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* Computer to map every detail possible
* Aims to predict where we're heading
* EU funding to tune of $1.5 billion
IT'S like the real-life version of popular video game Sim Earth, in which players build and manage their own planet.
This week, the world's leading techno-socio-economic guru Dirk Helbing outlined his vision of the Earth's future, or rather, the means to acquire it.
At a cost of $1.5bn, the Living Earth Simulator will gather as much data about humanity as possible, mining every available source to produce a picture of where we're at and where we're
Originally posted by ventian
Well if used in a good manner, it could predict crime.
The main concerns are not for how the Living Earth Simulator will be used, but for how it could be misused.
For global financial companies, it could be a goldmine.
Originally posted by belial259
Can a $1.5bn supercomputer enslave humanity?
This computer is just the ball and chain
that goes on the remaining ankle.
Originally posted by muzzleflash
1.5 billion $ could save humanity.
If we spent it on food, improving production, safety etc.
So dropping it all on a single computer that will be obsolete in 5years is a HUGE waste, imo.
BTW As a kid I was a HUGE Sim Earth fan! One of my favorite games from way back in the day!
[edit on 5-5-2010 by muzzleflash]
Originally posted by toreishi
why do we need a computer to tell us what to do? does this mean that we're simply too stupid to come up with solutions to our own problems (which we created, in the first place)? if we become dependent on this computer and how it tells us to live our lives, what are we to do if it does a "blue-screen" on us? twiddle our thumbs?
In electronic financial markets, algorithmic trading or automated trading, also known as algo trading, black-box trading or robo trading, is the use of computer programs for entering trading orders with the computer algorithm deciding on aspects of the order such as the timing, price, or quantity of the order, or in many cases initiating the order without human intervention. Algorithmic Trading is widely used by pension funds, mutual funds, and other buy side (investor driven) institutional traders, to divide large trades into several smaller trades in order to manage market impact, and risk. Sell side traders, such as market makers and some hedge funds, provide liquidity to the market, generating and executing orders automatically. A special class of algorithmic trading is "high-frequency trading" (HFT), in which computers make elaborate decisions to initiate orders based on information that is received electronically, before human traders are capable of processing the information they observe. As in the famed chess match between a human chess player and a computer, computers once again demonstrate their ability to outperform human traders. In addition to ultra-fast information processing, computers reduce costs of trading and improve shareholder returns.
Algorithmic trading may be used in any investment strategy, including market making, inter-market spreading, arbitrage, or pure speculation (including trend following). The investment decision and implementation may be augmented at any stage with algorithmic support or may operate completely automatically ("on auto-pilot").
A third of all EU and US stock trades in 2006 were driven by automatic programs, or algorithms, according to Boston-based financial services industry research and consulting firm Aite Group. As of 2009, high frequency trading firms account for 73% of all US equity trading volume.
In 2006 at the London Stock Exchange, over 40% of all orders were entered by algo traders, with 60% predicted for 2007. American markets and equity markets generally have a higher proportion of algo trades than other markets, and estimates for 2008 range as high as an 80% proportion in some markets. Foreign exchange markets also have active algo trading (about 25% of orders in 2006). Futures and options markets are considered to be fairly easily integrated into algorithmic trading, with about 20% of options volume expected to be computer generated by 2010. Bond markets are moving toward more access to algorithmic traders.
One of the main issues regarding high frequency trading is the difficulty in determining just how profitable it is. A report released in August 2009 by the TABB Group, a financial services industry research firm, estimated that the 300 securities firms and hedge funds that specialize in rapid fire algorithmic trading took in roughly $21 billion in profits in 2008
"These include books (fiction, nonfiction, technical), technical manuals, technical or other scholarly journals and their papers, magazines, and newspapers. In addition, corporations, governments, militaries, and other organizations have private documents such as memoranda and email messages."
"Other technologies, such as cell phones, have led to even more arcane documents and languages, such as the hyper-abbreviated lingo of instant messaging."
"... naturally occurring speech can be converted to text and has many analogs to written document forms. Formal speech can include lectures, newscasts, and oral 'articles'. Less formal speech is found in phone conversations, in-person conversations, multi-person teleconferences, voicemail messages, etc."
Originally posted by belial259
Originally posted by ventian
Well if used in a good manner, it could predict crime.
So we'd be charged for crimes before we committed them?