“Las computadoras han aprendido a conducir automóviles y entender el habla humana mucho más rápido de lo que anticipábamos que lo harían hace una década. Las capacidades que permiten a las computadoras hacer esas cosas también les permitirán hacer muchas otras tareas, ahora en manos de personas. Incluso si la inteligencia de la máquina mejora a un ritmo modesto en las próximas décadas, la cantidad de trabajo que pueden hacer las máquinas crecerá enormemente. Otro factor es, irónicamente, el estancamiento de los salarios. Veo un crecimiento débil en los salarios como evidencia que apunta a un exceso de mano de obra, donde es demasiado poco trabajo bueno”
Existe la dependencia que tiene toda la industria digital del mineral llamado coltán, que se produce mayoritariamente en la República del Congo. … Sí, ese es un de los temas que toca este artículo. Pero la verdad es que se pasea por casi todos … ; y también aborda lo que hoy está sucediendo en Chile … Es mucho … pero igual [AP]
Move over Dogecoin: the Herncoin is here. But what can making your own currency teach you about the world of bitcoin?
Bitcoin may have become a thing of fascination for the media very recently, but the digital currency actually celebrated its fifth birthday this month as its value hovered at around $1,000 per coin.
Bitcoin was never intended to be the one cryptocurrency to rule them all, because anyone can make their own version of it. The code which underpins the currency is released under what’s known as an open-source licence. Anyone can use it themselves, and alter any aspect they want, in order to create a whole new currency.
A whole class of alternative crypto-currencies, based on the fundamental aspects of bitcoin, have been created over the past couple of years. The first and biggest of the “altcoins”, called Litecoin, was created in 2011 to address some perceived flaws in the Bitcoin protocol.
Litecoin is much harder to build specialised “mining” machines for, which, according to its founders, prevents it from being dominated by a few rich miners. Additionally, it clears payments faster and has a much higher cap of 84m coins.
Since November 2011, Litecoin has tracked the value of Bitcoin fairly closely, but in December last year it spiked in value. Overnight, a Litecoin was worth 10 times what it had been before, and its total market cap now stands at $623m, around 16% of that of its parent.
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Incomprehensible computer behaviors have evolved out of high-frequency stock trading, and humans aren’t sure why. Eventually, it could start affecting high-tech warfare, too. We spoke with a researcher at University of Miami who thinks humans will be outpaced by a new “machine ecology.”
For all intents and purposes, this genesis of this new world began in 2006 with the introduction of legislation which made high frequency stock trading a viable option. This form of rapid-fire trading involves algorithms, or bots, that can make decisions on the order of milliseconds (ms). By contrast, it takes a human at least one full second to both recognize and react to potential danger. Consequently, humans are progressively being left out of the trading loop.
And indeed, it’s a realm that’s rapidly expanding. For example, a new dedicated transatlantic cable is being built between US and UK traders that could boost transaction speed by another 5 ms. In addition, the new purpose-built chip iX-eCute is being launched which can prepare trades in an astounding 740 nanoseconds.
Virtual predators and prey
The problem, however, is that this new digital environment features agents that are not only making decisions faster than we can comprehend, they are also making decisions in a way that defies traditional theories of finance. In other words, it has taken on the form of a machine ecology — one that includes virtual predators and prey.
Consequently, computer scientists are taking an ecological perspective by looking at the new environment in terms of a competitive population of adaptive trading agents.