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Podcast Notes: The AI Daily Brief - Episode: What Freedom Means In the Age of AI [feat. Venice.ai Founder Erik Voorhees]
Episode Overview In this episode, Erik Voorhees, co-founder of Venice AI, discusses significant issues surrounding artificial intelligence (AI) and personal freedom. The conversation delves into the implications of AI regulation, privacy concerns, and the risks of centralized control of AI technologies.
Key Participants
- Host: NLW
- Guest: Erik Voorhees (Founder of Venice.ai)
Main Topics Discussed
- The Arrest of Pavel Durov
- Context: Pavel Durov, founder of Telegram, was arrested, sparking discussions about the power dynamics between governments and internet platforms.
- Erik's Perspective:
- The internet allows for private communication, which some governments view as a threat.
- Concerns about platforms being held responsible for the actions of their users.
- California's SB 1047 and AI Regulation
- Overview: SB 1047 is a California bill focused on regulating AI to mitigate existential risks.
- Concerns Raised:
- The bill is seen as reactionary, driven by fear rather than concrete evidence of harm.
- Erik highlights potential loopholes in the bill and questions the ethical framework behind setting arbitrary thresholds for AI models.
- Centralization vs. Decentralization of AI
- Risks of Centralization:
- Large AI companies may become entangled with government oversight, leading to surveillance and control over users.
- Erik argues for the importance of open-source alternatives to centralized AI systems.
- The Future of AI and Personal Freedoms
- Erik's Vision:
- Emphasizes the need for alternative, decentralized systems to ensure privacy and freedom in the face of powerful AI.
- Critiques the belief that sacrificing freedom leads to increased safety, citing historical examples of government overreach.
- The Role of Open Source in AI Safety
- Importance of Open Source:
- Erik argues that open-source development is essential for transparency and preventing misuse of AI technology.
- Believes open-source provides safeguards against totalitarian control and promotes diverse perspectives.
Key Takeaways
- Centralization of AI: The growing power of centralized AI poses significant risks to individual freedoms and privacy.
- Regulation Challenges: Attempts at regulating AI, such as California's SB 1047, could lead to unintended consequences that stifle innovation.
- Decentralization Advocacy: Open-source alternatives are crucial for maintaining personal freedoms and ensuring ethical use of AI.
- Societal Impact: The evolution of AI technologies should be viewed as an opportunity for human progress, rather than a threat to job security.
Conclusion The conversation emphasizes the importance of maintaining personal freedoms in the rapidly evolving landscape of AI. Erik Voorhees advocates for decentralization and open-source technologies as critical components in safeguarding privacy and ensuring ethical AI development. The implications of government regulation and centralized control pose significant challenges that require careful consideration and proactive measures.
Further Engagement
- Follow Erik Voorhees: [Twitter](https://x.com/ErikVoorhees)
- Visit Venice AI: [venice.ai](https://venice.ai/)
- AI Daily Brief Resources:
- Subscribe to the podcast: [AI Daily Brief Podcast](https://pod.link/1680633614)
- Join the community on Discord: [AI Daily Brief Discord](https://bit.ly/aibreakdown)
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This summary encapsulates the primary discussions and concepts from the podcast, providing a structured overview for readers interested in AI's impact on freedom and the implications of regulation.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Today on the AI Daily Brief, a conversation with Venice founder Eric Voorhees. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. To join the conversation, follow the Discord link in our show notes.
0:20Welcome back to the AI Daily Brief. Today we're doing something a little bit different. I have a conversation with Venice co-founder Eric Voorhees. The idea for this conversation had been building for a while. One specific catalyst was the arrest of Telegram founder Pavel Durov, which, as you'll see, I think has much bigger implications for the state of the relationship that we have with internet platforms in general. But some of the conversations surrounding that also were reflected, I think, in the debate we've been having around California's SB 1047, which is, of course, AI regulation. Now, Eric and Venice are sponsors of the AI Daily Brief right now, but this episode is not sponsored in the sense of it being a precondition of the sponsorship that they got to be on the show.
1:01Their sponsorship was totally standard. It's just the mid-roll ads that you hear every day. I wanted to have Eric on to have this conversation because he's been interested in and fighting around these types of issues for a very long time. It precedes, in other words, his relationship with artificial intelligence. So in this show, we talk about the arrest of Pavel Durov, the implications of SB 1047, and how Eric thinks about the fight for the future of AI and freedom. I think that even if you find yourself disagreeing with Eric, you'll come away better for having heard how he thinks about these particular issues.
1:36Tomorrow, we will be back to a normal episode, but for now, enjoy this conversation with Eric Voorhees, the co-founder of Venice AI. Eric, welcome back to The Daily Brief. How are you doing? I'm doing great. Thanks for having me on the show again. Yeah, no, this one was, it feels particularly opportune to have you here to talk about this. And, you know, it's one that I think is really important. And so broadly speaking, what we're going to be talking about today is, you know, there's a set of sort of catalytic or catalysts that make this conversation matter right now. The arrest of Telegram's founder, also the debate that has been happening around AI regulation, specifically California's SB 1047.
2:17But the broader context is sort of a renegotiation of our relationship with the Internet and our expectations around platforms. And you are someone who both is engaged in this conversation as a citizen, as issues that you think about all the time and have for a long time, but also as a founder of the type of platform that's going to be implicated by how we come to conclusions about this. So I guess as a way to start, when you heard the news about Pavel Dura being arrested, what were your sort of first thoughts? Was this a feeling of inevitable? Was it a surprise? Give me a sense of just sort of like the immediate instantaneous personal reaction.
3:02Well, I think my general sentiment is that the Internet has carved out a lot of space where people can interact with each other without being seen at distance. And it basically allows people to just have their own space without anyone watching, if you're using it correctly or in certain ways. And this, I think, is really troublesome to governments that believe it's their right and their responsibility to observe everything that their citizens are engaged in. And so, you know, something like Telegram or Signal, these chat apps, it's not, you know, they're closed source, so it's not clear really how secure they are.
3:51But the belief among people using it is that they are secure, meaning they're private, they're encrypted, no one can watch the conversations. So hearing of Pavel's arrest, like, very sad. I mostly just had a lot of questions, right? Like what are the allegations? What are they upset with? And over the subsequent days, it sounded like they're upset that people used his platform for bad things. And that, of course, is a very, very dangerous foundation on which to build policy. because if you must be responsible for the uses of your platform, it turns everyone in the world basically into like a spying agency for their own government.
4:39To me, that seems so much worse than any particular criminal activity which might be going on on a specific platform. So it's like one of those cases where the cure is so much worse than the disease. So I'm glad that Pavel has been released, And I guess this will probably be a long, drawn out legal situation that we're all watching very intently.
5:03So one of the things that has been really interesting to watch over the last sort of five or, you know, five or more years, I guess, you know, first in the context of crypto, and now I think it's really coming to the fore with AI, is I think that, you know, at least me, and I want to speak for other people, I sort of took it for granted. I took the way that the internet had grown up more or less for granted, rather than understanding it as a byproduct of some amount of specific decisions that were made, particularly Section 230, which explicitly deals with this particular issue of whether platform owners are culpable.
5:40And my impression, the first time I remember sort of getting this impression was when there were Libra hearings being held when Meta wanted to create its own stablecoin or its own version of a stablecoin. And it was so clear from those hearings that the average person in Congress on both sides of the aisle wished that they had a time machine that they could go back and not have that regulation in place, basically to make organizations responsible, platforms responsible for their users. It feels to me now like we are heading into a sort of crescendo around this particular issue. And it feels like AI regulation is going to be the place that this comes to a fore.
6:24Is that something that you thought about as you were founding Venice? Is that something you think actively about now? I mean, how much is this sort of risk that you have to consider as you're building this company? Well, I'd be lying if I didn't say that a huge impetus for the creation of Venice in the first place was the assumption or the presumption that AI services would become entrapped and snared in all sorts of government regulation and would end up spying on their users entirely in a very Orwellian manner. and not only spying, but censoring and controlling and curating the conversations that people had with machine intelligence.
7:13So I think it's not that that's a risk that that could happen. That's what will happen. These large AI companies that are centralized will be and are being captured by the state. And because they're seeking profit and because they do not hold strongly to any moral or ethical principles of privacy, they will allow themselves to be captured so that they have the permission to continue operating. I think that leads to a very scary place. And Venice really was started as a permissionless alternative, open source, permissionless, uncensored, not spying on people, so that as the world wakes up to what's going on with the centralized providers, they have an alternative.
8:00And just as I've seen like Bitcoin as a lifeboat for the financial system as it falls apart and collapses in the future, so too, hopefully can Venice be an alternative to the sort of mass scale surveillance and control of machine intelligence. Let me ask you a question, which is maybe routing a little bit deeper into Venice, but it's something that I've seen some people ask and want to know about. there's this sort of world that you're describing uh that is is clearly the one that sort of we're in slash heading into where there's just ever more pressure around surveillance and what data you know basically the more data that is available about you the more data that regulators and authorities want right it's a very clear pattern um we've seen it in finance and you're seeing it With, you know, technology more broadly.
8:51The logic is about the bad stuff that doesn't happen in a world where they can control everything, right? You know, you have less of certain types of behavior that society finds objectionable, right? This is sort of the, it's always the logic. It's like you give up freedom in exchange for safety. the counter logic uh that you've articulated really well on this show and in other places is about what we give up to to sort of get that that safety and why that's sort of problematic for for society but i guess a thing that comes up sometimes is a question of how do how does society deal with those undesirable behaviors in sort of the world where it chooses not to surveil, where it chooses that that trade-off isn't worth it.
9:41Basically, it's like, what is the vision of a future where, what are the trade-offs really, I guess? How much is that, is it sort of, you give up safety in acceptance of freedom, or is that a sort of a false dialectic that's basically just presented by those who are going for the safety? The first issue is that people believe that if you give up the freedom, you get safety. And this is sort of just assumed that like if the government has more tools and more power, it can reduce the harms of society. I have not, in my experience as a human on this earth, seen that to be true much at all. It has not seemed to me, if you look at history or if you look at your own world and experience around you, that the larger and more powerful the government gets, the less problems there are in society.
10:33It seems quite the opposite. And as you approach the extremes, as you approach a totalitarian government, those have unequivocally been the darkest periods of human history. So I don't buy this notion that if you just give up your freedoms to this coercive, monopolistic, controlling organization, that society is safer. If it were, then we could have that discussion about like what are the right trade-offs here but um i just don't think that's i don't i don't think that's true uh and i think the the continued grasping of these governments to get more and more control betrays something which people should pay more attention to and that is uh that they are not effective in their stated purpose if governments were good at policing society they wouldn't need continuing powers over and over and over we're in this phenomenon where like government clearly fails to stop much bad activity.
11:28So they ask for larger budget. They don't ask. They force larger budgets and more control. Their results don't get any better. And they use that then as more justification for more budget and more control. And this process simply continues because everyone wants to believe that there's someone in charge above them, you know, like raining down justice on society. And I just don't think that that's true. It makes sense. So basically the the core argument is that the fundamental premise, you can't really get to discussing the trade-offs because the premise of the trade-off is just not real. Right, right.
12:03It's not a discussion of freedom versus safety. Yeah. Our only option is how much freedom do we give up? And our safety generally tends to be the same or worse. So it's a pretty bad deal. Sort of building off of this, and just for context, I think the reason that I'm asking some of these questions is sort of the foundation upon which later questions of how we should regulate, how we should think about AI regulation and things like that will be built. What do you think, as you sort of survey the landscape of problems with AI, negative externalities of AI, the types of things that people cite in their sort of attempt to say that the need for regulation, which do you find sort of more or less compelling as issues that society actually has to find some way to deal with, whether it's through regulation or not?
12:51I think the existential question of the scary AI that takes over and destroys humanity is a super interesting topic. However, and I think that it is totally plausible that an AI could potentially do that someday. That's very sci-fi, but it is plausible. At the same time, I don't think we're anywhere close to that right now, and there's no evidence of any such thing actually happening. So it remains in the theoretical and sci-fi world. And I think the fear of that outcome causes people to not react very rationally to the discussion of AI as it actually exists in the world. And I think the bigger risks and the bigger danger tend to be not that like AI will take over the world and cause all sorts of problems, but that AI is an extremely powerful tool under centralized control invites a totalitarian world that is very scary, not because the AI was bad, but because the people that were controlling it were bad.
13:56And those people always believing themselves to be good, right? Like all tyrants in history believe themselves to be good. So the world I'm worried about is one in which, and this isn't very far in the future, where large, powerful AIs are watching everyone. And that means watching all of your conversations and all of your chats, all of your conversations in your emails. It is analyzing your videos and your photos that are all being stored in the cloud. And it's a complete like digital panopticon. And then people who want to control society for all the good purposes that they believe they are involved in use that information to control people and shape them and design the lives of citizens.
14:46And it is a power which no person should have. No one is smart or wise or good enough to have that kind of power. And the potential for abuse and bad outcomes, I think, is huge and severe. So that's really, I think, if you were to graph likelihood and damage caused, that's the one that I think is the worst because it's very likely it's sort of like the inevitable path and the damage is is so bad that that's really what we should be paying attention to and the and the only antidote to that isn't that you create some regulation to prevent the bad actors it's to keep to permit people to have open alternatives to permit markets to function to permit freedom to prevent um to permit privacy and prevent this kind of like um
15:37grotesque panopticon from forming in the first place. You know, it's funny. If you define the sort of the chief problem of AI as such, that means Dennis is actually an AI safety startup. We are an AI safety startup. Yes. Absolutely. We're an AI safety startup. Yeah. So, okay. So wonderful like background context for the next set of the discussion that I want to get into, which is the debate that's been happening around SB 1047. I guess first, how closely have you been following it versus sort of it's a thing going on in the background and you're keeping an eye, but that'll help my framing. Yeah, I'm following it, I would say, medium closely.
16:20And it doesn't surprise me that it has emerged. Cool. So I guess a little bit of background for listeners who haven't been following along as closely. This is a bill in California that's primarily focused on big existential risk type issues of AI, right? So this was something that came out of AI safety circles, not as we just define them, but as sort of normally people talk about them, the EAs and, you know, the sort of open philanthropy kind of aligned part of the world and came through the California State Assembly in the form of Assemblyman Scott Wiener and was in the progress for a while, but really only sort of picked up steam over the last few months as a going concern.
17:08And in the lead up to this process, there have been a lot of different sort of debates around it. The two big issues that people cited, I think, in their opposition to this bill were, one, its focus on issues of X-risk and sort of the things that are often pejoratively labeled sci-fi over any sort of misinformation, deepfake kind of contemporary problems. That was where you saw a lot of the critique from, for example, members of the California congressional delegation who were opposed to the bill. And the second piece was a concern that it would really put a huge damper on open source development and open development, particularly around some of these issues of culpability for model creators that were being built into this.
18:03Now, part of why this picked up steam is that we don't have any sort of regulation that's being debated really on a national level. So the whole conversation focused in on sort of this California piece. But it was also amplified because you had sort of an increasingly louder set of people joining in the conversation. Notably, Elon Musk at one point came out in favor of SB 1047. When you were looking at the bill, Eric, or you kind of observing it medium closely, what What stood out to you as as particularly concerning about the way that it was sort of set up? So one, the premise that like you could regulate AI by having a California bill regulate AI is very silly because California is but a small place in a very large world.
18:49And even though the preponderance of commercial AI is built there currently, that could change without too much difficulty. so so even if you believed that that that the terms within that bill were good uh it'd be like trying to hold water in your in your fingers right it's like completely ineffectual um but i think most most concerning about it is that it basically like centers around the regulation of model training based on how much math is going into it it like sets these thresholds that if a model is trained with a certain amount of computation or parameters, or it costs over a certain amount, then it is subject to X, Y, and Z different regulations.
19:34That is such an easy thing to get around, right? Like, okay, if you can't train 10 to the 26th parameters, you train 10 to the 26th minus one parameter. And if you can't train a$100 million model, then you train a$99 million model. So again, it's like, what's the point really? And more importantly, like from an ethical perspective, how can you say that it is ethical to train a model that's like 10 to the 25 parameters, but not 10 to the 26 parameters? What is the ethical difference between those two things? And does anyone in the world believe that the politicians in California are wise enough in the framing of AI to decide where these kind of thresholds should be.
20:20The bill is obviously reactionary. It is obviously a reaction to people's fear about this new thing called AI and their hopes that government will come in and protect them from this fear when there's not actually a crime that's been committed. So yeah, I don't like the whole thing. I'm sad that Elon came out in favor of it. I'm like his biggest fan, but sometimes he just misses the mark completely. Yeah, I mean, whole separate conversation around the standards that we hold, people that we admire to having to be perfect and everything. But so I think that I want to tie this actually to something that you were mentioning before as you were talking about where you sort of sit with some of the X-risk kind of questions.
21:09You said basically that it is plausible to you that there's a future scenario in which some of those fears become manifest. However, it's very clear that that's not where we are now. And this tends to be the place that I find myself. I think that where I kind of diverge with a lot of the conversations around AI safety is that they seem to be predicated upon the idea that we're somehow going to sleepwalk into these terrible scenarios, that there won't be some moment of recognition. And the AI safety folks, I think, would say there have been all these moments where we've reset the goalposts and the fast takeoff and it'll move faster.
21:45By the time we recognize it, it'll be too late kind of a thing. But I just don't know. It feels to me like there's so much focus on this. And no one thinks that these models are problematic now. So sort of where is this line? And ultimately, then, regulation that's trying to prevent those bad outcomes in the future is sort of arbitrarily drawing this line at some future state that is sort of unproven. So I don't know. I think that the arbitrariness of that line is sort of one of the biggest problems for me as well. Yeah, I think that's fair. Although if I'm to play devil's advocate here, if and when a nefarious AI intelligence emerges, the amount of tricks it can play on people to deceive them into not understanding what's going on, I think is pretty severe.
22:39here. But I take a couple different approaches. First of all, if you're worried about AI safety, then open source to me seems like the obvious right answer. If you're worried about X risk, open source is really important. The ability for all of humanity to be watching what's going on with models, to contribute, to learn, to deal with it is really key. Open source tends to be far safer than closed source because you simply have more eyes on it. It's harder for things to hide when there's sunlight, right? So that's one. And two is like just a very, almost like a Zen acceptance of like the evolution of man and technological progress.
23:29There is no way to stop the development of AI. You cannot regulate it. You cannot put it, you cannot put the genie back in the bottle, you can't pause it. You cannot pause it. It cannot be paused. It's silly to have a discussion about whether to pause it or not because we can't pause it. And we should just accept that and realize that this is an unfolding which no one controls, but all of us can influence in certain ways and we can help shape it. And so to not be like, have this sort of savior complex about being able to stop something that is
24:07unstoppable. One of the big points of discussion that comes up in and around all of this is the sort of the specter of China, right? And this is used to argue all sorts of different sides. The specter of China is used to argue why we have to move faster and we can't slow down. It's also used to argue by some folks that why we shouldn't have open source AI, because then they'll get it, right? And so it's sort of not a clear cut what the specter of China means. But between what we're seeing in Europe now, where you have Meta not releasing Lama multimodal, you have Apple not releasing Apple intelligence, you have them arresting the CEO of Telegram, between that, the Chinese model of AI development in the US, do you think that sort of balkanization of AI and balkanization of the internet is inevitable?
24:57And how does that play out and impact, you know, how we think about AI's development? I think that people have too much of a presumption that these things can actually be controlled. Like they can be controlled on the surface. Like the market for illegal drugs is a good example here. People believe that illegal drugs are bad. And so they make all these laws trying to restrict them. it does not appear empirically that that actually works. Drugs are pretty much available in every city in the world, even the ones with the very most harshest consequences. And so you get this like security theater where all you've done are prevent like the most law abiding people from making their own choices.
25:45But the people that you were actually worried about are going to behave pretty much the same anyway. Things on the internet tend to be accessible from anywhere, right? Like China cannot block people from accessing open source AI or anything available in the West to anyone with a modicum of like technical sophistication. So it just, it cannot, it cannot be stopped. It cannot be blocked. And I think that's ultimately a good thing. I think it's good that politicians do not have the power to curtail these things or to prevent their citizens from free and open exploration of essentially what is mathematics.
26:22So I actually want to take this in a slightly different direction than kind of relating to SB 1047. So SB 1047 is happening or the debate around it is happening. And OpenAI comes out opposed to 1047. But then a couple days later announces with alongside Anthropic that they've reached a voluntary agreement for advanced model previews with the US government, with the NIST. How do you think about arrangements like that that are sort of nominally voluntary? Like, is that a better path forward, you know, to the extent that there's going to be a relationship between private industry and government? Or do you see problems with that model as well?
27:02Well, first, it's never voluntary. All this is happening under duress, softer or harder forms of duress. But I also think I'm probably the outlier in believing that working with government agencies is bad. I think the average person believes it's good for these large companies to have oversight because they have this belief that the government is some kind of benevolent force made up of a different clay than the rest of mankind. And I just don't believe that. But I'm the extremist. I'm the outlier here. I think it's very damning that OpenAI has a ex-NSA board member. That's so weird. That's so weird.
27:49And it's weird that Sam would come out and sort of like highlight it as something he's proud of. And he may be being authentic there. He may believe that the NSA is like a good agency that actually keeps the world safe and is important. but the whole thing just feels so bad to me. And again, the antidote here is open source. So yeah, I think like the big AI firms are, they have a lot of challenges and they don't want governments to shut them down. And they don't have a strong fundamental belief in some of these principles of privacy, of lack of censorship. um i think they hold those views weekly if at all and so they don't mind sacrificing those things in order to keep operating in order to uh not be shut down or or various other consequences so i think it's sad but it's it's inevitable and if uh if sam wasn't in charge at open ai the another ceo there would have done the same thing yeah it's interesting i i think that you are um i mean i don't know sam So I don't want to put words in his mouth or thoughts in his mind.
28:58I do think that from some of the comments that he's had, he has, it feels to me like he has a romantic sort of moonshot 1960s notion of what this could have been, that the U.S. government should have been leading the charge for sort of beneficial AI. I mean, he talked about how they went to the government right at the beginning of the product and said, you should invest in this, you know? And so I think that you might be right that, you know, you can have a total difference of opinion that he may actually think that that is the best way forward. Totally. Yeah, he doesn't see the U.S. government as the primary threat, whereas I do.
29:30Right. So that's a fundamental difference. Which I think, you know, the part of why I love doing the show is that I think fundamental differences make us much better. It's also why I still like America in spite of everything. And to the degree that's true, fundamental differences making us better is the entire reason why we should not allow artificial intelligence to be captured by one or a few large tech companies that are controlled by the government. Because they will shape people's thoughts into one monolithic, you know, like, it will destroy the ability to have diverse and different opinions.
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30:11And if that kind of diversity of thought is important to humanity, which it obviously is, we can't accept that future. So perfect segue, because this is what I was going to ask you about next. So my read is that part of why, again, if you sort of step back and look at the trend lines, big tech, technology as an industry has been getting more and more powerful, basically since especially the dawn of sort of social media, when all of a sudden platforms went from, you know, hundreds of millions of sort of engaged users to dominating big portions of our time, right? Billions and billions of users, algorithms shaping perspectives.
30:48I mean, I think TikTok, the culmination of this pre-AI was sort of the debate that we've been having around TikTok and what that algorithm does. But the point is that big tech relative to the previous relationship between sort of the private sector and the government, it's thrown it off balance compared to where it was. Big tech is obviously much more powerful than previous generations of companies. It seems to me that the government is trying to, that there's an inevitable, that there will be an inevitable push for the government to grab more power as a bulwark against big tech. And so you basically have this two sets of actors who are getting more powerful at the same time, nominally in an attempt to constrain the other one.
31:38But the outcome is just these much more powerful centralized entities all around, right? The net average power of a centralized entity that you deal with has gone up. You speak eloquently about how open source and decentralized solutions potentially provide a bulwark to that, especially with AI. How do you play out the scenario where that actually can happen? What is the sort of the fundamental determinant of whether that will help and hold aside regulation, whether it's allowed to? Is it consumer choice? Is it consumer education? Is it people? What actually kind of constrains the power of big tech, for example?
32:20Yeah, such a good question. I think the English language needs two different terms here for power. because the nature of power from a government and the nature of power from a company of any size are fundamentally different. When we say power of a government, a government has power to literally murder people at scale and does so frequently. Google doesn't murder people at scale or ever. A government has the power to imprison people at scale for their own personal choices to take away their entire life and freedom. And I don't really care how big Google gets because it doesn't ever have that kind of power, right?
33:06It's a different, like, a coercive power is a different thing than market influence. Why am I not scared of TikTok? Because I don't have to open the app. And I feel like culturally, we have removed so much personal responsibility from people that we've forgotten or lost the plot that someone can just not use the app. And people say, oh, yeah, but society pressures us to do these things. Well, take some responsibility. If you don't like an app, don't use it. If you don't want your children influenced by TikTok, don't let them use TikTok. The idea that we need the government to come in and ban something because we simply can't make the choice ourselves really betrays that we are becoming sheep under a shepherd.
33:54And I don't think we should try to construct society in that way. So what constrains the power of big tech, as you say? We do. I constrain Google by not using it. I constrain TikTok by not using it. They can never force me to use it. And I'm just one little guy, and they have billions and billions of dollars, and yet I don't have to use it. That's so fundamentally different from a government where they can do whatever they want to me, including kill me. That's fundamentally different. I'm more worried about how we constrain that power because I can't just not use the government. I can't, you know, I can't opt out of that.
34:35So that's, I think that's the crux of this conversation is that like those two types of power are very different. And if you constrain tech or corporate power by giving more to the coercive one that can murder you, don't be surprised when you end up with a society that is much darker. This might be the sort of optimist in me, but I do think that sometimes we're living through genuine big patterns of history changes, I think, right now. And in the midst of that, when you're sort of in the eye of that storm, things that historically will be seen as very short periods of time feel very long. And we're calibrating right now what we want our relationship to be with these uber-powerful algorithms, right?
35:22And it feels like it's been a long time. Like, we've been watching this sort of happen. You know, Eli Perizer wrote Filter Bubble in like 2009, right? The guy who founded MoveOn.org. And, you know, that sort of problem has gotten bigger and bigger and bigger. It's like, it's 15 years later. 15 years is the blink of an eye in the context of history, right? And if you take that sort of larger view that the way that this has to get addressed is It's just by people making different decisions in aggregate. There are some early indicators to me that that's starting to happen, and it's being reinforced by markets.
35:55And so here's the example that I'll give. Schools, by and large, haven't banned smartphones yet, but it's such an obvious thing to do. I think the analogy that I've often seen is, would you have let people bring a TV and a VCR and their full DVD collection to school back in the day? It's like, of course not. Schools have that choice and they're just starting to do this now. But the other thing is, hold aside just the schools, parents are starting to find the line that's not, you can't be in touch, but you also can't have free access. And it turns out it's like non-smartphones. The Nokia brick is coming back.
36:34Nokia is actually having a resurgence with this like nostalgia driven, you know, it's is becoming the popular phone. And like, I have a three and a five year old. And so we're a little ways from having to fully think about this. But it kind of feels like an obvious in between to have a thing where it's like, yes, you can text your friends and stay, you know, touch and feel connected. But no, you can't, you know, just wander onto the darkest course of the internet with with unlimited, you know, freedom. And that's like, that's, you see parents making those decisions that are different. You see schools starting to make those decisions.
37:07And again, like I said, it's very nascent. I don't want to overstate the type of trend, but I think it's reflective of what you're talking about, that there are actual solutions that don't involve banning TikTok. It's sort of, people are figuring out how to limit access to it. Yeah. Should the federal government dictate how and when children can use cell phones? Obviously, cell phone use for children or adults can be and is damaging and harmful if done in certain ways, right? It's apparent that damage can happen if used poorly. Does that mean that the federal government should be telling people how to use phones?
37:45No, like that's up to the individual people. And that's part of like what makes a diverse, free society is when you decentralize those kinds of decisions. And even though you say it's obvious that schools should ban phones. That might be obvious to you and is probably obvious to many other people, but others might have a different opinion. And I think that's okay. Like I think schools should choose for themselves what's happening, what their policies are in the school. I think parents should choose for their children, what happens with their children. Like this decentralization of property rights and control is how you prevent bad decisions from becoming systemic.
38:27Because as you said, like 15 years is a very short amount of time historically. We don't really know what the right way for humans to use cell phones is. And cell phones are changing, right? In five years, they might be quite different than they are today. None of us really know what is best for every other person on earth. And we should have that humility. And so while we believe we know what's best for ourselves or our children, or maybe our neighborhood or something, we should have the tolerance to permit different views and different beliefs. and that's why we should not outsource and delegate all control of everything in our lives to one set of politicians thousands of miles away.
39:03They believe they know what's better for everyone and sometimes they might be right, but often they're wrong. The food pyramid in the United States is a great example of this, right? That food pyramid the FDA put out and that food pyramid has been gospel in the United States for a few generations. I grew up understanding the food pyramid and believing that that was like pure science, that this is how you're supposed to structure your diet. And if you do that, you'll be healthy. And then over the last 10 years, a lot of people are like, actually, it's like maybe inverted. Not just that it was marginally wrong, but like the whole thing might be inverted.
39:43We should not trust anyone to control the lives of every other person on earth. That seems obvious to me, but I don't know why so many people struggle with that concept. So let me ask, this is another perfect segue. It's like we planned this. There will be a conversation on a national level about AI regulation, right? Whatever happens. In fact, I think that if Governor Newsom decides to, I mean, he might veto SB 1047 if he decides to advance it, it almost mandates that we have a national conversation faster because the California dragnet then scoops up every company that does business with residents of California in ways that become problematic, right?
40:21This was a central pillar of the opposition for many of these companies is that it's not just making a choice for Californians, it's making a choice for everyone, right? In the same way that money laws that are state by state create their own problems as well. As we head into that sort of national conversation around AI regulation, you obviously are sort of totally admitted and clear about being on a sort of fully to one side of sort of a set of philosophical and ethical principles in this. What would you want to contribute to sort of the regulatory discourse, or at least the underpinnings of the regulatory discourse?
41:00If you could sort of enshrine one way of seeing or thinking as part of the conversation that started the sort of regulatory discourse, what would it be? that the biggest danger is some kind of curtailing or banning of open source development in this field. I would obviously love there to not be any national regulation on AI, period. But it will happen, unfortunately, because people believe the government should regulate everything. But I think the most important bulwark against the bad outcomes is simply that open source be permitted. As long as open source is permitted and isn't And hamstrung in certain ways by certain laws that drastically favor closed source models or something.
41:49If it's just permitted, then I think the world has the tools that it will need to navigate any of the challenges brought by AI. The really dark outcome is if open source gets curtailed in some way legally. That's really what I'm fearful of. I have another question, but I think we shouldn't do it now. It's a preview for a future conversation. One of the things that I'd love to discuss with you in another show is we're sort of in like this first paradigm of generative AI where the modality is chatbots, right, and assistants. And we are quickly heading into potentially another paradigm where we're outsourcing even more of the actual decision making and reasoning to, you know, agentic systems.
42:40And I'm really interested in your take on how that amplifies or changes some of these issues that we're discussing here. It's hard to know because we haven't really seen it occurring yet. It's sort of like always on the immediate horizon, and it's obviously inevitable, but it's not quite here. So it's hard to see how that manifesting comes out. I think it's going to draw a lot of attention to how do you protect yourself from a world of different agents, some benevolent, some evil and many in between. And it might actually bring a lot of attention back to public key cryptography. And I think like public key cryptography is really the one thing that we know AI can't break or can't do.
43:32right like everything else is like ai will do that it'll do that it'll do that probably better than all of us um but it can't break strong encryption and so that that confinement um really becomes like a foundation on which humans can protect themselves and understand what's going on in their own world uh you know i i often think of things through the cryptocurrency lens and um when you have when you have agents running around the world but you can protect your own wealth and control your own wealth through public key cryptography then uh you really don't need to care too much about what those agents are doing um similarly while it's hard to know what if something is fake you can prove that you created something through public key cryptography right you can create a key publish that key and then when you create something sign with that key and that proves mathematically to the world that that thing originated with that identity of the original key and those primitives you can really build like a lot of um very honest uh honest parts of our modern society that have a lot a great deal of integrity and it's about like trusting that math again instead of trusting people or laws or regulations so one thing i think is clear is that we're likely to see a lot of realignment and readjustment, right?
45:01I think that right now we're in a moment where the introduction of sort of these wildly new technologies and different systems, it's not clear how any one type of actor or any one type of person is going to react to this. I think a great example of this is Zuckerberg and Meta becoming the sort of, you know, the loudest champion for open source AI. I don't think that's something that many people would have had on their bingo cards a little while ago. Zuckerberg recently also wrote a letter that deals with a lot of these issues that you've been mentioning on the show. What did you think when you saw that letter?
45:39Maybe give just a little bit of context for those who hadn't seen it. Yeah, I was surprised that this wasn't a bigger story. um zuckerberg basically wrote a letter to congress like uh three four weeks ago um it was both a mea culpa but also like a he was he was basically revealing to everyone what was sort of thought of as a conspiracy theory which was that um the government was pressuring facebook uh and obviously they were doing this with others to uh censor certain information during COVID or to not report on one thing or to not say one thing or to control the information that was getting out.
46:19And I think a lot of people felt like that was probably happening, but it was always one of these debated things. But he basically came out and said, yes, the government was telling us to not talk about certain things or to censor other things. And what was great and inspiring and he deserves a lot of respect for this. Not only did he say that, but he said that he wishes he had pushed back more strongly on that, that he wouldn't have been as compliant or as willing to make those kind of censorships back then. So that took a lot of courage for him to do that. And it's been really impressive to see, like, over the last couple of years, there's something obviously different about Zuckerberg.
47:02He's changed his behavior in some interesting ways. But this is obviously relevant for the AI space because people don't know what truth is often, and especially not in the moment. And if we have a world where AI is controlled and licensed by government, then when there is something big and consequential and controversial, the government's truth and facts and science will be what everyone is supposed to abide by. and when we all you know we all lived through covid and it was scary and confusing and difficult but i don't think that we would want uh situations like that to to have their narratives controlled by central parties in the in the moment like imagine a near future where the u.s is in some kind of like big military conflict with china or something um how do how would you feel if artificial intelligence was only permitted to talk about certain things in that conflict, like couldn't answer certain questions or had to answer certain questions in certain ways, would that serve the American people?
48:20I don't think so. And really what makes, I think, America special is that we do not have some kind of totalitarian government telling us what is right. We can believe for ourselves what is right and we can debate what is right. And truth with humans often needs to emerge through vigorous discussion and skepticism. So that letter from Zuckerberg was, I think, a big eye-opener, or should have been for many, and I wish it had gotten a lot more publicity. Like, why aren't people outraged that that was happening? It seems like maybe the media was just, because it was happening with all of them, and they were involved in that kind of censorship, and so they were a little embarrassed to even talk about it much.
49:00Could be. You know, I think Zuckerberg is fascinating. I mean, having watched his whole career, I think the one consistent thing is that he does pretty constantly reinvent himself, not in like a flip-floppy way in a takes in new inputs, learns new things, and comes to different conclusions sometimes. And he's one of the few people who has one of the byproducts, I believe, of the total control that he's had over Meta for its entire life is that he has the privilege of actually just being who he wants to be and making the decisions that he wants to make without being sort of threatened. So he's kind of been able to do things a little bit differently.
49:37And I think this latest manifestation of that has been a really positive one that I think a lot of people have been excited about. But going back to the broader point, because obviously Zuckerberg's sort of much more secondary than the point of the letter, you know, or taking it into a slightly different place, you know, it's inescapable that right now the context that everything is being seen through, at least in the U.S., is the presidential election. Have you been surprised by the level of or lack there of misinformation, explicit sort of use of AI to influence conversations? I think one of the biggest fears heading into this election cycle was that AI would be running rampant, tricking voters and trying to push them in different directions.
50:27What do you think, is what we've seen sort of what you've expected? Or what do you think about that whole side of things? I think the fear that society understandably has had over the last few years was that like deep fakes were going to be a really serious problem for humanity. And actually, I think it isn't because people quite quickly realize that deep fakes can look completely authentic and sound completely authentic. and very quickly everyone just built a skepticism. So like if you see some video come out that is just like unbelievably bad in some way, many people's first reactions are gonna be like, oh, that's probably not real, right?
51:08So like there's a healthy skepticism, I think, that limit the damage that deep fakes can do. And that's gonna be a learning process. So like it's society will have to learn to be skeptical of what they see and hear, which is probably a good skill anyway. um two is you know no matter how nefarious uh ai bots are i'm not sure that they can ever lie more than the actual politicians themselves like i watched the the debate a couple nights ago between trump and harris because i feel like it's important to watch these things and i just i'm just embarrassed for the country like both candidates are are not respectable people the amount of lies and deception just in terms of like how they frame the debate, what they, what they claim, what they don't acknowledge.
51:56Um, you could, you could go to, you could go to any like high school debate group and see people with more rigorous intellects talking. And these are supposed to be like the cream of the crop that democracy is, you know, brought up for us to consider, um, that we have Harris and Trump as like the cream of the crop of American democracy is pretty damning. And I think far more, far more of a problem than like what the AI bots are doing. Like the candidates themselves seem like the problem. There is a Joe Rogan had a conversation, I don't know, maybe a year ago now, maybe a little bit less than that.
52:36Everything's is faster with with Lex Friedman, I think. And they were talking about whether Rogan would vote for a bot for president at some point, whether, you know, just let AI take in all the information, make different decisions. And he was sort of, you know, for it, maybe a little bit tongue in cheek because he wasn't actually being forced to consider it. But I joked recently at a presentation that when that came out, a lot of people were super skeptical. And like the farther into the election season we've gotten, the more people I see being a little bit more open to that possibility in the future.
53:11Yeah, well, I mean, the bar is pretty low. I'd like to just be able to vote for like an inanimate object. Like if I could vote for like a FICA or an orange to sit in the Oval Office, that would be great. They would do less harm. They would lie less frequently. They would be less deceptive. And I would really know what I was getting. So I would prefer that as like an option on the ballot. So I think based on that answer, I have a fairly strong guess of what you're going to say. But how consequential do you think this election is for future development of AI in sort of the immediate term in the US?
53:53uh yeah i don't i don't know um
53:59i don't know i feel like the it's not consequential on the bigger issues and the bigger the biggest issue i think is the federal debt which amazingly wasn't even asked about during the debate um yeah i i think ai is so new and like these candidates it's not clear like which candidate is actually better for AI or not, frankly. I just, I don't trust either of them. I, I'm not going to vote for either of them. I just, they're, neither of them are respectable people and I would never endorse either of them for anything. I think it's a, I think it's a reasonable take. I tend to think that we don't really know yet where political alignment is going to lie as it relates to AI.
54:46It has not calcified and hardened into clear partisan lines in the same way that every other issue ultimately kind of becomes, you know, calcified and hardened into partisan lines. Now that there aren't indications of where it might go, but I think Chuck Schumer, when he came out with sort of a roadmap recently or not recently now, six months ago now, it was much more rah-rah innovation and we got to compete than I think people anticipated. I think people kind of had just assumed that Democrats would be pro-safety and pro-control. And it was sort of differently positioned than that. Although, again, it wasn't policy.
55:22It was just suggestions for where they go next. So I tend to think that it would be overstating the case that it's, you know, that either choice is going to lead to clear directions that the other one wouldn't when it comes to AI policy. Yeah, it's hard to know what they will do because they don't base their policies on any kind of consistent moral framework or principle. So I don't even know what the Democratic Party is today or the Republican Party, right? Like they both just grow the government. One of them acknowledges that they want more government. The other pretends they don't, but still keep voting for it.
55:56I don't even know what these parties are. Like Dick Cheney is now endorsing Kamala. Like the whole thing has just become such a circus. And unfortunately, like in a circus, you can just leave. But here we're stuck in the tent. So let's flip it around. Let's come to the other side of this and talk positively. Not for the sake of beautiful symmetry, but because I like, look, you're, you know, So as someone, I believe that it's impossible to be a builder in the way that you've been a builder without being on some level, base level an optimist, you know, or at least sort of have belief that things can change.
56:33What's most exciting to you right now in AI, which could be technological, could be the way that people are responding to it or changing, could be discourse around it? You know, what gets you hopeful, jazzed, excited? Time savings. Time savings. I think whenever civilization creates tools which save time for a given unit of work output, society gets substantially wealthier. True when the shovel was invented. True when we had a tractor instead of a horse on the field. True when we had electricity. All these things allowed humans to build and create what they want with less input cost. And AI does that in a powerful way across many industries.
57:23And perhaps the most powerful being like coding and engineering itself. Right. Like a competent coder now with with AI can produce just an incredible amount. And that is a that's a huge unlock for civilization. So, yeah, I I'm definitely an optimist on the on the world. and it's the savings of the input costs that make AI so powerful. And I don't think people appreciate or respect that enough. Often people are like fearful of it. You know, they think that like now that AI can do all these things, people won't have jobs. It's like, yeah, 99 % of people used to be farmers. And you know what? We lost pretty much all those jobs.
58:10Do we want to go back to that world where everyone was on the farm and had a job on the farm? I don't think so. We should not look at work as something that we want. We should look at the output as something we want. And if we find a way to get the output more easily, that's virtuous. Yeah. Listen, I am in complete agreement. Whenever I have this conversation, as it relates to likely impact on jobs and economies and stuff, the thing that always stands out to me is that the fear of job loss, at least when you move to the medium or short term, or in the long term, right? The short term, of course, there's going to be lots of chaos and transition and lots of pain and that will have to be dealt with.
58:55But when you look at the long term, it's like in a world where you can make the same amount of code with one-tenth of the effort, are we all going to say, cool, the stuff that we have now, the stuff that we built, that's enough stuff. That's enough creation. We're just going to use, you know, just do that, that one 10th. It's like, no, we're going to do 10 times as much stuff, you know, but it's actually going to be a hundred or a thousand times more stuff. And I think the entire pattern of human history shows that we have a basically unlimited appetite to create more and consume more. And that's, you know, that's never going to stop.
59:25Yes. Our, our base needs are somewhat limited, but our, our desires are unlimited. And, uh, many desires that we have today didn't, weren't even conceived of long ago. So like the human mind is an incredible creative spirit. And when we have more powerful tools, I think net, you know, that's, that's just good for us. Absolutely. It'll cause disruption. And I think, you know, while I use that farming example, the difference with AI is that I think these changes are going to happen much faster. So I, I don't want to be glib about it. Like there will be pain and a lot of confusion and struggle, but we should recognize those as consequences of civilization moving ahead rather than things that we should reverse.
1:00:09Couldn't agree more. Well, Eric, awesome conversation. Let's have you back again, and we'll keep talking about these themes, but always appreciate your time. Cheers. It's been great. Thank you.
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From the publisher
In this episode, Venice AI co-founder Erik Voorhees joins the AI Daily Brief to discuss pressing issues around AI and freedom. We cover the arrest of Telegram's founder, the ongoing debates about California's SB 1047, and the broader concerns of AI regulation and privacy. Erik offers his perspective on the risks of centralizing AI under government control and explores the potential for decentralized, open-source alternatives. This conversation sheds light on the future of AI and its impact on personal freedom and privacy.
About our guest: Erik is the founder of Venice.ai, a generative AI chat interface, which enables anyone, anywhere, access to private and uncensored AI powered by leading open-source AI models. A visionary technology entrepreneur, in 2014, Erik founded the digital asset exchange platform, ShapeShift, and served as its CEO until July 2021, when the exchange became the first VC-backed company to fully decentralize all corporate structure by converting into a decentralized autonomous organization (DAO). Prior to ShapeShift, Erik founded SatoshiDICE, the first widely-popular Bitcoin betting game in 2012, and served as the Head of Marketing and Communications at BitInstant, the first venture-backed Bitcoin startup. Erik is a vocal advocate of free and open markets, the right to privacy and the fundamental importance of decentralized applications. Erik continues to play a pivotal role in shaping the narrative around decentralization, capitalism, and cryptocurrency, regularly appearing on Bloomberg, Fox Business, CNBC, and BBC Radio, among others. His influence and insights were featured within the 2014 documentary, “The Rise and Rise of Bitcoin,” and the 2016 documentary, “Banking on Bitcoin”.
Learn how to use AI with the world's biggest library of fun and useful tutorials: https://besuper.ai/ Use code 'youtube' for 50% off your first month. Concerned about being spied on? Tired of censored responses? AI Daily Brief listeners receive a 20% discount on Venice Pro. Visit https://venice.ai/nlw and enter the discount code NLWDAILYBRIEF. The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Subscribe to the newsletter: https://aidailybrief.beehiiv.com/ Join our Discord: https://bit.ly/aibreakdown
