Ep 192: How VC Firms Can Get Ahead with LLMs


Join the discussion: Ask Jordan and Roger questions on VC firms and LLMs

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Leveraging Large Language Models (LLMs) and AI for Business Growth and Security

In today's episode of the Everyday AI podcast, the discussion centered around the burgeoning impact of large language models (LLMs) and artificial intelligence (AI) on businesses, particularly in the context of venture capital and cybersecurity industries. This thought-provoking episode highlighted the profound implications of AI technology, LLMs, and data security and demonstrated how their integration could revolutionize business operations and decision-making.

Driving Efficiency and Innovation

One of the key takeaways from the podcast is the transformative role that LLMs and AI play in driving efficiency and innovation across industries. As highlighted in the episode, AI is proving to be instrumental in streamlining processes, forecasting financial projections, and effectively disrupting traditional business models, offering unprecedented opportunities for startups to compete and thrive. With the ability to generate insightful data and facilitate infrastructure innovation, AI is empowering entrepreneurs to gain a competitive edge and facilitating the creation of successful and efficient companies.

Challenges and Opportunities in Cybersecurity

The conversation also delved into the evolving landscape of cybersecurity and the intricate relationship between AI and data security. Notably, the discussion emphasized the critical need for robust security controls to combat data poisoning, as AI's functionality is deeply intertwined with the quality of the data it processes. Additionally, the episode shed light on the emergence of AI-powered cybersecurity attacks and the challenges posed by deep fake technology, underscoring the imperative for organizations to bolster their security measures in the face of such threats.

Venture Capital and AI Integration

Moreover, the podcast provided valuable insights into the sphere of venture capital, articulating how AI and LLMs are reshaping the dynamics of investment strategies and decision-making processes within the industry. The conversation emphasized the significance of leveraging custom internal AI models and the ethical dimensions of using generative AI, particularly in the context of investment memos and confidential data handling. Notably, the episode underscored the pivotal role of trust and confidentiality in nurturing strong partnerships between venture capital firms and their portfolio companies, signaling the need for a steadfast commitment to data security and privacy.

Embracing the AI Revolution

Through a comprehensive lens, the episode encapsulated the profound impact of AI and large language models on businesses, underscoring the need for organizations to embrace and harness the potential of this groundbreaking technology. Whether it's optimizing operations, fortifying cybersecurity defenses, or navigating the intricacies of venture capital, the integration of AI and LLMs presents a wealth of opportunities for business growth and resilience.

As businesses navigate the ever-evolving landscape of AI and data security, this insightful episode offers an illuminating perspective on the pivotal role of AI, large language models, and data privacy in driving sustainable business success and innovation.

For more in-depth insights and expert analysis on AI, large language models, and their transformative potential for businesses, be sure to explore the Everyday AI newsletter and stay ahead of the curve in the realm of AI-powered innovation and security.

Topics Covered in This Episode

1. Venture Capital Firms and AI
2. Impact of AI on Business and Security
3. Applications of Large Language Models (LLMs)
4. Quality and Dependency on Data for AI

Podcast Transcript

Jordan Wilson [00:00:16]:
With just about every company that's raising money, trying to sprinkle AI into their offering, How can venture capital firms make sense of it all? Well, by using AI, by using large language models. Right. I'm super excited for today's show. We're gonna be talking about that and more today on everyday AI. Welcome. My name is Jordan. I'm your host. And everyday AI, it's for you.

Jordan Wilson [00:00:43]:
It's for all of us. It's so we can all learn What's going on in the world of generative AI across various sectors and how we can use that information and leverage it to grow our companies And to grow our careers. So we are gonna be talking today about how you can use large language models in venture capital. So Whether you, work in in VC and you're or maybe you're a start up founder trying to raise funds, today's show is definitely for you. Alright. So before we get into that, As we always do, we're gonna get into the AI news. So as a reminder, go to your everyday AI .com. Sign up for the free daily newsletter.

Jordan Wilson [00:01:18]:
We're gonna be recapping our conversation today as well as more information on these news stories. And I tell people, It's like a free Gen AI University on there with now close to 200 backlogs of great in-depth podcasts from industry leaders. You can go read every single newsletter, so So make sure to go check that out. Alright. Let's start with Google. Alright? Always things things always start with Google. So Google in the news today. Well, they've re some, released some new gen AI features into their Chrome browser.

Jordan Wilson [00:01:48]:
So Google Chrome is introducing Three new experimental AI features to improve user experience and efficiency when browsing the web. So Chrome now has a new experian experimental feature called the tab organizer that automatically suggests and create tab groups based on your open tabs. That'll be great. Right? Hey. I have 92 tabs open. Use AI to tell me what's what. Also, now users can create their own custom themes using a generative AI model, making it easier to Personalize your browser. And then the last 1 next month, Chrome will launch an AI powered feature to help users write more confidently on the web.

Jordan Wilson [00:02:22]:
So bringing, You know, aspects of the barred, you know, barred inside of the Google Chrome browser. Also, in related Google News. So Google has ended its contract with Appen, a data company involved in training its model for, AI tools for Bard search and other products. So This decision was made as part of Google's efforts to evaluate and adjust its supplier partnerships for efficiency. Or maybe, I don't know, Google got too much, you know, Kickback that it wasn't doing well enough, that Bard wasn't performing well enough. Who knows? Alright. Next, Sam Altman says the AI industry should look in a different direction to power AI Nuclear. Alright.

Jordan Wilson [00:03:01]:
So OpenAI CEO Sam Altman discussed the future of AI and its growing energy demands at the World Economic Forum, emphasizing the need for a break A breakthrough in energy innovation. Altman believes AI requires a breakthrough in energy and has invested in fusion fusion projects for this purpose. He also downplayed concerns about AI's impact on politics and the job market and the controversy surrounding OpenAI's use of training data. Alright. Last but not least, SAP's shares hit an all time high after announcing a restructure and a push toward AI. So SAPSE, the German software firm, announced plans to restructure roles for 8,000 employees while also investing €2,000,000,000 Toward AI driven business areas. The company also expects to end 2024 with a similar headcount and sees Gen AI as a game changer for its business. So shares jumped about 7% after the restructure announcement.

Jordan Wilson [00:03:58]:
Also, it was reported that SAP has been using, Yes. ChatGPT, the same tool that all of us use. Yes. A giant like SAP has been using it since the early days, and they do plan to roll out it, the OpenAI integration into its own products this year. Alright. So I talked about this in my bold 2024 prediction so That this is gonna be the year of all companies either laying off or, quote, unquote, restructuring, investing heavily in AI. So, SAP, one of the first, big companies to make a splash in that department in 2024. Alright.

Jordan Wilson [00:04:33]:
That's enough of the news. If you want more, like I said, go to your everyday AI .com. Sign up for the free daily newsletter. But for everyone joining us live here, I'm excited. So, you know, Tara and Brian and Woozy, some of our regulars, and Raul, thanks for joining us. Let me know what questions do you have about venture capital, about how you can use AI in large language models. So luckily, you're not just gonna be hearing from me on this one. I have an expert guest today that can walk us through it.

Jordan Wilson [00:04:58]:
So, I'm extremely excited to bring on to the show. There we go. We have Roger Thornton who is the cofounder of Ballistic Ventures. Roger, thank you so much for joining the show.

Roger Thornton [00:05:09]:
Thank you for having me, Jordan, and congratulations on the Great success to the show.

Jordan Wilson [00:05:14]:
Thank you. Thank you. I appreciate that. So tell us tell us a little bit about what Ballistic Ventures is and what y'all do.

Roger Thornton [00:05:21]:
Sure. Ballistic adventure, ballistic ventures is an adventure, and it was born, out of a passion and Determination of a group of us partners that are trying to save the world. We are focused exclusively on on funding new cyber Security companies, we're early stage investors, so we're typically the 1st institutional, money into these companies. Oftentimes, the entrepreneur will be working with us before they've even really formed the idea. We've been in business now for about two and a half years. My partners, Ted Schlein, Jake Sade, Barmak Mefton, Kevin Mandia are all experts in different areas of security. When you engage the firm, you engage all 5 of us, and and we roll up our sleeves and help you build companies. Several of us have been Cybersecurity company founders, I I I was part of creating, 2 companies, Fortify Software, AlienVault, and now I'm Helping another generation do the same.

Jordan Wilson [00:06:26]:
I love it. And so tell us a little bit about how the industry, as a whole is is Changing. Right? So cybersecurity. Right? So we'll get into the, the the VC side, but, you know, I'm also curious because, you know, artificial intelligence has been used in the cybersecurity space for decades. But how specifically have the more recent advancements in generative AI and large language models, how has that changed even what's happening at, you know, these cybersecurity companies.

Roger Thornton [00:06:55]:
Yeah. So, big picture, we can put it into a couple buckets. I I think I've gotta start with and I I I heard one of your previous podcast talk about this. The the the people who break things and steal things and And and and spy on, us, are they use these technologies too. Right? So so the, the malware is getting more Virulent. It can change the the attacks. A great example, a lot of sophisticated attacks are based on fraud. And to defraud you, it's it's basically a con game.

Roger Thornton [00:07:30]:
Right? So the more you trust me, the more I can relate to you, the more the more, you you might Fall victim to that. An attacker who had only a, conversational understanding of English And maybe no understanding about your field is not gonna be able to go very far in terms of defrauding you. All of a sudden, that person speaks perfectly, And and maybe you're a scientist working on the next big breakthrough for your company, and this person communicating with you clearly understands that science. They don't need to. They they need to have access to a language model that does, and now they can Communicate, with you like like a trusted, source. Deep fakes, I I we should talk about that a little bit. But the So the so the adversary, uses technology just like we do, and they've got a big boost, just like we do with AI. And then, for the cybersecurity industry, it's it's really interesting.

Roger Thornton [00:08:30]:
You know, the first one, you might not think about it, but some of the most Important systems being built today are based on AI, and a lot of our security controls weren't. And so there's new security controls that need to be put in place. As little as 2% poisoning Of the data that's training your model can can completely destroy it, so you've gotta make sure your data didn't get poisoned. These things give answers that are really critical. You know, forecast the next 6 quarters of of, financial projections. Your CFO might love to see that, but you might not want the intern looking at that. Right? And so, access control is a really big thing. The other big bucket is, you know, probably probably the largest one.

Roger Thornton [00:09:21]:
If there was something we were doing before, chances are we can bring AI to it and make it more efficient. In some cases, not. But the part I I I guarantee you, you know, my job is to see new start ups. Whatever you're doing, whatever your business is, There's a, a young innovative start up that's gonna try to disrupt you with an AI approach, so you might wanna beat them to that.

Jordan Wilson [00:09:46]:
Yeah. Yeah. That's That's a great point. And, you know, even more recently, Roger, how how has that changed things, you know, even in in your space working with these cybersecurity companies? Because, You know, my thought is you probably have to have, you know, decade decade plus of experience to, you know, be a major player. Has AI changed that? Has has it been able to give these these young startups, you know, an edge maybe even If they're just not operating the way that everyone else has been doing for for decade or decades, does AI give companies an advantage, you know, start ups an advantage to compete in a different way?

Roger Thornton [00:10:23]:
Yeah. Great question, Jordan. You're you're spot on. So every so often, the technology industry has these, you know, think of them as A great leap forward, kind of Cambrian moment. The Internet was that way. The the cloud was that way. AI is clearly one of those, and and there's 2 really important components. I've I've got new tools To to bring better solutions than it might, but but, frankly, probably the bigger one, the customers want to talk to people that are bringing these new solutions.

Roger Thornton [00:11:00]:
So so you could be a a a big vendor, and you got thousands and thousands of customers, and they love you. And and and off, you might have been on a a 10 year run where they're not gonna talk to anybody else because they're happy with you. But now they're they're they're watching your podcast. They're reading. They're seeing that this is a huge impact. They don't wanna be left behind. So that little company that never had a chance of getting that audience with your customer has it right now, And they're taking advantage of it. And and and and our industry is a great early indicator.

Roger Thornton [00:11:36]:
You and I talked before the show, It it's probably 80%, may maybe as high as 90, of the companies that are inbound that have some AI element to it. And so, you know, to my peers in the venture capital industry, you're gonna have to you're gonna have to Understand AI. I mean, not to the deep technical stuff, but but but the business implications and how to vet whether something you may win or not.

Jordan Wilson [00:12:04]:
Yeah. And and how, specifically, how have large language models changed that vetting process? Right? Because I can imagine not just for, You know, like, you all at ballistic, but DC's across the industry, it's hard. Right? It's it's it's hard because AI has allowed So many new start ups to pop up so quickly and maybe even these new emerging technologies that so many people don't even fully understand. So how can large language models actually be used to help in that process to vet and better understand these companies?

Roger Thornton [00:12:35]:
You know, I'm gonna I'm gonna I'm gonna start with, you know, doctor Heel Thyself. I am sure there's some brand new venture capital firm out there That's gonna base all their decisions and strategies on, you know, what the Oracle tells them to do. I I'm not that concerned about that because, I I am one of those technical experts and kinda know what it can do well or not. Now what what can it do un unquestioned? Our job requires, an insane amount. It's probably similar to your job. We've gotta learn a ton of new stuff very quickly, And we've got to be able to communicate, things very concisely and completely. If you're in that job and you're not using, ChatGPTA or Bard or, one of the other LLMs to help you. You know, you you you could take a massive, The SEC has new, directives on on companies reporting security breaches.

Roger Thornton [00:13:34]:
You could read the entire thing Or you can push it in the l l LLM and have it summarize it for you. And the ability to be able to move Four times faster, it is really important. Likewise, and and and this is I'm gonna I'm gonna make a plea to everyone out there. You you can use the LLMs to make your your communications more verbose. They'll they'll pass the thump test. Right? You can also use them to make them more concise. So I I rough things out with LLMs. I tear them apart.

Roger Thornton [00:14:08]:
I part at work at them. The very last thing I do is I send it back and say, can you make this more concise and easy to read? And They do that wonderfully. If we all do that, we're

Jordan Wilson [00:14:18]:
all gonna save ourselves when

Roger Thornton [00:14:20]:
we die.

Jordan Wilson [00:14:20]:
If you're listening on the podcast, I am just smiling so hard because, yes, It seems like everyone's doing the opposite. Right? Everyone's, you know, using large language models to, hey. Make these 10 bullet points into, you know, Ten paragraphs. But, yes, can we do more of what Roger is saying and and using LLMs to just make your writing more concise? Like, we're we're all tired of reading, You know, super long, you know, pieces of text that don't really mean anything. So, like, Roger, I'm even curious specifically, how are you Using personally. You you know? But but in your role, how are you even using large language models? Right? Because I'm sure there's so many companies Growing stuff at you saying, hey. Invest 1,000,000 in this. Look at this shiny new thing that we got.

Jordan Wilson [00:15:02]:
You know, we're fighting cyber Cybercriminals this way and that way. How are you even using large language models in your role? And what has, for you personally, been the biggest gain or the biggest, way that you've won back your own time.

Roger Thornton [00:15:17]:
So I'm I'm gonna book in this. One of the very first things I did with the large language model is is entertain myself and got an understanding how they work. I I was a CTO for much of my career, management person, interviewed a lot of people. And and when I when I Got some more senior roles, and I'm interviewing people the team wants to hire. Right? So so so I had to be very concise. I had this 1 interview Question, and if you interviewed with me, you probably got this question. I put a blank piece of paper down and a pen, and I would say to you, write a program for me. Use a protective, obviously.

Roger Thornton [00:15:56]:
I didn't do this with the accounts. All that could have been done now with little judge of the day. I couldn't. They'd do fine. When I say write a program, here's respect. It should be something that's interesting to you, interesting to me, and take you about 10 to 15 minutes, and I'd come back And and somebody could do a podcast on the range of answers there. First thing I I really ever asked chat g p t, was that. It it wrote a program that generated math puzzles, and, it did a lot faster in 10 minutes.

Roger Thornton [00:16:27]:
That would have been about the 80th percentile of answers. And, of course, it I could type it in and compile. So that that's at the beginning. And the most recent thing I I also just have to tell you because I think this is the way it's affecting people's lives. I've got a son. He's a 3rd grader, give my background. Math is real easy. I've always loved history.

Roger Thornton [00:16:49]:
And then there's English grammar, and it's hard. And so, you know, I I went upstairs at 8 o'clock. Is 8 o'clock an adverb? It it it changes when you you're professional, you know, That it's a adverbial noun, and and, I I chatty PT, I could give my son English grammar feedback, like the same level I can math. Now what I'm teaching him is the questions. Right? Remember, The most important thing, it it life was never about the answers. It's about the questions, asking the right questions, and prompt engineering or what have you. Okay. I'll end with what I do at work because I think it's I think those personal uses are more interesting, frankly.

Roger Thornton [00:17:34]:
The, Anyone in venture capital knows the bane of venture capital is we we we have to, write investment memos. And it and it's not that we don't like doing it. They're they're arduous tasks, and they're very thoughtful pieces of documents. And and And should that company be a multibillion dollar, outcome someday, everybody's gonna read it and you're gonna be judged on it. If it's a failure, you're gonna read it and judge it. So a lot of care goes into these. It it you you can do them in 20% of the time it used to take to get them done. That time crush down, the quality of the output, remember, the last thing to ask is make it more concise.

Roger Thornton [00:18:20]:
You've got 80% of that time left over to go meet that new company or go help somebody in the portfolio. And it's it's that simple. It's just The stuff that we need to learn, the stuff that we need to produce, is better, more concise, faster.

Jordan Wilson [00:18:38]:
Yeah. And, you know, Roger, I'm also wondering about other use cases, and I'm sure, you know, some venture capitalists are starting to do this. But It seems that VCs struggle to find the time, to adequately address everyone, you know, or every company that's that's looking to raise money mainly because There's so many companies out there looking to raise, and they're, you know, sending it to everyone. Right? They're also using AI to, you know, craft more personalized pitches to, You know, a 100 VC companies versus 5. What what do you think is going to happen, from other professionals in your space and How they can, maybe leverage, AI to make, you know, kind of AI versions of themselves. Right? Like, are you gonna see, you know, VC companies creating, You know, ballistic ventures, GPT, and they compile all their information in there. And then in the future, you know, come you know, people looking to raise funds, just Talk to the GPT, and they see if they they make it through. Right? Like, is that something that might happen, in the future with AI and with how easy now it is to, You know, upload all of your knowledge into a large language model and for it to work kind of accurately.

Jordan Wilson [00:19:45]:
Is that is that something that might happen in the future?

Roger Thornton [00:19:48]:
You know, I Jordan, I don't wanna say yes, but I'm I'm certain it's already being done. The the the fact is Ours is a you know, it's a service industry. Right? So so we we have customers and and they're primarily venture capitalists. I'm sorry. Entrepreneurs. And and and think about anybody you interact with When when they take the time to personally connect with you and meet with you versus somebody that makes you go through Anything that's artificial, it's better service. Right? We we're in service of our portfolio companies. And so there, generative AI can definitely help, the the learning, The the areas of productivity.

Roger Thornton [00:20:40]:
But I think, ultimately, in service, it's it's it's about the human connection. The the the other thing without without diving into the Deep technical details. LLMs are amazing, but they're basically retrieving, what what they've been taught. Right? So there's there's this corpus of information, and they're just you know, what's the next token? What's the next token? And and so, you know, there's a famous old philosophy book came across in college. It is a paper. A conversation with Einstein's brain. And it it if you can get your hands on it, go read it. It'll blow your mind because, basically, if you took Einstein's brain and modeled it So that all these synaptical responses from stimuli produce the same output.

Roger Thornton [00:21:26]:
Could could you speak with Einstein? In a way, That's what the LLMs are doing. And and and you think about the the greatest investors of all time, Could you could you take everything they wrote and feed them into an L&M? Absolutely. Could you take every novel Concept and idea that they had going forward and put it in there, I I I I'm burdened with too many technical too much technical knowledge to think that's possible.

Jordan Wilson [00:21:55]:
Yeah. So, you know, another thing I'm curious about is what what next? Right? So, like, what are you all working on next specifically when it comes to How you can better use large language models because it seems like once you implement something in your business and, you know, everyone's saying, know, 2023 was the year of exploration. 2024 is the year of implementation. So after you start to win back some of your time there at Ballistik, what what's the next, iteration for for you all and or maybe for the industry on how to use large language models next?

Roger Thornton [00:22:29]:
Yeah. I I'll hit a few in this by no means is exhausted. A a lot of security can be approved, not not after the fact by protecting things, but by by building things better. And there's a a a movement in security, a strategy we call Shift left. So rather than take the broken thing and and and put a firewall and other controls around and try to protect it, Build it better. Build it stronger. And so we, we our firm focuses in that area. We've got a lot of great start up companies, in there.

Roger Thornton [00:23:06]:
And and AI can play an enormous role. I I promise you, Everybody who programs a computer today is experiencing enormous, productivity gains. If you're a security person, you gotta be very careful with the intellectual property rights, you know, the the AI, the code it generates. Do you Own it and what have you. But but that aside, there's big stuff there. One of the other areas that's really impacted by AI is is this notion that we call, you know, protecting a free and open democracy. You know, we live in a, a wonderful system where where Everybody has the right to express themselves and share their ideas, and and we all come together and wrestle with each other on that, and that's where our system works. There's not a lot of controls on it.

Roger Thornton [00:23:54]:
With generative AI, there now is the ability for for for somebody with really ill intent To create information that's deceptive and and fools you. And, you know, I don't wanna step into politics, but, you know, there's Anything my adversary says is fake and so that but, no, I'm talking about people that that aren't in that game and just wanna harm the system. And so the the the so called notion of deep fakes, is gonna have an extraordinary impact. And I I don't know if everybody saw the news cycle yesterday, but the the president of the United States was doing robocalls in New Hampshire. No. He wasn't. That was a Amazingly convincing, sound of his voice. 10 years ago, The expertise to pull that off was only found in Hollywood movie studios.

Roger Thornton [00:24:50]:
Now somebody's sitting at home, a a 2 minutes of somebody's voice. Our voices on this podcast could be could train a model so then now someone could sit in a keyboard and have them, say whatever you want. And this is gonna have profound impacts. And so we're working with a couple of companies, creating a couple of companies that can help help sort that.

Jordan Wilson [00:25:14]:
Yeah. It's gosh. I've I've talked about that. Yeah. And we talked about the, The the the Biden AI robocall deep fake on the show yesterday, yeah, it's gonna be a huge problem. You know, I've been saying since, you know, the first Day of the show that this is going to, you know, the 2024 election, here in the US, it's it's going to be, extremely chaotic. So so getting back to the, you know, from the VC angle because, you know, Roger, you you walked us through so many different ways that, you know, venture capital firms can leverage large language models and generative AI for productivity gains. But Maybe at what expense or what are maybe some potential downsides of large language models, that that VCs or even start up founders Pitching to VCs should be aware of.

Roger Thornton [00:26:01]:
Great. Let let me give everybody a real simple framework, and this is important if you're a businessperson Trying to evaluate a project inside your company or maybe an investment. AIs, they're programs. Right. And and they're not programmed with by by humans. Humans work on them. They're programmed by data. So if you wanna know about an AI, go look at the data.

Roger Thornton [00:26:26]:
No data, no AI. Bad data, bad AI. Marginal data, marginal AI. Really great proprietary insightful data, very powerful AI. And, you know, Thinking about CHETCHIPT, I think I would also say unbelievably large amounts of data, Very interesting AI. So so you kind of focus on on those last 2. And, whether you're an entrepreneur trying to build A new a new product. You you've gotta ask yourself, you know, what what data am I gonna have that somebody else is not gonna have an edge on me.

Roger Thornton [00:27:08]:
Now a lot of these start ups, the the the first innovation is is building the The infrastructure that can generate the data, the company we're working on that that deals with deep fakes has enormous Sophisticated infrastructure to create deepfakes. Some other time, I'll play you all sorts of voices or images of people, and we don't use them criminally, but We use them to train models. Right? The, Yeah. So so Follow the data and and and you'll know if if you've really got something. And and, you know, for for for venture capital firms, I I think there's 2 things you gotta be wary of. You gotta be very careful that that the information given to you by Portfolio companies doesn't get shared. Confidentiality and trust is so important in our business. So If if you're tempted to take something given to you by someone else and put it in a third party system, I I'd I'd be very careful about doing that.

Jordan Wilson [00:28:11]:
If you have the wherewithal

Roger Thornton [00:28:12]:
to build your own custom internal ones, that that that that's a different story.

Jordan Wilson [00:28:16]:
I think I think that's great advice there. So, you know, We like we we've covered a lot here. Right? Like, we've we've gone into, you know, deep fakes, and we've talked a little bit about cybersecurity even, and we've talked about, You know, the pros and the cons of using large language models and how VC firms can can use those to really save time. But maybe, you know, as we wrap here, Roger, what's what's one piece of advice that you can give to maybe other you know, whether it's VC firms or Startup founders pitching VC firms, what's the one best piece of advice that you can give them related to using generative AI or using large language models?

Roger Thornton [00:28:52]:
I I'm I'm gonna take a twist on this, and and, I'm gonna give a piece of advice that Every single person listening to this can benefit from.

Jordan Wilson [00:29:02]:
Even better.

Roger Thornton [00:29:04]:
The, The the the adversarial use of of Gen AI, as we mentioned, allows the ability to create these deceptions of reality, And and we saw it with the president yesterday. It it it will eventually happen to you. There will be a family member, loved one, or dear friend that Calls you and, you know, pass a situation where you need to move some money. Tonight, when you go home With your family members, create a family password. And and and and if you're gonna do that, create 2 of them. The the first one is It's really me. The second one is it's me, but I'm under duress. And if you get attacked with, generative AI, That simple ancient little technique will protect you and make sure it's it's it doesn't need to be a Complicated password, something you're all gonna remember.

Roger Thornton [00:30:01]:
And and if I swap back to the to my friends in venture capital And and and start up companies, you know, don't forget not everything has to be solved with with AI. One of the most important things I think we're gonna we're gonna experience over the next few years is, you know, Software and technology businesses themselves are are very complex, and there's a lot of art to making them happen. When we go into AI, it's very complex. There's a lot of art to making it happen. You need to bring these 2 fields together to produce very successful companies. Don't don't underestimate, you know, how much work, there needs to be to to to integrate those well.

Jordan Wilson [00:30:47]:
Such good advice. Wow. Like, even someone that covers AI every day, I took something from there. I didn't even think about the second, You know, the 2nd safe word. Right? Yeah. Like, 1 is it's me and 1 is I'm I'm in duress. This is so such good information. Thank you so much, Roger, for for joining the Everyday AI Show.

Jordan Wilson [00:31:05]:
We really appreciate it.

Roger Thornton [00:31:06]:
Thank you so much, Jordan, and and and all the best with the show. You're doing a great job. Thank you.

Jordan Wilson [00:31:11]:
Thank you. And, hey, hey. As a reminder, we covered a lot. We're gonna be breaking it all down, today's conversation with Roger Thornton from Ballistic Ventures. So if you missed something or if you just wanted to double down, make sure to read our recap of today's interview. In the newsletter, go to your everyday AI.com. So thank you for joining us, and we hope to see you back tomorrow and every day for more everyday AI. Thanks y'all.

Roger Thornton [00:31:34]:
Bye, everyone.

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