Epstein Secrets

n of AGI, then how can we get it done? One option is that some wealthy individual comes up with a design for AGI himself, and pays to get it built Jeff Hawkins tried this, but unfortunately his idea isn't very good (http://numenta.com) It's basically like DeSTIN, and will never be more than a perceptual

N, and will never be more than a perceptual cortex. Another option is open-source development, like the way Linux was built We're trying this with OpenCog (http://opencog.org). But building AGI requires people with much more specialized expertise than building a "mere" computer operating system like L

e in Hong Kong that pay me money (not a lot, but enough to let me pay my kids' college tuition in the US, etc.). These other projects involve using OpenCog's machine learning software to analyze genetics data, and Hong Kong stock market data. But I go to the OpenCog AGI lab for a few hours every day, a

a small team working closely with me in a single location. Another option is that someone like Jeffrey Epstein, decides to fund an AGi project like OpenCog. So, summing up.... What would be a VERY GOOD avenue for getting from here to human-level AGI? -- Jeffrey Epstein funds the $350K OpenCog/Robokind

ch actions will help it achieve its goals.” HOUSE_OVERSIGHT_012925 10 1 Introduction This ties in with the ideas of many other thinkers, including Jeff Hawkins’ “memory/ predic- tion” theory [B06], and it also speaks directly to the formal characterization of intelligence presented in Chapter 7: general inte

ing used as the basis for an open-source software project called OpenCog, which is being worked on by software developers around the world. Right now OpenCog embodies only a percentage of the overall CogPrime design as described here. But if OpenCog continues to attract sufficient funding or volunteer inte

at the ideas presented here are not mere armchair speculation — they are currently being used as the basis for an open-source software project called OpenCog, which is being worked on by software developers around the world. Right now OpenCog embodies only a percentage of the overall CogPrime design as des

be validated or refuted via practice. (As a related note: here and there in this book, we will refer to the "current" CogPrime implementation (in the OpenCog framework); in all cases this refers to OpenCog as of late 2013.) To state one believes one knows a workable path to creating a human-level (and pot

p learning networks as a model of perception (and action and reinforcement learning), as embodied for example in the work of Itamar Arel EARC09] and Jeff Hawkins 11113061. The integrative diagram adopts this as the basic model of the perception and action subsystems of human intelligence. Language understand

pause to briefly discuss some of the practicalities of work done with the OpenCog system currently implementing parts of the CogPrime architecture. OpenCog, the open-source software framework underlying the "OpenCogPrime" (currently partial) implementation of the CogPrime architecture, has been used for

cessful, this will provide an outstanding platform for ongoing AGI development, as well as a visually appealing and immediately meaningful demo for OpenCog. Specific, particularly simple tasks that are the focus of this project team's current work at time of writing include: • Watch another character

ep learning networks as a model of perception (and action and reinforcement learning), as embodied for example in the work of Itamar Arel [ARC09] and Jeff Hawkins [HB06]. The integrative diagram adopts this as the basic model of the perception and action subsystems of human intelligence. Language understanding

the present work, it has also been used to control virtual agents in virtual worlds [GEA08]. Prototype work done during 2007-2008 involved using an OpenCog variant called the Open- PetBrain to control virtual dogs in a virtual world (see Figure 6.6 for a screenshot of an OpenPetBrain-controlled virtual d

level of capability will be achievable by simply interposing DeS- TIN (or some other system in its place) as a perception /action “black box” between OpenCog and a robot. Some preliminary experiments in this direction have already been carried out, con- necting the OpenPetBrain to a Nao robot using simpler

l move onto recognizing events in videos. >>> Once they crack that, they will move on to other aspects of >>> intelligence. Dileep, like his mentor Jeff Hawkins, believes that >>> perceptual data processing is the key to general intelligence... and >>> that vision is the paradigm case of human perceptual da

ort have gone into the > Linux OS. Windows has taken millions of man-years of effort. These > are just operating systems; not thinking machines. If OpenCog can be > created in a couple hundred man-years of effort all total, that will > be remarkable efficiency compared to that with which operating syst

will move onto recognizing events in videos. » Once they crack that, they will move on to other aspects of » intelligence. Dileep, like his mentor Jeff Hawkins, believes that » perceptual data processing is the key to general intelligence... and » that vision is the paradigm case of human perceptual data

effort have gone into the Linux OS. Windows has taken millions of man- years of effort. These are just operating systems; not thinking machines. If OpenCog can be EFTA_R1_01444969 EFTA02404913 created in a couple hundred man-years of effort all total, that will be remarkable efficiency compared to th