This week on ๐ง๐ต๐ฒ ๐๐ ๐ฅ๐ฒ๐ฎ๐ฑ๐ถ๐ป๐ฒ๐๐ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐, hosts ๐๐ป๐ป๐ฒ ๐ ๐๐ฟ๐ฝ๐ต๐ (๐ฆ๐ต๐ฒ ๐๐ฒ๐ฎ๐ฑ๐ ๐๐) and ๐๐๐น๐ฒ ๐ฆ๐ต๐ฎ๐ป๐ป๐ผ๐ป (๐ง๐ต๐ฒ ๐๐ ๐ฆ๐ฎ๐น๐ผ๐ป) talk with ๐๐ฒ๐ป ๐๐ฟ๐ถ๐ด๐ด๐, CEO of ๐๐๐น๐ถ๐ฎ ๐ฆ๐ผ๐ฐ๐ถ๐ฎ๐น, about protecting your digital identity when AI makes impersonation cheap and trust harder to earn.
As synthetic content floods the internet, the real issue isnโt just deepfakes โ itโs the growing uncertainty around what (and who) to believe. Ken explains why โold internetโ security habits donโt fully cover the AI era, and how tools like ๐ป๐ผ๐.๐ฏ๐ผ๐ use cryptographic verification to help creators and public-facing professionals prove authenticity ๐ธ๐ช๐ต๐ฉ๐ฐ๐ถ๐ต ๐ฉ๐ข๐ฏ๐ฅ๐ช๐ฏ๐จ ๐ฐ๐ท๐ฆ๐ณ ๐ฎ๐ฐ๐ณ๐ฆ ๐ฑ๐ฆ๐ณ๐ด๐ฐ๐ฏ๐ข๐ญ ๐ฅ๐ข๐ต๐ข.
We also dig into the mindset shift: moving from casually โposting contentโ to intentionally authorizing and protecting your identity โ because your face, voice, and reputation are now part of the attack surface.
๐๐ฒ๐ ๐ง๐ฎ๐ธ๐ฒ๐ฎ๐๐ฎ๐๐
โข Why the trust crisis isnโt theoretical anymore โ and how it shows up for creators, leaders, journalists, and influencers
โข How cryptographic verification can help prove content authenticity without relying on โAI detectionโ whack-a-mole
โข Practical ways to think about protecting your likeness (voice/image) and reducing unwanted reuse
โข Why decentralized approaches can sometimes simplify trust instead of complicating it
โข The shift from โsharing onlineโ to consciously authorizing and licensing your digital identity
๐๐๐ฒ๐๐ ๐๐ถ๐ผ
๐๐ฒ๐ป ๐๐ฟ๐ถ๐ด๐ด๐ is CEO of ๐๐๐น๐ถ๐ฎ ๐ฆ๐ผ๐ฐ๐ถ๐ฎ๐น and a leader in cryptography, blockchain, and privacy for content creators. He holds eight patents, has been recognized with a National Technical Emmy, and has built blockchain solutions used globally, including work connected to the United Nations. Learn more at ๐ป๐ผ๐.๐ฏ๐ผ๐.
๐๐ผ๐ป๐ป๐ฒ๐ฐ๐ ๐ฎ๐ป๐ฑ ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐ผ๐ฟ๐ฒ
โข ๐ป๐ผ๐.๐ฏ๐ผ๐ | ๐๐๐น๐ถ๐ฎ ๐ฆ๐ผ๐ฐ๐ถ๐ฎ๐น: https://not.bot
โข ๐๐ฒ๐ป ๐๐ฟ๐ถ๐ด๐ด๐ ๐ผ๐ป ๐๐ถ๐ป๐ธ๐ฒ๐ฑ๐๐ป: / kengriggs
๐๐ถ๐ธ๐ฒ, ๐ฆ๐ต๐ฎ๐ฟ๐ฒ, ๐ฆ๐๐ฏ๐๐ฐ๐ฟ๐ถ๐ฏ๐ฒ
Catch a new episode of The AI Readiness Project every Wednesday at 3pm (PST), co-hosted by Anne Murphy of She Leads AI and Kyle Shannon of The AI Salon. Want to meet others navigating this new terrain with humor and humanity? Visit The AI Salon or She Leads AI to find your people.
How to Protect Your Digital Identity in the AI Era_ with Ken Griggs
Announcer: [:Growing smarter and leading with what makes us human.
Kyle Shannon: Good day to you, Ann Murphy.
Anne Murphy: Good day to you, Kyle. Shannon,
Kyle Shannon: I listen. I'm not going to tell the people that you just got up from a nap if you don't tell them that I have a crusty eye.
Anne Murphy: They'll never know.
g, zooming in on the screen, [:Anne Murphy: you know what? Think about with your eye and my whatever, being under the weather.
This is one of the only places I would wanna be other than my bed. I'm being totally honest.
Kyle Shannon: Yeah.
Anne Murphy: There are very few things that would happily drag me out of bed when I just wanna feel sorry for myself and I want my mom and I want catering and I want zetta crackers.
Kyle Shannon: I like catering,
Anne Murphy: but doing this is like, alright, I can get up.
I can do this thing for an hour, you know? Yeah. I love our podcast. I don't know if the listeners, I think listeners like it.
Kyle Shannon: I
Anne Murphy: think they do. I love it. So I don't care.
Kyle Shannon: Yeah. So what's, what's, what's burning in, in your head other than a fever? What, uh, what are you thinking about from an AI perspective these days?
ay to Mexico with me. I have [:Kyle Shannon: Do you know how many books that I have given vacations to and never opened.
Anne Murphy: Oh, so amazing. One of 'em was hard back and my bag was like so heavy.
So I have had security and privacy on my mind for, well, a couple years, but prior to that. Oh. 'cause we're gonna talk with our, our guest today is from Not Bot, which you guys are in for a treat. Yeah. Ken's a
Kyle Shannon: business.
Anne Murphy: Yes. I am the kind of person and, and we are the kind of household, you know, we don't lock our doors.
Hmm. We don't lock our car doors. We're like, of course we should. We know that, you know, until fairly recently, my passwords were my dog's names. Like I am that girl. And
Kyle Shannon: there's post-it notes with all your passwords all around your computer. Yeah.
ave a staff meeting about it [:I mean, me and Donnie in the kitchen. But, um. I've really started to think about it, of course, because I'm surrounded by people who also think, who, who think about it as well and have articulated some reasons why I might take a different approach to this. And it feels like every day we find another reason why we should be careful with our data.
And this week, uh, you know, the Claude bot, you know, the malt bot or whatever, uh, fever that hit everyone. And, you know, you could probably describe it better than, better than me, but. Um, very exciting, very enticing, and also pretty dangerous for our own data security and privacy. But the thing that I worry about the most is the exact thing, um, that not bot does.
e say we are? Are we weirdos [:How do we, in an upcoming, well, not upcoming, well, in an election, how do we make sure that people who are, who they say they are, especially for our, our elders who vote and. He watch stuff on, on TV and on the, on the, um, on the social medias.
Kyle Shannon: Yep. Yeah. I had, I had a conversation with my wife before I just went to Washington, DC to do some testimony.
I was fancy, fancy, you know, uh, talking on the hill and, and at the White House. I
Anne Murphy: saw your suit.
Kyle Shannon: My what?
Anne Murphy: It turns out you can wear a suit. I didn't know.
by, I said, before I left, I [:Because people are like, I'm out because I do the live every night. I mean, my likeness is, you want someone to clone, here you go. I'm everywhere. Right?
Yeah.
Um, the thing that, and I'm, I'm sure Ken's gonna have something to say about this. The, the, the, the m bot thing, uh, the thing that they did was they. MOT book, they built this, um, Reddit like social network for all these agents to talk to one another, and they left the database, uh, unencrypted and unsecured.
So I get all of the API keys for all of the agents. So then this network that was supposed to be just agents talking to one another, had humans impersonating agents,
Anne Murphy: Jesus Christ,
Kyle Shannon: and, and, and saying ridiculous stuff that agents probably wouldn't have said, but everyone blamed it on the, so it's just an absolute mess.
nd I think if you carry this [:Certainly in the 2027, these agents are also gonna have likenesses and voices and talking and things like that. Bless you. Bless you.
Anne Murphy: Thanks. Sorry.
Kyle Shannon: That's okay. You gotta do it. I may need to jump off screen and deal with my eye. Right now we think about, you know, there are human beings that are gonna do deep fakes of people and try to, try to gain trust and things like that, that's gonna start happening at scale, right?
nts, you know, going off and [:I know it's coming, but do I, am I really prepared for it? Not really.
Anne Murphy: Well, I don't know how we could prepare from not being able to tell fact from fiction.
Kyle Shannon: Yeah.
Anne Murphy: That is so discombobulating and destabilizing. Like, think about it. Anytime you don't know. Like what is actually going on here? Very destabilizing.
Mm-hmm. And so I think that's gonna be one of the biggest factors is that we're all gonna be running around like with no, uh, no source of real truth. Mm-hmm. Um, that we can trust. However, this goes back to something that we've all talked a ton about, which is building this like, uh. Notebook, LM called it a trust moat.
at around us, which is stuff [:Kyle Shannon: Yeah, yeah, yeah, yeah. I, I'm weird enough that it's gonna be tough to, I, I think people that are, have a bit more of a monotone delivery. They're, they're, they're up for it. You know, it's, it's gonna be worse for them if you're all over the place. You know,
Anne Murphy: I've told you my. Have I told you my conspiracy theory about the way that Sam Elman talks?
Kyle Shannon: No, please.
This is great.
Anne Murphy: I, I've always believed, you know, because he, he also dresses like Mr. Rogers, right? He's always got a little sweater in the pants and he talks, he's very monotone except for when he does the uptalk at the end, like a valley girl. And I figured that he must do that, so that it's gonna be very, very easy.
To [:Kyle Shannon: and, and he turned off so like Sora, he, he made it so you can replicate him. Like, I've got all those videos where I'm doing it with him. I, I think he's sort of leaning into it and I think there's, I, I mean, I really do think there's something to that, but I, I, I think there's something to just.
Leaning into it and going, okay, if I'm gonna be, if, if I'm gonna be, um, you know, deep fake, I'll, you know, here go deep. Fake me. Right. And like, I have one of those that when you make a deep fake of me, it makes an ad for Festivus. Actually, right now I've got a really, yeah. Yeah. It's good. It's really good.
Anne Murphy: That's cool.
, we're entering an area. Era:Like it, it just, this year feels like the year where. Because the end of 2025, you could feel the acceleration starting. Yeah. And, and the technologies were just getting good enough that like, okay, film filmmaking stuff is good enough that Yeah, that's actually invading that space and coding all of a sudden got good enough that coders are like, yeah, I don't really code anymore.
Like even like Andre Carpathy and senior engineers are like, yeah, that's not my job anymore. Right. My job is now managing these things. Yeah. Um, so. So, yeah, I, you know, when we talk AI readiness, I think this year is probably more than any, any other year gonna feel like, um, managing and responding to major disruption.
Anne Murphy: Yep.
Kyle Shannon: It's
Anne Murphy: starting.
Kyle Shannon: And how do you [:Anne Murphy: I don't know man, either, but I used to.
What
Kyle Shannon: are you hearing anything from your, from your community?
Anne Murphy: Um, yeah, so I, uh, since, since the beginning. You know, we were like, what the parade of horribles, like what are all the awful things about ai? And I just had this vision of like the year everything goes honkers. Yeah. And for me, that was not being able to separate fact from fiction.
ke, you know, one woman who, [:And you would think that she is like in cahoots with ai, but she doesn't discuss anything that's not work. Zero. And she's a, you know, she's a security person. Well, we hear a lot about it. We talk a lot about it, and there's always people who actually act on those things. And then there's people like me.
Kyle Shannon: I was just gonna say, and we call them nerds,
Anne Murphy: make
Kyle Shannon: one of them.
And
Anne Murphy: um, and then, you know, we had a company, Osano come and, and talk with us about being, uh, being our sponsors for the year. And that kind of peaked our interest in 'cause their data security and privacy. Um, so there was that. So we get to learn more about that and they do quizzes for us and all this kinda stuff.
sort of just socializing it [:Kyle Shannon: and Yeah.
Anne Murphy: And I think that enough of us are fearful about the deep fakes and being taken advantage of, and particularly worried about our parents.
Kyle Shannon: Mm-hmm.
Anne Murphy: That when we need to press a couple of buttons to make sure that everybody can know.
That we really are who we are when we show up on screen. Right. Yeah. I think that that will pretty soon, probably this year be a welcome opportunity.
Kyle Shannon: Yeah. I, our parents pressure, there's gonna be a pressure. Yeah. Pressure. Someone's gotta fix this. Right.
Ken Griggs: Someone's gotta,
Kyle Shannon: and that's, and we're gonna, Ken is, is working on fixing, Ken is gonna
Anne Murphy: fix
Ken Griggs: it.
Kyle Shannon: Ken's Actually, you know what, Ken should fix this.
Anne Murphy: You know what? I feel like he's working on that.
g the funny stuff or if, uh, [:Anne Murphy: She leads AI is it's. It's, we have a membership program and people should join that. There's no question. It's an amazing opportunity to spend time with other women who are really, really leveled up, some very brilliant women and brilliant with ai. Everyone's brilliant and also. Some who we get to help bring along, which is really satisfying and gratifying.
Um, so there's a membership community. We also have an academy where we've launched our two new cohorts, AI educator, uh, certified AI educator and AI consulting accelerator. We have other opportunities in our academy. Um, and. We're expanding into policy work, which is very exciting. Good. And we do lots and lots of events to bring people together.
ing, we hold an event called [:And you get that link at She leads ai. Ai.
Kyle Shannon: Beautiful, beautiful. Awesome. So, lemme tell you about the AI salon. Um, we created this the week that chat, GPT came out and, um. It's a community of about 4,000 AI optimists now, and, uh, people that are, you know, thoughtfully putting humans at the center of the conversation about how we use ai.
week cycle, [:Um, we've put together, uh, a framework that allows you to sort of navigate different components of your practice and exercises. And we're gonna add, in this cycle, we're gonna add like the, the AI equivalent of like music scales, like very simple things to do on a daily basis. I'm really excited about it.
So it's not just, you're not just gonna have homework, you're gonna have like. Practice to do like scales.
Anne Murphy: Ooh. Oh, like going up and down the scales.
Kyle Shannon: La
Anne Murphy: la la Okay.
Kyle Shannon: The AI equivalent of that. So I'm really excited about that.
Anne Murphy: Ooh. Anyway,
Kyle Shannon: I'm so trippy. Yeah, it's really good. Um, so let's, let's bring up, uh, Mr.
ss Project. Oh, you're muted.[:Anne Murphy: Well, oh, there we go.
Kyle Shannon: There you go. Gotcha.
Anne Murphy: Awesome.
Ken Griggs: Hey guys, I'm doing great. Thanks for having me here.
Kyle Shannon: Welcome, welcome, welcome. Awesome, awesome. So, so we were saying, oh, your, uh, your QR code's just under your name. If you slide it either to the other side of the screen, maybe.
Ken Griggs: Oh, interesting. It looks, it looks to be opposite on from my screen.
Kyle Shannon: Uh
Anne Murphy: oh, that's interesting. There we go.
Kyle Shannon: There you go.
Anne Murphy: Yeah. Oh, maybe this is the moment to describe what we're seeing on the screen. Yeah. Then we introduce Ken.
Kyle Shannon: Okay, good. So, so Ken, what do you hawk in there with that there? QR code? Well,
Ken Griggs: uh, yeah. You talk
Anne Murphy: in the QR code.
Kyle Shannon: Exactly.
Ken Griggs: Well, so I got a question for you.
Kyle Shannon: Yeah.
ing. Um, I've been on enough [:If they got the link, um, and they looked like me, you would probably have accepted me in, right? Yeah. And if for some reason I had been unable to join, well, oh boy. Who's the, who's the right one? Or if both of us joined, who's the right one? Right. You would not have a way to know. So, okay. We need to be able to sign, oh, now it's on the other side.
Sign the, um, uh, any kinda content. Right. And we need to be able to do it right now. Like we can't wait for Stream Yard and YouTube and everybody else to build integrations, um, for some something that, um, that works everywhere. And we need something that people can actually check themselves. So. QR codes.
Um, and you can scan it with [:Um, on this, um, uh. You know, on this call right now mm-hmm. And it's gonna include in there, um, they, uh, might even be able to, to, to show what's in there, but the, it is gonna show who I am. Right. It's gonna show, which, it's gonna show my social media, so it's gonna say, not bought official@x.com. I could have chosen any of my other social media accounts to, to attach to it.
Mm-hmm. And it's going to show, um, because I chose to include it the last name directly off of my passport, right? Mm-hmm. There is nobody else in the world who can put all of that stuff together and sign it. Hey. There you go. Exactly. Ooh, we
Kyle Shannon: now know,
Ken Griggs: uh, now we know it's Tim.
ning. I was scanning your QR [:It's
Ken Griggs: nice.
Kyle Shannon: Nice. I now know it's you.
Ken Griggs: Right. Okay, perfect. Um, you had actually already flipped over to the add contents context contact screen, uh, when you showed it there just a second ago. But the, the important thing in there is that there's a message, right? Mm-hmm. And that message says that this QR code.
There you go. I get the pointing right, that QR code, if I copy paste it anywhere, I mean Sure. It's an image. You can copy paste it anywhere if that, if that QR code shows up anywhere else. Right. You'll look at it and say, oh look, it says AI readiness, um, project podcast.
Kyle Shannon: Yep.
Ken Griggs: And it gives a date and a time.
Yeah. There you go. Oh my God. And it gives a date and a time. And there is,
Kyle Shannon: that's so cool.
Ken Griggs: That is not something anyone could change. So you copy, you paste this somewhere else. And it's gonna still say AI Readiness Project podcast, and a date and a time. That's cool. So it'll be clearly wrong wherever else it shows up.
Right.
Kyle Shannon: That's amazing.
Griggs: And now I've signed [:Anne Murphy: we would
Ken Griggs: know only show the QR code and you'd be able to scan it and know it was really me.
Anne Murphy: Wow. Wow.
Ken Griggs: So very cool. That's, you know, it, and, and you think about it, you know, they, there's a whole bunch of people out there who are trying to do things to. Detect ai. Look at as that everybody's gonna use AI for everything, right? Yeah. Everyone's
Kyle Shannon: gonna use AI for everything. I know. And those probably don't work anyway.
The AI's gonna work around them,
Ken Griggs: right? Like, this is probably the last time I ever get on a, uh, on a call where the only thing I have is a blur filter, right? Mm-hmm. You know, there's gonna be AI to. Touch up my appearance. There's gonna be ai, all this stuff. Well,
Anne Murphy: mine does. Yeah.
Ken Griggs: [:Does that make it fake?
Kyle Shannon: Yeah.
Ken Griggs: That's not fake, right?
Kyle Shannon: Yeah. Yeah.
Anne Murphy: So then, then you get into the really trippy stuff about, um, like, do we care if it's fake, right? Mm-hmm. So if you come into our show and you, rather than deciding you don't want it to, you don't feel like showing up, like. So you send your avatar, it's a cat face, or it looks exactly like you, or you turn off your, your thing, you turn off your, your camera.
I'm really glad to know that it's connected to you. Mm-hmm. One of the things I wonder is, will at, at will there be a point where we don't care if it's you or your avatar. And when will that point happen? Like right now, I know we really, really care. Mm-hmm. But eventually, will we still care? What do you think?
bots will be a part of your [:Okay, now we know whose bot it is. That's a really, really valuable thing.
Anne Murphy: That's important
Ken Griggs: and
Anne Murphy: yeah.
Ken Griggs: Right. Exactly. And imagine, you know, when your bot shows up and talks to someone, it's also able to prove what it's been told to do. Mm-hmm. Right? Just because it's working for you. Bots hallucinate, they go crazy sometimes.
rsue. Right. And so who it's [:And then the last important thing is what technology is that bot running? You know, if that, if that bot is running in, you know, like agent force or AWS is new thing or you know, or, or whatever semaphore the right here in Atlanta. Um, okay. Maybe I trust that bot. But if it's, you know, Bob's bot buddies, right?
Ah, um, or some random something, maybe you don't trust the bot to be actually doing what it's been told to do. So it's a, there's a, there's a whole lot of stuff there. And in fact, and I totally didn't actually mean to get on this topic today, but the next thing after not bot for my company is something called Honest Bot.
hose four things I just said [:So that's a, that's a really big deal coming. Like we jumped lo we just jumped like to the, the, yeah, we just, we
Anne Murphy: jumped to the punchline. We need you to introduce yourself, so let's reel it back. But I still wanna learn more about not bot, so.
Kyle Shannon: Exactly. You're
Anne Murphy: not the hook.
Kyle Shannon: One quick question here from, from a guest.
Um, how do you join if you don't have a passport?
Ken Griggs: Ah, okay. So how do you, so right now, today, you don't, um, the, uh, we have to have some way to know that you really aren't a bot. So right now, um, there's, you know, if, if any site really wants to know you're not a bot, what they'll have you do is they'll have you hold up your driver's license and then do a little selfie thing so they can get a scan of your face.
to be you on any other site. [:Kyle Shannon: Yeah,
Ken Griggs: right. Oh, who knows who has all that data and now they can go be you. Right. So it's um, so that's a really terrible way to do it.
And there's a site out there called only fake.org, and they will generate. Hyperrealistic images of somebody holding up a fake driver's license and, and they'll just create the driver's license, right? You we're already to a point where real time deep fakes are a thing it that you can run. You just download it open source and be a real time deep fake those technologies to identify who's human online.
Are already broken by ai. If I'm gonna create a thing called Not Bot, and I'm gonna tell you, I'm gonna tell, I'm gonna be able to distinguish humans from bots. I can't use stuff like that because it is Fable. Yeah. By a bot.
Kyle Shannon: Yeah. Right.
start with, with a passport. [:Um, the data on that NFC chip is signed by the, by the issuing government. And so when you scan it, we know for sure that that really is your passport.
Kyle Shannon: Mm-hmm.
Ken Griggs: Now, um, here's something important. My company does not get that data. Right. I'm not able to track you. I don't have your, I don't have your email address.
I don't have your phone number, I don't have any information about your device. I don't have your, uh, any of the information from your passport. I literally, I don't have your Apple id. I literally have nothing whatsoever about you. Um, we use. Um, a bit of fancy math called, uh, multi-party computation. Um, that, uh, uh, and we developed some cool, cool algorithms in collaboration with a company called Gawa.
t with us. They're a big DOD [:Um, and so that's, that's really powerful, right? And so now I can create these signatures. Uh, now they're on the other side, um, and they can be a QR code. For a QR code or you have to, uh, you have to go fetch the data 'cause there's not enough data actually in the QR code. We also have a thing called a JAB code, which is a giant colorful thing where all the data's actually in the image and you don't have to go fetch anything from any server anywhere.
Kyle Shannon: Nice.
Ken Griggs: Um, and it's totally privacy protecting.
Kyle Shannon: Yeah. Beautiful. Well, so now that we know that you're you, who are you?
Anne Murphy: Who are you?
Oh my gosh. Some background. [:Anne Murphy: you. We told you. We forget about the intros. We get excited.
Kyle Shannon: Exactly. We get excited. So, so tell us who you're, tell us your background and I'd love to hear like, what's been your journey to get here, you know?
Anne Murphy: Yes.
Kyle Shannon: Who, who did something to you when that you're like, I.
Ken Griggs: Well, so, um, I started out, um, as a, in a, in these. In the research department of a speech recognition startup employee number five. Um, I got to go, you know, we were building a cool new variation of speech recognition. Um, I got to go talk to customers, build cool stuff and come back, you know, after I heard what they had, what they wanted, I could go build it, bring it back and say, Hey, look at this cool thing.
d. Pretty cool. Um, I won an [:Kyle Shannon: Nice. Wow.
Ken Griggs: Yeah. Right. Actually, have I should have, I should have brought the statue up. You should have brought it,
Kyle Shannon: yeah.
Ken Griggs: In the office. Have, have a little statue on the mantle.
Kyle Shannon: Nice.
Ken Griggs: Um, and, uh. Um, and had a lot of fun building cool new stuff, right? That's what that was all about, was building cool new stuff.
Um, and then the company got big and I didn't get to talk to anybody anymore. I just had to go build stuff and that wasn't so much fun for me anymore. Um, so I got an MBA went and spent seven years at Deloitte, um, which was entirely awesome working in their innovation lab. I have to, I have to give huge props to Deloitte.
That is an amazing company.
Kyle Shannon: It's,
Ken Griggs: um,
Kyle Shannon: you know, do you know, do you know Scott Major? There. He is now the CMO of us?
Ken Griggs: No.
Kyle Shannon: Okay.
Ken Griggs: No, I was in the innovation lab and did not get, uh, did not talk to the marketing side folks.
Kyle Shannon: Ah, okay. Got it.
Anne Murphy: They didn't let you talk to people.
Kyle Shannon: They're [:They really are.
Ken Griggs: Oh my gosh. It's amazing. Anyway, yeah. Um. Then I got, um, I got pulled away because of Cool. I wanted to go work on cool New Tech, and I wound up in a blockchain company. Um, and while there I got to go build something cool for the United Nations. Like the United Nations asked us to build something on a blockchain.
Kyle Shannon: Wow.
Ken Griggs: Um, which is actually pretty cool. Um, and the, the problem they had was that they wanted a bunch of countries to be able to work together on climate stuff, but there was no country they could put a server in that everybody would agree to use. So they wanted something that was fully, the proper term is decentralized, but fully, you know, each and every country could run their own little.
Uh, climate action data.org. [:Kyle Shannon: Yeah.
Ken Griggs: While I was there, though, I got the bug. I figured out people could have a real identity. Um, that they owned. You know, there's a, there's a, um, uh, a cryptographic key that can be embedded in your phone in a way that can never be removed and you can actually attach an identity to that. And I saw the AI wave coming and I was like, oh my God.
People are gonna need to know, um, who's real.
Kyle Shannon: That people are people. Yeah.
Ken Griggs: Yeah. And uh, wow. You know, I thought about it and I thought about it in one day. I just left a, uh, left a, uh, left a job as vice President of customer success, um, and no income, uh, for, um, for way too long. We
Anne Murphy: know that, we know this feeling.
Kyle Shannon: Yes. [:Ken Griggs: And, and I can say I'm really proud of what we've built, uh, to, to get us here. That's awesome.
Kyle Shannon: That's incredible. What's, is this your first startup?
Ken Griggs: This is the first startup I've founded. Um,
Kyle Shannon: yeah. You founded? Yep. Um, what I, so, so I, I find this fascinating. I love, especially first time founders. What, what is the biggest difference, or like, what's been your biggest insight as a founder where you're like, you go to do something and you realize you're not at Deloitte.
Right? Like, what's been the biggest difference between, you know. Being, you know, having those resources and, and, and this, like, what's the, what's the biggest difference?
things in your life. You do [:Kyle Shannon: And I was gonna say on, on the weekends, you build the product
Ken Griggs: and you have to build a legitimate company. And like, there's lots of, lots of stuff you have to sign and Yeah. Um, you know, accountants and lawyers and like, there's a lot of stuff Yeah. Stuff that is in the way of you and doing what you wanna do.
Um, honestly, I. I wouldn't have been, I wouldn't have started a company if I didn't feel like this is something the world needed and that there wasn't anybody else who could do it safely. Right. To where we can protect people's identity so they can actually maintain privacy, um, like on a really, really deep level, protect their privacy.
ep. I wanna give you a, a, a [:Kyle Shannon: Amazing.
Anne Murphy: Yeah.
Kyle Shannon: Who, who are you mean? Customers?
Ken Griggs: Um, so right now, um, we need to talk a little bit about which products are out and which products are not out.
Um, so we have a few people who are, who have already started signing their podcasts, um, signing videos that they put up on YouTube and Instagram, um, and, you know. That is a simple way to protect from DeepFakes, right? Someone basically hijacking your likeness, hijacking, you know, to, to advocate something else for, for something.
Kyle Shannon: Oh.
Ken Griggs: But our product right now, um, is currently Apple only.
Kyle Shannon: Mm-hmm.
droid. We haven't released a [:You know, if you, if you join a subscription tier and you tell us, Hey, I'm a subscriber and I'm having this issue, get a whole lot of support while we get that solved.
Kyle Shannon: Yeah. Yeah.
Ken Griggs: Um, so. Who are our customers right now? We have a lot of people who are queued up to start using it as soon as we, as soon as we launch broadly.
So a couple things on that. Um, I believe in a week and a half we should be releasing Android, at which point, um, you're gonna, you know, there's a bunch of stuff that comes in that release besides just Android. Mm-hmm. And in about four weeks. Four to four to five weeks, we're gonna be releasing not bot server.
check, Hey, is this a human [:Kyle Shannon: Right? Yeah.
Ken Griggs: Right.
Um, and so having a way to be able to truly know that a, a human is a, that a person is a human, that's a big deal. Having a way to truly know that, um, maybe they're over over 16, you know, that's the new thing for social media. Mm-hmm. I don't know if you've seen Metas now gathering up people's. Driver's licenses.
Like this is Cambridge Analytica company. Right. Is getting your driver's license and you trust them with that.
Kyle Shannon: Wow.
Ken Griggs: Right. I mean, they, they, their history of protecting, protecting people is not so good. Yeah. Not so
Anne Murphy: good. Yeah.
Ken Griggs: And now they're gonna have your driver's license. Really? Um, you know, there's a.
You know, [:Um, gathering up all your personal data. Right. That's huge. Right? And without having a way to track you from website to website. That's the other thing not bot does, is you have aliases. If you want to be, you know, Anne Murphy at from, she leads AI on 37 sites. That's fine. You have one alias you use on all of them.
If you don't wanna be tracked, well by default you get a new alias for every website you get you go to, no problem. Right,
right.
ou cannot be tracked. 'cause [:Anne Murphy: Yeah,
Ken Griggs: right. It would be really good if you could protect some of your data.
Kyle Shannon: Yep.
Anne Murphy: Yeah,
Ken Griggs: so I think this is the sort of thing I think the world needs. Yeah.
Anne Murphy: Would you mind, I know that it can be kind of a buzzkill, but would you mind articulating some of the problems that we are avoiding by, by ensuring that people know that we're us?
What are some of the bad things that happen when you're not really who you are?
ly knows what, because Oprah [:Um, right. That's, that's a problem. Um, there's a, um, uh, uh, Sanjay Gupta got on, uh, had to spend a minute and a half on CNN to be, to just to tell everybody, Hey, that wasn't me selling homeopathic Alzheimer's cures. Right.
Kyle Shannon: Yeah.
Ken Griggs: And the only thing he could say at the time was. I wouldn't do that. And you should know I wouldn't do that.
That was the best he could offer.
Kyle Shannon: Right,
Ken Griggs: right. Where it would be much better if, you know, he could sign things. Um, and, you know, and, and pretty much everybody with any public persona right now. Right. They're just waiting for the deep fake of them to come up. That is damaging.
Kyle Shannon: Mm-hmm. That's
Ken Griggs: damaging. And then what do you do about it?
you respond to the deepfake [:You really don't have anything you can do as a, you know, uh, as a, you know, a public figure proactively until not bought. Right. Wow. Now, if, if all of your followers know you sign your stuff right, then as soon as something comes up that isn't signed, oh. We see that isn't signed or it's incorrectly signed, and your followers can shut it down and denounce it even before you ever hear about it.
vely protect themselves from [:Kyle Shannon: Yeah, that's really good. Wow. From the audience here. Ken, um, I, I'm curious about this too, you know, what are your thoughts on, on world ID, and, you know, the biometric stuff that they're doing, the, the orb and, you know, world coin and just what are your, what are your thoughts on them?
How are you different than them? Have you considered going down the biometric route? You know, is that still an option? Just curious where you are on, uh, who they are and what they do.
Ken Griggs: Um. So I have a lot of problems with the, with that project. Um, the, uh, that I don't care to air here. Um, but the, um, but basically you have to remember what.
workers displaced by, uh, by [:Ai, then open AI would be able to provide you with some of the spoils that they're getting from doing all the work for you. It's a pretty dystopian view, but that's literally what it was made for. That's why world coin, why there's world coin and why they pay you to sign up up and then they pay you periodically afterwards.
Right. This is the, this is the sort of the start of the universal basic income. Thing, um, mm-hmm. That, uh, that World Coin was designed to do now. Um, and then, and you have to also stop and think, Sam Altman is another one of these folks who hasn't exactly been, uh, careful with other people's data, careful with other people's copyright, you know, um, soa, you know, he's, he's clearly, perfectly happy to, you know, use people's, you know, name, image, and likeness.
[:Right, so that, that immediately makes them 18 and up. Well, right now we, we enroll with passports. In the future, we'll be able to enroll in person, and because we never touch a biometric, we never have biometrics. You know, we, you know, you'll see our, our app has a four plus age rating because. We have no data.
Mm-hmm. Um, we're not gathering any data off of you. It is safe for kids too, um, for that reason.
Kyle Shannon: Mm-hmm.
Griggs: And so we're, we're [:Kyle Shannon: Mm-hmm. Got it. Beautiful. Um, let me ask you something about, I, I, uh. Hallucinated earlier, that systems like, um, open Claw now and, and, and, you know, and Molt book and, and all these things, the, these sort of agent systems that, that spin up agents.
I sort of, you know, hallucinated forward that those things are, are gonna at some point have faces and voices and things like that. You know, a is that correct? Do you, do you feel that that's coming too? And how quickly, and, and, you know. What do you, what do you think it looks like when, when it goes from, Hey, if I want to, you know, do a deep fake of Ann Murphy, I can do that.
And how, like, how is that different than, you know, farms of these agents being able to do the same thing? Mm.
Ken Griggs: So yes, it's [:We've already got the ability to talk to it. Well, what are, you know, it it just take that interaction to the next step and make it more comfortable. That is a reasonable thing to do. The flip side is that now it can go look like a, some, some specific human, but if it could create a, you know, I don't know if you remember, um, this person does not exist.
Dot org. I dunno if you remember that one. Yeah, right.
Kyle Shannon: Synthesized people. Yeah.
Ken Griggs: Right. If it could create a, um. If it could create a synthesized, you know, face and voice and, you know, and you could interact with it as an individual thing, that would be really valuable. But it, again, it needs an identity, right?
of this, we jumped ahead to, [:So even on a single computer, two processes cannot have the same identity. They may both have access to the same cryptographic key, but they cannot both have the same identity. And that's, I think, a really powerful thing. It's like, you know, especially when you imagine, you know, these ais. People are also working rapidly on, uh, humanoid robots, right?
Mm-hmm. The obvious thing, we're gonna put ais into humanoid robots. Yeah. Um, and they're going to be, you know, assistants around the house maybe, or, you know, any of the thousands of things that they want to do with them. They're going to have names. Are they all the same agent? Do they have all the same permission?
Do they all [:Even if. Online, you can't tell the difference from them in a human.
Kyle Shannon: Mm-hmm.
Anne Murphy: Two things. One is I want to, uh, shout out Herb and Rick for their fantastic questions and also the other people on YouTube watching us live. Thank you. We appreciate you very, very much. We appreciate all of our listeners. Um, I would be curious to hear Ken, about your own personal.
Data hygiene, if you [:Ken Griggs: go, so first off, I use one password.
Anne Murphy: Okay.
Ken Griggs: You should be doing that.
Anne Murphy: We're, we're, we're going to,
Ken Griggs: it's going to take you an entire afternoon to move all of your things into, into one password and. It's worth doing. Please do it. Okay. Um, they, uh, and, you know, and let it have automatically generated long passwords and all of that. Um, pass keys were available. All that goes into, into one password.
at data is. Um, you know, is [:Um, I don't know if, uh, there, there's a bunch of 'em. Proton, there's, there's, there's definitely some that you might trust more and some that you might trust less. I happen to choose Mova. Um, the, uh, all of my, all of my stuff is all connected, uh, with wires. I am, I'm a big believer in wires, so I don't have, I don't have wireless mice, I don't have wireless keyboards.
I don't have any of that. I have,
Kyle Shannon: and that's, that's because those are all attack vectors even,
Ken Griggs: and the less, the less I can open up, the better. So my keyboard, right, that I plug into my computer, right. There's no question what that is. Um, you know, it's the, uh, 'cause think about it. You type, you type your password on your keyboard,
Kyle Shannon: right?
oard, if it's, um, you know, [:Um, right. So the, um, so those are some of the things I, you know, I try to close accounts that I'm not using, you know, the yam. So, which is really helpful actually in OnePass because you can see all these old accounts
Kyle Shannon: mm-hmm.
Ken Griggs: Close, right. Um, because all of those companies are happy to sit on your data for whatever interactions you had with them all those years ago.
Anne Murphy: Wow.
re's a lot of, a lot of data [:Anne Murphy: These are not horribly inconvenient. Things that you do, either, you know, you're not wearing tinfoil or something, or, you know what I mean?
Like, like I, I have mine. This is because I'm Gen X, my mouse is attached by a cord to my, to my computer. Now I'm, now I know. Oh, I know. It's for safety purposes.
Kyle Shannon: Yes. You got good data hygiene as a result, right,
Anne Murphy: man.
Kyle Shannon: Wow. Um, well, why don't we shift gears here. So one of the things we do, um, every episode is, is we ask our guests the same question.
someone just getting started [:Ken Griggs: Um. Honestly, I probably should have thought of that ahead of time.
I think. Um, so first off, AI readiness might be, you know, trying to figure out what you think you can and cannot trust. Um, I have to say that as CEO of, of, uh, Julia Social and not bot. Um, the, uh, the other thing, um, I think AI readiness is play with it. Use it, do stuff, um, you know, um, go it. What I have found is that the, the, the best way for me to really understand what AI can and cannot do is to spend time changing up how I interact with it.
ething big to ai, it's gonna [:That's something that I have found has, has worked. But, so ai, AI readiness for a person, in my opinion, probably has a lot to do with spending the time to really understand how to get the most out of it. Because this is a part of our everyday lives from now on. Uh, don't, don't pretend it's going away.
Kyle Shannon: Yeah, yeah.
You
Ken Griggs: don't imagine any of your listeners would, but
Kyle Shannon: that, that's, that's awesome. Um, uh, so, so one final thing here is, um, not bought aside, Julia, social aside. What is the, what is something in AI right now you're most excited about or like trend you're hearing about something going on in AI that you're most excited about?
Ken Griggs: [:Kyle Shannon: Mm-hmm.
Ken Griggs: Right. Those kinds of projects. That's huge. There's a huge unlock in there.
Kyle Shannon: Yeah.
Ken Griggs: Um, and I cannot wait to see what, uh, uh, what's gonna happen there. Um, to answer the flip question, if I may, um. Open claw and molt book and those kinds of things, you, my greatest fear is around, um, security, right? Mm-hmm.
Like [:Kyle Shannon: Here now not coming.
Ken Griggs: Um, and I think there's, there's gonna be some really, really unfortunate losses mm-hmm.
Um, that happen as we learn.
Kyle Shannon: Learn our lessons,
Ken Griggs: how to manage that. Yeah.
Kyle Shannon: Yeah. Absolutely. Fascinating. Well, this, this has been just fascinating, Ken. Thank you so much for, for sharing and, and giving us some sneak peek into some things that are coming from, from Julia Social. It sounds amazing
Ken Griggs: coming soon.
Fantastic.
Anne Murphy: Thank
Ken Griggs: you so much.
Anne Murphy: We love a be a behind the scenes. Now, when can people anticipate getting their hands on a not bought qr? When, because right now your referral and I think we have referral codes, or We did,
Ken Griggs: um, [:Awesome. The, um, uh, there is a, a wait list you can sign up on our website. Um, and at the moment, honestly, I'm sending them out pretty much as they come in. Um, okay. So the, uh, so definitely people can sign up to, to get a referral code there. Um. And then finally, um, we'll be opening it up, uh, without a referral code when not, but server comes out in a little over a month.
Anne Murphy: Awesome.
Kyle Shannon: Beautiful.
Anne Murphy: Keep up the good work. I know it's incredibly difficult to, to build and to fundraise and to, and to do sales and attempt to eat, sleep and exercise. I'm guessing those things do take a little bit of a hit. Um, but you know, on those rough. Rough days know that like the thing that you're doing in the world is so incredibly important.
Ken Griggs: Yeah.
Anne Murphy: I mean, you are, you are doing the thing that we must have done, and I, and I really, really appreciate what you have put into this. It's, it's really awesome. I can't wait to share it with the world.
Kyle Shannon: Yep. [:Anne Murphy: Yeah, thank you so much. Congratulations
Ken Griggs: and thanks for having me. Thank
Kyle Shannon: you. Yeah, you got it.
Cheers, Ken.
Anne Murphy: Cheers.
Kyle Shannon: Cheers. Bye-Bye.