In our previous post we examined how prospect theory helps explain why so many American voters were willing to risk voting for such a manifestly unqualified candidate for President as Donald Trump. Of course what citizens who are willing to take these risks fail to understand, as the artificial intelligence and decision theory expert Eliezer Yudkowsky writes on his Facebook page, is “how there’s a level of politics that’s theater and a level of politics that’s deadly serious.” For example, it’s deadly serious when a President talks about scrapping the NATO alliance or using nuclear weapons. In such cases you would hope that competent and conscientious people exercise power in the international relations realm.
There is plenty of analysis on why Trump narrowly won the crucial states that gave him an electoral college victory—Wisconsin, Pennsylvania, Michigan—even though Clinton won the popular vote by more than 2.5 million votes. But what was particularly striking was how, even if we control for race and income, educational levels best predict how people voted in the election. Of course this was expected, but I was shocked by how much a difference education made in terms of voter preference.
It will be a long time into the future before we will know just what this election ultimately meant. What is perhaps more clear, even if we avoid donning the rose colored glasses of hindsight, is that the seeds that sprouted in 2016 were a long time- a- growing. They might even have been anticipated as far back as the culture wars that exploded onto the scene in the late 1960’s. More on that in a moment.
Like most of my readers, I am devastated by the 2016 American Presidential election results (and by the Congressional election results as well.) I have waited a few weeks to write about it so as not to be reacting too emotionally to the results. Since that time my usual focus on philosophy has faded into the background as the country in which I was born and lived all of my life finds itself in perhaps its greatest existential crisis.
Le Cybathlon inaugure les premiers “JO de cyborgs”. Une vitrine technologique pour l’aide au handicap, mais aussi la perspectives d’application futures plus larges. C’est par ailleurs une invitation à repenser nos catégories sportives.
At the intersection of cryptocurrencies and the “gig economy” lies the prospect of almost self-contained shadow economies with their own laws and regulations, vast potential for fostering growth, and the possibility of systematic abuse.
Biogerontology Research Foundation trustees will attend The Economist conference Ageing Societies 2016 on 29-30th November in London.
Biogerontology Research Foundation UK executives and trustees Dmitry Kaminskiy and Alex Zhavoronkov will attend panel discussions at the Aging Societies conference 2016, organized by The Economist, in London, United Kingdom on November 29-30th 2016.
There is no doubt anymore that informational science and technologies are growing at an exponential pace. As a result, many are beginning to use those technologies to augment and enhance their own biological substrate. It is the first time in history where there is now a growing population of cyborgs whom live among us.
For the first time in a quarter-century, we’re about to see a vacuum of political and intellectual leadership in the Democratic Party. An entire generation of leaders — including Barack Obama, Joe Biden, and Bill and Hillary Clinton — will be leaving the political stage. With them will go an entire infrastructure of policy advisers, political strategists, associates, friends, and hangers-on.
So, literally overnight, we entered the stage of the great normalization. We’ve gone from the almost universal belief among the elites, media and a large number of the American public that electing Trump would be a disaster for the country, the economy, our liberty to an apparent shrug of the shoulders and sycophantic search for advantage in the new order.
As Donald Trump prepares to assume the presidency, Americans must learn to distinguish the ways he is uniquely terrible from the ways in which he is not so terribly unique — except as a matter of degree. His extreme behavior shouldn’t be “normalized,” to use the year’s newest word. But neither should the lies and deceptions of his more “respectable” colleagues.
I voted today and in spite of all the cynicism of my fellow citizens, I enjoyed it. I love going to my local polling place. I live in the mountains and have the luxury of knowing the people who work there, bumping into neighbors and never, ever having to wait in line. We may be the middle of nowhere, but our polling place rocks. Every vote of mine felt good, even the presidency. Those of you who follow my blog know I’m pro third party, so yes, I voted my conscience today, but more over I also got to vote for a US Senator, US Congressperson, State Assembly and TONS of ballot measures (I live in Cali—we had over 17 propositions!)
Toute une série d’articles de presse reprennent régulièrement ce thème vendeur des « robots tueurs d’emplois » : « Les robots, le chômage et les emplois de 2030 » (France Info, 10/05/2015), « Robots au travail : 3 millions d’emplois menacés en France d’ici 2025 » (La Voix du Nord, 25/05/2016)… En même temps, d’autres vont insister sur les nouveaux emplois créés (ingénieur-e-s, technicien-nes…) et soutenir qu’il n’y a pas de crainte à avoir : « Des centaines de milliers d’emplois créés par la robotique » (Monster, 16/04/2015), « La vérité sur les robots destructeurs d’emplois » (Slate, 06/06/2016).
Since its inception, the field of existential risk studies has recognized “bad governance” as an important factor that could modulate overall existential risk — or constitute an existential risk in its own right, if such governance were to gain global control.
In the aftermath of Donald Trump’s election, various class-struggle leftists have been emphasizing neoliberalism as the culprit and highlighting the plight of the white working class. Proponents of these analyses exhort us to organize with the white working class for economic justice as a key component of antiracism.