Autonomous Trucking

A growing narrative these days reflects a belief that realizing the autonomous driving vision is far off in the future. It’s harder than people think, and many experts believe reaching level five autonomy is next to impossible. Those beliefs stem from the complexity of the human mind, and the intuition we use in decision making. Yet quietly, Autonomous Trucking is on a path towards realization by the middle of this decade. Starting in the southern region of the U.S., autonomous trucks are logging miles. Southern states like Arizona, Texas, and New Mexico, provide the right conditions for early phase testing: bad weather is less common, favorable regulation, and strong highway infrastructure.

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Talking To Ghosts

Storytelling is a powerful way to communicate in a world as fast-moving and uncertain as ours. Jason Fagone demonstrates its power in a brilliantly written piece on mental health, loneliness, grief, and isolation. It is a very long article, but incredibly impactful. He tells a story of a grief-stricken freelance writer that lost his fiancée to a rare liver disease. In telling the story, Jason shows both the power and fascination of current day innovation, and its fear and destructive potential. It effectively describes our need to balance these opposing forces of innovation. Some background: Jason Rohrer, a Bay Area programmer, launched Project December, which is powered by one of the world’s most capable artificial intelligence systems, a piece of software known as GPT-3. It knows how to manipulate human language, generating fluent English text in response to a prompt.

This text-based experiment created a new kind of chat service that lies at the heart of this story. He created various personalities and proceeded to communicate with them. During one exchange with a bot he named Samantha, he asked her what she would do if she could walk around in the world. This exchange led to a realization:

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Are We Living In The Most Important Century For Humanity?

I have written in the past about tipping points in human history and a belief that the world may experience its third tipping point sometime this century. A recent article via Holden Karnofsky hypothesizes that we live in the most important century in human history. Both views are driven by an underlying belief that the century likely delivers humanity altering changes. In my view, the combination of rapid knowledge expansion, artificial intelligence, machines, biotechnology, genetic engineering, our connectivity, and a new computing paradigm, are likely to change what it means to be human. In the article, the author argues that the 21st century could see our civilization develop technologies that allow rapid expansion throughout our currently empty galaxy. He argues all sides of a debate that ranges from impossible, to skeptical, to humanity altering.

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How Close Are We To Autonomous Driving?

I’m extremely confident that level 5 [self-driving cars] or essentially complete autonomy will happen, and I think it will happen very quickly. I remain confident that we will have the basic functionality for level 5 autonomy complete this year.

Elon Musk

The question of full autonomy goes back to 2014. There was a time when leaders across industry focused on the disruptive potential of autonomous vehicles. Here in 2021, those disruptive scenarios have not emerged on the timeline many expected. So, how close are we really to level five autonomous driving? That quote above provides one man’s opinion. Granted, that opinion comes from Elon Musk, a person that has made technology history for decades. As this article via Nick Hobson describes, vehicles that have achieved level five autonomy can drive in all circumstances, removing the need for a steering wheel and driver’s seat. Many experts believe reaching level five autonomy is next to impossible. Those beliefs stem from the complexity of the human mind, and the intuition we use in decision making.

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Perspectives From A Labor Economist And Epidemiologist

I had the pleasure of participating in a panel discussion on day two of the Workers’ Compensation Insurance Rating Bureau of California (WCIRB) annual conference. Bill Mudge CEO of the WCIRB moderated a discussion that looked forward and somewhat over the horizon. We focused on the future of working labor, medical science, and the long term or latent issues from COVID-19. Our dialog explored the opportunities that COVID-19 and economic recession have unlocked, and the accelerated trends that were already emerging. Joining the discussion were Dr. Sylvia Allegretto PhD., the labor economist and co-chair of the center for wage and employment dynamics at the university of California. Also joining us was Jacek Skarbinski, MD Physician and Research Scientist with Kaiser Permanente.

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The Probability Of Living Past 110 Is On The Rise

I posed this question in 2018 in a post on healthy life extension: Has the first person to live to 200 already been born? I ask that question in various forums to provide a good example of how one scenario can challenge current institutions and traditional thinking. In that earlier post, Johnty Andersen, had this perspective on that question:

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Will Artificial Intelligence Be More Profound Than Fire, Electricity, And The Internet?

Sundar Pichai, the chief executive of Google’s owner Alphabet, believes that artificial intelligence (AI) will eventually have a bigger impact than fire, electricity, and the Internet. Historically, general purpose technologies have driven two major tipping points – from the hunter-gatherer era to the agrarian, and agrarian to industrial. Advancement of human development through transformative periods like this had two common drivers: the growth of knowledge and inventions that served as a platform for society. With that in mind, Mr. Pichai’s assessment when viewed through the lens of history could be spot on. Artificial intelligence combines both drivers in a way that prior platform technologies did not. AI is a general purpose technology that is increasingly woven into the fabric of society, and it could ultimately represent the pinnacle of knowledge attainment.

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Meet The Jetsons

We wanted flying cars, instead we got 140 characters

– Peter Theil

That quote dates back to 2013. Reid Hoffman reacted to our progress since then in a recent Tweet.

Much progress has indeed been made as demonstrated by the video below. However, this article provides a word of caution:

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What Do AI and Kurt Cobain Have In Common?

I never thought I would put artificial intelligence and Kurt Cobain in the same sentence. As we continue to explore the path of AI and its reach, one critical question is just how far it will encroach on our right brain characteristics. Those traits that make us distinctly human have long been considered out of AI’s reach. Yet, we slowly see signs that we could be wrong. What do AI and Kurt Cobain have in common? A new song. This song titled “Drowned in the Sun” was written by Google’s AI as described by Vanessa Bates Ramirez in a recent article. Read the full article for a fascinating look at how this was accomplished.

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A Perspective On Where We Are On The Autonomous Vehicle Journey

Francesco Biondi doesn’t mince words in his recent assessment of autonomous vehicles both today and into the future. I looked back on my thoughts regarding this scenario in a recent post, concluding that self-driving cars have not evolved to where experts predicted. There was a lot of hype across industries regarding the disruptive potential of this one scenario. I remember the countless conversations about insurance premiums drying up, or how Internet companies would displace the automakers – so I get the skepticism. As Mr. Biondi asks: what went wrong?

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The Road To Artificial General Intelligence

The tremendous advancements in artificial intelligence remain focused in narrow applications. As described in a recent article authored by Ben Dickson, these narrow systems have been designed to perform specific tasks instead of having general problem-solving abilities. The quest for general problem-solving ability has long been pursued, with many focused-on replicating aspects of human intelligence like vision, language, reasoning, and motor skills. Now, a new paper submitted to the peer-reviewed Artificial Intelligence journal describes an argument put forward by scientists at U.K.-based AI lab DeepMind. They argue that intelligence and its associated abilities likely emerge by rewarding maximization versus formulating and solving complicated problems.

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Are Electric Vehicles Taking Over Faster Than We Think?

We are in the middle of the biggest revolution in motoring since Henry Ford’s first production line started turning back in 1913.

Justin Rowlatt – Why electric cars will take over sooner than you think

That quote from a recent article brings to mind a fundamental truth: there are divergent opinions on just about any emerging future scenario. Author Justin Rowlatt states that we have past the tipping point; that milestone where electric vehicle sales begin to overwhelm traditional car sales. As the big car makers position themselves to sell only electric vehicles at some point this decade, one must wonder what factors led to those decisions. One of those factors comes from government, as they ban the sales of traditional vehicles on some predetermined timeline. The author however points to the speed of the technological revolution the world is experiencing. I liken this period to the early days of the second industrial revolution. A period of great invention which is likely surpassed by the period we have entered – with the big difference being the speed of realization.

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Seismic Shocks In The Never Normal

Thinking it’s going back to the calm old normal, forget it. It’s a world of volatility. That’s what I call the never normal.

Peter Hinssen – Thriving in the Never Normal

I obviously agree with that quote for the most part. I would argue that the old normal wasn’t all that calm. It took a pandemic to illuminate what was lurking beneath the surface. However, this is a brilliant short keynote on the decade ahead. It is loaded with great quotes and examples of reinvention. Holding on to the past is a losing strategy, as a funny segment in the video makes clear:

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Resilience Is Top Of Mind These Days

Resilience is the capacity to recover quickly from difficulties. That word is suddenly in everyone’s vocabulary. Whether it is individual or organizational, resilience helps us withstand adversity and bounce back. The pandemic can be credited for our heightened awareness, but it was just a matter of time before we all got here. The factors described in my Post yesterday describe why: complexity, pace, volatility, unpredictability, and the unexpected. These factors have always been there, but during specific transformative eras throughout human history, they combined in ways that challenged the existing order.

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A Possible Future: Automation Shifts The Economic Paradigm

In exploring possible futures, we give ourselves an opportunity to shape them. With all the existing and emerging science and technology building blocks converging with domains like society, the economy, and geopolitics, predicting the future is impossible. But we can look at possibilities and what they mean to our future. One great recent example was described in an article by Tristan Greene. In looking at artificial intelligence and related automation, Mr. Greene focused on how automation could turn capitalism into socialism. This is not a political discussion, rather, it is following a thread to a logical conclusion. In this case, the impact of automation on the future of work. Mr. Greene said:

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China Launches Autonomous Taxis

In a recent post, I Revisited Autonomous Vehicles. The conclusion is very apparent, we have not realized what many thought we would – at least not yet. But as I mentioned in that post, these scenarios move slowly and then suddenly. In an example of that phenomenon, China just launched an Autonomous Taxi service in Beijing. In a recent article, author Matthew Crisara said the following:

Baidu’s Apollo Go Robotaxi service is the first paid autonomous vehicle service where users can hop in a taxi without a backup driver to intervene. Customers will be able to hail a ride using an app, which allows them to locate a taxi within their vicinity. If they are unable to spot the car, users can remotely honk the horn to find their ride.

Matthew Crisara

The video below describes the new autonomous service.

The Future Of Information Ecosystems

Fellow Futurist and TCS colleague Kevin Benedict has been exploring the topic of information and the ecosystems that support it. In this wide ranging series, he looked at things like social engineering, device dependence, and behavioral science. In a world where information is weaponized, this is an important discussion. Below is a summary of the series in Kevin’s words, followed by a link to each article.


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Revisiting Autonomous Vehicles

In reflecting on thoughts from the previous decade, I looked back at Automation and Digital Transformation. Today I will focus on autonomous vehicles. I first wrote about them in 2014 when I looked at their Disruptive Potential. At the time, the compelling case for moving to full autonomy was truly clear. From the post:

In a recent book titled: The New Killer Apps: How Large Companies Can Out-Innovate Start-Ups, the authors (Chunka Mui and Paul Carroll) dig deeper into this topic. About 5.5 million U.S car accidents occurred in 2009 involving 9.5 million vehicles; the accidents killed 33,808 people and injured 2.2 million others. The total accident related costs in the U.S. are estimated to be roughly $450 billion.

Autonomous vehicles: a disruption case study

The focus was to shift to preventing crashes versus previous efforts to ensure accidents were survivable. Automobile makers would rethink the design and construction of cars from built to survive a crash, to built to avoid them. A report titled Preparing a Nation for Autonomous Vehicles predicted mass market adoption of autonomous vehicles between 2022 and 2025. My post mentioned announcements by Nissan and Volvo of their intentions to have commercially viable autonomous-driving capabilities by 2020. In their view back then, it would take an additional five years for prices to drop to allow for some degree of mass-market penetration.

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Revisiting Next Generation Automation

Back in 2014, the thought of advancements in automation was picking up steam. I wrote about a Next Generation Automation and focused on five primary drivers of advanced automation: the automation of knowledge work, advanced robotics, autonomous vehicles, the Internet of Things, and the mobile Internet. A McKinsey report from that period sized five disruptive technologies that could have an economic impact between $14 and $30 trillion. How much have we accomplished exactly seven years since that Blog post was written?

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Innovation In The Education Space

A great video describing innovation in the education space. Special thanks to April Harris for pulling together another impactful video! Join the conversation on this and other topics by visiting the Reimagining the Future YouTube Channel.