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Why One Internet Pioneer Thinks the Original Model Broke

a16z’s Joel de la Garza sits down with DoxxNet founder Barrett Lyon to discuss what it would take to rebuild the internet around privacy, direct communication, and less dependence on centralized intermediaries. Barrett explains why he thinks traditional VPNs only solve part of the problem and how DoxxNet is building a parallel mesh network where users can communicate peer-to-peer, transfer large files, make calls, and message without routing those interactions through a central application server. He also explains why the company owns its infrastructure and runs its AI systems locally rather than relying on third-party inference providers. doxxnet_assembly They also get into the growing amount of tracking embedded across the internet, what happens when that data can be analyzed by increasingly capable AI, and why Barrett believes the underlying protocols of the internet are due for another wave of experimentation. Along the way, he shares lessons from decades of building internet infrastructure, from fighting early DDoS attacks to mapping the internet and building global networks. Timestamps: 00:00 - Intro 00:51 - Barrett's engine failure over Oakland 07:08 - What Doxxnet actually is 10:11 - When censorship comes home to the US 12:59 - Why VPNs don't cut it 17:56 - The FBI's trojan messaging app 22:05 - Running a network with AI, no sysadmin 25:03 - The data center misinformation campaign 28:40 - Ad trackers know you better than your spouse 32:35 - Prolexic, Russian hackers, and MoMA Resources: Learn more about DoxxNet: https://doxx.net Follow Barrett Lyon on X: https://x.com/BarrettLyon Follow Joel de la Garza on LinkedIn: https://www.linkedin.com/in/3448827723723234/ Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Show on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Show on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.

Joel de la GarzahostBarrett Lyonguest
Oct 1, 202645mWatch on YouTube ↗

EVERY SPOKEN WORD

  1. 0:00 – 0:51

    Intro

    1. JG

      We're really at an inflection point because you have the birth of essentially coin-operated intelligence at scale.

    2. BL

      The internet has really kind of stagnated a bit from protocol design. There's like not a lot of new stuff. All of it's built on top. Erasing that is kind of what I'm trying to go for.

    3. JG

      What you're saying is you've actually built this transient way for folks to connect and chat without there being any record.

    4. BL

      The really big problem is on WhatsApp, Signal, iMessage, Telegram, and all of those applications disguise themselves as you sending something to somebody else, but you're really sending something to a server. But the question is like, okay, well, whose servers are those?

    5. JG

      It's coming at such an important inflection point for like the future of our country in tech, and to just have this conversation that seems to be manipulated to some extent.

    6. BL

      It feels very manipulated, and to me, the future of our tech is needing to build this infrastructure now. If we're crippling it-

  2. 0:51 – 7:08

    Barrett's engine failure over Oakland

    1. JG

      Well, today we're joined by Barrett Lyon, perhaps the most, one of the most interesting people in tech.

    2. BL

      [chuckles]

    3. JG

      Uh, I, I have a lot of stories to share, and I am always kind of blown away every time we catch up because you tell me a new story that just puts everything I've ever done in, uh, pale in comparison.

    4. BL

      [chuckles]

    5. JG

      Um, and I think the, the most interesting one I heard recently, and I had never heard it before, and this was during a period, I believe, where we were investors in your previous company, um, was you, you are a pilot, you have a pilot's license, and you decided to optimize your life by flying places. Um, and, and you had a, a, a, an unfortunate experience, I believe, flying back from one of our meetings.

    6. BL

      Yeah. Well, I mean, uh, one day I was driving to work in the Bay Area, and I realized it was almost 45 minutes, which used to be 15, and, uh, my family lives up in the Tahoe region, so I'm like, "Well, I think the plane can fly there in about the same time." [chuckles]

    7. JG

      [chuckles]

    8. BL

      "Maybe I could just commute that way." And that was before, um, before work from home was, like, codified by, uh, by, uh, COVID. So I had a phys- like, a need to physically be present. Um, so yeah, I started flying and-

    9. JG

      So your daily driver was a daily flyer.

    10. BL

      Right.

    11. JG

      Yeah. [chuckles]

    12. BL

      Yeah. So I put, like, 1,300 hours on, on a Cirrus. And, um, yeah, one day after a meeting here, I left and got in the plane, took off from San Carlos, and somewhere around over the, over Oakland Airport, the engine started acting up. And, you know, I thought maybe it was, like, just some sort of water in the fuel or something, but I climbed up, cleared bravo, and felt like I was okay, and then right after that thought, lost pretty much all power. And, uh-

    13. JG

      And what went through your head immediately after that? [chuckles]

    14. BL

      Uh, yeah.

    15. JG

      [chuckles]

    16. BL

      Actually, I messaged my friends and said, "Hey, guys, I have an emergency."

    17. JG

      Yeah.

    18. BL

      "Love you." Um, uh, I, I don't know, I just declared emergency and just tried to think, "Okay, where do I crash and not hurt people?" [both laughing] I found a field, and then it turns out, you know, I was up pretty high, and there was a, you know, giant airport right next to us, not Oakland, but it was, um, Buchanan Field. Uh, s- uh, I forget the name of the town. And, uh, it's a giant old military airport.

    19. JG

      Oh, in Alameda.

    20. BL

      No, it was-

    21. JG

      The other one

    22. BL

      ... the other one.

    23. JG

      Okay. Gotcha.

    24. BL

      Uh, on the other side of the mountain range there. Uh, Buchanan Field is the name of it, I believe. But, um, anyway, landed there, but so, but before that, I kind of went to this field and I was like, "All right, well, I've got a parachute, ballistics parachute."

    25. JG

      Yeah. [chuckles]

    26. BL

      "Do I pull it?" And I was thinking, "All right, well, when I read all these crash reports, the reason the pilot dies is 'cause they didn't use the parachute."

    27. JG

      Absolutely.

    28. BL

      [chuckles] I'm like, I'm like kind of like, well, the airport's right there-

    29. JG

      Yeah

    30. BL

      ... and I'm still in the air flying.

  3. 7:08 – 10:11

    What Doxxnet actually is

    1. BL

      Well, okay, so Doxx.net, first of all, uh, maybe I should explain the name of it.

    2. JG

      Yeah, sure. Yeah, please.

    3. BL

      Uh, you know, I was, uh, as a kid, uh, my hacker name was Doxx, and then I started a business in high school with my high school friend, uh, called Doxx.net, and we were renting... It was before cloud, and we were renting ser- server, basically giving user accounts for, for money.

    4. JG

      Yeah.

    5. BL

      Um, totally legit business, in, in high school. We were making pretty good money.

    6. JG

      Were these shell accounts?

    7. BL

      Yeah.

    8. JG

      Yeah. [laughs]

    9. BL

      Shell accounts. So we were selling shell accounts for $5 a month, but we had 1,000 users.

    10. JG

      Yeah.

    11. BL

      And we had all these features, and people liked it, and there was actually a little community around it for a while. Um, but I sh- you know, I got out of high school and shut it all down and started my career, and but I kept the domain. And also, I'm very fascinated about protocol design and the fact that the internet has really kind of stagnated a bit from protocol design. There's, like, not a lot of new stuff. All of it's built on top. So there's that, and then just noticing the shift of censor- censorship-

    12. JG

      Mm-hmm

    13. BL

      ... and people's privacy being eroded and all of this kind of thing kind of, and then the uprise of VPN-

    14. JG

      Yeah

    15. BL

      ... uh, made it really interesting to make a, a kind of an alternative network-

    16. JG

      Yeah

    17. BL

      ... that kind of is designed from the ground up to protect people, uh, from advertisers, trackers, malware, uh, and, you know, foreign adversaries trying to learn about what you're doing. Um-

    18. JG

      Yeah. Well, I mean, the original promise of the internet was this incredible marketplace of ideas, unrestricted, no censorship, right? I think a lot of original... Or a lot of the original people around the founding of what became the internet were, were, you know, free speech maximalists. It was sort of a, a very, um, very specific crowd, and I think over the last couple years that, to your point, is, has shifted pretty incredibly, right?

    19. BL

      Yeah, and it's in the hands of a few. Um, so, you know, for example, China's a good example. There's China Netcom, China Telecom, and, and those... Or is it China Netco? Yeah. Anyway, either way, the um, it's a pretty good chokehold-

    20. JG

      Mm-hmm

    21. BL

      ... of the entire population, using that network as an opportunity to force people into different decision-making processes.

    22. JG

      Mm-hmm.

    23. BL

      And the internet originally, like you said, was kind of designed with this, like, more open kind of concept, so bringing that back is some- one of the things I was kinda interested in doing. Um, trying to figure out new ways of doing things that might kind of leverage before the internet, you know... Way back in the day, wireless networking-

    24. JG

      Mm-hmm

    25. BL

      ... was what? Uh, AlohaNet or something like that. It was, like, wireless through, um, uh, packet modems and things.

    26. JG

      Yeah.

    27. BL

      But now we have, like, really high powerful Wi-Fi on the edge, um, incredible opportunities to create better mesh protocols-

    28. JG

      Mm-hmm

    29. BL

      ... and, and better P2P and, and kind of the, really one of the biggest stains of the entire internet is carrier-grade NAT.

    30. JG

      Mm-hmm.

  4. 10:11 – 12:59

    When censorship comes home to the US

    1. BL

      for.

    2. JG

      Gotcha. Um, and also, I think, you know, one of the interesting things is we always talk about sort of foreign governments restricting internet access, right? We, we, we harp on China and Russia. Um, but I was in a, in a state recently that has a know your customer rule, and they were requiring or blocking access to certain websites, um, you know, whatever they define as being inappropriate. It could be a health website. It could be whatever. Um, and so we're actually seeing the cro- the creep of kind of this censorship even within the United States.

    3. BL

      Yeah, it's creeping into the US, and it, it's being done in, in a way that's kind of odd because you're asking, a lot of times they're asking the network to solve, uh, an identity problem, and the network doesn't do identity.

    4. JG

      Yeah.

    5. BL

      You know? It's not like-

    6. JG

      It has a hammer, and it's gonna-

    7. BL

      Yeah

    8. JG

      ... it's gonna hammer the nail. [laughs]

    9. BL

      An IP address is not your, your driver's license, and asking people to do network restrictions based off of age and things like that, it makes a lot of sense, but in a different place in the stack.

    10. JG

      Yeah.

    11. BL

      You know, if they wanna present, you know, restrict things for certain reasons-

    12. JG

      Mm-hmm

    13. BL

      ... then that should be done in a much different way and not asking the network to do it. So yeah, I, I, I think that we're starting to see that in the United States. We're seeing it definitely elsewhere.

    14. JG

      Mm-hmm.

    15. BL

      Um, and it's also not just with, like, age restrictions, but a interesting problem popped up the other day where Google or Cisco Umbrella broke for, like, a major carrier 'cause they classified that carrier as France. They're not even in France really as far as their corporate structure goes, but France had a, a rule requiring them to block, like, 100-plus piracy sites, and they said, "No, we're gonna go scorched earth. We're just gonna block France." [both laughing] Well, then there's the blast radius of that, which is, okay, well then, if your geo provider accidentally identifies somebody as the wrong location, then you're also now- Part of that policy.

    16. JG

      Oh, yeah.

    17. BL

      And it's terrible.

    18. JG

      Those, those classifications are always the worst. I mean, we were looking at inve- we were looking at an investment opportunity in a company that makes chatbots that are focused on more like partnership type stuff or companionship type stuff, and half of the classifications engines classified it as adult content. And, and you're just sort of like, okay, well, this is like a legitimate like, you know, e- e-partner, e-spouse site. Like, it's not doing the untoward stuff.

    19. BL

      Yeah, we've run into that a little bit too with Doxx-

    20. JG

      Yeah, yeah, yeah

    21. BL

      ... 'cause it's got two X's in it, and then also-

    22. JG

      Oh, you're hitting a signature

    23. BL

      ... there's doxxing.

    24. JG

      Yeah. [laughing]

    25. BL

      Yeah. But it actually worked out in our favor because we got flagged, I think, with, uh, Claude, and then we applied with, you know, the proper means to go through their, uh, their registration process, and they opened up everything for us.

    26. JG

      Oh, nice.

    27. BL

      Which was quite nice. Yeah.

    28. JG

      That's great.

    29. BL

      Yeah.

  5. 12:59 – 17:56

    Why VPNs don't cut it

    1. JG

      And so maybe, I mean, I think so, so, you know, the, the, the, this creeping sort of, the creeping information totalitarianism, um, has given birth to a whole bunch of products of which we know we're all super familiar with, right? And VPNs is probably the most, most, most common. Um, and so maybe it'd be great to hear a little bit about sort of why the existing tools aren't enough. Why are you building Doxx? How is it different? Maybe we could double click a bit on, on sort of your thoughts around it, 'cause-

    2. BL

      Yeah, sure

    3. JG

      ... I think that's the interesting part.

    4. BL

      So a lot of the VPNs, um, I would say are just entry and exit points.

    5. JG

      Mm-hmm.

    6. BL

      So they're operate, they lease a server from a landlord and, uh, set up a pol, you know, their software on it, and then you connect to it encrypted, and then your requests and things that you do on the internet come from out that node.

    7. JG

      And that's to solve the, your IP address is your identity problem that we sort of discussed earlier.

    8. BL

      Yeah, kind of, kind of as a, a way around that, I guess.

    9. JG

      Yeah.

    10. BL

      And but it's also kind of people feel like there's more security to that.

    11. JG

      Mm-hmm.

    12. BL

      And I could argue against that, but, um, you know, it's very basic. It's not... If you think about it, uh, that, those networks are real-time adjustable. You could apply APIs to everything, and, uh, all of a sudden you could say, "All right, well, here's an API that your agent can use that can build an entire network." And you're just using the VPN protocols as a way to get into that area. And then inside, we can create either, you can call it a walled garden or a parallel internet or whatever you wanna call it, but we built an entire mesh network, 196 different domains that don't exist on the internet. You can register domains, you can lease IP addresses, you can lease mesh addresses or public addresses, uh, create policy all within like milliseconds.

    13. JG

      Gotcha.

    14. BL

      So it's a whole different ecosystem in there. And then on top of that, we've been able to use that, uh, system since we, we can kinda control it, um, to create P2P applications that actually work. So like phone calling, video call, chat, uh, all of those things that sit best of class on top of the app run across the mesh network, and it's all encrypted.

    15. JG

      Gotcha. Okay.

    16. BL

      No phone numbers, no, no email addresses, no names, no, uh, no nothing.

    17. JG

      So it's, it's funny. It's funny, and that's, that's, that's, that's phenomenal because I think, you know, we're, we're, we're both pretty well steeped in the security space, and, um, you know, I think I come from sort of a... I've had it drilled into my head that if you wanna have a private conversation, don't do it anywhere any, with anything with a battery or an electrical signal, right?

    18. BL

      Right.

    19. JG

      Um, and so, and so what you're saying is you've actually built this sort of like transient way, um, for folks to connect and chat without there being any record.

    20. BL

      Yeah. So you create your account. You just have to prove you're human by doing a little puzzle.

    21. JG

      Mm-hmm.

    22. BL

      Uh, once you do that, you get a token, and it's yours. Uh, you can change it, um, you can delete your account, make a new one. Uh, but once you're in there, you can create a certificate and share it with a friend. You don't really know you're doing it. It just says, you know, "Invite friend."

    23. JG

      Yeah.

    24. BL

      And it looks kind of like normal. But it's actually doing a cryptographic exchange with each other, and then you have extra privileges.

    25. JG

      I, I think the key lesson of PKI was actually if you tell people it's PKI, it's not gonna work. So yeah, you have to kind of abstract that layer away, right?

    26. BL

      Yeah. It's, it's, it's... Well, it's not even PKI, it's private key infic- like, it's not public.

    27. JG

      Yeah.

    28. BL

      So anyway, you, you, you and your friend just decided, "Okay, we trust each other."

    29. JG

      Yeah.

    30. BL

      Now that unlocks the ability for the phones over the mesh network to talk to each other directly. And then all of a sudden you have all these really cool fire, file transfer stuff which has no file size limit. The really big problem is on WhatsApp, Signal, iMessage, Telegram, and by the way, Telegram's creepy. Um, all of those applications disguise themselves as you sending something to somebody else.

  6. 17:56 – 22:05

    The FBI's trojan messaging app

    1. BL

      about that too.

    2. JG

      Which is what's interesting. I mean, you mentioned that, you know, Telegram is creepy. Um, I, I, I, uh, I would say I think I find all It just seems like a lot of the VPN, I don't want to say all because it's an absolutist term, but it seems like a lot of the VPNs are very creepy, right? And, and without bashing on anyone specific, I think for me, the most illustrative story was in the, in the news, there was, there was actually an issue where, um, a bunch of organized criminals were arrested across the world. Australia, I believe, had arrested some, the US had arrested some, and it turned out that the FBI had built a secure messaging app, um, and then marketed it exclusively to organized criminal groups. And so these guys are like, "Don't trust Signal 'cause that's the NSA."

    3. BL

      [chuckles]

    4. JG

      "Let's, let's use, let's use this app 'cause this is safe, and only five people use it." And it turned out that they all got indicted 'cause, and they are, I think most of them are in prison now. Um, and so like in the US, right, we've seen this activity. Uh, and then if you look on any app store and you look for VPN, you probably find 50 VPNs-

    5. BL

      Yeah

    6. JG

      ... that are all-

    7. BL

      They're free

    8. JG

      ... hosted abroad.

    9. BL

      Well, if it's free, there's nothing free.

    10. JG

      Yeah. [laughs]

    11. BL

      And if you're not paying for it, you are the product.

    12. JG

      Yeah.

    13. BL

      You're being eaten alive. You know, the United States has pretty cool laws. We can use them to protect people. And so DoxxNet's US-based, but we also have a Swiss company that handles all of European operations, so there's separation between the operations between the two regions. We're doing other regions like that too. So it's, it's, you know, corporate governance actually matters in these, these types of sit-

    14. JG

      Totally

    15. BL

      ... situations. But like, you know, I just don't feel comfortable with my data going to a company that doesn't talk about who owns it, [chuckles]

    16. JG

      [laughs]

    17. BL

      Why they exist-

    18. JG

      Yeah

    19. BL

      ... other than privacy.

    20. JG

      Yeah.

    21. BL

      Um, you know, we've made a very, very conscious decision that we're very open about what we're doing, who's involved, why, why the decisions have been made those ways.

    22. JG

      Yeah.

    23. BL

      And, and it's, and it's also kind of to drive community too. But, um, yeah, uh, there, it, there are creepy VPNs out there.

    24. JG

      Oh, yeah.

    25. BL

      Really creepy.

    26. JG

      I mean, and, and you know, and it's not just... I mean, it's funny because we like to talk about nation states. We like to talk about intelligence agencies, right? Like CIA, NSA, these are all super cool. Um, but in reality, like the risks are a lot more low level than that, right? Like in-

    27. BL

      True

    28. JG

      ... you know, for some of these, there were instances at the beginning of sort of the crypto, the initial cr- cryptocurrency waves where people's accounts were getting drained, and they were using some of these services, uh, that were in other countries. And it turns out that like, you know, in some of these countries, you have the meshing together of the intelligence state apparatus and organized crime, right? And so, [chuckles] and so you, you see where these things start to bleed into each other.

    29. BL

      Yeah, I mean, uh, and then people look at the policies for the VPNs, like, "Oh, no logs, no this," and the, but the question is like, okay, well, whose servers are those?

    30. JG

      Yeah.

  7. 22:05 – 25:03

    Running a network with AI, no sysadmin

    1. JG

      Yeah. Well, and I, I think that was, that was one of the funny things, I think, when we originally started talking about this was, um, you were, you were incredibly distrusting of large inference and AI providers.

    2. BL

      Yeah.

    3. JG

      Uh, and, and you've built your own AI stack.

    4. BL

      Yeah.

    5. JG

      That's, and so, so I mean, GPUs are short, in shortage. It's data, power is hard to get. Everybody's anti data center now. Like, how did you pull that off in probably six months? [laughs]

    6. BL

      Very efficiently. [chuckles]

    7. JG

      Yeah.

    8. BL

      Well, I mean, we built, uh, so far it's like 26 sites around the world with redundant-

    9. JG

      Wow

    10. BL

      ... routing and, uh-

    11. JG

      And how many employees in the company?

    12. BL

      Uh, total, I think the people involved is 12.

    13. JG

      Yeah. Wow.

    14. BL

      Yeah.

    15. JG

      Okay.

    16. BL

      And we have no network administrator, no sysadmin. It's all done by AI. So-

    17. JG

      Wow

    18. BL

      ... um, and it's actually working quite well. Uh, I've, I kind of, I'm kind of on top of every... The nice thing though, if you think about our footprint of like, uh, who's involved, you know, we don't have 1,000 employees with access to this network.

    19. JG

      Yeah.

    20. BL

      Me. You know, the, the, uh, the blast radius of, uh, the, just the corporate structure is, is very minimal.

    21. JG

      Yeah.

    22. BL

      So-

    23. JG

      No, that's, that's impressive, and I think, you know, the, I think the, the, you know, the thing we very rarely talk about 'cause it's kind of uncomfortable is just how great an extent insider threat is.

    24. BL

      Yeah.

    25. JG

      And how it's like the most crippling, catastrophic cyberattacks are always sort of the insider threat angle. And now you're saying with agents, like you're kind of eli- [chuckles] you're o- e-eliminating at least a, a good portion of that risk.

    26. BL

      Yeah, and it's running in its own, you know, secure environment that's not exporting data to like, uh, one of the big AI companies. So all the context and inference and stuff stays inside, and we have it secured, and we monitor all our equipment with cameras, and, uh, no one goes in and touches anything.

    27. JG

      Do you have agents that watch the camera footage?

    28. BL

      Actually, well, I mean, technically we don't, but the camera companies that made the agents do.

    29. JG

      Gotcha. Gotcha. Yeah. [chuckles]

    30. BL

      Yeah, we get alarms if something moves and something like, you know, something goes around. But, um, yeah, we even thought about putting lasers in a couple of the spots, but-

  8. 25:03 – 28:40

    The data center misinformation campaign

    1. JG

      [both laughing]

    2. BL

      That's the other thing that's driving me crazy is people, like, don't understand data centers at all.

    3. JG

      Oh, yeah.

    4. BL

      It's crazy.

    5. JG

      I mean, I think you're seeing that in the popular press, right?

    6. BL

      Oh, yeah. Oh, they drink water.

    7. JG

      Yeah.

    8. BL

      It's like, come on. No. It's... A data... The data center's been around for a very, very long time, and yeah, they need water when they break, and you have to replenish some of the water, and there's some evaporation, but it's not like they're running off of water.

    9. JG

      Well, and, uh-

    10. BL

      That's the crazy part

    11. JG

      ... yeah, and it's, it's just sort of like... I think, I think in, in order of, like, most impressive machines humans have built, like, one is probably commercial airliners, right? And two has gotta be data centers. Like, they're so incredibly sophisticated. They're closed systems, like-

    12. BL

      Yeah. Yeah. I mean, the data centers themselves are kind of just boring buildings.

    13. JG

      Yeah.

    14. BL

      And the, uh, the other thing is, like, the sounds, I've never heard sound outside of a data center before.

    15. JG

      Yeah.

    16. BL

      Maybe a chiller or something. But I see videos where people are watching videos, and it's like, "Look at how..." And it's audio from inside-

    17. JG

      Yeah

    18. BL

      ... being dubbed, and people aren't smart enough to know that-

    19. JG

      Yeah

    20. BL

      ... that it's, uh, it's fake.

    21. JG

      Yeah. I mean, yeah, that's all contained within inside these things, right?

    22. BL

      People are being manipulated with this data center thing.

    23. JG

      Isn't it amazing, right? And I think, like, it's gonna be f- I think m- over, as the years progress, it's gonna come out that this was all just some sort of, like, very interested group of, of, of organizations or interests-

    24. BL

      I completely-

    25. JG

      ... are manipulating public opinion to some end.

    26. BL

      Yeah. But it's very interesting to be in the know and then watch this-

    27. JG

      Yeah, yeah

    28. BL

      ... and then go, "Oh my goodness. These people are mi- missing the mark."

    29. JG

      Have you seen... I mean, 'cause you, you've been to 20-something data centers in the last couple months. Have you seen actual protesters outside?

    30. BL

      No.

  9. 28:40 – 32:35

    Ad trackers know you better than your spouse

    1. JG

      Well, and this is the second half. I mean, I guess the... I know we, we had talked about sort of intelligence agencies and the big, bad, scary government, right? But like... And now we're talking more about clearly an operation that's probably being done by some sort of commercial interest to manipulate public opinion.

    2. BL

      Yeah.

    3. JG

      Right? Which goes to kind of the second half of why you built Doxx, which is, like, you know, advertising.

    4. BL

      Oh, yeah.

    5. JG

      Which is, which is sort of like the, the, like... People like to think the NSA is incredibly sophisticated, but, you know, advertisers are probably far ahead of what they're doing. And I think you're seeing now where intelligence agencies are actually using data brokers and using the techniques of ad agencies.

    6. BL

      Yeah. So, like, all your apps have these trackers in them. Uh, WhatsApp has dat.whatsapp.net. Apple even has Apple Telemetry. They call it telemetry or metadata, whatever they wanna call it, but it's, it's some level of it is a tracker.

    7. JG

      Mm-hmm.

    8. BL

      And you can block them. It doesn't break the app. Doesn't break... Most websites don't have any problem with that telemetry data breaking 'cause the rest of the site will still load. But, you know, somebody asked me, very controversial, wealthy individual said, "Well, so what? Someone won't, won't know that I purchased, uh, underwear off of target.com." And then I'm like, well, it's not really that one, it's all of them. When you combine all of the tracking that's being done on every different app that you're using or every different website, and it accumulates, and then it's being stored by who knows who, where, and being sold, and then when you aggregate all those data points together, you could know if you're a coffee drinker, what time you wake up in the morning, uh, what, what your income is, where you shop, um, how often you purchase things. And-

    9. JG

      If you're preparing for the birth of a child or perhaps for a divorce or-

    10. BL

      Right. It-

    11. JG

      ... some other big life event, right? Maybe even better

    12. BL

      They probably know these events m- sooner-

    13. JG

      Yeah

    14. BL

      ... than your spouse would.

    15. JG

      Yeah, yeah.

    16. BL

      Um, so turning that off doesn't bother me at all. [laughs]

    17. JG

      Yeah. [laughs]

    18. BL

      I love all that stuff being turned off. I hate that kind of stuff, so that's a big piece of the app is, or the, the network, it's not just part of the app, it's part of the network, is to kind of deconstruct all of that and get rid of it.

    19. JG

      Mm-hmm.

    20. BL

      And just kinda like the get back to the old internet that has, uh, the ability to connect to things and has the ability to, you know, create-

    21. JG

      Mm-hmm

    22. BL

      ... and, and then also, you know, not be spied on by, you know, advertisers and governments and everybody else. Uh-

    23. JG

      Well, and it seems like we're really at an inflection point because you have the birth of essentially coin-operated intelligence at scale, right? You can deploy millions, you've got the preve- you, you got the proverbial millions of, of monkeys with millions, or infinite monkeys with infinite typewriters. Um, and, and so we're sort of looking at this world in which there's more telemetry, there's more data, everything you do is being tracked, and you can combine that with intelligence, right? To, to actually arrive at some pretty scary conclusions.

    24. BL

      Yeah, you can take all that and just dump it into an LLM and say, "Tell me about this person."

    25. JG

      Yeah.

    26. BL

      [laughs] And you get an answer.

    27. JG

      Probably do really effective targeting against things like data centers as well, right?

    28. BL

      Yeah.

    29. JG

      [laughs] Like, you start to see these mass movements orchestrated across multiple platforms, and you start to think like, "Huh, that's, that's pretty clever." [laughs]

    30. BL

      Yeah. But, but people should be targeting those, maybe not the data centers, but the tr- tracking is pretty bad, ad tracking. It's, you know, that, that kind of stuff really can go away and your life would be better.

  10. 32:35 – 44:51

    Prolexic, Russian hackers, and MoMA

    1. JG

      So I don't know if you know this, but our paths crossed a long time ago. Um, I r- I, I was looking back through some of my archives and, and I, I did a lot of work, um, sort of in the early 2000s on DDoS bots. So Stacheldraht, TFN, TFN2K, um, and then obviously a large, large denial-of-dessert service distributed account attacks. And you were at the forefront of building a lot of the solutions to prevent that, like at Prolexic.

    2. BL

      Yeah.

    3. JG

      Um, like how did that get going?

    4. BL

      Well, actually it kinda goes back to Doxxnet. In high school, people were attacking my servers.

    5. JG

      Yeah.

    6. BL

      And so we had to figure out better ways to protect them, and techniques and tricks and, and, uh, all the different things you need to do to survive a DDoS attack. And, uh, I started writing, uh, kind of my list of what you would do to survive, and then somehow I, I presented that at SANS.

    7. JG

      Mm-hmm.

    8. BL

      And then it got in, in Google, and then people started calling me. And, um, then we started dealing with real cybercrime.

    9. JG

      Mm-hmm.

    10. BL

      Extortion, people trying to take, you know, one company sells watches, the other sells watches, the other one is attacking the other watch company during Christmas sale season. Um, or, you know, Super Bowl's about to start and all the gambling sites go dark.

    11. JG

      Yeah.

    12. BL

      Um, things like that. And it got pretty serious and, and so I built a whole company to protect businesses from these attacks. And the way I looked at it is like you need big scale. You need to have the biggest, most expensive stuff, and not everyone could afford that. So we'll turn that into kind of a leased service as a, as a, you know, it's one of the first cloud services to exist. And, uh, it was pretty s- very successful. Still exists today. It's Akamai Prolexic.

    13. JG

      Yeah. Absolutely.

    14. BL

      They even kept the name. [laughs]

    15. JG

      [laughs]

    16. BL

      Which is rare. And then we did DefenseNet later on, uh, which became F5 Silverline. And, and then so in between all that, I really liked big scale stuff-

    17. JG

      Yeah

    18. BL

      ... and, and bandwidth. And, uh, so the other one we did was called BigGravity, and that was one of the first, or the first video-centric CDNs. So big file, big m- object delivery, and we had some really great customers there early on. People got it, and then we had a lot of tech around it to save people money. F- m- you know, people didn't realize hit play and you're s- downloading a progressive file and it, before all of this kind of media management stuff existed, you're just wasting bandwidth just to scroll into the middle of a video. [laughs]

    19. JG

      Yeah, yeah.

    20. BL

      And it cost people money. So anyway, we created all kinds of cool stuff around video and, um, so as far as like building a, a new network for consumers, it... Well, actually, and it's a little bit for bots too. Um, there's actually a lot of agentic networking components to it. Um, it's, uh, right up my alley 'cause I love building big infrastructure, I love build- building, uh, scaled stuff. But now it's kinda like s- twisting it. Instead of doing this for corporations, we're doing it for people. And I haven't really seen a lot of that being done, at least well. So it's gonna be fun to see kinda how people adapt to it. But, um, I think one of the more interesting things about that is, uh, we might even see some DDoS on our network. [laughs]

    21. JG

      I'm sure you're ready for that. [laughs]

    22. BL

      Uh, well, inbound from the internet, but what happens if somebody gets onto my network-

    23. JG

      Yeah

    24. BL

      ... and starts using it inside, and now I have to deal with those, those silly people.

    25. JG

      Yeah.

    26. BL

      But, uh, you know, the truth is, even if you have privacy, there's still laws, and you need to- At least follow them as much as you can. [laughs] So

    27. JG

      Well, and I think one other interesting thing, so you know, it's, it's sort of the... And this is the kind of spending, spending years talking with you. One other interesting thing is that you created an artwork-

    28. BL

      Yeah

    29. JG

      ... that, that actually hung in the, at the, at the MoMA.

    30. BL

      Yeah.

Episode duration: 45:05

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