🔮 AI is just beginning; global governance; the returns on deep learning; AI pay goes exponential, dolphin people & ketamine++ #162

🔮 AI is just beginning; global governance; the returns on deep learning; AI pay goes exponential, dolphin people & ketamine++ #162

😎 Summer is here! And you’ve got a bumper issue of Exponential View. Find a hammock in some shade, and enjoy it! Get all the way to the end, you won’t be disappointed.

Dept of the near future

🔮 The AI revolution hasn’t happened, yet. Long, must-read: we need a 'human-centric engineering discipline' to ensure that what we develop helps humans flourish.

💸  Advanced AI techniques (such as deep learning and reinforcement learning) could unlock around $5 trillion of value annually across multiple industries according to the McKinsey Global Institute. (See also, demographics matter: in low-population growth nations, like those of Eastern Europe, robots are filling gaps in employment.)

🔑 Steve Sinofsky: New breakthroughs can’t do new things in old ways. What incumbents and commentators get wrong about step-change innovations.

🔥 We must regulate modern cyber warfare before these e-skirmishes turn into hot wars (and before our AI systems get more capable), argue Luciano Floridi & Mariarosaria Taddeo.

💊 Bill Gates: CRISPR could help humanity overcome some of the biggest and most persistent challenges in global health & development. (See also: Goldman Sachs notes that gene therapies that cure patients could challenge the business models of firms dependent on recurrent sales of drugs.)

Dept of states and sovreignty

There is a notion worth revisiting: are nation states nearing their end as our preferred scale of the political and socio-economic organisation? This idea lies in contrast with the “end of history” theory of modernity.

I’ve found the question of evolving the nation-state fascinating since the early 1990s when I first came across ideas of decentralised forms of organisation enabled by new electronic networks (and was contemporaneously studying political institutions and models of governance).

Of course, recently we've seen resurgent nationalism in Turkey, the US, Britain, Hungary and many other places. This might challenge the 'end of the nation-state' thesis, this nationalism is a sort of reversion to the mean. But could it, instead, be the febrile twitching that presages rigor mortis?

Rana Dasgupta argues this compellingly:

20th-century political structures are drowning in a 21st-century ocean of deregulated finance, autonomous technology, religious militancy and great-power rivalry. Meanwhile, the suppressed consequences of 20th-century recklessness in the once-colonised world are erupting, cracking nations into fragments and forcing populations into post-national solidarities

As I’ve argued in Exponential View and elsewhere, we increasingly need to adapt our existing institutions or invent new ones in order to cope with the changes in our economies, demographics, natural resources and climate.

As Dasgputa concludes: “This is not a small endeavour: it will take the better part of this century. We do not know yet where it will lead.”

One example is the relationship between the corporation and the states, and the balance between their power. Almost a decade ago my friend and researcher, Stephanie Hare, introduced me to the idea of ‘corporate foreign policy’, the notion that states needed to formally recognise that the emerging dominance of technology platforms merited a formal quasi-diplomatic status. Some years later, the forward-thinking Danes appointed Casper Klynge as the world’s first Technology Ambassador, in the vein first described to me by Stephanie several years earlier.

In other cases, governments seem unwilling or incapable to execute on their duties - for example, maintaining their integrity in the face of or responses to cyber attacks (which are not really any different from other types of hostility). In those situations, private corporations are stepping in to fill or exploit the vacuum.

Some interesting points have emerged in the past few weeks:

Dept of artificial intelligence

I’ve written previously about how Moore’s Law is petering out, and argued that the demands of AI will provide the correct incentives to drive chip performance. Now some analysts have coined Huang’s Law (after Jensen Huang, founder of Nvidia) articulating this one mechanism to explain why we continue to see faster-than-Moore’s Law progress in processor power/performance.

Facebook is developing its own chips. They could use the chips to power hardware devices, artificial intelligence software and servers in its data centers. (The company joins Google, Apple, Amazon and Microsoft in now developing their own chips optimised for AI applications, alongside more than a dozen new entrants.)

Several EV readers were involved in the UK’s House of Lords AI report. Available in depth here. A good summary is here.

❗The IEEE wants to understand the perspectives of female A/IS practitioners from a cultural and technological standpoint. Participate in the survey HERE.

💯 We are already all cyborgs: Fascinating profile of philosopher Andy Clark, a key proponent of the extended mind hypothesis.

Nearly 60% of corporate execs have no dedicated investments or plans to retrain their staff as legacy jobs are eroded by automation.

The FDA approved first AI diagnostic device that doesn’t need a specialist to interpret the results.

🤖 After few failed attempts robots put together an Ikea chair in 8 minutes.

Short morsels to appear smart at dinner parties

Top AI researchers are being paid more than $1m a year. (Elsewhere, the median annual pay at McDonald’s is $7k, at Facebook $240k.)

Brilliant physicist, Carlo Rovelli, on the meaning of time. (FT paywall)

How decentralised are crypto networks? (Remarkable data set.)

Bitcoin declared compliant with Sharia law.

🌊  Bajau sea nomads (humans) have evolved for deeper, longer diving.

Chief execs with broad, wide networks create more firm value.

Russian had to block 16m IP addresses to ban Telegram.

😷  The average cost of stem-cell treatment is between $7,500-$10,000.

♻️ Scientists accidentally created an enzyme that eats PET.

Hackers stole casino’s database through a fish tank thermometer.

😍 Britain went 55 hours without burning any coal. A new record.

End note

As I may have mentioned previously, I’m looking for breakthrough thinkers in the AI domain for The Cutting Edge, the future stream of London’s CogX AI Festival on June 11-12. I’m particularly interested in finding anyone building novel chips or tools for AI systems; new research frontiers beyond deep learning (e.g. evolutionary approaches, reinforcement learning, symbolic approaches, reasoning etc.) as well as breakthrough applications of the technology (for examples, in areas like disease detection, materials science, manufacturing, decision making, simulation & more.)

The schedule is pretty packed, but if you know a researcher, engineer, analyst or storyteller, doing amazing work in this area, please let me know.

P.S. As the summer is approaching, recommend Exponential View to your friends who are planning active vacations—it's an enriching read for the warmest months. Twitter counts, too.


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