(Roughly) Daily

Posts Tagged ‘technology policy

“For every complex problem, there’s a solution that is simple, neat, and wrong”*…

Last year, in explaining the Biden Administration’s emerging new economic policy, National Security Advisor Jake Sullivan talked of a “small yard, high fence” approach to its trade with China. The idea: to place strict restrictions on a small number of technologies with significant military potential while maintaining normal economic exchange in other areas.

The estimable Henry Farrell argues that this approach to technology and China is working poorly (though, he suggests, it will work much worse if Trump wins and takes office in January). Self-reinforcing political feedback loops and self-reinforcing expectations are leading to breakdown.

The fundamental problem of managing geopolitics through manipulating technological trajectories is not readily solvable given existing means, Farrell suggests. We live in a much more complex world than existing state institutions are capable of handling. Therefore, he argues, we need to remake the state…

… Making the right choices in a complex policy environment requires an approach that is a world away from the application of brute force at scale. Your maps of the environment are going to be all wrong when you go in, and brute force is likely to have unexpected consequences. It isn’t just that you are going to make mistakes (you are), but your map of the actual problem you are trying to solve is likely to be utterly out of whack. As you try to catch up with China on EV, you discover that you don’t understand the market right. As you try to impose controls on military use of semiconductors, you find out that you don’t have the information you need to really actually understand how the semiconductor market works.

The problem – as Jen Pahlka’s book Recoding America explains at length – is that addressing such complex problems does not fit well with the way that the U.S. government works. When you are trying to impose order a vast sprawling bureaucracy, which is its own mid-sized global economy, and when your people don’t trust government much, you rely on rigid contracting systems, which define the problem in advance down to its finest details, even if that definition is out of whack with reality. You don’t build connections between the bureaucracy and outside actors, unless they run through cumbersome and rigidly pre-defined channels because it takes months or years to get approval for such connections. And you certainly don’t try to remake policy in realtime as your understanding of the situation changes. Pahlka’s book is cunningly disguised as an account of US software outsourcing practices. If it mentions either ‘national security’ or ‘economic security’ once, I don’t remember it. But it is arguably (along with Dan Davies’ similarly motivated The Unaccountability Machine) the most important book on these topics of the last twenty years. [Your correspondent heartily agrees.]…

… what do you do – is this. You start to think… about how to build economic security institutions that are designed from the ground up to manage complexity. If you want to take ‘small yard, high fence’ seriously as a policy approach, you need to build the apparatus to discover what lies inside, what lies outside, and what the barriers ought be. That apparatus – and its prescriptions – need to change over time both to match a better understanding of the policy environment, and changes in the environment itself.

And we don’t have the apparatus to actually implement small yard, high fence properly. Nor do we have it for pretty well every other plausible economic security policy you might imagine, short of a brute force decoupling of the U.S. and Chinese economies. And if you did that, you would need enormous capacity to manage the horrifically complex aftermath, if that aftermath could even be managed at all.

Clearly, it is far easier to make these arguments in the general than the particular. Saying that you need reforms is straightforward, but figuring out what they ought to be, let alone how to implement them in current political circumstances, is an altogether more difficult challenge. But it is where the debate needs to be going – and there is a role for technology in it. We are in a situation that rhymes in weird ways with the situation discovered by Vannevar Bush after World War II – recognizing that the needs of government had changed, that vastly better information and feedback systems were required to meet those needs, and that even if we didn’t exactly know what those systems were, we needed to start figuring them out, and quickly. That world had its pathologies. This one does too. But to prevent them becoming worse, we need better ways to manage them, and to ensure that the solutions are better than the problems that they are supposed to mitigate.

This is – obviously – a radical set of claims. But it’s one that is entailed by the diagnosis of the problem that I’ve presented. If we need to manage complex challenges – of which the U.S. China relationship is only one – we need a state that is capable of managing complexities. We don’t have one. And that remains a first order problem, regardless of however hawkish or dovish you are…

We need a new kind of state for the new geopolitics: “‘Small Yard, High Fence’: these four words conceal a mess,” from @himself.bsky.social (and @pahlkadot.bsky.social). Eminently worth reading in full.

* H.L. Mencken

###

As we ruminate on restructuring, we might recall that it was on this date in 1954 (7 years after the transistor was developed at Bell Labs) that Texas Instruments introduced the Regency TR-1, the first commercially-manufactured transistor radio. Its performance was mediocre, but its small size and portability drove sales of over 150,000 units.

Further to Farrell’s and Pahlka’s points, it’s instructive to ponder what became of the transistor radio as a product category (and of the competitors in it) over the next few decades– and the altogether-unanticipated plethora of small, convenient, hand-held product categories it spawned: calculators, mobile phones, tablets… and whatever comes next…

source

“The number of transistors on integrated circuits doubles approximately every two years”*…

 

Moore’s Law has held up almost astoundingly well…

 source (and larger version)

This seemingly inexorable march has enabled an extraordinary range of new products and services– from intercontinental ballistic missiles to global environmental monitoring systems and from smart phones to medical implants…  But researchers at Carnegie Mellon University are sounding an alarm…

The speed of our technology doubles every year, right? Not anymore. We’ve come to take for granted that as the years go on, computing technology gets faster, cheaper and more energy-efficient.

In their recent paper, “Science and research policy at the end of Moore’s law” published in Nature Electronics, however, Carnegie Mellon University researchers Hassan Khan, David Hounshell, and Erica Fuchs argue that future advancement in microprocessors faces new and unprecedented challenges…

In the seven decades following the invention of the transistor at Bell Labs, warnings about impending limits to miniaturization and the corresponding slow down of Moore’s Law have come regularly from industry observers and academic researchers. Despite these warnings, semiconductor technology continually progressed along the Moore’s Law trajectory. Khan, Hounshell, and Fuchs’ archival work and oral histories, however, make clear that times are changing.

“The current technological and structural challenges facing the industry are unprecedented and undermine the incentives for continued collective action in research and development,” the authors state in the paper, “which has underpinned the last 50 years of transformational worldwide economic growth and social advance.”

As the authors explain in their paper, progress in semiconductor technology is undergoing a seismic shift driven by changes in the underlying technology and product-end markets…

To continue advancing general purpose computing capabilities at reduced cost with economy-wide benefits will likely require entirely new semiconductor process and device technology.” explains Engineering and Public Policy graduate Hassan Khan. “The underlying science for this technology is as of yet unknown, and will require significant research funds – an order of magnitude more than is being invested today.”

The authors conclude by arguing that the lack of private incentives creates a case for greatly increased public funding and the need for leadership beyond traditional stakeholders. They suggest that funding is needed of $600 million dollars per year with 90% of those funds from public research dollars, and the rest most likely from defense agencies…

Read the complete summary at “Moore’s law has ended. What comes next?“; read the complete Nature article here.

* a paraphrase of Gordon’s Moore’s assertion– known as “Moore’s law”– in the thirty-fifth anniversary issue of Electronics magazine, published on April 19, 1965

###

As we pack ’em ever tighter, we might send carefully-computed birthday greetings to Thomas John Watson Sr.; he was born on this date in 1874.  A mentee of from John Henry Patterson’s at NCR, where Watson began his career, Watson became the chairman and CEO of the Computing-Tabulating-Recording Company (CTR), which, in 1924, he renamed International Business Machines– IBM.  He began using his famous motto– THINK– while still at NCR, but carried it with him to IBM…  where it became that corporation’s first trademark (in 1935).  That motto was the inspiration for the naming of the Thinkpad– and Watson himself (along with Sherlock’s Holmes’ trusty companion), for the naming of IBM’s Artificial Intelligence product.

 source

 

Written by (Roughly) Daily

February 17, 2018 at 1:01 am