The Future of AI & the Spatial Web: Denise Holt on the tech life, personal and public

The Future of AI & the Spatial Web: Denise Holt on the tech life, personal and public

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the space itself becomes a domain and the  modeling language is what's used to program   those spaces and it can program all kinds of  things the ontology for the programming language   it takes into account activities it takes into  account credentials it takes into account all   kinds of aspects multi-dimensional aspects about  those things and what's occurring with them over   time in that space and with who and who has access  who all kinds of things like that like if it can   be measured in uh physical or digital reality  it could be programmed using the the hyperspace   modeling [Music] language hi Denise I'm so glad  you're here today hi Andrea thank you so much for   having me I'm excited to be here I am really  excited about your work I have to say sort of   found it through my collaborations with inference  groups and I really love what you're doing the   podcast the substack so I really want to know how  you got here how did you get into this well Verses   AI they're leading this whole effort with the  active inference methodology being used for AI   they've got Karl Friston as their Chief scientist  not a bad Chief scientist I must say right so um   one of the original Founders Dan Mapes um is a  longtime friend of mine and so I've known that   he when he and Gabriel Renee started verses back  in like 2017 is um I knew about it I knew what   was happening so I've been kind of following  along in the shadows watching because I knew   what the vision was I knew what I've watched it  unfold and grow and expand and um they wrote the   book The spatial web back in in 2018 I think it  actually was published early 2019 but that laid   out this whole vision and then they started um  collaborating with Carl and it all just expanded   from there so about two years ago talking with Dan  um we hadn't been in contact for a little while   and we were catching up and he was telling me that  versus had just gone public up on the Neo exchange   up in Canada and that the platform was going to  be launching to the public within like a year and   a halfish that was the project projection at the  time and I was like oh okay there's a transition   mindset here people know about this at the time  I was really heavily working in the web 3 space   okay and you in technology for my adult life  I've always been kind of a tech ner and like   when um back in like 19 I want to say like 1998 is  I was using Photoshop and I started really getting   into these 3D Graphics programs back then like Ray  dream studio and Bryce and all these but rendering   time was painful yeah so that was actually one of  the big motivators that really got me diving into   technology was I was using these programs on more  of a creative side but to be able to actually make   them useful with a home computer I just started  building my own computers yeah I think that's   what I'm trying to figure out about you a little  bit what's the driving motivation because when   I listen to your podcast the spatial podcast I I  think it feels to me that something is motivating   you more than just that you want to be a podcaster  yeah so no and I have a lot of so what I've done I   mean I have my podcast but the way I've done all  of my writing around this and um the podcast and   yeah you're a writer first we should say that I  write a lot better than I speak well you clarify   things very well we'll get into it a bit but this  deep learning versus spacial web active inference   um AI I mean I think some of your writings on that  clarify it really well but we'll get into that but   anyway yeah yeah so what I've been TR what I've  been building is a media vehicle around all of   this and because I have a bigger Vision with it  and a lot of it has to do with the technology   that's coming out with versus in their platform  I really see that when their platform comes out   and it enables anybody to be able to build one of  these intelligent agents these active inference   intelligent agents um within our internet because  that's what's happening with their platform our   internet is expanding into this 3D digital twin  space so it's going from the worldwide web to   include all entities and the programming language  bakes context into all the things in the spaces   and relates them to activities and it's all  credentialed and permissioned and everything   that informs the AI that coupled with the Internet  of Things sensors everything that's going to give   these active inference agents the real time  information to learn from their perspective   within the network all of these agents are going  to be aware of each other they're going to be   aware of the network it's gonna I feel like we're  about to see this explosion of develop of in it's   almost I mean it's what we we should probably  back up a little bit because when you say the   vehicle you want it to be a vehicle do you mean  sort of a place where people can come and start   at as a beginner or any place yeah and so  at this point yes education I feel like is   the most important aspect because there's a lot  of people that are building amazing Technologies   and one of the biggest problems especially  with the web 3 Technologies or the extended   reality Technologies is that they're all just  desparate Technologies it's really hard to um   bridge that interoperability Gap and that's what  the spatial web is going to do so it's going to   do that and then also Empower everything with AI  so to me it's exciting because all these people   that are building these amazing um products  within those spaces I feel like they need to   know this is coming because it's going to solve  a lot of their problems it's going to expand   their capabilities and I feel like it's going  to usher in this um kind of augmented reality   mixed reality existence that we've all kind of  envisioned but the foundation hasn't been there   and this is bringing so like let's try for people  who maybe even haven't never heard of spatial the   spatial web yet or web 3.0 even because there's  a wide variety of different people who are G to   probably watch this but so what do you think of  as 3.0 or web 3 and web 3.0 maybe you can help   me and others understand what that means to you so  that's a really important distinction so um to me   web 3 refers to the Technologies themselves right  the um so you mean like augment crypto blockchain   crypto augmented reality virtual reality Internet  of Things um all of these technologies that kind   of enhance that web three space web 3.0 is simply  the next evolution of our Internet Protocol so um  

the worldwide web that's web 2 mobile with  the worldwide web was 2.5 and we are about   to Evol evolve that into web 3.0 which is also  called the spatial web and what's interesting is   versus actually created the protocol but they  donated it to the public because nobody could   own the Internet it's just that the protocol had  to evolve into into this 3D digital twin kind of   space to where like a it had to become a spatial  protocol it had to take us away from a library   of pages and documents like the worldwide web  um it had to take us away from the concept of   the internet has always been this decentralized  Vision but it's impossible with the worldwide   web because all the transactions take place under  the umbrella of whoever owns the domain and the   domain is the website so it's a centralized  transactional process right right so you you   it's self- Sovereign identity is impossible um  security is really difficult the worldwide web   is the most unsecured environment to even try to  be using all these Technologies in because um the   only permissions you the only permissions you're  granting within the worldwide web is do you agree   that they can have all your information and data  or not there's no Nuance to it at all how long   will you pay for whatever service or right right  so um what's really interesting with the spatial   web protocol which is hstp hyperspace transaction  protocol and hsml hyperspace modeling language um   so versus they developed the protocol about three  and a half years ago donated it to the public to   the itle E which is the largest core standards  body in the world they develop core standards   for anything that's like a public good as far  as a technology that's going to be used globally   wonderful what is the protocol though for people  who have no idea what we're talking about what's   like maybe we should even let's just think like  let's think of a little Narrative of so we have   we'll skip the invention of the internet and so  on up to kind of the fact that it's a part of   all of our lives and we're all using it we're all  embedded in it we all sort of take it for granted   that this is what happens like that this is just  the way this kind of Technology works that you   go to a two-dimensional or whatever depending  on how you're looking at you go to a page and   that's what uh the web is it's that's HTML and all  these different coding languages are writing these   uh things that end up just being pages that you  visit um and there's always a medium someone owns   the service usually and you have to kind of go  through them so that's kind of what you're saying   is you're basically handing over your data and  rights in this way and we've just assumed this   is the way it is right this is yeah it go yeah  and what you just said is that and I think I've   heard or seen it somewhere maybe you wrote it  or Dan or I don't know someone that instead of   the page and this whole way that I just described  we're going to start thinking about space itself S   as the interactive um environment I I wish I had  the I guess like instead of programming a page   you're going to program the space I think that's  what the quote was that's a completely different   flipping weird way of thinking about this thing  that's now become normal for us which was also   very weird when it first came out the internet  so that's what this like you just talked about   um hsml which I think is so cool even just  the name hyperspace moding language oh my God   as someone who's knows a little bit about  programming it like it's very exciting but um   for someone who doesn't know anything about like  what this means how would you just you've done it   in your writing and I'll link to it but just how  would you kind of introduce them to what what's   going to change what could change what's happening  with spatial web so you know instead of having   website domains all entities become a domain so  people places things um they become domains that   are programmable and you're not going through a  medium anymore is that right yeah the space itself   becomes a domain so um and the modeling language  is what's used to program those spaces and it can   program all kinds of things um the ontology for  the programming language it takes into account   activities it takes into account credentials it  takes into account um all kinds of aspects um   multi-dimensional aspects about those things and  what's occurring with them over time in that space   and with whom and who has access who all kinds of  things like that like if it can be measured in uh   physical or digital reality it could be programmed  using the the hyperspace modeling language the   spatial web talks about being natural and and  the way you just describe that that sounds like   a human life that kind of develops and you have  a history and a trajectory which we don't have   in deep learning you just have a or programming  it's totally different way of thinking about it um   does that make sense for you because I think a lot  about how we each have these kind of paths in life   and so on and so forth and um something like a  deep learning AI has has not anything like that um   right yeah no and what's really fascinating though  is that you're programming these attributes about   the phys phical life but also about a digital  realm too right so that means that everything   then becomes a digital twin and then you can  run simulations with the digital twin you can   do projections you can um you can run simulations  to find out all kinds of things tweak parameters   and stuff and it's going to um really give us a  lot of control with this simulation aspect of it   businesses will be able to to run real time real  simulations based off of real data and real things   and um make better decisions we'll be able to  address things like climate change problems and   stuff and run simulations of our planet and really  be able to see what we need to do to what degree   to get the results we want when you think of  smart cities um city planners will be able to run   simulations and really find out what's going to  be effective what's going to um make a difference   for the population for systems within the city  in a way it's um giving us better predictive   processing skills by sort of Yeah by having this  twin simulated layer but I guess what I'm trying   to Envision is like do you okay so do you imagine  I could just walk into my garden and simulate what   I might do there in that space or would it be  more like similar to something that we're used   to where I would go into a VR environment or  even something just normally like a computer   screen and simulate what's the difference and the  way that everything is linking together I I think   what we need to really take into consideration is  that um a lot of things are going to be evolving   over the next even just the next couple of years  trillions of sensors are coming on board over the   next 10 years and those are all sensors that are  going to play a part within this network as far as   AI is going to be able to interact with it with  the information coming in off of Those sensors   um it's going to be imperative that we have ai  to help us parse all this information and then   devices are going to evolve I mean we've already  seen the Apple Vision Pro and you know what that   kind of does um there's going to be different  types ofi of devices that evolve once it's like   with any technology once there's new capabilities  then people start refining how you're going to   integrate with it some kind of wearable perhaps  or some kind of I mean we already talk about this   the biological not implantation or something but  more no but like that you already see stuff like   with the little retina things all kindar implants  and stuff for parans I mean it's there's plenty of   examples um but I guess what I would like to try  to clarify before we talk more is what are the   kind of main goals of raal web or maybe not even  goals but priorities that are different from the   deep learning world because we've already sort  of mentioned them a few times but so what it   enables is a completely different type of AI than  deep learning because it it enables distributed   intelligence at scale so the big difference is  obviously you've got deep learning and then you've   got the active inference and they function  completely differently they're two different   methodologies but what the space web does is it  gives this um common language for all of the AI   to the intelligent agents to communicate with  each other across that Network so it it enables   a network where you can have multitudes of these  intelligent agents that are all learning from   their own frame of reference within the network  people will be developing these intelligent agents   humans will be developing these intelligent agents  and imparting their own knowledge into them right   so it's going to preserve all of these all the  diversity of knowledge throughout our world um   You've Got Deep learning a monolithic machine that  is trained off of Just trillions of pieces of data   that are intended to to get it to output something  that seems appropriate or matches kind of your   expectation of what you're hoping to get out of  it right but all it's doing is reformulating what   it's been fed right and spitting it out right it  can't come up with new information it can only   draw off of the information that's there right  now within the spatial web with these active   inference agents they're learning based off of  realtime data they're learning based off of the   real world that is constantly evolving and with  the way active inference works with the action   perception Loop and they're actually learning  yeah they're able to they're able to adapt with   all that new information they're able to then  share it with each other learn from each other   so then you have this distributed knowledge  that grows into this ever evolving collective   intelligence and that's really the difference yeah  very well said I guess um so with something like   deep learning you there's a programmer who's  putting in the information and yes we could   we can train it on tons of data we can put all the  data in but it's still once you put it out then   it's trained on that data so you're going to have  to do a whole update like chat GPT 4 or whatever   you have to keep updating um but what you're  saying is this this um AI a spatial AI would be   more about the space itself continually updating  itself much the way the real world already works   I mean that we all sort of um dynamically  interact and update one another um markk of   blets or whatever but is that kind of the yeah  yeah when you think of our human knowledge it   grows because we have a diversity of intelligences  that are sharing with each other but also pushing   back on each other and challenging each other and  that's how the information gets tested and then   what's right sticks and then it grows um it's the  scientific method right yeah and that's really the   difference and that's why when you just have one  brain it's not going to grow its knowledge beyond   what it knows how can it it can be introduced  to more information that then is in its bank   but those machines they're they cannot adapt  to new information just like you said they're   because of the way they're trained they take a lot  of adjustments to to to get it to actually um yeah   yeah per do whatever we want it to do write a  paper exactly they're very useful but they're   tools and I think what we're gonna see is that  they're not going away but they will also come   on to the network as tools just like every other  every other technology I don't know if you've seen   this I wonder in your experience I I also wonder  when you first started like encountered Ai and I   don't mean using it but thinking about what a i  is and um becoming part of the creation of it or   whatever but well I've been a nerd for a long time  so like so you always asov and H okay that's great   yeah we're all a lot of us start with sci-fi um  yeah but I guess um I wonder if you've seen this   like with people who aren't nerds about AI I'm  not I've become more so but when you just are   like in your normal life a normal person doing  their normal job who doesn't need to think think   about AI every single day but now most people do  because it's it's suddenly everyone's thinking   about AI or they see AI doing art or they realize  AI can write their paper for them it's changed   right in the past few years in a big way with  language really with chat GPT that that really   brought it to the surface for most people yeah  and I guess PE people seem to imagine that it is   learning in the way that you described the spatial  web it's it doesn't seem that it um people really   understand that it's actually very language-based  in terms of this kind of that you're putting in   the representations and that's all that can it  can give you back yeah I mean people definitely   misunderstand what's actually occurring there  because it's it's a parlor trick yeah it is   I mean it seems magical if you don't know what's  it's really good at making people think that oh my   gosh it must be thinking because I asked it this  and it gave me an answer and but but the reality   is is If people really understood that the way  these language models are working it's not hard   to recognize you give it enough training data it's  not hard for it to start recognizing the patterns   I mean we've got 26 letters in the English  alphabet and you find that certain letters tend   to follow each other certain words tend to follow  each other and then you train it on Specialized   data like legal data or whatever then it starts  to learn patterns that are of things that are said   over and over so you give it a prompt it's going  to search through its database and go okay well   this is probably suffice and sound appropriate but  appropriate and accurate are two different things   appropriate doesn't mean that it's understands  anything um so it's like if you ask me a question   and I just search on the internet and tell you  what I find I don't have to understand it at all   it's kind of the Chinese experiment thought  experiment and philosophy where you're just   it's just take it it is um the way the language  works if it didn't have all those very repeatable   regularities and patterns it wouldn't be language  so the machine as it's built just learns those   and then can reproduce them but spatial web how  is it I mean I know it's going to use this it's   using active inference AI so maybe we should talk  about that what's like what do you see H how would   people begin to understand that is it more like  how they're actually Imagining the current AI yeah   so the thing is these active inference agents  they actually can um do causal reasoning right   they the way it works within the free energy  principles it's constantly trying to uh it's   taking in sensory information and it's trying to  predict what was causing that right so that it can   to minimize surprise I guess how what's your like  one one sentence idea of the free energy principle   yeah I mean basically you said it it's taking in  sensory information and then acting on it to make   better predictions yeah to make better way yeah  I think we can it's generalized but we can just   for people who don't know what haven't heard it if  there is that it's pretty simple it's what we're   doing and when we we're moving through the world  um we don't want to we want to develop certain   habits and patterns so that we can continue  moving through the world so that we can exist   that's what we learn how to walk we learn how to  talk we learn all these kind of um ways of being   in the world making our way in the world and and  you can think about that as the body minimizing   surprise and just aligning with the world in a  certain way um Daniel fredman he actually gave me   the most simplistic example which you know I've  been using with people because actually it does   kind of give you that understanding he was like  okay say you have a wooden table right you think   it's wood um and or it's wood but you're wondering  is it rough or is it smooth you have to touch it   you have to actually act on it and find out and  then gives you more sensory information and oh it   is smooth or it is rough now right but it's that  whole that Curiosity by acting on your environment   so that you can get more information to gain that  understanding and yeah great so the spatial web   would be using a kind of it would instead of  deep learning which where you're just training   the agent on on data that pictures or words  or whatever um what's what happening with the   active inference in this so it's taking in real  time information through sensory data in like iot   sensors so you have cameras you have robotics you  have devices all kinds of things that are feeding   real-time information um into the network and then  you also have all of the um hsml that has been   programmed into the network with providing context  for all of the entities in the spaces and their   inter relationships with each other so so when in  active inference when you're taking in these the   sensory information you're measuring it against  what to be true the model that you've built of   your world right and it starts out as an infant  it's just your mother and then you start opening   up to the room around you and the other people  in the room and as children evolve and we evolve   into adults we start getting into more specialized  intelligences but you know it's that expansion of   our own world model by this constant interaction  with our environment and learning in that way   that's how these active inference agents are going  to learn they're going to be constantly taking in   real-time data through uh sensory input measuring  against what they know to be true which is the the   model they've developed from all of the context  baked into all the things in the world around   them yeah um they'll be operating from their own  frame of reference like whether it's like right   now I'm here I'm sitting in my house and so this  is my frame of reference uh my frame of reference   expands on things that I learn things that I've  St studied things that I'm My Own programming   basically yeah I mean this is what I call like a  way making or I think of as navigability in terms   of just that throughout our life we're born and  we go through all these experiments and when we do   develop what you could call a model um even though  it's not like a static thing that's sitting inside   your body more your body itself in the interaction  ongoing um but you develop a way of being in the   world so as to keep being in the world and so I  guess what this is going to do is help in in a way   extend that so it's almost um we almost have to  kind of rethink what it even like it almost feels   weird to call it artificial intelligence now even  though of course it's in that um scope to me to   me when like with because my whole channels  are spatial web AI but to me just because   what you just said and I mean if you listen  to Gabriel Renee or any of the versus Team   they're like doing natural intelligence not  artificial intelligence so to me it's like   autonomous intelligence that's good I feel like  that's what AI is going to be transitioning into   actually meaning when it's referring to this  you'll have autonomous intelligence systems um   yeah is it still human Centric though because I  hear the word natural used a lot and it's almost   like natural versus artificial and of course  with Carl's work and active in inference I mean   it's literally building from a living Dynamic  biological system so it's um but I wonder is it   like do you really how do you think of that do  you see that as a kind of a dichotomy that um   or is it blurring a lot this idea of natural and  artificial is it what is the natural part well the   natural part is because the way these intelligent  agents learn is the way we learn the way life   way that that biological systems learn according  to active inference which is based on the free   energy principle and free energy principle is how  neurons learn um so that's why it's termed natural   intelligence because it's the intelligence of  nature now um which is another confusion Because   deep the Deep learning people think it comes from  the brain but it's actually not not really the   way that life works it just has the name like  that it's yeah no engineering it's inspired by   of engineering yeah versus science right you know  I mean that's really the difference what's really   interesting is that um Jeffrey Hinton came from  University College London Carl friston University   College London at one point they worked across  the hall from each other that's crazy but you know   Jeffrey focused on um an engineering approach and  Carl was like no I'm yeah and like you were saying   before it's it's not either or I mean we have  this AI traditional AI deep learning it's pretty   amazing that we can use it to better understand  things to save ourselves time and energy um for   as far as like um the only approach to AI it's  just not sustainable energy-wise yeah that's   really interesting is versus just gave a demo a  few weeks ago demonstrated what they so they've   been doing these AI Benchmark tests that are like  really important within the AI industry because   they so like looking at the Go Arcade games and  stuff yeah like aari challenge yeah and what was   really interesting is um in one of the benchmarks  which I think was playing pong right all right you   know the fastest best deep learning machine could  get to a human level performance within two hours   they did it within 12 minutes W and they did it  at like 1% the model size and they did it on a   standard laptop using a standard uh graphics card  so that's yeah that's a huge difference too that   means that um that means that all of the energy  resources required for the AI is distributed   yeah among our devices we're already using right  incredible yeah so much more like the body learns   because you can't yeah you have to learn in that  kind of a at that kind of a pace too as you're   talking I'm realizing it's spatial web but it's  also spacio temporal I mean there's a whole time   um Paradigm Shift happening here too yeah it's  exciting to me and that's why like um because   I think maybe because I've seen like the vision  unfolding and I've kind of knew knew it was coming   right yeah you know to know that they did it and  it's even bigger than anybody imagined and it's   just it's exciting to me because I've known what  this the potential of this could be I and I think   I think once people start to see really clear  understanding of what sets their technology apart   from what is happening in the um the Deep learning  world I think that there's going to be a lot light   bulb moments this year where people are going to  start really understanding oh this is Dan Mapes he   he refers to um the this collective intelligence  within the network as a um nervous system for   the planet I mean it's pretty interesting I  think we I mean we already gosh it's already   been some time but I really um I really think it's  important to talk about that idea of transparency   that idea of Energy Efficiency you talked about  it a little bit already but this that people could   own their own data um there's all these things  now that we assume as I was saying we have this   kind of system and we assume it has to be this  way that we have to give over our data that we   have to go through a middle we don't really own  our domains all this we just assume is the way   it should be also what you were just describing  about the efficiency the time we spend so much   energy and it's not transparent all these things  I guess when I was asking you about what are the   kind of visions of spatial web I see there's  a bigger there's a philosophical Vision too   and a value based and we haven't mentioned that  word yet but there's a value shift right now we   take for granted that we just are addicted to our  phones and our computers but those are algorithms   those are things that those are that's on purpose  um doesn't have to be that way right isn't this   opening up like another way for people to imagine  how that they could use technology yeah and I what   I think it's going to do is it's going to  integrate itself um into our daily lives a   lot more naturally um because it will'll be we'll  be interacting with sensors and interacting with   all of these different um elements of it and we'll  have so everybody's going to have their own active   inference agent personal assistant that's going  to be able to help parse all this crazy amounts   of data that we are that that we encounter it's  going to be able to um help us navigate all of   this information according to our own preferences  and desires too right now like you said we're all   subjected to these algorithms that are predatory  yeah they're built to be I mean that's the   way they're built because that's how they get  attention and money and and we're going to have   a lot more control over our data because we'll  be able to um will be able to decide how and when   it's shared and for how long and with whom and  um people will still trade data for um access and   different things like that but the difference is  you'll actually control a lot more of the Nuance   with it and you'll be able to decide and there  will be a value exchange that actually rewards   you directly yeah I mean it sounds wonderful but  how I mean for I can imagine people listening and   they're thinking this sounds great but I don't  see it has to the protocol and the way the   protocol works right so the way H hstp hyperspace  transaction protocol um every all entities right   so people places things spaces every entity has an  identity and and uh becomes a domain and so is it   kind of a blanket sensor that just goes over the  whole earth or something I mean I guess I'm trying   to understand how there's going to be a registry  right and the um to be able to access domain   domains through activities um it will require  credentials right so um credentials that can prove   Identity or ownership or um Authority or um I mean  all of that right so so there's more transparency   not less right because the control is in your  hands it's in the user's hand so um I will be   able to control who can have access I'll be able  to go to the doctor and tell the doctor like okay   you can access this information this guard railed  amount of information for this long you can put an   expiration on it there the spatial web enables um  zero zero trust architecture right so um because   it's going to be powered by AI within it too there  will be able to be con confirmation of certain   um aspects of data that where you don't even  have to reveal it to a source you don't have to   reveal the sensitive data but it can be confirmed  within the network so it completely protects your   your private data there there's so much privacy  protection one of the things um that Dan told me   a while back that when he and Gabe were really  contemplating um how to do what this protocol   would need to be they really wanted to solve  the three main problems with the worldwide web   which is like hacking track in and faking right so  surveillance um the whole hacking and um hacking   tracking and faking that's yeah good way to say it  so it is it's secure and it truly is decentralized   and so the power then is in the hands of all  of the individuals everybody within the space   you're AI agent your personal agent is going to be  able to know all of your details and know know you   so well but that will be guard railed um it's not  going to be accessible unless you give permissions   and its nuanced permissions it's not just like oh  you can access me it's like right now that's what   we have you can access or not yeah or you just  give your data away a blanket statement yeah I   think that's um I mean I think people just assume  that's the only way it can be too and it's kind of   amazing to realize how much we just sign away that  stuff or whatever the next five years or forever   or whatever and this is more like a disappearing  message or something where you can share it for   the amount of time it needs to be shared and  then it's not there anymore and that's possible   with this technology that's clearly um yeah there  yeah and then when you think about like even what   that's going to do for for business and for like  big Enterprise organizations one of the issues   that Enterprise organizations have right now is um  a lot of them are saying saying to their employees   don't use these llms don't use chat GPT don't use  them and the biggest reason why is because of the   privacy concerns an Enterprise organization has  all this proprietary data that's opening their   data up to a third party that is not part of their  organization yeah now with the spatial web you can   guard rail any aspect of the data because you can  guardrail the domains you can guardrail the data   as domains and so when you've got an Enterprise  organization that Enterprise that can be within   the network and guard railed off to where the  capability is still there to build agents within   that guard railed part of the network it can  learn off of all of that data it can access the   network but it can protect all of the data within  that Enterprise right that Enterprise can decide   who in their organization can access what data  that Enterprise can decide what data is allowed   to be access by the public or what parts of  the public or memberships or anything like that   Enterprise most Enterprises have several disparate  data Lakes right where they've got data from this   part of the company data from this part of the  company and there's no way to join those data   that's like those silos you were talking about  before now with this the data is all getting they   can build these intelligent agents that can share  the data learn and they can create they can gain   insights that they never had before in their uh  companies but it all stays proprietary and it's   not private and transparent weirdly yeah yeah so  it's really interesting I mean I think when people   really start to understand what's happening here  and what's being built and they start to really   think about the implications of it they're  going to see that it's it's pretty powerful   what do you see what do when you're thinking it's  powerful what do you envision like what what would   be your kind of one one scenario that's makes you  I don't know that that's happy or good or for the   future once people do realize this because it  is a lot to think about all these terms and it's   hard to get your head around but like how do you  imagine that this could in your own life or your   someone's life you love change how would it change  their life for the better yeah so it depends on   how like near or far in the future you want to  go um although when I say far in the future to   me that's just like five years five years but  let's go five 10 years best case yeah five 10   years I mean honestly I feel like it's going to  really shift the way we um experience life as   humans and I think that it's going to enable us  to shift in all kinds of ways um the all of this   technology it's going to usher in this realm of  abundance I feel like it's a transaction protocol   it's blockchain agnostic all blockchains can work  within it all um I feel like we're already seeing   a shift away from Fiat into digital currency  and I feel like within the spatial web then   we're really going to get to that value exchange  position right to where it our idea of what we've   had for money I think will completely shift  so um I feel like everything that we um that   we understand about the way we interact with  each other the way we interact with technology   it's all going to um I think it's just going  to change into a way like I I know a lot of   people think um when I talk like this that it's  um it sounds very utopian but um I definitely see   there can be so much good in this I I think that  right now as a society we've been so used to kind   of scratching and clawing for existence there's  been this competitive nature because of that right   um we we have a society that operates off of ego  and um there there's just so much um it's funny   so maybe this just popped into my head but there  I forget who it was I think it might be in like CS   Lewis's like like some of his writings and stuff  but it was a distinction between aspiration and   ambition and it says ambition okay yeah aspiration  is High um ambition is just higher than someone   else like with ambition you're just trying to be  higher than the next person but am but aspiration   is high right so the ideal it's the ideal that  you're going for your own personal best and I   think that we're going to we have the potential  to kind of shift as a society to where we're kind   of like looking more outward we're more Community  focused we're more we're less we're less in that   vein of just trying to get better than the next  guy or get the the next thing to higher up to I   don't know and maybe I don't even know as you're  talking I'm thinking about how technology is such   a big important part in so many people's lives  personally but also work and how it does dep   on this kind of judgment um likes follows how you  look on Instagram or whatever I mean we've really   gotten stuck in a way with u what the algorithms  have the param have parameterized for us what's   that yeah it's that reward function the dopamine  and all that but just also that we I wanted to   talk about this idea of a sense of self um you  talked about it with um Mal I think but I'll just   have to link to it but there's this um there's  also this the way you were describing the agent or   the AI or the um the technology it's kind of going  to develop a bit of a sense of self because it's   biological but because it's interacting with us  it's also opening up how we can see ourself in the   same way that the old technology the stuff we're  still using now which is great but also has really   Limited in a way um the ways we think of self so  when you said you see it opening up our experience   of the world it made me think like maybe we're  going to look around ourselves again and notice   the space we're in um and start thinking of self  differently as more spatial instead of clicks and   likes and images on screens and all this yeah  I would definitely agree with that I think   it's going to to that point I think it is it's  going to be able to enable us to interact with technology more in the world yeah it will take  us it will take us from being um Tethered to   the devices which is yeah do you experience that  in your life are you also or gosh if I leave the   if I don't have my phone like say I accidentally  leave the house which that never happens anymore   if I leave house my phone it's like oh my gosh  you feel naked you feel like a a part of you is   missing and I know everybody feels that way your  battery dies on your phone oh my God God have you   experienced any kind of like disconnection from  space the world because I I keep coming back to   this idea of natural and I start I wonder if this  is also going to be um an advocate so to speak for   other beings and forms of life um in a way have  you ever thought about that like or in your own   life do you have you experience some kind of  way in which your focus has gone more toward   technology and could open up ecologically through  something like this technology well so to me it's   not all negative because in that vein I actually  so I live in South Lake Tahoe right now I've been   up here since the beginning of Co wonderful um  when I came up here it was with my ex-boyfriend   we have not been together for the last two years  so I've been here by myself but all my friends   are like in the Bay Area or Southern California  or the rest of the globe right so um and because   I was up here for the first two years with him it  wasn't like I was out trying to make friends so I   it feels kind of isolating up here but you know  I've also been working really hard for the last   two years and so the Solitude I've been embracing  it and just keeping my head down and building and   stuff but a lot of my social needs are met through  technology right now that's how I'm keeping in   touch with my friends and we do the same silly  stuff as everybody body else just send each other   memes and all kinds of stuff you know but those  are little touch points of connection and I think   they're important because you're not just sharing  something you're sharing things that you will find   like a common laugh or a common heartstring that  you're pulling together that kind of stuff it's   beyond just sharing benign images but um but and  like Facebook and stuff like that that really that   helps me feel connected with the people in my  life even though I'm not near them so I think   that's really cool now the way this technology  is evolving yeah it would be pretty cool to be   able to like jump into a space and feel like I  was in the room with my friends and we could all   just like gather like that or like I've thought  for years like why is teleportation still not a   thing all those sci-fi books made it seem like  we'd be having it by now yeah yeah maybe it's   just a different teleportation that we're gonna  so yeah that would be exciting I think it's great   you brought that up because um I mean technology  is wonderful and it's not either or and we do uh   connect very deeply through technology um it's not  that we in a way that it's opened up ways for us   to connect and um I don't know do you think  that's kind of the point of it in a way I do   so it's interesting um because I have friends that  they get they feel very pressured by technology   they feel um I think that a lot of I think a  lot of it has to do with the fact that we're   all individuals and we all have different  psychological makeup we all have different   experiences and traumas and different things like  that we're emotional so I know some friends that   they feel a lot of insecurity and a lot of um  pressure from social media to where it really   deters them from wanting to have a whole lot  to do with it because otherwise then they kind   of get sucked into this rabbit hole that makes  them feel really bad about themselves yeah yeah   and I've always kind of approached social  media differently than that because to me   I've seen it more as the positive sides of it  of like oh great like when my kids were young   family members were always wanting me to email  them pictures great now you could just check my   Facebook it's a bulletin board it'll let you  feel like you're involved to email people it   easier for me and we can all keep in touch that's  true wonderful thing so like to me I've seen a lot   of positives I like even with like Facebook with  the Facebook memories and stuff like that's cool   to me I love seeing stuff e even like things that  you maybe wrote as like little like posts 10 10   years ago now right and it's like oh my past self  is giving advice to My Future Self because that's   res with me aspects of it that maybe nobody even  considered but um it's kind of unfolding that way   so I tend to like look at those parts of it and  the positive sides and then also too like when I   first got a smartphone I turned notifications  off on everything because it killed me like   I was like I can't be interrupted every second of  my day like I I just can't so I think part of it   is taking control of the technology and making it  work for you right because to me that was too much   of a distraction it's like okay well I'll check  my email every 10 15 minutes during a work day   I'll I'll do these things but I don't want it  dinging me constantly because then it'll drive   me nuts yeah um I did the same do and as you're  talking I'm thinking maybe there's because I know   a lot of people who are really familiar with  technology do these kinds of things and don't   take it as seriously as or don't get as sucked  into the um the aspect of it that where you're   comparing yourself and feeling bad but those are  real spaces for people but do you think there's   something about having thought about technology  worked with technology for so long that's given   you a way to um have that kind of distance  or space to be healthy about it and enjoy the   emotional side of it without the judgmental side  um or is it just you like your personality or I I   really don't know um because it's really kind  of hard to say because I've actually had kind   of I I'm definitely somebody who embraces change  and a lot of people have a fear of change right   and I think that comes down to the free energy  principle that fear of that uncertainty a lot   of people that that creates this sense of fear  because they're uncomfortable with it you like   surprise maybe a little bit Yeah to me in  my life that's where I've found possibility   possibility lies in the the surprise and it's kind  of like in physics could always go one way or the   other so um but for the last probably I would say  probably at least since like 2008 2008 is watching   what was happening with technology and seeing  things that were unfolding and things that were   starting to really wake up um with these emerging  Technologies I have just felt like lucky to be   alive right now to be able to witness this and  you can't stop any of it so find your place in   it then you actually have this opportunity to  make a difference and so I've been so preoccupied   with that mental state that I think it lets me  embrace all these things in this way that's very   beautiful yeah I think people maybe who aren't  that entrenched in that kind of a excitement over   it all um then maybe they get preoccupied with  other aspects of it and um it has a different   effect on their mental state and there's something  about understanding how it works even when we were   talking about the Deep learning and understanding  that you're just being fed a bunch of stuff that   was trained like once you kind of understand that  it does take uh it does give you at least for me   I guess I'm speaking for myself it's easier  to not take it so seriously and to understand   it's it's it is just what it is and maybe you can  um use your own agency to decide how you're going   to use it but yeah and you can kind of laugh at it  at that point you can like there was a meme that   I saw and it was probably a couple of years ago  now but it was like my favorite way of shopping   is just to call out what I want and let you know  Facebook serve me an ad for it right right that's   great and it's that it's like what you're talking  about it's the understanding of the underlying   of How It's all working so it allows you have a  playfulness with it I think that's very healthy um   yeah well so I guess to end I want to hear about  what you've been working on all these years I want   you everyone to kind of know but this is called  love and philosophy it's really Beyond dichotomy   too but I wonder about that word love like we've  been talking about all this technology and stuff   but do you feel like when you look at these this  what you're doing your work and um what you're   sharing with people it's a a big word I know but  does it feel like that or like passion or like   something that goes deep in you oh yeah yeah I'm  definitely very passionate about what I've been   doing and it's because I do see a good outcome  from all of this I do see like the good that that   can come from all of this technology and with what  I see that Verses has been building and doing too   I feel like they're doing it the right way they're  doing it with kind of the benefit of humanity in   mind it's very Mindful and or something yeah yeah  and to me I see a lot of Promise in this next era   of computing whereas we've been kind of in this  state of like the technology has been taking   advantage of all of us feel like we're moving  into this space where that's going to shift and   that's pretty exciting and that me I just see  that can only result in so much good well thank   you for your optimism and for it feels like it's  a very authentic place that you're coming from um   and just kind of to end like tell us what you're  doing I'm really interested in your substack for   example I found some very interesting articles  there which I wanted to talk about but we're   out of time but what would you like people to  know or how can they find you well so um yeah   so education right now is my focus on this space  and so I've been doing a lot of writing I've been   doing a lot of podcasting um this year in January  started a Substack excuse me because um I wanted   to be able to kind of have a space where we could  build community around it there there's so many   people I've been meeting who are interested in  it they're working on projects or there there's   a lot of people who are either coming from the  developers side or the the education side or the   research side or even the investor side right and  they're all curious they all want to know and so I   wanted a space where people could find Synergy and  kind of connect with each other and we could all   learn together so so yeah I started the Substack  and then I've also been hosting these learning Lab   live sessions so monthly I'm creating a a new  presentation every month that's an educational   presentation to kind of introduce these Concepts  and walk people through it and I do two different   days with two different times so that people  could try to I've got people coming from all   over the globe so um that must be exciting wow  yeah it's been great yesterday was the first one   for this month so we did it last month there were  two sessions this one was a brand new presentation   um it's like a 40 minute presentation and then  about 45 minutes of just open discussion and   everybody has been participating it's been so fun  the discussion's become my favorite part so you   present um on some particular almost like a class  or yeah wonder and I'm gonna be using the videos   for for a larger curriculum that I'm building  around this um yeah and this month was on the   spatial web protocol that's what the presentation  is for this month and it's an overview it's a very   in-depth overview but it's the beginning of what  I'm creating for like this e-learning class around   the actual protocol uh itself because it's very  detailed and it's going to be um it's going to   be made public soon so when it is then there'll  be something that people can actually learn from   oh good so at some point that's that's where my  focus is right now there's already a lot people   can learn you already have given you have a ton  of content um just explaining what this is and   I encourage people to go I would say read it and  listen to the podcast and will there'll be a way   so if I join I was telling you I was trying to  do the substack but it didn't work quite well but   once I join can I go back and look at the are you  recording the lectures that you gave and you'll   have them in an archive or something or yeah so  they are being recorded um I'm still trying to   figure out how that's going to work because it  the classes are for the paid membership on the   substack and so I have to be able to host them  in a way that can be accessed by MERS sector so   I'm figuring that out um but yes the probably  it goes into the classes anyway at some point   so yeah but it's EXC it's exciting because right  now people are starting to find out about this   I mean it's I think the book came out in 2018  2019 spatial web but that's actually not that   long ago for these kind of things it feels long  when it's happening but it's starting to really   break now and it's great that you're right there  riding the wave and helping people understand it   so thanks for that and I'll be sure to link to all  this um oh thank you so much Andrea I appreciate   it and thank you thank you for having me on your  show this has been a really real nice it's been a   really nice conversation yeah it's been fun to  talk to you is there anything that you want to   say before we go we didn't talk about yet that  we should touch on real quick or I mean I my my   one thing that I will say is I want people to get  excited about this because the opportunity it's   not like it's not like this is something that's  distant in the future this is all unfolding this   year right now versus uh genius platform it's in  beta with a closed beta but they're opening it up   up to the wider developer Community this summer so  yeah it's upon us now is the time yeah if you want   to be at the Forefront okay well that's good  to know I'm glad to hear that and I wish you   lots of luck and I'll be following you oh thank  you so much same here great thanks bye bye bye [Music]

2024-05-14 05:14

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