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Navigating the Future of AI: Superintelligence on the Horizon
In recent years, the interest in Artificial Intelligence (AI) has escalated significantly. Pioneers across various industries are not only contemplating the benefits of Generative AI or Artificial Narrow Intelligence but are now progressively shifting their focus towards unlocking the true potential of Superintelligence (SI). Undeniably, this ambitious goal signifies a future where AI could surpass human intelligence across all areas. It envisages self-healing and self-improving AI systems that could revolutionize various business verticals and major life aspects.
From Euphoria to Skepticism: Balancing the AI Equation
With such ambitious prospects of superintelligence, it's natural that opinions will vary. Some envision a utopian future where superintelligence could potentially cure diseases, solve world hunger, and reduce human workload. On the other hand, there's a viewpoint grounded in warnings about mass joblessness, increasing crime rates, and the risk of AI dominance. Such contrasting perspectives demand a balanced approach to AI development, ensuring the creation of safe superintelligence that benefits rather than threatens our society.
The AI Route: From Generative AI to AGI and SI
In the evolution of AI, there's been a swift shift in focus, starting from Generative AI concepts, where aims were primarily to democratize AI and make technology accessible to non-experts. The progression towards Artificial General Intelligence (AGI) became the next milestone–a level of AI that could match human intelligence across all tasks. The ambition to nurtur superintelligence, where AI surpasses human abilities in all areas, is now the contested limelight within the industry.
Challenged Timelines Towards Superintelligence
While some industry leaders are predicting superintelligence within a few thousand days, other experts are skeptical about being able to achieve this theoretical goal within such a stringent timeline. Regardless, achieving it would be a remarkable moment in human history and signify one of the most consequential developments for humanity.
The Importance of Business Adaptability in the AI Age
It's becoming increasingly evident that future business success may hinge more on leveraging AI rather than relying solely on domain expertise. Companies need to be ready to integrate AI into their daily functions– from leadership strategies to frontline operations. In anticipation of a future integrated with AI, leaders must be prepared, agile, and adaptable, rising to the opportunities and challenges it may present.
In Conclusion
The future impregnated with AI can evoke a mix of aspiration and anxiety. Staying informed and involved in the conversation around AI, its evolution, and its impact on various facets of life is not just important—it's crucial. It's this understanding that will guarantee we're prepared for whatever the future of AI holds. By remaining engaged in the dialogue, you could ultimately be a part of shaping how our society adapts to and benefits from this transformative technology.
By exploring and understanding the potential impacts of AI on business and daily life, decision-makers are encouraged to anticipate and strategize for an AI-integrated future. Whether superintelligence will be realized in the near future or far, one thing is certain – the impact of AI is pervasive and will be instrumental in shaping our tomorrow.
Topics Covered in This Episode
1. AI Partnerships and Investments
2. Salesforce AI Training Initiative
3. White House AI Global Safety Summit
4. California's AI Legislations
5. Lionsgate and Runway Partnership
6. OpenAI new Model and Funding
7. Apple Intelligence
Podcast Transcript
Jordan Wilson [00:00:17]:
Are we actually a few 1000 days from superintelligence? I mean, aren't we all just getting used to generative AI, and now we're skipping past AGI and artificial general intelligence and skipping straight to superintelligence? Is this actually happened? So Sam Altman just, wrote a pretty in-depth blog post about superintelligence saying that we are thousands of days away. So I'm wondering, is that the truth, or is that just a very timely announcement? Is this marketing for OpenAI? I don't know, but we're going to be unraveling it all and learning together. So what's going on y'all? My name is Jordan Wilson, and I'm the host of everyday AI. And this is your daily livestream podcast and free daily newsletter helping everyday people learn and leverage generative AI to grow their companies and to grow their careers. Speaking of growing your company and career, have to give a quick shout out to our partners at Microsoft, and talk about WorkLab. So why should you listen to the WorkLab podcast from Microsoft? Because it's made for leaders who know they must adapt to stay ahead. WorkLab is the place to find real world lessons and actionable insights to prepare you for the next phase of AI at work. That's w o r k l a b.
Jordan Wilson [00:01:40]:
No spaces available wherever you get your podcast. Alright. Thanks again to Microsoft for, partnering with us for Everyday AI, but this is Everyday AI, and you're tuning in maybe live. So, yes, this is a live stream podcast free daily newsletter. If you haven't already, make sure to go to your everyday ai.com to sign up for that free daily newsletter. And for news, normally, every single day we go over the news, but I think this topic is so important. I just wanted to jump straight into it. So, yeah, we'll still have, the normal daily news recaps.
Jordan Wilson [00:02:12]:
If you tune in for that, sorry. We'll still have that on our website, so make sure you go check it out. Speaking of our our newsletter, you guys wanted the show. Right? I asked you, I don't know, I think we got about 14, 15,000 people in the newsletter. I said, hey, do you guys wanna talk about this tomorrow? You guys said overwhelmingly, yes. So let's get straight into it, and talk about what happened. So, Sam Altman, the CEO and cofounder of OpenAI, wrote a very, kind of out of left field, I would say, blog post about the intelligence age. Mainly talking about superintelligence.
Jordan Wilson [00:02:51]:
Alright. So don't worry. Over the course of the next 20 some 30 minutes, I'm going to give you all the definitions. Alright. So we're gonna get there. But I first wanted to start off by saying what he said. Alright? And talking about that. And and I also actually before that, I have to give out a a shout out to our live audience.
Jordan Wilson [00:03:10]:
Yeah. So, it is hot take Tuesday. So let me know. Should should should I keep this one soft? Should I stick to the facts? Or should I, you know, maybe roast, roast what's going on here? So thanks for everyone tuning in. Rolando, Denny, Kurt, Liz, Tara, everyone else, Chris, Brian, Marie, Michael. Michael beats me to the show every morning. Love to see it. Alright.
Jordan Wilson [00:03:33]:
So let's talk about what Sam Altman said, and then let's break it all down. Alright. So, I'm I'm I'm not going to read the entire thing this episode, but I'm gonna read a couple excerpts, give you some more facts, and give you maybe my hot take on it. Alright. So, since since Tara said burn baby burn and Michael gave me 6 flame emojis, I might have to. So here's here's a a couple excerpts from what Sam Altman wrote. He said, in the next couple of decades, we will be able to do things that would have seemed like magic to our grandparents. This phenomenon is not new, but it will be newly accelerated.
Jordan Wilson [00:04:12]:
People have become dramatically more capable over time. We can already accomplish things now that our predecessors would have believed to be impossible. Skipping around here, and then saying, how do we get to the doorstep of the next leap in prosperity? In three words, deep learning worked. In 15 words, deep learning worked, got predictably better with scale, and we dedicated increasing resources to it. Alright. And then he said it won't happen all at once, but we'll soon be able to work with AI that helps us accomplish much more than we ever could without AI. Eventually, we can have we can each have a personal AI team full of virtual experts in different areas, working together to create almost anything we can imagine. And then here is the crux of it.
Jordan Wilson [00:05:07]:
Right? This may turn out to be the most consequential fact about all of history so far. Bold claim there. Hot take Tuesday, Sam Altman. Then he said, it is possible that we will have superintelligence in a few 1000 days. Let me repeat that. This is Sam Altman, the cofounder and CEO of one of the most important companies in the world saying, it is possible that we will have super intelligence in a few 1000 days. It may take longer, but I'm confident we'll get there. Alright.
Jordan Wilson [00:05:42]:
So what does that mean? That's a that's a nice, it's a nice buffer there. Right? A few 1000 days. So let's just say 3000 to 5000. Right? I don't know. When someone says a few to me, I think 3 to 5. Right? Can I have a few pieces of pizza? I'm not having 1 or 2. I'm having 3 or 5, right? So 3000 days, that's 8 years. Alright? In 5000 days, that's 13 years.
Jordan Wilson [00:06:09]:
Alright. So for argument sake for the rest of this episode, let's just say what Sam Altman is talking about here is somewhere in 8 to 13 years. So a decade, give or take a few years. That's wild. This is an absolutely wild take. Kind of out of nowhere. Right? We're over here just enjoying, you know, large language models trying to keep up with this new phase of artificial, artificial intelligence called generative AI. Right? Playing around with Claude 35 Sonic and Gemini 1.5.
Jordan Wilson [00:06:48]:
Gemini, Google's supposed to have some announcements today. And, you know, then we get this o one model from OpenAI, and that makes us all think. Right? And Sam Altman, you know, at this, this T Mobile conference, we talked about it, on the show yesterday, essentially said, hey, we've gone to this next step. Alright. This next step of AGI. So they laid out OpenAI laid out their 5 steps. Okay? And essentially, Sam Altman acknowledged that this new model, o one, was a pivot from step 2 to step 3. Step 2 is reasoners, and step 3 is agents.
Jordan Wilson [00:07:34]:
Okay? So this new kind of strawberry model that came out called o one, it is in its it's it's in its own class. Right? So I've said that a couple of times. And he said as much, right, at this T Mobile event this week. Saying this was a pivot kind of going from step 2 to step 3 in open a in open AI's 5 step toward AGI. Where did ASI come from? Right? This artificial superintelligence. And are we actually going to get there in 10 years, give or take? I don't I don't know. I'm wild. It's it's it's it's a wild take.
Jordan Wilson [00:08:17]:
Here's here's the thing, and we're gonna go into a little history lesson. Right? We'd like to bring bring facts and receipts at everyday AI, not just, you know, old man Jordan on the porch rambling. But no reputable expert has put an actual timeline this close to super intelligence. Alright? And most of the smartest people in the world have said that this concept of artificial superintelligence is theoretical. Right? And we're gonna break it down, but don't worry. But think of artificial superintelligence. It's when, you know, some people think, oh, it's when you got, you know, terminators walking around. But essentially, it's when the AI systems are much smarter than human intelligence, and it's not even close across all aspects.
Jordan Wilson [00:09:06]:
Right? And it's when, kind of AI is building its own AI. Right? And when it can go off the guardrails for good or bad reasons. Okay? But most have said that, this this concept of, superintelligence, this is more theoretical than practical, than something that we could actually achieve. Right? AGI, I think is is practical. I'd I'd say we're closer than most people want to talk about artificial general intelligence. Alright? But I also think it's important to say to to to note who this is coming from, and how even Sam Altman's status, in in, I'm not gonna say in tech culture. Right? But I'm gonna say how his status in the world, in in in the business world in particular, has changed so quickly over the past 2 years. Right? 2 years ago, you know, this was before ChatGPT.
Jordan Wilson [00:10:02]:
Right? Before the ChatGPT moment of November 2022. Right? 2 years ago, very few people in the world knew who Sam Altman was. Right? You had to be kind of a dork like me, you know, talk about it all the time. Our our team had been using the GPT technology now for almost 4 years. Right? But very few people knew who Sam Altman was 2 years ago. Now I would make the argument, he is maybe one of the most important people in the world, and that sounds strange. I'm not saying one of the most important people in AI or one of the most important people in tech, and I'm not saying that as a, like, a fanboy either. Right? And and and and here's why I say that and why I think we have to actually pay attention, to what Sam Altman is saying here.
Jordan Wilson [00:10:51]:
You're listening on a device right now. Right? Maybe your iPhone or, you know, maybe you're on your Windows Copilot Plus PC. Right? Windows, so Microsoft and Apple, they kind of control everything of of of how we interact, with others, with the world, how we get information. Right? Because for the most part, you know, when you're doing your work, you're either doing it on Apple or you're doing it on Microsoft Windows. Right? And guess what? Both of those companies have put their future behind OpenAI. Right? Their their their new operating systems are literally being powered by the GPT technology. Right? And that's strange. For one company in OpenAI and Sam Altman to have a stranglehold on our devices.
Jordan Wilson [00:11:44]:
Right? Yeah. Normally, it's like you split in half. But now the GPT technology is going to be powering our day to day interactions with our devices, and let's be real. As modern day humans, we are glued to our devices. Right? And I think that artificial intelligence is going to start creeping into our lives more and more, and I think we are going to start recognizing it less and less. Right? Simple things like when Siri becomes actually useful, right? And and when our devices just bring us AI and we don't even really realize it's AI. Guess what? Guess who's behind that? Whether you're Windows or Apple, right, which is probably like 95% of people, in the world. Guess who's behind that now? OpenAI and Sam Altman.
Jordan Wilson [00:12:32]:
Again, 2 years ago, most people didn't know who he was. Today, he is potentially one of the most important people in the world, whether you believe that or not. Because of AI's overarching just impact on our day to day lives, the future of work, and maybe the future of humanity. I don't know. Right? I don't have a tinfoil hat if you're listening on the podcast today. If you're joining us live, you can see. I just got my normal, fluffy hair. But I don't have a tinfoil hat.
Jordan Wilson [00:13:04]:
Right? Like, I'm I'm not one of those, you you know, dystopian, future kind of people saying, oh, you know, AI is gonna take over the world. I mean, could it? Maybe. But we don't get to that point. Whatever that dystopian or utopian fruit future is with AI, if we get to artificial superintelligence, we don't get there without Sam Altman. We don't get there without OpenAI. There's there's no way around that. So that's why when he says something like this, we have to pay close attention. Right? And yeah.
Jordan Wilson [00:13:38]:
So when we talk about this concept of superintelligence or, you know, what what happens next. Right? And is it even possible? Superintelligence is when AI is, you know, building its own AI. It's smarter than all of us. We don't even understand the intelligence, that AI has. Right? Is that is that a line from a Jay z song? You know, when we don't even understand the intelligence that AI has because it is beyond human intelligence, that is superintelligence. And there's 2 main schools of thoughts on this. Is the this Utopian school of thought around superintelligence that it can cure all diseases, can solve world hunger, you know, leads to harmony and world peace. You know, we have to work less.
Jordan Wilson [00:14:22]:
Maybe we don't have to work at all. Right? Bill Gates and, Sam Altman had a podcast conversation on that. Right? Like, the future of of human existence. Right? Why are we here? What is our purpose? Right? But so there's there's the utopian side of superintelligence, and then there's the dystopian side. So that is Skynet, Terminator, Rise of the Machines. Right? We're all jobless. There's crime and hunger, man versus machine. And theoretically, again, I don't know.
Jordan Wilson [00:14:51]:
Sam Altman says, give or take. Right? I gave you guys the math. Few few thousand, few thousand days, 3 to 5000 days, that's 8 to 13 years. I mean, are we going to see in 18 to 13 years, either this utopian future of all diseases are eradicated because of superintelligence, or are we gonna see this man versus machine rise of the terminators? I I don't know. Even when I sit here today, thinking that that could be 8 to 13 years away is mind boggling to me. I almost don't believe it, but, you know, that's why I'm not, you know, a a trillionaire, I guess, living in Silicon Valley, and I'm here hanging out with you all smart people as an everyday person. But I wanna know your take. I wanna know your take as well.
Jordan Wilson [00:15:40]:
Alright? I'm gonna we're gonna feature some of our favorite, takes in today's newsletter. So, make sure hey. Especially our our our livestream audience, get your take in. Do you think which of these futures are we going to see? Are we going to see, this utopian future of superintelligence? Are we gonna see this dystopian future? Is it going to happen? Is it not gonna happen? Is it gonna happen in 2 years? Is it gonna happen in 200? I wanna hear from you, because you all are very smart. And and and sometimes when I'm looking at this and and what people like Sam Altman say, I'm scratching my head, and I'm like, I don't understand this. I don't. Alright. So we'll get more on the article here in a in a little bit, but I wanna talk a little bit about definitions.
Jordan Wilson [00:16:26]:
Okay? Yeah. Yeah. Yeah. I know. You know, we gotta go to school here. We gotta go to school a little bit. Alright. Because if you are brand new, maybe this concept of super intelligence is super confusing.
Jordan Wilson [00:16:37]:
I get it. You know, because every new day, there's a new buzzword and a new large language model, and we're talking about different levels of artificial intelligence, and these benchmarks, and MMLUs. Right? Let's simplify it. Alright. Let's talk about these, I think, these 5 very distinct, I'll I'll I'll say categories. Maybe categories of artificial intelligence or definitions. Alright. So we have artificial intelligence, we have generative AI, we have artificial narrow intelligence, and then we have artificial super intelligence.
Jordan Wilson [00:17:18]:
Alright? Let's quickly let's quickly break these definitions down. Artificial intelligence is nothing new. Yeah. Right? Its its origins can technically be traced back to the 19 forties, but it was a concept introduced in 1956. Alright. So artificial intelligence in the simplest form, and I am literally making this as simple as possible. Right? Because I know some of you guys are out walking your dogs or maybe on the treadmill, you you know. I love when people tell me, they're like, you know, Jordan, I get on the treadmill before the show, and I stay on there until it's done.
Jordan Wilson [00:17:55]:
So sometimes I'm like, hey, I feel bad when I rant accidentally for 45 minutes when I could have wrapped this up for 30 minutes. But you know, maybe that's just me, looking out for your health. Right? But artificial intelligence, nothing new. Been around for many decades. Half of a century or more depending on what you look at it as. And artificial intelligence and kind of deep learning, machine learning has been used widely in the business world going back many decades, back to the seventies and the eighties, the experts boom. Right? Artificial intelligence itself is not new. Right? And whether you know it or not.
Jordan Wilson [00:18:29]:
Right? Like, if you ever applied for a a home loan or a credit card, you you know, back 30, 40 years ago, there was probably artificial intelligence involved. You just didn't know it yet. Now let's talk about generative AI. Right? What's all this buds? Generative AI. Well, this is I'd say new ish. Right? You could technically say this is, in the mid 20 tens, but I would say there is a line in the sand. I'm not gonna argue with NVIDIA CEO, Jensen Huang, you know, who says, hey, generative AI was the ChatGPT moment. Even though you can say, oh, you know, there was transformers in, you know, 2017 and some of the underlying technology, you know, earlier in the 2010s.
Jordan Wilson [00:19:10]:
Let's just say generative AI is the ChatGPT moment of 2022. Alright? In generative AI, the big difference is it is AI democratized. Right? It brings AI, right, because before to take advantage of artificial intelligence, pre generative AI, you might had to have, like, a a a PhD in machine learning or you you had to be a a super geek. Right? Sorry, super geeks out there. Hopefully, you don't take offense to that. But it was very hard to actually use AI pre 2020. Alright? Or pre 2022. But essentially, generative AI is is text to anything or actually anything to anything.
Jordan Wilson [00:19:55]:
Right? So it's creating something new. So it can be text to text. Right? You're using AI when you're using a ChatGPT, a Google Gemini, anthropic Claude, you know, models like AI images, like mid journey, you know, these, diffusion models or, you know, runway, like text to video. Right? And then we're getting into this multimodality phase as well. Right? Where you can upload a a photo and it will make you a website. Right? You can upload a photo into chat gbt, and say, hey. Make this into a website, or you can upload a video into runway and have it turn it into a different kind of video. Right? So this generative AI is a multimodal input that generates a multimodal output with artificial intelligence, and it is artificial intelligence democratized.
Jordan Wilson [00:20:44]:
Now let's talk about artificial narrow intelligence. This is something that we don't talk about a lot. Technically, I think it's it's called ANI, but this has already been achieved. Okay? So artificial narrow intelligence is when an AI system is better than the smartest human in the world at a narrow or specific task. K? So good example of that. Right? You had Watson on Jeopardy, right, an AI system beating the smartest humans. You had, Deep Blue, you know, beating the, I think that was, in in in AlphaGo in in 2016, Deep Blue in 1997. So many of these innovations were early, IBM inventions.
Jordan Wilson [00:21:27]:
Right? But we've had examples of artificial narrow intelligence now for multiple decades, and that is when an AI system has proven itself to be better than the smartest human in 1 in in one specific, task, in in one specific, narrow place. Right? Niche, skill set, category. And, you know, hey, hot take. It's hot take Tuesday. You all said bring bring the flames. Right? I think if you look at artificial narrow intelligence. Right? Yes. There was these very very famous and highly visible early examples.
Jordan Wilson [00:22:06]:
Right? Jeopardy, AlphaGo, Deep Blue, and chess. Right? I'd say we we we have artificial narrow intelligence probably everywhere. Right? Maybe not everywhere, but I mean, you literally have, AI systems solving decades old math problems that humans, the smartest humans have spent their careers trying to solve. The smartest humans in the world could never solve this problem, a specific AI system could. Right? That's an example of artificial narrow intelligence. But that same system, right, that solved that decades old math problem, right, That one can't go create, you you know, and that was called fun search from DeepMind at Google. Right? A fun search LLM, solve this decades old math problem. That same model cannot go out and, write me a a a blog post and create me a video, and it can't also, you know, diagnose a certain disease or to create a new protein.
Jordan Wilson [00:23:13]:
Right? That system is narrow. It was built for one very specific purpose and to outperform just on that one very specific purpose. Right? That is narrow intelligence. Then we have to talk about AGI or artificial general intelligence. Okay? That is when we get human level intelligence across kind of like all tasks. Right? And here's the reality. This is when we talked about, you know, this 5 step, 5 step plan. Right? The 5 step plan for open AI for AGI.
Jordan Wilson [00:23:56]:
This is a moving goal post. Right? The concept of artificial general intelligence. Right? And and let me go through just just so you all know what OpenAI, since we're talking about Sam Altman's blog post, on ASI or superintelligence. Let's talk about their 5 levels internally. So level 1 is conversational AI, which we've had for a long time. Level 2, and this is toward AGI, is reasoners. Level 3 is agents. Level 4 is innovators, and level 5 is essentially organizations.
Jordan Wilson [00:24:30]:
Right? When AIs, can possess, intelligence of an entire organization. So when we talk about AGI, think it's a moving goal post. And I'd say most people right now say that we are maybe 2 to 20 years out. I know that's a wide range, but also I did a whole show on artificial general intelligence a couple of weeks ago, and I broke this down for you as well. Because literally, 8 years ago, most of the earliest projections for AGI were in the 20 fifties. Let me repeat that. 8 years ago, most projections for artificial general intelligence were in the 20 fifties. Alright.
Jordan Wilson [00:25:15]:
Now when you look at it, it's different. I'd say the smartest people that like I'm like, oh, yeah. These people are smart. They're saying less than 5 years. Right? I'm in that boat as well. But this same Altman thing, a few 1000 days to super intelligence, I don't know. That to me blows this even AGI timeline out of the water. Right? I was in a closed door session with NVIDIA CEO Jensen Wong a few months ago where he was asked about this.
Jordan Wilson [00:25:45]:
And, yeah, he said, yeah. Probably less than 5 years. And I I would tend to agree. Right? Let me ask you this question, and let me let me be honest. Right? If you had to be locked in a room for a year, would you rather have, 100 of the smartest people in their specific fields, or would you have the most capable large language models? Right? An unlimited use case. And I'm not saying, like, for companionship and then not go crazy, but if your only goal was to solve problems, and these problems were across a a various, various expertise. Right? I don't know. I would take the large language model every single time.
Jordan Wilson [00:26:33]:
It's not even close because here's here's the reality. Even the people who are the smartest people in their fields, there are things even in their field that they probably get wrong sometimes. Right? And for me, I'd rather have one model than to have to talk to a 100 different people. That's me. But that's this concept of AGI. Right? Is a single chatbot, smarter than a room full of experts? That's always how I define AGI because it is moving goal posts. But yeah. Now that timeline, it might be wild.
Jordan Wilson [00:27:15]:
Alright. Apparently, we're blowing it up. Yeah. People make things messy. I like that. Sometimes sometimes I enjoy talking to computers more than humans. Alright. Now let's talk about ASI.
Jordan Wilson [00:27:29]:
What is the definition of superintelligence? What is the thing that Sam Altman is writing this long blog post about? Alright. So this is when AI surpasses human intelligence in all areas. Right? Not just narrowly, not artificial general intelligence, but this is when essentially AI systems are self healing. They're self improving. Right? You know, GPT seven is like, human, I'm good. Right? Yeah. You're slowing me down. We'll we'll take it from here.
Jordan Wilson [00:28:02]:
We'll work on GPT 8 and GPT 9, and we'll, work on curing cancer and world poverty. You can stay at home. Right? We really don't need you. You're you're dumb. Right? That's that's superintelligence. That's ASI. And and for the longest time, this has been a theoretical term. Right? And like I said, this Sam Altman saying this is probably the most prominent person putting an actual timeline on superintelligence.
Jordan Wilson [00:28:29]:
Right? But the funny thing is I laughed at this anyways. Right? Got a big blog post and then say, hey, wait a few couple thousand days. Alright. In in the AI community, there's there's a joke. With open AI, you get a blog post and you get a wait list, and it seems like that's what we got with superintelligence as well. Right? We got a blog post and then said, wait a few 1000 days. But what you don't have to wait a few 1000 days for is WorkLab. It's out now.
Jordan Wilson [00:29:00]:
Alright. Let me tell you a little bit more, about the WorkLab podcast from our partners Microsoft. So the WorkLab podcast from Microsoft is made for leaders who want to understand how work is changing. Effective leaders adapt, they stay ahead of trends, and they embrace any edge they can get. They also know that AI powered organizations will be better at spotting opportunities, creating new products and business models, and maximizing value. So for real world lessons and actionable insights to help you stay ahead, check out the WorkLab podcast. That's worklab. No spaces.
Jordan Wilson [00:29:37]:
Available wherever you get your podcasts. Alright. Thank you to Microsoft, our partners there. So let's just jump into this bigger picture here. Okay. So we talked about, superintelligence and kind of these definitions, but what Sam Altman here is talking about is something bigger. Right? The title of the blog post, which we already, read some of the most important excerpts from is called the intelligence age. Alright.
Jordan Wilson [00:30:02]:
And without having to, you know, dive into these graphs here, human history is largely broken into different periods. Right? Different ages. And I wanna talk about those here real quick. So you have the stone age. Right? That's when we're just banging rocks around. Alright. And then in the and these these these years are approximate y'all. So, middle ages or medieval ages, you know, 500 to 1500.
Jordan Wilson [00:30:35]:
Then you have the the renaissance age in the 1700, and then maybe the modern era in the 1800. And then we go into the, industrial ages in the mid 1800 to the mid 1900. Then we have the digital age, right, of the late 1900. So essentially, we have these different eras in human history, and largely, they are marked by certain inventions or innovations that change how we all not just work, but how we live. Right? So even when you talk about, electricity. Right? Electricity was invented in the 1600, and it became popularized in the 1800. Right? So in the modern era or the renaissance age. And then in the industrial age.
Jordan Wilson [00:31:33]:
Right? So we had manufacturing in in warehouses and assemblies, right, in the, mid 1800 1900. And that changed how we worked. Right? It changed how we lived. And you could say the same thing to be true with the digital age of the late 1900. Right? We have the Internet, then we have, social media. We have the cloud. We have mobile devices. Right? So that's part of this digital age that changed how we work.
Jordan Wilson [00:32:03]:
Right? I don't know if you guys remember, like, working in pre Internet era. Right? I started I started working full time as a journalist when I was, 16 or 17 years old. So, you know, I had a computer, but the Internet was still a very new thing, and people didn't know how to how to treat it. Right? Especially if you're working in newspapers. People were looking at, you know, the Internet like it was the devil, and I think that's also how people kind of look at AI right now. Right? And we have to look is artificial intelligence and generative AI, is this a new age? Is this going to change how we all work? How we all live? And I think it depends on if you have that more dystopian outlook on the future of AI or a more utopian outlook. Alright? And we have to think and and have this conversation. Is this real? Is what Sam Altman's talking about? Like I said, regardless of your view on Sam Altman, whether you think he's the next Steve Jobs or you think he's selling us snake oil, it doesn't matter.
Jordan Wilson [00:33:15]:
Because like I said, he's he is now one of the most influential people. Microsoft and Apple are placing their immediate futures on the technology that he's building. So is this real? Are we actually, you know, is superintelligence a few 1000 days away? Are we actually entering this new era of human history? This intelligence age, right, where intelligence is commoditized. I believe in that part. Right? I believe that in 10 years, you're not going to be rewarded, you know, whether you're a business owner, or in your company, in your job. You're not going to be rewarded for what you know. Right? You're not going to be promoted or get a raise or get a new job from your domain expertise. It is how you leverage AI in your domain that I think will be rewarded.
Jordan Wilson [00:34:10]:
So I do think intelligence is changing, but is it really a a shift in human history, or is this maybe just some timely marketing from OpenAI? Yeah. Gotta talk about that y'all. You didn't think I was you didn't think I was gonna bring up the elephant in the room, y'all? The $6,500,000,000 elephant. You didn't think I was gonna talk about it? Is it, happenstance, or is it intentional that Sam Altman released this blog post about this and and and, you know, go read it. It'll be in our newsletter. He obviously presented a very utopian future of superintelligence. I would say, you know, he did about 90% utopian, 10% dystopian. Right? 90% rainbows and baby kittens and 10% bad guys.
Jordan Wilson [00:34:59]:
When I think it's I mean, you have to actually look at it 5050 because when you talk like that, I I I I think people automatically, distrust you. But it just so happens that in the one day span that OpenAI is supposed to be closing its fundraising round of $6,500,000,000. Right? Making it the largest fundraising round in human history. Alright. Coincidence? Maybe. Also, this blog post comes, from recent reports from, about 6 or 7 weeks ago that said OpenAI is also losing up to $5,000,000,000 in 2024. We don't know if those reports are true or not, but you gotta think. You gotta think.
Jordan Wilson [00:35:54]:
Is is Sam Altman coming and putting his his foot in the sand and kind of, you know, planting his AI flag on the AI moon and saying, yes. We are achieving superintelligence in a couple 1000 days. Is that real, or is it marketing? Alright. Let's wrap this up. I don't want this to accidentally be, in case you are actually on that treadmill saying, finish it up here, Jordan. By the way, reach out to me. I I leave my email in my my my LinkedIn in the show notes on the podcast. Where do you listen? I wanna know.
Jordan Wilson [00:36:31]:
Live stream audience. Let me know too. But so what's what's our take? What's my take on this? Are we going to achieve superintelligence in, a few 1000 days? Right? Are we gonna see it in 8 to 13 years, give or take? I don't know. I don't know. I'd say as someone that has been lucky enough to interview this literally the smartest people in the world on AI. Right? I've brought brought you all, some amazingly smart people over the last 18 months, you know, 370 episodes. I talk about AI all the time. I think about it.
Jordan Wilson [00:37:16]:
Right? And I'm not thinking about it in a, reflective way or in a reactive way. I'm constantly thinking about the future of work. I never really go as far as, like, the future of our human existence. That's not really what I'm, you know, talking about or thinking about, but now I might. Right? Because like everyone else, I wasn't really taking superintelligence, the timeline of it very seriously because up until, you know, 24 hours ago, most of the smartest people in the world said, hey, this is more theoretical. Right? The rise of the machines. When AI is creating new AI and repairing itself and doesn't need humans anymore, and we can't even the smartest humans in the world can't even understand the level of intelligence that AI has. Every time I say that now, I think of the Jay z line.
Jordan Wilson [00:38:08]:
Right? So I don't know how to feel about this this concept that ASI could be around the corner, because my brain has not, fully wrapped itself around this concept of superintelligence. Because if I'm being honest, I'm a lot of times focused on AGI, artificial general intelligence. Because I think I personally think we're pretty much there. Right? The problem is every time that we come out with with more powerful AI systems, we essentially keep pushing that goalpost. Right? But for this a AGI show I did a couple of weeks ago, I went back and looked at how people defined AGI 8 years ago, 12 years ago, 15 years ago. Right? Internet archives are amazing. And by these definitions from 10 years ago, by every definition, today we have already achieved AGI, but that's according to definitions from 10, 15 years ago. So I think if I'm being honest, I think in 2 to 5 years, it will probably be undeniable that we've achieved AGI, but I'm sure people are still gonna keep punting that definition along.
Jordan Wilson [00:39:25]:
And I think the same will hold true with super intelligence. Right? In 8 to 13 years, right, will we have AI systems that are generally better at every single task than humans? I mean, probably. Probably. Y'all look, this generative AI wave that we've been riding now for, 20 months since ChatGPT came out, it has exponentially grown faster than the world's smartest experts could have or would have predicted. So I'm not gonna sit here and and, you know, say the same about ASI, and say, oh, super intelligence. It's it's fake. It's theoretical. We'll never get there.
Jordan Wilson [00:40:11]:
So I do think that we are going to make massive steps there, and I do think in those massive leaps and bounds, we're probably just going to go completely step over HEI. And it's it's probably just going to be at some point in the next 5 ish years. Oh, in assumption. Right? And I think eventually in the next 5 years, you're probably gonna hear, you know, Saudi Nadella from Microsoft talk about AI. You're probably gonna hear Google talk about ASI superintelligence. You're probably gonna hear, you know, Mark Zuckerberg saying meta is focused on superintelligence. So I think what's gonna happen, is is companies are just going to start focusing on superintelligence, and safe superintelligence. Right? Yeah.
Jordan Wilson [00:40:57]:
SSI. Shout them out there. So my take is I think that we will be making strides toward Super Intelligence, but I don't know if in my lifetime if we will actually arrive. Because I think like AGI, superintelligence just might be one of those things. We keep kicking the can and kicking the definition because, okay, Sam Altman. What happens if in a few 1000 days, if in 8 to 13 years, what happens if we actually achieve ASI? Right? Then what happens with open AI? What happens with you personally? Do we just cease to care? Right? Do we stop building? Do we just hand everything over, or do we all just become kind of, odd, like, 3rd party auditors to, you know, hey. I'm gonna go watch my my ASI bots, make sure they're doing everything correctly. Right? I'm gonna sit up in my my rocking chair, sip on my lemonade, and make sure my ASI bots are doing, you know, building, you know, glitter covered path to prosperity.
Jordan Wilson [00:42:10]:
I don't know. So the quick hot take takeaway, I don't think 8 to 13 years or a few 1000 days. I personally don't see that happening because I see this definition constantly changing. Alright. One thing that's not gonna constantly change, everyday AI. We're still gonna be here today, tomorrow, and for probably, hopefully, many 100 or 1000 of days to come. Right? Until, the ASI take my job. So thank you for tuning in.
Jordan Wilson [00:42:44]:
If this was helpful, please let me know. We spend so much time putting these shows together. If you think I'm crazy, let me know as well. Get your comments in. Are we going to see superintelligence? Yes or no? And are you going to go sign up for our use, our newsletter? Yes or no? Please go do that. Your everydayai.com. Sign up for the free daily newsletter. Thank you for tuning in.
Jordan Wilson [00:43:04]:
We'll see you back tomorrow and everyday for more everyday AI. Thanks, y'all.