Max Tegmark

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A hammer is a tool or a weapon depending on how you swing it, and the more powerful the tool, the more powerful the weapon.

Technology that excels at data-collection and surveillance will be used to those ends in the best of times and will be employed in a harsh, even tyrannical, manner in the worst of times. The competing agendas among individuals, corporations and states almost demand it. I’m not suggesting Digital Leninism is the only possible future in our increasingly algorithmic world, but I do think determinism is embedded to some degree in technology, which can lead as well as follow. And there will be no plugs to pull if things to don’t go as planned, and even if there were, yanking them from the wall would be the end of us as surely as it would our machines. 

Yuval Noah Harari dissents from that view in a recent Guardian review of Max Tegmark’s Life 3.0, asserting that technology is what we make it. Even if that is true, take one good look at us and worry. The opening:

Artificial intelligence will probably be the most important agent of change in the 21st century. It will transform our economy, our culture, our politics and even our own bodies and minds in ways most people can hardly imagine. If you hear a scenario about the world in 2050 and it sounds like science fiction, it is probably wrong; but if you hear a scenario about the world in 2050 and it does not sound like science fiction, it is certainly wrong.

Technology is never deterministic: it can be used to create very different kinds of society. In the 20th century, trains, electricity and radio were used to fashion Nazi and communist dictatorships, but also to foster liberal democracies and free markets. In the 21st century, AI will open up an even wider spectrum of possibilities. Deciding which of these to realise may well be the most important choice humankind will have to make in the coming decades.

This choice is not a matter of engineering or science. It is a matter of politics. Hence it is not something we can leave to Silicon Valley – it should be among the most important items on our political agenda. Unfortunately, AI has so far hardly registered on our political radar. It has not been a major subject in any election campaign, and most parties, politicians and voters seem to have no opinion about it. This is largely because most people have only a very dim and limited understanding of machine learning, neural networks and artificial intelligence. (Most generally held ideas about AI come from SF movies such as The Terminator and The Matrix.) Without a better understanding of the field, we cannot comprehend the dilemmas we are facing: when science becomes politics, scientific ignorance becomes a recipe for political disaster.

Max Tegmark’s Life 3.0 tries to rectify the situation. Written in an accessible and engaging style, and aimed at the general public, the book offers a political and philosophical map of the promises and perils of the AI revolution. Instead of pushing any one agenda or prediction, Tegmark seeks to cover as much ground as possible, reviewing a wide variety of scenarios concerning the impact of AI on the job market, warfare and political  systems.

Life 3.0 does a good job of clarifying basic terms and key debates, and in dispelling common myths. While science fiction has caused many people to worry about evil robots, for instance, Tegmark rightly emphasises that the real problem is with the unforeseen consequences of developing highly competent AI. Artificial intelligence need not be evil and need not be encased in a robotic frame in order to wreak havoc. In Tegmark’s words, “the real risk with artificial general intelligence isn’t malice but competence. A superintelligent AI will be extremely good at accomplishing its goals, and if those goals aren’t aligned with ours, we’re in trouble.”•

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“The future is speeding at us, and it’s almost abusive how deeply cynical both sides are,” the Republican political consultant Rick Wilson recently said, speaking of the response from his party and the Democrats to manufacturing and automation. Specifically, he was referring to how the Trump Administration has promised a return to glory for plants and mines and the Democrats belief that every worker formerly on the assembly line can be upskilled into a software engineer. I doubt most conservatives beyond Trump believe the former and it’s dubious the majority of Democrats believe the latter. Those ideas, however, have been prominent in the last year.

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The idea that robotics will displace many American workers is true now as it has been for at least a century. As long as there have been machines, really, they’ve always gradually taken over some work as new opportunities were created. The question is whether we’re on the verge of an AI boom that will speed this transition beyond management. Such rapid progress would mean we’re becoming wealthy in the aggregate, but distribution would likely be a huge problem. That’s why so many in the tech field have suggested a Universal Basic Income, something for everyone, not just a reverse tax credit to boost the less fortunate from poverty. But while this work-less future is possible, it seems far from plausible. 

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Currently there’s wide agreement on all sides that production numbers don’t show a radical expansion of technology displacing workers and boosting output. The only caution is that advances are sometimes overpromised, then ridiculed and then they deliver in a massive way. Not so with cold fusion, but that certainly was the case with computers and the Internet.

In 1985, the lively New York Times reporter Erik Sandberg-Diment sarcastically eulogized the laptop, laughing at what Silicon Valley had believed could be the future. The opening:

“WHATEVER happened to the laptop computer? Two years ago, on my flight to Las Vegas for Comdex, the annual microcomputer trade show, every second or third passenger pulled out a portable, ostensibly to work, but more likely to demonstrate an ability to keep up with the latest fad. Last year, only a couple of these computers could be seen on the fold-down trays. This year, every one of them had been replaced by the more traditional mixed drink or beer.

Was the laptop dream an illusion, then?

Imagine his humbling just two decades later when the Feynman’s “Plenty of Room at the Bottom” theory was proven correct and the iPhone was introduced.

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Robots will show up in China just in time,” Daniel Kahneman has said. In order to sustain its giant population, China will need robotics on a mass scale. It’s neighbor Japan will probably require automation on a much grander scale despite a much smaller population. An ardently anti-immigrant country with a graying citizenry, Japan is among the states that could be asking an inverse question: What will happen if robots don’t take all the jobs?

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My best guess is that there will always be work to do in the future, but sometimes not enough. Not every job needs to disappear to destabilize society in a serious way, just enough. If entire industries vanish into the zeros and ones in too fast a fashion the way video stores across America were decimated by Netflix’s 3,500 employees and endless algorithms (and, yes, I define algorithms as robots), that can leave sectors in the dust. Many of those positions at first will be lousy jobs (e.g., truck driver), but that doesn’t mean those already settled into such careers will have an easy time of it. AI may not be an avalanche that crushes us all, but it could be a continuous series of small earthquakes.

Two excerpts on opposite sides of the argument follow.

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An exchange about a potential AI revolution from a Reddit AMA by Life 3.0 author Max Tegmark:

Question:

Do you believe AI will take over the majority of “menial” jobs within the working world, and if so how will we as people adjust to support those who would have been employed within those positions?

Max Tegmark:

Not only menial jobs, but also many jobs that require lots of training for us humans, such as analyzing radiology images to determine whether patients have cancer. To safeguard your career, go for jobs that machines are bad at – involving people, unpredictability and creativity. Avoid careers about to get automated away, involving repetitive or structured actions in a predictable setting. Telemarketers, warehouse workers, cashiers, train operators, bakers or line cooks. Drivers of trucks, buses, taxis and Uber/Lyft cars are likely to follow soon. There are many more professions (including paralegals, credit analysts, loan officers, bookkeepers and tax accountants) that, although they aren’t on the endangered list for full extinction, are getting most of their tasks automated and therefore demand much fewer humans. I give more detailed job advice in Chapter 3 of my new book. If machines becomes able to do all our jobs in a few decades, that doesn’t have to spell doom and gloom as is commonly assumed. It could give everyone who wanted a life of leisure and play if we as a society share the vast new wealth produced by machines in a way such that nobody gets worse off. The’ll be plenty enough resources to do this, but whether there’s the political will is another matter, and currently I feel that things are moving in the opposite direction in the US and most western countries, with the large groups of people getting steadily poorer in real terms – creating anger which helps explain the victories of Trump & Brexit.•

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From Nicholas Carr’s latest Rough Type rebuttal to the idea that the robots are coming for us:

You can see the robot age everywhere but in the labor statistics, I wrote a few months ago, channeling Robert Solow. The popular and often alarming predictions of a looming unemployment crisis, one that would stem from rapid advances in robotics, artificial intelligence, and other computer automation technologies, have become increasingly hard to square with the economy’s rebound to near full employment. If computers were going to devastate jobs on a broad scale, one would think there’d be signs of it by now. We have, after all, been seeing remarkable gains in computing and software for many decades, while the broadband internet has been working its putative magic for more than twenty years. And it’s not like a shortage of corporate cash is curtailing investment in technology. Profits have been robust and capital cheap.

Still, even as jobs rebounded from the depths of the Great Recession, overall wage growth has appeared sluggish, at times stagnant. It has seemed possible that the weakness in wages might be the canary in the automated coal mine, an early indication of a coming surge in technological unemployment. If humans are increasingly competing for jobs against automatons, of both the hardware and software variety, that might explain workers’ inability to reap wage gains from a tightening labor market — and it might presage a broad shift of work from people to machines. At some point, if automation continued to put downward pressure on pay, workers would simply give up trying to compete with technology. The robots would win.

But even here, there’s growing reason to doubt the conventional wisdom.•

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MIT physics professor Max Tegmark just did a wide-ranging Ask Me Anything at Reddit, covering everything from future AI to the afterlife. A few exchanges follow.

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Question:

We haven’t been back to the moon in ages. We need to go back, right?

Max Tegmark:

If we want to go to Mars and beyond, going back to the Moon is the logical first step. I know it’s now as sexy (“been there, done that”), but it’s a great way to perfect required technologies and WAY easier.

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Question:

What do you think of the Alcubierre drive and Q-thrusters for interplanetary/interstellar travel? Do you think you will be able to buy a ticket to Mars within your lifetime?

Max Tegmark:

I’m betting against the Alcubierre drive but for the Mars ticket. I think the way to do Mars travel is to send people who volunteer to go on a one-way ticket, which is way cheaper. The current NASA obsession with bringing everyone back home safely makes it dramatically harder and costlier, and goes against the traditional spirit of exploration. I don’t think it will be that hard to find volunteers.

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Question:

Do you think there will an AI with consciousness in our lifetimes?

Max Tegmark:

I think superhuman AI in our lifetime is plausible – there’s certainly nothing in the laws of physics saying that intelligence requires carbon atoms.

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Question:

I have a question in connection with your recent statement saying that the “consciousness is the way information feels while it is being processed”. Soon enough some of our most advanced computers will have met all 4 requirements for a physical system to be conscious – in the light of the above, do you foresee any significant advances in the AI field within next 5-10 years?

Max Tegmark:

Yes, I foresee huge advances in AI during the coming decade. But we still don’t understand with confidence what makes an information-processing system feel conscious (have a subjective experience) as opposed to simply behaving as if it were conscious, and there’s great controversy here. For example, my neuroscientist friend and consciousness pioneer Giulio Tononi thinks that if you simulate me perfectly on a regular computer, I won’t be conscious, but rather a zombie whose behavior is indistinguishable from mine. I’m fascinated by these questions and look forward to doing further research on them.

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Question:

Is there an afterlife?

Max Tegmark:

I’m betting against it, unless you count getting uploaded/simulated, so I suggest living this life to the fullest!•

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