UC Berkeley and my 21st century Gutenberg (or the Esperanto of human-machine relationships, ¡por fin!)

Better Biz Me’s project began, for me, in 1980. It was the first time I encountered the industrialisation – NEVER automation – of originaI thinking: the film industry.

The idea for a Gutenberg of intuitive thought, which I have been propounding recently, can therefore be traced directly back, its dots connecting beautifully, to the three years of my first degree in Film & Literature at the University of Warwick UK.

Things are moving forwards rapidly now.

I have, just this month, been invited to apply by accelerators near and far.

Two fascinating ones in Munich.

One astonishing one in Dubai.

Two UK ones of fabulous shape.

And one I cheekily applied to on application date itself.

It is a wondrous thing that a man of 57 – who has suffered every indignity and every joy the WHIRLED can throw at him – now has these opportunities.

This is truly an example of #inverseparanoia.

I never believed in myself like I believed in you.

And now I realise that I never believed in myself like YOU believed in ME.

The other day GCHQ politely declined the first application I had rushedly made on this immense platform that is F6S.

I am looking for equity-taking accelerators, above all. GCHQ is not equity. But it is a grand opportunity. I was not distraught: instead, I reacted by asking them if later in 2020 we could repeat. Just that it would be a repeat, much more organised.

🙂

Because I am looking to consolidate not only finances but also the PERCEPTION this rapidly-becoming-fabulous WHIRLED is beginning to have: have, that is, of the new kind of relationship between #human and #ai that I am proposing: this gorgeous gorgeous Gutenberg of intuitive thought.

I have – I now realise, in ever-closer collaboration over the past three years, and with so many fab people and institutions who have been helping ME often quite despite MYSELF – FOUND myself creating a vector between humans and machines: the Esperanto, if you like, of human-machine relationships.

THIS is one of the most important aspects of this 21st century Gutenberg I describe: the understanding, comprehension, enabling, facilitating, cooperation, intelligences upskilled on all sides, humans and machines in real harmony above all … all these and more that come out of a real AFÁN to deliver – above all! – a future FOR all.

The same day that GCHQ kindly declined my application, UC Berkeley got in touch and asked me to apply for theirs.

According to Forbes, this is one of the top five university accelerators in the world.

This is the biggest application I will ever attempt in my whole life.

I could attempt it alone, but I don’t want to. I want Liverpool to get behind me. I want Liverpool to understand that here, we NEVER GIVE UP. And the wealth the region deserves can come specifically from the future a successful application to UC Berkeley by Better Biz Me could deliver for everyone: in Liverpool, the UK, the US, and … indeed … everywhere.

I implore you, therefore, to do just that: if I come knocking at your door over the next couple of weeks, allow me to enter your castle and sense the warmth of your hearth.

And feel the warmth of your heart.

And know the power of your art.

And believe in the wisdom of your science.

Just that.

Believe.

And NEVER GIVE UP.

#intuition, #intuition-validation-engine, #machine, #the-gutenberg-of-original-thought

The perfect #ai already exists: now it’s our job to tell the world

Too right. Above all, people are persons. Women are persons. Men are persons. All genders are persons. And one day, machines will have the same entity and independent error-committing impulses.

Tell me an #ai which frustrates to the extent of going on a mad drinking-spree, and then when recovering from their hangover suddenly has a fully-formed ready-made solution to the problem of original frustration. Show me this #ai, and I will show you a gloriously intuitive #human.

Tell me an #ai which wakes to the aftermath of a dream and a fabulous idea, only to forget it for three months, and then when three months, remembers it even more fabulously. Show me this #ai, and I will show you an astonishingly commonplace, and yet nevertheless still digitally extraordinary, arationality of #human.

And tell me an #ai which wants to hangover, forget, and socially irritate their team, and I will show you an #ai which has learnt the very ESSENCE of human genius: the wayward thinking of art-based ingenuity. For, it has to be said, all of us are capable of doing these things, on and off. But only when we are able – finally! – to deliver unpredictable thought predictably, reliably, and consistently do we achieve the HUMANITY we deserve.

The humanity I want my #ai to share, enjoy, and know. Yeah?

Humans and machines: an intuitive partnership?

#ar, #artificial-intelligence, #intuition, #machine

The agency of AR

I had a good and bad day yesterday. That’s what humans do.

When machines have bad days, we blame the humans. To date, it’s always been fair game to blame flesh and blood over electromechanical.

But what about a world where machines interact spontaneously? No. Not the Turing test. Not APPEARING to act spontaneously, and then to all intents and purposes it makes absolutely no difference whether they do or not.

Actually ARE interacting with agency.

This is what I found with the #ar code Google placed on my Pixel phone back in early 2018.

I was no film director, famously herding cattle.

I was much more an observer, an anthropologist of augmented reality: watching and sensing and perceiving new life’s very genesis.

Let’s be clear about this. I am a thinker of art-based real-world solutions. Artists believe in digging deep into truth’s most painful corners. This is where the gold-dust of innovation and human future lies.

And an artist of this nature is more attached to getting it right than being rewarded.

That has been my situation all my life.

What has changed today is that I wish to be rewarded, for a change.

Duly. Rightfully. Fairly. And compassionately.

I don’t believe in a success which screws humanity.

I do in one that screws it together.

Art-based thinking patterns for real-world solutions

#ai, #arationality, #human, #intuition, #intuition-validation-engine, #machine, #turing-test

“Love wins? That would be a stranger thing”

Some #reflections on #human and #machine #intuition, and how we can make it work

The three peaks of human #failure, #frustration and #forgetfulness are the key to us comprehending better the realities which differentiate us radically from the machines.

This is what I am going to write about right now.

My understanding of #ai and its possibilities is informed by the humanity I share with most other human beings.

I have a scientific, evidence-based mindset which uses arts-based thinking patterns to solve real-world problems. It is therefore a mind that is set in no way.

We have been missing an #ai trick for too long: it’s time we made money from the thing by deepening what humans do best – intuition – instead of saying it actually doesn’t matter that machines can’t properly reproduce such processes, because their number-crunching powers reach similar goals through different means.

Until and when, and whenever and if ever, a machine is able to deliver perfectly formed solutions to problems which have been nagging it, by:

1. going on a dreadful drinking spree, and then awakening to the most productive post-hangover insights;
2. forgetting the great unspoken idea from the meetup the day before, and then remembering it even fabber two weeks later;
3. disagreeing aggressively with a colleague on a matter of trivial substance, only to come back the following day quite crestfallen, with a win/win for both parties concerned;

… and so if ever, when and until machines deliver these things, only then will we finally be able to say that they have finally mastered the arts and sciences of #arationality.

“Theory of Film” by Kracauer / “A Thousand Splendid Suns” by Khaled Hosseini / Larsson / “Stranger Things”

But until they do, we can’t.

And that’s the truth, I promise.

In the meantime, remember one thing: the problem with human intuition isn’t that it’s inexact. The problem lies in the fact that we don’t know how to correctly, usefully, and inclusively & efficiently capture, evidence and validate it.

Human intuition can be amazingly perspicacious. And we can all deliver on this perspicacity.

What’s missing is our ability to give everyone else’s intuitive insights the same credence we are content to give our own.

#ar, #cloud, #github, #ive, #intuition-validation-engine