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Thriving in a World Redefined by Generative AI: Key Insights and Takeaways
As a globally shifting force, Artificial Intelligence (AI) has an undeniable impact on corporations and individuals alike, subtly weaving its influence into various facets of our everyday lives. Notably, Generative AI, a niche yet rapidly expanding branch of AI, is driving significant transformations in industry operations and societal dynamics.
The Unprecedented Pace of Generative AI
Arguably starting to show its real impact around late 2022, Generative AI brought about a sea of change in less than 18 months from its inception. Its influence permeates time and cost savings, innovation, paramount decision-making, and sustainable outcomes across multiple sectors - a clear nod to its latitude in application.
The Dawn of AI-Driven Startups
Mirroring the rapid growth of Generative AI, approximately 2,000 startups have emerged in the past year and a half, with each focusing on leveraging AI's potential in various industries. This rising trend reflects the active industry adoption marking AI as a valuable ingredient in contemporary business models.
Society and Work: An AI-Fueled Shift
The role of AI goes beyond corporate objectives, paving the way for increased human-machine collaboration shaping our societal future. AI serves as a catalyst for wealth and power distribution, transforming job roles and how we operate within society at large.
Impact and Implications: The AI Paradox
As much as AI revolutionizes our ways of working, issues such as deepfakes, inherent biases, and toxicity are looming hurdles that need urgent attention. An AI race between nations can potentially disturb geopolitical dynamics, with tech companies racing to harness AI's power, potentially rivaling the Gross Domestic Product (GDP) of some countries.
The Pillar of Responsible AI Use: A Sound Data Strategy
While the capabilities AI presents are profound, it necessitates a well-curated data strategy. Anecdotes from the agricultural sector have seen AI use in regulatory compliance, leading to cost savings of up to $3 million annually. AI has further beneficial applications in predictive maintenance, demand forecasting, waste reduction, quality improvement, and supply chain management across industrial processes.
Harnessing the Power of AI: A Balance of Progress and Caution
While AI's progression is blazing, it becomes crucial to strike a balance between leveraging its advantages and conscientiously managing inherent biases and toxicities. This brings about the need for data quarantine and review, ensuring the responsible use of AI systems and upholding the integrity of processed data.
The Road Ahead: Experiment and Thrive in an AI-Accelerated World
The rapid pace of generative AI's development mandates an adapt-and-thrive strategy. The surge of companies boldly investing in AI underlines its growing significance in shaping a competitive business landscape. To stay ahead of the curve, businesses must actively experiment and keep abreast of AI developments, balancing their use of AI with ethical considerations.
The transformation brought about by AI is not just technological - it's a business transformation, one that is crucial for maintaining competitiveness in today's fast-paced world. Therefore, the mantra for the AI-empowered digital era is clear: empower innovation through AI. Embrace the metamorphosis with utmost caution while also utilizing AI's potential to prosper in this digitally-accelerated world.
Topics Covered in This Episode
1. Generative AI Impact Timeline
2. AI's Impact on Society and Work
3. Concerns and Challenges with AI
4. AI’s Role in Industries
5. Data Strategy Importance
Podcast Transcript
Jordan Wilson [00:00:17]:
The very definition of jobs and how we work is changing before our very eyes, and it's actually changing quicker than maybe ever. Right? Like, when we look at past, innovations such as the Internet, cloud, mobile, I think that generative AI is maybe redefining how we work faster than any of these previous tech innovations. And that's what we're gonna be talking about today and a lot more on everyday AI. What's going on y'all? My name is Jordan Wilson, and I am the host of everyday AI. And this is for you. This is your daily live stream podcast and free daily newsletter helping everyday people like you and me learn and leverage generative AI to grow our companies and our careers. So if that sounds like you, first of all, thank you for tuning in. If you're on the podcast, make sure to check out your show notes for a link to our website, your everyday a i.com.
Jordan Wilson [00:01:09]:
Each and every day, yes, we grab all of the most important insights and we recap today's podcast in our newsletter. So make sure you check that out. Alright. I am extremely excited for today's conversation. But before we get started, we're going to do as we do every day and go over what's happening in the world of AI news. So first, Microsoft, according to reports, is set to revive the 3 Mile Island nuclear plant to power AI growth. So Microsoft has announced a groundbreaking deal to purchase 100% of the power generated by Pennsylvania's dormant 3 Mile Island nuclear plant for the next 20 years. This agreement aims to address the tech industry's escalating energy demands, particularly for artificial intelligence.
Jordan Wilson [00:01:54]:
The restart of the Three Mile Island plant, which was closed in 2019 due to technical difficulties, is slated for 2028 according to Constellation Energy, the plant's owner. The 3 Mile Island site is historically significant as the location of the worst nuclear accident in US history, raising questions about safety and public perception surrounding nuclear energy. By committing to a long term energy purchase, Microsoft is positioning itself to meet the growing energy, energy demands of AI while potentially influencing other tech companies to consider similar energy strategies. Alright. Our next piece of AI news, I like this one. This one's personal here. Alright. A tech billionaire is making headlines this morning as he warned of AI's impact on jobs and workforce management.
Jordan Wilson [00:02:45]:
So according to Jim Kavanaugh, the CEO of Worldwide Technology, corporate leaders need to start b s ing their, need to stop b s ing their employees and be honest with them about the transformative effects of artificial intelligence on the work floors. So in a recent interview, Kavanaugh asserted that employers are too smart to believe that AI will not change their work environments or eliminate jobs, emphasizing the need for transparency from leaders. So he believes that trying to downplay the impact of AI on jobs is misleading stating, if you think you're going to try to game this, that's just b s. Alright. So he acknowledged that while AI will disrupt some jobs, it is also likely to enhance productivity and create new opportunities, emphasizing an optimistic outlook on AI's potential. If only some, you you know, the same tech billionaire laid out his generative AI blueprint for success. Oh wait, he did that with us when he joined the Everyday AI Show earlier this year, so make sure to check out the show notes if you wanna catch that episode. Alright.
Jordan Wilson [00:03:46]:
Our last piece of AI news, OpenAI's $6,500,000,000 funding round is facing high demand and selective backing. So OpenAI, according to reports, is nearing the final stages of a significant $6,500,000,000 funding round which has attractive has attracted overwhelming interest from potential investors. So the funding round is oversubscribed indicating that investors are eager to contribute more capital than OpenAI is willing to accept. So reports suggest that the excess demand could reach 1,000,000,000 of dollars, highlighting the high stakes involved in this financing effort. Prospective investors will learn today on Friday whether they have been selected to participate in this lucrative deal adding an element of suspense in the proceedings. Speaking of OpenAI, its CEO Sam Altman acknowledged, recently in an interview with T Mobile on the progress of its new o one model. So in the interview, Altman alluded to the company's own internal road map of the 5 stages to AGI or artificial general intelligence. He all but acknowledged OpenAI achieved level 2, which is reasoners with its o one model, and that level 2 achievements means that level 3 could be achieved very quickly and that level 3 is agents.
Jordan Wilson [00:05:02]:
Alright. A lot more on the AI news in today's newsletter, so make sure you go check that out at your everydayai.com. Alright. But that's not what we're talking about today. We are talking about how AI is fundamentally changing jobs, changing, the workforce. So, I'm excited, for today's show. So, let's go ahead and bring on to the show. There we go.
Jordan Wilson [00:05:25]:
We have, Kumar Parakala, the president of GHD digital. Kumar, thank you so much for joining the Everyday AI Show.
Kumar Parakala [00:05:34]:
Good morning, Jordan, and it's a pleasure to join your, very top rated show. It's a great privilege.
Jordan Wilson [00:05:40]:
Alright. Well, hey. Thank you for joining us, and, you know, shout out to everyone joining us live, tuning in to hear from Kumar. So Rolando, Tara, Daniel, Marie, Kurt, everyone else. If you do have a questions for Kumar, please make sure to get it in now. But before we dive in, Kumar, you obviously have a very, very impressive background in the industry, but maybe tell everyone a little bit first about, GHD Digital if you haven't heard, of of you guys.
Kumar Parakala [00:06:06]:
Yeah. Jordan, GHD Digital is a digital transformation, professional services business, that I had the opportunity and the honor of, founding about 6, 7 years back. It was created as a part of the GHD Group, which is a global, professional services, company. And, we've we've got about 12,000 people in GHD, and we specialize in architecture, engineering, construction, industry related services. And, yeah. So we we are rated now. GCDig is rated number 1 in the industry for innovation and helping clients with digital transformation, acceleration, and we are, quite pleased with what we have achieved in the last 5 to 6 years.
Jordan Wilson [00:06:57]:
Yeah. And maybe let's even set the stage there, Kumar. So even over the last 5 or 6 years, right, artificial intelligence is nothing new. Right? It's been around for many decades. But how would you say that generative AI has even changed, the work that you all do?
Kumar Parakala [00:07:16]:
Yes. I think generative AI has taken us by storm, and we saw that happen, in 2022 when we had, the release of ChatGPT, which surprised everyone. You know, AI has been there since 19 forties, when, you know, 2 researchers, McCulloch and Pitt, felt structures in the brain are similar to electrical structures. And for the next 60 years or more, attempts were made to implement electrical circuits, and then we moved to software. At the beginning of 2,005, we started doing deep learning and big data, and the computer power started increasing. And then in 2012, we had, GPUs, and, they revolutionized the kind of computing processing needed. And as a result of that today, NVIDIA is one of the most valuable companies of the world as you very well know. So over the last since 2020 2012, over the last decade there, so from then onwards, we have very large neural networks, vast amounts of data, and huge computing power creating this situation where we have intelligence being generated by machines.
Kumar Parakala [00:08:42]:
And, and as a result of that, the the whole conversation about AI has shifted. The power of AI has shifted, and people are very excited about what is possible. So, whatever we are seeing, is is all has has it's all happened in the last 4 or 5 years, this acceleration, and this will continue to happen. And it will it will change the way we live and change the way we work.
Jordan Wilson [00:09:09]:
So let's dive into just that. So, you know, even GHD Digital, you all work in and around the AEC industry. Right? Architecture, engineering, and construction. How would you say already? Right? And you kind of referenced this, kind of this almost shift, right, in in 2022 with large language models. But how has AI, specifically generative AI, already started this maybe redefinition of jobs in the AEC industries? Yes.
Kumar Parakala [00:09:38]:
So, our prediction is, and these are happening to various varying degrees, taking into consideration that the real impact of GenAI has started becoming visible only since last year. It's not been there forever. So we're talking about late 22, November, December, but generally 2023 onwards. So we are we are talking about less than, 18 months here. And during the and and 18 months, things have lot of things have happened. You know, in our own industry, AC industry, we are seeing, generative AI tools and prototypes being used for time and cost savings, for innovation, to for decision making, for sustainability outcomes, and safety outcomes. So so those those ex those experiments, if I can say, are happening. We have close to 2,000 start ups where who that have just propped up over the last 18 months to focus on the industry.
Kumar Parakala [00:10:49]:
So you can see the amount of innovation that is already happening in a very, very short time. And and, I have no doubt that we will be in a situation where, it will add significant value to the design build and maintain elements of the industry as we go. So so our industry, like any other industry, is set for, you know, huge impact of AI. The work has just begun, and, it's important that everyone who is, in the society should be seriously interested about, what is possible and how they can play a role.
Jordan Wilson [00:11:41]:
I wanna go straight into that. I love that you said everyone needs to be interested in AI and its impact. Right? Because I think maybe, traditionally, when we've talked about AI, you know, people are like, oh, that's that's for the data people. Right? That's for the, you know, computer scientists. That's for them. You said everyone should be interested in this right now. Why?
Kumar Parakala [00:12:05]:
Yeah. I think, you know, we are going through one of the pivotal moments in the way in which the society operates, And that is directly as a result of the intelligence that is going to be available to us that is already available to us. You know, you you can now talk to, LLM, models, like Chad GPT and others, and they will answer you a lot better than, any individual. And some computer scientists claim that, these models are now smarter than, a very well experienced legal professional or an accounting professional. So, the quest for intelligence commoditization has already begun. So so then what happens? What is the role? I mean, human beings were considered to be the most intelligent species. What happens if the machines then take over that intelligence? What is the role of the humans in that so human machine collaboration is the new space. So we should be interested from multiple perspectives.
Kumar Parakala [00:13:18]:
1, impact on the society, impact on the industries that we work, impact on the people that have those, that that are employed on those industries, and also shifting. You know, it's not only redefinition of jobs. It's also shifting of the wealth and power. I very strongly feel that as the AI acceleration happens, technology companies will have a huge amount of shift in the power dynamics, and they will become the most wealthy companies. Some of them will be wealthier than the nations. You know, for example, some of the tech companies have a greater revenue than the GDP of Canada. So tech companies will become very powerful. And how do you kind of regulate tech companies? Deepfakes, bias, and toxicity could take over our Internet.
Kumar Parakala [00:14:16]:
So how do you deal with that? Because that that will have harmful there's a that's a third impact, and that's the reason why we should be very, very, very careful, very serious about this. And last but not not least, AI race is going to be the new arms race. So we will have the Russian AI or the Chinese AI or the American AI or the Indian AI, and because this is intelligence, and and and that will again have a huge impact on the world order, on geopolitical, dynamics. AI, whether we like it or is gonna impact all of us, and that is the trajectory that we are on right now. And, therefore, we should be very interested in whatever is happening around us in this space.
Jordan Wilson [00:15:02]:
I love that answer. Kumar's just bringing the, the spicy takes already, and we're only a couple minutes in. I love it. So, you know, one thing that you even said there, right, you you talked about and acknowledged, some of these, you know, huge downfalls of generative AI, right, like deep fakes, and biases, and toxicity. I think that's important to call out, and I think sometimes we think, right, we think oh, these are things that just impact us in our personal lives, right, on social media, but I'd say maybe not, right? Because also if large language models are essentially reflections of public information on the internet that gets scraped, right? So what dangers maybe do, the future of generative AI also present for companies? Right? Because I think sometimes we only focus on the premise or the promise, but, you know, you are, the president of one of the companies that's a global leader in digital transformation in a $200,000,000,000 industry. So what are some of the things that you maybe worry about or challenges when it comes to generative AI in the workplace?
Kumar Parakala [00:16:08]:
Yes, Jordan. So you said something very important, very profound, and that is the way we engage with the AI systems will create our future. Okay? So what that means is that you you you said, okay. You know, they're taking a huge amount huge amount of data. And, for example, Charge 53 had 500,000,000,000 words that it used, 175, 1000000000 parameters. So they take huge amount of data in the process. But if that data, which is again generated by humans, has got biases and toxicity and something undesirable, the AI models will bring out that. And if something is good, is put in the put in the system, they'll bring that out.
Kumar Parakala [00:16:56]:
So it's very important to be conscious users of all AI models. And because that data is being used, that data is being circulated, that data will be, again used for future purposes. So so from, from from, you know, futuristic perspective, again, having the guardrails, having the data quarantine, having that data review is absolutely critical for responsible AI.
Jordan Wilson [00:17:29]:
So let's let's get into that piece, the data. That's everything now. Right? You know, even we've you know, our company has personally we've worked with, you know, small companies doing, you know, $20,000,000 in revenue, and we've worked with companies that are doing 20,000,000,000. And and every single company, it seems, has a different stance on their data and and and how they're going to maybe integrate it or not integrate it, with large language models. So maybe, you you know, you kind of said, Kumar, hey. This is an AI arms race, and you kind of mentioned the different companies, but I assume that is also within different industries as well. So, maybe whether you wanna talk about it personally through, GHD scope or if you wanna talk about the bigger picture, is that also going to be, the same for different industries, and and who wins and who loses in this new competitive, business landscape?
Kumar Parakala [00:18:19]:
Yes, Jordan. I think data strategy is the most important aspect of any successful AI application. And, for example, in our own industry, I'll just give you an example, We had a client, in, in the agriculture sector who faced regulatory compliance challenges due to their plant expansions and evolving regulations, and they were risking significant fines. And this is also a challenge for many in financial services sector as well. When they don't comply, they get huge huge, huge fines. So one of the clients one of the companies that I know, they they almost got a 150 $1,000,000 in fines. So, so what we did, what my team did, you you know, utilizing AI and machine learning, is to develop a a system that mapped operational limits to regulatory requirements. And then we use the Internet of Things devices, to connect to different daily operating limits to equipment ensuring, collecting a lot of data, processing that data, and then ensuring compliance.
Kumar Parakala [00:19:35]:
This impact was substantial because and that's what is needed. Our client was able to get a real time insights into improving their regulatory reporting, and being able to undertake predictive maintenance, reducing errors, and, of course, making fast decision making. But last but not least, they were also able to save about $3,000,000 per year. So, though that's a great example. It's also very related to the topic of this, conversation, industrial processes. We have examples, which we are aware of where AI is being used in industrial processes for predictive maintenance, demand forecasting, waste reduction, quality improvement, and, and also supply chain management. So these are all direct applications. And they and, again, again, the whole generative AI paradigm is only 18 months old, and we're already seeing active use.
Kumar Parakala [00:20:38]:
And this example that I've given to you is a good example where we are ourselves experimenting, with generative AI.
Jordan Wilson [00:20:46]:
And I wanna go right to that. Right? So, yes, generative AI is only, you know, 18 months old, right, for the most part, but it it it feels like in terms of development and updates, we've seen 18 years worth, right, because every day there's a new model, there's new best practices, right, and it's extremely hard to keep up with. And then you also, Kumar, just talked about risk, right? So it but I I I personally think there's still this huge gray area and some ambiguity around large language models and data. Right? I I've talked kind of off the record with multiple for Fortune 100 companies and and they they they have very different viewpoints on, you know, giving their data to large language models. So, you know, how should companies be approaching this? Should they be more cautious and have a slow and steady, or should they know kind of like what you said? It is an arms race. You have to get in. You have to be one of the first, right, in your industry if you want to get ahead. How should companies be approaching that?
Kumar Parakala [00:21:45]:
Yes. It's a it's a great question and, you know, different, countries have got different, legislative and, you know, regulatory frameworks and sharing data in one country could be relatively easier compared to sharing data in another country like, for example, United States. So what, what, the leaders of these companies need to be very aware of is that, well, if it's highly confidential information, they should quarantine the data and keep it within the walls of their organization. But if it is, like, industry specific data, they should quite openly share because ultimately the competitiveness of any industry, including our own industry, which is architecture, engineering, construction industry, will depend upon the collaboration of the industry players. If they don't collaborate, the the the technology companies, the start up companies, the others who are actually actively experimenting, they will beat the well established players. That's the that's the whole paradigm of Clayton Christensen's, you know, innovation dilemma, you know, theory previously. So so that's already happening. That'll continue to happen.
Kumar Parakala [00:23:10]:
I have no doubt in my mind that those who are nimble and agile will go far ahead in, compared to those who are slow and steady and want to follow the the bureaucratic ways of moving forward.
Jordan Wilson [00:23:24]:
Mhmm. Yeah. A a a great question here from, Tara. So she's asking, what is your elevator pitch to those who are skeptical, skeptical or resistant to AI adoption, And how do you address the concerns of naysayers who believe AI may pose more risk than benefits?
Kumar Parakala [00:23:46]:
Yeah. I mean, I'll I would like to be a little bit provocative here, and I would say to those ignorance is bliss. Do you want to be in that blissful state, or you want to come out of it? Just look around what is happening and open your eyes. Just look at what capabilities ChatGPT just download it. It just probably cost you 10 or $15 a month, and start playing with it, and then start asking ChatGPT 4 point o, some questions and see the power of what it is. So, you can't do anything for those who want to close their eyes, and don't want to participate. But but those who want to willing who are willing to experiment, I think they should experiment with these various models, and they will understand the transformative power of these models. And they'll very soon start adopting them in their own ways of working, and that will lead to shifts.
Kumar Parakala [00:24:47]:
So my message is, yeah, I'll motivate people to look around and start experimenting and playing. Don't be in the state of ignorance is is bliss. You know.
Jordan Wilson [00:24:59]:
I love I love that. That's such a great answer. Right? Just cut it off. I tell people it's like, yo, look at follow the money, right? The 6 largest companies in the US. Yeah. They have all gone all in on AI, both with their investments, their time, their resources, their humans, right? Yeah. Yeah. You gotta follow the money.
Jordan Wilson [00:25:19]:
So one one question another question I have, for you, Kumar, is is kind of just the the capabilities, of these AI systems. Right? So we talked about, you know, in the last 18 months how quickly they're changing. Right? So how do you, as the head of a very large company, you know, keep track of this? And there's all this this talk, oh, you know, this new o one reasoning model from OpenAI and, you know, AGI, artificial general intelligence. Right? As the president of a very large company, how do you both, you know, keep your eye on those developments and, you know, take advantage of them, yet do the the the right thing around, you know, the future of work and and and ethical AI. Right? Like, how do you balance those things?
Kumar Parakala [00:26:04]:
Yeah. That's a great question, Jordan. And, no one can get their hands around what it what is happening as far as the evolution of knowledge is concerned. The the evolution of AI and technological developments are, far greater than we can really keep up with. So, what I do is I collaborate. I read a lot, but I I collaborate. I, I have a I'm a member of the leadership team in Silicon Valley, where there's a lot of lot of this innovation is happening. And I try to focus on areas that will directly impact my industry, my people, and society in general.
Kumar Parakala [00:26:54]:
And, then I motivate my my clients to think about some of those changes, and we we get into a mode of active experimentation. And and, again, on the other side, I engage I'm I'm I'm engaging like many other leaders with regulators, lawmakers, to explore how do we put guardrails to to be able to manage something like this, which is again growing at an explosive pace. So the engagement of all leaders need to be multidimensional, including, the you know, if if you're a CEO or chairman of the board, you have very important role to play in the use of a AI and also definition of the path of future a use of AI. You cannot simply delegate this to technology people and say, hey. I'll I'll look at it when the time is right. Because, for me, AI transformation is business transformation, and that's the only way to remain competitive in the business. There's no escape from it.
Jordan Wilson [00:28:03]:
One one more quick question from our audience here before we start to wrap, Kumar. So Monica asking, what specifics are you seeing on how AI is impacting your industries?
Kumar Parakala [00:28:15]:
Yes. There are there are many examples that we are beginning to see. They're all in experimentation stage, but I'll give you one, use case that we have, you know, successfully, achieved. So, you know, as you know, GHD, supports the infrastructure industry, roads, dams, ports. We support, the building of those industries, and building of those, assets. So, road authorities if we take the road roads, you know, everybody's familiar with roads. Road authorities typically manage large number of standards and guidelines which are relied upon not just by their own technical staff, but also industry and local government authorities. And these standards and guidelines are different for every state, and they vary in a very, very big way.
Kumar Parakala [00:29:13]:
With the advent of generative AI, large language models, a client of ours asked the question, can LLMs enable the automation of identifying documents across, that that can cross reference and assist with prioritizing key updates. We worked with our clients, in a in an experimental co creation mode, And the the results of a trial on various road design and operation documents, we we were able to achieve, almost 95% accuracy in cross referencing and identification of relevant documents, which is, again, very, very complex. So, we have now started, implementing a a generative AI enabled tool called AI Library. And, again, complex data, AI has been able to help generative AI tools have been able to help us, you know, increase speed, and, you know, reduce many months of effort to, a few minutes. So we we are we are experimenting. So that's a that's a great example. We know that, generative AI is being used for design purposes. We know that generative AI is being used for, environmental and sustainability outcomes.
Kumar Parakala [00:30:45]:
We know so there are other applications too that, my team is working on. And, again, as I mentioned, they're all in, in stages of experimentation as we speak.
Jordan Wilson [00:30:58]:
Alright. Kumar, we've we've talked about a lot today. We've covered a lot of ground and and some great insights, you know, from how jobs are changing rapidly in the post generative AI world, the transformation of jobs in the AEC industries, how AI ignorance is bliss. I love that one, but maybe what is your one most important takeaway here as we wrap up the show, you know, about how AI is transforming, traditional workflows and processes and, you know, your best piece of advice for a road map for success?
Kumar Parakala [00:31:28]:
Yes. So I'd like to say the quest for machine enabled intelligence is now on, and that is doubling every 12 months. The intelligence that that that is possible. So my one liner is empower innovation through AI because that will then allow you as individuals and as companies to not only survive, but thrive in this rapidly changing, digitally accelerated world.
Jordan Wilson [00:32:06]:
I love it. Survive and thrive. That is what we're all about, and that is a great takeaway from today's show, Kumar. So thank you Thank you. So much for joining the Everyday AI Show. We really appreciate your time.
Kumar Parakala [00:32:19]:
Thank you, Joe.
Jordan Wilson [00:32:20]:
And, hey, as a quick reminder, yeah, we covered a lot there. So many great insights, from a industry leader, in Kumar. So if you haven't already, please make sure to go to your everydayai.com. Sign up for the free daily newsletter where we will be recapping everything that happened, on today's show and everything else in the world of AI so you can keep up with. So thank you for joining us, and we hope to see you back for more everyday AI. Thanks y'all.