Those born in the 1890s experienced electrification, telephone, radio, television, nuclear age, penicillin, two world wars, commercial flight, computer age and a moon landing. By the 60s we had AI, VR and 3D printing.
Today, we have the internet / www and have improved stuff.
Is it me, or is human progress slowing down? Great breakthroughs, moments of change, and radical transformations seem like a thing of the past. What we call "revolutions" in industry today seems mostly a marketing slogan.
If you think back to 1957 and the Mark I Perceptron machine that was built at Cornell, then consider the changes in the previous 60 years ... you can't help but think they would be bitterly disappointed with how slow we have progressed in the following 60 years.
Could you imagine the conversation with Frank Rosenblatt about ChatGPT ... he'd probably be amazed until we said it was built in 2022. They were expecting us to be living on other planets by now.
14 years ago, I discussed a "peace, war and wonder" cycle of how things evolve ... (old mapping format) ...
... and how the industrialisation of one technology enabled others ...
This was all based upon CS Hollings Adaptive Renewal cycle ... it's something I discussed at my first LEF talk in late 2009 (which was prior to joining) ...
I finally got to examine this in 2013/2014, looking at how waves of technology were evolving and reaching this point of industrialisation ...
... what we perceive of as rapid change are multiple waves of industrialising technology. We forget about the long path it takes for the technology to reach that stage but instead notice that things are hitting at the same time - AI / VR / 3d Printing etc.
I pick those examples because AI / VR / 3D printing all started in the 1960s or before.
I suspect that today seems rapid because multiple waves, that were started long ago, are industrialising at the same time.
i.e. our perception of change (and hence our view of progress) is neither uniform nor linear. It may take 30-50 years for a technology to industrialise but multiple waves of industrialising technology hitting at roughly the same time give us a sense that change is more rapid.
So ... 1) Don't simply assume that progress is accelerating ... that sense of rapid change could be the result of multiple waves of industrialising technology hitting at the same time rather than an underlying change.
2) Don't dismiss how radical change was in the past. It had moments in time with multiple waves of industrialising technology that would have been seen as groundbreaking as many think AI/internet is today.
3) Don't extrapolate from today until tomorrow. Otherwise, you'll end up like a 1950s person wondering why we aren't living on other planets and why flying cars aren't standard.
dX: Does anything accelerate progress?
Me: I did some work on this long ago. It appears that the industrialisation of communication mechanisms - the printing press, postage stamp, telephone, the internet etc. - accelerates all subsequent evolution.
dX: What other factors?
Me: The strongest factor I could find was the industrialisation of communication mechanisms. There are short-term impacts, like necessity/crisis, but that didn't seem to have a long-term impact.
You'll find it in my list of economic patterns ... which I need to update soon with a few others I've found.
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X : What is the deep state?
Me : Depends. You have various conspiracy theory forms and then there's the general term used to describe networks of power operating outside traditional democratic processes. This includes the influence of corporate interests, financial bodies, think tanks, wealthy individuals, lobbysts firms and institutions on government policy. Why?
X : Is Trump going to war on the deep state?
Me : I suspect you'll find that Trump brings his own corporate interests, financial bodies, think tanks, wealthy individuals, lobbysts firms and institutions that will have influence on government policy outside of the normal democratic process.
X : What does that mean?
Me : It means the deep state doesn't usually go away, it just changes i.e. a different group have influence. Unless Trump is planning on a radical program of transparency. Now, that would be interesting. Never seen Trump as a transparency champion.
X : Did you research healthcare investment?
Me : Back in 2023. A group of clinicians mapped multiple perspective of healthcare - including AI, clinical decision making, healthcare value chain - then we used those to determine where to invest from a societal and market benefit.
Me : ... from the table, if your focus is on society then your priority for investment should be measurement of health outcomes (against Patient Reported Outcome Measures) and sharing of medical data. If you're after market growth then try personalised medicine and preventative healthcare.
X : How do you produce those tables?
Me : Pick a field ... like healthcare. Ideally get 40-60 people together with experience i.e. clinicians. Ask them to write down post-it notes of what matters ...
X : What is the most essential skill for AI in the future?
Me : Critical thinking in humans. Alas, we don't usually teach this at school because we're too focused on producing useful economic units.
X : Useful economic units?
Me : Turning humans into automatons for the workplace.
X : Do you have evidence for this.
Me : I took a group of educational consultants, academics and teachers in 2023 and mapped out education from multiple perspectives ... purpose, micro-credentials, asynchronous & synchronous learning, learning models, social learning ...
... we then used the maps to identify where to invest for both societal and market benefit. We then aggregated the results, into the table attached.
If your focus in on societal benefit, then invest in lifelong learning and critical thinking. If your focus is on making money then invest in educational AI and digital access.
It amazes me that the most important metrics (lines of code, story points, cycle time, devex satisfaction) in development are the two that are never discussed, let alone measured ... mean time to answer (mttA) and mean time to question (mttQ).
Whenever we start with building a system or managing a legacy environment, we need to ask questions and get answers. Those are skills which can be hindered or supported by the toolset around you ...
... in the very worst cases, engineers are forced into reading code to try and understand a system. Upto 50% of development time can be spent on reading code ... a process we never question or optimise. That is madness.
X : Thoughts on a return to office policy?
Me : It happens for two basic reasons:- 1) loss of status symbols (top floor office etc). Many execs need these to say "I'm the boss" 2) headcount reduction (i.e. people will leave) due to a weakness in the finances.
Why?
X : What about productivity and innovation?
Me : Those are "reasons" given but they're all bogus and don't stand up to scrutiny. However, there is a third.
X : Colloboration?
Me : Stranded assets - offices etc. No exec likes looking at an empty building they spent £300M on.
X : Basically - status symbols, weaknesses of finances and political capital?
Me : Sounds about right.
X : Did you see Amazon has a return to office policy -
Me : Oh. That's concerning.geekwire.com/2024/survey-by…
X : Our strategy doesn't align with our business.
Me : How do you mean?
X : We create these strategy documents but they never really get implemented as the day to day business takes over.
Me : That's common. Can I ask a question?
X : Sure
Me : ...
Me : Do you map?
X : I've heard of your technique but we don't use it.
Me : Ok, so your business operations is not based upon a map of the landscape?
X : No
Me : And your strategy is not based upon a map of the landscape?
X : No
Me : What made you think they would align?
X : They are supposed to align and we wrote our strategy on our understanding of the business.
Me : Your wrote your strategy based upon stories. There's no means to create a consensus of your landscape, to challenge what your are doing. There is no mechanism for alignment.