On Thu, Mar 19, 2015 at 05:53:40PM +0800, Ben Goertzel via AGI wrote: > > Your optimism is appreciated, but that's not how the fund world works. > > Institutional investors need 2 years of track record from a quant fund > > before they'll really take it seriously. A fund started with a few > > million dollars, with a good track record, can get up to $50M or $100M in > > its first year if all goes well. And like any other startup, an AI based > > investment management firm has to reach a certain level of maturity before > > it's possible for a co-founder to turn their equity stake into cash. Like > > many things, these processes are fast on the cosmic time scale but not all > > that fast in the scope of a person's everyday life !! > > > > -- ben > > > > OTOH, with a few years good track record, one can grow a fund into a > multibillion or even tens of billions of dollars fund. If you have > $10B under management and get 20% carry on 20% profits, then that's > $400M profit per year for the management company which is reasonably > tidy by most standards. So there's definitely massive growth > potential if the predictions are good enough, which our tests suggest > they will be.... Fingers crossed... > hmmm, yes that would be nice.
my understanding is that most trading nowadays is done by AI's, though likely somewhat narrower than OpenCog generally. However since there is such big money in it, I wouldn't be surprised if some hedge funds have teams of programmers, to squeeze every last morsel out of the stock market. as you likely know, the playing field of stock markets, is fairly level for AI. Even if the AGI part does pay off, in some time the others will catch up. so may have to hire your own team of programmers, just to keep ahead of the game. based on my research, the most lucrative businesses are holding companies. so if you do get some hundred millions, may make sense to buy up some smaller AGI firms, or vertically integrate with perhaps some semiconductor factories. Can probably get better performance running neural nets on FPGA's than CPU's or even GPU's. Hsinchu and Shanghai have the most fabs atm, so would be the cheapest places for semi-conductor work. All in all, I hope you stick to the Libre ideals, and continue to maintain the AGPL version of OpenCog, and if you get into semi-conductors that they will be open-standard libre-toolchain. which is sorely lacking from the current FPGA makers. from Logan ya ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
