How to pronounce“opencog”in English

opencog or or various other open- source a AGI oriented projects so would you say there's like Masters and phg thesises in there plenty yeah plenty of of course I

opencog will interface with other AIS doing deep neural Nets or or custom biology data analysis or what whatever they're doing in Singularity net which

opencog and I mean what's one of the things we hope to change with the true AGI opencog 2.0 version is just make make the learning curve more similar to

opencog is a little bit different I mean David likes it but I'd say it's my thing it's not his like David has a little more passion for biologically based

opencog bio atom space but it can exist in other forms too we need that data to be opened up and a suitably privacy protecting way we need massive funding

about opencog as a software platform and then I'll tell you the specific AGI R&D we've been building building on top of it yep

We’re using OpenCog to analyze biological data related to the genetics of longevity and we’re doing a host of other consulting projects using this.

So I think actually OpenCog and other AI systems have potential to be far better than human beings at the sort of logical and strategic side of things.

on their OpenCog is a little bit different I mean David likes it but I'd say it's my thing it's not his like David has a little more passion for

with this within opencog and before that web mine since the mid mid

more effectively run an opencog hypergraph distributed across Ram in 10,000 machines which is we're doing dozens of machines now but it's just not

if you compare to opencog what you could see is opencog allows tight integration

we've used opencog behind Sophia where there's more learning learning and reasoning and you know the funny thing is I can't always tell which system is

So what we have in OpenCog we have a central knowledge repository which is very dynamic and lives in RAM on a large network of computers which we call the AtomSpace.

But what we do in OpenCog is we’ve worked out a system where each of the cognitive processes can help the other one out when it gets stuck in some combinatorial explosion problem.

So our aspiration is to grow OpenCog into sort of the Linux of AGI and have people all around the world developing it to serve their own local needs and putting their own values

so the core component of opencog as a software platform is what we call the adom space which is a weighted labeled

anyway what we have an opencog we have an atom space which is this weighted labeled generalized hypergraph knowledge store it lives in Ram there's also a way

yeah let's go back to opencog no yeah and the hypergraph and open yeah that's the software framework right so the the next thing is is our cognitive

specific proprietary AI projects they use opencog on on the back end but we we

great paper on cognitive modules in opencog explaining sort of how do you deal with the torch compute graph inside opencog but in the end we realized like

research what would you recommend opencog first of all is open-

Now the approach we’re taking in the OpenCog project is different than either of those.

some neural aspects and then sometimes we've used OpenCog behind sofia where there's more learning learning and reasoning and you know the funny thing

you're thinking about these ideas I would say opencog 2.0 is a term we're throwing around sort of tongue and cheek because

numbers for a billion years it would run within the opencog platform but it would be pointless right the I mean the point of doing opencog is because you want to

learning and also some machine reasoning in in opencog to help some doctors to do personalized medicine against covid so the problem there is given a person's

thing that the probalistic reasoning algorithms we have inside opencog are better at than deep neural networks on the other hand you have gene expression

But what we do in OpenCog is we’ve worked out a system where each of the cognitive processes

achieves general intelligence as a result and that’s what we’re doing in the OpenCog project.

know software and Hardware implementation implications cuz current GPU architectures are not so useful for opencog

that just hadn't been one of our design thoughts when we when we built opencog right so between wanting really fast dependent type checking and wanting much

more efficient interoperation between the computation graphs of deep neural net Frameworks and opencog hypergraph and adding on top of that wanting to

uh you know in inputs into our redesign process for a new version of opencog but

So we take dozens of undergrad students each year and what we do is we give them some hands-on lessons in OpenCog and various other AI tools.

And then I’ve spent a bunch more time on the specific AGI approach which is based on the OpenCog, open source software platform.

things will go and then then we can have then we can make like take the opencog

Hansen robotics we're doing a lot of cool things with the current version of of of opencog now so there there's certainly opportunity to jump into

networking together many different AIS toward Cooperative intelligence fueling the robots among many other things you have opencog 2.0 and true AGI as one of

But what’s really interesting more so is to build a system that manifests this and achieves general intelligence as a result, and that’s what we’re doing in the OpenCog

And that’s part of what leads me to pursue AGI via an open source project such as OpenCog.

infrastructure to to implement certain ideas about how to make an an AGI so there there's been a little bit of ambiguity about opencog the software

sub hypergraphs May match that that pattern for an example so that's then there's there's something called the the Cog server in opencog which lets you run

kind of uh are you interested are you excited by that possi I'm excited by graph processors because I think they can massively speed up speed up opencog