Bolt, Volt, and Tesla: The Experience and Ethics of Electrified Transportation

June 1, 2018June 4, 2018 Mark DavisLeave a comment

I have now owned a triumvirate of electric/hybrid vehicles since 2012. The quest began with a Chevy Volt in 2012 that we still own but that is used by our son in college. I recently worked with him to replace tires and windshield wipers on the vehicle, which is otherwise still rolling along despite a mild fender bender when he slid into another vehicle on a snowy night. The Bolt is the newest member of the grouping, serving as my wife’s daily driver but only accumulating 1500 miles since arriving via flatbed last October. And then there are the Teslas. The first, a Model S P85, was around number 4000 off the Fremont assembly line in early 2013, with the second taking its place in early 2016.

So has it been worth it? Yes, absolutely, but with caveats, operationally and ethically, as you will see.

First, the vehicles have been paired with photovoltaic systems, a 10kW system with microinverters in Cali and now an 8kW system at our remodeled southwestern abode. This helps to offset any concerns that grid electricity may be less clean than modern, high-efficiency gasoline engines.

Second, there is range anxiety. As the name implies, it’s the fear of running out of charge that is just like running out of gas but with far fewer places to recharge than are available in the modern ecosystem of gas stations throughout the nation. Mostly, when doing everyday errand-running and brief trips out of town, range anxiety is not an issue. Freeways are manageable in the Tesla now that superchargers are available for large swaths of the United States, including recent arrivals near the relatively desolate area where I now live.… Read the rest

New Agile Governance

May 5, 2018May 6, 2018 Mark DavisLeave a comment

John Dickerson, in his excellent Atlantic article, The Presidency: The Hardest Job in the World, combines historical analysis with quotes and insights from presidents and past advisers to develop both a critique of the expectations of the role of president and how to achieve better results. The analysis lands on a few recommendations including improving the on-boarding process for new presidents and simplifying the role itself. Having and trusting one’s cabinet leads to better delegation of the impossible responsibilities of the role. Maybe outsourcing the ceremonial aspects of the job to the VP or First Lady would allow the president to concentrate on policymaking and national security flare ups.

While all are reasonable suggestions, resetting expectations about the role of the executive branch should be balanced against reforming the legislative branch in parallel. If both are to be empowered to serve the public’s will with grace and intellect, they face concomitant challenges in overcoming the partisanship and influences of monied interests that have made them unresponsive to the people. Polls show that the public wants reduced health care costs, reasonable gun regulations, humane immigration policies, and an opening of rights for gays and marijuana consumers. But none of these are delivered because they are too complex or politically toxic for Congress to successfully navigate.

Maybe the methodology is wrong. Not in the sense of the Constitution being wrong or in need of updating, but in the sense of how decision making and information gathering is managed through the legislative and executive branches. I’d like to propose an alternative that I will label New Agile Governance (NAG) for simplicity. NAG is based on the simple idea that tracks what Dickerson attributes to H.R.… Read the rest

Running, Ancient Roman Science, Arizona Dive Bars, and Lightning Machine Learning

April 29, 2018August 18, 2020 Mark DavisLeave a comment

I just returned from running in Chiricahua National Monument, Sedona, Painted Desert, and Petrified Forest National Park, taking advantage of the late spring before the heat becomes too intense. Even so, though I got to Massai Point in Chiricahua through 90+ degree canyons and had around a liter of water left, I still had to slow down and walk out after running short of liquid nourishment two-thirds down. There is an eerie, uncertain nausea that hits when hydration runs low under high stress. Cliffs and steep ravines take on a wolfish quality. The mind works to control feet against stumbling and the lips get serrated edges of parched skin that bite off without relieving the dryness.

I would remember that days later as I prepped to overnight with a wilderness permit in Petrified Forest only to discover that my Osprey Exos pack frame had somehow been bent, likely due to excessive manhandling by airport checked baggage weeks earlier. I considered my options and drove eighty miles to Flagstaff to replace the pack, then back again.

I arrived in time to join Dr. Richard Carrier in an unexpected dive bar in Holbrook, Arizona as the sunlight turned to amber and a platoon of Navajo pool sharks descended on the place for billiards and beers. I had read that Dr. Carrier would be stopping there and it was convenient to my next excursion, so I picked up signed copies of his new book, The Scientist in the Early Roman Empire, as well as his classic, On the Historicity of Jesus, that remains part of the controversial samizdat of so-called “Jesus mythicism.”

If there is a distinguishing characteristic of OHJ it is the application of Bayesian Theory to the problems of historical method.… Read the rest

Black and Gray Boxes with Autonomous Meta-Cognition

January 27, 2018January 28, 2018 Mark DavisLeave a comment

Vijay Pande of VC Andreessen Horowitz (who passed on my startups twice but, hey, it’s just business!) has a relevant article in New York Times concerning fears of the “black box” of deep learning and related methods: is the lack of explainability and limited capacity for interrogation of the underlying decision making a deal-breaker for applications to critical areas like medical diagnosis or parole decisions? His point is simple, and related to the previous post’s suggestion of the potential limitations of our capacity to truly understand many aspects of human cognition. Even the doctor may only be able to point to a nebulous collection of clinical experiences when it comes to certain observational aspects of their jobs, like in reading images for indicators of cancer. At least the algorithm has been trained on a significantly larger collection of data than the doctor could ever encounter in a professional lifetime.

So the human is almost as much a black box (maybe a gray box?) as the algorithm. One difference that needs to be considered, however, is that the deep learning algorithm might make unexpected errors when confronted with unexpected inputs. The classic example from the early history of artificial neural networks involved a DARPA test of detecting military tanks in photographs. The apocryphal to legendary formulation of the story is that there was a difference in the cloud cover between the tank images and the non-tank images. The end result was that the system performed spectacularly on the training and test data sets but then failed miserably on new data that lacked the cloud cover factor. I recalled this slightly differently recently and substituted film grain for the cloudiness. In any case, it became a discussion point about the limits of data-driven learning that showed how radically incorrect solutions could be created without careful understanding of how the systems work.… Read the rest

Deep Simulation in the Southern Hemisphere

December 27, 2017December 27, 2017 Mark DavisLeave a comment

I’m unusually behind in my postings due to travel. I’ve been prepping for and now deep inside a fresh pass through New Zealand after two years away. The complexity of the place seems to have a certain draw for me that has lured me back, yet again, to backcountry tramping amongst the volcanoes and glaciers, and to leasurely beachfront restaurants painted with eruptions of summer flowers fueled by the regular rains.

I recently wrote a technical proposal that rounded up a number of the most recent advances in deep learning neural networks. In each case, like with Google’s transformer architecture, there is a modest enhancement that is based on a realization of a deficit in the performance of one of two broad types of networks, recurrent and convolutional.

An old question is whether we learn anything about human cognition if we just simulate it using some kind of automatically learning mechanism. That is, if we use a model acquired through some kind of supervised or unsupervised learning, can we say we know anything about the original mind and its processes?

We can at least say that the learning methodology appears to be capable of achieving the technical result we were looking for. But it also might mean something a bit different: that there is not much more interesting going on in the original mind. In this radical corner sits the idea that cognitive processes in people are tactical responses left over from early human evolution. All you can learn from them is that they may be biased and tilted towards that early human condition, but beyond that things just are the way they turned out.

If we take this position, then, we might have to discard certain aspects of the social sciences.… Read the rest

The Universal Roots of Fantasyland

November 10, 2017November 28, 2017 Mark Davis1 Comment

Intellectual history and cultural criticism always teeters on the brink of totalism. So it was when Christopher Hitchens was forced to defend the hyperbolic subtitle of God Is Not Great: How Religion Poisons Everything. The complaint was always the same: everything, really? Or when Neil Postman downplayed the early tremors of the internet in his 1985 Amusing Ourselves to Death. Email couldn’t be anything more than another movement towards entertainment and celebrity. So it is no surprise that Kurt Andersen’s Fantasyland: How America Went Wrong: A 500-Year History is open to similar charges.

Andersen’s thesis is easily digestible: we built a country on fantasies. From the earliest charismatic stirrings of the Puritans to the patent medicines of the 19th century, through to the counterculture of the 1960s, and now with an incoherent insult comedian and showman as president, America has thrived on inventing wild, fantastical narratives that coalesce into movements. Andersen’s detailed analysis is breathtaking as he pulls together everything from linguistic drift to the psychology of magical thinking to justify his thesis.

Yet his thesis might be too narrow. It is not a uniquely American phenomenon. When Andersen mentions cosplay, he fails to identify its Japanese contributions, including the word itself. In the California Gold Rush, he sees economic fantasies driving a generation to unmoor themselves from their merely average lives. Yet the conquistadores had sought to enrich themselves, God, and country while Americans were forming their shining cities on hills. And in mid-19th-century Europe, while the Americans panned in the Sierra, romanticism was throwing off the oppressive yoke of Enlightenment rationality as the West became increasingly exposed to enigmatic Asian cultures. By the 20th century, Weimar Berlin was a hotbed of cultural fantasies that dovetailed with the rise of Nazism and a fantastical theory of race, German volk culture, and Indo-European mysticism.… Read the rest

I, Robot and Us

October 21, 2017October 21, 2017 Mark DavisLeave a comment

What happens if artificial intelligence (AI) technologies become significant economic players? The topic has come up in various ways for the past thirty years, perhaps longer. One model, the so-called technological singularity, posits that self-improving machines may be capable of a level of knowledge generation and disruption that will eliminate humans from economic participation. How far out this singularity might be is a matter of speculation, but I have my doubts that we really understand intelligence enough to start worrying about the impacts of such radical change.

Barring something essentially unknowable because we lack sufficient priors to make an informed guess, we can use evidence of the impact of mechanization on certain economic sectors, like agribusiness or transportation manufacturing, to try to plot out how mechanization might impact other sectors. Aghion, Jones, and Jones’ Artificial Intelligence and Economic Growth, takes a deep dive into the topic. The math is not particularly hard, though the reasons for many of the equations are tied up in macro and microeconomic theory that requires a specialist’s understanding to fully grok.

Of special interest are the potential limiting role of inputs and organizational competition. For instance, automation speed-ups may be limited by human limitations within the economic activity. This may extend even further due to fundamental limitations of physics for a given activity. The pointed example is that power plants are limited by thermodynamics; no amount of additional mechanization can change that. Other factors related to inputs or the complexity of a certain stage of production may also drag economic growth to a capped, limiting level.

Organizational competition and intellectual property considerations come into play, as well. While the authors suggest that corporations will remain relevant, they should become more horizontal by eliminating much of the middle tier of management and outsourcing components of their productivity.… Read the rest

Simulator Superputz

September 25, 2017September 26, 2017 Mark DavisLeave a comment

The simulation hypothesis is perhaps a bit more interesting than how to add clusters of neural network nodes to do a simple reference resolution task, but it is also less testable. This is the nature of big questions since they would otherwise have been resolved by now. Nevertheless, some theory and experimental analysis has been undertaken for the question of whether or not we are living in a simulation, all based on an assumption that the strangeness of quantum and relativistic realities might be a result of limited computing power in the grand simulator machine. For instance, in a virtual reality game, only the walls that you, as a player, can see need to be calculated and rendered. The other walls that are out of sight exist only as a virtual map in the computer’s memory or persisted to longer-term storage. Likewise, the behavior of virtual microscopic phenomena need not be calculated insofar as the macroscopic results can be rendered, like the fire patterns in a virtual torch.

So one way of explaining physics conundrums like delayed choice quantum erasers, Bell’s inequality, or ER = EPR might be to claim that these sorts of phenomena are the results of a low-fidelity simulation necessitated by the limits of the simulator computer. I think the likelihood that this is true is low, however, because we can imagine that there exists an infinitely large cosmos that merely includes our universe simulation as a mote within it. Low-fidelity simulation constraints might give experimental guidance, but the results could also be supported by just living with the indeterminacy and non-locality as fundamental features of our universe.

It’s worth considering, however, what we should think about the nature of the simulator given this potentially devious (and poorly coded) little Matrix that we find ourselves trapped in?… Read the rest

Ambiguously Slobbering Dogs

September 14, 2017September 14, 2017 Mark DavisLeave a comment

I was initially dismissive of this note from Google Research on improving machine translation via Deep Learning Networks by adding in a sentence-level network. My goodness, they’ve rediscovered anaphora and co-reference resolution! Next thing they will try is some kind of network-based slot-filler ontology to carry gender metadata. But their goal was to add a framework to their existing recurrent neural network architecture that would support a weak, sentence-level resolution of translational ambiguities while still allowing the TPU/GPU accelerators they have created to function efficiently. It’s a hack, but one that potentially solves yet another corner of the translation problem and might result in a few percent further improvements in the quality of the translation.

But consider the following sentences:

The dog had the ball. It was covered with slobber.

The dog had the ball. It was thinking about lunch while it played.

In these cases, the anaphora gets resolved by semantics and the resolution seems largely an automatic and subconscious process to us as native speakers. If we had to translate these into a second language, however, we would be able to articulate that there are specific reasons for correctly assigning the “It” to the ball in the first two sentences. Well, it might be possible for the dog to be covered with slobber, but we would guess the sentence writer would intentionally avoid that ambiguity. The second set of sentences could conceivably be ambiguous if, in the broader context, the ball was some intelligent entity controlling the dog. Still, when our guesses are limited to the sentence pairs in isolation we would assign the obvious interpretations. Moreover, we can resolve giant, honking passage-level ambiguities with ease, where the author is showing off in not resolving the co-referents until obscenely late in the text.… Read the rest