have been known to take a strange turn) is a flavour of the moment and is riding high on the arm-waving curve of the hype cycle. We’ve been here before though – as a notion, AI has been through more loops of the hype cycle than most technologies, with successive waves of mutually reinforcing innovation and fiction conspiring to promise more than contemporary understanding could deliver.
The Greek ‘deal’ is nothing of the sort. It is instead a self-defeating mockery of both the principles and grand vision that founded the EU. As such, it is no more than vindictive and short-sighted retribution for perceived (and, to be fair, actual) past misdemeanours of the Greek government and people. Just how can driving an already broke nation further into indenture, debt and recession do anything other than feed a cycle of recession driving greater debt and, in turn, ever-deeper recession?
I’ve just installed a doorbell. “Well, whoop-de-do” I hear you mutter. But bear with me – there’s a sort of a point to this.
It’s a Thing – a Skybell – and it’s connected to the Internet, ostensibly to potentially do useful stuff. Does that though automatically make it part of the buzz of the twenty-teens, the Internet of Things?